|
Absolute deviation, 绝对离差
9 h9 {6 _1 J p2 x1 D0 LAbsolute number, 绝对数3 S$ R- u- y! Q; o4 Y
Absolute residuals, 绝对残差
* D% ?7 E, O% \9 j$ k. @) {4 KAcceleration array, 加速度立体阵
5 Y/ q" L& {; r$ O; _8 WAcceleration in an arbitrary direction, 任意方向上的加速度
+ L; l9 g, {0 zAcceleration normal, 法向加速度4 Z2 W* K5 h+ S4 ?& v" U, ?( E4 g
Acceleration space dimension, 加速度空间的维数
8 x: L0 a" l( N8 f. j5 b' T% qAcceleration tangential, 切向加速度7 e" t$ T# Z$ ]0 T
Acceleration vector, 加速度向量/ a) S) n, `! {0 h+ N2 u, Q$ \
Acceptable hypothesis, 可接受假设, Z) U2 s6 Y7 a6 P6 @
Accumulation, 累积
! Q( E' ~$ z/ \8 ]: iAccuracy, 准确度
. c5 H6 I3 R! a# i* y0 Z/ fActual frequency, 实际频数
+ i$ H; u. ?" y) k" g9 BAdaptive estimator, 自适应估计量0 [$ ^" R2 h# [! s
Addition, 相加 g. ~/ U6 R1 X% q8 S$ E
Addition theorem, 加法定理' M7 G$ Z) V. ^4 @3 F; ~( g. k
Additivity, 可加性( V5 e6 {/ a4 ~
Adjusted rate, 调整率% W8 Q7 n8 k6 k! k
Adjusted value, 校正值! T6 S, N, b, a3 k2 L k. w5 ?
Admissible error, 容许误差
: W6 K+ i2 E; s# UAggregation, 聚集性
# W/ Z+ I, Q6 D! sAlternative hypothesis, 备择假设
- P- D H' f8 H- h, m0 k1 g0 t5 GAmong groups, 组间% @; U5 T! Z8 R, f y; H F1 I
Amounts, 总量$ v8 g* f1 Q* V4 V: x9 s2 V
Analysis of correlation, 相关分析- y" a- {4 k1 u! x) U
Analysis of covariance, 协方差分析
* x& Y5 o6 g0 P' J; v* rAnalysis of regression, 回归分析
1 ]" A7 h: s$ m$ M5 p3 jAnalysis of time series, 时间序列分析
$ M* s$ n/ p9 o# z" J: M, xAnalysis of variance, 方差分析* n; I3 d0 s- L# |- L! R: i
Angular transformation, 角转换/ s8 m- {& ?1 `8 F/ R
ANOVA (analysis of variance), 方差分析
: M. v; ]& |) S% X0 m! g- jANOVA Models, 方差分析模型
7 w1 p3 a4 L( w9 mArcing, 弧/弧旋
7 e6 y3 S0 h5 [8 N5 y" h5 UArcsine transformation, 反正弦变换
, C( l3 G, T" J1 A7 Q6 f5 yArea under the curve, 曲线面积# X+ l! C! o' _! C! v, |
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 7 ^# Q: N8 x# P5 O
ARIMA, 季节和非季节性单变量模型的极大似然估计 ' w) _# |. |! f( F3 |6 ~
Arithmetic grid paper, 算术格纸
- `5 x) N+ ]/ d8 p8 {Arithmetic mean, 算术平均数
5 V6 j5 j( t/ o5 o' B/ R, d8 N& o! ^! WArrhenius relation, 艾恩尼斯关系
: R, y6 w7 T! V0 D% G# KAssessing fit, 拟合的评估
- ^8 l/ a" ~$ k1 J( v7 V K1 RAssociative laws, 结合律5 [( a3 z- K5 Y; Q+ ?
Asymmetric distribution, 非对称分布( K+ a8 }# R( z3 q
Asymptotic bias, 渐近偏倚* C5 M7 F8 v0 ^& h5 r4 q
Asymptotic efficiency, 渐近效率4 t+ Y6 O+ z" X/ U2 _
Asymptotic variance, 渐近方差6 \/ K# s3 i* L: A
Attributable risk, 归因危险度5 S' Q9 T1 I6 N* `
Attribute data, 属性资料1 [6 Z9 X# `; O
Attribution, 属性
# e: E9 d+ \, L2 P; y7 [3 sAutocorrelation, 自相关' f, J3 y. l& A7 a( s; E4 D
Autocorrelation of residuals, 残差的自相关
+ t: `. F' M; N7 P" ^" xAverage, 平均数. g2 o4 A; l" Y9 @+ K8 ~
Average confidence interval length, 平均置信区间长度
/ h- d+ |+ T1 H& }: l8 }: D3 aAverage growth rate, 平均增长率+ I( v+ k6 l# L4 |, w3 l
Bar chart, 条形图% Z. r7 `* u3 {* E" P
Bar graph, 条形图
" I& P) ^: V: b3 i' @) cBase period, 基期% l$ ]# P! ]) Z, _
Bayes' theorem , Bayes定理" N0 p! U6 m& U
Bell-shaped curve, 钟形曲线
/ j. ~+ o" L' |9 H* @Bernoulli distribution, 伯努力分布
( L; X6 e; n+ S9 hBest-trim estimator, 最好切尾估计量0 W4 Q8 x& {* Y: K% ~/ E
Bias, 偏性
7 U& |5 ?5 z$ |- fBinary logistic regression, 二元逻辑斯蒂回归
3 M$ g: {0 F6 c; w$ @Binomial distribution, 二项分布/ g4 B) f) m3 S. A" S
Bisquare, 双平方
: q3 T, ^) [! W& \: D& d# dBivariate Correlate, 二变量相关0 H* M0 v. l- N1 @/ S0 X
Bivariate normal distribution, 双变量正态分布0 ~! F* q& S1 ?4 g' r- }
Bivariate normal population, 双变量正态总体3 {; E# y3 M2 M- ^6 ~; `
Biweight interval, 双权区间
$ E/ ]" U0 h. N) ^6 u) A& hBiweight M-estimator, 双权M估计量( b( a1 }+ i" B( T
Block, 区组/配伍组
& H. d, s4 f) c! aBMDP(Biomedical computer programs), BMDP统计软件包. O/ a4 v/ H9 M+ g) ~( l3 L. g" z
Boxplots, 箱线图/箱尾图
6 W2 Q5 V. B' F6 lBreakdown bound, 崩溃界/崩溃点( L K: U6 A) J' h7 x4 e1 s
Canonical correlation, 典型相关" t& @- Y/ X8 A- o# u
Caption, 纵标目. K: K2 i( w- t
Case-control study, 病例对照研究3 e- R; V ~9 E
Categorical variable, 分类变量
2 M4 h+ q& d$ y. J) C8 mCatenary, 悬链线0 M9 g9 W, a" G+ R, P
Cauchy distribution, 柯西分布
* y3 R3 i/ o) ?: f' HCause-and-effect relationship, 因果关系
7 X8 ]1 ]3 a. c3 z, WCell, 单元+ U( Z% v) g5 q* G
Censoring, 终检: T' _, a$ p! F
Center of symmetry, 对称中心5 T# w. v+ z3 @9 P. F
Centering and scaling, 中心化和定标) R1 J3 ` q2 F2 \4 v
Central tendency, 集中趋势+ `/ t1 j: u0 }% n$ R
Central value, 中心值
3 z; @& r9 g6 r$ R3 i7 r: @- lCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测/ N# L( R& B* c' Q( ^
Chance, 机遇9 F+ r+ y' n% I
Chance error, 随机误差
$ m k* k; @" _2 l5 r3 lChance variable, 随机变量8 A8 ~/ T/ I E4 ^0 o
Characteristic equation, 特征方程6 h4 Z: p0 P( r( t* u& e7 |
Characteristic root, 特征根2 e( L$ y* q8 r9 G# p: ?
