|
|
Absolute deviation, 绝对离差
?* ^/ A# F2 ?* B: }+ P% BAbsolute number, 绝对数
/ U: b) R9 l& c1 {Absolute residuals, 绝对残差
+ b% [ X$ t( jAcceleration array, 加速度立体阵
0 z% _1 l! y& hAcceleration in an arbitrary direction, 任意方向上的加速度+ i! w' d; @4 b; I
Acceleration normal, 法向加速度
) R+ ? x2 J4 a, D/ x P2 oAcceleration space dimension, 加速度空间的维数
0 R: O% F6 ], @3 j3 nAcceleration tangential, 切向加速度! P2 Q! V) g' X8 F* K( V: n) u4 C
Acceleration vector, 加速度向量0 y; M Q3 u) U1 L, n( ^% g
Acceptable hypothesis, 可接受假设/ W( @4 W& X/ u* C& X
Accumulation, 累积
) f: H5 N, M+ r3 f% fAccuracy, 准确度" S3 |& {1 [* S$ d7 p
Actual frequency, 实际频数
, \1 r2 {. h! `9 a& N# u# B" z! ?: EAdaptive estimator, 自适应估计量9 b7 C' U: }0 r3 ?
Addition, 相加
* M0 Q9 H. W3 ^( F& P6 OAddition theorem, 加法定理3 a& O) y l6 I4 s1 Y
Additivity, 可加性
/ Q L$ |! A3 F9 A/ q1 _Adjusted rate, 调整率$ g0 T' |; K; D, N X
Adjusted value, 校正值2 ^1 x# T2 P; ^2 }( ~5 W- p+ u& S
Admissible error, 容许误差# Z' j& @0 `( |- T$ @& V
Aggregation, 聚集性
% t( T# K. w" C oAlternative hypothesis, 备择假设
0 Z# b7 `1 ~& E/ O% F, ?Among groups, 组间
9 o" L9 C0 e% P' u+ `9 w+ |Amounts, 总量. ~$ i! Y! z! q( \. W
Analysis of correlation, 相关分析5 a+ ]1 t2 ]+ L9 p: Q
Analysis of covariance, 协方差分析
; m' j( k% }! h! s1 gAnalysis of regression, 回归分析
7 r! |7 C$ I: t/ d$ O# hAnalysis of time series, 时间序列分析
8 T/ O. z7 A1 [* v$ YAnalysis of variance, 方差分析: y; z B& B% T0 q2 z9 l. }
Angular transformation, 角转换
% E" S \* q7 |2 G5 qANOVA （analysis of variance）, 方差分析1 l2 I' `, e* g0 {1 d) O; n
ANOVA Models, 方差分析模型
- D4 ^$ V4 N0 w/ P6 [4 O; Y3 q) kArcing, 弧/弧旋
/ ?& p1 w. J* C7 CArcsine transformation, 反正弦变换& z1 e; f& o( b% F
Area under the curve, 曲线面积" |2 U' m- Z9 y
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
# N/ I* L1 H+ G6 Y3 I7 I# o* q sARIMA, 季节和非季节性单变量模型的极大似然估计 0 Y8 O) A9 C% }
Arithmetic grid paper, 算术格纸" {. ~5 W. E6 s; I" d& R* }
Arithmetic mean, 算术平均数
$ r6 t# Q+ X/ K+ oArrhenius relation, 艾恩尼斯关系
( |: s. D' q1 ^ c5 G( h; eAssessing fit, 拟合的评估" T9 X' F" Q" w% ]! Z
Associative laws, 结合律7 J; [# |1 `# l+ _3 f1 u: [# P% r
Asymmetric distribution, 非对称分布
/ Z1 S) }2 }/ }2 \& bAsymptotic bias, 渐近偏倚
( e8 \+ `' a5 y) Z" [* ?9 H, ]Asymptotic efficiency, 渐近效率0 ~& a% H0 y4 I# S) P) ^
Asymptotic variance, 渐近方差3 K& b9 i; }0 E* h4 q
Attributable risk, 归因危险度
( ]0 C$ \2 ~( R) H' ~7 s6 MAttribute data, 属性资料
* k7 G; v( ^5 A) }1 C' \Attribution, 属性4 B& D& f6 w8 B# G, y: n
Autocorrelation, 自相关# V' D# i* _8 ~! m! C
Autocorrelation of residuals, 残差的自相关
, ~! O8 [0 e L" o4 A( M2 o$ I6 }Average, 平均数
# f8 v$ S9 R0 o2 X3 s/ g1 Z! qAverage confidence interval length, 平均置信区间长度
2 v7 n: V4 C( N. b' Y( T: P" }Average growth rate, 平均增长率& z2 {5 F1 N1 B* B
Bar chart, 条形图
6 Y! A9 E7 P8 H0 M4 v. f7 P8 G9 zBar graph, 条形图: ]5 y( l1 {" T! y6 I& x5 K7 [5 Y$ q" e9 S
Base period, 基期
' ^( k& {, I2 _0 Z7 sBayes' theorem , Bayes定理
& }& E. R$ M4 r* l1 vBell-shaped curve, 钟形曲线$ Q, P# t6 ^9 Y! o+ }1 O
Bernoulli distribution, 伯努力分布
" n3 P) h: }) d! W2 fBest-trim estimator, 最好切尾估计量
/ V8 S) _7 s0 m7 [$ O& O( WBias, 偏性
' L5 {4 v5 X1 f+ x( C! @* L% VBinary logistic regression, 二元逻辑斯蒂回归
M6 @: N- @1 O0 Z& y2 aBinomial distribution, 二项分布
. E& W0 h) ~, f4 lBisquare, 双平方% M$ q' W$ e4 L. x5 ~" H
Bivariate Correlate, 二变量相关' z2 C3 g8 ]0 C. k: ^$ b+ K
Bivariate normal distribution, 双变量正态分布
8 C, m5 `8 e' H! ~. Z6 zBivariate normal population, 双变量正态总体2 j, A, B7 I) S, `
Biweight interval, 双权区间; P) w' Y$ d+ a) b
Biweight M-estimator, 双权M估计量8 C. R. w8 d6 q: d
Block, 区组/配伍组
+ {. U: P, f: ~8 Z& `( |BMDP(Biomedical computer programs), BMDP统计软件包; t3 j) f0 e7 ^* V- b' K
Boxplots, 箱线图/箱尾图; U: M3 B4 D( A# b* y- y6 a
Breakdown bound, 崩溃界/崩溃点" M+ O: w/ k& h5 F+ R
Canonical correlation, 典型相关
/ R9 d7 {2 _1 s2 y4 y6 ?Caption, 纵标目" F1 u6 N4 u E$ A
Case-control study, 病例对照研究
+ v- G/ @& j" x5 E, i8 v! P+ JCategorical variable, 分类变量# o/ n( ?# x$ G& p( N+ g+ e% n
Catenary, 悬链线
* Q+ c5 y+ ]+ f0 e- CCauchy distribution, 柯西分布0 K: T( {" Y" Y! [' D3 Z
Cause-and-effect relationship, 因果关系
; e1 T# M$ T2 p, Y3 L# ?Cell, 单元 D/ _4 u( n7 i& v
Censoring, 终检
- ?! }6 e6 m" x. Q: w, y' X4 DCenter of symmetry, 对称中心2 l) [/ F9 T8 m- E) m
Centering and scaling, 中心化和定标
1 G* p- U& I' D8 sCentral tendency, 集中趋势6 d& i0 k J: f6 K/ w( i
Central value, 中心值( e3 `3 I3 S a( k$ r* t
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测+ x- [$ W# u" @5 D6 E
Chance, 机遇
9 C+ A% x1 Z& N3 s6 EChance error, 随机误差3 ?: j& Z* u7 }" v; D* a+ L
Chance variable, 随机变量
: L. i) d5 `& C# kCharacteristic equation, 特征方程
$ i( J. R2 _/ s8 B! ECharacteristic root, 特征根
% N6 d8 Z3 [( ~- r, A/ k" XCharacteristic vector, 特征向量
2 ^/ b, f" n1 a9 b9 rChebshev criterion of fit, 拟合的切比雪夫准则) n; u. S: G K9 N4 E
Chernoff faces, 切尔诺夫脸谱图
$ k$ P6 |0 _- }! u$ CChi-square test, 卡方检验/χ2检验4 M# b1 Z# ?- V4 z' M4 ^
Choleskey decomposition, 乔洛斯基分解+ U2 m. [& _, p
Circle chart, 圆图 5 j8 J$ C3 g4 T- B. ?/ ^* K0 L0 z
Class interval, 组距6 f( V4 d3 {( T* ^/ X
Class mid-value, 组中值$ n! j# n( w, ]" h8 O, f/ L1 o
Class upper limit, 组上限" Y Y. X# f- p q
Classified variable, 分类变量
: E, \9 C. X0 J* q! w. s: j8 UCluster analysis, 聚类分析' t* r7 V# k7 q2 |" N w
Cluster sampling, 整群抽样
