|
|
Absolute deviation, 绝对离差
' F# `! ?# ]1 ?% i% X8 fAbsolute number, 绝对数; `3 ~) o5 I! i% I9 e/ \5 J
Absolute residuals, 绝对残差
$ a: U; e% q- LAcceleration array, 加速度立体阵
9 w n2 g% n8 x$ L pAcceleration in an arbitrary direction, 任意方向上的加速度. X' p" l0 a6 l4 a
Acceleration normal, 法向加速度
6 @) v7 N+ i6 U5 h8 p- |8 B4 N- l( dAcceleration space dimension, 加速度空间的维数7 z) B0 y2 p$ t( [( q; m
Acceleration tangential, 切向加速度3 P C4 R: b' R" s3 I8 V7 A' t W
Acceleration vector, 加速度向量
. h6 q+ \: X/ q( z8 i4 J( O0 ]Acceptable hypothesis, 可接受假设+ N1 }5 ?! G( i
Accumulation, 累积
4 e3 B; [: _: u4 d: A; \Accuracy, 准确度% c1 }5 I* N2 O# m+ m: ]* I
Actual frequency, 实际频数
; d2 f2 e/ |) U! n$ SAdaptive estimator, 自适应估计量6 r9 v; R: C" v( a
Addition, 相加. [. o3 M3 l- O) @3 |7 i
Addition theorem, 加法定理: h5 G5 M8 p3 n7 @5 N0 \
Additivity, 可加性
G# P O: R8 s. V% e/ }& |1 U6 `Adjusted rate, 调整率
- b F5 F* z' Y' ]# S7 V7 qAdjusted value, 校正值
, N g4 j' o. ?! C, L. B* TAdmissible error, 容许误差% U, l6 F1 i* P) b' n4 y, A
Aggregation, 聚集性- Y3 E% u4 H+ o+ L
Alternative hypothesis, 备择假设
/ F' f0 A9 t7 k; E% XAmong groups, 组间
8 z0 X( O: z" f0 f* Y, mAmounts, 总量
, i; R3 e# p4 Y# |+ wAnalysis of correlation, 相关分析" @! n5 ~1 y5 M' ~9 e* U
Analysis of covariance, 协方差分析
( [3 ^, E4 O" qAnalysis of regression, 回归分析- k- d5 K4 F, h P0 E& J
Analysis of time series, 时间序列分析2 f1 G" _4 O3 [ K/ P3 l. h
Analysis of variance, 方差分析
5 x( Z2 P, _/ f* Q! L" FAngular transformation, 角转换
6 U5 l# D, _ t. Z9 v& R, ?ANOVA (analysis of variance), 方差分析" ~& A2 m; ?' ~- s z
ANOVA Models, 方差分析模型9 Z2 I$ P: x0 T* V. B+ @% O) l/ d
Arcing, 弧/弧旋
% ^2 a% |1 K1 N) Z* R0 yArcsine transformation, 反正弦变换7 F1 \+ Z5 T3 F7 c1 \
Area under the curve, 曲线面积
' r; u8 V( Q5 s3 PAREG , 评估从一个时间点到下一个时间点回归相关时的误差 9 @6 k/ p8 J- [; [& K! ^
ARIMA, 季节和非季节性单变量模型的极大似然估计 4 j5 J# v9 U% N* S+ J) R8 u7 C
Arithmetic grid paper, 算术格纸, ~- o- a$ j1 a/ x' L
Arithmetic mean, 算术平均数
* K6 a* [& k4 {+ s% wArrhenius relation, 艾恩尼斯关系
; B1 q3 O5 T/ Y6 @, T, ~Assessing fit, 拟合的评估8 r/ ^8 ]- O/ H8 @! ~& P
Associative laws, 结合律
* O0 A# U ]# j' pAsymmetric distribution, 非对称分布% w0 j5 P& }& b! ]: _
Asymptotic bias, 渐近偏倚
J; Q- d1 T+ h7 q1 K3 W- m/ OAsymptotic efficiency, 渐近效率
0 m3 T( d" O, j5 e' @ ~3 O% [Asymptotic variance, 渐近方差2 B9 U( [5 r( n; C: `9 n
Attributable risk, 归因危险度# ?- Y6 I4 @2 f1 K8 p
Attribute data, 属性资料+ @8 \1 y3 R0 S" j# S+ O- {- W' p
Attribution, 属性" u) F* Y: N2 O" [! L; x
Autocorrelation, 自相关. Z$ m, j5 P+ M7 T& c+ c3 B. z
Autocorrelation of residuals, 残差的自相关
/ O$ n, h7 y9 W4 {7 Z" Q V' ^9 e& rAverage, 平均数
. ~8 H* z0 \+ O6 UAverage confidence interval length, 平均置信区间长度
- s% M; x. H p$ d: \Average growth rate, 平均增长率
" @) \. R/ W" q% dBar chart, 条形图. g" M+ b" n" O
Bar graph, 条形图# ?, w" |+ }6 C
Base period, 基期
; K; N$ h/ e: z: j4 S W! uBayes' theorem , Bayes定理
1 H$ M; ~8 {1 ?2 H7 @9 JBell-shaped curve, 钟形曲线& Z$ r3 G1 f7 I# Q# w$ ?8 y
Bernoulli distribution, 伯努力分布
3 S) C* N* e/ l$ N3 P6 FBest-trim estimator, 最好切尾估计量
3 O" s3 j( D7 C6 D6 i* i( Y" Q xBias, 偏性1 ~8 P9 M' Z9 Y7 L' y
Binary logistic regression, 二元逻辑斯蒂回归
! }# Y# E1 ?/ BBinomial distribution, 二项分布
7 [5 P W% D( j' zBisquare, 双平方+ p) L' R6 E- D2 b7 {6 H
Bivariate Correlate, 二变量相关
8 C0 t6 q1 D: _# u8 XBivariate normal distribution, 双变量正态分布1 _9 S J4 v# o8 q' y
Bivariate normal population, 双变量正态总体: b9 p. [9 ^; F+ {
Biweight interval, 双权区间) z& M" O5 P: J3 l
Biweight M-estimator, 双权M估计量) k, h: q, `, Y+ c4 c5 ]