Characteristic vector, 特征向量9 V0 I4 j* ~( C0 V7 r
Chebshev criterion of fit, 拟合的切比雪夫准则; Y5 o1 d: J8 r( ~8 l, u1 @
Chernoff faces, 切尔诺夫脸谱图
) A" @9 {* L% d+ l- BChi-square test, 卡方检验/χ2检验
! Q5 \9 H' ?0 |! I1 MCholeskey decomposition, 乔洛斯基分解$ X1 t2 A% s, d7 O% p8 d
Circle chart, 圆图 # F: Q* U; R' a8 D$ ~: f
Class interval, 组距
{5 A' |! M5 a8 }7 K/ QClass mid-value, 组中值
. v4 ?- C$ |% Z7 oClass upper limit, 组上限8 }% }3 B9 x; _* P# Y! o# D
Classified variable, 分类变量3 B& F2 q# D4 p+ b
Cluster analysis, 聚类分析* K, a' ^4 v/ e+ g+ }* X
Cluster sampling, 整群抽样
+ S6 t: Y% M7 ~1 t: S1 }Code, 代码
$ B1 x2 y$ J5 B( w9 p# b4 x* }1 NCoded data, 编码数据
. ]; }0 b U( @" f9 t- P- B P+ l, kCoding, 编码
: ]; k! v( d. \) d( ?1 f5 |Coefficient of contingency, 列联系数( |5 I1 O$ ?, b. z6 ~3 Y( k% ]1 J
Coefficient of determination, 决定系数
$ U" z# N. I, @8 F5 y' V5 E) \) a( |Coefficient of multiple correlation, 多重相关系数
6 v% X6 `( N4 Y, `9 R0 f8 D; k9 VCoefficient of partial correlation, 偏相关系数; e c' } @; n6 |' c" d9 f. M
Coefficient of production-moment correlation, 积差相关系数$ j# f9 h9 W& B; J
Coefficient of rank correlation, 等级相关系数
3 ~4 O( g$ M( _6 H/ T8 NCoefficient of regression, 回归系数
& ?7 N) r* Z; I# YCoefficient of skewness, 偏度系数
; F {* M: N3 CCoefficient of variation, 变异系数
3 g8 U; U$ M2 R; X2 t, YCohort study, 队列研究
0 ~: u) } ~2 r: t% z) J8 [7 C" CColumn, 列
$ l# m2 j% M- ~( i/ AColumn effect, 列效应
2 X" B. O) D0 i0 h0 o, ?Column factor, 列因素8 w7 l- ]# H& Z5 j( j% x
Combination pool, 合并1 A. }; T/ Q- V" G' H% V5 G# D
Combinative table, 组合表; O, o, f+ b/ S/ e; n; u, x' F5 a
Common factor, 共性因子
6 e$ ~( }- }7 i4 M4 ?+ zCommon regression coefficient, 公共回归系数' U( s5 a) x4 ~' Q; L+ o
Common value, 共同值3 B$ c4 F- i8 x `
Common variance, 公共方差
! l- E$ [3 u; \" h U4 cCommon variation, 公共变异
7 m* ]+ r! j' f U2 SCommunality variance, 共性方差, v$ x: R' N/ m% k. b* R0 b
Comparability, 可比性
" v: N. d; A! e+ E1 N6 c5 V' DComparison of bathes, 批比较
; m5 U( p- C6 J" s# tComparison value, 比较值
5 i3 C( M, }) _' e* M) pCompartment model, 分部模型
6 s% s( {& m3 z F$ G1 bCompassion, 伸缩
. p4 I( C7 l) E- yComplement of an event, 补事件
) x. o q6 p+ U) K& k4 F) U: ]* ZComplete association, 完全正相关" f; z `) F1 u# p* n" `: i
Complete dissociation, 完全不相关6 A4 E& |3 Y( d0 q j# @, I, {
Complete statistics, 完备统计量& P9 j, w" F- k7 Y; e
Completely randomized design, 完全随机化设计
9 A+ A6 A' F2 p% d _ }- b& uComposite event, 联合事件' w. H) P; v6 o: z9 |! D. K
Composite events, 复合事件
' N& S2 e( G: N4 K) Y ~Concavity, 凹性8 C: k! j q5 N6 z A |2 B" J
Conditional expectation, 条件期望- R; \' }" v" ]4 {
Conditional likelihood, 条件似然7 R, Y! b! N) L1 t v* n
Conditional probability, 条件概率
! z3 O# A$ Y* rConditionally linear, 依条件线性0 Q9 L2 o/ ?, v% A+ [
Confidence interval, 置信区间$ _ T2 B$ O& d2 [/ A6 U
Confidence limit, 置信限! H6 |; ^# d+ W! l2 G
Confidence lower limit, 置信下限: q+ J' ~: \2 e% v7 y
Confidence upper limit, 置信上限 H3 P. C0 j \+ \
Confirmatory Factor Analysis , 验证性因子分析
. g$ g. w& i& U! p# [9 lConfirmatory research, 证实性实验研究
7 A0 c* A- w: e3 J+ uConfounding factor, 混杂因素- _! O C' {9 T% c% ?
Conjoint, 联合分析1 @0 K) H6 C8 `
Consistency, 相合性& w$ J) P* n3 V4 P- d
Consistency check, 一致性检验- Q# y" o p" O0 B* |6 A
Consistent asymptotically normal estimate, 相合渐近正态估计
) ^3 i( F7 Q2 W$ g. [1 OConsistent estimate, 相合估计
1 m r5 D- u$ z0 o" L6 J0 M- PConstrained nonlinear regression, 受约束非线性回归
9 I2 z' j- B dConstraint, 约束
! B: D R' f$ D% D e/ W& RContaminated distribution, 污染分布
8 C2 a J; J7 y: ^1 d1 VContaminated Gausssian, 污染高斯分布
( I0 ?; Z0 X4 M. a) e% D' sContaminated normal distribution, 污染正态分布) p+ X2 X% o @$ t
Contamination, 污染1 k3 y. _* w, n! J
Contamination model, 污染模型
1 p& F& K, k+ ] c+ ?* L: wContingency table, 列联表
' X) J5 ~6 e) ?+ b6 vContour, 边界线1 i, n3 o( F' k# b5 g8 T7 F& o/ o
Contribution rate, 贡献率
# ]+ V T" j' l: ^: I/ x2 ~; ?1 SControl, 对照' k: F7 ]9 H! k2 M
Controlled experiments, 对照实验# ^+ A) x3 ~& o7 Q
Conventional depth, 常规深度
0 V& P: d3 l, oConvolution, 卷积
$ \( q6 H m# j" PCorrected factor, 校正因子& h3 g( G; o% n0 H) r( ]2 N
Corrected mean, 校正均值) _# f: z9 z n. {* s7 x7 m' Y
Correction coefficient, 校正系数' |% ^1 D9 i% P3 z
Correctness, 正确性( C, o' G. W5 [6 b* j- o+ o1 s4 S
Correlation coefficient, 相关系数
$ y U8 A7 a. u) V" F: i" UCorrelation index, 相关指数
. K& s4 C' q/ C/ S6 SCorrespondence, 对应
$ U1 k1 a% ~" ^, K/ \Counting, 计数
) v& l2 q9 y! aCounts, 计数/频数$ |) Q/ B! G5 E& r
Covariance, 协方差7 ]3 P# p+ P/ R
Covariant, 共变 1 g) M: o) A$ x" ^' ?