$ `' X8 }" L0 _$ p2 o: s* QCode, 代码' [) V# n9 f+ j" k/ J8 _
Coded data, 编码数据
/ c$ E% W# @/ |Coding, 编码
- e# S) k+ M* qCoefficient of contingency, 列联系数
) |5 z' R9 k* M5 a6 DCoefficient of determination, 决定系数+ {# I3 J4 g+ ~ F" L W% Y3 P0 x
Coefficient of multiple correlation, 多重相关系数) R/ H2 i, l6 Q: Q# [$ [* r
Coefficient of partial correlation, 偏相关系数7 ]) {* D6 y6 ]9 w d$ u$ {4 `
Coefficient of production-moment correlation, 积差相关系数
- }& l5 S& X$ d' r% a6 S, ~Coefficient of rank correlation, 等级相关系数
1 X; m8 I- Q r3 s( o' V* rCoefficient of regression, 回归系数! m2 c1 ~ T, `# o8 W, F
Coefficient of skewness, 偏度系数0 `4 u, m( Z d) D: t3 I% Q% U
Coefficient of variation, 变异系数
3 G1 \ {( f6 \1 D6 q4 mCohort study, 队列研究5 a% c- N) q# j9 X( x
Column, 列/ P1 i" W8 n8 i& O! Z: M7 @
Column effect, 列效应
. @ u& N" |% |5 oColumn factor, 列因素4 j3 N: q" u% s, d4 g) |% U
Combination pool, 合并
/ h1 o- u- d0 C+ ]# H$ m' p( j+ d& NCombinative table, 组合表
5 b1 Z1 w4 W- M4 c3 O, mCommon factor, 共性因子' U9 Y/ z9 s0 V! a+ d/ L" w- m% r+ z
Common regression coefficient, 公共回归系数+ I/ o, }8 `3 |6 m
Common value, 共同值. [" A, z- n8 B. `' ]
Common variance, 公共方差
4 m1 `' P5 l/ W$ _6 |: vCommon variation, 公共变异
- A: P! u, i& KCommunality variance, 共性方差! B* D* K' b, d
Comparability, 可比性/ r8 e2 [' u0 n( o4 b0 Q3 |6 y
Comparison of bathes, 批比较, S: \ c* u% m$ M" N6 y0 [
Comparison value, 比较值( s2 s5 `# Y# n$ U5 R. M0 j- M8 {
Compartment model, 分部模型+ B4 F2 V: S3 } I2 O( r* {
Compassion, 伸缩
2 w6 P7 V$ P. C9 a3 {Complement of an event, 补事件) R( L8 O9 c M5 { W
Complete association, 完全正相关
2 C9 p a, {7 M1 t( M" z% yComplete dissociation, 完全不相关4 x7 b0 u% H0 }# B6 j! [6 H
Complete statistics, 完备统计量( V: x4 l; j2 G- n: Q' U
Completely randomized design, 完全随机化设计9 V$ \/ _( |. H# Y# [
Composite event, 联合事件% D4 r9 ~5 R1 K1 p
Composite events, 复合事件/ Z" y+ s4 J5 O7 y% q
Concavity, 凹性( ^% i. t4 [7 h* S" X- E) Z8 D
Conditional expectation, 条件期望
% b4 C/ `5 F1 V& x# p wConditional likelihood, 条件似然
! g. G% m9 ]6 h2 n6 UConditional probability, 条件概率2 r' K7 C" N; w- D* D, s
Conditionally linear, 依条件线性
) |0 Y( |, b5 qConfidence interval, 置信区间- G/ R: p/ b& O
Confidence limit, 置信限3 @' ?8 h/ Q0 q- W i
Confidence lower limit, 置信下限, K& ^$ K3 n) {/ \
Confidence upper limit, 置信上限( o% b3 T# B5 b- M
Confirmatory Factor Analysis , 验证性因子分析
. c7 C O; p) a5 t4 ^+ v/ u& zConfirmatory research, 证实性实验研究& d. y/ o3 q' W) p
Confounding factor, 混杂因素
4 {1 Y" c' _9 R* U- d2 {( @Conjoint, 联合分析# }$ z% c# e% [$ |
Consistency, 相合性% C* X( e: T2 b1 g$ O% o3 Y
Consistency check, 一致性检验
" _( W4 T3 Y# i5 gConsistent asymptotically normal estimate, 相合渐近正态估计
/ e. h! o; v* d/ o* u; N JConsistent estimate, 相合估计* v# T0 J- u) U; g2 W
Constrained nonlinear regression, 受约束非线性回归: b; r) @) p5 A! h2 s. T+ Z
Constraint, 约束
. a" O4 p; j8 s1 p8 HContaminated distribution, 污染分布
8 q5 M# H$ o; h# u B; J3 NContaminated Gausssian, 污染高斯分布
3 h: ~9 x* a" U8 n7 `2 X+ v4 wContaminated normal distribution, 污染正态分布
" Z# B, O. k& `0 u3 E0 GContamination, 污染) B& |0 y8 s: R1 E' m( f1 r* a0 d
Contamination model, 污染模型
& d# v" L1 q6 xContingency table, 列联表+ |' _9 H8 ]% j9 c
Contour, 边界线% C, }' I: q- U4 R8 n3 g
Contribution rate, 贡献率) | J. S) {& X' [& p, I7 K
Control, 对照
! ]! p9 f3 ~' Y+ c+ gControlled experiments, 对照实验
! W8 D& X# ]. l: ?9 iConventional depth, 常规深度
9 J. Z2 n# m/ o0 |! DConvolution, 卷积1 b) Y- @9 ?4 R5 }
Corrected factor, 校正因子
; G* g/ K- g! y' m) \% g2 rCorrected mean, 校正均值, i6 G' W g* G4 U( S
Correction coefficient, 校正系数- ~3 S( e9 ~( z% I9 w1 ?
Correctness, 正确性+ e/ b: e/ I- v; {+ h0 o! z( V
Correlation coefficient, 相关系数4 o( b# n/ P/ [" @; {! v$ d
Correlation index, 相关指数. \" v3 u! c$ o) Z& u
Correspondence, 对应
! K$ h/ B: L' T5 [. FCounting, 计数; R& I; N- Q4 t7 a2 U6 i
Counts, 计数/频数9 Y: R! F$ U* Y
Covariance, 协方差4 o: N* S' Q0 S% e! H/ E8 n4 k
Covariant, 共变 / ~4 c* u; R" U: N
Cox Regression, Cox回归# r0 _: v; }, {
Criteria for fitting, 拟合准则! T+ Z$ ?. L2 K# o' n
Criteria of least squares, 最小二乘准则* [0 V8 w, O' ~! ]% }* \5 @$ c8 w
Critical ratio, 临界比
8 T0 l( S% w$ }, g% c! S+ e$ ACritical region, 拒绝域+ e$ Y' l3 y5 E6 R0 K+ z7 f% A
Critical value, 临界值
% k, j \5 W4 S) H& jCross-over design, 交叉设计
* X: w0 T$ T, P0 k8 e, I9 l2 f1 tCross-section analysis, 横断面分析
5 p/ a' b4 L( r2 A' jCross-section survey, 横断面调查, p! p4 R; ~& y/ K( B/ v
Crosstabs , 交叉表 7 M$ ]) D6 }: y6 b
Cross-tabulation table, 复合表
. |% D) _7 T6 qCube root, 立方根+ A: ?2 w* S' q4 E! `
Cumulative distribution function, 分布函数
+ |3 ^( A. ?+ H/ p: W& X# m% [# oCumulative probability, 累计概率
5 N# A5 |" }$ eCurvature, 曲率/弯曲
3 \+ E ` l2 [1 O( f' o( Y- rCurvature, 曲率: p2 E! n/ B6 C' b. s
Curve fit , 曲线拟和
$ U. A2 N+ O' s7 G2 w; x7 R# v% ICurve fitting, 曲线拟合
) x K6 H' k- k! S/ {. r7 |" G* }Curvilinear regression, 曲线回归
( B1 ]0 u2 {( y& o7 ^. _: K5 [Curvilinear relation, 曲线关系4 ^# r0 T( v7 B8 ?! N
Cut-and-try method, 尝试法. V4 l! G8 I) n. G
Cycle, 周期
5 x! y) Y3 A6 y% z8 BCyclist, 周期性
6 A7 M! X, p/ S) m; jD test, D检验
4 v% e/ O/ f/ Z7 v: y: ]Data acquisition, 资料收集! O) e4 n& _9 d! K* y
Data bank, 数据库
# x1 F8 A& U I4 [# X. UData capacity, 数据容量4 M$ Z. h, w, z* a) ^! Y6 A! V
Data deficiencies, 数据缺乏
% y2 c) c. n8 D q" lData handling, 数据处理
