清流社工网

 找回密码
 注册会员
查看: 6266|回复: 0

[社会调查] SPSS软件中英文对照词典

[复制链接]
发表于 2009-1-6 22:05 | 显示全部楼层 |阅读模式
Absolute deviation, 绝对离差
( E" j1 D: J7 p! s' }5 x3 e; hAbsolute number, 绝对数$ D5 Z  r& v0 P- `
Absolute residuals, 绝对残差$ X9 T+ a: f8 m6 N6 C7 K. Z: S
Acceleration array, 加速度立体阵
' L( W1 y6 K4 X* C; P. f; w8 ?Acceleration in an arbitrary direction, 任意方向上的加速度
3 R( q5 o& v0 m! `) kAcceleration normal, 法向加速度; O' F8 r/ b; _# x+ _9 c# O
Acceleration space dimension, 加速度空间的维数& x* S3 H: `" W  ?# |
Acceleration tangential, 切向加速度
, C9 m2 J: X- n& ^* ^+ }Acceleration vector, 加速度向量- @. B, P! h( L8 m& S' n+ ?& j- E
Acceptable hypothesis, 可接受假设' _$ [  e0 a: O7 j
Accumulation, 累积
4 V2 |; L% G) V$ ]2 xAccuracy, 准确度
, H1 i/ u  P8 \, @6 z) I& h: n6 FActual frequency, 实际频数
: |% X( T9 M% @& E& [  \& cAdaptive estimator, 自适应估计量
; R0 ~3 J% C/ c6 X8 s, W' s5 iAddition, 相加- v& O! ~/ g* ^
Addition theorem, 加法定理0 a& T- q: d) f/ h; m% V* T/ @
Additivity, 可加性4 ~2 B1 u. O6 L5 d9 B8 d
Adjusted rate, 调整率
( v1 ~( k+ P) [; e/ f( ?Adjusted value, 校正值
, h4 q# o. ~! w$ lAdmissible error, 容许误差: T7 r$ Q: Q: `+ r( u
Aggregation, 聚集性
- v, k$ g' F3 A: s! PAlternative hypothesis, 备择假设
) M+ b& V5 N& W' N- A* E( Z( RAmong groups, 组间
& p6 T$ }7 W, z; B- T" F+ v( j: s2 JAmounts, 总量; d5 h# W$ I% P) e: j  i( B
Analysis of correlation, 相关分析
* f5 b" z- ^% I/ C; Z2 EAnalysis of covariance, 协方差分析
1 g- S: N7 l. pAnalysis of regression, 回归分析
/ M8 @8 b% b4 S" [* dAnalysis of time series, 时间序列分析
4 e" V# M- n" l% ^' SAnalysis of variance, 方差分析+ X4 N; w# i! j$ B
Angular transformation, 角转换
; q; s  }8 U6 {$ N$ x. ^2 d  JANOVA (analysis of variance), 方差分析! g1 O6 }) G$ s: K1 Z
ANOVA Models, 方差分析模型7 a# z6 t% j6 K1 Q3 k" E0 C! j6 f
Arcing, 弧/弧旋
! i% W( @: `) @( p4 M: m6 LArcsine transformation, 反正弦变换
9 A  d( x# z% ~0 a2 AArea under the curve, 曲线面积2 x: Y$ `! V3 x; P3 ?  P  ?
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 8 @! }! a. @% b& i" a
ARIMA, 季节和非季节性单变量模型的极大似然估计
. g+ K$ I/ u7 Y: }" `1 c& m* FArithmetic grid paper, 算术格纸
+ V, ]5 R9 N* o% \. cArithmetic mean, 算术平均数
& x+ H) V' S, ]8 E5 n' rArrhenius relation, 艾恩尼斯关系
% y  Y2 w1 k# q- i) g; h6 AAssessing fit, 拟合的评估
8 D9 a3 J: x7 ?# ]) F. o& W% Y) LAssociative laws, 结合律
+ u4 R2 L- O3 g' hAsymmetric distribution, 非对称分布
" M8 P  `: {. tAsymptotic bias, 渐近偏倚, h% E- ^+ S$ ?0 q1 f0 _7 V
Asymptotic efficiency, 渐近效率
2 G7 O2 Q; \! ]- {Asymptotic variance, 渐近方差
8 G% A4 `5 z7 g4 d% U7 [Attributable risk, 归因危险度! C) S8 _3 Q' ^+ ]
Attribute data, 属性资料
2 a7 u+ n! A6 v  N% ~Attribution, 属性
+ n1 I8 x4 [8 [2 ^8 \( F& q6 YAutocorrelation, 自相关0 Z! U4 y7 g8 \4 {/ {' @, Y
Autocorrelation of residuals, 残差的自相关
0 o- Z4 `8 k. U' c/ ~9 N' D1 bAverage, 平均数
& W3 \) U6 j% g7 jAverage confidence interval length, 平均置信区间长度
4 d* s( e% k1 _Average growth rate, 平均增长率' N8 D- N, y) Y5 F& F4 F( x8 `
Bar chart, 条形图
% |; ?5 |' x0 |. ]Bar graph, 条形图
: \( ?1 H2 N( f  z2 g: O% y- a" kBase period, 基期
, t# F" a& ?; u3 v# r7 @Bayes' theorem , Bayes定理% f! Z5 Z5 ]& C$ H5 \" H6 D
Bell-shaped curve, 钟形曲线+ u. N8 P$ h/ Z7 X/ ~
Bernoulli distribution, 伯努力分布4 W* [( @+ q  ^" u* S
Best-trim estimator, 最好切尾估计量' v- T7 _" @0 F# G
Bias, 偏性
- B2 h- [: W: x+ i, l0 n- hBinary logistic regression, 二元逻辑斯蒂回归
! M) [0 b. A2 @Binomial distribution, 二项分布' G& L9 p- h+ q$ G& D, V# ?3 V
Bisquare, 双平方
0 {* U, w. z$ X; ^' V; hBivariate Correlate, 二变量相关0 }; D4 b7 H6 p: b" X7 z; \
Bivariate normal distribution, 双变量正态分布
' Q0 H# i) |; G- P4 U& _Bivariate normal population, 双变量正态总体2 q0 Q. a3 u6 v, K( R
Biweight interval, 双权区间
( w% c4 p6 f  O' x+ x* ]Biweight M-estimator, 双权M估计量1 E# h. Z( j# I- t, X4 x# Z+ F
Block, 区组/配伍组. T/ d7 w- Z3 X% y. y
BMDP(Biomedical computer programs), BMDP统计软件包
1 c1 M. [3 [* ?/ CBoxplots, 箱线图/箱尾图
2 N" q+ x- b% U( I, H: wBreakdown bound, 崩溃界/崩溃点  ?) D0 H% N( y  e+ G
Canonical correlation, 典型相关
8 R1 V6 O+ W! a+ p! O$ ICaption, 纵标目
4 F5 n  o5 U( k+ U! B1 H1 n  n, aCase-control study, 病例对照研究/ C  j1 N+ B4 J0 ^- [
Categorical variable, 分类变量
: m9 _$ v! U; ^* y/ p, HCatenary, 悬链线# y9 M/ J: ~0 ~
Cauchy distribution, 柯西分布
. M. D# w- A: N7 I3 A' NCause-and-effect relationship, 因果关系
# r. ~  L% K" c  C0 `9 f5 ~Cell, 单元! c! H. O, A! j* K( t7 h% o" n
Censoring, 终检
( T7 p$ _$ h$ k4 m  b+ u/ aCenter of symmetry, 对称中心
2 M9 v, t5 k3 MCentering and scaling, 中心化和定标2 r) h7 a2 E+ h  C/ ~: y
Central tendency, 集中趋势
- C1 H9 d# i( M+ P1 }( tCentral value, 中心值
! j/ I3 [' k' o/ JCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测# `$ i2 ~! r0 |2 g/ l* m
Chance, 机遇( K, z* M9 C  b. n
Chance error, 随机误差7 k- ^& }# h# M, Q2 {% b, C5 [
Chance variable, 随机变量; x+ {, x: j- j3 L4 w1 N, V
Characteristic equation, 特征方程
5 F' w# c% }5 P8 B4 c+ @' LCharacteristic root, 特征根
) j9 q$ h0 ~( n* D% n/ hCharacteristic vector, 特征向量/ ^! {: \* b  B0 R; w7 u
Chebshev criterion of fit, 拟合的切比雪夫准则- H0 a- X  e% G2 {7 e2 s1 a
Chernoff faces, 切尔诺夫脸谱图
, N6 h9 l* t- T6 Z0 Z9 zChi-square test, 卡方检验/χ2检验
) v& W; `, Z  K4 rCholeskey decomposition, 乔洛斯基分解+ M& R- Y" E2 F( o) [
Circle chart, 圆图
  e. v1 B3 ?! K& v8 k0 O7 WClass interval, 组距
' A) {0 a/ w3 O% _* E6 T: k- W' f" VClass mid-value, 组中值
. E$ e; N/ v8 Z$ PClass upper limit, 组上限* A7 _7 T2 f! `% i
Classified variable, 分类变量8 \" v2 Z8 }) L# H1 ?