Cox Regression, Cox回归
/ E+ Z+ m0 Q- ?) C3 ]Criteria for fitting, 拟合准则$ j' z# n+ p Q' e ?" D
Criteria of least squares, 最小二乘准则3 Q( e- A& ?: T( `. N
Critical ratio, 临界比
' H7 A2 K! y: eCritical region, 拒绝域
5 v7 t: l0 |; B, DCritical value, 临界值( t! N3 X4 O! N2 w+ b, D. p; }! Z
Cross-over design, 交叉设计! e9 T: ]) u( c# l* v" i
Cross-section analysis, 横断面分析
! `3 \* n! t3 F# f* d& U5 vCross-section survey, 横断面调查
5 H& n4 o% Z8 bCrosstabs , 交叉表 8 ?9 Z6 ]0 I/ c& R! u
Cross-tabulation table, 复合表
. S- K$ X$ `1 o+ n* _* qCube root, 立方根
& D5 W4 }2 R4 z% j( y" l) u Z/ zCumulative distribution function, 分布函数! Z/ C% \7 @& o: w- [2 ?! F
Cumulative probability, 累计概率# u7 A4 N3 L8 s1 o2 o
Curvature, 曲率/弯曲( k5 Z* P% b+ `, t! }
Curvature, 曲率+ H! \' j, J& d( l2 Q
Curve fit , 曲线拟和
1 u4 a/ f( Y4 @; j+ D' }6 CCurve fitting, 曲线拟合
9 c/ ?4 q. n* f1 N. hCurvilinear regression, 曲线回归6 R- K+ l) M! g2 `& F% `
Curvilinear relation, 曲线关系
! b. ?0 i) g! ?' K5 t* z( y' zCut-and-try method, 尝试法
( G% r+ E( }/ y5 mCycle, 周期
' N& `& N+ _7 F* ?; U1 ?Cyclist, 周期性 f3 u; M/ c3 |7 n! P: U: c
D test, D检验
) w' Z8 w( x" w* b- yData acquisition, 资料收集
( ^7 e6 O6 j3 K! TData bank, 数据库
+ S5 r; A4 ?4 a( v( SData capacity, 数据容量
2 O3 E% S1 N; c" j2 ^6 YData deficiencies, 数据缺乏
9 V/ P7 U2 t: n/ r$ pData handling, 数据处理/ f& w3 ^4 F( g3 F; j4 v
Data manipulation, 数据处理, j! L( t# M* q; U/ c9 l4 j# T
Data processing, 数据处理8 d1 Z" R7 K( ]# C
Data reduction, 数据缩减
6 }" m: O" h( b# _" e3 }Data set, 数据集
; l" l0 {0 @) N9 O2 j$ oData sources, 数据来源
" P% Y( u2 S. F o. J0 yData transformation, 数据变换( C" z- {3 L" m F: O4 W
Data validity, 数据有效性
+ K9 r6 @1 a0 D O* d2 rData-in, 数据输入
9 I. C) S. C. v+ W- fData-out, 数据输出
2 |* W- O1 @4 [ R1 i7 f0 kDead time, 停滞期% \3 \: ~& A5 U& x2 k. H( K
Degree of freedom, 自由度4 A. r% i+ X6 s* q. P5 m; \2 H
Degree of precision, 精密度9 `7 _% b% m' u0 [' W2 M: F
Degree of reliability, 可靠性程度
3 H/ Z- Q! ?( J) JDegression, 递减7 [+ P+ c4 N+ \6 l. ~6 P# E9 k
Density function, 密度函数, R0 R2 @: }6 u. d
Density of data points, 数据点的密度
+ I6 l% `; r+ jDependent variable, 应变量/依变量/因变量* Z# k9 T$ {' X
Dependent variable, 因变量
- C) c: {+ \" R; ZDepth, 深度
" w& h o5 P* v4 s' pDerivative matrix, 导数矩阵" b) G. P2 C+ T- i q
Derivative-free methods, 无导数方法
" q* w, c; Z9 X8 Q% c- \Design, 设计
' r/ F7 F- R( f. t* O4 V* BDeterminacy, 确定性
|7 v, _+ i( c* F; X" }Determinant, 行列式
6 A; x) I; q6 M7 j# lDeterminant, 决定因素% ~7 [, c$ w0 P) a1 o* C% k
Deviation, 离差1 l6 z& Q/ P& d5 I; t
Deviation from average, 离均差
$ f0 N, E! ?1 z- R- cDiagnostic plot, 诊断图+ M; ?7 {* p! z' `9 O
Dichotomous variable, 二分变量
7 u' b0 A2 g# O3 kDifferential equation, 微分方程
- B( d, R9 x. bDirect standardization, 直接标准化法" p! \: t$ p2 d& v: W5 u. o
Discrete variable, 离散型变量
$ f+ j# f- u' \. e B- RDISCRIMINANT, 判断
: D# r& i y% vDiscriminant analysis, 判别分析
5 g' ^. g, l% ?1 iDiscriminant coefficient, 判别系数0 t0 y9 M2 T9 g; A
Discriminant function, 判别值
& U2 k; W/ t* S2 m) H( N1 }. HDispersion, 散布/分散度' W- P5 x1 ]# P- d5 c0 \! G
Disproportional, 不成比例的: @) m2 a) S( e: O
Disproportionate sub-class numbers, 不成比例次级组含量
; [3 j( A' m+ K+ y" F) ~Distribution free, 分布无关性/免分布! ]! t) l) b* ?) z$ x+ `$ x) C
Distribution shape, 分布形状
. j @# d7 y* g; l. v' [ lDistribution-free method, 任意分布法" k( |# D% i/ g% u1 X. v
Distributive laws, 分配律
, T& c# B# G8 g% N5 ?# ODisturbance, 随机扰动项0 j6 ^* h4 I% }
Dose response curve, 剂量反应曲线
( k9 x0 e o' a- xDouble blind method, 双盲法4 Z0 T0 t" R, |) S& C2 B+ L4 C
Double blind trial, 双盲试验3 g3 [: w' ~# H* s7 b1 l' ~* J
Double exponential distribution, 双指数分布
$ j. x, [, O3 p; h, yDouble logarithmic, 双对数' i! r t' P' w* c
Downward rank, 降秩. S8 Y# q% x% {7 I, G
Dual-space plot, 对偶空间图' Y* C( ~( M5 L3 U
DUD, 无导数方法- R' u6 S P% w- `
Duncan's new multiple range method, 新复极差法/Duncan新法
- m9 t9 e* N4 Z P6 V4 }, z" Y2 tEffect, 实验效应
4 P+ ^" Z9 R q/ G# J- WEigenvalue, 特征值1 d4 X+ X* H' N& s: U
Eigenvector, 特征向量, c, M6 w( ^& R
Ellipse, 椭圆
: y( c$ S! v' d4 G8 ^* s* ?( V- ~Empirical distribution, 经验分布
, g6 m! B' H9 R$ Y' g" h% nEmpirical probability, 经验概率单位' K% I" k% T+ R; G6 q k. l) C
Enumeration data, 计数资料
# F( b# W' D0 |, [# Y9 y4 PEqual sun-class number, 相等次级组含量* V; I9 o: ~& a% y+ r
Equally likely, 等可能
* R( C" j" D" y; t" DEquivariance, 同变性; u1 Q. F1 o% |+ g0 P
Error, 误差/错误7 X5 P" E' H0 K( n* D
Error of estimate, 估计误差
6 L# W, |% z$ j, sError type I, 第一类错误+ ?- h: j! n: U2 d* J. H( K
Error type II, 第二类错误; Y. {( d8 ]5 y) `5 [' ?# a) z1 k
Estimand, 被估量
$ C+ g( ?; y" ~4 O. ~, k5 yEstimated error mean squares, 估计误差均方
! T1 l5 B. b2 l3 [- F$ ~2 d5 qEstimated error sum of squares, 估计误差平方和8 m3 A* j0 G, s3 g* E
Euclidean distance, 欧式距离
9 o$ y$ P2 Z; @0 FEvent, 事件
( `0 w/ W$ C* c* k5 k5 ~; x9 ~Event, 事件0 \$ X: V' d3 _8 {( ?5 L; m& m
Exceptional data point, 异常数据点
4 a4 R0 g% R, k8 {: z" V- gExpectation plane, 期望平面2 G, t% \' g7 W" j
Expectation surface, 期望曲面% {2 h% j! [1 e3 o
Expected values, 期望值
5 x8 ]' a8 e8 S( a2 ~Experiment, 实验" _0 D4 v( }$ K+ m- z [
Experimental sampling, 试验抽样8 c4 ^& y9 K: p+ `0 S
Experimental unit, 试验单位 Q/ R. u2 b8 q+ i
Explanatory variable, 说明变量
, s0 o/ Y; q. ~% a7 Z1 \$ u* nExploratory data analysis, 探索性数据分析# B# N3 l+ k. v$ L) k
Explore Summarize, 探索-摘要, }. d' y" ?% x" m) @
Exponential curve, 指数曲线
/ T3 }0 I9 u. G3 \# cExponential growth, 指数式增长; t. G6 G" c( W8 H
EXSMOOTH, 指数平滑方法 6 W* _4 X; n- Z
Extended fit, 扩充拟合
) L5 @( g: ~! J: v! t' IExtra parameter, 附加参数
0 t7 y$ T9 _+ D! J6 UExtrapolation, 外推法8 q9 B7 f- o. O! ?* [