) n( r* p( N, q/ ?" C) UData manipulation, 数据处理
* {" Y1 h J- c" {8 s! P+ [Data processing, 数据处理
* ]6 G/ Q# D4 S j7 p& kData reduction, 数据缩减, p1 o) C# P f( [5 s+ n6 l
Data set, 数据集
. e, I) a* \) W9 z8 \ x, fData sources, 数据来源& n0 E; b7 ^- e3 Z( M3 G
Data transformation, 数据变换- i$ [2 c0 \( o/ Z, Q+ i
Data validity, 数据有效性
# N& c& {" r1 q( w3 z2 F SData-in, 数据输入) Q4 X9 d8 z4 a
Data-out, 数据输出
" s5 l; K/ O+ r; d/ Y& WDead time, 停滞期, { P5 Y% N' r1 w9 A3 ]* `
Degree of freedom, 自由度
! @1 Z) ~/ n& GDegree of precision, 精密度 ]: l7 r' l& K* s# T A
Degree of reliability, 可靠性程度
5 b1 v/ ?' ~, x+ z; J% o H5 ?Degression, 递减( R- X2 T- O @+ I5 c
Density function, 密度函数
# Q- L/ F) ~7 {7 I( |: JDensity of data points, 数据点的密度
) R! r; H7 l4 A) ZDependent variable, 应变量/依变量/因变量. @6 l$ b1 u3 h6 k b! w
Dependent variable, 因变量. @( `! {0 s# {$ L& a- a1 c
Depth, 深度 K' W; ?2 ~8 m
Derivative matrix, 导数矩阵1 ]9 ^% H- l: |7 H# m P* S
Derivative-free methods, 无导数方法
& \8 Q; \' E# |2 mDesign, 设计
1 e0 R1 r6 L2 w U( }2 P, CDeterminacy, 确定性* \; P( P, P- i* }6 d2 C
Determinant, 行列式8 M7 G- g) z( N) R. h4 ?) S
Determinant, 决定因素/ n6 ~) g* A5 J' _ R
Deviation, 离差
' h% i+ u6 P$ e9 @4 C4 u! h: UDeviation from average, 离均差2 q6 P" m* \4 A, P: [* Z
Diagnostic plot, 诊断图# x3 k; |5 H0 K; j! Q0 Z7 l
Dichotomous variable, 二分变量
3 t8 g, U, F4 W$ ^& c" W& u5 JDifferential equation, 微分方程
; Y/ y8 l% j4 aDirect standardization, 直接标准化法6 S3 ^5 z1 j3 }0 K% g* s2 S1 x
Discrete variable, 离散型变量
/ K t+ R }5 z' y- M' bDISCRIMINANT, 判断
7 Q* I! E! G2 c6 pDiscriminant analysis, 判别分析3 X( o( z: M" V
Discriminant coefficient, 判别系数* F1 U* a1 ^ X; @6 Y% X
Discriminant function, 判别值: d- ~+ x8 H- [2 t
Dispersion, 散布/分散度6 Z# o, _" I1 R3 y a5 K
Disproportional, 不成比例的# a6 j: O" V8 T& E8 O7 `
Disproportionate sub-class numbers, 不成比例次级组含量
, \3 ?5 A* q$ ]; B/ FDistribution free, 分布无关性/免分布: a! H* e4 c' t% g9 J6 q9 y* d/ W1 l
Distribution shape, 分布形状- O7 @+ O- B" e, J+ ?) i" x% v
Distribution-free method, 任意分布法" j5 P; `# s$ p
Distributive laws, 分配律! a1 q+ _- s# L, X
Disturbance, 随机扰动项' v4 @4 X0 Q! a) T; }
Dose response curve, 剂量反应曲线4 r1 h9 p/ P" v1 B# v9 j9 H
Double blind method, 双盲法) v; X0 n9 k6 s" w {; e
Double blind trial, 双盲试验! q$ j3 O7 m% d
Double exponential distribution, 双指数分布
# m* J. }9 Y4 EDouble logarithmic, 双对数
" a3 H! a% @7 y, q9 u, `Downward rank, 降秩3 t0 ^# r e" \! ?
Dual-space plot, 对偶空间图
8 w' j. Z0 h% A: }0 [* \! p1 u. CDUD, 无导数方法4 z0 Y( M/ c; _( {% }
Duncan's new multiple range method, 新复极差法/Duncan新法0 b7 P: N$ x- A6 Q. Y
Effect, 实验效应& k: h f2 N% G+ P2 \
Eigenvalue, 特征值, y4 m# u H" J* F+ C
Eigenvector, 特征向量
8 O6 D' W" i* d% |9 xEllipse, 椭圆
( X5 w& e' U' wEmpirical distribution, 经验分布5 i; p8 k: M- S' s: s
Empirical probability, 经验概率单位
* D. U2 y- [/ F/ kEnumeration data, 计数资料 t+ Z1 h( s' l$ \2 ~2 y
Equal sun-class number, 相等次级组含量4 B* s5 q! @) j/ b& l4 v& f; X
Equally likely, 等可能
9 l: y; L6 C$ @5 Y" ]Equivariance, 同变性- O# o" q }3 g
Error, 误差/错误
5 \3 U" l4 j/ @0 `$ tError of estimate, 估计误差
7 [8 D1 a# z; s8 d' W7 ^Error type I, 第一类错误 z" ^& [' `1 ^$ W n
Error type II, 第二类错误
4 h ~3 q& {' kEstimand, 被估量+ U, g% G; V1 ]8 i4 p" a4 G
Estimated error mean squares, 估计误差均方 _7 s- c* k4 ]% D
Estimated error sum of squares, 估计误差平方和' O8 u r$ B; G7 f
Euclidean distance, 欧式距离' G8 a, o3 A% A7 X
Event, 事件
/ b1 ?' m2 k$ lEvent, 事件
6 N. w& b1 r7 `, H/ _. A# NExceptional data point, 异常数据点
, [9 j! v6 W) ^% d1 V+ u2 Y tExpectation plane, 期望平面
0 ~) \# G# z7 t TExpectation surface, 期望曲面
# a1 G1 X1 A1 F: b1 O4 N$ zExpected values, 期望值
5 d2 y- u0 B; R0 C0 C4 l* }- t- \Experiment, 实验
# B! |8 G7 i7 N' S, b1 W" NExperimental sampling, 试验抽样
9 L( \+ A$ l8 r N$ j. QExperimental unit, 试验单位0 h4 R& B3 H( e# [ T" ]5 U G
Explanatory variable, 说明变量1 W& T# N# R! j% a7 ~0 o9 K0 k
Exploratory data analysis, 探索性数据分析. M) c7 Q9 `9 Y, T/ k
Explore Summarize, 探索-摘要
/ O$ Z" ]6 I# u& x% eExponential curve, 指数曲线
7 C/ H; ^7 H* s3 IExponential growth, 指数式增长
, ^7 n" @0 |4 [EXSMOOTH, 指数平滑方法 $ B2 F6 r/ q# R9 d+ X- y) v+ n9 r
Extended fit, 扩充拟合) H: u4 Z; \+ V6 q1 a/ d
Extra parameter, 附加参数; u/ f b# g2 b6 D+ S" B( \+ S
Extrapolation, 外推法3 x: K" `7 z( Q0 V: a7 f1 [
Extreme observation, 末端观测值/ M. @) x$ N6 Z/ K* n( g w
Extremes, 极端值/极值
6 [+ a$ |) v5 UF distribution, F分布1 j- O* A" n* C. h2 A
F test, F检验6 y+ }0 ?0 m5 ~! p, w) F/ Q+ o
Factor, 因素/因子6 ^# m5 d* p# T2 u1 o0 I
Factor analysis, 因子分析# ~/ B6 J5 ?; N# r$ C* Y" `" {% c
Factor Analysis, 因子分析
. @% `$ M, \/ I; M; _% Y( MFactor score, 因子得分
% @$ W# F. M: K0 W. p3 t9 EFactorial, 阶乘2 S# `* K* u. `5 }! @' A) u5 G: }
Factorial design, 析因试验设计
8 w" o9 T) I) u8 a9 _1 ]# H1 f' lFalse negative, 假阴性! c" q& s: ?0 d. ]9 j J
False negative error, 假阴性错误
+ F* G# V3 f `2 p, F. _ ` a" FFamily of distributions, 分布族
5 l$ F2 ^+ Q s) R( fFamily of estimators, 估计量族" p* T/ S" F H! w
Fanning, 扇面
& U8 v. \& A T$ UFatality rate, 病死率5 h1 c5 P: x1 _# R2 m& i! x' ]
Field investigation, 现场调查
4 I' a! Q) @% I( g) h/ fField survey, 现场调查( o6 V5 H: ~. G7 j
Finite population, 有限总体
; ]; N* c( R* G# ^6 E4 IFinite-sample, 有限样本: D) i- [: M8 l
First derivative, 一阶导数
; c( S; A2 r9 `& Y8 vFirst principal component, 第一主成分5 S. l) g9 l) J# z* w
First quartile, 第一四分位数* \/ j5 I& Z: b) S) _