Cluster analysis, 聚类分析$ D& ^5 W, X* a6 J
Cluster sampling, 整群抽样. Q: }4 L" X: R4 R
Code, 代码
& L- f( N  v# L4 TCoded data, 编码数据
' T1 X- ]* b$ K  K# iCoding, 编码# h- R9 y! c5 A& i
Coefficient of contingency, 列联系数
. f) X1 k9 ]$ LCoefficient of determination, 决定系数
% K$ V# X5 N! K/ ^5 ]5 D/ iCoefficient of multiple correlation, 多重相关系数
4 X* O( \" K5 I5 w; p0 iCoefficient of partial correlation, 偏相关系数+ {! ]. Y9 |0 l$ }+ Y& q+ R( O
Coefficient of production-moment correlation, 积差相关系数
9 B, \) i" J1 H. vCoefficient of rank correlation, 等级相关系数
- J- ^+ ~! D1 l8 ACoefficient of regression, 回归系数. b- v5 x; z$ r7 `; I6 {3 N
Coefficient of skewness, 偏度系数! |4 ~9 r: ?) T0 `: Y
Coefficient of variation, 变异系数0 `. m' H1 q0 c# s
Cohort study, 队列研究# J. S0 Y' `. [' S2 Z0 {
Column, 列
% I0 j6 F4 j2 q& OColumn effect, 列效应" q0 _! n& G( U7 v8 |+ F2 ]* V
Column factor, 列因素, i4 x% i& f: H: c: r/ x) n4 d
Combination pool, 合并
1 u2 W; {5 t- |5 D: ~/ ^Combinative table, 组合表
* v9 n+ g6 i+ ?9 Q( Z) `$ lCommon factor, 共性因子! g# ]( \8 W3 I( c1 @
Common regression coefficient, 公共回归系数
" U7 v+ R. f! Y; {# ECommon value, 共同值" g( b8 c( ?, h- ]$ ^/ G' L
Common variance, 公共方差
  j' N- p0 d( f7 F0 wCommon variation, 公共变异$ Y( `" ~' ?- K6 R
Communality variance, 共性方差
& B3 s9 u' q( j5 W/ w2 b) IComparability, 可比性
, I; [0 @7 ^2 aComparison of bathes, 批比较8 h8 |( o4 U" D( ^) W
Comparison value, 比较值
" Q" p' h  d8 k5 e6 FCompartment model, 分部模型" @4 @- \9 L7 M" \0 \# n
Compassion, 伸缩
+ o& E; G% Z2 Q3 D( RComplement of an event, 补事件9 @( C% \9 g* K' {0 g- y
Complete association, 完全正相关  \6 y+ v+ `& B# T
Complete dissociation, 完全不相关
6 o. Q/ ^0 e9 F" ?. }- D2 WComplete statistics, 完备统计量9 p! g! H/ M0 ~- h
Completely randomized design, 完全随机化设计0 ]& q* h% c' s! Z+ n
Composite event, 联合事件
+ y9 D5 E: c6 v0 n+ `# k4 A( P% VComposite events, 复合事件
# O8 r: R  m5 J0 H% DConcavity, 凹性9 X2 G; e7 g$ j! ~' s
Conditional expectation, 条件期望
/ S7 v' N* _4 ]Conditional likelihood, 条件似然
: p* `+ j$ f3 _  v7 mConditional probability, 条件概率
3 q" f$ d( P; P3 V( M. lConditionally linear, 依条件线性
6 t' }# _/ Z- j  Z  sConfidence interval, 置信区间
& m% b' s% }/ D+ r" k& D5 I3 BConfidence limit, 置信限8 ?' u( q! w% T# m/ k% n
Confidence lower limit, 置信下限
6 _' [/ Q7 o7 V8 }$ mConfidence upper limit, 置信上限# Q, P8 r' u0 h9 m3 W+ X' q1 j
Confirmatory Factor Analysis , 验证性因子分析
+ m" d  o4 O& x& kConfirmatory research, 证实性实验研究
  V3 ]  v( a6 _+ Y  @9 Y2 R' PConfounding factor, 混杂因素
2 c, _* }1 ], B4 {5 j1 yConjoint, 联合分析' @' A: {% a& Z. C9 S
Consistency, 相合性) {: r* A! m3 X. l+ k& I) a/ `
Consistency check, 一致性检验
. \# a) [6 W3 S" p# S; _4 Q2 C, g$ [Consistent asymptotically normal estimate, 相合渐近正态估计9 r/ ^/ t6 N6 {  x5 f
Consistent estimate, 相合估计
3 F! \# C! ^# V  N& yConstrained nonlinear regression, 受约束非线性回归
4 I; {! T5 `" [8 n. ?Constraint, 约束
6 [( d- M# _: r4 |2 H4 XContaminated distribution, 污染分布6 [2 d- f! ?) u( L& g
Contaminated Gausssian, 污染高斯分布" c4 G/ q" T" Q. h0 s
Contaminated normal distribution, 污染正态分布# x- p: p3 _4 ~  h# [: ~# _! Y
Contamination, 污染
  P  _& Q- q" p! X, J' X* Q' ^Contamination model, 污染模型
3 r3 G" _: |4 E1 m" l! {9 ~2 c2 b7 JContingency table, 列联表
5 ~! P/ _) T7 H) h/ y7 C2 x" ?Contour, 边界线/ Y: |$ t) c: ^- Z7 `
Contribution rate, 贡献率
' G1 E. ]/ W4 n6 [8 v* Q" IControl, 对照
5 S/ c; K, `- v  G) AControlled experiments, 对照实验# q/ Y2 H2 z7 _- O* }
Conventional depth, 常规深度0 p) k4 g2 w9 Z7 p1 U5 c
Convolution, 卷积
  p, K5 \4 M) f0 p& tCorrected factor, 校正因子
, r" s, w, \6 \Corrected mean, 校正均值% @/ ~4 R/ N# ]" F& j& p& f
Correction coefficient, 校正系数7 J1 a  g2 @( B
Correctness, 正确性
) E% W2 n% \1 L, [6 R- |' HCorrelation coefficient, 相关系数0 m% ^3 n2 `: x* b+ W  E" }
Correlation index, 相关指数
  j; X4 z$ b2 k4 |Correspondence, 对应
4 e# s' }8 P/ ~7 A- n8 e2 ^& ACounting, 计数
+ N- D: {7 L, r; bCounts, 计数/频数/ c$ d8 T& C! b% }9 d. h
Covariance, 协方差
- N& B# b  @- L( p4 j- MCovariant, 共变 " O, I. s$ ?. R8 t; h8 @
Cox Regression, Cox回归
! N1 l: ~4 M' V9 V* S& P5 b8 @Criteria for fitting, 拟合准则
5 X& E8 Z# _. O* \# M7 S* fCriteria of least squares, 最小二乘准则8 j% G2 S0 b; Q& v7 Y" Z
Critical ratio, 临界比7 U) q* m, J. `9 @, Q! u
Critical region, 拒绝域8 t7 p  _  m* O! i* E' F2 S
Critical value, 临界值" R1 w7 |, W- ^9 p' G4 B
Cross-over design, 交叉设计
2 E$ `1 ?' z; ECross-section analysis, 横断面分析. r: q# e& Z' ^+ [0 E
Cross-section survey, 横断面调查
# _3 I6 x, I+ R' z/ A% S+ ACrosstabs , 交叉表
% V1 _/ O( L: d6 nCross-tabulation table, 复合表
+ F( `/ Y4 i/ f9 P; R4 R3 C- A8 _2 ]Cube root, 立方根
$ h0 r: _4 ]- M$ u. b8 ^& HCumulative distribution function, 分布函数; ?0 Z& s6 \) X7 M# o$ s
Cumulative probability, 累计概率3 m7 @3 B  ?$ {
Curvature, 曲率/弯曲1 R% y) b) k. I8 Y- e
Curvature, 曲率; {2 ]) [4 u) Y" }% i6 C
Curve fit , 曲线拟和 7 z4 v# l) c" e' ~6 n; J4 w
Curve fitting, 曲线拟合. Y- @- Y) B- P: e
Curvilinear regression, 曲线回归
" P: e; {* q, ?* g$ s4 M; }Curvilinear relation, 曲线关系2 t" y2 @% m( O8 v" q
Cut-and-try method, 尝试法" L1 C! l: C9 M8 U
Cycle, 周期
5 j( d+ g, k" I" w! ], ^Cyclist, 周期性( |; c9 Z7 y+ B. ~7 e
D test, D检验
/ S% K* o# ~' S' W" VData acquisition, 资料收集
* k: y2 R. D# ]0 O, n& S, eData bank, 数据库
/ @% [4 o. g& }. N# b  Z! sData capacity, 数据容量6 _) r$ J1 K  s, D( j6 f) |
Data deficiencies, 数据缺乏
' x4 @% w& Z9 S: B9 RData handling, 数据处理( ~; y% N& i( J1 o5 m  v! T
Data manipulation, 数据处理
) Z  v% k8 C& T; LData processing, 数据处理  d: d+ ?6 E* \! i4 b
Data reduction, 数据缩减
! w- W  X7 L8 `% v5 ~+ Q) P) |Data set, 数据集0 v8 b1 \) y1 O1 z9 I, |: h
Data sources, 数据来源
7 J* p6 }/ P4 B/ d7 kData transformation, 数据变换
5 D8 b/ r6 i1 d3 EData validity, 数据有效性
0 z) {8 o1 m) _& k7 jData-in, 数据输入
) a2 ?8 h+ Y! w1 Q4 ]) b5 x2 X; Z7 d6 BData-out, 数据输出
' A+ z8 o9 d) i4 k- n4 t3 HDead time, 停滞期
* f+ @) q/ X* x, }0 P: O9 E9 PDegree of freedom, 自由度6 R* Q' L8 r' \" I
Degree of precision, 精密度
, F7 }. R* M- P3 Y# _Degree of reliability, 可靠性程度5 D" g( r  X6 M2 {
Degression, 递减# m, e( ]( l" x7 A- L
Density function, 密度函数6 @: B: y" y, m
Density of data points, 数据点的密度
0 Q( r/ Y( I. J' Y" W4 n& oDependent variable, 应变量/依变量/因变量3 b, \+ f' s( f6 y) t3 U1 G
Dependent variable, 因变量; x/ `9 o  m# L. ?