Extreme observation, 末端观测值- `2 |. ]) }+ o3 V* |, {
Extremes, 极端值/极值
' l3 f6 P" H) N# P; |F distribution, F分布
% V7 D. R4 S* o7 uF test, F检验3 F+ \- e. g* V) |* D& L- J
Factor, 因素/因子4 H+ @4 F. k7 y$ o/ i5 F
Factor analysis, 因子分析. z, ~$ ?$ e+ i
Factor Analysis, 因子分析1 e5 l. R4 L! ?$ n5 c1 D5 R
Factor score, 因子得分 + e$ K. P# R) C, H+ u1 M8 R
Factorial, 阶乘
0 F1 O2 _$ t0 v4 i) ~# wFactorial design, 析因试验设计
! u I# ~9 n' W# m+ c# L; {False negative, 假阴性
- G$ P( k; |5 w1 }$ A3 r+ y9 |# y! rFalse negative error, 假阴性错误
& I! R+ w3 D! K* W% X: t, _. gFamily of distributions, 分布族
7 i( P2 D. c! nFamily of estimators, 估计量族
2 p3 Y+ I% q0 s" _Fanning, 扇面
9 T+ }) ~ f0 b, Q# zFatality rate, 病死率4 _7 m" a5 g; q# J" Z$ B( l
Field investigation, 现场调查
9 E P4 y$ j- qField survey, 现场调查
7 K' E$ R1 A3 rFinite population, 有限总体
+ N) X( T. @. W/ IFinite-sample, 有限样本
, q$ z; u( J9 ^2 e* s9 [8 _First derivative, 一阶导数
' R9 I% ~, v( }) N0 ` `9 {First principal component, 第一主成分
' _' y# D3 V. f. z3 T. SFirst quartile, 第一四分位数
( j1 y& Y* p6 G; n. }Fisher information, 费雪信息量' \: ?) T9 W! g- \4 ^
Fitted value, 拟合值7 @) s/ f4 E+ _
Fitting a curve, 曲线拟合
# x6 g- ]$ Y& {8 YFixed base, 定基. @8 t* L* ?7 r2 g) E
Fluctuation, 随机起伏! z* m; T& S) c7 M* d: e
Forecast, 预测+ H1 K- U: o& d. Q- o! g
Four fold table, 四格表
8 I8 N6 ~& h5 g3 {; M' pFourth, 四分点1 N% f2 h1 b, Q
Fraction blow, 左侧比率. T% R' K7 q- I0 W ~) d
Fractional error, 相对误差
2 |- y6 R/ A2 m( t: ^Frequency, 频率" Q6 E! e1 Q8 v# R6 n2 P$ t
Frequency polygon, 频数多边图$ C* x: Q0 S O- G% b6 k
Frontier point, 界限点1 ^; Z( p' ~6 [$ O6 J8 U% R! Z* z) ~
Function relationship, 泛函关系
& [* ` }' f m6 ^Gamma distribution, 伽玛分布 Q0 u6 j0 P2 F0 x
Gauss increment, 高斯增量/ S: N: P$ |& b
Gaussian distribution, 高斯分布/正态分布3 p; E3 `# y1 l; j0 m+ E" C/ Y
Gauss-Newton increment, 高斯-牛顿增量
* w# Q& a8 M8 AGeneral census, 全面普查
) O: B( K' P( e WGENLOG (Generalized liner models), 广义线性模型
# z$ O) R9 U j* ZGeometric mean, 几何平均数
u# c$ ?& |0 Z, D1 @9 [( V8 fGini's mean difference, 基尼均差
" C) K; c# d9 B$ Z0 v xGLM (General liner models), 一般线性模型 ( @9 @& ]: Q# y8 j J" E; H
Goodness of fit, 拟和优度/配合度
, M$ s2 X% f! J3 Q9 h3 N$ BGradient of determinant, 行列式的梯度5 K( P# I$ ^3 {/ T* Q# i# N0 c
Graeco-Latin square, 希腊拉丁方
( o( Z3 C1 G! {. f/ g) a9 ~, o# SGrand mean, 总均值( m P+ j8 G! r% g
Gross errors, 重大错误4 k# K Y! e1 N9 Q4 y
Gross-error sensitivity, 大错敏感度0 x* H. I" ~- B' a. s
Group averages, 分组平均
0 g1 u! J; e0 y" `- Y3 XGrouped data, 分组资料0 d2 b$ l3 v, R/ W
Guessed mean, 假定平均数
. z) n) ]) T/ J* `Half-life, 半衰期- I- H8 V2 {1 H+ g
Hampel M-estimators, 汉佩尔M估计量
" \* s" a8 m4 R- B% b1 f$ l; \$ GHappenstance, 偶然事件& ]: ^$ r: ~- H
Harmonic mean, 调和均数
, w) G l3 f- ZHazard function, 风险均数
% r! g4 P! t/ `/ L# HHazard rate, 风险率! b. }- B+ m- @) t
Heading, 标目 2 X5 t$ x$ L! G/ ?
Heavy-tailed distribution, 重尾分布
" n: c9 M# b/ s4 s% AHessian array, 海森立体阵
& k( \( q' \ w. z/ uHeterogeneity, 不同质
8 s6 I0 I0 H7 e5 T3 [+ F6 m4 cHeterogeneity of variance, 方差不齐 - o1 {, R/ z. E; S9 P# j/ r; o
Hierarchical classification, 组内分组
! g7 p# Y' M6 I0 WHierarchical clustering method, 系统聚类法
7 D' b: w9 u* ?! B3 JHigh-leverage point, 高杠杆率点$ {) G" l% ~- }4 Y7 G, U9 y
HILOGLINEAR, 多维列联表的层次对数线性模型: {: R! e% h+ z2 y
Hinge, 折叶点8 S4 q7 i& G$ j3 o
Histogram, 直方图
) ?! `9 g4 a% ]Historical cohort study, 历史性队列研究 4 P- ~' A' `" Z/ t8 I& q
Holes, 空洞& k% [' T3 S2 O. N& @& i
HOMALS, 多重响应分析
& H- U% w2 n' X$ I8 C# B: RHomogeneity of variance, 方差齐性( x+ j8 I8 G$ l' ^) [$ D" r! P
Homogeneity test, 齐性检验
7 \: m) o6 A- S, Z* B: p2 g. QHuber M-estimators, 休伯M估计量
+ s2 n" @* D* J6 F# HHyperbola, 双曲线# l! @( i' y* j; i/ h; ^( }
Hypothesis testing, 假设检验
& m4 V" _8 Q f6 G) a" ?' M, IHypothetical universe, 假设总体
: r# H: ^- C! z. k( ]Impossible event, 不可能事件
. a {+ ]/ n# S8 J, i, w3 E6 RIndependence, 独立性( p0 f: E! Y# ~
Independent variable, 自变量. D0 t$ [, R- ~1 \( y
Index, 指标/指数" Z# Q* i& h9 Z8 m0 e
Indirect standardization, 间接标准化法+ M8 g# T" p9 s0 ]; \* F
Individual, 个体
0 S( e: H& u ?) f b8 P* Q5 w) x, QInference band, 推断带) D* V9 `5 s! e; i! h- k0 ^% W7 ?
Infinite population, 无限总体* @* B# _$ [9 N4 ~ L. ~, i T
Infinitely great, 无穷大
- \4 W- V6 ?, M# B. PInfinitely small, 无穷小. Y6 q' S9 x* ~+ e
Influence curve, 影响曲线! P# B; c9 c& M
Information capacity, 信息容量6 V- v- Q8 m2 G9 j; L/ v2 k
Initial condition, 初始条件5 ^6 ?+ C, h, U( e/ g/ {2 c
Initial estimate, 初始估计值
. N+ b" s1 y+ A: t9 P( RInitial level, 最初水平, @1 w+ Z+ J) B
Interaction, 交互作用
7 a. i' M4 L( vInteraction terms, 交互作用项
# m3 F% F% ]1 E3 K( X* ` ?1 v t# xIntercept, 截距
3 y3 D' t9 J2 M- _5 r. K' _Interpolation, 内插法
; E) K9 d j9 eInterquartile range, 四分位距
7 A7 h) F+ u% i. v# b, {Interval estimation, 区间估计; ~8 |% m0 O* {+ g) `8 f* l
Intervals of equal probability, 等概率区间( e5 a/ y: h* D$ D0 m5 Q2 N
Intrinsic curvature, 固有曲率& F3 G4 o9 ^: \/ Z
Invariance, 不变性; d+ Y5 ~" j& D% \
Inverse matrix, 逆矩阵* ?1 R8 @! I! [1 R1 a& Y* S: V
Inverse probability, 逆概率9 M6 K9 R3 E+ D% E( f$ l
Inverse sine transformation, 反正弦变换% n4 C( b& J8 A* L
Iteration, 迭代
; e) E0 {! @5 ]- LJacobian determinant, 雅可比行列式
" \! c" x( I1 c m) p6 C' NJoint distribution function, 分布函数7 b6 d4 I% {8 r8 ^, R; H' ? {+ F! R
Joint probability, 联合概率
; [9 f8 | D! t( {7 _/ |, H) X1 bJoint probability distribution, 联合概率分布7 d) Z& p: [" C/ G# P Y
K means method, 逐步聚类法) \1 [, l7 @9 f& T0 Y
Kaplan-Meier, 评估事件的时间长度
' \0 J' x9 G3 S3 G5 N) T/ d4 TKaplan-Merier chart, Kaplan-Merier图
- t9 C/ N v. X* r; Q; YKendall's rank correlation, Kendall等级相关& e- @0 ]7 l7 p! X: [