Block, 区组/配伍组
0 X2 C) G" o. x' W' R2 U& IBMDP(Biomedical computer programs), BMDP统计软件包9 l/ t- s+ ~& W$ t9 n- e7 ?
Boxplots, 箱线图/箱尾图
' _$ T) v% Y( `% TBreakdown bound, 崩溃界/崩溃点& Y. q9 `% C2 Z0 A: S/ c) i4 n
Canonical correlation, 典型相关
3 P- b' W* G' ]$ t. G4 JCaption, 纵标目4 a8 y) b1 P: f. t6 z
Case-control study, 病例对照研究% a' @/ P* ?2 M" L4 |% ^* E1 ?- F
Categorical variable, 分类变量
" L7 L8 d; v9 ^& x# j5 z }$ TCatenary, 悬链线
. T' M" r! j" pCauchy distribution, 柯西分布- B+ A7 j' k; g& V
Cause-and-effect relationship, 因果关系
2 V5 y% h% W hCell, 单元 B4 i- {" {. D9 g; u# ^$ w: Z$ v
Censoring, 终检; H- x) _- U0 I2 a9 O# {3 A1 O% t
Center of symmetry, 对称中心
; m9 [! z" ^( C# c+ \& rCentering and scaling, 中心化和定标
0 W( A- E& ~; A* F3 @Central tendency, 集中趋势
7 [' y" y+ }5 J* _Central value, 中心值
' M4 T- |% t6 B6 b$ n2 h9 T. {) O4 mCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测' u: \ h$ f5 @" e
Chance, 机遇& ~9 _, g/ Z& o4 \
Chance error, 随机误差3 k9 d2 {% l0 T3 q
Chance variable, 随机变量& g4 K$ X) N# {) e T
Characteristic equation, 特征方程$ x3 C y8 }9 w: S8 p
Characteristic root, 特征根+ }! }$ `3 b( D8 W2 H+ ^$ s
Characteristic vector, 特征向量2 E; \" [. n1 v# s6 c8 f: o
Chebshev criterion of fit, 拟合的切比雪夫准则
- v$ _" v. r# ^0 s" w" F* @' YChernoff faces, 切尔诺夫脸谱图. n* J) T% t2 M8 q( _5 w
Chi-square test, 卡方检验/χ2检验; E! r; X& v8 X/ a
Choleskey decomposition, 乔洛斯基分解
/ A' u) w- x0 a) [" _% yCircle chart, 圆图 $ L0 b% b4 E- |9 t% v2 X8 M9 h" C9 x
Class interval, 组距5 j" J3 b! J8 N) c4 g1 N
Class mid-value, 组中值
4 [8 Y( Y5 @- d$ N8 A8 B, L2 RClass upper limit, 组上限
5 I( C+ K$ l0 z, U% q2 K+ NClassified variable, 分类变量
7 x4 f6 ]+ V, J- E' OCluster analysis, 聚类分析
( r5 U0 O( r7 Y. J9 L$ FCluster sampling, 整群抽样" n" O, V# i8 E+ ?& h
Code, 代码; o9 U% a7 J5 _% D0 ?) L v3 e P. K% A
Coded data, 编码数据
9 r8 i! a" T; p7 K' ACoding, 编码; \, o2 s' \/ l% w" O4 a
Coefficient of contingency, 列联系数, Q5 t+ z; t Y, @& {' @4 B% w
Coefficient of determination, 决定系数
+ r3 y$ P U) a/ sCoefficient of multiple correlation, 多重相关系数/ a0 \8 B; \: O5 d2 ~4 D( r
Coefficient of partial correlation, 偏相关系数; L; z! M/ d+ s
Coefficient of production-moment correlation, 积差相关系数
" @. O2 ?( A5 f+ G, u. ZCoefficient of rank correlation, 等级相关系数
% q! c* k& d- R) C j, u$ D. [' kCoefficient of regression, 回归系数
! Z5 g$ D( P& A/ ~' Q2 hCoefficient of skewness, 偏度系数
0 Z% H; V2 r* T+ M3 kCoefficient of variation, 变异系数
0 d0 L1 c9 M" H" T' cCohort study, 队列研究2 x, m4 j6 G. V! L; P
Column, 列# v0 g F3 r1 L
Column effect, 列效应' d' R2 T0 ]# m# ~
Column factor, 列因素# @8 [9 r( y: V8 R
Combination pool, 合并
. f& l8 L5 I/ NCombinative table, 组合表
. _4 {9 r) b) R" D( I& gCommon factor, 共性因子# n! I" v1 N% ]# ~6 G3 P
Common regression coefficient, 公共回归系数
3 }" q1 R9 Q1 |) Z: \$ ^: @Common value, 共同值- s- u- r: _/ ]0 W
Common variance, 公共方差
* a3 Y8 g9 N. Y$ D- CCommon variation, 公共变异
9 k' }+ n3 D2 MCommunality variance, 共性方差, ?' L7 b( Y( S3 u
Comparability, 可比性; T" E7 ?) U" i: C: z
Comparison of bathes, 批比较8 {* l+ J; Y( W4 h, @5 n
Comparison value, 比较值
' f( s. R% H* GCompartment model, 分部模型
+ C+ ]9 o" j( P. x" J9 M) T- lCompassion, 伸缩8 W0 a$ [/ M4 Q! m7 ^, t9 a8 \
Complement of an event, 补事件
" l8 s9 M2 G3 T+ x6 RComplete association, 完全正相关" m5 E! S/ n# |7 W" K8 @$ R6 u, [4 F
Complete dissociation, 完全不相关
6 n5 x, C% G, Y0 c! FComplete statistics, 完备统计量) ?$ c) c9 l0 _# l
Completely randomized design, 完全随机化设计
$ c0 {7 ^, Q6 G, G2 e/ P/ {! ~Composite event, 联合事件/ _6 d/ @4 T0 `
Composite events, 复合事件2 s, w* Y. W! Y+ ?% }* j
Concavity, 凹性& u/ ~" n+ J' B! z2 P0 M
Conditional expectation, 条件期望+ F9 c. V4 j3 D+ e
Conditional likelihood, 条件似然
. G) m9 L3 i9 d: j: HConditional probability, 条件概率- ]# ?2 T# e6 H0 c( t0 o
Conditionally linear, 依条件线性7 j) P" |9 _6 [3 @, r- D! \8 `4 G
Confidence interval, 置信区间* z! Y; P* X8 O8 [2 O
Confidence limit, 置信限
& D7 q% z" g; Y! ?Confidence lower limit, 置信下限- d9 j* s# D6 S7 P1 `# ?. A0 o" Q
Confidence upper limit, 置信上限
1 n; \9 D0 K9 J8 j1 MConfirmatory Factor Analysis , 验证性因子分析) T; j1 K3 P( p
Confirmatory research, 证实性实验研究: w7 ? j. ` ~! l5 k% {( o! f
Confounding factor, 混杂因素
& j' Z, y' `! i0 |' I; F6 MConjoint, 联合分析! @/ e2 g# z* n4 q# X' a
Consistency, 相合性5 L% k6 s8 F2 Z3 }' \2 I& U
Consistency check, 一致性检验0 {8 K$ Y+ C9 M ?, Z
Consistent asymptotically normal estimate, 相合渐近正态估计4 o2 | f7 b* K6 R
Consistent estimate, 相合估计* }& ?) f% C# C4 ^! s l1 e0 R
Constrained nonlinear regression, 受约束非线性回归) H f% n( P: D* m# g$ e- |
Constraint, 约束
- R: G& f* f' P! L f& HContaminated distribution, 污染分布( V" i; b; |% v, _
Contaminated Gausssian, 污染高斯分布
& n% n" N% p C/ o: GContaminated normal distribution, 污染正态分布+ O8 E& _* c9 `. f# u* N! I8 x; u
Contamination, 污染+ B" H% G+ J+ X3 j$ f: R' d" m5 B
Contamination model, 污染模型1 u9 o7 q0 ]7 q
Contingency table, 列联表
2 |$ `- C- H. o @# JContour, 边界线# |/ P7 m# S$ g) L6 a. r( l$ [
Contribution rate, 贡献率. Z% D5 `( L, P( p) [! e H! V
Control, 对照
# s9 ^1 G* q, }$ C. W: HControlled experiments, 对照实验8 g2 J: A9 g4 y
Conventional depth, 常规深度
. U; |$ S4 B: o2 [) ~7 p# b& PConvolution, 卷积
- G) G) B! o9 S+ J( i4 {Corrected factor, 校正因子3 k+ ^% \8 u3 D5 a- Y) u
Corrected mean, 校正均值, ~& o7 D/ N* I
Correction coefficient, 校正系数
1 r9 R' `6 P- ^: V* G/ UCorrectness, 正确性
! t* E) E& t4 l8 jCorrelation coefficient, 相关系数
4 Q+ |1 ]# [- g0 sCorrelation index, 相关指数0 |3 B9 y3 W% P. n% C/ O
Correspondence, 对应
% [9 i4 h D0 {, J2 y* [7 `9 L7 bCounting, 计数9 V7 g% T" Z8 ~* f) j0 F+ `2 J
Counts, 计数/频数% ]: Q* L7 k2 w
Covariance, 协方差! D+ M7 ^6 \- v( U
Covariant, 共变 + Z0 z8 N* Y5 x( }
Cox Regression, Cox回归+ u6 M, k8 x6 \( ]
Criteria for fitting, 拟合准则
7 V( S- d: ^3 g$ i" b0 m! PCriteria of least squares, 最小二乘准则$ X( k+ h. J$ m& O) s6 m3 M+ f
Critical ratio, 临界比
1 r$ D. G2 ]6 [( R& [% J% N& K. n# E7 qCritical region, 拒绝域 S p- }+ E" |: i! W# ?( E- Q1 R
Critical value, 临界值
. e, W5 h, D. l7 t" TCross-over design, 交叉设计
9 B9 O" g6 |4 ~2 h9 C" jCross-section analysis, 横断面分析% i! k! T( `2 f* {) v& N5 U1 r
Cross-section survey, 横断面调查
' }4 ^- W$ X9 E6 ICrosstabs , 交叉表 + ?* k9 {2 o( l! [0 l. B, o
Cross-tabulation table, 复合表
; y6 h9 K8 n# G0 lCube root, 立方根
$ p" o6 ?1 i6 N0 n9 f z. yCumulative distribution function, 分布函数
; L! c6 k1 D( j, L6 PCumulative probability, 累计概率
& ?- Y$ l: S8 c' S, s- {# XCurvature, 曲率/弯曲+ E5 [; w% M. W% S4 d3 @
Curvature, 曲率
. ]& G3 S: S. ^, v bCurve fit , 曲线拟和 0 G: p7 _( C4 S: ` T& N0 u
Curve fitting, 曲线拟合 _4 g+ N: B" \2 X4 k
Curvilinear regression, 曲线回归
, W1 b5 P) u, P. q7 ^$ HCurvilinear relation, 曲线关系3 i( U/ E& I: G' n! F