Depth, 深度4 |3 m# Q3 N8 w. y3 x( O
Derivative matrix, 导数矩阵
# O. m. f8 ?" L# F1 [Derivative-free methods, 无导数方法
  ?$ g9 V, Y& X, ~+ NDesign, 设计& |9 u# x: m$ O" X) R  b, t3 j
Determinacy, 确定性/ c0 `6 e: ^& y; ~+ w- I9 }2 r& ~& i
Determinant, 行列式
. {% ], E. y8 j1 k+ d' TDeterminant, 决定因素
! Z% T5 R9 q( Z- M4 JDeviation, 离差0 R' @/ W' A! |6 E. q6 e
Deviation from average, 离均差
5 D. g' u. q1 JDiagnostic plot, 诊断图
! W- _3 a9 y3 O; N! ~  ]5 `: tDichotomous variable, 二分变量
5 n3 v/ Y: b& Q1 B  e& m( dDifferential equation, 微分方程/ B* @: q) D( X, ~
Direct standardization, 直接标准化法; v0 _( F" r, p$ e7 n
Discrete variable, 离散型变量! Q# W3 y. n; Y7 O7 F
DISCRIMINANT, 判断 5 ^) ], `& T: W. x- M
Discriminant analysis, 判别分析
1 H) P; Q$ e* d1 f! E: w( R2 }Discriminant coefficient, 判别系数
1 q; S/ y  r0 D  `0 wDiscriminant function, 判别值) F" Q& l3 a! T' ~; [0 Y' a8 t% g
Dispersion, 散布/分散度; |8 @$ x$ s2 D9 D! c1 T( A
Disproportional, 不成比例的
" n: K$ F4 t: H, G* M; g4 kDisproportionate sub-class numbers, 不成比例次级组含量
6 g) V6 Y, |( f* Q# B. P. JDistribution free, 分布无关性/免分布$ v( b* Q7 O# x8 Y  V/ @8 @
Distribution shape, 分布形状
+ l, i3 ]. m4 ^4 ?( ?7 yDistribution-free method, 任意分布法; ], Y) m& V4 {& J
Distributive laws, 分配律+ V( e# X& y! P
Disturbance, 随机扰动项0 v& ~1 Q5 A2 s
Dose response curve, 剂量反应曲线
+ e4 C4 j7 A; jDouble blind method, 双盲法+ L. v' }$ k+ R8 H, i
Double blind trial, 双盲试验: m2 W" Y# F) r$ C  d  G- [
Double exponential distribution, 双指数分布- J2 i. P8 Y3 b9 h8 h9 ?& H. L7 H
Double logarithmic, 双对数. w, D8 m) v3 O% v+ u
Downward rank, 降秩: W# z# M# }9 L9 P! c; f) b
Dual-space plot, 对偶空间图
) Y; x' d' o$ FDUD, 无导数方法7 g7 S8 U) `3 x5 q" k" g
Duncan's new multiple range method, 新复极差法/Duncan新法+ H% c! Q2 h& X5 Y8 E4 U, h
Effect, 实验效应4 N4 s. V+ @( d8 `4 C! o6 L
Eigenvalue, 特征值' V+ a+ V! n; n+ `0 }
Eigenvector, 特征向量0 F' j1 t3 i. z7 L
Ellipse, 椭圆! a, g6 X, x7 s0 A! A9 D$ U  A
Empirical distribution, 经验分布, V+ D9 x5 ?* G2 q, K1 M& t- I5 N- n
Empirical probability, 经验概率单位
6 l9 i$ |$ k' s% J5 u! `) G+ lEnumeration data, 计数资料
: ]- ?5 T# B$ B' UEqual sun-class number, 相等次级组含量7 n( C: `4 [# j- H# y- H$ Y
Equally likely, 等可能3 {5 p0 L% J, b! a
Equivariance, 同变性  B" U/ c& |8 ^9 J3 z
Error, 误差/错误
% {/ E7 R* g3 M4 c# M5 R3 B7 v5 a& ?Error of estimate, 估计误差; z% k: f4 a, I/ @! G
Error type I, 第一类错误, G5 N: `% v; j1 U( u* A, a
Error type II, 第二类错误# K6 e$ T9 p! {* D2 N  F: m
Estimand, 被估量
. k0 ?3 \9 s, IEstimated error mean squares, 估计误差均方
4 F3 ^  d: p0 TEstimated error sum of squares, 估计误差平方和
3 l/ r# Z4 ^, h1 @( ZEuclidean distance, 欧式距离
9 g% z, \* z1 M$ Z9 p: wEvent, 事件0 a' P8 }2 X+ J9 p! |- B. j* p. x
Event, 事件
4 s! E$ m. k- i. s6 _# L# HExceptional data point, 异常数据点
6 T) K1 i+ ?& M# lExpectation plane, 期望平面
* w8 w0 e  J& P1 i; k8 ^0 t% BExpectation surface, 期望曲面* P9 d+ S- h4 d
Expected values, 期望值. h2 y( h9 I% T% Z, m' V
Experiment, 实验
: ?4 A1 K. }" L$ \; `+ ]Experimental sampling, 试验抽样
) x7 a$ ~; y' P/ w/ B4 RExperimental unit, 试验单位
0 P- p1 ~' b2 U/ \; EExplanatory variable, 说明变量
' ^8 X9 K( D# s5 `6 `2 kExploratory data analysis, 探索性数据分析
/ H$ z7 f& L" ~' t0 NExplore Summarize, 探索-摘要" q# |. h- M+ n3 J+ x# l) p
Exponential curve, 指数曲线
, `/ X# u& w/ C; vExponential growth, 指数式增长' y) [  T/ B1 D' x# c0 U
EXSMOOTH, 指数平滑方法 , A& G' F. v. E6 |& ~) y+ b
Extended fit, 扩充拟合
  r1 l( K, h& @Extra parameter, 附加参数& @2 [2 [" g0 I+ l0 Q% f
Extrapolation, 外推法6 T0 T& d3 W* ^7 x0 {; K9 `
Extreme observation, 末端观测值
" t4 z* v; s0 gExtremes, 极端值/极值
" _2 a, s' a) F% o* ?F distribution, F分布
& w1 t- x$ E4 h' G4 v7 rF test, F检验" r- ^- Y% X8 ~$ G6 c5 s/ V* E
Factor, 因素/因子- y" r: s" Y' V
Factor analysis, 因子分析- ?6 Z" |( n# [! z9 v$ A' _( j! x
Factor Analysis, 因子分析) ?, c" U+ G5 ~! U1 E
Factor score, 因子得分
0 \: K/ ?$ l; EFactorial, 阶乘7 ~3 m/ I4 v5 o7 n
Factorial design, 析因试验设计+ g/ s* O; ]: c! u  i: w
False negative, 假阴性/ \# x; F$ B" x8 i
False negative error, 假阴性错误1 T, s2 e5 f7 }0 r& N
Family of distributions, 分布族
0 [0 f+ }# l6 [$ O' HFamily of estimators, 估计量族
! I* B& M3 e3 z7 v* f/ iFanning, 扇面$ k: R1 K7 d  u* l8 ]* w
Fatality rate, 病死率
" W* I8 G& W& D% I1 BField investigation, 现场调查' W8 ^# e9 j9 b( N- O1 @
Field survey, 现场调查3 S; ~0 ]8 o0 w& r- @  @# m
Finite population, 有限总体7 D4 p& Q! |/ Z) h5 b+ ?