Kinetic, 动力学
0 D* j% Y t; \2 D! kKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验& |& I& q8 n6 @3 X
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
8 D1 w( x, C" c/ i. `+ yKurtosis, 峰度
- i' Y- [! w: Y4 VLack of fit, 失拟, C8 L3 |, x0 ?( W! I
Ladder of powers, 幂阶梯
8 u; e: }- O; g7 D) V: [, @) gLag, 滞后6 l {/ Z) H6 C: U
Large sample, 大样本$ w0 s* t* c5 E; i- ~7 _
Large sample test, 大样本检验
5 f B# ?& i W0 @! a& R/ iLatin square, 拉丁方& i4 L B' m: E
Latin square design, 拉丁方设计( L# A$ {: q% v5 x& H4 A& `; I
Leakage, 泄漏
' ^6 ~' Z+ W2 p0 c1 d2 ILeast favorable configuration, 最不利构形
; E# X/ r( r( k' t, dLeast favorable distribution, 最不利分布
2 |; Y3 D; g2 m, R$ W/ ]6 E9 x V8 HLeast significant difference, 最小显著差法" D) T) W: a- j
Least square method, 最小二乘法, q4 q- U5 e' \2 A C4 W& G: u
Least-absolute-residuals estimates, 最小绝对残差估计
. h9 f( K1 O* O7 V7 Z" _' H4 u) XLeast-absolute-residuals fit, 最小绝对残差拟合
4 O5 I. `" Q' \9 U( v9 R) TLeast-absolute-residuals line, 最小绝对残差线# {( _" u0 o' m' }8 w
Legend, 图例: h- T% X, Y$ y8 ], n* m# s
L-estimator, L估计量
4 p2 Q0 {4 J) e* @L-estimator of location, 位置L估计量, y/ }3 g8 ^7 `, H. y: `5 f
L-estimator of scale, 尺度L估计量
. q7 M7 W3 }' v+ mLevel, 水平
6 S! s5 p; o$ j7 GLife expectance, 预期期望寿命
3 H4 a5 T: _' oLife table, 寿命表
: l U* V- i$ |' I6 Z' _Life table method, 生命表法
/ Z3 R& U3 ?" r( G' Q3 {" OLight-tailed distribution, 轻尾分布
. [& d3 z8 a4 O2 U4 k5 [Likelihood function, 似然函数
1 b# V# d, Y7 i1 LLikelihood ratio, 似然比
2 R; ~+ }% y$ i$ @1 o, U8 jline graph, 线图
& j( O' ]5 @% `0 g+ @9 S8 RLinear correlation, 直线相关
) |9 O: Y% p( h! C2 ]: zLinear equation, 线性方程* V2 _2 w) N, h' y
Linear programming, 线性规划# [' p! r8 o9 I7 h
Linear regression, 直线回归. a0 C: _6 ~& l& ]; `7 x* o
Linear Regression, 线性回归7 d7 q$ k4 i, E5 r
Linear trend, 线性趋势
; Z U! \ @' Y6 Z RLoading, 载荷 7 N0 \. M* T. j& G8 h
Location and scale equivariance, 位置尺度同变性5 ?; v, z4 I: z0 T2 F, C) q
Location equivariance, 位置同变性
9 x( A, t2 z- ZLocation invariance, 位置不变性
+ V; x2 K& B3 {0 C- a( [1 {7 TLocation scale family, 位置尺度族
8 w. g' o P5 E1 A3 K! rLog rank test, 时序检验 1 k+ c% A; n* ]+ {5 L5 m
Logarithmic curve, 对数曲线
8 B3 g# I0 r3 q+ YLogarithmic normal distribution, 对数正态分布" ~* C- s9 n2 S: K7 a8 d
Logarithmic scale, 对数尺度% O) \; k2 Y8 [+ o0 n2 Q" j/ ^
Logarithmic transformation, 对数变换. \ f; v0 I9 M" ]% y/ a) x
Logic check, 逻辑检查
3 y7 v) A- N7 q6 C; y) RLogistic distribution, 逻辑斯特分布' [/ o9 n) k) C7 u
Logit transformation, Logit转换
9 y6 j8 v+ G* Q) h, j' N1 {LOGLINEAR, 多维列联表通用模型 * Q3 R) \3 D0 c$ R: M8 o5 h" Y
Lognormal distribution, 对数正态分布4 p6 h4 b8 H- P$ O6 [8 }, ?7 r
Lost function, 损失函数9 K. T. u0 H9 \9 m
Low correlation, 低度相关1 h* Q; w" `$ \9 w( `+ u: }2 O
Lower limit, 下限" L5 H8 d. q& p! W( t
Lowest-attained variance, 最小可达方差6 h+ M8 e) ?1 Z' b$ i/ }7 Z
LSD, 最小显著差法的简称7 P6 }4 D0 X" [
Lurking variable, 潜在变量, q' @9 a( S( F+ Z1 ]- l
Main effect, 主效应. t+ C6 p# D# }% _8 B! n
Major heading, 主辞标目8 U* N4 ~) v! B# `1 }6 V2 z- b
Marginal density function, 边缘密度函数
& q! e5 G( A/ ^" V( }- V, cMarginal probability, 边缘概率1 W. s, | o3 O4 g0 i3 {
Marginal probability distribution, 边缘概率分布
: C( ~$ u4 M% u4 qMatched data, 配对资料
' p, |3 w& l/ E" S1 ?Matched distribution, 匹配过分布9 c# [/ p4 q" w" I
Matching of distribution, 分布的匹配5 X1 V0 I9 R* }: v( G0 g
Matching of transformation, 变换的匹配
$ g8 M( B z& w# ?Mathematical expectation, 数学期望! }# f% L3 s5 D0 Z! ]: T: G
Mathematical model, 数学模型' F: p. V. b# {# X
Maximum L-estimator, 极大极小L 估计量- u5 S8 ^# N* c" Q( d( g+ i0 s& J
Maximum likelihood method, 最大似然法& E d- Q& l; P- h& ^8 G
Mean, 均数3 H5 m. q: _2 `0 w8 ?& c5 d
Mean squares between groups, 组间均方
+ D: h- i4 G, @9 }5 N! \6 dMean squares within group, 组内均方
1 |# U, F% [0 I% a3 E8 J# ^6 {Means (Compare means), 均值-均值比较
2 l- o6 r( a% ?: |& YMedian, 中位数
. ^( q0 E; \6 f, r- GMedian effective dose, 半数效量
, a; F5 `) c8 l( z9 wMedian lethal dose, 半数致死量% f' r+ y) Q4 O' O
Median polish, 中位数平滑
' E, [" i% Q' q) }; k$ \$ SMedian test, 中位数检验
' l9 |' r4 J) W9 Z: B F5 ]Minimal sufficient statistic, 最小充分统计量( Q, j" o4 Y2 N- p1 ^; B
Minimum distance estimation, 最小距离估计6 Y* R, x$ g+ ~; Q8 _! @$ ~
Minimum effective dose, 最小有效量
7 q' f3 l/ B& lMinimum lethal dose, 最小致死量; e# S s2 u! k# G
Minimum variance estimator, 最小方差估计量
& N1 b s M' p( \8 U$ DMINITAB, 统计软件包
* o! q. x w4 ~9 s4 lMinor heading, 宾词标目
% I, Q- E6 Y3 \- ^. `Missing data, 缺失值1 ~* X8 B4 ~1 ]1 M" q+ u
Model specification, 模型的确定4 M& s' { f8 N' }, ~( Q
Modeling Statistics , 模型统计0 K& I8 W. W$ D
Models for outliers, 离群值模型# \0 T o3 e# I8 V
Modifying the model, 模型的修正- |' j. p# u/ h6 Z) b0 j
Modulus of continuity, 连续性模
: e. x9 d. a% u5 m. Q1 c4 }) DMorbidity, 发病率 $ |; F1 A V5 `% @( A3 T
Most favorable configuration, 最有利构形$ U% H! r: f0 b; x9 a4 ]0 I5 M
Multidimensional Scaling (ASCAL), 多维尺度/多维标度7 V# S1 {$ \: i' n* y
Multinomial Logistic Regression , 多项逻辑斯蒂回归: K4 D- x2 O. c8 k8 {5 L: `
Multiple comparison, 多重比较
$ L( ^% d" p# @/ S9 ^+ O( VMultiple correlation , 复相关
: {$ [, J8 _: |. }Multiple covariance, 多元协方差( g1 g9 i2 G4 c6 `6 l# }" A* s
Multiple linear regression, 多元线性回归9 K; f% s B+ D/ W, ]4 U8 _
Multiple response , 多重选项
4 L0 e( e' u; t4 _% ?/ G. j& V4 lMultiple solutions, 多解
" _8 `( \' |4 S( Q1 VMultiplication theorem, 乘法定理1 \/ H* E, R& l5 D
Multiresponse, 多元响应' r$ ^; |7 O1 W
Multi-stage sampling, 多阶段抽样. Z3 F, L/ v3 M7 B6 y# h) y- F. p4 {
Multivariate T distribution, 多元T分布) `8 i1 M% W4 Q, n) a
