|
|
Absolute deviation, 绝对离差( Z: Y1 U8 v8 m
Absolute number, 绝对数
1 N# P- v2 u4 n6 v: q% \Absolute residuals, 绝对残差 E# W! `+ X- \; A, l5 A- j3 W
Acceleration array, 加速度立体阵
" R' J4 ~& I" e# D5 Y' d0 X- cAcceleration in an arbitrary direction, 任意方向上的加速度
# v4 M# G' p" p4 U* q( CAcceleration normal, 法向加速度
) i ~' ]* Z/ ^7 H; _5 k) f; ZAcceleration space dimension, 加速度空间的维数
' w' O, ]/ M% z/ cAcceleration tangential, 切向加速度
) \4 g' Q4 R! T: x7 j$ F+ LAcceleration vector, 加速度向量' m6 i* r& _3 v& C- p- }8 F* A
Acceptable hypothesis, 可接受假设$ ^2 q) s" m6 ^- [6 d
Accumulation, 累积' Z/ `- y+ Z- \! T9 B+ P' y
Accuracy, 准确度. c- b7 N- ]* I9 U
Actual frequency, 实际频数( `4 C7 Y& j1 E4 {. h8 ]/ h/ |
Adaptive estimator, 自适应估计量- o' I8 D* `9 | p- |- Y0 h7 g- T( S5 m2 R
Addition, 相加
8 o( z$ U2 I: l( d* Z! eAddition theorem, 加法定理
3 H: p+ c- f1 X/ kAdditivity, 可加性; T* }& Q& \6 L1 u
Adjusted rate, 调整率
/ N v, `& I* f4 h4 t1 L. t( bAdjusted value, 校正值 l. j' s$ F' X) N7 w
Admissible error, 容许误差 {7 U l" G* r5 X% w( o3 ~
Aggregation, 聚集性
8 c& j1 i: M w A' C; FAlternative hypothesis, 备择假设
* [9 M! l& F; RAmong groups, 组间
: f; r" @) `3 J. J9 DAmounts, 总量2 J) U2 Q- f) t2 |# k2 n
Analysis of correlation, 相关分析! \7 h) V* J' U8 W! g' M8 t
Analysis of covariance, 协方差分析
, a# d% G5 N x4 ? ZAnalysis of regression, 回归分析- q% w. T* Z8 A
Analysis of time series, 时间序列分析, ^- b2 k$ {/ W3 |( ?
Analysis of variance, 方差分析) C9 ]3 \4 x) P8 \( V; d
Angular transformation, 角转换3 U7 i s4 O3 K
ANOVA （analysis of variance）, 方差分析# P/ W. _4 N& F# p* B7 V
ANOVA Models, 方差分析模型2 Z) g) `# t/ b" V' L$ N
Arcing, 弧/弧旋
% Y$ G' J% w. @8 [+ y7 r; r( d, rArcsine transformation, 反正弦变换
: ?' j4 c9 W0 a( `Area under the curve, 曲线面积
+ p8 ?# H: i, k4 u$ F* SAREG , 评估从一个时间点到下一个时间点回归相关时的误差 8 C( M: R& h: V/ |% q
ARIMA, 季节和非季节性单变量模型的极大似然估计 & M4 ]- O) U! j9 r8 U: j4 H5 @) y
Arithmetic grid paper, 算术格纸$ @$ }9 M) ^4 N
Arithmetic mean, 算术平均数/ t. S& K* J1 y9 \* }( |
Arrhenius relation, 艾恩尼斯关系
5 A, f% e. C( r+ ]- M9 P" PAssessing fit, 拟合的评估
" B! J! ^- d# o, tAssociative laws, 结合律% }# l+ i/ ]# @
Asymmetric distribution, 非对称分布
& H9 c- R- K9 W# x8 f$ F, `Asymptotic bias, 渐近偏倚
. R2 }! w+ Z. Y) xAsymptotic efficiency, 渐近效率7 R' s, G; k% {6 e* `0 [/ C: E
Asymptotic variance, 渐近方差
( j: k+ R! p1 F4 oAttributable risk, 归因危险度
: [ S/ E: H& x: L- Q8 N% WAttribute data, 属性资料6 L0 u8 Y# L5 E3 _# M. o
Attribution, 属性. `' C9 i* Y+ b9 n
Autocorrelation, 自相关
+ ?3 T' d" J$ X! r. iAutocorrelation of residuals, 残差的自相关
6 {; D# ^/ ?3 O5 F, @Average, 平均数4 I) k z1 W4 v' a; b
Average confidence interval length, 平均置信区间长度- N$ r! W: ^. S! x% `; Y8 r. T8 {
Average growth rate, 平均增长率7 ~. \! ^$ l& o2 u' A
Bar chart, 条形图) ]% P& h8 h, l! d
Bar graph, 条形图% D7 ^$ i0 E6 g2 p
Base period, 基期7 s+ k( |" X. w) Z" C, r" ?
