|
|
Absolute deviation, 绝对离差
% @, B9 j+ J; K+ |3 U- |* A+ J" rAbsolute number, 绝对数
- o( d: C* W. H# H. TAbsolute residuals, 绝对残差
/ }! I; b, d9 ~* QAcceleration array, 加速度立体阵0 z* ~ d* W, P; z! t |" i. w* M
Acceleration in an arbitrary direction, 任意方向上的加速度
# S* J0 v4 y$ B1 t7 o, X, LAcceleration normal, 法向加速度
+ U w0 {: l% S9 VAcceleration space dimension, 加速度空间的维数( Z3 k9 O% Y. c. Q, {
Acceleration tangential, 切向加速度3 H' E5 ~+ @( a
Acceleration vector, 加速度向量" I4 ?1 ~2 f) J1 h( X
Acceptable hypothesis, 可接受假设
- d& ]( ~4 Y1 g) r7 m8 RAccumulation, 累积* S* ^3 I& [+ `$ E
Accuracy, 准确度
L! z1 J7 b5 u) h1 ?Actual frequency, 实际频数: }* {5 y& c, H( ?7 X
Adaptive estimator, 自适应估计量. z: L2 U" n+ I% L6 s) n' E
Addition, 相加
& J* `6 A% a, [2 B9 g6 o; V" LAddition theorem, 加法定理. Z7 w% {9 L5 {1 n' P, O
Additivity, 可加性; d/ Q/ V$ A4 ` G
Adjusted rate, 调整率9 H! j7 y$ q$ O3 e5 J6 i/ [" i* G V
Adjusted value, 校正值
$ ~) m, d& @4 k. NAdmissible error, 容许误差
+ @3 A+ C0 P' MAggregation, 聚集性; _9 P$ N# Y8 K
Alternative hypothesis, 备择假设
. U' w6 x3 ]( l4 U$ X) |# f( a- FAmong groups, 组间
5 ^( X( G* s8 T2 }5 z3 uAmounts, 总量/ W! o' {2 T8 u& v" E
Analysis of correlation, 相关分析- b ]- Q- E( G
Analysis of covariance, 协方差分析
; j% G+ z* P7 X& y R/ |Analysis of regression, 回归分析
1 l; k4 |) w: W, N6 h3 TAnalysis of time series, 时间序列分析! Y- U% t' v$ _4 z, J
Analysis of variance, 方差分析
1 O# F1 k+ D$ U/ v$ v% } NAngular transformation, 角转换2 {; ^& p. N& M3 s
ANOVA （analysis of variance）, 方差分析
8 v- T& ^2 R% IANOVA Models, 方差分析模型
$ _7 C& c& h7 v/ B' v! { Y4 vArcing, 弧/弧旋' x6 n) m9 U9 {3 _( e/ N& u
Arcsine transformation, 反正弦变换
' ]% H, ?1 a( n% r, U9 i) z! \, |( u# PArea under the curve, 曲线面积
1 n3 r: K- l$ W# jAREG , 评估从一个时间点到下一个时间点回归相关时的误差
$ J# u2 P) M, s8 B( HARIMA, 季节和非季节性单变量模型的极大似然估计 " ]* R, x& Y Y7 a( @
Arithmetic grid paper, 算术格纸% p1 U; W. X! H0 [1 _0 O
Arithmetic mean, 算术平均数- e# b& P4 B; k+ B+ L
Arrhenius relation, 艾恩尼斯关系. L! w+ y- m Z2 r+ f) E
Assessing fit, 拟合的评估0 t6 R, e0 w* v6 g9 M; X
Associative laws, 结合律) }9 u/ c# a9 ]
Asymmetric distribution, 非对称分布
8 W( ]. T, i: b z# r" P$ Z7 l w% sAsymptotic bias, 渐近偏倚, z6 C6 p3 Y. g1 w8 k
Asymptotic efficiency, 渐近效率
- u& M% d- R0 s/ ^Asymptotic variance, 渐近方差; O: U7 d" a' H" n
Attributable risk, 归因危险度$ f; A* |9 k1 A8 i2 J
Attribute data, 属性资料: p3 E) U4 F" }
Attribution, 属性 I! z+ Q& j9 I }) a: d7 o
Autocorrelation, 自相关
) p) y& R3 m: e9 ~$ jAutocorrelation of residuals, 残差的自相关
% B8 d. f% `1 e4 F2 J) i1 zAverage, 平均数, Y q' k( x( O% F
Average confidence interval length, 平均置信区间长度
, N3 } F& m( oAverage growth rate, 平均增长率
& _ p) ?4 B' v6 _ y. X$ xBar chart, 条形图, b4 _. J7 i* ]! G9 o
Bar graph, 条形图0 S0 m2 K0 V: r
Base period, 基期
( o0 Q/ ^4 i _# s8 }Bayes' theorem , Bayes定理
. c% ], \ _6 p) {& d+ Y/ GBell-shaped curve, 钟形曲线
$ K9 g5 f7 r1 U) i+ k4 u0 ~; z9 F3 `Bernoulli distribution, 伯努力分布( k7 e6 ?2 t0 V* _
Best-trim estimator, 最好切尾估计量
; p' |9 ?) e; v. b7 D2 \Bias, 偏性
% G! q& K9 _$ Y/ o3 [! XBinary logistic regression, 二元逻辑斯蒂回归3 c2 e% T4 n; i% P
Binomial distribution, 二项分布: @4 W3 k* w* R1 n
Bisquare, 双平方
% B6 }/ y X3 M- O# M" o7 nBivariate Correlate, 二变量相关: o8 X F! s8 m/ a
Bivariate normal distribution, 双变量正态分布* Q4 }- X% e- [ d6 c
Bivariate normal population, 双变量正态总体
/ ^- |$ q! x$ a$ q2 }( {# ~Biweight interval, 双权区间; j1 o% g2 e7 Y1 G7 H. }
Biweight M-estimator, 双权M估计量
|9 L# m; w6 G; uBlock, 区组/配伍组9 B* Z: _9 b, v! P% ?* @
BMDP(Biomedical computer programs), BMDP统计软件包
5 k& Q/ x J* j$ c: xBoxplots, 箱线图/箱尾图3 _; n" R) ]( L1 {. ~1 ~
Breakdown bound, 崩溃界/崩溃点
1 G, w! i7 g6 q( ICanonical correlation, 典型相关
# f. M u) u/ l9 l% N: X( OCaption, 纵标目
+ z3 z) U. E f" c2 nCase-control study, 病例对照研究
6 x9 ^, @; z9 F! d3 c+ QCategorical variable, 分类变量3 A" }& _; ?. K& O. o% p) ~4 P
Catenary, 悬链线
1 d/ a) U- ]6 n$ C* y3 X; [Cauchy distribution, 柯西分布% _, u" A& \* A: X$ ~. ~* V/ L
Cause-and-effect relationship, 因果关系) r" o4 _, z% ~+ {* F
Cell, 单元8 k3 E0 m# Y. H# L: d: K* F2 V
Censoring, 终检
$ o# e& ^2 E. N' cCenter of symmetry, 对称中心7 ]- [$ O1 |$ @! |2 {! U
Centering and scaling, 中心化和定标
$ X% `* \0 C7 A6 m9 l2 \ g d9 mCentral tendency, 集中趋势9 T& h. @/ x% R1 X
Central value, 中心值
" c2 ]' P, V3 L5 w: X1 \) @CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测" U$ I, }( J& z, X# H S& a
Chance, 机遇
4 B2 E {% ]; J" b( RChance error, 随机误差
3 u% B6 J# c+ @, O0 \; e2 c# e; i& [Chance variable, 随机变量( B9 k& d3 S, L! O5 ^& x
Characteristic equation, 特征方程
' ?" A8 u; G: [/ e- eCharacteristic root, 特征根0 n9 ?9 C, B5 X! z. A( F' y
Characteristic vector, 特征向量
, o+ N. n+ ?: n, ZChebshev criterion of fit, 拟合的切比雪夫准则 n1 A$ u' m) M; m
Chernoff faces, 切尔诺夫脸谱图
: P2 J ~7 ^, R- Z* d6 ~Chi-square test, 卡方检验/χ2检验( ]+ \; [) g+ T$ Z& P- c( E+ v
Choleskey decomposition, 乔洛斯基分解
( u; `% o# s3 O, y4 B' xCircle chart, 圆图
