|
|
Absolute deviation, 绝对离差
% K, P* }5 u+ E: iAbsolute number, 绝对数, ? M+ r; q7 l, E
Absolute residuals, 绝对残差( F8 j8 D6 X& S
Acceleration array, 加速度立体阵% ^- v, v# b" [! k) y3 [: [0 l
Acceleration in an arbitrary direction, 任意方向上的加速度* |4 U% E; B7 i! {( n7 C9 m0 [& H2 M
Acceleration normal, 法向加速度
0 U* Q+ X. z. d* a, [8 h5 O! \2 gAcceleration space dimension, 加速度空间的维数
- H5 t" x/ z: A5 AAcceleration tangential, 切向加速度; g5 S4 T' }& ?1 ~. H
Acceleration vector, 加速度向量
) H) J4 `' x; i( D% ?Acceptable hypothesis, 可接受假设
& N- c+ d5 p8 R, KAccumulation, 累积7 w7 `% d5 e' J; n
Accuracy, 准确度
/ z# f6 b* C* _/ I( l8 @Actual frequency, 实际频数; V5 z- c0 M6 m: W$ C0 x
Adaptive estimator, 自适应估计量
- f2 F4 p! g* n0 S' ?4 LAddition, 相加' w1 F7 \# x3 ^6 ^
Addition theorem, 加法定理$ U* r/ c' s5 K4 @
Additivity, 可加性+ u' m9 Y7 |2 p" @
Adjusted rate, 调整率
* m& h* T8 g) g: P! XAdjusted value, 校正值% _1 @# r' [4 F; |: ?
Admissible error, 容许误差
/ |3 |3 j3 g" o2 m, ]Aggregation, 聚集性
+ Y* H8 H2 B9 I& g$ dAlternative hypothesis, 备择假设
/ E. W g# ~, s0 fAmong groups, 组间- H5 z' j+ G% y7 l. w
Amounts, 总量
4 Z; F+ n1 f! tAnalysis of correlation, 相关分析/ K% {/ j- I4 t) k
Analysis of covariance, 协方差分析6 J! _0 X3 S c& z9 B% w$ @
Analysis of regression, 回归分析+ v# |- `( [6 I8 V2 ]
Analysis of time series, 时间序列分析
0 ~& M7 b' s$ P5 K9 n# a% E `Analysis of variance, 方差分析
& G0 j1 p6 `7 q4 SAngular transformation, 角转换
9 c- F5 G2 k1 V$ N1 y* y& K- B4 QANOVA （analysis of variance）, 方差分析1 l7 x) i' t& } Y! H+ n# j
ANOVA Models, 方差分析模型
/ I; p9 `; a6 S6 \Arcing, 弧/弧旋( i# {' E/ x$ x1 |' r; m
Arcsine transformation, 反正弦变换+ {8 I( s* i; h3 H, \$ B
Area under the curve, 曲线面积
* G+ b! a& Y( m! g. |- g" m& WAREG , 评估从一个时间点到下一个时间点回归相关时的误差 + p- r9 W9 `! L# W: F
ARIMA, 季节和非季节性单变量模型的极大似然估计 ' S% B0 L8 [7 Q
Arithmetic grid paper, 算术格纸
& w5 _/ l p' N0 ?6 L# MArithmetic mean, 算术平均数
: G" s" u, Y0 s. h* s8 ?Arrhenius relation, 艾恩尼斯关系
0 Z4 H$ @! [, i5 C! a, @! ?Assessing fit, 拟合的评估
- i* [$ z! _- tAssociative laws, 结合律! R5 O7 M8 i, d7 O% G
Asymmetric distribution, 非对称分布
2 \! a' A2 c) f$ w/ x; |5 S3 |Asymptotic bias, 渐近偏倚
6 \% M( i5 g& F* x1 O; aAsymptotic efficiency, 渐近效率
6 d' @. Q+ h& o: P9 `Asymptotic variance, 渐近方差0 H" y9 E0 J5 F$ r+ i3 [
Attributable risk, 归因危险度
% u, P1 n# b* g% H/ oAttribute data, 属性资料
. W+ D7 D0 b6 P1 C. Y& n, RAttribution, 属性8 E! Y) C6 A) D( |. B: n1 i/ v: U
Autocorrelation, 自相关# O/ L" e0 z1 \6 H) k% A
Autocorrelation of residuals, 残差的自相关
7 b7 V y; b2 Q4 J+ X2 dAverage, 平均数8 F: c) x$ [& R2 B2 } D: O
Average confidence interval length, 平均置信区间长度: F/ c' z% B0 Z0 r
Average growth rate, 平均增长率
) P% U; e2 ^% w7 W# f% F- ]$ z3 `4 N: RBar chart, 条形图
' ?5 N4 S9 f* k- V C/ e0 fBar graph, 条形图
' f! Z. @# R8 }4 ]Base period, 基期
) i" H N; A x- t9 iBayes' theorem , Bayes定理1 m( x: m! z/ r
Bell-shaped curve, 钟形曲线: B" I" ^: t5 I8 V/ M2 b
Bernoulli distribution, 伯努力分布
' y- x3 _1 i# P V$ s8 uBest-trim estimator, 最好切尾估计量
: W* Q( s8 U, P1 s0 j0 }( s- \Bias, 偏性
2 S* E- x, ]! Q# q$ pBinary logistic regression, 二元逻辑斯蒂回归0 S" b+ R6 R8 J5 y1 ?0 Q j: D
Binomial distribution, 二项分布
" `( W g& ?9 k7 W1 HBisquare, 双平方% S" I2 K7 a+ q/ F7 T' o6 M
Bivariate Correlate, 二变量相关
! Y- a" @' q. J8 mBivariate normal distribution, 双变量正态分布0 d4 P- C% ?! j1 o
Bivariate normal population, 双变量正态总体& J' `. V9 s: i# }$ g$ f
Biweight interval, 双权区间) Q8 G$ D+ k2 L5 N' |
Biweight M-estimator, 双权M估计量
5 T! P, U1 a9 MBlock, 区组/配伍组
1 E/ ?# v# x: ?4 T3 z7 ]BMDP(Biomedical computer programs), BMDP统计软件包+ b; @) ]. l y6 Q+ l& b
Boxplots, 箱线图/箱尾图
/ X0 f- n, ^1 I: q% r" B: B) Q! RBreakdown bound, 崩溃界/崩溃点
( S8 `# ~2 Z% F9 d5 RCanonical correlation, 典型相关9 X+ S9 K* m% ?& F# K2 e$ s6 B
Caption, 纵标目: }0 F1 Z9 v! |
Case-control study, 病例对照研究7 B& l% w$ v( b. S
Categorical variable, 分类变量% n) d2 O" ^1 [9 }
Catenary, 悬链线, [% I) o$ A* a5 S- w3 `: Q% x
Cauchy distribution, 柯西分布( j0 S8 G! Y+ _$ k' F8 k" n
Cause-and-effect relationship, 因果关系% y$ u1 k- i2 Q5 b/ K) I
Cell, 单元: ` {$ I; e4 I6 M' v7 p1 |1 j
Censoring, 终检
7 T! E o; H# W& N5 z, UCenter of symmetry, 对称中心
. ~* g/ j/ v9 l* S7 }Centering and scaling, 中心化和定标( I/ u3 D9 ~* L v
Central tendency, 集中趋势+ L T+ E% `8 s0 v- i t: Z4 H' F
Central value, 中心值3 B6 A5 i" O1 b
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测0 i# M) S# S9 B: r; ?) P# H/ U
Chance, 机遇1 f, A: t- J, v4 W, w
Chance error, 随机误差$ l" Y2 o H, P7 O* k5 C! g- e( e
Chance variable, 随机变量% N" ] i% X7 M* J: F8 u1 f- t
Characteristic equation, 特征方程1 w C) b x. d, m) o! Y) ]
Characteristic root, 特征根
! Q: ^- B( r. I1 W* iCharacteristic vector, 特征向量
6 g: G' m3 B( ?+ Y# \Chebshev criterion of fit, 拟合的切比雪夫准则
4 b8 r2 r( \+ l8 V- D* I7 R1 p2 dChernoff faces, 切尔诺夫脸谱图
- M" o0 B# g: ] T hChi-square test, 卡方检验/χ2检验. S* H5 V2 D, M5 M
Choleskey decomposition, 乔洛斯基分解3 F |; {$ f* i" X
Circle chart, 圆图 4 o: v. c) M' C/ H' k; g2 Q
Class interval, 组距! w2 Q( P0 v# ]9 n( |2 Y" |2 `0 |
Class mid-value, 组中值
) w/ _- ?8 M! P' n/ WClass upper limit, 组上限
, I, G2 S" I( g, G, VClassified variable, 分类变量0 X* s! O" s- u, d& Z( [) U
Cluster analysis, 聚类分析
* Z/ h3 @+ g( z$ Z9 XCluster sampling, 整群抽样
3 g' d$ ]9 b, g/ TCode, 代码
, c9 {. i( x8 o L( WCoded data, 编码数据