Finite-sample, 有限样本( U1 F- `' Q6 u3 Z6 C( l
First derivative, 一阶导数* ?3 G4 f. H# o) P, n1 k9 {
First principal component, 第一主成分
0 q0 s4 A, Q4 I" K1 X5 h5 kFirst quartile, 第一四分位数
, T. c) f( {2 r9 ~  PFisher information, 费雪信息量( S" p  u" ?) ^! n( ]
Fitted value, 拟合值
1 Y% x7 x5 H/ `$ U1 M3 k: u8 Z  fFitting a curve, 曲线拟合
% y; v  T% ^5 c; T! MFixed base, 定基" e* b8 e# Y7 x
Fluctuation, 随机起伏
0 K, c; v1 _5 u, H! ^7 `Forecast, 预测. I( P, Y+ U; W' _# _( G5 B
Four fold table, 四格表
" f; ~2 y6 D4 P9 m5 i7 c) M& LFourth, 四分点, t$ ^& f9 v. v* D
Fraction blow, 左侧比率
( R$ H4 p3 W/ \, x  QFractional error, 相对误差
2 L/ \+ j* L$ RFrequency, 频率: o8 P- y1 U& g6 _: V% m6 j  s
Frequency polygon, 频数多边图$ C0 D4 L! x0 u; T( V" m, q; k
Frontier point, 界限点& |/ e9 p8 p  u+ k1 K7 M
Function relationship, 泛函关系- `' r  M2 B7 j  r7 z' ]  |
Gamma distribution, 伽玛分布
  }$ {# R' R9 ?; F0 Y/ y- FGauss increment, 高斯增量4 B: F. a7 u% Q' N( @8 p" ~. @; q
Gaussian distribution, 高斯分布/正态分布8 Z  _+ i4 o8 d! w( U( u5 f
Gauss-Newton increment, 高斯-牛顿增量  X" F1 Z! D- K: c
General census, 全面普查- _: Z+ ^3 [7 d/ g5 K( x$ G
GENLOG (Generalized liner models), 广义线性模型
7 S' k5 X" b+ W' l6 p2 sGeometric mean, 几何平均数8 v1 c, D6 G+ `. w  O- S) o
Gini's mean difference, 基尼均差
5 b5 {% g' F! X; SGLM (General liner models), 一般线性模型 * t3 n" i! M; O7 _
Goodness of fit, 拟和优度/配合度7 x/ q8 B$ W2 w, C3 F2 m
Gradient of determinant, 行列式的梯度- s2 I" p! M, v- p  x" P$ m
Graeco-Latin square, 希腊拉丁方& l$ \  Z/ S7 G8 w) E
Grand mean, 总均值
  a. N; q8 s4 \; P8 QGross errors, 重大错误
* A7 k4 h' E: Q5 n5 A% p5 nGross-error sensitivity, 大错敏感度
5 f" N# ]5 d2 n1 {3 R" w; L: ?Group averages, 分组平均/ h# r$ T4 S9 m' q3 l  o
Grouped data, 分组资料) }5 ^' B3 f( F) N: ^, q0 V
Guessed mean, 假定平均数( s' v/ ?3 n* t6 L2 b, r
Half-life, 半衰期: U8 r5 M+ h; c4 P0 P( _+ B" d
Hampel M-estimators, 汉佩尔M估计量" O6 f+ c0 v$ R% R
Happenstance, 偶然事件4 _, z3 ~6 ~8 w# K
Harmonic mean, 调和均数3 b( Z% @0 E, b7 m. {# ^2 w
Hazard function, 风险均数# s' r4 Y8 @1 ~
Hazard rate, 风险率1 }7 N) F9 U) `1 a1 P; b
Heading, 标目 % Y6 V+ ]6 @8 @- S& ^
Heavy-tailed distribution, 重尾分布2 d6 e1 B  S' V$ d+ o
Hessian array, 海森立体阵/ r" b2 i( d) `1 b; }8 P) P
Heterogeneity, 不同质
1 q$ D& D0 k! AHeterogeneity of variance, 方差不齐 ! A' @& R$ L  [+ v0 b
Hierarchical classification, 组内分组6 z7 k: I2 ?) _1 X- R1 s9 J
Hierarchical clustering method, 系统聚类法
: m6 b; ]7 j9 ~8 P7 u* i% h- Y3 M/ OHigh-leverage point, 高杠杆率点
7 c" s7 E6 g9 b' lHILOGLINEAR, 多维列联表的层次对数线性模型- J3 ^' c8 N' K
Hinge, 折叶点! V: `9 ~0 o3 p1 j0 p
Histogram, 直方图
3 {6 L6 e1 P5 X1 X+ r# wHistorical cohort study, 历史性队列研究
1 `0 c' H1 j3 e7 I3 V  gHoles, 空洞: h. H$ F* _7 R8 |; y! ]# Z. x
HOMALS, 多重响应分析
, D. p' c6 t1 nHomogeneity of variance, 方差齐性
, X: V; X4 Z5 {- G) SHomogeneity test, 齐性检验
3 h  u, L: I  e; ]6 O, iHuber M-estimators, 休伯M估计量, E) k' c% L  F% s7 l# a
Hyperbola, 双曲线% `1 [9 g9 b! l
Hypothesis testing, 假设检验, M& V7 W! }/ c' {0 L% m
Hypothetical universe, 假设总体; w1 M  I6 n% E+ {" `+ B, r
Impossible event, 不可能事件$ @/ I/ }; ]; C* h+ a6 m
Independence, 独立性
/ |/ \: D; c( ?& @Independent variable, 自变量
/ s$ f' T  I- i& u' cIndex, 指标/指数
5 @8 y0 J2 J& C: e' JIndirect standardization, 间接标准化法+ B4 y; H1 Y, y" u: n0 ~
Individual, 个体
4 o2 g1 T5 N, [/ e; X* Q) }& Y' sInference band, 推断带
4 g: U: @  U. q9 {Infinite population, 无限总体
0 Z( q% {: K7 W7 {) OInfinitely great, 无穷大' L4 m6 p; M- ^
Infinitely small, 无穷小* w5 F% q( x8 V/ ]' S1 ?6 U
Influence curve, 影响曲线( \& J: `; ~) [2 {0 E, A% e
Information capacity, 信息容量4 y/ H( c# E6 P/ ]; R: G+ I! u
Initial condition, 初始条件+ u$ y# ^* q/ w( Z9 W' ]% ~+ n
Initial estimate, 初始估计值5 I; J0 A* Q% w/ u
Initial level, 最初水平
! N# K! H& c4 M# `( [, t7 SInteraction, 交互作用
% d" A% H; y4 {- {- x7 \, JInteraction terms, 交互作用项- V* Y6 R$ a4 V4 R+ g" S+ O. r2 T