) f9 o+ l1 |. g6 M1 ^Class interval, 组距
# D2 h* L; E6 y3 @# L$ n6 ZClass mid-value, 组中值- L. t( y+ R; ]( D0 h( [
Class upper limit, 组上限
* Y, L3 x4 @+ n W5 {8 r6 z$ vClassified variable, 分类变量
9 |, y, f+ c+ ]' J& ], bCluster analysis, 聚类分析
1 t" T; @) y" F# r, j/ r7 GCluster sampling, 整群抽样
7 Z- [6 H- `: \Code, 代码$ X E6 l4 Z5 h7 y' w
Coded data, 编码数据
0 ~- e6 I$ m$ T) _0 lCoding, 编码
6 E+ ~2 o1 F7 i* I: V- _, WCoefficient of contingency, 列联系数" [8 F x Y v& l
Coefficient of determination, 决定系数6 l2 [! ~/ ~' N& ]7 b& |
Coefficient of multiple correlation, 多重相关系数7 N6 d% j9 g3 G
Coefficient of partial correlation, 偏相关系数# s# c; y. V" ?; `5 S
Coefficient of production-moment correlation, 积差相关系数
, Q5 F. w% @3 B1 ~) w6 U9 V; MCoefficient of rank correlation, 等级相关系数: _/ Y4 B/ K2 _1 T
Coefficient of regression, 回归系数
7 I0 L8 a( ~7 _Coefficient of skewness, 偏度系数
5 T3 R$ K& ~8 H6 z: x$ HCoefficient of variation, 变异系数
G$ S( F# Y3 n; QCohort study, 队列研究
- x8 D) Q! f$ V. D8 m* hColumn, 列
4 t2 |1 |# B( ?Column effect, 列效应
* W$ h: P! U: o% zColumn factor, 列因素) I2 H& q4 o$ k! B" p2 a
Combination pool, 合并
8 B {; W! V1 s7 KCombinative table, 组合表5 P f' _& i+ ~0 t3 S7 u
Common factor, 共性因子
7 O3 u; w0 `0 D8 iCommon regression coefficient, 公共回归系数
6 F% L- `6 d) oCommon value, 共同值
" t! \) M5 M- K) R% tCommon variance, 公共方差
$ _" F1 P! S+ l* t& WCommon variation, 公共变异1 c' g# H4 o* d# {4 g, D2 G
Communality variance, 共性方差
8 k' Q A7 y3 L3 `7 T: p) [Comparability, 可比性, w* _' S6 R4 E$ N' b
Comparison of bathes, 批比较9 T H. n$ M0 y% G% L
Comparison value, 比较值" v: H; H- x8 L- K! k( u4 `
Compartment model, 分部模型; j( `' p( v7 }- I
Compassion, 伸缩
# R( \5 F' K9 j2 `Complement of an event, 补事件) V( ?. F% v# C
Complete association, 完全正相关
; A4 _% `9 I1 y M. @Complete dissociation, 完全不相关0 ^2 M: v5 P" k3 f1 w6 w
Complete statistics, 完备统计量6 j7 k2 E; n7 g2 n* L6 B" x4 Z
Completely randomized design, 完全随机化设计
8 s% P2 Q& R X) _. t X8 HComposite event, 联合事件
' ^+ V5 w8 b9 {1 K. Z3 N h/ QComposite events, 复合事件
; f* `- @; r3 W3 S) E4 ^! H3 BConcavity, 凹性
& D6 f" f" r! D0 _& U8 SConditional expectation, 条件期望
8 m* n" t, Y. E; [! O% b% N1 wConditional likelihood, 条件似然
! p) ]' ]2 `! o1 C* pConditional probability, 条件概率
) d* y5 b" r3 l# fConditionally linear, 依条件线性
+ p/ Z: c) R0 FConfidence interval, 置信区间: t! A+ c* L( g6 V0 c9 b
Confidence limit, 置信限
- s( X1 g0 b5 v y: qConfidence lower limit, 置信下限5 {8 S- F, b2 K3 F
Confidence upper limit, 置信上限8 ~7 k: G; D1 d+ q' F
Confirmatory Factor Analysis , 验证性因子分析5 W: i$ O8 @( O N0 D
Confirmatory research, 证实性实验研究
! h2 B1 H% {* D8 \7 ]6 d8 [Confounding factor, 混杂因素
) z3 J5 n3 X3 V7 I8 c' rConjoint, 联合分析
! \+ P9 x) n$ VConsistency, 相合性- Q, R$ m* h& J# L2 K- v
Consistency check, 一致性检验6 K1 }% Z- T6 |3 w$ v4 E
Consistent asymptotically normal estimate, 相合渐近正态估计
" d5 w! K. G3 \2 H$ j# bConsistent estimate, 相合估计$ n1 Z" D- r& A6 e) J
Constrained nonlinear regression, 受约束非线性回归" M2 E& ~( ], F
Constraint, 约束7 {" ^ U/ X- r, ]! n
Contaminated distribution, 污染分布4 l+ i6 c. z- V* O
Contaminated Gausssian, 污染高斯分布+ @ T u6 O' {# [. B
Contaminated normal distribution, 污染正态分布
" s- r) E" C, ~* U& A5 e& KContamination, 污染/ r6 N6 t8 V; V' C( _8 ?2 p
Contamination model, 污染模型+ F' r E2 J O
Contingency table, 列联表
, y ~: d, D$ nContour, 边界线: P; J8 B& E& i
Contribution rate, 贡献率
+ V# a" \7 X+ j( {. K* ~Control, 对照
- ~$ o4 U1 I7 [. FControlled experiments, 对照实验
7 Z: `) n6 Y, n% x, ], C- I. hConventional depth, 常规深度4 M- ^& G/ E! P, }& v7 ^ ^0 k) N3 I3 {/ B
Convolution, 卷积
& v$ J* d9 r2 ^' t4 J) pCorrected factor, 校正因子
! c; ?; h% A3 ICorrected mean, 校正均值9 P% J; r3 h: Q
Correction coefficient, 校正系数
k1 a! I/ o7 UCorrectness, 正确性
" _& G( J8 o* g) MCorrelation coefficient, 相关系数
5 P- K6 k3 r: e8 D3 k! zCorrelation index, 相关指数
6 l. g" w' P. R- ^# X) UCorrespondence, 对应$ L0 _7 m* l4 n; s' d9 L
Counting, 计数! B6 w- Q r2 p Y- a& f1 M8 A P
Counts, 计数/频数
' k, \; v2 Z# F/ c5 fCovariance, 协方差3 P: f. {6 m7 A" X& t
Covariant, 共变 ! Y/ b7 _5 @0 y( {: w3 x
Cox Regression, Cox回归
/ h x& B$ Y% r2 c7 g6 f7 UCriteria for fitting, 拟合准则
& i. {# `- v5 E# N+ v8 q; jCriteria of least squares, 最小二乘准则
9 D" ?+ j' [0 x- w r" P6 MCritical ratio, 临界比
# M% A; {$ H# Q( PCritical region, 拒绝域
$ v/ Y7 f7 u1 I+ I# dCritical value, 临界值8 w8 M# H/ P' |3 G6 E( }7 [
Cross-over design, 交叉设计
[" L5 p( ~6 s) R, F% a' ZCross-section analysis, 横断面分析0 D) V" H! q" X2 b* q3 l: V
Cross-section survey, 横断面调查" @/ G' r/ O: S
Crosstabs , 交叉表
6 F8 ^( i5 e. _, ?, nCross-tabulation table, 复合表
& c7 Q; A; o0 ]Cube root, 立方根2 M: Z. P& e+ W8 e. O2 q
Cumulative distribution function, 分布函数
' u. ?, P4 W# H. r$ t! `Cumulative probability, 累计概率, A4 h* F* T5 f8 k; W# r }; g& ~) q
Curvature, 曲率/弯曲# ]6 B+ L+ t$ O
Curvature, 曲率4 p& W, w! ~. ~/ j
Curve fit , 曲线拟和 / S, s& Y3 Z# a) ~7 ~1 S7 j G8 K' ?