" i6 ?% Y( L* T1 B9 Q0 _2 ?Coding, 编码
* e" O# T! y3 U$ \1 qCoefficient of contingency, 列联系数/ _; j! v, v: W" ^0 E. q
Coefficient of determination, 决定系数- I% l' @0 }- `2 E
Coefficient of multiple correlation, 多重相关系数# @3 {6 B; s2 Y/ C; `8 e, Q5 k) H
Coefficient of partial correlation, 偏相关系数5 T. m0 |' W& ^) t. D
Coefficient of production-moment correlation, 积差相关系数
. @( x4 h& x6 n6 JCoefficient of rank correlation, 等级相关系数2 C# j' R. q4 F, }) D( S% n
Coefficient of regression, 回归系数' s4 n: U7 q+ T4 Y. K
Coefficient of skewness, 偏度系数
7 Y+ @/ n2 X* s6 s* fCoefficient of variation, 变异系数
2 u5 X: }6 @* E. r% tCohort study, 队列研究0 ? T4 q& U g: s( D( i! q6 J
Column, 列
' t. T- p9 @' d# K7 |* aColumn effect, 列效应
# m' c! D! x' S- l; kColumn factor, 列因素8 O7 t8 q* [( e" I' \7 B
Combination pool, 合并
: c: u) F, ?/ H! aCombinative table, 组合表
7 Y2 z+ w- c7 N8 v7 J* k4 P: GCommon factor, 共性因子
# G: S- i9 M$ w$ ]. lCommon regression coefficient, 公共回归系数
$ f9 B$ Y' J# |5 t* P2 ?/ X* G, XCommon value, 共同值( }' M) s9 @+ c" A! U
Common variance, 公共方差9 `: C9 D* e6 a3 @/ y% }
Common variation, 公共变异
$ B8 T$ X3 v$ X" YCommunality variance, 共性方差$ U' x9 a% Q' r) { U
Comparability, 可比性8 `2 q6 p1 @% E
Comparison of bathes, 批比较
f% y0 ?- c, BComparison value, 比较值* v `# E+ f+ L B' a5 q
Compartment model, 分部模型
3 b& z7 H4 Q+ a+ v( q) u& YCompassion, 伸缩
! D# Z! O; L5 C9 WComplement of an event, 补事件
4 V& T; {0 P2 A4 MComplete association, 完全正相关
/ |7 b# f5 Q/ B2 @7 M( X; |4 yComplete dissociation, 完全不相关2 e0 ^9 V& G0 N$ O- M# e
Complete statistics, 完备统计量
9 V) N" f4 s. d- d, v8 `$ c! BCompletely randomized design, 完全随机化设计; V0 \/ N5 H1 N5 v
Composite event, 联合事件
, c+ ]0 z$ D2 Z$ [' Z D: vComposite events, 复合事件
& \* u6 i- l s' Q3 Q. |Concavity, 凹性
8 L- u; z3 j( @! M' x M3 i/ dConditional expectation, 条件期望
3 r: i0 ^, r/ a* k% f$ K1 GConditional likelihood, 条件似然: t$ D# n+ S0 x, n7 |
Conditional probability, 条件概率
" @' ^& X- M2 s0 b8 J) jConditionally linear, 依条件线性) ?( a3 j @* {. E2 \- u7 @
Confidence interval, 置信区间
8 n) |/ m9 c, ]( V3 l \ IConfidence limit, 置信限
- U% O/ [! O' lConfidence lower limit, 置信下限
' j* P2 ^$ z I J8 RConfidence upper limit, 置信上限
4 T# c2 e* l6 L2 \! kConfirmatory Factor Analysis , 验证性因子分析
, v0 Y' v) X$ e# p: m+ [+ q) ]8 P MConfirmatory research, 证实性实验研究
( h, b! {7 N0 f0 i& z2 H9 w( JConfounding factor, 混杂因素# M1 R6 U0 G: n; Q
Conjoint, 联合分析
) X3 n8 [8 h( {Consistency, 相合性& ` J* l0 N1 n" N
Consistency check, 一致性检验
1 R X7 i6 p, \* {) i5 g/ GConsistent asymptotically normal estimate, 相合渐近正态估计' m" E5 [' G/ y: X( }3 O4 ~. M
Consistent estimate, 相合估计; h4 f( v9 T0 {7 i3 h
Constrained nonlinear regression, 受约束非线性回归
9 a" j0 N/ m! L5 K: [Constraint, 约束
- s, H0 W7 y% ]" ]% K4 OContaminated distribution, 污染分布: Z5 V# H) Q. G, G" J/ q
Contaminated Gausssian, 污染高斯分布) A2 z+ B# P3 j S; T; a: ]
Contaminated normal distribution, 污染正态分布: U' O7 u9 w8 ?
Contamination, 污染
3 T: x2 i! D$ Y7 [2 @) _; V$ r/ OContamination model, 污染模型% k- i; F4 ~+ e5 Q; o/ K
Contingency table, 列联表* k) ^- B1 N3 z( n# H# ]( g* C
Contour, 边界线
; P% }$ a+ p; ~- F9 oContribution rate, 贡献率6 o [& O0 ] _1 {, Z' z6 Z
Control, 对照
i- |+ { b1 S, w' BControlled experiments, 对照实验; O: `: V t6 x. R! K+ o
Conventional depth, 常规深度
! c3 J6 J! U' }. H: tConvolution, 卷积- P T; ?- B" C: c9 M5 ?
Corrected factor, 校正因子
7 d. y% [' T) p" M0 cCorrected mean, 校正均值
5 s% J* F+ C" ?+ j/ ~! A% _6 B' ICorrection coefficient, 校正系数" G( w1 x: i- O3 |2 l
Correctness, 正确性
& {3 g0 z$ B- e# j/ @Correlation coefficient, 相关系数
+ C8 ?3 l; P, |: xCorrelation index, 相关指数' I7 X6 ?; U1 {/ a* r( m1 Z
Correspondence, 对应
. A! b$ p# ?) p* a8 LCounting, 计数* f2 @0 ?# Z0 A' E. i$ V7 A6 Y
Counts, 计数/频数2 O" v* O" |5 U* M0 y+ Q
Covariance, 协方差
% z# H% h/ z: D, `Covariant, 共变 ; L5 P+ |- L) W1 `3 d
Cox Regression, Cox回归
; e: M8 `$ d1 H1 K, K3 y+ @! ~Criteria for fitting, 拟合准则
2 o$ d% ]" u3 b: e$ B( c$ |Criteria of least squares, 最小二乘准则
5 u( j2 |# Q0 V8 C( @/ YCritical ratio, 临界比' G+ M4 H; [9 Z
Critical region, 拒绝域
+ j0 L9 q g5 u9 m5 n$ m% {Critical value, 临界值. g; J9 N: d7 ~- Q$ U$ l
Cross-over design, 交叉设计$ U9 O' J8 I/ t* P% \" y
Cross-section analysis, 横断面分析3 ]& k+ z+ s% N3 l
Cross-section survey, 横断面调查
- t% Z: E% A* d ~$ G3 X' P2 rCrosstabs , 交叉表
5 y: m$ n% z9 O' \+ z2 [( Y& @/ wCross-tabulation table, 复合表
. ]9 k$ u5 |, B: q9 F, r: vCube root, 立方根6 I: J/ X4 L, f. V1 {
Cumulative distribution function, 分布函数" W9 r$ t/ l( ^ B0 h9 N& L
Cumulative probability, 累计概率
: m" o- N. O8 t! v2 N9 b' DCurvature, 曲率/弯曲
$ G7 r* \6 e' kCurvature, 曲率
! `' |# O$ m2 i+ ]/ I, y' h, Q2 l! e5 yCurve fit , 曲线拟和
3 X4 S2 ]4 R; _7 Z; H) uCurve fitting, 曲线拟合
, M" y3 `; M* A: C, x; RCurvilinear regression, 曲线回归* a. ]- B- h( P4 p# _5 B
Curvilinear relation, 曲线关系" o; |( b( x) @
Cut-and-try method, 尝试法
# |7 j1 D) \3 J& k4 bCycle, 周期, m$ B; |1 @. y h, D
Cyclist, 周期性4 B5 K* O$ Y, \& C& F7 { c
D test, D检验
7 k/ b# ~% x- Z( B& z1 kData acquisition, 资料收集0 p7 Z: n2 a! A1 W* y. u9 _
Data bank, 数据库' u$ g: c3 X7 q6 W9 i
Data capacity, 数据容量
$ i( J# @+ N1 [$ o! v5 C. K8 iData deficiencies, 数据缺乏% Y- J- @. p- T; a2 y
Data handling, 数据处理1 {( ^9 }2 P2 Q( m