Mutual exclusive, 互不相容: U! J% u; [' u G
Mutual independence, 互相独立; Q+ p, a9 p7 c. Q
Natural boundary, 自然边界
5 l& m# U/ i) S6 A1 V4 ONatural dead, 自然死亡
; [6 I( [. a2 G' SNatural zero, 自然零1 w) |( l# c4 {5 J5 @
Negative correlation, 负相关$ P4 A8 R# Q& A- J6 I: t% [3 w
Negative linear correlation, 负线性相关' Y7 y B B$ C( Z
Negatively skewed, 负偏) s( `6 y* |) t& h" a. N) A
Newman-Keuls method, q检验
: m; O0 o" G# L/ N" B8 T. JNK method, q检验
+ R5 |4 X5 r' [& s3 h5 u4 R& wNo statistical significance, 无统计意义
: W, N7 b4 p9 S+ XNominal variable, 名义变量1 r# O) ~- V6 W& L0 z
Nonconstancy of variability, 变异的非定常性3 y; e& U# w/ y! u, _' t K/ E J
Nonlinear regression, 非线性相关0 a' v! C$ y$ b8 d
Nonparametric statistics, 非参数统计& x! _" f, B6 c
Nonparametric test, 非参数检验
- [0 b; Y3 j% B+ zNonparametric tests, 非参数检验
- [+ t9 J% n+ K# f2 INormal deviate, 正态离差
$ Y r" o% |+ ]5 d) Y& TNormal distribution, 正态分布
* z: X" G. r1 s9 h0 V3 X" }Normal equation, 正规方程组: e" e4 K1 v9 f" B! E
Normal ranges, 正常范围$ d0 O# g+ B4 ]% @" l) f5 E
Normal value, 正常值6 _: }5 C' Z5 Y, ~$ f
Nuisance parameter, 多余参数/讨厌参数$ a3 |3 |! }1 K ^6 F, Q9 u3 l8 M
Null hypothesis, 无效假设 & q) V0 y1 k8 Q+ [* o' {; S. p
Numerical variable, 数值变量
; i6 M- z9 t6 q# z- z# |& nObjective function, 目标函数
8 W8 b7 k6 J$ H* lObservation unit, 观察单位, E8 Q- ?# G& c) [9 v+ F3 B
Observed value, 观察值. J% d8 |! o) B% {% |$ W, U
One sided test, 单侧检验8 p2 p! i( ^* T8 G2 ~
One-way analysis of variance, 单因素方差分析2 M3 ~- P( |) U* N! s6 n4 m
Oneway ANOVA , 单因素方差分析' i# f4 a* N9 e) \
Open sequential trial, 开放型序贯设计
0 p; ]4 L: g& i9 @' b+ E6 Y% A7 [Optrim, 优切尾8 }" _$ s3 @- Q D7 i3 M. N& T" v! i
Optrim efficiency, 优切尾效率, m W/ w: p+ b$ P$ {8 ^; T
Order statistics, 顺序统计量( x( y* P; U; b
Ordered categories, 有序分类
/ B2 n9 c: P UOrdinal logistic regression , 序数逻辑斯蒂回归5 r) o6 x; y$ H" N
Ordinal variable, 有序变量
/ S5 @! y& r8 d) q. x3 V0 EOrthogonal basis, 正交基1 d1 S& B' V) H
Orthogonal design, 正交试验设计' R8 W; a1 ]. e9 Q5 o( t6 [/ y1 B2 m
Orthogonality conditions, 正交条件
4 M! |: {6 `, R8 S+ I7 TORTHOPLAN, 正交设计 + g# o8 V8 x* V6 D' ^/ o
Outlier cutoffs, 离群值截断点
8 w6 B* H4 [) p% D" gOutliers, 极端值# b2 b7 C6 O5 f
OVERALS , 多组变量的非线性正规相关 2 d, V g0 W8 ?: X2 h
Overshoot, 迭代过度0 u9 V4 ]* \6 \/ [7 |4 y
Paired design, 配对设计& g" z& J! l. a! S8 v
Paired sample, 配对样本
* o& V/ Z/ o8 vPairwise slopes, 成对斜率8 V/ Y$ ^ x+ m( H/ j
Parabola, 抛物线
1 G* e5 Z7 Z( r1 C t7 zParallel tests, 平行试验
. E# M( w4 c4 i; ~. u6 eParameter, 参数
$ e5 G4 p6 i8 |$ x! yParametric statistics, 参数统计 I' s, q; Q4 J
Parametric test, 参数检验& f$ h( D5 s( w! J. \# J1 j2 _5 ~
Partial correlation, 偏相关
% J; k& D6 V& ]5 nPartial regression, 偏回归
! X3 |# Y7 }0 i. M0 O* NPartial sorting, 偏排序
( m7 }; D9 b7 C bPartials residuals, 偏残差
, n" u. V' Y0 Y. pPattern, 模式+ G& x, t( B, Q! t1 e) a& i0 ]
Pearson curves, 皮尔逊曲线6 I0 m/ K" w/ J: {& I2 ?
Peeling, 退层7 h& @& T: t1 q
Percent bar graph, 百分条形图
, k. ~8 D1 I2 b" q) MPercentage, 百分比4 O# ?" R( d0 M1 k; f4 y
Percentile, 百分位数
9 {- R: {* }4 V6 H4 hPercentile curves, 百分位曲线 _4 Y0 D/ N! m. p
Periodicity, 周期性
9 g' q0 t2 \% |1 o2 [' Y. t: mPermutation, 排列
! h+ T1 \* e* d" U7 G. mP-estimator, P估计量4 Z4 H. q/ V. ?# ^& Q9 p- ]
Pie graph, 饼图
. R3 Y j4 K4 t4 O6 K5 O, u8 L4 zPitman estimator, 皮特曼估计量
1 P+ x7 x# V0 A B8 s: }" H& G3 HPivot, 枢轴量
- T6 `: _( b& _( F a) y5 ?0 gPlanar, 平坦* P" K8 V) |8 _! i- A2 S7 W
Planar assumption, 平面的假设' G9 E: R& V) C5 p/ }4 m- [ x
PLANCARDS, 生成试验的计划卡9 F0 p" V# F" k( o6 P8 |
Point estimation, 点估计
. \" u3 y# C4 U: `) i4 }. oPoisson distribution, 泊松分布5 {% U: p! x! B a/ B, n$ o7 D
Polishing, 平滑9 @) b& L4 ^% F+ r
Polled standard deviation, 合并标准差
& E0 B* b1 T( ]Polled variance, 合并方差3 ^8 w* d0 f! o% p6 z5 l( B
Polygon, 多边图
i' b7 ]' U6 w. [Polynomial, 多项式
9 }: G2 q6 Z0 T# E: UPolynomial curve, 多项式曲线8 x6 e+ L( {- \4 j5 |7 |
Population, 总体0 L {+ x/ W5 \8 k# @6 t
Population attributable risk, 人群归因危险度- Y* a, S2 n$ q3 T- P% C
Positive correlation, 正相关
! n: P" M& S) UPositively skewed, 正偏
% O0 ]" _. c' _1 U3 mPosterior distribution, 后验分布
8 _ T8 k+ Y. v2 r4 q" P) SPower of a test, 检验效能! q' Q* W# `/ M2 _0 `% X+ t3 @
Precision, 精密度
m* C L) a+ r9 Q5 |; O- N! xPredicted value, 预测值
9 g# S1 U& i* ~ z* e1 V: WPreliminary analysis, 预备性分析
+ y' W: V& w, }0 V4 a3 ]: ]Principal component analysis, 主成分分析
6 E; a) _' i" B6 PPrior distribution, 先验分布4 A/ N7 }! o" g5 F
Prior probability, 先验概率
) i$ l% i r7 m4 g- cProbabilistic model, 概率模型
. D$ p1 f& t1 ]7 R2 I1 @probability, 概率
4 [3 v# x# {# y7 T1 _2 d4 Z( CProbability density, 概率密度
, N7 f) d, t# z l* HProduct moment, 乘积矩/协方差: p+ y& I$ l( x4 Z r- k
Profile trace, 截面迹图
! e5 a$ m+ n, r2 t! ?3 }" JProportion, 比/构成比0 z" b ?4 @* M
Proportion allocation in stratified random sampling, 按比例分层随机抽样& N# @9 m! @. C' q
Proportionate, 成比例
3 C- x0 ~- E/ `) Q" h3 nProportionate sub-class numbers, 成比例次级组含量
/ E" T- L4 C; J3 S$ X4 T7 JProspective study, 前瞻性调查/ q* \5 g9 w* J+ x# _$ S. b
Proximities, 亲近性
$ j; |" M u% M: _) O5 ]Pseudo F test, 近似F检验
4 ?& D% C0 P2 m4 tPseudo model, 近似模型
) W, V- t0 c* uPseudosigma, 伪标准差4 J0 V' \' j- A1 H8 N
Purposive sampling, 有目的抽样7 C" Q4 E3 [4 I. w# Z& X2 A
QR decomposition, QR分解6 u! q5 S* p8 b
Quadratic approximation, 二次近似
$ f3 C# j- R7 X! s- B3 i2 h1 |' |Qualitative classification, 属性分类3 Y, o4 {- [: b2 Q- [& k3 l1 d6 A
Qualitative method, 定性方法
8 h8 J# @+ b! R1 k. ?. A/ DQuantile-quantile plot, 分位数-分位数图/Q-Q图+ z7 _5 Y% x2 F) @% ^/ o8 h
Quantitative analysis, 定量分析
& e4 X( O+ P& v! k. DQuartile, 四分位数