Curve fitting, 曲线拟合4 p* }- Q; {1 k
Curvilinear regression, 曲线回归2 N# x. l0 e0 W9 G4 g3 ^# h/ T9 |
Curvilinear relation, 曲线关系8 T1 T6 \/ }# E' `' r
Cut-and-try method, 尝试法
\5 e J) g. G9 o7 q$ A5 y* ~Cycle, 周期' [& U3 _; z3 e( o9 D+ j% R. o
Cyclist, 周期性
2 X" ^2 H l7 t+ CD test, D检验
4 S* \. j0 N2 k. JData acquisition, 资料收集! c/ J1 o) ^* X" C) Z
Data bank, 数据库 t* l) |$ F5 W# O/ a& e# }' w5 [1 g- U
Data capacity, 数据容量' ] J0 N/ b- C! a T7 S8 ~9 r
Data deficiencies, 数据缺乏
8 R1 o- r0 c. nData handling, 数据处理
" s1 d& p6 I$ g) M QData manipulation, 数据处理( F3 z5 \% t; A- L$ Y
Data processing, 数据处理
0 z, m, N7 ?! }+ g4 iData reduction, 数据缩减
* I2 y+ k0 e: M& H% XData set, 数据集
( H0 E: n# |7 m+ `Data sources, 数据来源
8 D# t; \9 x0 J+ qData transformation, 数据变换8 X+ q( w7 u" Y# Z
Data validity, 数据有效性4 t9 Y5 e3 U5 k/ Y6 f* [5 v
Data-in, 数据输入
: V- H5 p8 j! w+ P& tData-out, 数据输出1 o, Y7 i) J/ z. q8 W' i
Dead time, 停滞期
. O" R, m6 u7 X9 {Degree of freedom, 自由度5 O* _* }+ T+ D; N; x C- K Z: e
Degree of precision, 精密度
# `6 B N8 O: x7 I. o1 I1 wDegree of reliability, 可靠性程度
% {8 g- M7 @( o) R2 y7 IDegression, 递减
2 |' y6 R V+ Z9 J1 qDensity function, 密度函数 J: Z; C7 Y8 J8 m
Density of data points, 数据点的密度
7 j2 N& `* W4 T# ~Dependent variable, 应变量/依变量/因变量: Y- L3 y% D+ H, x
Dependent variable, 因变量
! o7 X/ a5 h7 [9 {( _% v% qDepth, 深度
5 j, Q, E' u, S# C/ ?# eDerivative matrix, 导数矩阵7 I0 z s v1 d/ X+ E6 N6 a- n9 u: D& n# x
Derivative-free methods, 无导数方法4 k5 u- s9 X/ Q; d& a# |
Design, 设计
0 |: l; ~4 j( a7 J5 NDeterminacy, 确定性
2 [2 V4 k0 r" q# N& p: YDeterminant, 行列式/ j5 J8 X" m& G' ~. I: e2 h; ]
Determinant, 决定因素& O O$ |6 a$ A& H$ i/ }# Q
Deviation, 离差
O# O1 C7 d6 v/ qDeviation from average, 离均差5 l" ]4 r. u! R$ w6 P$ _
Diagnostic plot, 诊断图' D2 a' m9 y2 Z1 l7 V/ M; P7 O
Dichotomous variable, 二分变量
) ^; U8 O. {; Y6 sDifferential equation, 微分方程
" l+ Z+ n2 U: |! ADirect standardization, 直接标准化法1 I2 Y9 Z: B( u' g
Discrete variable, 离散型变量6 k) D& W9 r" }0 w
DISCRIMINANT, 判断
* b3 m7 d! ?7 u! ADiscriminant analysis, 判别分析
4 H' o& n, y! n( _% |" Y- {Discriminant coefficient, 判别系数 e; L# z6 s3 Z& P1 A( f n
Discriminant function, 判别值
* ?3 n, f B% K# }7 DDispersion, 散布/分散度$ m) b- h, n$ x8 V
Disproportional, 不成比例的$ B9 ^4 e5 z- ?( p2 K
Disproportionate sub-class numbers, 不成比例次级组含量8 V3 y* S3 R6 E1 H1 o2 @! [7 P$ B
Distribution free, 分布无关性/免分布& l( { F9 n: `5 X( |
Distribution shape, 分布形状
% v/ d1 l @0 @3 Y) TDistribution-free method, 任意分布法. P% l, g0 k( W9 m: d& h1 E
Distributive laws, 分配律 Z0 {* v( D% n f9 K3 }
Disturbance, 随机扰动项
1 J$ k1 _0 K0 ^7 {( U5 MDose response curve, 剂量反应曲线
1 d- r3 q: g/ |! k e, ~Double blind method, 双盲法3 N+ g! A( b9 w* O. X, L
Double blind trial, 双盲试验4 U' j0 T% U' f4 C8 Z9 g
Double exponential distribution, 双指数分布
* t! t0 M2 e2 YDouble logarithmic, 双对数7 d6 B5 _2 o2 c% B' A
Downward rank, 降秩, ]9 G- m. W3 J
Dual-space plot, 对偶空间图
7 v0 B; A2 m( I; Q9 \- Z3 W2 n! h9 LDUD, 无导数方法/ P1 B; ~1 m& l4 I8 m$ V& ]7 u
Duncan's new multiple range method, 新复极差法/Duncan新法
& y1 M0 D7 m; {' QEffect, 实验效应
2 U# p' Y4 x5 y7 d E5 ?% REigenvalue, 特征值
7 }5 Y Z/ b+ e' j# ~! JEigenvector, 特征向量
' @# K8 U' e, q% F1 k$ h LEllipse, 椭圆
8 E# v8 o$ m) jEmpirical distribution, 经验分布
& V% U: M! I5 Q ~Empirical probability, 经验概率单位
4 v( S) E8 J9 \1 ^3 G4 m2 l: CEnumeration data, 计数资料3 J8 ~" \# e. g2 P! ?
Equal sun-class number, 相等次级组含量
: L8 L8 ]! S2 ~& `7 s' x6 pEqually likely, 等可能
3 B. o6 Q* N0 @& YEquivariance, 同变性
! ^7 T2 O+ @4 c% Q6 F1 x/ }4 ], hError, 误差/错误
7 m1 O r: x) J6 A; FError of estimate, 估计误差
9 D% [! n# E* O1 F! Y2 x+ GError type I, 第一类错误' \8 k" Z5 d9 y
Error type II, 第二类错误 n3 ^* x3 m2 E n
Estimand, 被估量# [, K9 r! q# W; M' ]5 [* y
Estimated error mean squares, 估计误差均方# s4 t" F) M. T7 K) e! z$ E2 I
Estimated error sum of squares, 估计误差平方和
4 e& r" I" v: Y! {Euclidean distance, 欧式距离
1 P z$ X {, o ^% XEvent, 事件/ w4 e$ F0 o! e3 g
Event, 事件
( M, q P- F6 gExceptional data point, 异常数据点( J! [) q6 ~7 @. @/ V) }2 P4 E
Expectation plane, 期望平面
/ [1 [! L) q* o& eExpectation surface, 期望曲面9 E7 ^: @2 F) R0 C0 T* K j
Expected values, 期望值
0 \/ J, M+ K) B- \Experiment, 实验
0 [3 T0 A8 l$ `' \Experimental sampling, 试验抽样# d9 a: U7 ^( j ~" R) W0 n
Experimental unit, 试验单位( V. G: ~# J( t- u' ?
Explanatory variable, 说明变量/ v8 m8 |2 ?/ U* @9 \
Exploratory data analysis, 探索性数据分析% j; J. o: A0 D' F9 t9 E
Explore Summarize, 探索-摘要
4 ~- X# w- a- D: n6 E" k! CExponential curve, 指数曲线2 s: r/ _- p3 z# x
Exponential growth, 指数式增长
0 W( Z! s+ r. V. F7 @EXSMOOTH, 指数平滑方法 4 R, A |! f8 n: r- N1 y1 O- u
Extended fit, 扩充拟合# m6 s) U0 O& Q6 l; H& G8 n
Extra parameter, 附加参数5 _' a$ d( V$ R! ^1 m& C! j' ?* j
Extrapolation, 外推法9 Z1 a4 Z7 | J. F
Extreme observation, 末端观测值
3 h8 w: H' ]. ?. W7 O4 K( ~Extremes, 极端值/极值. T$ x8 `" q ^
F distribution, F分布
5 Z, h' @1 R. `5 m$ ^- vF test, F检验
0 ~7 P) T/ W h" `" q+ LFactor, 因素/因子
L0 T; V+ u( b7 @' Y4 EFactor analysis, 因子分析
" O! S6 I) \; qFactor Analysis, 因子分析5 k9 X; D5 W9 x4 p$ W+ h2 h
Factor score, 因子得分 T, G; B% V1 [; c$ U) V$ u% U
Factorial, 阶乘
$ M, s" W: Q: C) @1 r3 ~Factorial design, 析因试验设计
% k; d% f4 z% {1 U3 }False negative, 假阴性
8 t* K' N) D. K9 wFalse negative error, 假阴性错误
; U' _& z+ {- D2 N$ \' nFamily of distributions, 分布族5 G) L* i! [* Q' W* J1 |
Family of estimators, 估计量族
" V! ]$ B. z9 }2 H* E! HFanning, 扇面
: ^0 z" t3 k- A& q& e% b7 K TFatality rate, 病死率. |1 E9 V- j8 u' Y$ p; }1 |
Field investigation, 现场调查0 ~2 m; @$ |( C0 j% H
Field survey, 现场调查9 m% a/ }- ]& [1 b' m
Finite population, 有限总体
" K4 ~# I4 w9 v' j" YFinite-sample, 有限样本