Data manipulation, 数据处理9 R* j0 E4 z! e& }0 k- t% o
Data processing, 数据处理
% `" s4 S- t# ]# k3 j% ZData reduction, 数据缩减
) I3 O8 `# M( j' `$ F6 u5 }Data set, 数据集
4 @" f. z, ^. p; ^5 WData sources, 数据来源- @' {6 ^) \' @
Data transformation, 数据变换5 Z6 v8 s* }3 V8 B1 I6 J* I, N$ [: B
Data validity, 数据有效性! j5 Z$ F/ @ @4 w- `# i
Data-in, 数据输入. t& t: Z3 E1 x) K0 c
Data-out, 数据输出
# e' I$ E8 Z8 V2 e3 D. tDead time, 停滞期5 ?/ {+ C. \/ N( i3 E
Degree of freedom, 自由度* M" b9 f5 ^4 ]) e; ]% f8 q
Degree of precision, 精密度0 p; g- |7 d @% D: ?, s
Degree of reliability, 可靠性程度
. C/ a2 a" g# F3 n$ SDegression, 递减5 N) p% H6 l! {" O, t/ b
Density function, 密度函数4 J4 z( F. W5 L" l
Density of data points, 数据点的密度0 n# @3 y, q+ m8 S( J6 A2 P* S
Dependent variable, 应变量/依变量/因变量
/ X7 |* y3 j5 l/ Z4 DDependent variable, 因变量5 `* B. i- m- v' O K/ ]
Depth, 深度
) K. W% g, `- C' k6 j. X0 BDerivative matrix, 导数矩阵
8 ~9 g) p7 b( o" [6 y$ PDerivative-free methods, 无导数方法' O) H) I$ F& d! V( s- h
Design, 设计
' E* @1 l3 z) Z4 H: Y5 [+ f6 v; ]Determinacy, 确定性$ f: M- X$ K! X( G4 ~& _
Determinant, 行列式
6 m) Z4 g- W& {% Z8 c% d) S% xDeterminant, 决定因素
, S8 q {/ k! b8 F2 E/ aDeviation, 离差5 p8 O- d3 M' W: i( b" N- B
Deviation from average, 离均差
- o( V6 Y- T7 pDiagnostic plot, 诊断图( z' |$ G0 @# T- A+ s( X$ }
Dichotomous variable, 二分变量
4 F) f) w+ M# k2 MDifferential equation, 微分方程2 v7 }) j2 ^( A: U- E
Direct standardization, 直接标准化法
s% Q( N b( uDiscrete variable, 离散型变量
, O( V# U* x4 @0 g0 k: _DISCRIMINANT, 判断 : L5 C; c1 ]: H' k; [
Discriminant analysis, 判别分析
! T1 e) W5 \' _2 K" iDiscriminant coefficient, 判别系数
4 S3 w2 Z* M# m1 F aDiscriminant function, 判别值% @/ b# k3 D4 j5 q, h2 d# |
Dispersion, 散布/分散度: P; ~; ?1 P2 ?
Disproportional, 不成比例的
, ?4 f. c+ j% L$ t+ H [/ zDisproportionate sub-class numbers, 不成比例次级组含量' W6 v4 C. }" f5 z \; Q$ o
Distribution free, 分布无关性/免分布
% Q4 h" M, J# ^9 O( TDistribution shape, 分布形状
+ h5 R1 L$ C8 D+ `2 H3 R; y4 y1 |Distribution-free method, 任意分布法1 M: t+ a Z2 j3 \; y
Distributive laws, 分配律 J9 |1 u3 c2 P2 z C4 V6 f" u
Disturbance, 随机扰动项
( ~& b; F$ e" e, M |Dose response curve, 剂量反应曲线/ I1 ], Q" p! U! I; Y) J
Double blind method, 双盲法; V( k D" C7 G8 i0 X4 R
Double blind trial, 双盲试验1 u& n' Y! m: i. |1 n8 v
Double exponential distribution, 双指数分布" Z( _/ i; g: V, S; w
Double logarithmic, 双对数
- \/ i( ~4 [# ?3 t6 ADownward rank, 降秩
. ?* f! u8 {2 Z, z- qDual-space plot, 对偶空间图
: x$ `3 ^5 q7 M. _DUD, 无导数方法% b& ]+ @; k/ L( r/ _, q
Duncan's new multiple range method, 新复极差法/Duncan新法
% t6 c# }0 F! @+ u$ B0 F$ _" f9 {' xEffect, 实验效应2 A9 Q! {9 F6 o; G4 L
Eigenvalue, 特征值
# O% o5 y u, |, p0 H* U- yEigenvector, 特征向量! w2 k* i$ g- `2 N& |; K
Ellipse, 椭圆( G9 ~! H3 b1 \$ Q/ a, _
Empirical distribution, 经验分布
0 Z! G" J3 J/ a6 yEmpirical probability, 经验概率单位
* W v( N7 N7 R9 N bEnumeration data, 计数资料
t' u( h7 m8 O& x$ H3 C7 vEqual sun-class number, 相等次级组含量9 A, Y9 o2 D/ I `- H- N
Equally likely, 等可能
* A N1 _" I$ J/ D' o9 C+ ~Equivariance, 同变性
9 T* [9 b$ s" W/ P; q. sError, 误差/错误 p0 o k# h) B9 `, x! s
Error of estimate, 估计误差4 i. v& g: U/ C- H2 y2 u2 ]& x6 [
Error type I, 第一类错误
' r8 ~. U7 Z( D2 W1 S% lError type II, 第二类错误
2 j/ ^, P( S! vEstimand, 被估量
' G- x2 N5 ?7 ^& V/ i tEstimated error mean squares, 估计误差均方, G r. e i! S
Estimated error sum of squares, 估计误差平方和! j" H2 `2 h3 l/ ]
Euclidean distance, 欧式距离
# y! o( ]0 X2 [, r" D: pEvent, 事件
+ q* p% L( T& R0 r& ]/ ?& HEvent, 事件5 s3 X" I0 q6 e1 D* T
Exceptional data point, 异常数据点
. n4 b* o8 y# U) `/ }, SExpectation plane, 期望平面( M# `7 P4 X; V
Expectation surface, 期望曲面
& \3 ~% V, y: h IExpected values, 期望值
0 d$ G3 d+ {' r) y/ B+ F' r. o* nExperiment, 实验- ^7 i: U& ?5 \" R$ f: E
Experimental sampling, 试验抽样, _- e! k& B0 N$ ?6 ~
Experimental unit, 试验单位
* R0 K1 }2 w" @5 \$ oExplanatory variable, 说明变量
; U$ Y4 e' P$ n$ E( xExploratory data analysis, 探索性数据分析8 y- o6 _4 e9 ~# X1 l$ i
Explore Summarize, 探索-摘要
- U+ B4 b5 T5 {( i$ h* IExponential curve, 指数曲线
, g B& d/ H2 KExponential growth, 指数式增长: M5 g b$ v3 e" [" Y- y
EXSMOOTH, 指数平滑方法 ) Z" g# Y; w1 n0 ~5 D9 _7 q
Extended fit, 扩充拟合
6 M+ I1 E% f L7 E- ]: \Extra parameter, 附加参数* q# f* q$ d- l) K$ E
Extrapolation, 外推法
$ E6 }; U1 R6 m1 j0 W& f1 }* PExtreme observation, 末端观测值
; B/ J4 e1 w6 N2 }1 |# pExtremes, 极端值/极值
]+ \1 k! x9 l, ?+ t3 z0 l0 |F distribution, F分布
* g* ~, q+ [# A( o0 ZF test, F检验$ D$ ?' P1 h, {: L6 ]) D" R
Factor, 因素/因子
3 H4 ?/ Y# Q; X# v. n4 NFactor analysis, 因子分析/ o' n0 K1 a1 ?; L+ j* e5 i
Factor Analysis, 因子分析7 I- ?5 D6 g$ }/ P9 v* B
Factor score, 因子得分
9 @$ f8 P* M3 @3 E6 }0 d2 wFactorial, 阶乘
" T& }% u. u4 L" Q6 IFactorial design, 析因试验设计
# R* B8 N8 g6 ~' S7 D4 D# n$ NFalse negative, 假阴性
, R# l0 ?$ f: i$ s, i) mFalse negative error, 假阴性错误
* v) w4 X6 i8 B+ v7 h6 Z" BFamily of distributions, 分布族
U( x( r6 y$ B: nFamily of estimators, 估计量族9 ]' [6 ~$ c: C: w% a5 W& P U( o
Fanning, 扇面
' A9 {" g9 y- `$ {; sFatality rate, 病死率
' \% b" r; O6 c0 C4 C! ]) yField investigation, 现场调查
3 q+ x0 e5 n: H+ xField survey, 现场调查# f$ R& S9 N! i( z
Finite population, 有限总体
& G8 ~# b0 Q# k7 ]+ {5 A: }Finite-sample, 有限样本
7 K& R* @: D0 z8 ]First derivative, 一阶导数+ B; y z; s" }- o- p1 ^