Cut-and-try method, 尝试法
* A1 @' N7 Y" u/ X0 I8 aCycle, 周期
* b2 v8 V) Z6 U: Z3 ECyclist, 周期性
5 i5 E7 P, y% `# b0 y2 ~D test, D检验
5 L) J2 y5 T: w; A! WData acquisition, 资料收集
- X+ h( j) J. ?Data bank, 数据库
! s j8 Y3 U0 i6 [Data capacity, 数据容量 c1 u* w8 z- k$ N" K ~, T2 t, t* J; y
Data deficiencies, 数据缺乏
& M0 C; q2 [. q1 JData handling, 数据处理1 P1 |/ d* O% S- A+ E4 \
Data manipulation, 数据处理
9 j% j2 H5 `" y; C& H9 yData processing, 数据处理
5 ~+ {$ p! }+ o C7 VData reduction, 数据缩减, E: O& _8 f6 M* T8 L! b
Data set, 数据集: \& M- | R2 D' Y- k& J7 f! g8 j* Q
Data sources, 数据来源- k* u+ g- T. x' v# ]& s& ~0 G* p
Data transformation, 数据变换: Q4 V3 g/ l7 ~: s/ y
Data validity, 数据有效性7 V5 h6 `% m4 B( @2 y2 N! F' c' U
Data-in, 数据输入% A& ^$ C8 A- l: x$ s2 ~3 H
Data-out, 数据输出! o6 t* j( R9 o$ z- q; f% C
Dead time, 停滞期- g/ R! b% A9 u. F" }2 j
Degree of freedom, 自由度
# B4 S2 ]+ x! F+ a9 R7 eDegree of precision, 精密度3 ` x9 A* n2 e6 U
Degree of reliability, 可靠性程度
! m3 |! @! a4 f BDegression, 递减
! d$ n- D5 ^& H" mDensity function, 密度函数
@- P* B+ K. |/ oDensity of data points, 数据点的密度
% I, n+ X4 N }% P; M5 n1 bDependent variable, 应变量/依变量/因变量 k |/ y/ E. d# Y8 J* Y9 B6 x
Dependent variable, 因变量& [7 W1 q$ N+ H1 C) g' \: g g1 |
Depth, 深度
' }2 k% b- G9 b" i. u4 c' fDerivative matrix, 导数矩阵9 z/ ?) q: G' g/ o3 [9 p1 x
Derivative-free methods, 无导数方法- O: {$ x9 P3 c
Design, 设计7 }* n1 I! i; i& S* C- N
Determinacy, 确定性
) ^7 B7 j; O5 }3 HDeterminant, 行列式+ X& o% Y1 c" x5 _
Determinant, 决定因素
) E5 b' |6 J. p$ |Deviation, 离差1 B; ]- S4 v" ~ H- J9 H
Deviation from average, 离均差# {" C$ _2 v9 O* u+ D: ]
Diagnostic plot, 诊断图
( Z+ v2 B9 j% X3 A: lDichotomous variable, 二分变量
% u) r0 p* e/ j" X' I- F( k6 nDifferential equation, 微分方程$ b. L1 x9 A/ b9 q8 X
Direct standardization, 直接标准化法* |$ Z* j: l5 w% a) Y
Discrete variable, 离散型变量
; v2 x0 q( J$ t7 }" L3 u: |DISCRIMINANT, 判断 5 ]8 |- L' X5 ^* S
Discriminant analysis, 判别分析
3 ?, B P- G4 z, L( DDiscriminant coefficient, 判别系数
4 d. {+ r& B B f/ A0 U& F/ m% zDiscriminant function, 判别值1 o1 N2 S4 O; ~% B4 r3 T
Dispersion, 散布/分散度
0 @. ~, x5 R, a& @6 c' wDisproportional, 不成比例的- [- n$ N" M7 w+ B1 }9 \; f
Disproportionate sub-class numbers, 不成比例次级组含量* M+ H# F5 z% s0 `
Distribution free, 分布无关性/免分布* r: n. ~4 ?: `# w9 G7 H" t7 d4 I4 e
Distribution shape, 分布形状
9 q; f: ]/ ^! TDistribution-free method, 任意分布法9 |5 n, F8 @8 w8 ^
Distributive laws, 分配律$ @+ h: J+ q) [ K' J
Disturbance, 随机扰动项/ ]- {# U6 M9 D, ^
Dose response curve, 剂量反应曲线6 W* A0 n/ t" f# k
Double blind method, 双盲法# P6 C: Y0 h: I7 `
Double blind trial, 双盲试验' n3 w5 \* {" a; `
Double exponential distribution, 双指数分布 Q$ {+ n) w) s& T, N. ^; W
Double logarithmic, 双对数
/ I! u5 }0 k; m: ~0 K# t3 s: xDownward rank, 降秩' A5 d6 N* _5 O. ]) r) B
Dual-space plot, 对偶空间图6 Z3 k5 ^& y( t z) E
DUD, 无导数方法) \% u S* Y. b& C3 ~* S1 N
Duncan's new multiple range method, 新复极差法/Duncan新法- \/ E( P' b \" y; @' K3 G
Effect, 实验效应 H3 N$ @# Y' r2 d* i& e" o- k
Eigenvalue, 特征值
; Z- |; v/ ^1 q' o& T7 l8 C& ]Eigenvector, 特征向量4 x. k; B) M& K! ^ J/ M3 K3 y
Ellipse, 椭圆
) `$ c9 b& n/ q: x9 |3 O+ @Empirical distribution, 经验分布, j q1 X$ }. {& U- E+ M6 `9 s
Empirical probability, 经验概率单位# h& ?/ k( I+ \$ `' R0 }
Enumeration data, 计数资料7 d2 F7 c5 z4 g* u% ?7 \
Equal sun-class number, 相等次级组含量
+ k" h) C& u' w7 o9 q* rEqually likely, 等可能
3 _5 N* o0 V& q) g! s. t/ P- h7 Z' {Equivariance, 同变性" P* h# R" t/ n
Error, 误差/错误
2 I$ u# N, D8 ~/ OError of estimate, 估计误差
& E9 x. P+ p. z6 y* S3 L* D) gError type I, 第一类错误 k+ B" H+ C# u5 c# r& f2 n
Error type II, 第二类错误
9 P: G( |' ~* W" m mEstimand, 被估量
; h& W. |0 h: W; e- [Estimated error mean squares, 估计误差均方' L7 D$ ~% }$ o9 E6 O
Estimated error sum of squares, 估计误差平方和4 [( _( T1 D2 ]) u6 H p
Euclidean distance, 欧式距离
2 C4 I( E( V1 KEvent, 事件
( N$ Q8 E" ~9 ~: K# c( n$ tEvent, 事件
' Z8 o0 g7 I' J& Q' N1 ?Exceptional data point, 异常数据点
* V3 |$ t) M8 y) ?: gExpectation plane, 期望平面8 J- Q- {! g5 K1 A" [: {
Expectation surface, 期望曲面& X2 n9 |. R9 ~: V- {6 L: z
Expected values, 期望值
5 ?2 `) x5 w+ T9 \( W$ @Experiment, 实验 m! A1 ^$ \2 [# f. R( }" O& A3 C
Experimental sampling, 试验抽样! {8 g) G% e( f* s5 ]5 b5 v! q
Experimental unit, 试验单位4 `5 a5 S6 _' H
Explanatory variable, 说明变量. d$ m/ |; h5 t/ E
Exploratory data analysis, 探索性数据分析
/ b% b! a1 ?/ D4 l5 QExplore Summarize, 探索-摘要6 y- `6 u6 F0 k2 r1 ]
Exponential curve, 指数曲线. S7 C# u, F& X2 l/ l' C% s% c
Exponential growth, 指数式增长/ n6 F0 V9 W; r
EXSMOOTH, 指数平滑方法 2 g* w" w0 D) v/ e; V; y2 }% L
Extended fit, 扩充拟合- x/ h6 I5 O/ i
Extra parameter, 附加参数2 s& W5 ~$ x# A& p
Extrapolation, 外推法9 |5 o8 _5 ] U; T" L
Extreme observation, 末端观测值) Z: h" i( o+ u. Y$ `# E
Extremes, 极端值/极值
1 R6 c& \" c L. q- b1 GF distribution, F分布
! m8 P) H' p0 h7 D0 L8 yF test, F检验
7 A( {0 f/ g' Q' AFactor, 因素/因子
# p: t: c, b J# ]$ A2 AFactor analysis, 因子分析
! M& t7 ^: e' ^* R, _# z3 p# s0 X; HFactor Analysis, 因子分析
( G+ e6 r4 _' s. J% P! s2 ZFactor score, 因子得分
3 l; N$ X0 K nFactorial, 阶乘+ ]0 v; i8 [+ D1 d, `' I
Factorial design, 析因试验设计
2 T% J v1 w. a! P0 YFalse negative, 假阴性
' e8 [" t; U/ G0 NFalse negative error, 假阴性错误
0 Y, t$ `( t) X* W) h. ~1 {2 qFamily of distributions, 分布族2 T$ M3 }3 ?$ }2 j. m. S {/ R5 V8 l
Family of estimators, 估计量族0 g9 `4 @3 o" q( j! e9 S/ U7 x
Fanning, 扇面5 O" J: A0 h' _1 y5 h& N4 h
Fatality rate, 病死率
4 U3 o3 e5 Z' ~: YField investigation, 现场调查( P" [1 U9 p7 d* I
Field survey, 现场调查- q/ x. L* F! y2 `1 u
Finite population, 有限总体4 n, | w! T1 n
Finite-sample, 有限样本
$ R4 y! [ \$ m' EFirst derivative, 一阶导数
$ ]/ C! ]. y7 K7 F" \First principal component, 第一主成分
! ~) N6 L3 S* lFirst quartile, 第一四分位数
& m9 J# V+ \5 f. @/ ]) UFisher information, 费雪信息量- `9 E( v( [( ]6 `% _' k
Fitted value, 拟合值
, Q& ~! D( N4 t' L) [Fitting a curve, 曲线拟合* T) c& y% ^* P1 Y
Fixed base, 定基/ |* r0 b/ ~3 T* J) Q
Fluctuation, 随机起伏* M+ o/ t9 R/ v% f. v' L# `
Forecast, 预测( V. ]' I0 D4 X0 j
Four fold table, 四格表; F& B5 a$ s1 t0 [9 u
Fourth, 四分点
0 `/ h$ @) A9 h- e3 ]2 P4 |Fraction blow, 左侧比率& b7 t9 K4 B% t
Fractional error, 相对误差
8 T7 i/ y6 R% ^3 kFrequency, 频率; b- x; {' p6 A- E
Frequency polygon, 频数多边图
. M5 l8 r4 o! i$ fFrontier point, 界限点
' T# C2 D% z7 m4 ?% YFunction relationship, 泛函关系6 l1 N$ p( B7 Y. O6 |$ `" V# b' c
Gamma distribution, 伽玛分布
; |$ Q+ \" q- N* P- P& F9 _; dGauss increment, 高斯增量7 p: J& A9 G0 r7 f
Gaussian distribution, 高斯分布/正态分布) p- L- N7 k8 F& d; z
Gauss-Newton increment, 高斯-牛顿增量, X( o- A. g3 _
General census, 全面普查6 m+ B" X7 X: D5 M* Y6 u
GENLOG (Generalized liner models), 广义线性模型 8 [6 ~9 r! g: @' i1 ?