/ \' h3 o- h" \9 K! ^1 DFirst derivative, 一阶导数 e$ X0 N; j9 b
First principal component, 第一主成分/ D5 \5 B7 \$ @) ?) ]1 N# `! Q% h
First quartile, 第一四分位数
$ R0 v0 n3 s: o! U, W0 a. zFisher information, 费雪信息量
. d* B9 P1 w6 N* R. D* V2 A& jFitted value, 拟合值
( |! ~5 G6 C" J$ JFitting a curve, 曲线拟合) F+ F, m9 C! I# m
Fixed base, 定基: E0 J& s2 A, ~6 [/ y2 Z" [
Fluctuation, 随机起伏9 V2 ?+ N D$ a+ S1 h, i8 ~$ K
Forecast, 预测! C5 m: F' d6 |
Four fold table, 四格表
3 p0 s2 A j) G2 N7 s* Q) N/ OFourth, 四分点2 y8 y, R: T3 L4 d+ G, T# S2 |
Fraction blow, 左侧比率
6 ?$ R( T7 P# t5 fFractional error, 相对误差- E1 t t' Q; m' n g8 Y
Frequency, 频率
+ m7 R2 v ~9 K7 }. CFrequency polygon, 频数多边图
) q) m0 M( K3 U I5 B7 b5 H3 I/ dFrontier point, 界限点& i4 _2 k X6 R, _6 e4 ^ n- K
Function relationship, 泛函关系( I9 s7 { [8 t7 z: ?$ o; l- T
Gamma distribution, 伽玛分布4 J/ m0 k7 q( i3 U4 [" l, C) B
Gauss increment, 高斯增量/ N/ J) V8 K q& F* B
Gaussian distribution, 高斯分布/正态分布
5 _, r% J! H+ g5 w7 m1 h7 oGauss-Newton increment, 高斯-牛顿增量$ J( j q3 ^# ?3 r h0 G* Y5 z
General census, 全面普查0 {# I: ]8 n. `7 {8 h
GENLOG (Generalized liner models), 广义线性模型
+ A. e5 @3 @3 u- ~/ Z0 p% `3 VGeometric mean, 几何平均数
R: f @& R$ [/ V2 |" O1 ]Gini's mean difference, 基尼均差; B+ C# u" n' I$ _
GLM (General liner models), 一般线性模型 % q$ H8 ~3 H& \8 w$ n; L+ L
Goodness of fit, 拟和优度/配合度6 U% x: {1 \) k) ?2 u
Gradient of determinant, 行列式的梯度
' d2 t1 J. K6 @8 J/ lGraeco-Latin square, 希腊拉丁方
4 o7 C4 W @7 t/ [% MGrand mean, 总均值' `: X" v) F# G9 g' p
Gross errors, 重大错误
" Q' M/ F+ C3 j0 Z/ a5 fGross-error sensitivity, 大错敏感度8 U0 P' e% C, a b& P* F9 h
Group averages, 分组平均
/ l+ Y% q+ Z' jGrouped data, 分组资料# P/ U% Q* r7 X5 n$ p- w
Guessed mean, 假定平均数4 i% j' f4 S7 R- d# b5 ? Q
Half-life, 半衰期
2 U' k8 s3 e& h8 `1 g7 qHampel M-estimators, 汉佩尔M估计量& m- t7 @3 O" E p& c+ g9 V R" e3 c0 f
Happenstance, 偶然事件3 N1 T' O" i# I' r" b5 s v l* i$ c. F
Harmonic mean, 调和均数3 {2 M/ X/ ?9 e. s
Hazard function, 风险均数& P- e3 U7 W6 c: O' M& |9 F
Hazard rate, 风险率
8 z4 R3 E; }! ~% C& RHeading, 标目 9 o$ t! u" t7 t
Heavy-tailed distribution, 重尾分布
5 Z. @* }$ ~( A* M* l7 P: cHessian array, 海森立体阵/ @" \; q) ^( a5 y
Heterogeneity, 不同质& }% U3 B# H8 e8 {; E1 h+ ~- j
Heterogeneity of variance, 方差不齐 1 B) i1 ~8 }# d1 ^
Hierarchical classification, 组内分组) z+ z$ v) M+ \, K
Hierarchical clustering method, 系统聚类法
# U1 ~* V2 m: E0 O4 H& I+ `$ e) PHigh-leverage point, 高杠杆率点
& a$ q! O! ~: r3 f) X+ t- T/ gHILOGLINEAR, 多维列联表的层次对数线性模型6 Z0 ?" ]3 i1 \) M+ ?' Y
Hinge, 折叶点* f( b5 I/ h( [: w& B% x! g; T ?
Histogram, 直方图- ~2 @" p" d- e( h
Historical cohort study, 历史性队列研究 2 X' m9 J! y! E/ x6 k& j* D7 k0 G
Holes, 空洞
( s9 ^" H- r1 z! c9 n/ P! T2 k# ]HOMALS, 多重响应分析8 q" I9 w: Y5 Q, z+ q1 n
Homogeneity of variance, 方差齐性
$ b, q5 {' C, T! S& RHomogeneity test, 齐性检验
2 u: u' o, b+ k, N$ _Huber M-estimators, 休伯M估计量
$ l8 D J) ^# @Hyperbola, 双曲线9 c6 F1 t1 _& J" k1 {6 C7 @: i
Hypothesis testing, 假设检验( A5 H% s, T9 V) G3 u" v
Hypothetical universe, 假设总体' ]9 E7 J* D% s2 {$ I$ O
Impossible event, 不可能事件- c3 k# Z, A( e+ l% y2 B
Independence, 独立性
! ~- u0 I' h$ zIndependent variable, 自变量
& K& Q5 G) W4 hIndex, 指标/指数( K6 p# W9 w' V8 n+ G
Indirect standardization, 间接标准化法
* |$ `, v: v8 e; g* h c8 B9 l c. RIndividual, 个体
0 ^5 u- l2 z5 M' M8 ~- b$ q. hInference band, 推断带
: x2 z# w1 N" h) Z$ K. I& @Infinite population, 无限总体
% o! d" ]3 X5 I4 A9 a8 |Infinitely great, 无穷大
' ]5 Y$ U5 ^$ C M4 d9 Y. pInfinitely small, 无穷小& Q/ e9 X: F$ G+ `
Influence curve, 影响曲线
+ ^# {: O) e4 w7 dInformation capacity, 信息容量
9 H M5 F0 b3 [! q! C: k; n+ uInitial condition, 初始条件/ J- h0 @- d. w
Initial estimate, 初始估计值
3 q, o1 N; R( b$ G1 m, G% a" fInitial level, 最初水平5 E- L( r. i& f+ W
Interaction, 交互作用( ~# c% {3 y/ K0 u" \- m/ J# K
Interaction terms, 交互作用项
' D' T& B3 W Q: l( s1 ^% v' x2 DIntercept, 截距 r/ n" ^9 X8 x- v( J
Interpolation, 内插法
! Q' m' K6 a, b* m8 u6 ~; E( PInterquartile range, 四分位距: j/ \0 S9 J) i, }# w9 \
Interval estimation, 区间估计
, H3 A5 p' u4 E+ kIntervals of equal probability, 等概率区间 f: [0 U% w% T" {2 f/ E: m$ C
Intrinsic curvature, 固有曲率
/ R; b/ A5 X* z( O0 @8 TInvariance, 不变性
s6 `0 N6 Z* ]: l* o, M& S9 f! P1 jInverse matrix, 逆矩阵( Z$ O9 O' T6 }* M5 F
Inverse probability, 逆概率- v. [% b8 o' c
Inverse sine transformation, 反正弦变换- A8 W/ j( t1 M9 x9 G8 f) G
Iteration, 迭代
" q' A3 c; h5 uJacobian determinant, 雅可比行列式% V& B: i) X. c, w' ^
Joint distribution function, 分布函数8 t5 e9 \# z p5 p. w8 t* I0 g% S
Joint probability, 联合概率" |6 ] o( v$ a
Joint probability distribution, 联合概率分布3 s/ C3 d7 \# k& m
K means method, 逐步聚类法0 n3 m& W4 L3 s: M
Kaplan-Meier, 评估事件的时间长度
! Z( J6 D9 I* J3 r1 N! @0 L5 n* wKaplan-Merier chart, Kaplan-Merier图
$ K. R; ^7 C, I1 Q7 n: @4 zKendall's rank correlation, Kendall等级相关
9 Z+ _/ A* y7 J0 T) oKinetic, 动力学, b q. S! r% X
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验6 }- f3 c" P" b8 I) _2 M& x3 j
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
0 s, {5 V6 X1 ~7 x9 `Kurtosis, 峰度9 S/ \& G" ^- ?, d* i
Lack of fit, 失拟
- m3 c+ u" w' _) |- U! hLadder of powers, 幂阶梯+ l5 z1 x7 @- ~, l: r
Lag, 滞后2 f, l9 k( z# T7 H
Large sample, 大样本
+ ^" N/ W( r2 `9 F, C5 B$ J' [Large sample test, 大样本检验& |0 I! l* z) ^ ]
Latin square, 拉丁方
9 ]# p5 u: A c u3 }Latin square design, 拉丁方设计
( m7 f2 { T5 Z, S1 @Leakage, 泄漏
4 V y8 ~* p! r# g7 rLeast favorable configuration, 最不利构形% ?% _; T( D' N* S) [ h/ z2 Z
Least favorable distribution, 最不利分布. I2 ~6 Y% P) r) a6 ~# B5 K
Least significant difference, 最小显著差法
( x; E8 F# G6 E+ q& nLeast square method, 最小二乘法; t4 m1 [$ B1 L& Z( Z