First principal component, 第一主成分) f J* J, z1 b; s
First quartile, 第一四分位数
; a, Q. h, p# E- Q& }Fisher information, 费雪信息量- N; i1 I6 N h, R5 m: @" \
Fitted value, 拟合值# N1 i# n( G. h8 n/ b
Fitting a curve, 曲线拟合5 x8 e4 F, l: a) y- s
Fixed base, 定基9 `" B; P6 y6 L8 V2 l
Fluctuation, 随机起伏7 X& Y) z3 F- N" V8 j1 o; B9 z
Forecast, 预测. O5 F# n/ l$ A0 t1 _
Four fold table, 四格表. d* [3 L. F* s5 ~7 w/ e
Fourth, 四分点
^* f6 c6 j* y: k/ ~0 Y4 yFraction blow, 左侧比率- a" Q+ `+ M6 j+ L- C% J6 [
Fractional error, 相对误差
$ H' W3 W1 T- `* k# pFrequency, 频率5 r% I+ I- z% M
Frequency polygon, 频数多边图' k: q3 m2 C; B$ ]
Frontier point, 界限点
! [ u. X! `" Q9 b5 n5 K+ hFunction relationship, 泛函关系) A3 {6 }4 W( k+ c, O- `
Gamma distribution, 伽玛分布" A. @3 T" g+ }/ X/ c0 S
Gauss increment, 高斯增量, D) V! g1 p% ]* c
Gaussian distribution, 高斯分布/正态分布" z: x( A Q, |8 \# O }( }( y7 j
Gauss-Newton increment, 高斯-牛顿增量7 v* u- g, V* y. R, ^& U
General census, 全面普查
3 t. L9 s+ j9 B+ j+ n: P; B ~; ^4 }GENLOG (Generalized liner models), 广义线性模型
8 @# l1 x5 F; l+ i6 mGeometric mean, 几何平均数9 A# b6 W+ j# n$ m/ q" J( C* Y
Gini's mean difference, 基尼均差
0 z$ S4 N' C8 a* p" OGLM (General liner models), 一般线性模型
$ E* V9 i3 r* n `- P. p$ d+ YGoodness of fit, 拟和优度/配合度
# @ n. @8 e4 Q2 G6 s) R1 \5 o5 h9 aGradient of determinant, 行列式的梯度
- _7 V0 B, M* r% I6 a; y% P3 w4 M% T) {Graeco-Latin square, 希腊拉丁方. [! q( H7 ^5 N8 ~
Grand mean, 总均值
) T( o4 l% P8 o% RGross errors, 重大错误
; ?2 Y7 Z0 _8 E' k; m5 D8 U9 I) Z. ^5 JGross-error sensitivity, 大错敏感度
- d- l0 J7 \" qGroup averages, 分组平均
: i# z( @9 ~$ ?# R6 WGrouped data, 分组资料
! j% V8 N& `( c+ LGuessed mean, 假定平均数: h: B2 j* {7 A6 ~ r2 o0 S" k
Half-life, 半衰期
+ \6 G9 n# W& w$ b1 jHampel M-estimators, 汉佩尔M估计量
' K/ a* P; [& l* E7 F ~" MHappenstance, 偶然事件
9 q- e4 m( Q" W. {/ NHarmonic mean, 调和均数
# J, w' M/ ~& CHazard function, 风险均数3 x0 \7 k# b7 M
Hazard rate, 风险率5 ~( [, v2 c% r- C7 B
Heading, 标目
4 _8 W1 z: W3 W3 `( vHeavy-tailed distribution, 重尾分布
7 z8 P5 k9 [# ~5 }# x2 E5 MHessian array, 海森立体阵9 R4 n4 r G* g+ P0 V& z, `: f- a
Heterogeneity, 不同质 D& c& U8 y) G4 Y# T3 f
Heterogeneity of variance, 方差不齐 5 c! \" z0 _+ L, d4 T0 m2 z/ V
Hierarchical classification, 组内分组9 l6 k4 A0 K) G5 `5 z
Hierarchical clustering method, 系统聚类法2 f( O6 [% d1 n, I1 s3 ~2 f6 f: E# `& v
High-leverage point, 高杠杆率点. e% j% a* x% ^! X- X/ J8 R
HILOGLINEAR, 多维列联表的层次对数线性模型9 T7 V7 n( [0 y3 c. |
Hinge, 折叶点
; Q* I6 C3 A1 t5 G7 O4 pHistogram, 直方图+ @. m( c3 v. y$ T$ k
Historical cohort study, 历史性队列研究 0 ^( G3 r Y K
Holes, 空洞+ C L A$ W% b7 u! R
HOMALS, 多重响应分析
% Z1 I& u; t+ `1 {: lHomogeneity of variance, 方差齐性
! J$ G& S E# H0 a+ S4 h3 |8 Y* NHomogeneity test, 齐性检验
1 U" @- G0 E: D* i. l! Y! v* oHuber M-estimators, 休伯M估计量
- v H1 \6 h+ v1 GHyperbola, 双曲线2 M9 x" n/ `6 E$ t2 }
Hypothesis testing, 假设检验& p3 F( T9 M( |0 D! ~, m
Hypothetical universe, 假设总体0 ~% M5 E8 s6 `
Impossible event, 不可能事件
: Q. x+ b3 \. z% U X3 `# S9 sIndependence, 独立性$ Q" a. m' E8 n% g
Independent variable, 自变量
J- K# A# v6 H, ?% fIndex, 指标/指数
+ z' _8 _& k. q9 H. tIndirect standardization, 间接标准化法, `; k, @1 H, ^
Individual, 个体2 G" _0 U5 y. C# [5 S; P
Inference band, 推断带0 l6 F, l7 G* @7 R+ N+ ]
Infinite population, 无限总体" g, ~6 X: V" f' _* m
Infinitely great, 无穷大" B; t% v1 F3 y
Infinitely small, 无穷小
- o2 m3 H4 [( E/ S, i4 P' X. t( iInfluence curve, 影响曲线8 I8 G. x0 \0 x4 c, g0 k( v
Information capacity, 信息容量
& Y( \4 }" a( ]* LInitial condition, 初始条件
1 Y( K- K( I2 P6 ]" ^Initial estimate, 初始估计值
1 R# H2 O! q: b3 UInitial level, 最初水平# b9 t. Z/ M& Q
Interaction, 交互作用9 m4 B* {! m5 ^0 A4 z
Interaction terms, 交互作用项) B7 [$ S0 Z, f5 R/ b6 v
Intercept, 截距1 L1 Y+ m* R f; q, o( d
Interpolation, 内插法; d" b; z3 T: ]; g
Interquartile range, 四分位距
5 _7 J* q$ g! s$ O, \Interval estimation, 区间估计. z8 X$ I1 H/ }8 S: R$ Z) I
Intervals of equal probability, 等概率区间
9 \8 t7 S0 @# B# t$ W8 I' pIntrinsic curvature, 固有曲率
5 `! Y2 @; E8 R% s8 e8 WInvariance, 不变性
- u8 t6 b; c7 I* i+ F3 b7 s& UInverse matrix, 逆矩阵
$ |; A% N7 K3 e7 e9 b) U3 t. aInverse probability, 逆概率3 q7 y1 n I, i) P# E
Inverse sine transformation, 反正弦变换
6 z- y1 v5 J, ]# D% kIteration, 迭代 " }9 F7 j# f6 F' Q3 |% j3 `6 S
Jacobian determinant, 雅可比行列式0 |+ c% Q; n! Z
Joint distribution function, 分布函数
1 O6 _' V; R$ i7 {% {. J( NJoint probability, 联合概率4 w( y. o4 n: b! f+ r" w% A4 j
Joint probability distribution, 联合概率分布
% X+ x* K( O7 U: `3 X& {" t$ Y( bK means method, 逐步聚类法
: u, w2 W" a4 S0 y1 q- h7 QKaplan-Meier, 评估事件的时间长度
/ S+ ?4 H; M1 R2 M" j( qKaplan-Merier chart, Kaplan-Merier图
6 r% D, j u' ^1 _$ K! i& kKendall's rank correlation, Kendall等级相关0 L+ T% W# f, R% z# ^4 b' m0 I3 x, T
Kinetic, 动力学* O3 H. _+ p' K1 E
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验# b3 }5 P7 R/ _ Z- j$ k$ \3 _! ~
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验' {0 m, m% o& Q
Kurtosis, 峰度
, x( }# x5 I! ]9 R' C, Q+ ~Lack of fit, 失拟
6 G( T: j7 p, c9 eLadder of powers, 幂阶梯5 r0 R- D! x' i: K
Lag, 滞后
# a4 c7 a; e& A5 R: w6 r$ C2 ~7 wLarge sample, 大样本 T q7 x% _7 m( y
Large sample test, 大样本检验( W, P1 c- M$ \; M6 ~0 g
Latin square, 拉丁方* t* P, Y J1 V6 [2 ~
Latin square design, 拉丁方设计$ s \; {( ]0 b
Leakage, 泄漏3 F& s" |% L2 @/ n7 k