Geometric mean, 几何平均数
& _$ M S \2 b+ z IGini's mean difference, 基尼均差4 S* I1 g/ ~* A9 l7 a
GLM (General liner models), 一般线性模型 8 w3 X0 P- @" h; G! {
Goodness of fit, 拟和优度/配合度8 r4 x) @+ }$ n! t0 Q
Gradient of determinant, 行列式的梯度/ [- Z' l+ O+ L+ Z3 h+ O7 w
Graeco-Latin square, 希腊拉丁方
: j2 _. X! ?5 C. p" q2 j! A% DGrand mean, 总均值
% i0 ^, `3 P% S/ I$ f5 qGross errors, 重大错误
6 b! x4 g* Y0 z# RGross-error sensitivity, 大错敏感度
- K B0 k8 y: e$ ^2 d2 g" {Group averages, 分组平均. l& w @* F) Z4 P3 C/ G; A8 A2 _
Grouped data, 分组资料8 n: _* r O1 O9 e. p% L- Q! w% O
Guessed mean, 假定平均数$ |# ?8 |& {) m2 ^+ ^
Half-life, 半衰期: d- l. f! @+ x
Hampel M-estimators, 汉佩尔M估计量
) f) z. W$ \! ]+ ^Happenstance, 偶然事件
5 A D. p8 ^ o+ J% KHarmonic mean, 调和均数" }/ e& [$ Z; e4 s6 y
Hazard function, 风险均数
9 e3 Y8 D P4 D+ S$ @5 t" _1 hHazard rate, 风险率6 s7 e1 f& b7 V! a2 C
Heading, 标目
. [1 k3 X. ~# w, i# PHeavy-tailed distribution, 重尾分布
2 Q% E8 B2 Q, j3 O: X1 E: o9 vHessian array, 海森立体阵
6 l5 ]2 r/ w* w6 w: OHeterogeneity, 不同质
# k% X% R( Q$ z X ?$ ~* m. x+ ]Heterogeneity of variance, 方差不齐 ; O- p C- w- C+ U, A) v8 T
Hierarchical classification, 组内分组
+ b& v, ^. u5 l& u/ IHierarchical clustering method, 系统聚类法/ y- E9 N5 ?: D5 C, Q0 A( ]9 F
High-leverage point, 高杠杆率点
5 q, o M9 i9 k s" N1 WHILOGLINEAR, 多维列联表的层次对数线性模型$ B; H* t$ I$ f9 ]2 `$ y4 z
Hinge, 折叶点) }7 k( @" _) r' _) \' ^
Histogram, 直方图8 G( { ]- S$ a& ^2 D4 \
Historical cohort study, 历史性队列研究
( O6 c4 |9 s* M- n- Q% ]Holes, 空洞) n) b) I. O5 q1 Y$ z; w% t
HOMALS, 多重响应分析$ v( x7 Y" U; X- ~. Y" I7 G4 k' i
Homogeneity of variance, 方差齐性' U2 X! y8 X2 c1 p& p
Homogeneity test, 齐性检验
7 Q8 Z% h3 p3 I' v( i: n9 W' g: MHuber M-estimators, 休伯M估计量0 j: o7 [' u& p" C! t
Hyperbola, 双曲线
) n: ?8 l; f, Q! h) a7 M. W' aHypothesis testing, 假设检验
0 j6 h* }" q9 \: V) @$ X, i# kHypothetical universe, 假设总体% d, ~( V% i' M* Q0 j
Impossible event, 不可能事件
! G4 g3 V5 ^9 D$ _9 t+ a ZIndependence, 独立性/ H9 Y' w2 h6 a9 Z6 _7 t
Independent variable, 自变量
K1 l* {' @$ P! Y7 w2 l+ zIndex, 指标/指数5 w2 l$ A# t& j- {/ k( ?* o
Indirect standardization, 间接标准化法6 |& Z/ K3 }) z E
Individual, 个体
: Y/ {, v$ |/ e* [5 `! R% |& _Inference band, 推断带
( E' O% Y/ g+ _Infinite population, 无限总体
* h3 }$ V& k( Q) mInfinitely great, 无穷大8 i% P# u' K. ?; O: M; i
Infinitely small, 无穷小
, E+ u% u2 `5 u" R H: qInfluence curve, 影响曲线
: n! _5 c6 @0 {, gInformation capacity, 信息容量) U" t1 @. g/ M, B( r/ H( c
Initial condition, 初始条件
0 ]7 d, _, n* G/ V4 j. UInitial estimate, 初始估计值
0 B: g& D, n3 K8 ^8 Y' C$ `Initial level, 最初水平
5 W9 _; U0 X4 Q' F) _0 T6 uInteraction, 交互作用4 p- C% X% ?( W m0 c- f0 [9 F. ~
Interaction terms, 交互作用项+ r0 d) F7 b3 q& h
Intercept, 截距+ M! D( A; v- |, T) W( p
Interpolation, 内插法0 c, C, {- a# W6 T' }) P2 U
Interquartile range, 四分位距: j! o2 X0 e' t! E( @4 F
Interval estimation, 区间估计/ s' b) g0 F6 \. u$ d# w" K0 A
Intervals of equal probability, 等概率区间! W: P9 [6 G" o) T- b+ O
Intrinsic curvature, 固有曲率4 |2 `( k. U" u" P- F
Invariance, 不变性$ i5 O8 v4 A+ w2 z1 x# u* `0 B$ E
Inverse matrix, 逆矩阵
* c$ \5 Z8 m- X2 N+ [: q$ y8 HInverse probability, 逆概率3 g4 M" _. E t! V
Inverse sine transformation, 反正弦变换: ]. b+ v; y8 A7 a% \# z
Iteration, 迭代 $ ]; _+ R3 t6 T% t! G* U
Jacobian determinant, 雅可比行列式
% P% c% L& x# G* w6 YJoint distribution function, 分布函数
4 P" d C+ d! }2 N7 J" g, f& @Joint probability, 联合概率
/ c& P; I, x% Q7 X7 \" Z- i( B' ZJoint probability distribution, 联合概率分布
$ a$ p; L- i8 U; { j& @K means method, 逐步聚类法
0 o. H7 I: w+ o' I! Y: X1 yKaplan-Meier, 评估事件的时间长度 9 G1 u& B/ }& x3 c( E
Kaplan-Merier chart, Kaplan-Merier图
8 ~; a) Q& `1 y! mKendall's rank correlation, Kendall等级相关8 F) W! u, i4 A1 A
Kinetic, 动力学
/ M9 T" C$ o' j" X' V( nKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验% M% J& H! H0 ~/ D6 {9 f
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验4 \! G9 _; C+ ]# P n$ ^0 i$ X
Kurtosis, 峰度
: H/ g' j; W! t* u3 N2 |Lack of fit, 失拟
0 U, ~; o" e4 q" _Ladder of powers, 幂阶梯
7 E( [. I8 ?- K# ]Lag, 滞后
7 @. L" W: u" d. l$ W$ jLarge sample, 大样本
$ b( T* T2 a% n' [Large sample test, 大样本检验
9 H2 _, D c* O( O" ZLatin square, 拉丁方
( D4 ^6 a: k& j7 yLatin square design, 拉丁方设计
8 U1 A, A+ z9 cLeakage, 泄漏
& H3 D# {( d& ^/ x q9 k: _1 P1 Q& fLeast favorable configuration, 最不利构形
9 D9 z8 r3 n3 f/ p) j# x( VLeast favorable distribution, 最不利分布+ L4 Y9 Y9 v* p% ?3 j
Least significant difference, 最小显著差法
% A/ N" c: P( z& y4 SLeast square method, 最小二乘法5 I6 ]7 L7 L; _* I& m0 ~2 F
Least-absolute-residuals estimates, 最小绝对残差估计
* b) h) s+ ?6 Q# T& CLeast-absolute-residuals fit, 最小绝对残差拟合8 N# m: b- S: N* L% U* g
Least-absolute-residuals line, 最小绝对残差线
4 e1 f x& h$ p# u! P5 n4 ZLegend, 图例
9 Q P u% j1 z# c4 A: Y/ a- w- }, ~L-estimator, L估计量
: p+ n& F8 H* {# zL-estimator of location, 位置L估计量0 X$ }" M, O, t K5 k6 E
L-estimator of scale, 尺度L估计量/ A( F% L3 F* m7 ]
Level, 水平" V2 C" [" }7 Y+ h% n- o* C
Life expectance, 预期期望寿命
- ?% j) z/ ]2 M+ U2 g- XLife table, 寿命表0 j) j+ e' i( Q& r. S: [7 Y
Life table method, 生命表法
+ u" q9 V5 ^- d7 L5 dLight-tailed distribution, 轻尾分布4 T5 [" W8 v' I; z1 k
Likelihood function, 似然函数
$ D, `0 u1 ^4 D& V& lLikelihood ratio, 似然比' R! K' N; @6 ?