Least-absolute-residuals estimates, 最小绝对残差估计
- h; ^# d$ G4 q% X2 p+ |: H- RLeast-absolute-residuals fit, 最小绝对残差拟合 I1 _/ k, K9 |8 V3 b
Least-absolute-residuals line, 最小绝对残差线4 b; y3 o9 i1 Q1 M+ F- m L
Legend, 图例
g) Z. y* W0 Q$ x9 g! AL-estimator, L估计量1 t; C" \: d' y2 d* K
L-estimator of location, 位置L估计量1 l* ?! ^8 w+ q. o, A
L-estimator of scale, 尺度L估计量9 {5 z7 ~# U4 `' I* K) W- _! v% c
Level, 水平
- ^' t G+ M* ]2 f& G( g8 NLife expectance, 预期期望寿命
- A9 Y, ] L: e# n8 R9 L ULife table, 寿命表4 v. \) ?( b6 O: L* n
Life table method, 生命表法1 F5 [' Z! H/ ~9 X- H
Light-tailed distribution, 轻尾分布; p) t, y0 O6 Q5 m2 m% J
Likelihood function, 似然函数
0 {+ ]6 M2 U9 d- x9 ALikelihood ratio, 似然比4 X! {& P. ?8 A6 L
line graph, 线图9 x C, o1 I9 [ f
Linear correlation, 直线相关& m' I6 g5 t* U# _1 Q- X* \ z
Linear equation, 线性方程/ S% }- s7 {* S9 [: w
Linear programming, 线性规划
9 ~/ c* C2 [. q' cLinear regression, 直线回归6 Y7 `$ O6 l% M
Linear Regression, 线性回归5 ]7 ~0 M) d; D" F1 o
Linear trend, 线性趋势2 @. D: l6 p$ t- h0 {; K6 r5 n
Loading, 载荷 1 Q5 r# r3 n6 c5 c& G! Y
Location and scale equivariance, 位置尺度同变性
# R4 G) |6 C' J8 b7 g7 vLocation equivariance, 位置同变性5 t C* c3 t% F, R, ?$ Q- D. \
Location invariance, 位置不变性
7 _) L5 U4 V) J2 _Location scale family, 位置尺度族
$ u; n+ d0 [. C, l$ |- g" ]Log rank test, 时序检验 2 t) l4 k& r- \- K0 O- Y! Z
Logarithmic curve, 对数曲线) p, K. N9 A* K- A+ r( \
Logarithmic normal distribution, 对数正态分布& L+ U- |9 D( `( o
Logarithmic scale, 对数尺度* D- }9 Z! v% }- v
Logarithmic transformation, 对数变换9 m- l% g* h7 G7 w; V( F# M
Logic check, 逻辑检查
9 R8 ?7 \( k8 X- a" V* {# TLogistic distribution, 逻辑斯特分布/ M% t% \" g. ^
Logit transformation, Logit转换
1 L$ n8 U1 w: D8 X2 eLOGLINEAR, 多维列联表通用模型
& S2 {% k( q) P9 iLognormal distribution, 对数正态分布+ F: Y, a& h% C/ I
Lost function, 损失函数3 K! O$ N, a. j- n- b0 [
Low correlation, 低度相关
( G+ L n6 e; rLower limit, 下限0 q# g! ?( E# o
Lowest-attained variance, 最小可达方差
3 R, v+ N% q j' ELSD, 最小显著差法的简称
* N1 Q% p0 I; L7 B, F: r. DLurking variable, 潜在变量2 A. I5 m# F, `. ]+ R1 H/ ]# D
Main effect, 主效应
7 Z& g s5 }; _' L s8 e* D% B/ OMajor heading, 主辞标目
0 W6 t" k8 q1 O0 O* \: vMarginal density function, 边缘密度函数
! W F0 A3 h ^. ~0 _% g# X: T+ m0 vMarginal probability, 边缘概率
4 X1 g/ Z5 [4 v2 L% ?1 _Marginal probability distribution, 边缘概率分布
3 G/ G4 U; d/ A6 \2 g" ~3 XMatched data, 配对资料
* P% p' {/ [( I- ~: S" Z! L9 f) zMatched distribution, 匹配过分布* i* Z4 S' ^1 O9 o1 w8 e9 l
Matching of distribution, 分布的匹配, G, m: v5 X* H4 Y( Q* }- B# t
Matching of transformation, 变换的匹配3 d: e! U+ t' C& t1 _2 L' n. b5 K2 z
Mathematical expectation, 数学期望8 f. k" s W; e+ k& u: V
Mathematical model, 数学模型. Q; U% g# j- E( O1 D) a
Maximum L-estimator, 极大极小L 估计量
, E' @: x. Y# l# b9 Y) _% k& C, S) mMaximum likelihood method, 最大似然法
, _. z% b+ ]% y8 E; U4 oMean, 均数6 q" V$ @1 I3 z. M7 D
Mean squares between groups, 组间均方/ S" ]! g% I) P( y& F* P% Q% x
Mean squares within group, 组内均方
2 F$ h0 h% s4 Y" A5 Q5 t3 jMeans (Compare means), 均值-均值比较
5 M7 d% S# c1 j( ~3 D# AMedian, 中位数
, ?- i6 K4 j, M9 i2 B+ v/ _Median effective dose, 半数效量
. ^9 ? f8 n( }% SMedian lethal dose, 半数致死量- V8 A; v4 k/ l7 j
Median polish, 中位数平滑
; B5 P8 n- K- EMedian test, 中位数检验5 g- O# e9 w u/ Q& Z
Minimal sufficient statistic, 最小充分统计量
; r" h/ |+ J8 C2 B) g8 R! AMinimum distance estimation, 最小距离估计# e( ~7 m0 j) A2 o [
Minimum effective dose, 最小有效量$ ?) y4 j. E1 u
Minimum lethal dose, 最小致死量
2 z' W3 b9 y; H& D/ g9 b3 ?9 \Minimum variance estimator, 最小方差估计量
' W! e5 r2 J- P1 q3 B4 MMINITAB, 统计软件包$ N* l) v4 Y' y' H
Minor heading, 宾词标目
" T+ @6 Z7 A4 }Missing data, 缺失值
% g, X# B x0 W4 `+ x5 h7 LModel specification, 模型的确定
0 z( e, w' B; D; aModeling Statistics , 模型统计* F& d5 y) B! T
Models for outliers, 离群值模型
3 `% g4 H& G' Z$ i/ SModifying the model, 模型的修正
( Q( y# Y7 a+ R% qModulus of continuity, 连续性模
1 `* X! X9 z( S5 B: |Morbidity, 发病率
0 p X, j- s6 V. o: mMost favorable configuration, 最有利构形, U1 Y( I" q- B$ Y- S7 L
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
+ P$ z& L9 w/ E2 l8 |0 m! |, pMultinomial Logistic Regression , 多项逻辑斯蒂回归7 Z* a6 W7 Q* z% @! Q
Multiple comparison, 多重比较3 I' y3 ~! u$ e6 ]8 @" h
Multiple correlation , 复相关
0 m6 s6 l8 Y2 r9 j9 A; @ VMultiple covariance, 多元协方差
1 r3 G: X: W8 h- C8 U6 \3 V0 G' kMultiple linear regression, 多元线性回归( v( i/ H: e, j/ P* q% R2 c& t
Multiple response , 多重选项! D1 Z% A5 }+ m% V+ W& K
Multiple solutions, 多解 K1 q. z/ U p: o
Multiplication theorem, 乘法定理
" p2 z4 w1 R7 V5 q. JMultiresponse, 多元响应
# G: k, Q% | h L; `" AMulti-stage sampling, 多阶段抽样
- ?. T, J+ f2 |+ W5 ~Multivariate T distribution, 多元T分布5 X; |! H4 a( Z1 z- c j
Mutual exclusive, 互不相容9 }$ c7 {; x# x! N e
Mutual independence, 互相独立- L% H- [9 \2 L
Natural boundary, 自然边界
: ~* S) N. q0 B- }, c4 [Natural dead, 自然死亡
+ k( }0 @# t) m/ t5 x/ VNatural zero, 自然零
! X2 _+ ]; x5 G9 X: z9 |0 F8 ?Negative correlation, 负相关
7 y: u2 f+ l) U E! s% bNegative linear correlation, 负线性相关& I( r8 s- s& }1 |" T
Negatively skewed, 负偏
& a3 U) o* W. NNewman-Keuls method, q检验0 s5 K1 |" B8 o2 _' R3 a
NK method, q检验# N" O7 @) ? H! O
No statistical significance, 无统计意义
4 L: ?( _' U( J1 Y" j, jNominal variable, 名义变量
" R4 @+ p& O( @. Y4 SNonconstancy of variability, 变异的非定常性! M" c7 c8 C' ]8 z) n4 D
Nonlinear regression, 非线性相关
. O1 ]4 }. D8 i X( A1 z& vNonparametric statistics, 非参数统计! D- c, g( r, `$ Y# J0 }- z
Nonparametric test, 非参数检验- @& L0 }: U! r5 _% s6 ?3 J" {
Nonparametric tests, 非参数检验
; v" V% f. i5 T9 n. {Normal deviate, 正态离差* i |+ F0 `* M6 {# ?