Fisher information, 费雪信息量
( [5 T# l% L. VFitted value, 拟合值
* ~% B, b" l8 s: v& RFitting a curve, 曲线拟合; c: X) d6 \ z7 m) {
Fixed base, 定基0 o% q5 M9 n0 x$ _+ @; k5 ~% {9 M
Fluctuation, 随机起伏
3 }# P/ U* D i: yForecast, 预测- t z2 L5 w- a# |. A4 O* x
Four fold table, 四格表' i) q9 k- k; Z3 ^
Fourth, 四分点
# R8 F# \0 D9 z! u' LFraction blow, 左侧比率
. r3 T0 ?- S) D7 R% JFractional error, 相对误差$ n* A H5 B% G# s0 u
Frequency, 频率
, R& D- L1 r% K8 ? ?: Z4 ~& ZFrequency polygon, 频数多边图( N3 Y% d3 d6 v
Frontier point, 界限点7 i! G1 T8 ]6 K' @+ E% ]; s. g
Function relationship, 泛函关系$ E/ n4 d2 Y3 N4 {
Gamma distribution, 伽玛分布
8 E1 r. D3 i, {Gauss increment, 高斯增量
% Y; Q& ~7 k5 ]" y# EGaussian distribution, 高斯分布/正态分布$ M5 L( p$ I4 T4 @$ Y$ N
Gauss-Newton increment, 高斯-牛顿增量- ?% s% ]. P% _, f( Z
General census, 全面普查8 |# @% G+ f- u. J8 D
GENLOG (Generalized liner models), 广义线性模型
% l3 R7 n2 V- x: RGeometric mean, 几何平均数; f/ [/ w0 p8 ~; r* L3 z
Gini's mean difference, 基尼均差- ]( ~0 p% O: u0 t6 W/ R# z
GLM (General liner models), 一般线性模型 % m8 T4 Z# c6 Q! c
Goodness of fit, 拟和优度/配合度
$ Q& `3 U1 ~" d" _Gradient of determinant, 行列式的梯度/ b( _: S# K: o7 c
Graeco-Latin square, 希腊拉丁方 C: W; |+ {6 |
Grand mean, 总均值
( i f0 b4 c V' {8 U# b# G! ?6 XGross errors, 重大错误
; x" z0 f$ [+ I) NGross-error sensitivity, 大错敏感度3 C/ W0 ?; n% h& q3 Q/ a% q6 }5 E
Group averages, 分组平均. Y) U7 t& y; \# w. Y
Grouped data, 分组资料. G! u) w! _7 q7 b( F: ^0 `
Guessed mean, 假定平均数( v: i# U7 U. w5 g: M
Half-life, 半衰期
' g1 A* z2 Y. }1 H5 KHampel M-estimators, 汉佩尔M估计量+ d& r3 ~8 k. x. K& }* ]0 D
Happenstance, 偶然事件8 Z, N) H: ~# {; Q, G( I$ _* L
Harmonic mean, 调和均数
$ a8 V1 Z# \7 u2 Y5 wHazard function, 风险均数
, q2 S; w; a! f5 @$ b& M" MHazard rate, 风险率
0 Z5 _; {( |( W6 X: ^4 BHeading, 标目
6 v$ I/ Z* Q. g6 f( w, R+ r8 oHeavy-tailed distribution, 重尾分布
7 Y }. c: {, b% u% uHessian array, 海森立体阵
7 X# h, W/ m |8 W1 h& i, hHeterogeneity, 不同质: H, y/ b4 l# e5 s7 H- |9 P
Heterogeneity of variance, 方差不齐
2 t1 f4 e2 j; r7 rHierarchical classification, 组内分组
: @0 r' u" ~5 R7 Y* }Hierarchical clustering method, 系统聚类法
1 {0 {$ b4 [0 }7 V" l' Z+ VHigh-leverage point, 高杠杆率点
, _. T2 m) q' |- Z+ sHILOGLINEAR, 多维列联表的层次对数线性模型, O5 R6 n/ K; L0 S: g
Hinge, 折叶点. ^% \1 K1 ?/ m$ E* } y8 g) q
Histogram, 直方图
' W. ]( d! ^! Y. O9 n" _: h4 T) h6 PHistorical cohort study, 历史性队列研究 ' y9 S* f) V9 u& B
Holes, 空洞* N0 m# @& q1 p% z X' F
HOMALS, 多重响应分析/ v: q3 C5 c" W, n+ P" i6 C7 o
Homogeneity of variance, 方差齐性, ?7 Z& x- n3 j: e# ?, X* F
Homogeneity test, 齐性检验; S: J; c+ |6 B4 H1 x
Huber M-estimators, 休伯M估计量' B- X, K+ K; S
Hyperbola, 双曲线
: F$ ^% ~+ j$ b: Z5 C" ~$ jHypothesis testing, 假设检验' \( }8 p1 q& ^) |. ~
Hypothetical universe, 假设总体
5 x! g; g( c: l, L4 f- N9 NImpossible event, 不可能事件! j" T# r0 }- y5 O/ O& i
Independence, 独立性
B4 G1 V0 n, X* |2 NIndependent variable, 自变量
" l1 x4 ]3 Z5 H* D! h. Q" A) xIndex, 指标/指数
3 t' ^- w- j3 J, ]$ ^' E: }Indirect standardization, 间接标准化法+ G: ~1 v3 O: ~
Individual, 个体+ }. |5 k: u$ Y! Q
Inference band, 推断带/ q J2 U! x a2 [ Z1 h5 _
Infinite population, 无限总体
- {1 ~2 L/ X& C1 WInfinitely great, 无穷大
% T' U7 U. N$ A3 LInfinitely small, 无穷小
* l: R5 q$ a7 M- g% [4 z2 v% MInfluence curve, 影响曲线) n' g& A) W" C! d' G
Information capacity, 信息容量3 z" e1 [- H. I$ e! N- ^5 ^
Initial condition, 初始条件2 [" r$ K3 w/ X: W! Z5 i
Initial estimate, 初始估计值( h' K' \( R# @0 {) T
Initial level, 最初水平
7 _" m. Q) E M1 M( i! T& k) OInteraction, 交互作用/ V- {" R! y% g J
Interaction terms, 交互作用项
' `/ [ A7 S/ R: DIntercept, 截距6 F+ |) A% W+ J$ A7 @( P7 `, ]
Interpolation, 内插法
$ e( s/ E4 ~% @# A" rInterquartile range, 四分位距% z# O$ q3 F9 M @; K
Interval estimation, 区间估计$ J! t4 Y: w v! H7 b2 t9 H2 p
Intervals of equal probability, 等概率区间
- f3 ~' d m8 e; ?( KIntrinsic curvature, 固有曲率
a1 K! a8 I$ I( mInvariance, 不变性0 H- N- g' j4 c
Inverse matrix, 逆矩阵0 a6 P/ ]; k6 w! c8 s, Q6 Z' F
Inverse probability, 逆概率* l+ }) g k" t5 _, y& C7 o9 m7 w+ i' u
Inverse sine transformation, 反正弦变换( U( k5 f7 _4 O8 Q5 L( A7 Q4 ]
Iteration, 迭代 ' d+ h: u9 Q4 `0 y4 C/ v% P
Jacobian determinant, 雅可比行列式
. o% h) ^3 ~5 [- s( JJoint distribution function, 分布函数
2 q$ ]1 E4 @- M: aJoint probability, 联合概率
4 \" c6 {- i1 O- `7 O6 a% MJoint probability distribution, 联合概率分布
% v* g9 t- X9 C3 R3 aK means method, 逐步聚类法
* S8 v1 L- ]+ dKaplan-Meier, 评估事件的时间长度 6 y# j+ D+ ]& \! |/ U
Kaplan-Merier chart, Kaplan-Merier图
/ S8 P1 b* |- k# u) `7 l/ gKendall's rank correlation, Kendall等级相关
, V9 A/ N) ?6 M* QKinetic, 动力学
% N) y7 j1 F5 @' ]! lKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
- J* d- Q) V/ n# ^# J+ C' E3 MKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
! o; e; W% X" B2 h! q. V9 CKurtosis, 峰度# Y8 C9 m" h( _ J
Lack of fit, 失拟; f1 x0 W6 o3 I, [: T
Ladder of powers, 幂阶梯* k+ x6 z3 w. [3 c* W+ A9 s
Lag, 滞后1 J5 N1 o/ n& ?0 x, v
Large sample, 大样本
h) [. Y( J+ }3 I9 W+ l' `. JLarge sample test, 大样本检验: }* C ~8 v/ e+ j' ~
Latin square, 拉丁方
" l" ]: ~0 `5 z" ]Latin square design, 拉丁方设计$ ]2 \, }$ T& C8 B6 `, H$ `0 u
Leakage, 泄漏
" U% l3 k0 E- l9 K0 ULeast favorable configuration, 最不利构形
- R+ ]7 Y+ ]* e7 G( q$ O" `Least favorable distribution, 最不利分布
; v E: L/ ^5 D PLeast significant difference, 最小显著差法