Bayes' theorem , Bayes定理
x& T3 h6 q; [1 fBell-shaped curve, 钟形曲线1 ~+ p% d: @; e; U0 V# [) {
Bernoulli distribution, 伯努力分布# z8 D! m: c+ ~& v& m2 x) v
Best-trim estimator, 最好切尾估计量
( m* v) S5 `% h$ R; n( k0 QBias, 偏性' P% ?$ j6 v6 I8 ]8 h
Binary logistic regression, 二元逻辑斯蒂回归, G% G& G. w1 I( V, U8 j, C. R
Binomial distribution, 二项分布
1 ~0 v# Q: s3 X) H$ tBisquare, 双平方9 G: b @' i, y8 |3 r" S
Bivariate Correlate, 二变量相关- M9 U: l/ I/ Z
Bivariate normal distribution, 双变量正态分布
) E4 g/ U" @ L3 S% g- O$ p( H0 O1 fBivariate normal population, 双变量正态总体
) P. o* w8 h( z& qBiweight interval, 双权区间
6 l0 C! ]; V" a& y' eBiweight M-estimator, 双权M估计量$ m5 Q% ^5 v/ |! [
Block, 区组/配伍组
/ F) D$ f3 Z, f0 Z' r7 J0 DBMDP(Biomedical computer programs), BMDP统计软件包
0 c3 g( O; ~/ A' E- h' KBoxplots, 箱线图/箱尾图
7 S+ N- t+ J9 c" `9 RBreakdown bound, 崩溃界/崩溃点( {+ @4 T* D5 A3 u( @5 K
Canonical correlation, 典型相关+ j; G' M+ d' S* \+ i. r# Z
Caption, 纵标目
/ Z" t' p) W! h: OCase-control study, 病例对照研究: g- W4 u1 h0 H$ w7 S& S3 a
Categorical variable, 分类变量- _2 G! o6 T* d
Catenary, 悬链线
* B2 i$ h& w: O+ J- a6 p( \Cauchy distribution, 柯西分布! w" S, T$ Y- d) z8 t
Cause-and-effect relationship, 因果关系& {" A' k& I0 ?& N" N* c6 M" [
Cell, 单元! A! Y" q2 J% M' c4 I; Q: [
Censoring, 终检
, }6 G$ e+ Z8 b7 R- [Center of symmetry, 对称中心" c! s9 q3 O+ T
Centering and scaling, 中心化和定标
7 k$ f& n |% M v. q1 |Central tendency, 集中趋势$ P6 B5 E C7 P: `: x/ Y) D
Central value, 中心值
; Z: k u+ X8 ?( l4 nCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测$ R4 W+ Z9 q6 H; S) W
Chance, 机遇
7 y7 w4 o( k, s7 j# eChance error, 随机误差
# _( P: S8 r( ]3 d5 SChance variable, 随机变量4 A: G1 D: @* c- t4 ]6 j& v$ v
Characteristic equation, 特征方程
; P& K/ x2 C' r8 c3 C. lCharacteristic root, 特征根4 F W5 F' B+ @0 Z: Z- x* ]/ Q
Characteristic vector, 特征向量9 N. J4 b' I' W2 ~/ l$ v
Chebshev criterion of fit, 拟合的切比雪夫准则2 K0 x8 L0 M0 l' i2 u/ E B
Chernoff faces, 切尔诺夫脸谱图
( L4 m( L, m3 ^; c7 G4 J( o9 ^1 `; \6 UChi-square test, 卡方检验/χ2检验0 a0 {7 a. U& Q
Choleskey decomposition, 乔洛斯基分解
! U7 W& P* x% H. |0 j! {$ QCircle chart, 圆图
$ Q+ D6 Y7 j- [) |Class interval, 组距
! j$ O* ]5 a) _% w) M5 N" x$ ]Class mid-value, 组中值
, ^. f! }1 _+ B' ~Class upper limit, 组上限
' o5 z L* y6 x3 j6 `7 D& KClassified variable, 分类变量
& u7 r3 ?) z. Q$ A; Y5 @* JCluster analysis, 聚类分析