Normal distribution, 正态分布% |7 y$ R& H/ ^% k& Y. X
Normal equation, 正规方程组
+ p: v* t( P) r) D2 k: s" j$ sNormal ranges, 正常范围! ~8 M/ L m" u& Z+ l5 \
Normal value, 正常值8 E' u% }+ k+ {# ~, Z
Nuisance parameter, 多余参数/讨厌参数$ A' I+ S% \* T& q
Null hypothesis, 无效假设 , h, o: ~3 J! [+ `8 `( d$ s
Numerical variable, 数值变量
+ n7 a, z/ x# ~7 L8 T3 j$ OObjective function, 目标函数/ R9 ]1 s4 q" P+ W1 S. @8 s$ c' o; @9 U
Observation unit, 观察单位: ?( Z3 T9 ] c, l) ^2 e8 j
Observed value, 观察值9 K/ S& t& R, B1 m: ?# k0 X
One sided test, 单侧检验; B/ d' f6 b( [' z1 M
One-way analysis of variance, 单因素方差分析; \( V! V6 a. _) Q. ?; i$ |* r
Oneway ANOVA , 单因素方差分析
0 s& S4 G' [0 o7 |Open sequential trial, 开放型序贯设计7 {8 b2 m9 E, I
Optrim, 优切尾) Y. l" Y K' y
Optrim efficiency, 优切尾效率 U7 x7 U$ U& M% R( R1 ~1 g, D# \
Order statistics, 顺序统计量
: y& t! K. B* JOrdered categories, 有序分类6 T! m# a: N/ _+ Z, N" \
Ordinal logistic regression , 序数逻辑斯蒂回归) z: q" G. R( H9 q/ L
Ordinal variable, 有序变量" b4 s: y8 A; H5 X7 r
Orthogonal basis, 正交基
2 f$ }: u- Y8 d* X: ^( B4 ?1 }Orthogonal design, 正交试验设计
' W$ m- H- j: z6 j' JOrthogonality conditions, 正交条件6 G# }6 r: e, M3 C# w
ORTHOPLAN, 正交设计 6 `/ N$ e9 M; O; e* ~7 w
Outlier cutoffs, 离群值截断点
. ?: S' {6 a3 V1 B) `Outliers, 极端值! V5 u# W$ Z; \9 ^0 I# s: T7 o& w
OVERALS , 多组变量的非线性正规相关 8 K7 W( J+ b0 T$ z0 [
Overshoot, 迭代过度
( Q7 J- L6 a8 g/ E/ }- `/ OPaired design, 配对设计
% C% n& v0 t9 f w2 i* \( \% _Paired sample, 配对样本
. K# V5 Y" |! G7 D# `' S" ?' M& GPairwise slopes, 成对斜率
! u) w6 q+ `' G; e/ J3 |5 D) H+ vParabola, 抛物线
1 A0 ]3 b4 z d9 Z0 ]: U* [Parallel tests, 平行试验
' \9 ], h( `1 o m9 FParameter, 参数( b) n# Z5 Y+ {, ?) R& T" L
Parametric statistics, 参数统计
/ }5 D. F1 `6 T& _! ~, JParametric test, 参数检验0 [4 h: j4 \7 ?1 t ] i1 k
Partial correlation, 偏相关' Z# o9 k6 Q0 h4 _
Partial regression, 偏回归5 q2 U4 S4 r0 O# y# ?* V- @4 e( K
Partial sorting, 偏排序; _$ k" [) K8 R
Partials residuals, 偏残差6 i3 F* s, N- A2 `
Pattern, 模式& w; N( v8 M: X% J$ ]
Pearson curves, 皮尔逊曲线
, C! j- H& Z1 z' B' d9 r1 R/ |Peeling, 退层, S$ b0 u& L4 ?6 e/ |$ p, d% e+ \
Percent bar graph, 百分条形图
9 a) d" ~. R) D. xPercentage, 百分比. X/ O1 T7 b+ J- e/ }; z3 J
Percentile, 百分位数4 @& l% x) H/ A( B# w; i3 w
Percentile curves, 百分位曲线
1 Z% Z6 r+ ~+ vPeriodicity, 周期性
8 Y, B5 ?3 }% R# w6 ^' u. aPermutation, 排列
" p$ U; C' p2 {5 a* W6 c: YP-estimator, P估计量
9 i) x/ ]# l3 n R+ P, ZPie graph, 饼图3 |1 q& Y7 T* f5 m* S/ x
Pitman estimator, 皮特曼估计量
3 _ U+ j) y4 [8 L2 \! T: pPivot, 枢轴量7 W5 t! z3 }4 x" H$ b2 X0 J5 }
Planar, 平坦' x& P$ X& Q; b* {: y
Planar assumption, 平面的假设7 Z& p; }) b; j
PLANCARDS, 生成试验的计划卡4 q3 ~6 ~$ g. [7 P) [
Point estimation, 点估计+ m* Q) ^( y: `
Poisson distribution, 泊松分布3 Q; g9 u7 G8 f/ u# M* D+ c; ~
Polishing, 平滑0 @% ^8 y' C8 g9 ~! Q+ [) m1 m
Polled standard deviation, 合并标准差
8 U( H; ^4 z; A) E; ^. Q% u- ?Polled variance, 合并方差
( l6 M9 l: Q7 ^) @) g1 a0 ^Polygon, 多边图
9 O( w, z T8 C2 o' M8 ^* A9 V; Q3 KPolynomial, 多项式
- E$ G5 X4 I' G" RPolynomial curve, 多项式曲线0 T- ?+ z& n; E3 a) o/ k0 n
Population, 总体$ G+ P$ W7 B5 k* b9 c6 ?
Population attributable risk, 人群归因危险度
6 R! g$ g8 V; iPositive correlation, 正相关
, o8 i0 o4 {' C' _3 E0 fPositively skewed, 正偏
0 w; |7 t" J$ {3 A+ QPosterior distribution, 后验分布/ [% X5 P) D5 x8 y
Power of a test, 检验效能" ~" {" g1 J( q- Z& W( \, v
Precision, 精密度9 B$ _$ a& M( D
Predicted value, 预测值
4 C3 I- t+ f* N6 q* P% f5 J, {+ S0 KPreliminary analysis, 预备性分析
, D1 p8 }+ O! Q" U! ]Principal component analysis, 主成分分析
7 p0 P t0 c! MPrior distribution, 先验分布- U4 N3 | {! \- G6 p2 ?