8 Z8 a+ e8 `9 a4 x* A3 iLeast square method, 最小二乘法* _0 |% H' f7 A/ }: v$ `
Least-absolute-residuals estimates, 最小绝对残差估计0 T+ t* e; B' d. G2 y5 K4 n
Least-absolute-residuals fit, 最小绝对残差拟合- K4 ]5 C9 q3 E' Y# s% x- x
Least-absolute-residuals line, 最小绝对残差线
5 [& L" P5 e# M' s- j. d7 q; M! r, SLegend, 图例
u/ s% Q4 x7 i! u0 `+ v6 nL-estimator, L估计量
" w7 I7 U3 Q2 ~, [: j4 }L-estimator of location, 位置L估计量4 ]" O* ~! f8 R& r! v3 ^2 K- {
L-estimator of scale, 尺度L估计量
2 K. H* }7 {1 J3 TLevel, 水平4 x3 F( F/ \, E
Life expectance, 预期期望寿命1 S" e7 ]6 |5 s, U( Q3 X% a
Life table, 寿命表. X* ^6 a. |5 s* v: o
Life table method, 生命表法
4 O8 x1 ]; s* D) ?( fLight-tailed distribution, 轻尾分布
$ L0 o7 Z: Q- LLikelihood function, 似然函数- h% J( x! ^. B- K: h# \
Likelihood ratio, 似然比
7 k, j8 b S5 H) C. Tline graph, 线图3 k# \3 _. Q0 w7 A
Linear correlation, 直线相关- O: r. r5 Y; E* l: ]
Linear equation, 线性方程3 M( n) t% Q3 M4 f' ~/ P
Linear programming, 线性规划
' o6 t- x' f5 p2 GLinear regression, 直线回归
y F; H' L0 d- Q C! l1 mLinear Regression, 线性回归( a n J/ w3 P+ g/ N2 R
Linear trend, 线性趋势# W/ L( `8 K( D
Loading, 载荷
# B. A0 e7 t( \" m+ }9 M! c! W: ?Location and scale equivariance, 位置尺度同变性
2 L# y. W5 R4 gLocation equivariance, 位置同变性
# H* ?0 q3 ~9 _1 y: q9 t+ _Location invariance, 位置不变性
) C; F' t* r/ { A- lLocation scale family, 位置尺度族
) s+ h+ B$ T! A7 Q l' M2 A3 M: T z8 {Log rank test, 时序检验 3 Z0 A4 {: F+ Q. q
Logarithmic curve, 对数曲线& _, Z8 n& B8 v6 A4 P
Logarithmic normal distribution, 对数正态分布
4 R9 |9 ?: i$ ^! P+ H! XLogarithmic scale, 对数尺度# }3 Y1 g1 |! j
Logarithmic transformation, 对数变换% O. T" J' Q3 |1 _7 J; Q$ P
Logic check, 逻辑检查
& @ {! Q/ Y1 U( a/ l: cLogistic distribution, 逻辑斯特分布
% k |* j s: M k8 b9 H0 CLogit transformation, Logit转换
8 c. z# @ c& _9 l; W- a, y4 `1 uLOGLINEAR, 多维列联表通用模型 2 O5 O8 t( ?3 n7 C8 p9 P8 r* [
Lognormal distribution, 对数正态分布2 }0 h8 T: N$ Y- _
Lost function, 损失函数
4 I" U$ l F& s4 ILow correlation, 低度相关
}4 H5 R$ w: k7 wLower limit, 下限7 g& E0 Q2 R# n# a& \
Lowest-attained variance, 最小可达方差
3 t7 d% f& D4 i+ `: uLSD, 最小显著差法的简称
6 O6 }% v" ?: A1 U r: ~/ d5 F& P% YLurking variable, 潜在变量& d, t/ v+ i/ Z
Main effect, 主效应
; ?1 r. A3 H0 b& ^, B9 sMajor heading, 主辞标目
8 | k# d2 }7 T4 LMarginal density function, 边缘密度函数
6 R! p* A( v o0 }Marginal probability, 边缘概率
- M3 K% E! k' K4 ]Marginal probability distribution, 边缘概率分布, L! @) k% S+ n, }/ P% ^( W% O
Matched data, 配对资料
8 J5 p _# u l$ o5 wMatched distribution, 匹配过分布
% s" |2 T& A3 n' N- [Matching of distribution, 分布的匹配 \- {5 ?, X% o( U3 B2 C
Matching of transformation, 变换的匹配
: ~, g/ p7 o2 ^& B: ]4 uMathematical expectation, 数学期望
. z9 P+ W0 ?5 I9 gMathematical model, 数学模型8 u4 o5 X4 q* z: d& |/ Q) V# D$ h
Maximum L-estimator, 极大极小L 估计量
$ F+ W, r" Z# H+ L4 xMaximum likelihood method, 最大似然法
; ?1 ]; `, l! M8 g" ~" h! n( @$ E2 IMean, 均数+ @, p6 t- G5 ^4 o7 j3 x9 U" C
Mean squares between groups, 组间均方) e5 P4 O5 h9 S8 H; [
Mean squares within group, 组内均方2 l/ D h9 c; r
Means (Compare means), 均值-均值比较) y3 P6 ^- O0 y/ E7 M7 N
Median, 中位数
2 W3 z+ b3 O6 E, P; G* NMedian effective dose, 半数效量- ?! L1 G9 N2 X; v5 s
Median lethal dose, 半数致死量
% ?% U, v- O) M% u9 f: m8 k) s- cMedian polish, 中位数平滑7 c4 m" ~# p5 t
Median test, 中位数检验- o" Q# a) }+ Y1 ^! a: C* _
Minimal sufficient statistic, 最小充分统计量
0 m% s. P) v$ S, ]3 ]Minimum distance estimation, 最小距离估计/ f3 L+ f/ A8 O" L: ?+ n* A1 l
Minimum effective dose, 最小有效量
3 K3 {! ^, i9 |6 j+ YMinimum lethal dose, 最小致死量- i: W* l% X% M, n/ F1 C9 l
Minimum variance estimator, 最小方差估计量8 s0 J! ]: U& |% z6 j
MINITAB, 统计软件包+ N6 Z3 G1 m6 ~1 {) x) l9 B
Minor heading, 宾词标目. j$ I7 d2 h3 j% C4 i
Missing data, 缺失值: @& N) c: Y! J% w; H; a. i4 e
Model specification, 模型的确定9 Y i! r0 k9 l5 n" u2 U
Modeling Statistics , 模型统计
4 ], X0 O& r' r0 h/ G7 `" PModels for outliers, 离群值模型
$ X8 u6 }: d6 N( |) V+ Q( y9 WModifying the model, 模型的修正
. K6 g8 U& D1 m0 [ o$ @Modulus of continuity, 连续性模
0 j1 b$ s0 i) w" F" U: SMorbidity, 发病率 4 i3 J" h" o1 J( i
Most favorable configuration, 最有利构形
9 y5 r+ r l/ Y" e5 C# tMultidimensional Scaling (ASCAL), 多维尺度/多维标度
$ E, C' x2 J* }* f8 @' I6 o7 _Multinomial Logistic Regression , 多项逻辑斯蒂回归
1 S' C$ z2 D2 I2 m6 KMultiple comparison, 多重比较
; i% u) T# u8 E H/ N) DMultiple correlation , 复相关 Y+ D6 Q3 T; d, |8 R
Multiple covariance, 多元协方差5 F. |8 k) H' r3 N9 n' y2 B
Multiple linear regression, 多元线性回归
9 j/ [+ i1 M4 x/ u- e1 B+ |Multiple response , 多重选项4 }2 F! h, G/ P6 `; |6 I; G
Multiple solutions, 多解
/ v$ Z8 K( F8 p* ?! iMultiplication theorem, 乘法定理
! u& \6 h$ O4 H" `Multiresponse, 多元响应
. g& B/ z$ k8 cMulti-stage sampling, 多阶段抽样$ M. Z/ b0 M! E5 [3 T
Multivariate T distribution, 多元T分布+ b2 W0 Y( J' L
Mutual exclusive, 互不相容
% W8 x L% h* o, C1 H& a) UMutual independence, 互相独立! l' d* B* O8 X' q0 _
Natural boundary, 自然边界3 F2 K" O6 d, R) s2 f
Natural dead, 自然死亡
" R! K1 `1 _. O1 q3 p5 k- ]; c* xNatural zero, 自然零
$ o, j, o- R q3 \* z% LNegative correlation, 负相关* K/ J4 Y& X% p0 s
Negative linear correlation, 负线性相关
+ u5 B% |/ b2 e$ {& P* |- bNegatively skewed, 负偏! _8 U! k5 A% J; N6 t2 q/ ~9 i
Newman-Keuls method, q检验
. c8 l$ d! g; T( d& VNK method, q检验
) A/ O5 d! \' H: E! e! [2 lNo statistical significance, 无统计意义7 i1 P7 F6 e4 S$ x' [