line graph, 线图0 j9 q# F [% l
Linear correlation, 直线相关7 _( F! n6 U$ V3 s h
Linear equation, 线性方程+ ], J$ \# D6 a$ q, C% t
Linear programming, 线性规划
0 A2 D7 ?6 E' {' gLinear regression, 直线回归
: N7 s' Z8 S& C5 FLinear Regression, 线性回归' ]# v* I8 \4 |; [1 m6 f
Linear trend, 线性趋势
. t$ ]. Q, C* \7 c7 C* {Loading, 载荷
6 c6 t4 ?) X6 O5 A! Y4 A, lLocation and scale equivariance, 位置尺度同变性
# P& v* J. j9 [+ l& bLocation equivariance, 位置同变性+ J, j j: c5 J9 P8 L
Location invariance, 位置不变性
( B6 H$ }+ f" c* C4 U( s6 U" }& sLocation scale family, 位置尺度族
# G4 [, |% ?, u# L; YLog rank test, 时序检验 / I) w* {/ a7 N1 b% S; | k- d* G. x
Logarithmic curve, 对数曲线
& t) n; x% s) f# rLogarithmic normal distribution, 对数正态分布
: t! B% c5 w* u aLogarithmic scale, 对数尺度# K! g; u$ [5 z! r' l
Logarithmic transformation, 对数变换, D% `$ Z; i& u9 b8 p+ P( Z
Logic check, 逻辑检查% k6 S9 _) z ~8 v
Logistic distribution, 逻辑斯特分布% U) K$ b+ U- \ d( u; G
Logit transformation, Logit转换
b: p5 x- s! Q8 I* `4 L7 l) d2 MLOGLINEAR, 多维列联表通用模型
: D- a( Q9 o F; w; p$ HLognormal distribution, 对数正态分布
$ U( q& g4 J$ e* f" ? g: \" dLost function, 损失函数2 i* _( Y, T7 o- \4 \; i9 s. {
Low correlation, 低度相关
" V5 G! a* M' m; }+ v" U% }, g5 oLower limit, 下限& }% P. {7 x' w S8 b1 V! {$ E
Lowest-attained variance, 最小可达方差! G( R/ f8 `: P2 b" q' d6 G1 b
LSD, 最小显著差法的简称/ I# A6 ~2 R# f0 C* C5 H8 y4 Z
Lurking variable, 潜在变量
9 ]' i7 {0 [: r% M5 l, W4 L" eMain effect, 主效应9 z& J) m2 F% s" e- _
Major heading, 主辞标目
& X& C& B- s8 G) M) uMarginal density function, 边缘密度函数
8 w# @, E+ g2 s, Y7 B. G" ^" {Marginal probability, 边缘概率
, ~( {) W) a% E2 [; hMarginal probability distribution, 边缘概率分布
" u2 x7 ^) V9 M; ~3 C; T/ sMatched data, 配对资料
& A8 Q y/ S& k: g& gMatched distribution, 匹配过分布/ S( d: _$ i" ~, K8 z
Matching of distribution, 分布的匹配4 H1 h; H+ @% w0 ~
Matching of transformation, 变换的匹配
0 r! S* |# G3 rMathematical expectation, 数学期望8 q) o. @1 V" n
Mathematical model, 数学模型 n J) g2 ]5 W5 K4 L
Maximum L-estimator, 极大极小L 估计量
9 N0 q1 C7 {2 tMaximum likelihood method, 最大似然法
# q: `( M1 ]; _! \Mean, 均数5 i/ u# c$ _7 t
Mean squares between groups, 组间均方
0 D( w& b+ _( T4 K9 U" ^- CMean squares within group, 组内均方
; l2 V, z q2 W9 ~. O: mMeans (Compare means), 均值-均值比较+ q+ D: A- R' @. M
Median, 中位数2 I* g7 N6 L! a# q6 v/ B9 M& k, N6 x8 n7 S
Median effective dose, 半数效量
9 u% k& W. p1 Q7 ~Median lethal dose, 半数致死量
6 S2 |0 j4 {5 I2 ]- h. hMedian polish, 中位数平滑
, W% u( E8 P. vMedian test, 中位数检验
/ Y O) U* U$ [1 dMinimal sufficient statistic, 最小充分统计量; r/ `, d" X3 v n- i m- n
Minimum distance estimation, 最小距离估计
3 h" P0 F: X! o) o$ i# f9 R& aMinimum effective dose, 最小有效量- g% _4 @0 V- k* u
Minimum lethal dose, 最小致死量% c9 @* L& A" P: E( K
Minimum variance estimator, 最小方差估计量$ s# l S0 ^- I: k
MINITAB, 统计软件包: J2 B$ E/ Z! M* j( M
Minor heading, 宾词标目, f y) k n1 B3 F; ~* {
Missing data, 缺失值
/ r0 H% c; }3 r4 l6 RModel specification, 模型的确定" x: r& f) N+ B9 H: h
Modeling Statistics , 模型统计
$ m1 B5 k- A; v' a* u) Z$ tModels for outliers, 离群值模型
2 m6 K9 ~3 c# j& N# M$ HModifying the model, 模型的修正
6 x9 i2 i( J9 n( W/ OModulus of continuity, 连续性模3 V) q1 V3 O' b: G
Morbidity, 发病率 3 O* x9 i1 ^3 B* H& ~) y
Most favorable configuration, 最有利构形0 s) t2 ` d) H& S
Multidimensional Scaling (ASCAL), 多维尺度/多维标度0 u2 p' J, {8 S5 C; ^
Multinomial Logistic Regression , 多项逻辑斯蒂回归
+ `. {* W( o( I4 p* }% l- QMultiple comparison, 多重比较
2 ^. u. b/ F+ |6 L SMultiple correlation , 复相关4 k' v8 @1 c$ h' M& o; N
Multiple covariance, 多元协方差
+ @" o8 g) o- C" n8 y$ A! fMultiple linear regression, 多元线性回归
2 h: G. K' q* Y; I: XMultiple response , 多重选项& M0 ?( U3 h. Q; M* ^5 l
Multiple solutions, 多解
4 }" y4 }1 v; j! {7 k$ TMultiplication theorem, 乘法定理
( [9 P, [% K1 w2 kMultiresponse, 多元响应
: M/ o) Q: X2 [. SMulti-stage sampling, 多阶段抽样0 O7 [0 j2 w# F7 P3 R$ Y6 Q- e4 O
Multivariate T distribution, 多元T分布
6 P6 S& s9 @/ @Mutual exclusive, 互不相容+ f% z, L! x7 B. p
Mutual independence, 互相独立1 Y3 r3 m- ^7 W
Natural boundary, 自然边界
+ h: s5 C# ?4 a! i* P" uNatural dead, 自然死亡+ N: r2 b2 |" ]7 o8 G
Natural zero, 自然零6 M* [$ p( f6 ^( r- n! s
Negative correlation, 负相关
1 I1 ]! V* m$ ?) `" UNegative linear correlation, 负线性相关
0 b3 v$ _6 w: ?Negatively skewed, 负偏
' X6 ^3 Q& B% j( _9 FNewman-Keuls method, q检验
: L' _! F2 G; F& k5 TNK method, q检验
8 y; m2 G" D# {No statistical significance, 无统计意义/ p6 X9 T9 u3 S: S4 U$ o
Nominal variable, 名义变量
% M0 g$ @5 }+ `Nonconstancy of variability, 变异的非定常性