* |0 o. V3 N7 V( R) v: K7 A% _+ HQuick Cluster, 快速聚类
4 N/ t6 B. c& G0 s7 @* ?' D, _$ h- XRadix sort, 基数排序
# j9 g0 x* \2 s) T* oRandom allocation, 随机化分组
& ~/ a+ t: i& l7 v YRandom blocks design, 随机区组设计
; t T& A4 Z; y9 C9 KRandom event, 随机事件
( k y( j. U5 M7 ]* ~) [8 v# G1 \Randomization, 随机化
; [: l R/ N+ I7 uRange, 极差/全距) F" Q5 m7 }; d! g
Rank correlation, 等级相关
; O0 ~( b/ K! ~9 O# a' i4 VRank sum test, 秩和检验4 u( o$ F; a! R, @8 m
Rank test, 秩检验- r- ^9 ?! R) O' X
Ranked data, 等级资料
7 n; g5 q; R* ^" y' z+ Z- oRate, 比率% ^- F \" E5 a: p8 B, `; M) a, J7 h
Ratio, 比例
/ X2 g5 s' }" A7 ]$ l2 ]& n* dRaw data, 原始资料
3 O }8 O" [) CRaw residual, 原始残差9 `- h6 n, x4 [/ m( `7 }
Rayleigh's test, 雷氏检验- w) F3 ~, G8 y; ?' B1 X
Rayleigh's Z, 雷氏Z值 . B% i y" T6 E5 @- G, @
Reciprocal, 倒数
, f* N4 F! e/ ^( ~7 l) t. @8 DReciprocal transformation, 倒数变换& v- E; r) i6 P. ?* Y- y
Recording, 记录
) z `* @, k7 g7 T/ Q7 V* m5 vRedescending estimators, 回降估计量/ X+ L- y. h+ o/ b2 {
Reducing dimensions, 降维
2 x' t: N w# p J# I7 J8 mRe-expression, 重新表达
. h! O- `" L" d! ~5 `+ xReference set, 标准组
, K6 g$ S! Z- @, F0 l0 p: S" y: Q$ e% WRegion of acceptance, 接受域9 {6 h' o. U/ ^" j2 [, ^
Regression coefficient, 回归系数% P0 E. k4 M4 ]) c) m
Regression sum of square, 回归平方和$ Y7 V! i- V- u- h7 P% e
Rejection point, 拒绝点: C! f/ |2 c" C# z7 m4 x8 a, q* O2 \
Relative dispersion, 相对离散度$ p) R/ l) e* [6 H/ G( A
Relative number, 相对数! }; i* y2 K# ?+ l& Y6 s% J
Reliability, 可靠性% i6 s+ X6 T; x* @9 u
Reparametrization, 重新设置参数) v; z8 z: c% c8 d9 C' n# O
Replication, 重复
2 I; E5 N; J$ f! gReport Summaries, 报告摘要1 ~- m. P" F* i: A9 j6 J$ z
Residual sum of square, 剩余平方和
: N/ ?' i1 I% H+ p5 _Resistance, 耐抗性
* S9 O) f, q+ w+ hResistant line, 耐抗线
8 T/ {. @3 B) nResistant technique, 耐抗技术
0 t4 d% ~$ Z5 ?9 i) w* @4 D+ VR-estimator of location, 位置R估计量1 s7 \: R4 A- I: f" A' C
R-estimator of scale, 尺度R估计量' j3 h9 q# i7 _: {
Retrospective study, 回顾性调查: x; U8 z! C! `6 _# w
Ridge trace, 岭迹: L- b- l4 U7 T+ `
Ridit analysis, Ridit分析
! r' V' Y, n1 e4 f! H0 f4 oRotation, 旋转+ w* I! q8 ^7 x$ c$ U' F2 [
Rounding, 舍入
+ @; P5 g# }$ n4 A7 [Row, 行. B/ ^8 q4 b; U( U
Row effects, 行效应
! T1 P) R1 n7 B( }, {Row factor, 行因素
! l+ ^4 `! \3 ^2 I6 f9 oRXC table, RXC表2 h; g0 L" \ G5 E4 Z
Sample, 样本3 y+ y. x Z! s$ K+ Z. b0 R% R
Sample regression coefficient, 样本回归系数 ~. M+ \- t. L; O' w* ?
Sample size, 样本量
, G/ y: i5 m; w' m: { ZSample standard deviation, 样本标准差
- Y3 t8 R% p9 q6 E, L W1 z8 xSampling error, 抽样误差
2 g' g1 [) o7 ]2 ]6 c# u, e2 ySAS(Statistical analysis system ), SAS统计软件包
( m- v3 W0 l7 DScale, 尺度/量表; L/ ~* M) r4 u0 X) @
Scatter diagram, 散点图$ Z$ Z- l. d& x. F6 t* |
Schematic plot, 示意图/简图
2 c9 _# E) [4 |; E. }* M2 aScore test, 计分检验: ^* [0 m: ^9 d L8 a
Screening, 筛检6 T" p E7 w9 q) W) d
SEASON, 季节分析 ! w5 p) N/ S! x1 G
Second derivative, 二阶导数
- t A4 }1 c( o$ ~6 Q7 h" f8 BSecond principal component, 第二主成分
5 c) P& D* X! f4 x4 CSEM (Structural equation modeling), 结构化方程模型 ) X# e8 R. ~: \. K7 ?) b0 o7 g
Semi-logarithmic graph, 半对数图
& w9 V/ k; w! p) _7 ]. g$ F6 LSemi-logarithmic paper, 半对数格纸% Z4 _/ n! M, j# r2 S, b
Sensitivity curve, 敏感度曲线# l, {: r5 k4 R* W
Sequential analysis, 贯序分析5 ?0 I* l& g: X0 |5 R& h
Sequential data set, 顺序数据集: q6 l! o' V% n& N; B- S# e- @
Sequential design, 贯序设计
! K8 H; W/ k: M) ySequential method, 贯序法
% n9 M7 X1 Q( @% O7 M: uSequential test, 贯序检验法
8 j1 e% d2 o0 ?8 t J! U* a FSerial tests, 系列试验+ r' T& v6 x1 e2 m, E
Short-cut method, 简捷法
2 Q! B8 Z( @1 M* K+ QSigmoid curve, S形曲线 Y* c2 g. r, T2 G( E. _/ G! R$ ?
Sign function, 正负号函数2 h' W! I) p8 m2 O+ Z3 B
Sign test, 符号检验
% j! D: h: x9 E hSigned rank, 符号秩
7 B9 G3 r# P( f- M BSignificance test, 显著性检验
; H3 Y- O8 f' O& o+ L0 ^% ESignificant figure, 有效数字 ?. K0 l3 w* x/ A
Simple cluster sampling, 简单整群抽样
t" O! F% e7 j+ n5 G6 JSimple correlation, 简单相关
9 E, {8 _: p3 p( ]6 @Simple random sampling, 简单随机抽样! f. ]- X+ b. T
Simple regression, 简单回归
# g/ P: G" |- z! C0 {2 _, Psimple table, 简单表/ e& z& [ x5 U
Sine estimator, 正弦估计量
4 t3 k/ R- z3 T% n6 q: |Single-valued estimate, 单值估计
3 m+ E3 B4 C7 j" [) Q, t# M' D1 SSingular matrix, 奇异矩阵3 u! E' e* S k5 e
Skewed distribution, 偏斜分布
" N' z& p' ^' j, V& I# ~. N0 v2 xSkewness, 偏度2 h# a) B L5 d- A
Slash distribution, 斜线分布
+ m! X4 M) w9 \# f' CSlope, 斜率
! S7 m+ N( w8 |5 _" ~- q- K8 rSmirnov test, 斯米尔诺夫检验6 y$ u3 R4 \ ?: r# i$ l% ]# ^
Source of variation, 变异来源
5 t9 ]: d1 b( G, W% [+ MSpearman rank correlation, 斯皮尔曼等级相关
" O+ O5 b4 r0 _; lSpecific factor, 特殊因子
9 k! Z2 k4 q" G4 ZSpecific factor variance, 特殊因子方差% X J Y; Y' n" k; v3 V
Spectra , 频谱
5 \; { r G- [& ESpherical distribution, 球型正态分布
8 U1 @: j0 o, M3 V' XSpread, 展布) R' d/ Z- U$ Y3 H0 [2 J
SPSS(Statistical package for the social science), SPSS统计软件包7 g! @/ Y/ E! r ?2 u& { v
Spurious correlation, 假性相关8 ?/ a" C+ x- h$ a) S
Square root transformation, 平方根变换$ a( J0 |' z: X- F" [
Stabilizing variance, 稳定方差
5 t$ k1 ^* ]/ a g; LStandard deviation, 标准差 _5 K/ k: T" y' y- R
Standard error, 标准误
, j: j0 k" Z/ H0 e2 _: BStandard error of difference, 差别的标准误! [8 q, H. g4 \ {
Standard error of estimate, 标准估计误差8 Z d( E& a& K3 L
Standard error of rate, 率的标准误
! }# M# O, _- `' ~Standard normal distribution, 标准正态分布3 A/ X! A4 V$ H b0 b& g
Standardization, 标准化, I4 y; i$ a1 c; Y1 s
Starting value, 起始值- b" L# s% c T6 [
Statistic, 统计量& ?- M. \& R# }/ i
Statistical control, 统计控制
& A5 a; y/ _7 qStatistical graph, 统计图( g1 {7 k" ]# A @6 ]( T
Statistical inference, 统计推断 x8 d. |3 ?1 f* ?