Least favorable configuration, 最不利构形
_( o7 Y( X! b0 h7 OLeast favorable distribution, 最不利分布# i* A( k& H# B
Least significant difference, 最小显著差法
1 z! a' m$ X# ] [Least square method, 最小二乘法
4 E1 t p0 i. ~- C' y4 Q5 BLeast-absolute-residuals estimates, 最小绝对残差估计
! I" z$ p. J5 O/ W- @4 eLeast-absolute-residuals fit, 最小绝对残差拟合) d9 {/ P5 c- o* u
Least-absolute-residuals line, 最小绝对残差线$ i- s1 w4 B+ H' O
Legend, 图例8 i+ |6 K1 }2 k, {
L-estimator, L估计量$ U( x6 L8 N! `
L-estimator of location, 位置L估计量
' g. t( e+ m* _/ Q! SL-estimator of scale, 尺度L估计量% g+ Z- z) w$ M9 c( ]; `6 T& j! {
Level, 水平
1 |, r3 L% ^& z4 BLife expectance, 预期期望寿命
5 m" c ?! @$ XLife table, 寿命表. {$ ^% x" c) x3 h& H
Life table method, 生命表法" F' b/ C% [6 q% _, J4 e
Light-tailed distribution, 轻尾分布
K# ]( O9 l5 m0 L* LLikelihood function, 似然函数! w9 @, M1 J1 H0 i
Likelihood ratio, 似然比- v1 z. X s; g' p2 k
line graph, 线图8 d7 V$ e' _7 | N8 ^8 x
Linear correlation, 直线相关
# Q7 `$ ?( [" H. X. YLinear equation, 线性方程
- ]% s3 ^8 H9 L2 C0 o1 zLinear programming, 线性规划/ N/ Z& g. K% P; _% S
Linear regression, 直线回归7 U; M, k1 a; `5 L9 {: i W, n
Linear Regression, 线性回归
. K J7 c; y/ m5 tLinear trend, 线性趋势" B0 K+ U5 |. f/ B6 Y
Loading, 载荷
& ?5 n7 `$ Z# M4 G9 A- U3 h9 ` @2 GLocation and scale equivariance, 位置尺度同变性3 N& {6 c- {4 {" E( D B
Location equivariance, 位置同变性
8 v8 q- |% R: HLocation invariance, 位置不变性! q' u* } Z9 n( ^
Location scale family, 位置尺度族
! D* o, I6 S( q. v x( r2 TLog rank test, 时序检验 % H+ J/ h' r5 T6 E6 I6 T
Logarithmic curve, 对数曲线8 B3 P* |5 ]% F0 c. z0 _
Logarithmic normal distribution, 对数正态分布" M$ v U" {: T" \, |& p
Logarithmic scale, 对数尺度# T! f p/ ^# J* s
Logarithmic transformation, 对数变换
0 m& U( H; F6 P) y$ CLogic check, 逻辑检查/ i4 E; x1 |4 _
Logistic distribution, 逻辑斯特分布" A8 s* `8 t& L5 e( i
Logit transformation, Logit转换
7 r2 }4 B4 G/ K( D1 y- Y4 DLOGLINEAR, 多维列联表通用模型 ! o) y( K9 ^' X
Lognormal distribution, 对数正态分布
3 N2 R/ }% r& F6 r# b) O* @Lost function, 损失函数
" h8 l" |$ I* _* x4 ^9 F" vLow correlation, 低度相关
) T- d: A9 I! Q. \; x: ?2 qLower limit, 下限# r( Y. C0 b2 h. I
Lowest-attained variance, 最小可达方差
1 \' P; u* B$ b2 S4 r9 yLSD, 最小显著差法的简称
, l& n( S0 b: L* V$ M0 n4 zLurking variable, 潜在变量+ r% ~3 ~1 B4 W0 \+ R) t$ V
Main effect, 主效应8 z5 `6 i; q0 x/ }$ s
Major heading, 主辞标目5 S4 @ r& j1 T4 A g5 F" }
Marginal density function, 边缘密度函数
1 }3 Y/ K( B3 P& S' o4 QMarginal probability, 边缘概率
6 B7 g- b- T+ }3 k: tMarginal probability distribution, 边缘概率分布
- V) M- b3 G$ V( L# X3 HMatched data, 配对资料5 Q6 L1 b' j3 J2 |7 E9 P1 Z" @) w
Matched distribution, 匹配过分布
) U8 J& I K# s& {! a, pMatching of distribution, 分布的匹配' F+ ^+ w! b3 `) |/ A: t1 f
Matching of transformation, 变换的匹配
5 k2 ?. a& W3 N/ YMathematical expectation, 数学期望
+ ~4 z3 `5 X6 e% }4 _5 ~Mathematical model, 数学模型
# g' [! Q( a6 C, V0 t# JMaximum L-estimator, 极大极小L 估计量
/ ~; f2 }: e3 j) {% @* K |! DMaximum likelihood method, 最大似然法# t1 E: n: @; u
Mean, 均数
6 S$ h8 C* Z0 [% e3 DMean squares between groups, 组间均方/ }4 o6 ]% G9 p( M% l6 k* F4 }+ O( W
Mean squares within group, 组内均方7 |$ v5 v* c, }' U
Means (Compare means), 均值-均值比较
. S! N& J$ [- F' yMedian, 中位数
1 D$ D$ X* J6 vMedian effective dose, 半数效量
5 B! j2 ?, m1 ~. @, B qMedian lethal dose, 半数致死量1 ]. {, ?8 p2 y. ^
Median polish, 中位数平滑
& X6 s' R; }8 c) z, sMedian test, 中位数检验" \; |& s, a6 o& C/ c
Minimal sufficient statistic, 最小充分统计量5 @- m$ w5 h p" f
Minimum distance estimation, 最小距离估计
$ c# r4 {7 n) BMinimum effective dose, 最小有效量
2 c; x; p# z7 Z6 b% p$ OMinimum lethal dose, 最小致死量
( m: U) R" q8 OMinimum variance estimator, 最小方差估计量
( i8 C4 ]( S: E/ n$ }1 nMINITAB, 统计软件包
- x ^: D1 B, t) v+ e6 l; VMinor heading, 宾词标目
' j/ i$ h/ h% D! H1 }! YMissing data, 缺失值1 d: X6 B1 _2 b; \
Model specification, 模型的确定9 x% x. x$ P0 C1 C6 Z
Modeling Statistics , 模型统计
. U; L7 R: H' Y/ q% r, E8 F6 |. UModels for outliers, 离群值模型& E2 p$ F5 o3 b' H; _! P, G2 y
Modifying the model, 模型的修正
# d, l" w3 V4 }: BModulus of continuity, 连续性模* {0 K7 {1 I# ]4 J: q
Morbidity, 发病率
0 V0 P! V6 V; D9 iMost favorable configuration, 最有利构形
$ v; p/ s n* OMultidimensional Scaling (ASCAL), 多维尺度/多维标度1 E/ P3 ~$ _: O4 W U' j
Multinomial Logistic Regression , 多项逻辑斯蒂回归- K& d5 [/ w/ K2 o6 {8 i
Multiple comparison, 多重比较
) {% f9 t* A* P E$ |# X8 d7 V6 WMultiple correlation , 复相关
1 P: z) D- B/ a4 y2 @Multiple covariance, 多元协方差$ r; o6 X/ o/ o6 V7 C/ q
Multiple linear regression, 多元线性回归5 H* V+ ]' d8 f2 @2 {8 c5 ?0 h
Multiple response , 多重选项
4 e$ {! k$ @9 j% f, KMultiple solutions, 多解; l! k& p4 \# w" v+ y, r
Multiplication theorem, 乘法定理! q1 g7 Z3 v7 m& f' m0 t
Multiresponse, 多元响应" H( Y0 j0 u5 I# u# s4 s
Multi-stage sampling, 多阶段抽样
: d, [5 R2 J& {+ G$ wMultivariate T distribution, 多元T分布/ ?; E+ x: |6 N( V; K! c
Mutual exclusive, 互不相容' l+ K, ~! J* _5 `5 d% P
Mutual independence, 互相独立( U+ s( G0 T4 u# [' [, U
Natural boundary, 自然边界! K! @( w: ?" ~2 b# j: P
Natural dead, 自然死亡
! A# {7 d! Z2 `; L+ Q% R" [Natural zero, 自然零
+ d7 E, u8 N: X8 dNegative correlation, 负相关' `- j. G; T; A. ^, C
Negative linear correlation, 负线性相关
7 y p# w) c( v; {Negatively skewed, 负偏( e- q! G8 i' W
Newman-Keuls method, q检验
* v# {3 l( y/ z" c5 I0 L$ MNK method, q检验9 \! D0 z' P3 [' c1 t