; z6 a- a3 G5 K Q; y( m- G" iNonlinear regression, 非线性相关* M( q; b3 I* {% H& H8 w! y0 o
Nonparametric statistics, 非参数统计
; h u$ J, e) t/ R2 T* J& x5 g2 jNonparametric test, 非参数检验; I; @0 i& z1 u2 f; s: U5 ] C- H; L) \
Nonparametric tests, 非参数检验
7 o* }$ h6 |8 ~4 I3 G G& eNormal deviate, 正态离差4 _# c! z0 o' P
Normal distribution, 正态分布' D$ T; Q1 J/ r% A; y7 V. A! e
Normal equation, 正规方程组
! Z% F% N8 C2 o* i! T8 WNormal ranges, 正常范围
) L" m6 w% j& Q1 ^' [Normal value, 正常值
+ v7 [, O* N9 P! r- pNuisance parameter, 多余参数/讨厌参数
! U" D. A, u: L* Y& MNull hypothesis, 无效假设 3 a( {8 E# ~) ~( V# B |) G
Numerical variable, 数值变量
]* \* h7 k0 g3 n# x$ ~: hObjective function, 目标函数3 Y) d6 y( c4 L" D+ d3 p" D
Observation unit, 观察单位
7 t0 b/ |. _' ^$ GObserved value, 观察值
' M# o0 a, \8 h* k0 ?One sided test, 单侧检验, U) O) B1 g. @* ?5 S" j7 l
One-way analysis of variance, 单因素方差分析
4 z! N" d+ F! r. f, J; w8 ^+ M- sOneway ANOVA , 单因素方差分析
( N8 K9 i$ C5 k/ z. D+ _# GOpen sequential trial, 开放型序贯设计. ^* k/ a5 f [( y" ]
Optrim, 优切尾
6 |0 x( ~) s8 b! o2 w) g5 JOptrim efficiency, 优切尾效率 M, |1 p4 r" i- P
Order statistics, 顺序统计量: W7 M* m, }1 W
Ordered categories, 有序分类
% j% @( T! W- M" Z" V" [Ordinal logistic regression , 序数逻辑斯蒂回归
6 j0 v6 U' q' t, X! V+ s7 a) VOrdinal variable, 有序变量! E% k, V( u6 O+ D8 {" |
Orthogonal basis, 正交基& H0 R0 ~' m' B3 V" J' f
Orthogonal design, 正交试验设计' R1 y" w1 s0 o% M- S/ o- z2 A7 C
Orthogonality conditions, 正交条件
8 Z2 e b: X3 F- d/ y2 PORTHOPLAN, 正交设计
' d& |3 A0 T" j0 m7 R. _5 i bOutlier cutoffs, 离群值截断点
/ _- n5 j+ W# Y" qOutliers, 极端值$ m. d% ?& G2 G* A6 Z& W
OVERALS , 多组变量的非线性正规相关
7 a3 S0 U& \0 ?8 J" o% q. WOvershoot, 迭代过度
) E! T0 |) X5 C4 ^Paired design, 配对设计
: y# p! k4 u; T# xPaired sample, 配对样本/ J8 V* K* K% j" f o, i
Pairwise slopes, 成对斜率! t- g7 [& Y& c8 o; {" S8 s
Parabola, 抛物线
' R" N$ @3 t$ T: T0 e. J, b. j' eParallel tests, 平行试验
8 Y \; B, q( H, t: B$ eParameter, 参数* r% |2 [7 R+ H% w5 p( j
Parametric statistics, 参数统计
& `, B! c) i! b. |Parametric test, 参数检验
' e, X5 Z% v: m# YPartial correlation, 偏相关
$ @/ D7 m3 i U ePartial regression, 偏回归7 N5 }9 z# v* l2 T& w; Y" P8 J; I
Partial sorting, 偏排序* _; f2 L% {. O
Partials residuals, 偏残差
5 G0 H# ?, @# G ]/ I+ YPattern, 模式! U A/ v- C- i. }
Pearson curves, 皮尔逊曲线, m0 |4 Y9 b6 s
Peeling, 退层
8 t C# _8 Z- R+ R* JPercent bar graph, 百分条形图7 M- F$ a9 d$ P) X- s* A& k
Percentage, 百分比
4 v+ _ D" ?' x$ g! q# lPercentile, 百分位数
' u Y% f- E8 q! TPercentile curves, 百分位曲线: f( d5 U; g) H9 u% A: A
Periodicity, 周期性/ c) m- [- [. b4 R, l
Permutation, 排列6 A3 v( s, G, s( e
P-estimator, P估计量6 Y, }: }! m2 `3 z( I
Pie graph, 饼图% |% d7 ^2 \3 { y; L2 K% j
Pitman estimator, 皮特曼估计量5 `" y1 @" Q! X5 D& P9 h7 |) u
Pivot, 枢轴量- E5 a# w8 y8 |# G) ~
Planar, 平坦
0 O" s9 p7 w" b) D5 e rPlanar assumption, 平面的假设
+ _+ ~& K) i) a# V& ^, ^PLANCARDS, 生成试验的计划卡8 F, e ?3 V* a( ? ?% M4 y; q6 T
Point estimation, 点估计0 H. p! S& J! K. T: ]1 e
Poisson distribution, 泊松分布9 q, S- i+ g6 [6 h: h
Polishing, 平滑: K9 N, r7 i' n' g- b# G4 [' P9 |5 U
Polled standard deviation, 合并标准差7 {+ K+ g3 X% e, P
Polled variance, 合并方差
3 I7 Y" w) t5 R6 zPolygon, 多边图
) k- v* [5 C" ^6 r6 \, O/ jPolynomial, 多项式$ }" L; A. ~, i# s
Polynomial curve, 多项式曲线; x' O% y* `: j2 _
Population, 总体+ h4 S0 o( @# |4 V. V2 m
Population attributable risk, 人群归因危险度3 H8 d% K' r1 f V7 t
Positive correlation, 正相关( S3 @4 D9 d, m% x& b$ q
Positively skewed, 正偏
" ]9 o3 g% f$ x4 U/ G& C! rPosterior distribution, 后验分布
0 D' ~' {" z& Q. s# [- OPower of a test, 检验效能8 k& U2 M( V* e
Precision, 精密度
+ S9 a: y* ]0 T4 LPredicted value, 预测值' D7 ?- u2 n8 O8 _ i
Preliminary analysis, 预备性分析
- [! f% G5 E6 `( s, Y- H9 DPrincipal component analysis, 主成分分析
# D7 A5 N" w o/ x) c/ IPrior distribution, 先验分布* q* P* G( D. ^
Prior probability, 先验概率% Y5 L6 p! o/ `; I0 N9 A$ i
Probabilistic model, 概率模型
2 U( P, k$ d9 r) p! Vprobability, 概率6 m" H/ B& c6 n; r/ U0 h
Probability density, 概率密度
( i% S2 a& b( [+ X* n0 G% NProduct moment, 乘积矩/协方差* T8 O1 _9 G+ @1 L! _6 e5 v
Profile trace, 截面迹图. O0 z! a; Q+ J4 E+ i' S
Proportion, 比/构成比
, P+ p9 z6 `, x2 IProportion allocation in stratified random sampling, 按比例分层随机抽样1 ]" _# D/ `! Q6 u5 O
Proportionate, 成比例
7 k& D* |1 u- g2 P3 @* WProportionate sub-class numbers, 成比例次级组含量
" f: U$ C" w+ wProspective study, 前瞻性调查- F9 C( U6 h5 N0 e, T
Proximities, 亲近性 % B L. V- Z# c6 m
Pseudo F test, 近似F检验6 |1 N% c: Z- g$ @$ ?
Pseudo model, 近似模型$ C: o' i+ U9 W; ~2 I( ?