Intercept, 截距) W# ^0 m% t3 ?# P1 `0 q# {, Z
Interpolation, 内插法9 w8 N: M% V5 d- i+ C" Q4 N
Interquartile range, 四分位距
) P, c8 n) L$ t) `* `2 j: IInterval estimation, 区间估计
) w9 q7 G2 i$ d) y) bIntervals of equal probability, 等概率区间" Z& \# p. ]& F1 L/ Y
Intrinsic curvature, 固有曲率
) ^+ L1 z- ]7 z: c/ kInvariance, 不变性
" c0 C0 T: D8 f, a6 {% ^' q3 {: K/ ZInverse matrix, 逆矩阵
% W9 a5 D. a3 ^" ^Inverse probability, 逆概率1 [+ e- E  j0 t, S, i
Inverse sine transformation, 反正弦变换
- x7 I& M1 p5 i2 PIteration, 迭代 7 k4 J# k' A) ^/ F) ?! L% f- @
Jacobian determinant, 雅可比行列式
2 K  H% x1 F% M. n6 g  wJoint distribution function, 分布函数7 B+ d6 x0 G! ?. B. I. A5 P5 ?
Joint probability, 联合概率* B7 m2 p) |; q, V0 ?9 ^
Joint probability distribution, 联合概率分布
# U/ E0 n9 |  m7 n, YK means method, 逐步聚类法
( N$ l; I/ L0 W8 LKaplan-Meier, 评估事件的时间长度
: |7 p" ?. `9 R1 wKaplan-Merier chart, Kaplan-Merier图# _% K$ v( E% L4 s+ ]! O3 Q
Kendall's rank correlation, Kendall等级相关) m# @3 D! Y, k# K$ I
Kinetic, 动力学6 \# t$ ~; l- ]+ X
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验3 P" |" A; g3 k5 D3 O9 g
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验- d6 B) [) _! |; Z5 u; Q& D- F" m4 d
Kurtosis, 峰度
, J6 R8 Y! F" K! s" b" D% M: bLack of fit, 失拟
- Z  o3 p# u. I9 ?1 t3 ]Ladder of powers, 幂阶梯- T" P. g, @, N1 ?; ]3 G
Lag, 滞后+ k; v. u2 \- T/ P* h
Large sample, 大样本
2 t4 L0 |/ h6 H1 |, n. A. n1 C, Z: WLarge sample test, 大样本检验+ _+ f4 d4 b! E" v
Latin square, 拉丁方% m, d  K) ]" X
Latin square design, 拉丁方设计
5 k/ W7 u! }+ ]* ^2 vLeakage, 泄漏1 j& Q: f( M( Q2 E' U
Least favorable configuration, 最不利构形. S8 R# Z: t" ~9 {! ?, ]
Least favorable distribution, 最不利分布
1 |0 u- T+ a0 ?2 FLeast significant difference, 最小显著差法
; c0 Z5 R: U" {0 f+ i- N& uLeast square method, 最小二乘法
/ g, e) ^5 Z9 [2 Y& I! JLeast-absolute-residuals estimates, 最小绝对残差估计
/ X5 |. k; ~2 P& Y0 ?Least-absolute-residuals fit, 最小绝对残差拟合7 Y- M, r$ i& Y; X
Least-absolute-residuals line, 最小绝对残差线* p6 z" `# Z# H
Legend, 图例
* g/ M, G9 \/ T! B8 S" uL-estimator, L估计量
, D& H5 C. n$ T& GL-estimator of location, 位置L估计量$ {! `% B2 P% |7 K% c+ g
L-estimator of scale, 尺度L估计量) L6 t2 `9 K% l' V
Level, 水平6 f5 o) p- U# l# E9 g' R$ M5 c
Life expectance, 预期期望寿命; o1 M, C# g; r% w0 g# O  V2 [
Life table, 寿命表' s' h; b6 ?2 ?6 W5 w
Life table method, 生命表法9 R' C  V" H% ~- [% G
Light-tailed distribution, 轻尾分布  M$ d4 [/ d; v
Likelihood function, 似然函数
9 I3 M" C! L0 ^Likelihood ratio, 似然比
2 n' L1 @9 A# \% z- dline graph, 线图4 }0 p3 ]7 W# m& |
Linear correlation, 直线相关
; h9 L7 O; X6 ]+ zLinear equation, 线性方程1 f1 h4 n8 _) W! H8 ^
Linear programming, 线性规划5 h; C( \5 }/ e) E: W# W( X( L
Linear regression, 直线回归& A- ^) ?8 S' F' V, H
Linear Regression, 线性回归
& M; a! O# W8 r  |0 [; ?Linear trend, 线性趋势; O% k. w! I9 F- t2 U# O& u% p) ~
Loading, 载荷 ) N4 v* n) m2 G' F8 s
Location and scale equivariance, 位置尺度同变性
$ N; x9 T' \9 H: {1 W+ {0 YLocation equivariance, 位置同变性
5 k' a5 o- U  c/ ^. A6 S0 i8 o8 VLocation invariance, 位置不变性
! F* c9 a9 p; aLocation scale family, 位置尺度族, {( {% B* V; @% Q
Log rank test, 时序检验
* W  @' V+ A; @/ xLogarithmic curve, 对数曲线
  A# Z' r: |. x% P( FLogarithmic normal distribution, 对数正态分布
8 ]! g! ^! D8 ZLogarithmic scale, 对数尺度
% H/ Z% p: D' ^. k3 v) SLogarithmic transformation, 对数变换5 l: W" @( a6 J3 }, a9 B! ]
Logic check, 逻辑检查
' w5 a; Z( X! P# K3 [Logistic distribution, 逻辑斯特分布% n/ P- ]7 p, K7 P& s' b
Logit transformation, Logit转换
& H  r/ |; }/ h  d2 b) F. ~LOGLINEAR, 多维列联表通用模型 , L; e$ p& {2 e! u+ K, b  T
Lognormal distribution, 对数正态分布% [9 X) i" k# r1 R# I) o( F8 f
Lost function, 损失函数
* ]6 {" S" s8 ~$ d. a$ }Low correlation, 低度相关4 ?. w$ U- U; z
Lower limit, 下限) S4 ?+ @7 L' l! t9 ~, O
Lowest-attained variance, 最小可达方差5 }9 A" H* ^% U! F: s+ B
LSD, 最小显著差法的简称
9 q9 Y! a. w9 L6 H7 h8 I# qLurking variable, 潜在变量  ]1 E- J$ [: d& b3 A
Main effect, 主效应* K5 M! j5 x) p& k% @& Z! q
Major heading, 主辞标目
9 F  }' m  |5 f$ m7 XMarginal density function, 边缘密度函数
$ o8 t2 A- E1 G% n- q! p, UMarginal probability, 边缘概率
" S/ D, Z8 x2 gMarginal probability distribution, 边缘概率分布* [8 i" T3 A+ K
Matched data, 配对资料
# v% t2 B5 z8 C# V( }8 Q/ lMatched distribution, 匹配过分布
7 Z: T# x/ p9 y1 t- K+ pMatching of distribution, 分布的匹配
8 W9 C* W) z6 q9 r1 R6 @Matching of transformation, 变换的匹配, ]8 a# V% a% Z6 c9 L  v8 B
Mathematical expectation, 数学期望
, V+ `! [, X7 g" p* Z4 \/ SMathematical model, 数学模型
& r8 p7 s) q: x+ j' VMaximum L-estimator, 极大极小L 估计量
5 d# L) H3 u( Q' o$ aMaximum likelihood method, 最大似然法
2 `7 S' h) c! B: b* W* LMean, 均数
$ a# I' O& s/ F: ^' |Mean squares between groups, 组间均方+ I9 z" ~- {+ F6 i* L' P+ _
Mean squares within group, 组内均方: _: G; v6 V9 v3 ~, S+ Q  r
Means (Compare means), 均值-均值比较, _5 }8 {) E0 B$ b7 F
Median, 中位数# r" Z% u  p1 m0 \! _' a3 C
Median effective dose, 半数效量
2 `# @. e1 K! x/ R' H& I0 X6 u1 rMedian lethal dose, 半数致死量
! F, q1 B8 p7 q0 `' ^2 qMedian polish, 中位数平滑
* p' p: a/ D8 B, f7 vMedian test, 中位数检验( s7 m6 T" ~' \1 R$ H0 I
Minimal sufficient statistic, 最小充分统计量+ b* u# v/ l; h- x; {" p
Minimum distance estimation, 最小距离估计
# _( Z- T4 R; n* nMinimum effective dose, 最小有效量& r/ l. o! n; m. @3 y
Minimum lethal dose, 最小致死量+ M7 G4 w# b( W5 b
Minimum variance estimator, 最小方差估计量$ i+ \7 N# U+ B, y) O; J+ T/ ~$ \
MINITAB, 统计软件包
+ v* _) Q; a# o4 p8 I/ AMinor heading, 宾词标目
0 Y2 S2 D8 v, E- BMissing data, 缺失值
# e& O8 _5 a( v$ K4 x; W2 IModel specification, 模型的确定
# b; U  [; ]* P2 dModeling Statistics , 模型统计
- _! R2 Z. C) QModels for outliers, 离群值模型
$ S! ?7 T% \8 y5 w( FModifying the model, 模型的修正
) t0 W& o4 Y$ ?' iModulus of continuity, 连续性模" Q, X; H' |1 U
Morbidity, 发病率
7 ?5 E* y) X- U$ {! Y4 V! xMost favorable configuration, 最有利构形
3 Y- c1 A3 R. a" [# rMultidimensional Scaling (ASCAL), 多维尺度/多维标度
' i4 F7 l& l( A- W; c, OMultinomial Logistic Regression , 多项逻辑斯蒂回归9 N! X! N. b, D# s8 d0 l/ T
Multiple comparison, 多重比较
: i4 Z1 t& ~* K! dMultiple correlation , 复相关9 X- I6 t# P! o3 Q: ^9 B8 N