No statistical significance, 无统计意义
+ w, }8 Z* V3 c% J# Z% ONominal variable, 名义变量3 h) @0 h1 c4 ?! N0 ~1 I8 y2 y- }
Nonconstancy of variability, 变异的非定常性2 P6 t, h! k: `& [
Nonlinear regression, 非线性相关
4 K; l) D' c. M7 |' M: ], H" dNonparametric statistics, 非参数统计
4 o& d) a1 r6 vNonparametric test, 非参数检验
* r$ n5 ?; _1 e1 I) U6 [2 gNonparametric tests, 非参数检验
! R5 N4 |9 I# {$ N7 ANormal deviate, 正态离差) S, v" z! {9 J; f2 t- K; B
Normal distribution, 正态分布
0 t" S( w" n$ {4 U3 uNormal equation, 正规方程组. o! U& {' L: `5 O. G
Normal ranges, 正常范围
, P r+ D1 W7 ]' [: GNormal value, 正常值
@2 a5 |: W3 g l1 p7 C, H5 Q1 iNuisance parameter, 多余参数/讨厌参数
2 Z! b9 ~ c N& GNull hypothesis, 无效假设
2 _) c+ {9 ^' s r) `' zNumerical variable, 数值变量' N- m J2 M' R/ `, v+ t
Objective function, 目标函数
9 S6 r- o: q! j* P# `Observation unit, 观察单位- F% H% x# |2 l- i7 f
Observed value, 观察值
& S, p9 Y, n8 x- o, c1 kOne sided test, 单侧检验0 |6 h" c+ r/ i$ s
One-way analysis of variance, 单因素方差分析
( E2 Y3 I9 q {& @0 O* g" iOneway ANOVA , 单因素方差分析
/ P* j p5 F6 |, I1 S8 E7 aOpen sequential trial, 开放型序贯设计
- Y- u# C1 b; G8 r; zOptrim, 优切尾
: N+ }: p$ ~% zOptrim efficiency, 优切尾效率* ]4 s) k- K# T4 y
Order statistics, 顺序统计量
! x6 o. |& x' } o5 G- @1 @1 f# @6 ^Ordered categories, 有序分类! p i- r3 Y! K G1 p; M5 C
Ordinal logistic regression , 序数逻辑斯蒂回归
/ ~4 G" d( e( O# |Ordinal variable, 有序变量
. i3 b A8 W: B A" V+ E6 dOrthogonal basis, 正交基
0 i( x. A' Q1 L9 iOrthogonal design, 正交试验设计
* g/ I* I/ F+ z: _! eOrthogonality conditions, 正交条件
) |* V+ Q3 ]* w$ D6 VORTHOPLAN, 正交设计 ; ^* r2 p% j* |4 A# U1 r2 X7 }
Outlier cutoffs, 离群值截断点
- w- d2 T* k7 d7 A3 ]2 y) gOutliers, 极端值
' F8 ^; J1 r4 ^OVERALS , 多组变量的非线性正规相关
" L2 M2 A* @: W3 ROvershoot, 迭代过度
3 I9 Z6 U( k. s6 P4 Q: A5 |Paired design, 配对设计0 f0 q' e! p% H+ h$ j/ R8 E+ O: Z3 f
Paired sample, 配对样本, d1 k4 i) x- ?2 e, T
Pairwise slopes, 成对斜率; h, t: L. E7 M) l/ k! r r/ x5 c+ H
Parabola, 抛物线
4 N* K# w4 u% _; ^Parallel tests, 平行试验
2 H! K: u7 U* g9 s; u0 Z' qParameter, 参数
. s- y; O5 l# S' ^; }6 \Parametric statistics, 参数统计
$ j7 o/ I) B& N. i4 DParametric test, 参数检验% A0 t8 I% z% l! E9 U* }
Partial correlation, 偏相关
6 D& J" b: ]( {4 ^/ Z& ]Partial regression, 偏回归/ ]: @3 e1 h( t3 o- i% Y' z3 w+ u
Partial sorting, 偏排序2 \2 O, t# `# V5 Z' z+ U& D( y
Partials residuals, 偏残差
. s7 A1 O: a) q% Y7 b1 N2 WPattern, 模式4 W7 z; J; U3 N2 ^% W* K" Q% R" k
Pearson curves, 皮尔逊曲线. v3 O0 V2 f m: r' O
Peeling, 退层% w2 K6 r8 n+ b7 M" `7 s0 I4 E( ^
Percent bar graph, 百分条形图$ Q' {& W* N* s4 w! o% P( Y+ {4 G
Percentage, 百分比
/ v- r2 S$ X$ \Percentile, 百分位数2 P, p& ?5 o2 B0 U5 Y* E4 s" d
Percentile curves, 百分位曲线
, h6 i. x' Y u6 zPeriodicity, 周期性1 n1 p* e3 m5 p8 @. ?) N7 x7 I8 i
Permutation, 排列
9 u$ s! P, \' W& U- q. T9 x1 p# JP-estimator, P估计量
/ l9 M9 F7 z, V9 C5 C mPie graph, 饼图
5 ?. } d! [9 O5 kPitman estimator, 皮特曼估计量
8 c4 o* W9 {% O0 PPivot, 枢轴量& D: }) \0 \9 h+ D
Planar, 平坦: C* Z% s! m1 g7 I. \
Planar assumption, 平面的假设0 A5 i: N& K% }( x# E
PLANCARDS, 生成试验的计划卡' L! C1 b5 o- x" f+ F7 C c
Point estimation, 点估计2 J3 q& q/ O9 U6 ~+ S, S, U
Poisson distribution, 泊松分布
E) d, O% y) |- j. J6 M4 kPolishing, 平滑2 l9 f9 a0 C/ D. c4 Q9 G
Polled standard deviation, 合并标准差3 y7 u& L5 u* G4 P
Polled variance, 合并方差
# O# q; h+ p$ _5 _: {, ]Polygon, 多边图% }5 P+ h- b* q9 _6 ]- d0 S1 R
Polynomial, 多项式
$ k) y8 {6 Q2 F8 dPolynomial curve, 多项式曲线
) B( f" x1 z0 V' z; GPopulation, 总体/ K' n- F8 W& C8 [
Population attributable risk, 人群归因危险度
/ t4 f3 c* ]0 }) L: k7 |/ jPositive correlation, 正相关$ f! C5 ^! Y( q/ b8 X( N/ e
Positively skewed, 正偏# b; ]( e# V/ m
Posterior distribution, 后验分布
- m1 ]6 k, Z- }# d6 ^, ?Power of a test, 检验效能% W( m* i) G2 B. ?0 o; p
Precision, 精密度
[; _! p4 S( w+ P" a8 kPredicted value, 预测值
/ `) \0 M2 `0 k" \Preliminary analysis, 预备性分析
1 ~1 G; D; P. E+ lPrincipal component analysis, 主成分分析1 k7 Q! ]8 q" ^2 L: H: R! x
Prior distribution, 先验分布
* J8 `1 m# h: Q2 {: qPrior probability, 先验概率
4 _4 Z0 I+ v$ Y+ f; \* g5 [ HProbabilistic model, 概率模型
" s1 t* o. a5 ^: E) Eprobability, 概率$ @ X' I4 P) F% M! b. c" s
Probability density, 概率密度
, D H6 G% i$ w) J& s+ H/ C( FProduct moment, 乘积矩/协方差: z. k% p! w0 E
Profile trace, 截面迹图% t5 Y: n% G) R% A- T X
Proportion, 比/构成比7 Y" ^7 V* w: m0 b; g
Proportion allocation in stratified random sampling, 按比例分层随机抽样
+ a5 z2 S, e% O6 y5 E) nProportionate, 成比例
3 W& c ~, ^4 X: E/ P: ]Proportionate sub-class numbers, 成比例次级组含量6 F( n. x: M5 e' {3 _# f0 |) j' l
Prospective study, 前瞻性调查5 Q g& J: a) h8 \9 l
Proximities, 亲近性 9 J7 }) a! I1 R. r0 N
Pseudo F test, 近似F检验
- j6 x1 Y: J6 r( ~$ P) yPseudo model, 近似模型2 t( Y4 J3 n5 g
Pseudosigma, 伪标准差/ _- {+ I7 F+ B9 @" A" F2 ?( B( r
Purposive sampling, 有目的抽样* G) Z9 P# x( ]- i$ \
QR decomposition, QR分解
+ M! e; S U3 ^# h8 @( KQuadratic approximation, 二次近似! ~ Z- T$ c9 M `4 | N
Qualitative classification, 属性分类: Q+ G( j& Q3 t$ R7 E L
Qualitative method, 定性方法+ o! L& U+ f L3 ^2 r; P
Quantile-quantile plot, 分位数-分位数图/Q-Q图
* I3 ]5 O; F( x) y, ZQuantitative analysis, 定量分析6 G# `) V) P) H* {3 k: f( p
Quartile, 四分位数* z& M* F2 m! W# F6 }' I* F, R
Quick Cluster, 快速聚类1 j8 L7 O2 y, u7 e0 m
Radix sort, 基数排序& E, t' O% a8 l2 M8 W& b8 s