Nominal variable, 名义变量
2 P8 ^ E6 S: p V7 ^0 cNonconstancy of variability, 变异的非定常性4 B8 Q: ^+ t' X. _) `
Nonlinear regression, 非线性相关3 K6 G" n; `1 X4 q# T+ m& Y
Nonparametric statistics, 非参数统计7 d2 @* w7 l$ H B; k$ A1 b0 M. r
Nonparametric test, 非参数检验
) ?0 v# D" |" dNonparametric tests, 非参数检验3 F2 t/ n0 W5 s4 w9 ]
Normal deviate, 正态离差/ W+ s7 d% }4 r$ k- X
Normal distribution, 正态分布
; T5 M c& W& k2 N1 n4 c% ]Normal equation, 正规方程组
/ C+ y- u+ t$ V# T T) r- `Normal ranges, 正常范围/ p+ E" A8 ^3 e. F8 @) f* V0 {/ k- D
Normal value, 正常值; f% |* P7 k2 k1 e4 O- U/ E6 `
Nuisance parameter, 多余参数/讨厌参数
' \- M; Z8 V; A* E9 R2 |- tNull hypothesis, 无效假设 & u- }2 J; u; Z- y! K' w" P
Numerical variable, 数值变量
) Q0 g0 B) o4 XObjective function, 目标函数
5 _' c. r2 H- _4 x% ]Observation unit, 观察单位
9 \4 j n; ]6 K2 g( W9 {Observed value, 观察值' \! v( I! o/ P. Q, B$ ?$ _! b/ g
One sided test, 单侧检验6 G- Z3 |( h* Y. `! r ^' s/ b
One-way analysis of variance, 单因素方差分析/ l' L, Y1 S1 n7 o
Oneway ANOVA , 单因素方差分析
' v4 ^' }& p; `% HOpen sequential trial, 开放型序贯设计
) h( Y5 b: L; X( t$ B3 Y0 b' UOptrim, 优切尾/ X0 t; G. B6 `- V% W6 Y( N
Optrim efficiency, 优切尾效率
% n9 e. h1 u O( Q* [$ AOrder statistics, 顺序统计量
# C7 ]% [! P9 m& d( cOrdered categories, 有序分类8 D3 ]+ K( ^" _/ e" g% O( u9 b5 P
Ordinal logistic regression , 序数逻辑斯蒂回归
9 L' X& N& }7 x9 b4 ]8 B' AOrdinal variable, 有序变量
! o! l7 x# l( r7 u6 O" Y& C0 FOrthogonal basis, 正交基( h, s7 I. q* G" m6 H' u @$ `
Orthogonal design, 正交试验设计
$ C3 a6 K5 V8 [Orthogonality conditions, 正交条件
+ F( q' U6 |& n2 WORTHOPLAN, 正交设计
! b& D1 Q( f l7 N6 VOutlier cutoffs, 离群值截断点4 d+ V9 A; {5 s' r% }
Outliers, 极端值 V9 v" s$ O) h* R1 s
OVERALS , 多组变量的非线性正规相关 * ^# c- Q6 Q( ^4 \
Overshoot, 迭代过度& I# G: C5 {+ G# I2 f. p
Paired design, 配对设计
4 J5 R+ e6 d& i9 l& C3 PPaired sample, 配对样本
8 _: x" b) G5 d1 rPairwise slopes, 成对斜率4 h) q6 i- R5 b6 r# I' D+ ]
Parabola, 抛物线
# `3 A6 G) U, q) j8 N* S1 k) |. sParallel tests, 平行试验4 y0 j' {# w; s' S% \( o5 U y
Parameter, 参数
- k; m3 w: z; w& AParametric statistics, 参数统计, h/ a4 P: U4 J; q9 c
Parametric test, 参数检验/ `% g9 S0 d( b0 ~. v
Partial correlation, 偏相关
) Q' P/ s1 a4 J; v5 }& {- wPartial regression, 偏回归7 b4 o: n9 _& m4 m% R7 p( m
Partial sorting, 偏排序! ~! J& q7 t! u: ~$ t( {. B( S8 h
Partials residuals, 偏残差
0 t5 ?$ s0 |; t7 C. mPattern, 模式
) h0 q+ u1 z. O- tPearson curves, 皮尔逊曲线 Z' V2 F7 X; A
Peeling, 退层
6 b" b" c$ j; k1 ?: u: KPercent bar graph, 百分条形图
1 R# D' x4 K5 h: S& j4 cPercentage, 百分比
+ _0 @; ?- V$ {8 sPercentile, 百分位数
* ?5 |( f; i0 B" ?- p8 |Percentile curves, 百分位曲线
- \5 u; i$ l' Q4 d5 XPeriodicity, 周期性
9 L. v& M. I3 x6 N; L1 BPermutation, 排列! ~2 k4 B' Q: P5 s0 F3 B0 @
P-estimator, P估计量) I* w: u) ^" R$ @8 @2 X' H' M
Pie graph, 饼图9 u5 \# S' D. P
Pitman estimator, 皮特曼估计量
& t( j3 k, l, l9 BPivot, 枢轴量
# c6 J- a/ p8 q1 FPlanar, 平坦
+ p1 q/ F y. yPlanar assumption, 平面的假设! y5 G5 [4 e" `( T5 r& J
PLANCARDS, 生成试验的计划卡, g4 J' G0 p0 R, U3 W; K' s8 }
Point estimation, 点估计; Q# R. K3 l/ s5 ^! X
Poisson distribution, 泊松分布
, t( u& E" B6 |) P$ u9 W: mPolishing, 平滑
0 F4 f+ k( X$ P/ k1 @8 C |7 e5 C5 ?Polled standard deviation, 合并标准差: i/ J/ I" \: E
Polled variance, 合并方差
- A: v9 T) c" V3 s% L, SPolygon, 多边图! T+ a8 Q4 k! r' m5 h& |
Polynomial, 多项式
3 z8 x: |" O: \2 t. oPolynomial curve, 多项式曲线, y4 v7 l- U4 q. A7 e+ T
Population, 总体, j( e+ C& b: E' L% D
Population attributable risk, 人群归因危险度- K: o8 r4 z# M8 K% y7 c& D7 }. Y
Positive correlation, 正相关" W2 H) o6 w3 i% N2 t
Positively skewed, 正偏
, b7 K: f4 n8 v6 {% _Posterior distribution, 后验分布
3 ` l {; b/ y8 O5 }& TPower of a test, 检验效能+ Z( s- m0 I% }2 \7 ^8 |4 z* p( c. H
Precision, 精密度& t R, x" y9 @, f) c+ w1 D6 D1 ^
Predicted value, 预测值
: Z$ i& L; W8 T$ b9 W0 v. VPreliminary analysis, 预备性分析
2 V9 x: |' N* APrincipal component analysis, 主成分分析8 t- z7 s! Y O( R2 M8 Z
Prior distribution, 先验分布. {' Z3 @ l( `/ ?
Prior probability, 先验概率
: x* S9 g- V, o3 n6 x RProbabilistic model, 概率模型
, {$ e- X. I* gprobability, 概率
0 L9 [/ a' y/ HProbability density, 概率密度! l/ S s3 W: _) S: }& ]
Product moment, 乘积矩/协方差
8 J1 j* m" S3 aProfile trace, 截面迹图8 B8 I* x) J& V# o7 O2 G& {" l
Proportion, 比/构成比3 q, S5 H5 e3 \7 I2 e5 ^* ^3 O3 N O
Proportion allocation in stratified random sampling, 按比例分层随机抽样
/ _$ I8 o1 i4 D7 l0 iProportionate, 成比例2 v% l$ [3 { y9 l
Proportionate sub-class numbers, 成比例次级组含量' c! h# s& z' R" q& T# p
Prospective study, 前瞻性调查
4 U! B' g* w3 C5 x' RProximities, 亲近性 ' Q( y/ n l2 R) t, }3 T
Pseudo F test, 近似F检验 w' X1 c2 y. I6 X
Pseudo model, 近似模型# y" N! N( F3 N0 g/ f/ j1 I
Pseudosigma, 伪标准差2 D* @1 V X3 y' }# C) C
Purposive sampling, 有目的抽样$ F( N) n( p3 A" c
QR decomposition, QR分解
" e+ S+ n. l* S% CQuadratic approximation, 二次近似
/ x0 V# ^+ q: TQualitative classification, 属性分类
5 z! k6 Y, m- h6 e0 Q# [Qualitative method, 定性方法
+ x8 S3 @7 [* d- N# ?( i( yQuantile-quantile plot, 分位数-分位数图/Q-Q图* W3 M/ B! L# G$ Q/ b, U
Quantitative analysis, 定量分析5 ?% ~8 r. d$ `- D! U5 _+ }
Quartile, 四分位数% K) p. t/ J; j) R) J; u! }
Quick Cluster, 快速聚类$ Z# L0 p! l C/ ]- ]8 `& D
Radix sort, 基数排序' f# u8 T/ l) g2 T5 v
Random allocation, 随机化分组
$ x' I: V( j# a/ F- R o( V& ~Random blocks design, 随机区组设计0 N E9 V0 x4 T- Q0 \9 D4 l/ ?