Multiple covariance, 多元协方差
, ]% u( U# ~( d& m& ]Multiple linear regression, 多元线性回归
! G7 D" E" `/ c; z/ _Multiple response , 多重选项' _6 n0 @* d5 W. w6 c3 F' S
Multiple solutions, 多解
4 U. ~! I7 H4 z* XMultiplication theorem, 乘法定理  P& g9 s8 E+ z1 Q
Multiresponse, 多元响应5 {7 [  V) A9 o" Q* S
Multi-stage sampling, 多阶段抽样5 @) I: D7 ?6 n
Multivariate T distribution, 多元T分布0 |/ }% n2 l% y- S$ T$ B
Mutual exclusive, 互不相容
' y; z# i# [/ Q) W8 n9 [Mutual independence, 互相独立
8 `# s. j" [! E# ]1 BNatural boundary, 自然边界
' R4 ?4 k- ^' r$ `8 @& ^4 NNatural dead, 自然死亡/ s; L- h8 X: A1 Q7 T2 q9 n8 c! V3 K
Natural zero, 自然零
7 o# S1 ^# p- w$ }; Y8 Y2 s4 }Negative correlation, 负相关* a+ n) a1 d; A3 R
Negative linear correlation, 负线性相关1 X2 g, Z: H( K, H. I! J; h3 n' W
Negatively skewed, 负偏
3 o0 r, t) s. h- S7 S2 _: ^Newman-Keuls method, q检验
, T5 u1 A" A$ k/ H! _  E1 RNK method, q检验; x0 _6 `6 m' _/ {' p( P. J: x
No statistical significance, 无统计意义
( B8 K! j2 W. r0 _3 Y! h  {8 ANominal variable, 名义变量' _7 H* u5 s1 m6 m: p
Nonconstancy of variability, 变异的非定常性
4 s5 b# j! Q0 S; aNonlinear regression, 非线性相关- y! V' F# y2 r+ S& U* H4 X5 ?0 Q
Nonparametric statistics, 非参数统计
7 m1 u8 P; U1 d3 iNonparametric test, 非参数检验
5 ^/ {4 r( I* t# {" L; k% oNonparametric tests, 非参数检验
* H7 [" r4 F. a( g0 u1 _Normal deviate, 正态离差
! K  }4 E- h( mNormal distribution, 正态分布5 }. O( s. m& t+ M, U
Normal equation, 正规方程组
. ~( I; d, @0 k+ D, j+ A8 oNormal ranges, 正常范围
9 _. e! x& l7 B9 m0 R8 L2 [, xNormal value, 正常值
- t& u1 z. M; c( Y7 H0 a5 d- pNuisance parameter, 多余参数/讨厌参数7 `; k. w# ^! Z. H# \( V" b9 q
Null hypothesis, 无效假设 ) \" N8 H$ s. P4 p7 C0 q( \
Numerical variable, 数值变量0 w' H& ]( B$ p0 e$ m) f* T
Objective function, 目标函数% ^. N2 Q6 x/ a5 t
Observation unit, 观察单位; n  m8 P/ D% J; Z( j1 K( j
Observed value, 观察值% A# z$ D+ |/ ^6 A; Y
One sided test, 单侧检验
9 G8 d0 Q# w; V/ JOne-way analysis of variance, 单因素方差分析
9 `, b/ e, |9 I0 L5 G( {+ rOneway ANOVA , 单因素方差分析* E) p9 o4 b' p4 a$ ^: G6 a6 b5 k
Open sequential trial, 开放型序贯设计
. s' Y7 `) c  G6 c: YOptrim, 优切尾
* R) L( k6 f9 N+ S* H/ A: t  ~- |Optrim efficiency, 优切尾效率; c$ p7 q9 m* M
Order statistics, 顺序统计量
: a: ^1 r2 a% h. w, zOrdered categories, 有序分类
$ D. m6 ^( b) O$ C' QOrdinal logistic regression , 序数逻辑斯蒂回归
. R% f3 D5 }% W( G5 H0 |% \+ Q3 YOrdinal variable, 有序变量# h$ ?0 X. C  G6 F2 u
Orthogonal basis, 正交基: p9 f3 @6 F9 o* n
Orthogonal design, 正交试验设计5 D! \3 K  w6 O2 k
Orthogonality conditions, 正交条件
$ Y  z* i+ m0 k$ JORTHOPLAN, 正交设计
7 s; o  f) R# Z8 x) }7 B& ]Outlier cutoffs, 离群值截断点/ r3 R+ ]0 M! F3 |2 H9 R
Outliers, 极端值
" m2 ~! A) l$ J3 w; x4 c! `7 zOVERALS , 多组变量的非线性正规相关 % v0 }) H7 G) W
Overshoot, 迭代过度- l, L% T& U8 M$ G$ T
Paired design, 配对设计
7 ?$ w+ C, h! U, f! t6 zPaired sample, 配对样本
+ A( o4 g) J1 [& b* RPairwise slopes, 成对斜率
: k& m4 a6 |9 D7 U  V- NParabola, 抛物线
1 t) C" Z4 @& q! X1 m8 r2 d( }- yParallel tests, 平行试验" R+ e! K" B/ z, `
Parameter, 参数" `- Q7 |$ y+ j7 r/ U6 V; M
Parametric statistics, 参数统计! E! z7 x" t; S. E
Parametric test, 参数检验+ ]- [* w: R( j% C) Z$ t" Y; J! Y0 o
Partial correlation, 偏相关
- o2 N( y4 G- |6 c* ~Partial regression, 偏回归
# a. w: k! l) V8 t. vPartial sorting, 偏排序
& X  Q6 a% L3 t! I0 n: G* ]Partials residuals, 偏残差
1 Q# U; M3 O. l3 P- t; ]* r; n" ~Pattern, 模式% N! G) z& T- c, e; n( N: r
Pearson curves, 皮尔逊曲线$ K: q' u' f* M
Peeling, 退层
6 _- j2 |; n. o2 MPercent bar graph, 百分条形图+ ^/ c, x* ~" T/ ?! |1 g$ {0 b. g( O
Percentage, 百分比7 V% F' D3 b7 y& }- @" C' m2 p8 P$ m
Percentile, 百分位数
3 g+ l2 J* S' V; ^) vPercentile curves, 百分位曲线9 k: }5 e8 L, }0 |
Periodicity, 周期性
0 N6 q0 l+ j" o& q. w  dPermutation, 排列
0 ^" s: N4 }8 Z2 w$ j9 f3 tP-estimator, P估计量' T2 ?. w) u3 ]& x. y
Pie graph, 饼图5 E; D7 B2 ?  p' M
Pitman estimator, 皮特曼估计量0 D6 h/ j+ G# c! j
Pivot, 枢轴量
- m' h$ U- \! z/ h8 E& U7 _Planar, 平坦9 R8 h1 U2 d8 F  H9 s" b+ E  v
Planar assumption, 平面的假设
9 W* G. s2 G6 ]% o! g) D, w# W5 WPLANCARDS, 生成试验的计划卡
$ y( J2 ~" C4 a4 C+ WPoint estimation, 点估计
9 S, Q* d* ]/ g+ ?  EPoisson distribution, 泊松分布
7 L5 l! x" G2 y% t$ aPolishing, 平滑
' F/ ^/ N1 I' N. K+ A+ FPolled standard deviation, 合并标准差
! ^+ c0 m' O; h9 z5 w4 I) FPolled variance, 合并方差
' ?9 ~/ N( D& qPolygon, 多边图
0 Q) J+ w1 q% F. G/ EPolynomial, 多项式
7 z7 X6 s  h: l$ jPolynomial curve, 多项式曲线* @* r: \& b9 g8 e( P$ ]: ^8 i
Population, 总体8 K' W, K% W8 M; Z3 C( e
Population attributable risk, 人群归因危险度% t5 |  c+ f4 L7 |' `
Positive correlation, 正相关; s, @/ h3 n7 ^$ s5 o
Positively skewed, 正偏
4 Q8 W) F8 P/ y* r" `+ APosterior distribution, 后验分布' F" Y4 L2 [  f9 H$ M" g
Power of a test, 检验效能5 ]; r4 K: w2 ]
Precision, 精密度- h4 [3 f9 R! q) X) h( Z
Predicted value, 预测值8 r7 d$ X* a0 U9 r; I8 `+ I
Preliminary analysis, 预备性分析
$ F! U0 Q) {. V) D$ _  |Principal component analysis, 主成分分析7 _8 t1 w* h( w! \2 c
Prior distribution, 先验分布1 I1 D( H$ c4 H! j0 H
Prior probability, 先验概率' a% ]. ]1 J2 z9 |" K& |* E
Probabilistic model, 概率模型
- F/ _& P6 m7 Pprobability, 概率
& \9 U* h! X" R: n) X- MProbability density, 概率密度( A9 }3 ~* w! n# w+ _: Z: ]) _
Product moment, 乘积矩/协方差
. ?, J" W) C& u7 w" TProfile trace, 截面迹图
6 o: H! R9 `% Z. bProportion, 比/构成比, |# C; L$ P4 w- ^9 V
Proportion allocation in stratified random sampling, 按比例分层随机抽样# d# c& b/ K; {, B" h
Proportionate, 成比例
5 A) q* v3 w) F" O7 DProportionate sub-class numbers, 成比例次级组含量
+ l8 ^/ o: d+ C- ]" G' z1 _Prospective study, 前瞻性调查
6 e  Y0 D* }" b/ MProximities, 亲近性 5 a; w' J# A) p3 [% \" c( F
Pseudo F test, 近似F检验
: d& Y, m/ V* ePseudo model, 近似模型  u% F) k  C7 `; }9 a. n6 C4 c
Pseudosigma, 伪标准差5 `0 {+ e8 Z  V9 B
Purposive sampling, 有目的抽样  {. \( S0 m7 A1 k
QR decomposition, QR分解
% B* U& v! d$ Y6 M; |$ aQuadratic approximation, 二次近似! d9 A( R. z! J0 s$ U" `  m
Qualitative classification, 属性分类7 \: ]" u8 H- l8 s! p0 |9 x  f
Qualitative method, 定性方法# q: U5 b9 U& [3 w4 d4 s
Quantile-quantile plot, 分位数-分位数图/Q-Q图3 k3 m( _7 h  ?