Random allocation, 随机化分组
" y- v% j7 @: \7 n2 {7 pRandom blocks design, 随机区组设计
( `1 o1 k; a, X; V: l' N, ~4 ERandom event, 随机事件
! @5 _3 p+ q. S: W8 t$ u6 eRandomization, 随机化
+ t( w% Z7 M6 yRange, 极差/全距
+ v4 v; O1 A9 V3 CRank correlation, 等级相关
3 m5 s% |/ P& t7 \: d8 P; |$ ]% ~& |Rank sum test, 秩和检验; [- J" x" j, r+ z% [/ F0 l, U z
Rank test, 秩检验# [3 C9 N! _) x) W
Ranked data, 等级资料
) D* ]7 X5 o1 r _Rate, 比率/ c$ c+ N. l! D- C
Ratio, 比例2 Y- B% e# H. e) ^) \# [8 P
Raw data, 原始资料, l7 f* i" l' G! Z' }5 m$ H9 h
Raw residual, 原始残差
4 R. D/ k6 U$ |: x) a7 mRayleigh's test, 雷氏检验
, M0 ^& Q: D2 s0 y* Z. k9 IRayleigh's Z, 雷氏Z值
! F0 L( \- {" G# Q" |+ \! j. M7 IReciprocal, 倒数) _( ]& ~ J% v* s
Reciprocal transformation, 倒数变换/ O3 h5 {" J7 W. r& G. r1 C
Recording, 记录
; u* q& y% W: K- mRedescending estimators, 回降估计量: W6 n M: a* w8 x+ H
Reducing dimensions, 降维' b- E* M! w } X- `
Re-expression, 重新表达
0 F# u8 T8 a! ~Reference set, 标准组( h9 @1 ]% j5 S* F4 c; _9 S* a
Region of acceptance, 接受域2 E, S k8 U' O7 x, k" N! v
Regression coefficient, 回归系数) I+ D# V) Y" g4 X# O' d8 p. Q
Regression sum of square, 回归平方和
/ a6 H# ~5 z9 ?) G0 mRejection point, 拒绝点9 x3 v3 s$ K* K* R. G# I6 s
Relative dispersion, 相对离散度 @/ C' ~# d5 p; v7 g
Relative number, 相对数: K/ E. v, J4 T- x( W' @
Reliability, 可靠性7 ?8 X* ]. f; o+ i
Reparametrization, 重新设置参数
% q. t s2 Z: p; X" s' xReplication, 重复( v1 E0 T, w: H4 t- d; o2 q0 `
Report Summaries, 报告摘要! v. }5 p |/ i
Residual sum of square, 剩余平方和
$ T; Y v7 {- hResistance, 耐抗性1 {* Q; ?6 D1 Y0 S4 Y& Y# X8 @$ c" r
Resistant line, 耐抗线
& E$ w0 q" o% g& L+ X/ LResistant technique, 耐抗技术
4 u. w4 ^% U+ Y' V6 H8 fR-estimator of location, 位置R估计量
# T2 V- D; a( f& [R-estimator of scale, 尺度R估计量( G9 A: j2 e8 O" O: U! x
Retrospective study, 回顾性调查
$ G6 p4 s4 q3 ]: O$ R* bRidge trace, 岭迹; n" ]+ r1 K& X1 N* l
Ridit analysis, Ridit分析
* }+ a2 U: U. E6 m/ g, {) HRotation, 旋转
( G: b3 K7 m/ ^7 D6 \Rounding, 舍入$ p* ~" t8 a) d' w1 V
Row, 行
% n/ v7 o$ O- a. h% @3 lRow effects, 行效应
( R" `. t+ u* A+ h9 cRow factor, 行因素
- B4 z3 S( w& h& S6 j! NRXC table, RXC表# k, w8 c( W4 \7 S# `# C2 j8 { k$ m
Sample, 样本# I6 x# l2 p$ y2 _
Sample regression coefficient, 样本回归系数- Q2 A4 H. R, D4 B
Sample size, 样本量: S- R. A4 J7 W/ G- \3 m- |
Sample standard deviation, 样本标准差4 H) C; n. f, L4 j/ d
Sampling error, 抽样误差
2 P2 l% Y1 W. Z& k& ~! f! H, ESAS(Statistical analysis system ), SAS统计软件包: p4 X l" P7 z* M! G g8 ]6 N) e" N. K
Scale, 尺度/量表) x0 B o. i% |1 T- Y7 \
Scatter diagram, 散点图
E( p& q7 S! X2 k. h$ C3 z( V% {: S4 {Schematic plot, 示意图/简图# E& t2 m7 h2 }0 @" G8 m
Score test, 计分检验4 Y0 T8 ^! u! S. u! ^* ^' H" s- x" [
Screening, 筛检
: [% v" T1 y: M. G+ vSEASON, 季节分析 0 A& j, D7 W7 s4 Y. D0 g8 m4 E/ J: }
Second derivative, 二阶导数& ?; c# y% H% o B( m! e" G, r
Second principal component, 第二主成分# {. R7 v. P" D; d
SEM (Structural equation modeling), 结构化方程模型
; R; {; }5 Z- J3 jSemi-logarithmic graph, 半对数图; s1 Q1 r, Z+ H. x
Semi-logarithmic paper, 半对数格纸
$ r! r7 S0 o7 R, {* [9 iSensitivity curve, 敏感度曲线
& i0 r$ I1 H0 ?; f/ p0 M3 tSequential analysis, 贯序分析
8 `' ~& b) M( p5 ?( |Sequential data set, 顺序数据集 F# O, y1 j) M3 b
Sequential design, 贯序设计
( D& v# M" U4 {Sequential method, 贯序法8 R: L g6 \2 J" G4 G
Sequential test, 贯序检验法4 f) |9 j9 e+ |3 s) P, n& R
Serial tests, 系列试验
2 `% p% p* j; E T6 \. P. KShort-cut method, 简捷法 5 k3 S' H1 T. a2 l9 J' @$ S
Sigmoid curve, S形曲线5 ?$ \7 Q; [* w' @5 w1 U" k8 A: X U
Sign function, 正负号函数5 K* C' V' |' K: N
Sign test, 符号检验$ u5 k3 g9 r5 U; l5 a) d1 U' h
Signed rank, 符号秩
: e" W8 }& \* }9 s/ I/ |5 hSignificance test, 显著性检验
$ I( h$ @* q dSignificant figure, 有效数字' Q; Q' K4 r1 P8 O) n
Simple cluster sampling, 简单整群抽样# P) T1 z( M( A* z/ Y
Simple correlation, 简单相关/ O8 g C" p6 k
Simple random sampling, 简单随机抽样
; i- \& o" p% t9 A* \1 iSimple regression, 简单回归
0 r Q5 l- _" k' ?" K9 Msimple table, 简单表
! G7 t8 t- n& N0 Y& B1 f* aSine estimator, 正弦估计量: |0 y* c- c$ I- S9 k; t! @$ O
Single-valued estimate, 单值估计) Z% t8 f2 X: W
Singular matrix, 奇异矩阵
$ r% \# v8 F- c% C lSkewed distribution, 偏斜分布
7 B) |- o! i! U3 n8 L* |4 `8 |Skewness, 偏度
1 v! F6 n! J- J+ `; o* H- p* lSlash distribution, 斜线分布, h H7 h6 t9 S+ a) U
Slope, 斜率" l% m9 B0 v8 I6 K6 S5 E0 N5 I7 k8 e
Smirnov test, 斯米尔诺夫检验
9 G4 s, v0 ?/ [4 r9 iSource of variation, 变异来源
4 v( N+ w+ ^5 ^+ Z# U- GSpearman rank correlation, 斯皮尔曼等级相关
2 ?' y" {0 R6 G* }, ?Specific factor, 特殊因子
4 K" n- o2 n9 L& pSpecific factor variance, 特殊因子方差1 O9 [3 v' V Y$ w0 ~
Spectra , 频谱
: m' `/ M* E6 Q( V9 BSpherical distribution, 球型正态分布
- h+ v' i; i0 R* z* D( w% qSpread, 展布7 y; v+ o+ [/ D# s
SPSS(Statistical package for the social science), SPSS统计软件包" A. B& {5 t+ e4 s- W$ _
Spurious correlation, 假性相关4 B, Z/ @( Y0 W" ?( }
Square root transformation, 平方根变换
1 L5 X/ {- [! q# T& t* |Stabilizing variance, 稳定方差
. H3 _. g! E8 i9 E% bStandard deviation, 标准差, u6 p6 {" D: U4 ~# G: Y- n* t
Standard error, 标准误
8 [% [; D! F6 _0 t( aStandard error of difference, 差别的标准误
+ F9 E4 u9 b+ EStandard error of estimate, 标准估计误差% r$ H R4 s3 C
Standard error of rate, 率的标准误
# ^) A/ l3 e' K9 P* ~Standard normal distribution, 标准正态分布
$ L" X: Q0 v5 z1 g; nStandardization, 标准化/ t( r: q" o: D8 Z7 B3 ~+ `