Random event, 随机事件
# }% R7 a( n1 yRandomization, 随机化
& a [) h) K% Z# u4 mRange, 极差/全距- d u! w3 T9 ^. d% ]
Rank correlation, 等级相关
" a2 }' {) u4 D9 m, v2 dRank sum test, 秩和检验4 J1 G8 t* X/ r2 Y& o
Rank test, 秩检验. C$ z( x) ?! R2 @* s j
Ranked data, 等级资料
% o2 ?0 G+ ]- C# N5 p: tRate, 比率' w! a) N$ b7 E: O- e6 |# ~
Ratio, 比例7 J+ j# i% i \7 s$ T' M
Raw data, 原始资料- a. N0 y3 }# W9 \; j S& V1 S
Raw residual, 原始残差
3 e: E* g, F' T, u3 Z/ @Rayleigh's test, 雷氏检验
& L, u6 f! b: Q; G4 v% A# ?Rayleigh's Z, 雷氏Z值
, z) p( j7 g9 A* CReciprocal, 倒数
- C' E5 k/ N$ D% r& S. SReciprocal transformation, 倒数变换
3 T/ b: c& v$ E/ U9 r! ?Recording, 记录- V+ b/ L8 }9 p6 o3 T/ P5 J
Redescending estimators, 回降估计量3 o4 h }4 M- ] n& M
Reducing dimensions, 降维
- z( h/ [4 k$ F9 r% j( \Re-expression, 重新表达6 r5 m. {0 E6 Z7 T
Reference set, 标准组' r, \5 W: U* p( H3 P" c( V
Region of acceptance, 接受域. l" z& ]3 C" Y n4 F; Q0 c) `
Regression coefficient, 回归系数2 `; c+ O. i+ q2 L5 G
Regression sum of square, 回归平方和
& m8 }6 d" F& i0 a/ \1 [Rejection point, 拒绝点, z* A* p6 T+ o2 E
Relative dispersion, 相对离散度
1 M7 u" x: v- P2 O/ @% ]Relative number, 相对数
* j }- Y. i9 Y3 ~2 }5 n* K W* hReliability, 可靠性- V, c/ r1 ?8 T
Reparametrization, 重新设置参数 T1 [$ Y8 T5 y# M0 S
Replication, 重复
$ q0 X# [1 B! i/ v; [+ L. rReport Summaries, 报告摘要
* r7 S! V' F2 yResidual sum of square, 剩余平方和* ^( B$ s" y" s: S4 e( U
Resistance, 耐抗性
1 l+ ?) x3 p2 j4 m5 H# r* a3 MResistant line, 耐抗线7 |7 @/ Q+ V' F, n6 l
Resistant technique, 耐抗技术
. ~* V9 Z; O( D, g- N( QR-estimator of location, 位置R估计量) i5 U) m, _4 t4 x$ q( z
R-estimator of scale, 尺度R估计量
' W9 W& ^( }/ U. Z& ZRetrospective study, 回顾性调查
* f5 s4 X' D! M+ }3 p" LRidge trace, 岭迹
8 @6 @8 m: s; D: f5 \; cRidit analysis, Ridit分析1 @, s1 h. j- a" c. m, j0 |4 c" E
Rotation, 旋转8 O2 z$ I" g: x* u4 v0 W' s
Rounding, 舍入
* ]. E3 _/ e2 Z. S2 @Row, 行- {/ j; _' b! v1 d; D
Row effects, 行效应/ \ l' ]% U& ]% c! q4 z. O& ^
Row factor, 行因素9 z# [( }# b* k( T8 o. @/ @
RXC table, RXC表
" w6 Y1 B: U# uSample, 样本6 t- `& e5 d& }; H1 [/ h) ]. N
Sample regression coefficient, 样本回归系数
+ C6 g0 W2 f5 LSample size, 样本量+ |* P V6 [ k# e( k# \, {
Sample standard deviation, 样本标准差3 S B0 A6 h- Z& A- h
Sampling error, 抽样误差* }* O& c5 _( ]* r: t+ q
SAS(Statistical analysis system ), SAS统计软件包' z: p5 m5 c/ v- s5 l; B" N8 ~
Scale, 尺度/量表, l- p$ j3 ?0 B% K' i" V ^4 l
Scatter diagram, 散点图' P. i2 i+ y9 s/ r: L, G1 G; S
Schematic plot, 示意图/简图1 v- x- s, U9 H0 d- j
Score test, 计分检验5 T" D( }; B) o4 u4 i/ c Q
Screening, 筛检
) h+ X$ [, C; T0 f& U# pSEASON, 季节分析
7 T# g7 I+ ~* Y# ^: G7 [Second derivative, 二阶导数
! l0 h- ?! v. A: ]) ^, ^2 ESecond principal component, 第二主成分
. ], j3 ?2 ~! t1 ]SEM (Structural equation modeling), 结构化方程模型 T' N! `4 Q6 D# f1 D4 e2 f) M
Semi-logarithmic graph, 半对数图
2 f6 B+ n3 q7 w' |3 a6 k% dSemi-logarithmic paper, 半对数格纸
0 Z0 Q# L. q1 dSensitivity curve, 敏感度曲线
8 e/ ^8 D9 w0 V' B4 M; Y+ J) |Sequential analysis, 贯序分析
3 L' h6 ~ a9 @& V* t7 h% MSequential data set, 顺序数据集3 I0 p' v5 F( X
Sequential design, 贯序设计
" Z+ ]8 k8 b2 ^! t \Sequential method, 贯序法- g1 q& Y2 P. @6 L; b6 m+ X
Sequential test, 贯序检验法9 L+ Y2 k0 P- k
Serial tests, 系列试验 T1 y& y' j9 {) n+ x5 S
Short-cut method, 简捷法 ( O) _) N4 O$ C. S& d
Sigmoid curve, S形曲线
5 P! q3 B5 F3 E( ]6 | VSign function, 正负号函数
# g- M; k2 C5 T6 O( ^, ^. gSign test, 符号检验2 }" a2 j& Z' A+ a1 U
Signed rank, 符号秩
& Q0 a) n% w( J. B' o+ T# YSignificance test, 显著性检验
4 u0 J( J P; R2 jSignificant figure, 有效数字
3 V. |! m( ?2 h- ]2 t8 \' pSimple cluster sampling, 简单整群抽样) o% B% ^' m) Q1 e# k& S
Simple correlation, 简单相关8 ~9 G( O6 V7 T- d; u8 O q" l
Simple random sampling, 简单随机抽样1 X& P; y) _# h( t
Simple regression, 简单回归9 w* o! h& O: s+ \4 y6 }
simple table, 简单表
- A3 I3 c r4 X: y5 D4 i @! c8 cSine estimator, 正弦估计量3 j9 S4 p7 x% l) @
Single-valued estimate, 单值估计
+ P8 E( B/ b1 n& p9 i8 xSingular matrix, 奇异矩阵
" b/ z+ e1 ?- @8 [) O2 e' d0 zSkewed distribution, 偏斜分布
F' X) x( [$ t, o" @/ x. |0 [7 ~Skewness, 偏度- o3 ]$ r7 I5 V
Slash distribution, 斜线分布
5 H+ B- f! N2 x( h2 ?8 Q) L& vSlope, 斜率
# J' W* E; ?) @& USmirnov test, 斯米尔诺夫检验0 m% i5 R. i/ H4 J( {
Source of variation, 变异来源7 ?0 Y/ Z0 h8 w/ i! Y
Spearman rank correlation, 斯皮尔曼等级相关: q3 A! I7 o# K# `2 k
Specific factor, 特殊因子) u8 I& K' Q$ e7 u* X+ B, r
Specific factor variance, 特殊因子方差
1 p; t" ]3 R2 c Q z/ ZSpectra , 频谱
# X" |) T) h$ S3 @% gSpherical distribution, 球型正态分布3 z- n$ k# S$ n2 {/ o$ j [
Spread, 展布% h+ C+ |& a3 X5 n
SPSS(Statistical package for the social science), SPSS统计软件包
$ `: ]; L9 Y$ T% V8 K& u7 E$ c' n, fSpurious correlation, 假性相关: |9 p; L5 t m) w: t/ A5 _: E
Square root transformation, 平方根变换
. X# n7 k, h/ }6 Z/ rStabilizing variance, 稳定方差$ T, |3 _9 t7 {( |/ y8 a `- _- m
Standard deviation, 标准差
5 o1 m2 Q' O4 W- c4 B1 C, t- bStandard error, 标准误5 R e; [! E2 @) x
Standard error of difference, 差别的标准误
9 G( m5 u$ Q0 }* Z* p, yStandard error of estimate, 标准估计误差- d5 C9 x( U+ _6 C8 ^' W
Standard error of rate, 率的标准误! d" v# U4 g% k) a2 V& m7 p
Standard normal distribution, 标准正态分布, J. Y% q& |, b9 S v
Standardization, 标准化
6 s5 a$ M7 S$ m8 nStarting value, 起始值