5 o+ |, O: D3 h F; s* L- iCluster sampling, 整群抽样
% @) M3 [( r+ x9 ^, s' P+ v' {) JCode, 代码
( J9 N& m: w3 L; n% E* D& kCoded data, 编码数据
, _! q+ c# t$ C+ [8 T9 UCoding, 编码
5 p; o9 |* f, y6 y: E- M- nCoefficient of contingency, 列联系数
4 E- A7 h; B6 e3 q3 G" OCoefficient of determination, 决定系数- n2 |4 ] B7 { L! _% L
Coefficient of multiple correlation, 多重相关系数
* J1 ]0 B/ s2 Z- kCoefficient of partial correlation, 偏相关系数: _' n4 @. Y3 p# Z$ |
Coefficient of production-moment correlation, 积差相关系数, ~" [) z9 Y4 W: z9 f
Coefficient of rank correlation, 等级相关系数
$ |( V/ R' K) ICoefficient of regression, 回归系数+ C {# V5 P1 p4 ^1 ?& y
Coefficient of skewness, 偏度系数; j0 B; f( m/ Z: q( b: Z, G# |& @
Coefficient of variation, 变异系数5 s, X' J2 O, ]2 L
Cohort study, 队列研究
( H; r. D- e& o C; EColumn, 列5 `6 {. c2 p h4 g; {
Column effect, 列效应
, J: C: \ v) g- O2 m& OColumn factor, 列因素
5 ^ b: l0 t, t7 l/ K! w3 @Combination pool, 合并
}! L' G! B# @Combinative table, 组合表4 [3 K p, }$ T/ S( X3 t5 G
Common factor, 共性因子1 j% ]' ^. r3 E! H% h ?
Common regression coefficient, 公共回归系数
6 _6 R, N# P! V- r" z/ m0 bCommon value, 共同值
" O: k! b7 O8 {, M, wCommon variance, 公共方差
' a" h3 \6 b: S# B" `; [Common variation, 公共变异+ R: a* G E2 q5 W P4 @
Communality variance, 共性方差9 k- Y# J7 }4 @7 A4 |2 J
Comparability, 可比性
0 R; l5 p* u. s- n: D) cComparison of bathes, 批比较; j( i. n0 r5 c5 {8 _- d. Z- S
Comparison value, 比较值; q; I$ z3 z& i6 a f2 L
Compartment model, 分部模型( j: I9 u1 E8 z$ @
Compassion, 伸缩
/ ?+ d+ a% X; k7 v/ Z1 H4 yComplement of an event, 补事件
! L* `' X& v4 z, n! Q, Z+ W' L, eComplete association, 完全正相关
& l$ M# u# p( i7 h& {) O' ?Complete dissociation, 完全不相关( {/ T* o6 F- A# |2 F/ N T
Complete statistics, 完备统计量* z& @# ~* o6 c' ~% @
Completely randomized design, 完全随机化设计# ^5 h$ ^) C i9 p5 _, x" l) A; P
Composite event, 联合事件
& I0 k- n J" m0 Y) ]9 I! iComposite events, 复合事件
4 k! _7 g- }9 k* {* S4 O! Z: d8 I) eConcavity, 凹性
+ `; j& U8 i D2 E8 d5 b9 GConditional expectation, 条件期望
4 t4 @+ S# Q$ }" mConditional likelihood, 条件似然: z) P- A, u5 E+ y
Conditional probability, 条件概率, M. Y; |) l/ b& z$ I& E
Conditionally linear, 依条件线性
5 o" q1 u4 N1 T" y" W, sConfidence interval, 置信区间
* d: Y- @3 c. e$ b& Q7 t# MConfidence limit, 置信限
' L7 D* O: f7 j) F% a8 S5 OConfidence lower limit, 置信下限