Starting value, 起始值
8 k- ]. d: l }8 X' O& [- K% RStatistic, 统计量, q9 X: ~0 q" a5 I# X1 z8 Q0 {
Statistical control, 统计控制2 ?1 t u, J$ A' u, k8 U9 j
Statistical graph, 统计图1 N- ~8 L! I+ w" Q) Y, b! W
Statistical inference, 统计推断
+ d1 U! D8 s& \: N( ]& a: oStatistical table, 统计表
- [( U( X+ A% H( J. ^Steepest descent, 最速下降法8 F6 a9 N/ h! d, q& R$ A
Stem and leaf display, 茎叶图
$ d" m7 E0 |' C# GStep factor, 步长因子$ r3 C$ }2 s' \0 Q
Stepwise regression, 逐步回归( h1 f, l6 M+ f: x4 r
Storage, 存
% o; ]) K, w& w8 }! qStrata, 层（复数）
: j2 Z n& |+ ^, v; bStratified sampling, 分层抽样
7 m3 O+ U7 ^* I9 q; CStratified sampling, 分层抽样
$ ?6 q0 d, G8 o# oStrength, 强度0 p9 h2 T+ Q. R" D
Stringency, 严密性
' B. i1 a, }- }8 D& R2 rStructural relationship, 结构关系
! ^' \" |% A8 x" n, xStudentized residual, 学生化残差/t化残差
" n% _, M5 Q6 T5 GSub-class numbers, 次级组含量
" m/ i; `7 p& z' p) E' eSubdividing, 分割
3 d0 Z' _# I. \8 R; YSufficient statistic, 充分统计量
. _5 H* V6 |+ V, uSum of products, 积和6 v' B& D" J2 c: C U# }
Sum of squares, 离差平方和" B) r4 ?% ?' i8 b9 N1 M- _; z: h
Sum of squares about regression, 回归平方和
) I- c- a9 }, B4 QSum of squares between groups, 组间平方和
& U% F! f( } U) z. }3 _. G( rSum of squares of partial regression, 偏回归平方和* w. y1 M, Z7 y1 Y" ~) U
Sure event, 必然事件5 w) H2 n& l* G3 m. W- Z) _+ L
Survey, 调查& S# ~: S' u' Z6 r' M7 K# D
Survival, 生存分析
! V0 F( y" G7 Z$ ^# ?1 @8 hSurvival rate, 生存率
; J7 `6 z9 c5 q# t# I0 y$ m, ^) @5 _Suspended root gram, 悬吊根图
& s1 @) F5 {7 ?Symmetry, 对称
- ?6 t Z) X( M p" v8 G# k. G zSystematic error, 系统误差! Y! d% y- x/ @3 U3 ~! Q
Systematic sampling, 系统抽样
# ] k, q* }; H' V4 p+ d9 @Tags, 标签: P, i( n; L+ [0 ^- x* d
Tail area, 尾部面积4 i; ?, O/ d& G6 D2 c8 }
Tail length, 尾长
* D9 S8 C9 ?0 |Tail weight, 尾重
: U( B) O: c STangent line, 切线. ^# B( U' E8 f3 c; l
Target distribution, 目标分布
7 \. x% |/ s* x; E D& PTaylor series, 泰勒级数2 b T6 ~3 O# v# X) x
Tendency of dispersion, 离散趋势
2 W( s0 c/ K9 b- U! DTesting of hypotheses, 假设检验
- f2 I z W# c. F6 S& cTheoretical frequency, 理论频数
" g1 ]7 |5 S! j: H8 a1 KTime series, 时间序列) K1 e. A) n6 L& ^
Tolerance interval, 容忍区间) ?% u% ?4 j* c0 ^
Tolerance lower limit, 容忍下限
* }7 {6 `, ?: i) a3 g( {" DTolerance upper limit, 容忍上限
5 k8 l: `( _/ b5 W0 {9 o( F1 g4 qTorsion, 扰率
/ O. i1 a! ?1 y% R' y; \' JTotal sum of square, 总平方和
) f* L, F% v# L7 `2 GTotal variation, 总变异$ D; N& E( n, k# m( {
Transformation, 转换4 ~# F8 R1 U9 D! \6 O+ c
Treatment, 处理, p1 T4 ^$ o) Q
Trend, 趋势7 E& F$ @ u0 ?+ [( _' ~
Trend of percentage, 百分比趋势
D0 q9 s V8 c% @7 UTrial, 试验
4 N) U. ?; _* C% U1 j( j5 GTrial and error method, 试错法
1 j6 c: |# T' ~9 L' F' `Tuning constant, 细调常数
! z5 Y: c# s9 t- ITwo sided test, 双向检验
+ e5 x1 ~7 }; Q! ^) s: nTwo-stage least squares, 二阶最小平方
7 F2 k, B s4 }2 b0 UTwo-stage sampling, 二阶段抽样
" v4 l! S" d J2 qTwo-tailed test, 双侧检验
3 T- Z( k" F( K$ XTwo-way analysis of variance, 双因素方差分析
; W) Y) m, i( q2 s' v9 CTwo-way table, 双向表+ R, H ^$ u4 b" c. j
Type I error, 一类错误/α错误% d( `7 Q9 g0 p( u- B0 z
Type II error, 二类错误/β错误
7 Q- c4 X/ T" W* G; @2 G! o8 xUMVU, 方差一致最小无偏估计简称
9 }0 {) F! {, N* q, b; V9 xUnbiased estimate, 无偏估计
6 y9 s6 A" d3 q; {. k8 V3 Q" _' ~' ^1 eUnconstrained nonlinear regression , 无约束非线性回归, p, x+ F, U6 L- F( [& u
Unequal subclass number, 不等次级组含量
3 T3 L; }% S: ^6 ZUngrouped data, 不分组资料
' I3 S n& L' b& s5 @9 DUniform coordinate, 均匀坐标; l5 D- q3 K# @2 h
Uniform distribution, 均匀分布
# p2 a0 M7 x5 o0 A0 S4 l" F" }Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
% D& w3 Y- S5 j9 w* D; fUnit, 单元$ g4 S4 | f5 f' ~+ t# e1 ?
Unordered categories, 无序分类
5 g- v3 i$ }4 b" n0 u; x7 AUpper limit, 上限7 w8 q$ R+ h" @; \5 j1 z0 E
Upward rank, 升秩" Y+ ^: W+ E" M
Vague concept, 模糊概念
# u; Z) m6 a( D+ A1 uValidity, 有效性
# {7 d! M% }2 T3 B6 N w. s' L$ BVARCOMP (Variance component estimation), 方差元素估计* W, R6 H' k- {; ]2 h3 m, M
Variability, 变异性
/ I9 q. m( g! x! _9 O% J& EVariable, 变量4 V; ~! h3 E6 j4 w
Variance, 方差7 r' m: @( A1 i5 d9 B. G& ~
Variation, 变异
" r; m: s- a' I- c' a) ?Varimax orthogonal rotation, 方差最大正交旋转& Q% M& I7 \ N5 F; k( d) \
Volume of distribution, 容积" X% n" E v! s# g ^* l
W test, W检验
! t& K: R* z+ ~Weibull distribution, 威布尔分布" w) m o0 s$ M P) U3 A
Weight, 权数
! L f, \; v" I; fWeighted Chi-square test, 加权卡方检验/Cochran检验5 L4 b+ Y5 r+ q
Weighted linear regression method, 加权直线回归0 q7 s% M4 W; G: o: t# h, v3 [4 j
Weighted mean, 加权平均数) G* h/ t% S& w8 j
Weighted mean square, 加权平均方差
5 @$ \, f3 V* I9 t+ T! \! XWeighted sum of square, 加权平方和' z! I& [9 [+ l' n
Weighting coefficient, 权重系数
6 X# a7 U" n- ]Weighting method, 加权法
0 X8 o; K' d. q# P% L4 ?, lW-estimation, W估计量
3 N- ]! ^# W& K6 pW-estimation of location, 位置W估计量5 W6 y; v, s% z V
Width, 宽度# a! b$ Y6 ~! g+ G4 P
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
/ M" i; [7 e2 f% S0 N- mWild point, 野点/狂点
! j2 G5 N5 B2 t$ ?$ N: yWild value, 野值/狂值8 b3 r! q$ Q/ A q
Winsorized mean, 缩尾均值
' U, _2 R5 D; @8 D/ ]* K0 H4 f) SWithdraw, 失访
8 S w& P8 u8 V2 Q LYouden's index, 尤登指数
0 z! K9 v9 O4 A& G9 CZ test, Z检验9 I8 D; Q! k# v3 }
Zero correlation, 零相关' `/ I. G5 N2 l5 [: I
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