Prior probability, 先验概率
% q" k% T+ U; b, ~0 g: @Probabilistic model, 概率模型
2 z0 Z% G0 _: { p4 mprobability, 概率+ t. o# W" X. r5 n
Probability density, 概率密度- `9 ^- S- D1 v! m+ b. w. M
Product moment, 乘积矩/协方差& J( ]/ D+ O& D+ K5 k2 C- V4 r
Profile trace, 截面迹图
" f" d) a7 R1 uProportion, 比/构成比
; \+ h3 ^8 {- ?. r9 Y# k" ]9 rProportion allocation in stratified random sampling, 按比例分层随机抽样- [7 n* G% ]# o! A3 e
Proportionate, 成比例
$ @! B% Y. J7 X" n2 mProportionate sub-class numbers, 成比例次级组含量
& M- E3 o5 D: e9 z. dProspective study, 前瞻性调查
! Z: K' N) U4 Y0 o/ n- LProximities, 亲近性 1 q F* b% t1 x: Q" O1 }
Pseudo F test, 近似F检验
. s( S, U2 o W# ]. VPseudo model, 近似模型0 ]3 N. U, ~" @; i" s
Pseudosigma, 伪标准差
! S F5 \6 Y3 O6 @Purposive sampling, 有目的抽样
& o* U# F) W$ g5 d# w" b& p9 HQR decomposition, QR分解+ d( p( S0 s4 E9 W
Quadratic approximation, 二次近似
% Q r" `0 \( @* b/ j) m wQualitative classification, 属性分类
9 Z+ l+ U: h, \) @) @Qualitative method, 定性方法5 B# q! B4 n7 D, f% l
Quantile-quantile plot, 分位数-分位数图/Q-Q图3 v% L8 t5 w+ g5 V7 c- S* K s3 a
Quantitative analysis, 定量分析% t8 A" r4 k# Y7 j
Quartile, 四分位数. [. m( u- V+ |* Y3 P+ U
Quick Cluster, 快速聚类) q6 m" A; f. K9 ~/ \; \) o; P; o
Radix sort, 基数排序1 \$ H( t4 F1 z/ ~5 }; s# z0 B' H& a# _
Random allocation, 随机化分组
; D) i& C0 K( Z( f( R0 E9 L: iRandom blocks design, 随机区组设计$ ^1 ], j0 g+ L( V2 |
Random event, 随机事件: \ i! G4 V, s9 M; y7 Z' T
Randomization, 随机化- k$ m1 H3 c$ _" X) Y o y
Range, 极差/全距9 q- X; X- \5 ^) `2 s1 B( P
Rank correlation, 等级相关
2 ]0 [$ ?# O" @7 TRank sum test, 秩和检验* V+ e8 @) P+ F) v
Rank test, 秩检验* }$ n, q0 w+ ], Z! Z; e& X
Ranked data, 等级资料
5 {& J7 [3 f0 ]Rate, 比率/ B( e K" ], X, o
Ratio, 比例
0 {/ ~' V% G/ t& c$ ~$ H5 \/ bRaw data, 原始资料
4 I3 j- T: m j1 n0 b! U# ORaw residual, 原始残差
" I5 {$ t8 E; N- [; F# o% [Rayleigh's test, 雷氏检验1 s6 l( |! U+ \9 S0 d# z' ]' H
Rayleigh's Z, 雷氏Z值 9 Z5 k, W0 [( k3 G
Reciprocal, 倒数3 G# Z' m2 F' C" ]9 [& E
Reciprocal transformation, 倒数变换7 Z3 S, W$ G1 U1 S
Recording, 记录2 G. @" e$ V3 ?- V6 E; L6 q
Redescending estimators, 回降估计量6 w$ N/ b: T: P% r3 \ J) L3 b
Reducing dimensions, 降维
, u0 I" E. V2 Z/ _" l! cRe-expression, 重新表达, n! @# K- o3 P6 Z7 A- P: t
Reference set, 标准组* k) j# z% A" Y1 v6 I" n
Region of acceptance, 接受域9 o+ a* L$ V; M+ z# u
Regression coefficient, 回归系数
' F3 G- r- w5 ZRegression sum of square, 回归平方和
4 e" e4 A( P5 Z3 ^% V7 k# i8 WRejection point, 拒绝点
6 C& W: R( H, c) RRelative dispersion, 相对离散度
4 `( [3 c7 v- j& k `3 P3 aRelative number, 相对数
/ s! j/ q2 ^' l4 B6 Y" y) EReliability, 可靠性
/ D$ T. L. w8 M) H3 W( QReparametrization, 重新设置参数! W# f! x! m; W$ o" k M
Replication, 重复
' H0 f+ y) o. ?6 ~; mReport Summaries, 报告摘要
. t7 i- v6 i' a! tResidual sum of square, 剩余平方和
2 x. y1 I. S- X$ t) pResistance, 耐抗性
" _/ x+ I R& y$ S& C% Q B; m( pResistant line, 耐抗线 y% h/ v. U# L. [1 n0 k/ ^
Resistant technique, 耐抗技术, ~, ^9 i- w$ ~7 c& {
R-estimator of location, 位置R估计量, c. u. ^/ K- I i& [
R-estimator of scale, 尺度R估计量
" B* e! i0 C( `- _! Q. l: v. @Retrospective study, 回顾性调查0 }5 g; p$ E7 L! \; O
Ridge trace, 岭迹5 a* w3 i7 c" T! |% u9 [
Ridit analysis, Ridit分析
$ T9 D: A1 h8 K8 oRotation, 旋转: g5 \: {0 c4 T" c7 F6 U! a6 a
Rounding, 舍入6 e( k$ z6 s0 a! V
Row, 行
& h- s9 X! E( W; I6 {+ T$ Y1 GRow effects, 行效应- v: A4 O: i8 ^3 y9 o: x
Row factor, 行因素0 L6 n, i# i7 q4 X0 [+ c) y {
RXC table, RXC表
3 s }/ m+ e( G. e6 ]' K, ySample, 样本
& I1 h0 P& s6 f4 p- U [Sample regression coefficient, 样本回归系数
& Q4 M. H7 G. j. i. K; K9 b, [Sample size, 样本量7 e$ u( K: x1 j6 V& C/ B
Sample standard deviation, 样本标准差
/ z) m2 N+ D9 [, p& fSampling error, 抽样误差( X# N5 W5 B2 D
SAS(Statistical analysis system ), SAS统计软件包, S/ y* w: D& Z2 y$ l4 x! j
Scale, 尺度/量表
# u( q/ G2 K7 v" E1 M; QScatter diagram, 散点图
& p- n/ c7 z$ QSchematic plot, 示意图/简图
, L7 V3 P' S- I% E" `Score test, 计分检验" H2 ?: ^3 c' e4 A' x3 Q) E( ?
Screening, 筛检! O9 C& {6 B& ~+ Y! x
SEASON, 季节分析 ; |" z( }" g5 X9 w* M( H4 A% R
Second derivative, 二阶导数/ n$ P% k. O2 z/ L9 N: l
Second principal component, 第二主成分
1 g1 p3 m( c9 [0 B) ]+ Y9 `SEM (Structural equation modeling), 结构化方程模型
2 {$ C0 H, @- s. ~. wSemi-logarithmic graph, 半对数图: ? a; |9 j, C* N, }
Semi-logarithmic paper, 半对数格纸2 d% V: ]: S5 o8 `: i
Sensitivity curve, 敏感度曲线0 `2 q" F; Y( f
Sequential analysis, 贯序分析2 d7 L6 [, C- B* l: z% `
Sequential data set, 顺序数据集
Z3 Q* ^8 Z3 r# FSequential design, 贯序设计
, i- x+ g3 W0 D8 t1 t3 YSequential method, 贯序法8 W) Q$ Z$ j$ z$ S( Z5 x1 U! U
Sequential test, 贯序检验法 Y0 P1 b; P, @* V* n; C
Serial tests, 系列试验
( o7 P. P, x- cShort-cut method, 简捷法 - w. `) `9 S0 A$ ^2 n% l3 @
Sigmoid curve, S形曲线" j" n+ B3 j! ~3 v# B
Sign function, 正负号函数; ?* p% R+ u7 J! _
Sign test, 符号检验2 @+ J n. x" \ \3 A% v& a+ u5 T
Signed rank, 符号秩( ?; M2 R c! c. {/ _- B' v. H5 d
Significance test, 显著性检验
/ r2 X* v# _# h8 |, _ jSignificant figure, 有效数字
5 x: I2 t4 ^9 S" r: W0 V8 gSimple cluster sampling, 简单整群抽样
: I: Q( q; z* f ?0 N1 B5 xSimple correlation, 简单相关
9 B3 p. g3 ]8 z* h( T7 X! BSimple random sampling, 简单随机抽样
% g1 S# ]/ s0 S$ c8 _" jSimple regression, 简单回归/ x% x( B5 {5 ~: {9 R$ Y- U
simple table, 简单表
8 V4 |; ]) y0 O6 k1 ^3 P6 iSine estimator, 正弦估计量4 F5 F- f* O7 y
Single-valued estimate, 单值估计4 n$ n" p6 {0 o) Y* v0 n
Singular matrix, 奇异矩阵
+ T$ d& U* `/ i# ASkewed distribution, 偏斜分布3 ~0 j9 N: Q; d
Skewness, 偏度
3 _ L5 Y: c6 B: Z$ w6 L" [Slash distribution, 斜线分布: j6 {; ?9 y/ q; E' d
Slope, 斜率
) K4 F+ `( l, H m5 KSmirnov test, 斯米尔诺夫检验2 w) f' L0 o: o( z# V
Source of variation, 变异来源
7 H* X6 `# ?0 Z* `/ G; DSpearman rank correlation, 斯皮尔曼等级相关
n5 F& Y7 t2 j6 W. Z2 mSpecific factor, 特殊因子
: I8 U3 u7 V# g0 x& {8 ?; qSpecific factor variance, 特殊因子方差( u/ S8 G. Z/ V/ |5 w/ n& X
Spectra , 频谱/ R! g$ ?. Z9 U0 |1 w. s
Spherical distribution, 球型正态分布2 E6 D- T. ?& v+ u0 v
Spread, 展布
- j5 C: D) z# v. v. J9 I9 TSPSS(Statistical package for the social science), SPSS统计软件包% o8 r E$ T1 |- y o4 Z! V5 [+ K
Spurious correlation, 假性相关
5 h" ~& d- y& ~/ [" vSquare root transformation, 平方根变换
% |: e" r6 C; J8 S6 P# RStabilizing variance, 稳定方差
5 y; c+ w3 v! ZStandard deviation, 标准差
! U4 G0 p; C B2 }2 G9 A; Y' G) b& n' mStandard error, 标准误5 b4 f! T7 a* R/ P8 s5 T- a
Standard error of difference, 差别的标准误
. g/ r) B1 t* Z- m6 l% wStandard error of estimate, 标准估计误差' D7 P9 I% B8 R7 z
Standard error of rate, 率的标准误8 u% Q' L( ] }, ~
Standard normal distribution, 标准正态分布
- r* _9 b0 B# _1 z: wStandardization, 标准化
/ y! `" o# f9 Q8 g' s* n, x- k7 e! sStarting value, 起始值
- k6 ]8 p# h$ V' @% a+ l) CStatistic, 统计量
0 h! ]" C7 q/ ?Statistical control, 统计控制
/ N2 h o3 ]# g1 F# n8 e$ dStatistical graph, 统计图
6 t& C& a- e! [' e! B! P2 T+ HStatistical inference, 统计推断
6 r9 E0 Q5 m. ]1 f% @! ^Statistical table, 统计表9 l' p Y* ^* Q( x6 v) c6 v- m6 ^
Steepest descent, 最速下降法 C2 }* Y) s4 G) ^4 x8 k+ |: t
Stem and leaf display, 茎叶图
. ?+ m8 \' r: H" j! yStep factor, 步长因子4 Y; _" K* V+ R, Z: M
Stepwise regression, 逐步回归
) `- p3 M F. F* b# SStorage, 存3 v4 O* t7 ~# B y/ c
Strata, 层（复数）, ]+ {9 s# O& }, J5 x) l7 ?