Pseudosigma, 伪标准差
0 Q$ D* x& H" \: t5 p8 KPurposive sampling, 有目的抽样
' P( s8 B: C) |0 mQR decomposition, QR分解! j7 @$ Z7 F/ y! t0 u
Quadratic approximation, 二次近似( p$ R3 r7 u; c4 S$ d* q0 |+ J
Qualitative classification, 属性分类( Y6 Z; k% v+ j2 R6 n D( W, Z! P
Qualitative method, 定性方法; w5 `5 a. \, F6 A
Quantile-quantile plot, 分位数-分位数图/Q-Q图) t# L; c1 m$ _5 n& ~1 L! P$ R
Quantitative analysis, 定量分析1 Y- M- \2 x4 ^ }) P( F
Quartile, 四分位数. }% [% F% T6 S7 o9 i$ [
Quick Cluster, 快速聚类: q% Z, Q8 R& D. R2 E
Radix sort, 基数排序8 m6 w- }9 u0 {* Q. v6 B- y
Random allocation, 随机化分组9 ?2 d; |. \! j6 \2 w
Random blocks design, 随机区组设计 K6 D0 H" b$ k5 P8 K1 F
Random event, 随机事件
/ d# M+ ~3 t2 V* HRandomization, 随机化
! L& ?( P7 e" @, Q& j$ i/ j1 yRange, 极差/全距9 ~( k% \' ]( `( z: G% z
Rank correlation, 等级相关
5 B6 ^+ ~1 V6 W# A8 r9 T# XRank sum test, 秩和检验
( ?+ o2 W$ D+ c- ` @Rank test, 秩检验+ a' L/ @( \( D* x3 H0 { L
Ranked data, 等级资料! h: \5 r& P1 e
Rate, 比率4 m9 n' c7 W5 @ _5 [
Ratio, 比例
# e! \6 g; p% @5 Y* G# {Raw data, 原始资料
" q, m4 T6 k8 }% TRaw residual, 原始残差6 V W/ ^ b2 j3 {
Rayleigh's test, 雷氏检验/ Y4 {( Z2 e# v/ a" {: N- Y
Rayleigh's Z, 雷氏Z值
# |2 j: {- O1 _) J0 WReciprocal, 倒数5 Q4 q L; o/ ]6 w% B2 O( y
Reciprocal transformation, 倒数变换& R2 O9 S8 p0 N/ x/ p
Recording, 记录
# H) Q% w+ t$ U9 wRedescending estimators, 回降估计量3 P8 r. R6 }8 k9 g5 q7 U
Reducing dimensions, 降维
$ W1 ~: q7 Y1 @$ d. `" t L4 m0 [Re-expression, 重新表达
# m( R! ]4 n# n2 ~2 j( FReference set, 标准组
: _/ l9 m' g, V# wRegion of acceptance, 接受域
! ^% l, ?+ b [* S1 V) Y" Q; vRegression coefficient, 回归系数
/ L. Q3 O3 H+ P+ i% JRegression sum of square, 回归平方和6 K' A8 c8 g" b# o6 K5 {" n' h
Rejection point, 拒绝点8 M8 [( I5 k2 z/ z% z9 v- }7 g# S
Relative dispersion, 相对离散度
+ |( S1 _( {8 {( `9 i6 E! uRelative number, 相对数
. l1 R0 P9 o1 L; c$ nReliability, 可靠性
) g" O1 P9 z" Y0 F$ xReparametrization, 重新设置参数& a2 U9 K, c: w6 l5 s9 F3 k
Replication, 重复0 {* c1 L0 c: ^" e) x2 N) z
Report Summaries, 报告摘要
' Z% `: a0 d( J: ^- R5 IResidual sum of square, 剩余平方和
/ @0 V8 f/ s! V" w8 L/ e& o$ MResistance, 耐抗性
7 t' I5 e; \. cResistant line, 耐抗线8 e$ q2 P0 `, W8 {( H
Resistant technique, 耐抗技术
& n; c0 v; V+ S2 B" x& xR-estimator of location, 位置R估计量
0 T f' `; @* v% [& q4 i2 }R-estimator of scale, 尺度R估计量
3 H( w9 r0 i# MRetrospective study, 回顾性调查( Y/ L) S8 e. [, ]1 T! z1 t" |
Ridge trace, 岭迹
; r6 U% K+ E1 r( g/ s3 a- KRidit analysis, Ridit分析5 ?" {0 _/ m: d3 _7 J+ F& r" t+ ^, s
Rotation, 旋转: J: Q* R! f, R& A8 K1 n* l2 h
Rounding, 舍入: [; }5 O8 h" v7 p$ R5 A4 u, o
Row, 行
2 z* c c9 D5 a) r' Q+ l! g) DRow effects, 行效应
, I; }3 c, C' t# w. V3 r# h D# aRow factor, 行因素% ]' V u) q- v2 W
RXC table, RXC表
1 v; j+ [4 H4 zSample, 样本) o5 W- R1 K& T( x8 e- P9 T
Sample regression coefficient, 样本回归系数3 [; p' Q3 t. K& w( j! s4 f8 `
Sample size, 样本量6 F* W3 U# B. p# _% _/ Z1 V. L
Sample standard deviation, 样本标准差8 p/ f; s2 |- G8 B# k0 Z3 p% o
Sampling error, 抽样误差
( I6 ]! N# C ?+ ]( F. I: iSAS(Statistical analysis system ), SAS统计软件包
5 ?3 Z+ P% T8 t1 m8 `3 dScale, 尺度/量表
@" [" [3 s" ~Scatter diagram, 散点图
9 a1 x5 t) H. s" t9 _Schematic plot, 示意图/简图7 O: T. h/ C3 \% [. n% }4 R& t* [
Score test, 计分检验' N. \% V' \$ i- u1 C6 Q( ~
Screening, 筛检 D0 K% u2 V3 E$ _* H
SEASON, 季节分析 ( I" X$ |, w# K# T5 Q$ c: x
Second derivative, 二阶导数
! j8 R+ T/ {1 P9 @Second principal component, 第二主成分
2 V! E! h7 M& g( LSEM (Structural equation modeling), 结构化方程模型 ' a+ X$ ?. S# r% o" V/ L
Semi-logarithmic graph, 半对数图. j) a, K: v% x& b6 j& Y/ ^
Semi-logarithmic paper, 半对数格纸
( t5 A0 r& G3 _ _/ tSensitivity curve, 敏感度曲线8 I6 `; {; _: d0 ?+ [7 f
Sequential analysis, 贯序分析$ ]4 V( F# I; h/ g6 P9 M% ^* l
Sequential data set, 顺序数据集' `8 X+ _ X# ~ `4 q
Sequential design, 贯序设计5 u! i$ M2 A5 g
Sequential method, 贯序法, L; f6 h2 r. @9 U- T/ e
Sequential test, 贯序检验法2 p7 ?, W, S U1 E, Y% ]( p
Serial tests, 系列试验
4 i: H5 L. k3 |% bShort-cut method, 简捷法
+ p7 h+ S9 r+ `, D/ u; TSigmoid curve, S形曲线
8 R. ]6 y# n: W Z9 c! e/ d( M9 pSign function, 正负号函数3 t' }/ [# v1 B' b
Sign test, 符号检验
! ^7 b. O$ V/ U3 c) NSigned rank, 符号秩9 s1 D- T j7 c+ ~! _
Significance test, 显著性检验
( `6 C& m9 r7 j( M% w) e+ T7 `Significant figure, 有效数字' _8 [+ E- N% e H
Simple cluster sampling, 简单整群抽样
: I+ _8 c5 Z0 U1 E; Q& O; l; l7 @Simple correlation, 简单相关
8 Q7 R* N/ P) oSimple random sampling, 简单随机抽样
) {( q% `6 P8 e: i# G# KSimple regression, 简单回归: p2 J8 c1 e3 M& I* V$ r
simple table, 简单表
5 {0 l: B! X+ W x( R% \Sine estimator, 正弦估计量
) a, n( R6 w) _4 ^Single-valued estimate, 单值估计
) V+ @) Z K* {9 \. \* hSingular matrix, 奇异矩阵
4 Y+ b0 \0 y! O1 RSkewed distribution, 偏斜分布
q4 e5 T& c/ o' E; \Skewness, 偏度4 ]- H: V, ~4 ?6 E9 U+ T- q" s) b2 S
Slash distribution, 斜线分布
E) U- ]9 Q; M |3 RSlope, 斜率0 k6 v; W+ j% h" y" o2 g
Smirnov test, 斯米尔诺夫检验4 a* q* R! {* |2 _
Source of variation, 变异来源
, b3 A j* K1 O+ M/ y1 ESpearman rank correlation, 斯皮尔曼等级相关
7 C( p! Y. u) S7 X" KSpecific factor, 特殊因子
+ R! _" p- N4 |+ S6 |Specific factor variance, 特殊因子方差5 e& b9 R3 o' s
Spectra , 频谱/ _. t; n Y3 K9 }7 G" I
Spherical distribution, 球型正态分布
+ \3 q* K$ }. RSpread, 展布6 d3 G: u% y f0 i
SPSS(Statistical package for the social science), SPSS统计软件包: o8 L5 c: j$ B/ Y
Spurious correlation, 假性相关, }( T) U+ w/ T' G3 A- Q4 q
Square root transformation, 平方根变换" H0 a+ p- Z9 e0 L; x
Stabilizing variance, 稳定方差4 V% j" Y2 _0 U, D4 J7 ?6 R) [
Standard deviation, 标准差
/ T& H/ Y; _/ o% x% H- TStandard error, 标准误