Quantitative analysis, 定量分析( b' k  c8 E) P* M# }. f9 ^
Quartile, 四分位数
/ B, e# X/ q7 z7 P/ tQuick Cluster, 快速聚类! ^5 E: a: _5 b
Radix sort, 基数排序
' W7 }* A+ A, l0 w, o1 sRandom allocation, 随机化分组
( x% R4 O# f/ r% CRandom blocks design, 随机区组设计
" u4 d1 T2 Q# m- URandom event, 随机事件. l1 Q2 B# z) r5 {$ t; v  R
Randomization, 随机化
- V) }! Z4 R* l! R) Q' k" WRange, 极差/全距
6 L5 _9 L1 a! K) ?% ZRank correlation, 等级相关
  X; l4 h+ l  eRank sum test, 秩和检验
) F4 g" a% }# D. S% L+ {Rank test, 秩检验% C) z0 _; N0 R# o
Ranked data, 等级资料# J/ Z& z( P7 B9 D7 |2 i
Rate, 比率7 d' ?+ p& X; w  Y
Ratio, 比例% q) |1 d6 m+ U# S
Raw data, 原始资料2 w6 Y3 R: L9 l; q2 ^* P
Raw residual, 原始残差
+ B& u% P6 Z  u! G2 ~: z3 TRayleigh's test, 雷氏检验. y1 i" l+ y8 k9 ]: Y
Rayleigh's Z, 雷氏Z值 : r' G- Q$ X+ E+ Z
Reciprocal, 倒数
/ |! f) v" j5 k1 `Reciprocal transformation, 倒数变换
( \7 X! {  v0 G: C" D0 ?; ?Recording, 记录
& t9 u+ ]; v" t4 jRedescending estimators, 回降估计量
4 `0 G; Y! D, D$ CReducing dimensions, 降维: z# @" Z# G2 R3 p
Re-expression, 重新表达, R9 ]1 f# h( U' {* }$ m9 f
Reference set, 标准组
8 j. c6 N& C9 P' KRegion of acceptance, 接受域
( k/ A& ?: ~' t9 h# IRegression coefficient, 回归系数
  H. q6 C) h, d! b/ _/ ZRegression sum of square, 回归平方和/ x9 \" r; O: x* v
Rejection point, 拒绝点. B, z3 U' _$ V1 u  ~  z
Relative dispersion, 相对离散度
9 V/ [, }2 M4 C' [Relative number, 相对数( d9 i! {; q1 w9 `. `+ u8 L- w! }
Reliability, 可靠性. [+ Y% P3 e1 b' v4 P/ j
Reparametrization, 重新设置参数* L( D0 }1 s; q( l; @1 Q. m
Replication, 重复
* p# w# J; H& A4 SReport Summaries, 报告摘要
& }- v: @/ Q( r# V1 NResidual sum of square, 剩余平方和$ E/ u6 c4 n+ U) ]
Resistance, 耐抗性0 P8 u; x9 ?  T' s+ B
Resistant line, 耐抗线
7 {. _6 ]  ~6 C  b% {9 x9 ~" R  y1 {Resistant technique, 耐抗技术
* ]  y( ?; e4 h2 K# mR-estimator of location, 位置R估计量$ }- S2 I2 C" L+ p# Y
R-estimator of scale, 尺度R估计量; j, P* w  S  n8 _6 v9 p8 Z' s
Retrospective study, 回顾性调查
/ L+ g) w$ \7 I, ZRidge trace, 岭迹
) ^6 L5 ?5 L6 A/ ^Ridit analysis, Ridit分析( b7 `' F% v. I5 ~! f3 d
Rotation, 旋转. B& S& e1 a2 Y5 Y; L4 _/ _
Rounding, 舍入2 H- @  h6 C, D8 t9 z' j( f7 I
Row, 行# f! C* b3 i4 v. m0 R
Row effects, 行效应+ Z+ I+ m  ~) T( z: ?
Row factor, 行因素
1 e: i5 h' ^" O- CRXC table, RXC表
! o! X9 i& a  n& @; X$ f7 J! |Sample, 样本, @3 B5 B  G% ?9 U2 ^, V8 x
Sample regression coefficient, 样本回归系数1 L/ ?- h* k; [  ~% ^- h( w
Sample size, 样本量4 a( d; ~- J* |) R; f
Sample standard deviation, 样本标准差
0 T( J+ U! q% N4 B6 K2 A4 y$ d4 gSampling error, 抽样误差" L; c( k. O3 ?
SAS(Statistical analysis system ), SAS统计软件包+ }$ U' ?$ z) ?7 }: i# m
Scale, 尺度/量表
. z' e% _: F+ C- b7 rScatter diagram, 散点图3 f) b* ?; P+ A1 q% z6 X% J. n
Schematic plot, 示意图/简图2 a6 s, o8 E5 w! v) x+ {
Score test, 计分检验+ F: J" F: a8 }* u' g
Screening, 筛检& o8 M5 _3 e; G& a
SEASON, 季节分析
$ ?* \" g+ C+ u3 k3 }  {' @Second derivative, 二阶导数
# p8 K* O( u1 d+ mSecond principal component, 第二主成分  c- G8 q' Q* }6 ]# Q4 s5 v
SEM (Structural equation modeling), 结构化方程模型
% d8 ]5 M7 J/ vSemi-logarithmic graph, 半对数图' V6 W/ W6 R- {+ C) c. W
Semi-logarithmic paper, 半对数格纸
# m2 B$ M# o0 |Sensitivity curve, 敏感度曲线0 g- }' |, g$ Z* j1 q8 B
Sequential analysis, 贯序分析" L* _/ E9 d6 e* K
Sequential data set, 顺序数据集# g. y8 M+ Q+ C) D, q
Sequential design, 贯序设计
! J  |) d! q% d( ~2 z1 ZSequential method, 贯序法. @0 l# n5 J4 T5 X( k: J% C/ e5 l7 a
Sequential test, 贯序检验法
& ]$ B+ ^2 I, ]: {% m+ [7 o" h: RSerial tests, 系列试验4 g9 T- w6 T1 S
Short-cut method, 简捷法 + d) W* S4 N; X% [; T& [
Sigmoid curve, S形曲线4 L0 I4 t, q) m+ M' @
Sign function, 正负号函数
0 x8 w+ R3 D2 _( `8 fSign test, 符号检验
& s/ u8 @2 M) h. C. CSigned rank, 符号秩- Q9 o8 e! y0 ^
Significance test, 显著性检验
6 Y2 n7 y. d7 A4 ]Significant figure, 有效数字9 C* R" [, P, E' p
Simple cluster sampling, 简单整群抽样+ ^( C! B9 Y& q' Z8 S
Simple correlation, 简单相关
, w0 E+ Z: Z+ r0 B  j6 PSimple random sampling, 简单随机抽样
; Q% ^$ {0 D; v. o, gSimple regression, 简单回归* ^$ k* F0 I3 R
simple table, 简单表" a' c4 V' M- b$ ]1 m
Sine estimator, 正弦估计量  Q- t: I& ~! H( L# m: Y
Single-valued estimate, 单值估计
) _, z) {+ g3 lSingular matrix, 奇异矩阵. n' B. z. A% Z. _: ^8 }. B
Skewed distribution, 偏斜分布
3 ?$ Y) m! d3 T( ]Skewness, 偏度
( V' N" K5 s" g4 G( [3 y/ OSlash distribution, 斜线分布
2 \1 D( r- x6 F1 jSlope, 斜率
) X3 K: [( a; V' Z2 r# {% }Smirnov test, 斯米尔诺夫检验0 |: ]$ e) T" J' U0 E
Source of variation, 变异来源
6 w7 _9 t* w% U- H" kSpearman rank correlation, 斯皮尔曼等级相关
3 u% F2 _& W8 ~+ XSpecific factor, 特殊因子( I$ P. G, u8 I  x  W7 n) T/ e
Specific factor variance, 特殊因子方差
' V' a; e' A6 }Spectra , 频谱
" p3 j: g5 H! H# v& y* V  HSpherical distribution, 球型正态分布& I5 z! d( f- H" }$ T( q" y
Spread, 展布
- T$ `  R1 {3 Q( u8 p6 [SPSS(Statistical package for the social science), SPSS统计软件包
4 b8 _5 H8 u+ k2 Q% N: o7 w, C3 ^Spurious correlation, 假性相关
# v3 H1 k% Q8 g/ a0 w# _: r, jSquare root transformation, 平方根变换) J% N  ~: {! t! M' K9 @
Stabilizing variance, 稳定方差0 Z: L; ^' R8 c
Standard deviation, 标准差
) M- Z/ n$ W5 C3 ^6 d1 rStandard error, 标准误, W2 Q. `/ p/ [+ }& H
Standard error of difference, 差别的标准误
0 W2 X* F6 F) j/ `7 D3 bStandard error of estimate, 标准估计误差
0 q9 e/ C) G$ b4 o& d7 c" B# S5 s% EStandard error of rate, 率的标准误
) S/ |  b2 k( J8 i% u. cStandard normal distribution, 标准正态分布: A8 @2 n+ j/ F* P
Standardization, 标准化
7 ?- r$ @) n" b, |Starting value, 起始值
# e% s4 W( {6 a* S! H4 eStatistic, 统计量
8 L  K& W9 `% g* c/ Y: P: m; ~( aStatistical control, 统计控制/ y1 S5 I6 }4 d. P& l
Statistical graph, 统计图
- O; o2 k9 }/ N. e3 }1 fStatistical inference, 统计推断; S7 g& q$ E9 |0 c7 j. A0 I2 F
Statistical table, 统计表3 o; F: `$ ^* k) ~  ?