# p, E# |/ j N# [8 g7 ^Statistic, 统计量
3 u2 U4 A4 E( e/ VStatistical control, 统计控制
- c4 G5 g7 N! ^Statistical graph, 统计图& y$ P% V4 x" j& C3 P& Q4 B
Statistical inference, 统计推断
. {! [) E6 O% d* Y3 C/ GStatistical table, 统计表( }. V; U( F* J) d! O+ P2 o
Steepest descent, 最速下降法# g: @9 V; W3 v1 N2 q' E
Stem and leaf display, 茎叶图
) v$ h7 x+ K$ Z3 i& b' A1 i8 D4 CStep factor, 步长因子* Y/ W% ^/ b4 |
Stepwise regression, 逐步回归& }9 f3 T% _) ]: H! r$ ]
Storage, 存
+ G! I0 m7 ^8 LStrata, 层（复数）
& }% ~7 Y, j/ B0 s5 e8 j0 _Stratified sampling, 分层抽样; p" ~- M9 x( B5 b8 J1 ]
Stratified sampling, 分层抽样$ R: F, w* T/ c9 ~& h. [4 l
Strength, 强度
* K4 e d* P5 X% T/ @) S7 P1 MStringency, 严密性
( t* `8 d2 @$ g1 p8 ^Structural relationship, 结构关系6 N* k7 N! e( G* L& A
Studentized residual, 学生化残差/t化残差* t& t" T& \, `) l: Q6 Z7 A
Sub-class numbers, 次级组含量7 R; |4 e; p+ J1 f0 h
Subdividing, 分割1 r9 x# |5 D9 v' F T8 A0 t, |
Sufficient statistic, 充分统计量
/ H7 z# m2 p5 a$ `/ P+ }2 I5 k' ASum of products, 积和
" s% G {) Z/ o6 b9 cSum of squares, 离差平方和
[% {* T0 E( t! I' f0 USum of squares about regression, 回归平方和! C% z& `3 P" m* n
Sum of squares between groups, 组间平方和
, m1 |, K: j0 \6 I( y2 l3 {Sum of squares of partial regression, 偏回归平方和
# X5 }3 m! i. mSure event, 必然事件
) D {+ H% U2 Y3 j# K% w4 l) j/ GSurvey, 调查3 P$ _% V1 Z8 N+ ]3 r0 h
Survival, 生存分析
# J( N g; W/ {# LSurvival rate, 生存率0 J$ o u+ C8 l8 a; r
Suspended root gram, 悬吊根图
: d- n! U" x3 s# B! i) U/ ^Symmetry, 对称! y- Q- \ g' p; I8 ?1 \; k/ D
Systematic error, 系统误差
r9 [/ o' G: a lSystematic sampling, 系统抽样# k' e- [( G3 d8 K( a3 B
Tags, 标签
: h9 j3 X0 Q V! UTail area, 尾部面积' f5 P( j+ D+ j, K" O
Tail length, 尾长! p/ ] y! l* N' M7 Z5 T# Q
Tail weight, 尾重# M# V/ y9 ?9 a7 x% G1 f7 H
Tangent line, 切线
# z. x3 a4 o3 `; k6 WTarget distribution, 目标分布% \8 S4 p; g& v# C, |3 l9 Z: P- y' Y: ]
Taylor series, 泰勒级数
) p7 o2 L4 U2 q _: K5 oTendency of dispersion, 离散趋势
( B: a* M3 r6 Y3 `; Q; ]/ y: XTesting of hypotheses, 假设检验$ {1 U; b$ M5 i' \" Q
Theoretical frequency, 理论频数: z4 @! i$ i9 z7 |+ {6 T- t4 C' `
Time series, 时间序列
4 I9 }/ q# @ gTolerance interval, 容忍区间
) R+ j2 K- K$ QTolerance lower limit, 容忍下限1 P; V0 X6 }" o0 c2 i6 c; I; T
Tolerance upper limit, 容忍上限
& t4 `+ h( A% F+ I/ t2 cTorsion, 扰率6 E! h3 a& H: |' Q2 _; L4 D7 f, [* q
Total sum of square, 总平方和
: s' k' j# m6 |% R* _" i0 XTotal variation, 总变异
~8 O& C. h7 a3 n2 m# iTransformation, 转换; F0 x! T* z1 O- y( G0 W
Treatment, 处理
% L0 T% s9 n0 H; w" s4 |$ tTrend, 趋势+ Q' }7 }. l5 o' _" b
Trend of percentage, 百分比趋势
+ G# b5 r7 b2 B2 `Trial, 试验
& U$ k! Y- O4 M& {9 @Trial and error method, 试错法
4 I1 `+ y* `4 U. K7 t* jTuning constant, 细调常数& ?0 |; E# Y' Y6 d. ?+ V r: ]. l6 U
Two sided test, 双向检验, l0 m8 Q2 P) v+ F: g
Two-stage least squares, 二阶最小平方
- D/ r9 |5 r9 bTwo-stage sampling, 二阶段抽样& K* [/ y& l6 l( J7 G( H( B
Two-tailed test, 双侧检验
M! m' x5 h6 zTwo-way analysis of variance, 双因素方差分析
2 ~% Y* i3 s) Q O6 h) zTwo-way table, 双向表4 `8 ~' [& j$ z: M2 u2 t$ W1 Y
Type I error, 一类错误/α错误9 W( [' ~& |' x
Type II error, 二类错误/β错误: t5 w! e# ]6 {% z* [! o& ^
UMVU, 方差一致最小无偏估计简称
, |6 [! z/ T: JUnbiased estimate, 无偏估计5 X' q5 P K% w
Unconstrained nonlinear regression , 无约束非线性回归; x' Q% L- c9 K N% i
Unequal subclass number, 不等次级组含量
! F/ [3 s% y" D8 A0 gUngrouped data, 不分组资料$ B) ]* c# ~6 \' j
Uniform coordinate, 均匀坐标- ?2 O' \3 x0 _, S+ j* P
Uniform distribution, 均匀分布; V L! k0 M, W: @2 ?* g
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
# L4 f+ v/ c& T$ W% CUnit, 单元 s6 u$ R$ [: q% g5 o
Unordered categories, 无序分类
6 N/ J% Z; Y: u }$ f9 lUpper limit, 上限4 R5 i' w5 i; N- J6 R# G- P
Upward rank, 升秩2 W: F( f) C |: V' c, L2 [$ v
Vague concept, 模糊概念
) l- r, O8 V3 ]+ n+ i4 \2 QValidity, 有效性, R7 T7 z* u) T* ]
VARCOMP (Variance component estimation), 方差元素估计
5 K% r# }! K9 F( [ P( ZVariability, 变异性+ [" K! k7 w* I' D; K
Variable, 变量
. E. [, y1 S8 X0 @( q. X4 m+ |0 wVariance, 方差' U, G3 c3 V5 p+ c ~
Variation, 变异* D" f$ G7 T- [+ q; o
Varimax orthogonal rotation, 方差最大正交旋转6 v, k; J! a# ?) B
Volume of distribution, 容积/ e: Z! J: E. z7 D4 o
W test, W检验
* ~. w1 ^5 h O& h Y. uWeibull distribution, 威布尔分布3 W$ j2 v8 p) W; ]- P" G5 p
Weight, 权数& ]" k' Y) t8 b4 ?- i
Weighted Chi-square test, 加权卡方检验/Cochran检验
h9 V/ T" Y) DWeighted linear regression method, 加权直线回归
% W5 |3 j/ B0 }3 r9 ^: FWeighted mean, 加权平均数7 s) G3 f; f2 d" ]
Weighted mean square, 加权平均方差
4 @; Z9 {. P* P2 T3 }0 VWeighted sum of square, 加权平方和
; Q1 m, K& C* EWeighting coefficient, 权重系数' X% a0 F% y1 D; ?* F
Weighting method, 加权法
+ P5 {3 P0 U0 FW-estimation, W估计量2 j& Q8 a6 X- y4 X5 w3 C5 ^# ^* m
W-estimation of location, 位置W估计量
; ?# t* f+ ?0 g. u2 j3 rWidth, 宽度; ^- J4 n$ h3 M$ p! v4 r
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
; v G5 Z# f* @) x* c1 wWild point, 野点/狂点; e5 H2 a' l% D' D) J, V8 F) d
Wild value, 野值/狂值
1 m& h+ z @- Y/ Q3 v# nWinsorized mean, 缩尾均值
R0 f r: M4 V: \% {Withdraw, 失访 2 G7 `) R% `5 V' \0 D* u9 L
Youden's index, 尤登指数2 R* @; t1 Q h6 ?
Z test, Z检验
0 H. t% g3 X3 N- R+ C- l4 @/ Z1 V: OZero correlation, 零相关; ]; i& z$ K+ l* A9 T4 p7 c. M) G
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