Stratified sampling, 分层抽样
; k/ z3 s& P' y2 V8 |Stratified sampling, 分层抽样: m" x( V# m d+ Z
Strength, 强度
# e9 {9 _, R M: ZStringency, 严密性
/ X( M5 a* `% p9 R' X# o% eStructural relationship, 结构关系
% d" J1 A- h, `: o) G% J4 }Studentized residual, 学生化残差/t化残差0 B1 G* b! H, d; ~! a
Sub-class numbers, 次级组含量
9 f1 |9 k, p$ {3 X* n& b0 jSubdividing, 分割
$ P- ^* L9 j; ~+ q- ?Sufficient statistic, 充分统计量5 } _4 F$ D5 c
Sum of products, 积和
4 d0 R2 j8 E- I" i* U- [! x7 h! lSum of squares, 离差平方和" n; o2 M5 L% [/ @: ? U! `+ p* L
Sum of squares about regression, 回归平方和
; V$ j1 J. g! SSum of squares between groups, 组间平方和 K" v; B; h+ p. {
Sum of squares of partial regression, 偏回归平方和
4 n$ Q% K3 s" C r4 O5 t9 zSure event, 必然事件6 _3 a5 ?$ Z/ J' h: @- c' u$ u3 r
Survey, 调查
1 [5 o1 ]( d! {. ^# g" D* N- bSurvival, 生存分析
7 V9 ?6 @5 E- `4 rSurvival rate, 生存率/ j* i4 N) U+ V" p
Suspended root gram, 悬吊根图/ R+ D2 @# o* J4 ]
Symmetry, 对称, e3 @/ T; v0 k
Systematic error, 系统误差
% `1 S. a7 r+ g G* k# C# iSystematic sampling, 系统抽样
7 i( s" e6 i6 S4 fTags, 标签
4 W7 ]% _) y1 YTail area, 尾部面积
3 Y1 q! x/ U% V, `% g# B5 pTail length, 尾长
# z' o$ v1 I; O8 |1 M9 P' P7 p' YTail weight, 尾重% j6 u/ q. X! r4 _7 O
Tangent line, 切线
% @; T& s+ y aTarget distribution, 目标分布
) {+ \8 u6 K4 T* s1 {& _Taylor series, 泰勒级数7 m& l% q- u' j7 X& j% _
Tendency of dispersion, 离散趋势) E3 N8 X, A% K, k5 @! K
Testing of hypotheses, 假设检验9 q2 G h2 ~2 Y: i! U( R
Theoretical frequency, 理论频数' H7 w# _1 J9 D2 b) z* Y
Time series, 时间序列5 I! r" J; z3 W; G5 O" ]8 G, U) f
Tolerance interval, 容忍区间
1 D0 w) x4 B k( |8 D3 W9 Z' L& ETolerance lower limit, 容忍下限; h! s' u8 I9 n! g! @
Tolerance upper limit, 容忍上限
2 N" @ ?+ G9 v, Q( GTorsion, 扰率
) t7 J7 F* i( E# E5 E2 STotal sum of square, 总平方和
$ ~" ~6 O$ u% \Total variation, 总变异
& b; G& p( D0 }% G* b2 JTransformation, 转换7 N4 r/ Z. u% C" Y$ ^ Q. n* o" K
Treatment, 处理. {2 W& e+ n- {
Trend, 趋势
2 f1 \. W+ K0 z) lTrend of percentage, 百分比趋势
" ^% _/ |- Z5 RTrial, 试验$ g+ Y6 k$ f) }3 _4 M1 V$ _
Trial and error method, 试错法$ n) J5 ?0 s* N3 X
Tuning constant, 细调常数2 N+ C" V+ Q* n4 G3 f
Two sided test, 双向检验
0 I4 @: N4 U( f5 {Two-stage least squares, 二阶最小平方
) p6 ?& N; O; `Two-stage sampling, 二阶段抽样
0 F+ r/ ?7 q1 h' e. {1 X( ~; O) sTwo-tailed test, 双侧检验2 K) V8 v9 w; {9 R3 X/ f2 i
Two-way analysis of variance, 双因素方差分析
- v" ?+ p( M, t, E4 V5 ETwo-way table, 双向表
) \8 T! O" }5 u+ i0 ^3 [Type I error, 一类错误/α错误
0 j0 L8 y/ e' c4 |" E# p) TType II error, 二类错误/β错误0 ]% d3 g# S/ O/ I5 P9 T4 I
UMVU, 方差一致最小无偏估计简称1 d, r8 Q8 ] @; h0 z! R) c
Unbiased estimate, 无偏估计
, R/ Z6 E" b4 s# A% Y; n G( r6 WUnconstrained nonlinear regression , 无约束非线性回归
+ |0 }3 s0 B; i- [9 l* pUnequal subclass number, 不等次级组含量
0 S/ S& n8 D/ ]5 s: v7 DUngrouped data, 不分组资料
: l# E% Y, R ]4 y# @Uniform coordinate, 均匀坐标, P) v; k: T/ }+ D* b, ?
Uniform distribution, 均匀分布
" q+ K' A0 j }2 i3 H: CUniformly minimum variance unbiased estimate, 方差一致最小无偏估计
5 G+ h4 e5 `! P/ ~Unit, 单元
& Z8 f$ Z% l1 |3 S5 TUnordered categories, 无序分类
$ z: R* l( z7 v5 D% h' KUpper limit, 上限, O, ]9 t0 m. B$ T
Upward rank, 升秩
8 A5 C8 y$ E- q" v5 gVague concept, 模糊概念
- H- ~7 b1 z' c C b3 `3 F3 xValidity, 有效性
- q/ P' ^: a4 z$ p6 U% Z7 aVARCOMP (Variance component estimation), 方差元素估计 C' ^6 D8 L/ ~2 i. J
Variability, 变异性
8 H7 a8 s& ?* a4 `Variable, 变量
0 R8 p5 r) {2 _: _ J4 ~4 fVariance, 方差
' q5 X) y. I1 A4 cVariation, 变异
6 Z3 c! r1 D( QVarimax orthogonal rotation, 方差最大正交旋转) ^/ n9 a# t2 _6 h
Volume of distribution, 容积- b \6 N( @' ?' F' I8 O) q
W test, W检验
) T) J, r9 C; B, j6 pWeibull distribution, 威布尔分布
: B$ I) D ?/ H) a. h3 gWeight, 权数9 B r5 C; J, [
Weighted Chi-square test, 加权卡方检验/Cochran检验2 Z6 M- e9 U" z+ A) n
Weighted linear regression method, 加权直线回归
2 L C' ?; S* ]Weighted mean, 加权平均数8 O+ L( Q* W- y
Weighted mean square, 加权平均方差
9 q$ G! |) L `. _! v3 pWeighted sum of square, 加权平方和5 `3 I) j7 C; H! V W1 {3 ?; d1 j
Weighting coefficient, 权重系数+ R3 u7 u# u) k' _# _# e5 \
Weighting method, 加权法 " M5 i+ o% W$ e5 [! n
W-estimation, W估计量. e2 s7 ]6 h$ [8 y! W0 }- T
W-estimation of location, 位置W估计量
& [: d* l7 O, [Width, 宽度
0 d! m5 A* `2 ^Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验- F0 W: m7 i- [- M% L, M
Wild point, 野点/狂点5 E; n; \3 r) P' A
Wild value, 野值/狂值9 }, x, W2 l# T* {) }
Winsorized mean, 缩尾均值; ]8 } Z/ ?; z7 L/ L
Withdraw, 失访 ; f0 ~: n1 Y$ p, @
Youden's index, 尤登指数$ V7 _6 F$ S( \! {4 a
Z test, Z检验& c2 l& ]+ V' e* Y( t$ h6 S! `
Zero correlation, 零相关
! e, r5 Z, Z9 n( QZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