Steepest descent, 最速下降法! [0 h, o2 r" S- E2 |& w
Stem and leaf display, 茎叶图
3 J) p/ b7 y8 v, P! FStep factor, 步长因子
/ Y- |1 b7 u! I9 `2 I  ?( bStepwise regression, 逐步回归
! L# O# p! w/ t3 |: _Storage, 存* U% A- m1 d3 I9 R! d) F0 L' F
Strata, 层(复数)5 ~" t0 i- ]6 y& X, v, b- ~9 {; [
Stratified sampling, 分层抽样7 `, E# e5 Z4 v+ S
Stratified sampling, 分层抽样5 [4 m# f4 @0 u# {( e- Z
Strength, 强度. D' x2 M  c9 T) W% P3 @
Stringency, 严密性) f- K: C7 c/ v1 B5 [
Structural relationship, 结构关系
8 u5 ]; l- X, w8 IStudentized residual, 学生化残差/t化残差
6 J" ]6 [1 O& a$ v+ A9 A  f" fSub-class numbers, 次级组含量$ ?+ g6 M: W& M, X3 {' ~
Subdividing, 分割! k6 i2 _2 V1 m3 p) M: X
Sufficient statistic, 充分统计量
# Y/ b$ ~8 a+ `  M+ z* E0 {* zSum of products, 积和" _6 N2 D; `( }
Sum of squares, 离差平方和
- `) t# _' N1 [. A& jSum of squares about regression, 回归平方和) K8 O6 Q! h  i: h) d0 c  K& |8 n
Sum of squares between groups, 组间平方和
0 b/ }+ X4 C  bSum of squares of partial regression, 偏回归平方和" D" ?- H- ~1 f& f& _% O$ `
Sure event, 必然事件
0 H4 W0 L2 c) ?7 [% n7 I3 \Survey, 调查
3 t8 w9 Y; U; J6 HSurvival, 生存分析
$ |+ M& F# w& l9 K& f3 `Survival rate, 生存率
$ b1 F! L% x1 b1 D! YSuspended root gram, 悬吊根图( }9 R- v1 v9 w7 `0 }/ \
Symmetry, 对称
* d; I( \+ D( @- ~Systematic error, 系统误差0 M8 b4 F. q, F# q8 O, R% z2 H, x$ B# ^
Systematic sampling, 系统抽样
0 g1 K0 E' p# hTags, 标签
" {  r: g. N6 d' ]" HTail area, 尾部面积
! {' P* C1 e5 k2 `. k2 c6 HTail length, 尾长# j/ {/ X# ]( P+ G6 n% L7 u0 R
Tail weight, 尾重
9 Z/ }( x' @  F- \( R2 U, |7 ?Tangent line, 切线4 e5 l6 S  i3 O% z# _
Target distribution, 目标分布, P1 m0 C  y2 e9 e2 r) X" Y
Taylor series, 泰勒级数
3 b, U; x; `. z. I3 e$ U! B6 ^/ FTendency of dispersion, 离散趋势
' I7 m6 U7 S' iTesting of hypotheses, 假设检验
# F- f3 j! {. v( a! qTheoretical frequency, 理论频数
7 f7 V, V9 o7 m9 n3 ?) {3 BTime series, 时间序列
- N/ R: b' `' {- J2 ^Tolerance interval, 容忍区间
& _& I2 h2 Q( fTolerance lower limit, 容忍下限
0 c9 I, H5 r/ x) p/ RTolerance upper limit, 容忍上限
! ~9 Y7 ]: v0 b0 b) z+ V6 JTorsion, 扰率) ~! v( c( L: o6 k6 b
Total sum of square, 总平方和$ D8 X. K+ ^7 _, w6 G
Total variation, 总变异
$ x8 m3 l6 Q: O  E- W- jTransformation, 转换9 g. W  r$ m$ Y. R/ d4 }4 C
Treatment, 处理6 t+ R7 l  Y  S' p/ h3 n; Y$ r
Trend, 趋势
1 i1 u! l" ~1 n" M* G0 a# DTrend of percentage, 百分比趋势2 I# C( A( u, H$ s4 y9 R1 E& G
Trial, 试验3 o/ h6 |" V! z' {7 b4 Q% ^/ D
Trial and error method, 试错法
# z8 S/ n" ^. E" o* o8 U7 R) uTuning constant, 细调常数" b# K4 G% G/ S1 Y; s
Two sided test, 双向检验  @/ m4 F& z& M  n
Two-stage least squares, 二阶最小平方
8 d+ q7 s2 z  b" `" WTwo-stage sampling, 二阶段抽样
: }( N2 F: q$ r; e$ V0 MTwo-tailed test, 双侧检验! `& t& j* S3 h% |4 F5 n$ T4 T
Two-way analysis of variance, 双因素方差分析' y- Q8 M( G1 z( M# ~% F5 A9 J
Two-way table, 双向表) A; a5 X- u9 r, x
Type I error, 一类错误/α错误4 F4 Z2 p7 p7 s& x% J% A
Type II error, 二类错误/β错误( M1 L6 e1 m% K, Z1 h% Z
UMVU, 方差一致最小无偏估计简称6 W: K1 I/ [2 a" T9 i
Unbiased estimate, 无偏估计. p, N: `$ t' h
Unconstrained nonlinear regression , 无约束非线性回归8 L; x8 f6 f8 ]# ]; W' a
Unequal subclass number, 不等次级组含量
2 w0 _" H2 e6 _4 V* D  lUngrouped data, 不分组资料7 q- g- r7 |0 C& O5 X3 @2 z+ W
Uniform coordinate, 均匀坐标* Y' d# u# N. [8 r0 d- }5 H3 g0 X* _5 ]
Uniform distribution, 均匀分布! R$ C1 I. D9 ^& ]
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
. E7 |! C& m; J/ f& A' [' lUnit, 单元
8 u( G  c. Q: o5 xUnordered categories, 无序分类2 O8 S1 t- f8 f, \0 M. L8 G* D
Upper limit, 上限1 g) n0 N) Q& i7 X# q# L
Upward rank, 升秩' D/ }8 s- S! l# K
Vague concept, 模糊概念
9 d2 r% V) h8 z6 XValidity, 有效性
; y# M- Z% N9 ]/ o9 g9 _! nVARCOMP (Variance component estimation), 方差元素估计2 U+ X6 m; c: s3 O% I$ y6 G
Variability, 变异性
8 m1 F5 x% ^# h; ^" s+ dVariable, 变量! w5 @* i+ x% F# b  w" N4 o
Variance, 方差
4 n" J$ D" t, @6 {! z8 FVariation, 变异
1 R. j3 f8 ~) G* X8 s7 o& V( YVarimax orthogonal rotation, 方差最大正交旋转
) {, `5 |' J- ]0 n+ F* jVolume of distribution, 容积0 d7 a+ \) K( L% V' p( ^  u
W test, W检验9 D+ q2 x0 e) U" O* s5 B2 R! C9 q
Weibull distribution, 威布尔分布5 O3 ~, s- v6 J; f' F- ~5 r5 d
Weight, 权数
3 a: B" p8 G- d0 BWeighted Chi-square test, 加权卡方检验/Cochran检验; f. P+ h8 M2 _! j1 C9 o" ?; t$ [
Weighted linear regression method, 加权直线回归# h+ W3 T& O7 n: b& O" i2 Z
Weighted mean, 加权平均数) J+ p  _) l0 X  |- }
Weighted mean square, 加权平均方差2 o% q# {& w, a  ~8 o, @
Weighted sum of square, 加权平方和1 T. k4 P6 U  M  X
Weighting coefficient, 权重系数
3 ?" M% R% Z5 r" ^( {: |6 V* \. UWeighting method, 加权法
9 b+ r( b. R+ S: r  }W-estimation, W估计量  `1 @# B: `+ k0 J- y) R! a9 I' S
W-estimation of location, 位置W估计量! C$ @# G0 E' S
Width, 宽度( G3 |4 C# r1 E4 E; [
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
- c, }6 V# q9 z& S, v% i; p7 k) J! S  ZWild point, 野点/狂点8 B# s4 G$ C& Z4 O9 H+ D
Wild value, 野值/狂值
3 e4 x& p# L& S# v: s5 @% I1 A4 tWinsorized mean, 缩尾均值
+ U$ R- \/ Z. B, c& JWithdraw, 失访
: }0 w3 M+ K; T2 m' H' IYouden's index, 尤登指数
, Z+ m+ [1 I1 I8 S; O: DZ test, Z检验( J. q( Y* H. d3 l/ ]8 c
Zero correlation, 零相关
6 b4 Y, |, J+ p/ W3 h% @; k1 u9 j$ NZ-transformation, Z变换

本帖子中包含更多资源

您需要 登录 才可以下载或查看,没有账号?注册会员

x
回复

使用道具 举报

您需要登录后才可以回帖 登录 | 注册会员

本版积分规则

QQ|李越老师直播间|清流社工网 ( 苏ICP备19044186号-1 )

GMT+8, 2025-12-11 04:29 , Processed in 0.089464 second(s), 8 queries , File On.

Powered by Discuz! X3.4

Copyright © 2001-2023, Tencent Cloud.

快速回复 返回顶部 返回列表