9 S/ H; w7 J0 E2 t' v, aConfidence upper limit, 置信上限
: d3 [, Y3 w; EConfirmatory Factor Analysis , 验证性因子分析" ?; L) T5 x' v9 L; D* B& o
Confirmatory research, 证实性实验研究
3 k5 K( {& a. GConfounding factor, 混杂因素
{1 ^; v: q- f$ N: I2 H" \Conjoint, 联合分析
! h) d h2 v; O V# XConsistency, 相合性7 Z5 _8 ~! f1 ~
Consistency check, 一致性检验
! Z- j1 h) O. {( c4 I, d) BConsistent asymptotically normal estimate, 相合渐近正态估计
& ]9 j: s8 _6 w3 N$ \Consistent estimate, 相合估计. _4 x/ U5 b" q! a
Constrained nonlinear regression, 受约束非线性回归3 Z. w- b A$ v
Constraint, 约束& f( w0 I5 b" y2 ]6 \ w7 q% W
Contaminated distribution, 污染分布
& {" G/ d* o$ N9 J: S( i- n" ]Contaminated Gausssian, 污染高斯分布9 t/ ~1 i$ Y6 b. Q; X
Contaminated normal distribution, 污染正态分布, T; r: G$ E8 M8 ?( B$ h
Contamination, 污染, f2 [# v( Q6 e2 i% p
Contamination model, 污染模型9 Z$ ]/ R9 o+ Q( \2 ~) Q" W
Contingency table, 列联表
9 a4 s/ P) Q5 Q! aContour, 边界线+ @- b z' O4 p; n+ D
Contribution rate, 贡献率& I p" w- G8 x$ F7 V. G0 t8 x. B
Control, 对照( a6 a5 b9 m" M& h7 G8 ^
Controlled experiments, 对照实验/ A" D* D/ ^" X. [
Conventional depth, 常规深度/ m/ g1 j4 t3 m% t$ F
Convolution, 卷积# ^( r0 |. A% H: I; u8 f8 G
Corrected factor, 校正因子9 Q9 U8 w, j. n9 r: B. R2 I
Corrected mean, 校正均值
2 l5 }+ \/ E2 E# O! pCorrection coefficient, 校正系数
# z5 B: n6 r, [) iCorrectness, 正确性
$ G* o9 ~. A" E! G% m) e# Y2 YCorrelation coefficient, 相关系数7 p6 i {7 `# ? S$ p5 a
Correlation index, 相关指数% H; X/ z6 C |
Correspondence, 对应+ c" O' z( |/ |" c; s, `
Counting, 计数4 Q9 E' E* s- P5 b. G# `
Counts, 计数/频数
) g+ v, e$ ^* d# UCovariance, 协方差
6 [: l, p1 C& d3 hCovariant, 共变
6 u( ^) r& S* D, vCox Regression, Cox回归* V$ W3 Q+ [' ]* } K( d; }' J% h I
Criteria for fitting, 拟合准则
# l0 x8 b9 c% HCriteria of least squares, 最小二乘准则
; k1 _, y X t ZCritical ratio, 临界比
; J/ W1 o( J1 c4 v1 NCritical region, 拒绝域
2 M9 Z% v0 U- f- G( k$ ?Critical value, 临界值
/ `) }9 ~9 f+ g; FCross-over design, 交叉设计 q4 `9 U" @) Z2 K2 p5 d7 ~
Cross-section analysis, 横断面分析% {' _: S) \/ x1 N5 Q }5 Q: F
Cross-section survey, 横断面调查. ~% S( {' Y+ ^. [# |7 F, n
Crosstabs , 交叉表 1 Q4 C% H- _1 @# g, d0 d
Cross-tabulation table, 复合表
5 {( @9 H7 c4 E1 }+ k! T* tCube root, 立方根
3 @2 G$ {/ Y9 x v" }% VCumulative distribution function, 分布函数! W9 `) y. C2 t' o
Cumulative probability, 累计概率
' R7 X& ~$ c5 Z7 u5 A, m6 T* |Curvature, 曲率/弯曲