: |! j& R/ p, S9 d/ k* q/ E! EStandard error of difference, 差别的标准误( R X2 {4 [: a7 r( P; e
Standard error of estimate, 标准估计误差
+ d) j$ V4 S8 eStandard error of rate, 率的标准误
- \! P. @1 w2 l% e9 O4 ZStandard normal distribution, 标准正态分布
* S7 i* z" }8 O0 eStandardization, 标准化
4 Z9 y1 i( I0 u( IStarting value, 起始值. e6 S" C" `3 o( u! O, k$ _
Statistic, 统计量/ W6 h/ U3 ]- R8 V3 d' S" ?+ c
Statistical control, 统计控制
+ |1 v. Y- Q8 s: G2 H# v7 M1 D* B; JStatistical graph, 统计图+ m4 P$ C+ ^1 T+ T' {, c* H7 H
Statistical inference, 统计推断( I( n4 Q$ |7 {' p R
Statistical table, 统计表# {4 m% q& f( W8 o
Steepest descent, 最速下降法
1 z& ~$ J0 h) }) ]- S) BStem and leaf display, 茎叶图
! Y; Y3 W" W. {7 Y* H: x/ }Step factor, 步长因子
8 _1 d7 B) y( l* `- `2 V2 VStepwise regression, 逐步回归
1 W2 d$ U/ D% N* DStorage, 存2 H E4 n5 \; u" K4 {
Strata, 层(复数) g2 V" h6 p9 K4 R( c# U
Stratified sampling, 分层抽样) G. E+ Z# v S7 e5 |
Stratified sampling, 分层抽样
8 Z, S9 ? j$ K; ]" E( _Strength, 强度
: [# v3 Y( Y* O9 N. T) {! r7 LStringency, 严密性
/ h: [ Q4 T: r' BStructural relationship, 结构关系; j+ g0 P2 E/ Y' m. j4 l8 y0 Y
Studentized residual, 学生化残差/t化残差# O# e$ ]# w6 O
Sub-class numbers, 次级组含量
; r/ l, v0 L5 c4 C- V. P; TSubdividing, 分割
) A& b* n/ V5 z9 l& d! ]Sufficient statistic, 充分统计量
0 W; {) I- k0 S) W q1 BSum of products, 积和
9 X2 m+ ~% Q1 s) K! _Sum of squares, 离差平方和
& f/ R, }! h5 C7 f @Sum of squares about regression, 回归平方和
7 N- {- U/ n$ G" E/ J; p* x9 I) _Sum of squares between groups, 组间平方和5 B/ S7 w7 ~) N. \6 s0 Y! f. F% d
Sum of squares of partial regression, 偏回归平方和
8 N4 h& r# C0 f7 V k1 v* t) p+ DSure event, 必然事件# B3 Z! k1 i) o! I; Z& H) n6 V* N
Survey, 调查% ^ e' t& ?9 o
Survival, 生存分析% {' N' H$ R+ \/ S0 [: a
Survival rate, 生存率% s8 ?% B$ g) J
Suspended root gram, 悬吊根图
Q: b+ s# c& s7 p1 S& ]Symmetry, 对称
% L$ }& e/ c; ~4 s, W0 PSystematic error, 系统误差0 C3 z) b" c2 l4 [
Systematic sampling, 系统抽样2 {: Q9 i6 J8 F% Z3 T8 X# ]0 R
Tags, 标签9 f8 w) z8 I5 L+ ~& d9 F
Tail area, 尾部面积# L G5 C9 b" v% d# n
Tail length, 尾长- y0 C: S: P, y7 e6 h
Tail weight, 尾重) T5 {7 ?+ `( y. r2 e
Tangent line, 切线
, S; @3 M* C5 b6 ATarget distribution, 目标分布
# C* u0 @8 V9 |9 X1 e' ^Taylor series, 泰勒级数
0 N9 d9 T, n1 ?Tendency of dispersion, 离散趋势
9 P, e5 p2 b- K+ s/ |* {Testing of hypotheses, 假设检验
$ a* B; J" v) v4 Q2 ATheoretical frequency, 理论频数
7 Y2 s9 h$ I8 z: f/ H4 JTime series, 时间序列
8 T' D5 t% L3 H4 v, a gTolerance interval, 容忍区间' R2 F# |# X; v9 S
Tolerance lower limit, 容忍下限
$ n* ^5 n( }: [% g9 eTolerance upper limit, 容忍上限; D9 Z# N( Q7 u* D6 w" p- m
Torsion, 扰率
' o: G5 G% W% `" C( }Total sum of square, 总平方和4 n- x. X: m/ V4 X" h- H
Total variation, 总变异
! K/ p& x) B7 m" T: Z. r W( ]4 b( gTransformation, 转换3 b# _* U, Z' B$ ]! O+ b" r7 P+ W
Treatment, 处理) u; M* J- @/ }+ U, Z6 g: \
Trend, 趋势 B# h/ c7 P: R& I/ r3 g
Trend of percentage, 百分比趋势0 i+ D3 f* m6 v
Trial, 试验4 A( q% ?" ~7 R- E2 @
Trial and error method, 试错法7 D, {5 H- \" v" u; g, T
Tuning constant, 细调常数
8 N8 q; C. O x, X2 `" cTwo sided test, 双向检验
6 U2 v7 J) Y" s: ?' nTwo-stage least squares, 二阶最小平方
& ~3 c. C; l1 t0 d% VTwo-stage sampling, 二阶段抽样
9 I* E2 C! M! Q6 t- F! MTwo-tailed test, 双侧检验+ S5 T: A( E% L. n* c. c+ L
Two-way analysis of variance, 双因素方差分析0 C$ I7 ^& ?+ q9 j+ M% V* r, F
Two-way table, 双向表
9 G |; e8 l. s9 SType I error, 一类错误/α错误9 K4 K) N2 v7 K. B! K+ F
Type II error, 二类错误/β错误2 G, V9 W8 C. u3 ]
UMVU, 方差一致最小无偏估计简称# Q0 u+ x" w9 i7 P% {1 S$ e+ y
Unbiased estimate, 无偏估计
3 s* U9 F2 @; GUnconstrained nonlinear regression , 无约束非线性回归
( Q% N( v' r V! O$ \Unequal subclass number, 不等次级组含量. i; w% w8 A+ }( _
Ungrouped data, 不分组资料
+ \& `- x0 w+ MUniform coordinate, 均匀坐标
* d" _8 c7 j( k8 P# |/ b% hUniform distribution, 均匀分布
6 j0 t8 _& f8 q$ w; H7 d: ]Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计! b8 S) Y& b: q3 n+ m5 e' g
Unit, 单元: Y" G0 v. _* ~
Unordered categories, 无序分类, h5 n3 }8 G; H/ }
Upper limit, 上限
) u/ n3 X7 w2 SUpward rank, 升秩 r1 o7 K$ T; T j# Z
Vague concept, 模糊概念5 j6 C/ D3 e1 |. x/ B
Validity, 有效性
2 G z5 K4 N7 N5 r- aVARCOMP (Variance component estimation), 方差元素估计 y+ C6 w. _$ [1 a0 u- c5 {5 }
Variability, 变异性
b' Y$ i$ C7 c7 G4 IVariable, 变量4 l! v/ x1 Z F- ]( m: o
Variance, 方差" U9 _ v, N# c A6 D2 p
Variation, 变异
4 E5 P& C4 k) n @2 H' w. }" LVarimax orthogonal rotation, 方差最大正交旋转 _; L8 K$ L' z& Q% d3 M$ G
Volume of distribution, 容积; |( Z# O8 l3 b& U5 g/ w
W test, W检验
# b1 i1 f$ D6 `# \( L& u- M+ fWeibull distribution, 威布尔分布
4 z, s; X- f7 d$ h @9 O( ? B. lWeight, 权数
% S; i! u6 p. j' @Weighted Chi-square test, 加权卡方检验/Cochran检验0 R. {3 q9 X. c$ l4 s
Weighted linear regression method, 加权直线回归
- o, k5 E. a" |Weighted mean, 加权平均数" [; Q2 u. v: H4 Q
Weighted mean square, 加权平均方差
. W$ O6 M/ T# A/ pWeighted sum of square, 加权平方和
7 j& q: B7 F3 }. \Weighting coefficient, 权重系数1 X, Q* c4 d/ g1 \
Weighting method, 加权法
( r& Y' g* A9 Q/ q' U }; HW-estimation, W估计量; }: I. p, y2 t) R) f2 ^& X. G
W-estimation of location, 位置W估计量
% w& e2 [/ E4 r, l% N) X* WWidth, 宽度6 m' C* S+ k/ `2 v' a+ I9 |
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
6 x# T4 `: t! `; p5 b. [0 yWild point, 野点/狂点
$ K! k0 W# h4 S- p" i9 xWild value, 野值/狂值
# q* u% p3 h7 Y& e- OWinsorized mean, 缩尾均值
0 h6 A! _3 t# a9 FWithdraw, 失访 4 Q/ y3 l! i$ d, {( t2 v5 U
Youden's index, 尤登指数
4 a5 q! D( f$ MZ test, Z检验3 q& q% k8 Y3 i6 K0 G
Zero correlation, 零相关$ G O/ a7 W- @! A7 r7 M, S: C5 j
Z-transformation, Z变换 |
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