Statistical table, 统计表
B- e' k+ |& hSteepest descent, 最速下降法5 W) _3 x5 y6 A: u
Stem and leaf display, 茎叶图: s0 s% y9 O' N
Step factor, 步长因子' S# ]; p( R0 j5 J5 \
Stepwise regression, 逐步回归9 t% ]$ K* W; b3 t V
Storage, 存, ]- g W$ T5 C1 c
Strata, 层(复数)1 ~! i( f- y# L; U& m
Stratified sampling, 分层抽样, e& ]% ~7 ^% V) A( S/ {$ C, p
Stratified sampling, 分层抽样. h9 @" R/ s9 Q, C
Strength, 强度
0 f4 S' ~* M; o* x9 xStringency, 严密性
% J1 k4 }% M. U9 ]& sStructural relationship, 结构关系" o$ m X, C1 V+ }& V( f: \
Studentized residual, 学生化残差/t化残差
6 }6 m6 D9 z8 X: D6 I& D z& ySub-class numbers, 次级组含量
. U Y/ a/ M8 C$ R2 }, a6 `4 zSubdividing, 分割
- {9 c6 N3 Y# lSufficient statistic, 充分统计量
3 k# s/ z; @3 ~. I6 r" `( bSum of products, 积和
' \6 h! X" Y# y$ s2 o9 @Sum of squares, 离差平方和
! }8 |4 s# Z; c: y" K! {3 SSum of squares about regression, 回归平方和
3 T+ }8 V9 L5 p* RSum of squares between groups, 组间平方和: J- s9 w+ \# N% \2 h
Sum of squares of partial regression, 偏回归平方和
) r: T9 W1 g% y. USure event, 必然事件
) g5 d& Y+ n' pSurvey, 调查
# i( H. `3 t( \0 FSurvival, 生存分析5 v! [# y7 P! b T3 ~6 o( Q
Survival rate, 生存率
6 X0 _$ ?$ L; I9 t- uSuspended root gram, 悬吊根图
/ z" N4 x. C; [" ISymmetry, 对称
0 v3 P6 Z' _6 F, i3 p/ h% O! J. sSystematic error, 系统误差
- t! x+ O7 A0 C: A w% ASystematic sampling, 系统抽样1 g6 `+ r& w; m) i, K$ S
Tags, 标签
5 _0 L' A! G9 b( j; Z, {4 OTail area, 尾部面积
1 E! Y1 T9 c+ a) V4 M2 U7 rTail length, 尾长
# I8 L2 z& u3 m, m8 Q1 y9 D. ^9 VTail weight, 尾重. s1 q8 B+ Y; P- t! ~: P
Tangent line, 切线# q/ N( |1 [/ [8 i) s) E* v1 k( N" n. x
Target distribution, 目标分布2 E- r$ Q( s2 X+ B6 O. f5 p* S. |
Taylor series, 泰勒级数
6 M( n: P8 V( t2 QTendency of dispersion, 离散趋势
0 Z: ^" S4 f8 I: KTesting of hypotheses, 假设检验9 ? h+ f9 T4 ?
Theoretical frequency, 理论频数
& `' `5 ?3 R# G' e- cTime series, 时间序列0 S1 E* \9 d" _! p! \+ Y8 s1 v5 u
Tolerance interval, 容忍区间. Q1 i. m2 o; {
Tolerance lower limit, 容忍下限
& j+ h' s' V! j! aTolerance upper limit, 容忍上限
1 ^% t0 ]/ j0 h' `0 F' y) lTorsion, 扰率" G: s5 a6 F/ m0 _. j: w
Total sum of square, 总平方和" {! `+ Z; v; o, u3 |
Total variation, 总变异
, V/ `2 n; B# RTransformation, 转换/ o# k. [, b+ B
Treatment, 处理
6 b9 d4 O* i9 @2 B" p* ~; J- UTrend, 趋势. Z( B U6 O* T0 q; u9 I
Trend of percentage, 百分比趋势
6 U( \7 B: u7 c- l9 T% YTrial, 试验
# R" P% l6 G9 T0 E1 UTrial and error method, 试错法9 H0 q# A2 S/ F, ^: i
Tuning constant, 细调常数4 D8 Y( J5 u% M4 @
Two sided test, 双向检验9 N8 ]. M6 D& z0 C( s0 a
Two-stage least squares, 二阶最小平方
3 _" o6 g0 h: ~+ [# P9 K: w6 GTwo-stage sampling, 二阶段抽样7 |$ S3 @9 t6 s, Z2 l
Two-tailed test, 双侧检验
: b2 z: q$ J! y) t' p1 Y1 M$ v2 VTwo-way analysis of variance, 双因素方差分析
% N2 r9 R! A" v9 Y! `Two-way table, 双向表+ {1 n4 n$ G% {
Type I error, 一类错误/α错误3 p, }6 v. |- `; ^) V: u
Type II error, 二类错误/β错误
3 r# r& w" P7 NUMVU, 方差一致最小无偏估计简称
; n1 c" n- X; x! u. DUnbiased estimate, 无偏估计" { T/ W3 b8 x! r, w! \9 T
Unconstrained nonlinear regression , 无约束非线性回归8 L \6 B$ n3 m4 r4 a6 u% K7 k, Q
Unequal subclass number, 不等次级组含量: m- ~0 |1 P% p4 S' p" \
Ungrouped data, 不分组资料( d" F# u' H7 Y2 \) Z/ W9 Y& x
Uniform coordinate, 均匀坐标
2 \% Q0 Y% z, E* s6 sUniform distribution, 均匀分布2 X5 ^8 ^0 H8 N9 [; D0 w3 b
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计/ s9 y0 t% c, r8 P! y3 u: H
Unit, 单元8 Z8 A; M- X; b5 A3 D) U# O9 e
Unordered categories, 无序分类! B& S b( P+ G `: ?
Upper limit, 上限
4 E" }' K* N& l& \5 zUpward rank, 升秩
5 s. ]8 t b) ]Vague concept, 模糊概念9 b3 ]) q4 Q% V' F+ i) N
Validity, 有效性/ X$ h" O" k- I/ Z- |- X: Y
VARCOMP (Variance component estimation), 方差元素估计1 f7 ^( }, [+ t2 u
Variability, 变异性8 i- f* }7 ? S# {$ k
Variable, 变量
A2 B! R9 C. D4 }Variance, 方差
/ [2 Q7 s# ^: P' nVariation, 变异
& O6 l! E& o3 d; O+ f& LVarimax orthogonal rotation, 方差最大正交旋转% o. y3 C. E! a6 c9 W* m
Volume of distribution, 容积
: {1 F- A6 E0 e5 ]W test, W检验. g9 H( N# b' r) F
Weibull distribution, 威布尔分布
T7 M8 J/ F! E/ a* CWeight, 权数7 U3 |1 g2 h% J1 Q! m, E D4 a" y
Weighted Chi-square test, 加权卡方检验/Cochran检验9 @* i% ?+ {5 r1 p! x4 p( `
Weighted linear regression method, 加权直线回归3 |8 ^, o! I$ b2 A4 _$ J: ]
Weighted mean, 加权平均数
. G1 L; q5 C# a ?Weighted mean square, 加权平均方差$ A+ t4 Q0 n3 W- ~9 b! z
Weighted sum of square, 加权平方和% c/ f8 N) h8 M V
Weighting coefficient, 权重系数
$ b6 e6 ^ x# R/ c- @7 `Weighting method, 加权法 8 n- y6 G+ K7 ^/ Y/ a3 v8 b4 V0 ~
W-estimation, W估计量
! ~5 K5 A- H) |' q' l# lW-estimation of location, 位置W估计量
5 {% ^9 |4 m5 rWidth, 宽度
& K% W: V4 ^" g* aWilcoxon paired test, 威斯康星配对法/配对符号秩和检验
9 u/ N( T: k( p4 ^5 P* X) _Wild point, 野点/狂点" Z3 z/ |9 K) }
Wild value, 野值/狂值& I5 s0 F3 v; B7 i8 z/ z/ ^
Winsorized mean, 缩尾均值) t) b. C- _* k E" G+ y% W: H
Withdraw, 失访 * x; N% L# j9 G9 P1 ^
Youden's index, 尤登指数* |$ `1 d) N4 C
Z test, Z检验
' f7 K. X* x" Y- _Zero correlation, 零相关
5 f$ {/ H. o6 h6 F+ oZ-transformation, Z变换 |
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