x0 N$ ^( V1 j% g [# t/ WCurvature, 曲率
; L7 D2 I+ n# f+ cCurve fit , 曲线拟和
; h/ y7 C! T* @, }- d# HCurve fitting, 曲线拟合
1 b+ y; m7 ~: C$ S6 d, oCurvilinear regression, 曲线回归3 W. }% l4 M4 I" Q2 ~$ x% `
Curvilinear relation, 曲线关系
4 G- y3 ~7 W/ @Cut-and-try method, 尝试法
3 u8 I( }4 O0 J% Q h8 i+ j+ @8 [Cycle, 周期
7 l! }' ^% X+ {3 ], Q' fCyclist, 周期性) T; v/ P: Y6 l+ s
D test, D检验: G; ?: A9 G! S. u- I h# V
Data acquisition, 资料收集4 @# T. P- G) i# D' e' M# Y
Data bank, 数据库
- ~1 W* d: {0 d( n( \' I# c( Y* L8 hData capacity, 数据容量
]* f1 ^6 V3 I# xData deficiencies, 数据缺乏% t4 z, u( \1 k
Data handling, 数据处理% J) }$ ?6 {% y! S6 I
Data manipulation, 数据处理
8 X( {$ O3 N% `% Y g8 }Data processing, 数据处理
6 j1 ?7 T9 y+ sData reduction, 数据缩减) P! |# a0 X. P+ r5 j9 S
Data set, 数据集
) X8 Y( ]+ V" d+ X& ]# BData sources, 数据来源
) T: x- F! B& I+ d+ k0 mData transformation, 数据变换
& q* q9 [! y# vData validity, 数据有效性% ?% Q5 C v6 t: V4 E5 ^7 V6 a+ j
Data-in, 数据输入5 W& C# @+ w) X0 ~
Data-out, 数据输出
1 _# J/ h2 i/ YDead time, 停滞期3 Y( [& i8 w$ p( U6 l
Degree of freedom, 自由度
- r: G0 q" [# q$ K mDegree of precision, 精密度
4 `' S8 @6 Z2 S( b# cDegree of reliability, 可靠性程度. a8 _, P7 i1 E: _, h- s8 U
Degression, 递减, o* `- J8 {5 D0 ]' r
Density function, 密度函数
( F w! v N/ l) s6 G& R) N) a7 SDensity of data points, 数据点的密度
$ U8 q' l/ F5 }4 ]- X2 }" BDependent variable, 应变量/依变量/因变量
& n8 |+ g% W" u# i& ODependent variable, 因变量
6 ]6 R6 h$ N2 l+ T4 gDepth, 深度: a" ^( z, l; ]! v0 ]( w
Derivative matrix, 导数矩阵6 ]) X$ B, R% d9 x! _5 u
Derivative-free methods, 无导数方法7 n! y: J1 Q: l3 m, ]
Design, 设计. _2 y, u% r7 s. o7 S: Y6 w
Determinacy, 确定性
9 q, Y0 W1 m9 e1 [! l+ |% V ^: UDeterminant, 行列式
) _; K* I; ~0 S+ H- I( XDeterminant, 决定因素8 k/ V' q6 X$ E* V
Deviation, 离差
0 [+ Z; r1 A$ a2 [- y% h& t# u* yDeviation from average, 离均差6 S- b* s0 w* j& g6 t) M
Diagnostic plot, 诊断图- a0 _$ I3 z- S8 p
Dichotomous variable, 二分变量
p! M! x6 a, O4 z1 SDifferential equation, 微分方程
8 j' O {' e' J& X- dDirect standardization, 直接标准化法
( x$ H2 P" R7 f, \& P7 rDiscrete variable, 离散型变量+ g9 M# L5 D: V, d
DISCRIMINANT, 判断
# @- S6 u( d# cDiscriminant analysis, 判别分析! ]; w+ f, N, ` C, m# O: U& m" @
Discriminant coefficient, 判别系数
0 o9 Y* O# R( I/ y$ M( a: qDiscriminant function, 判别值, a$ j# ~( u1 Y5 \# v8 b8 Y
Dispersion, 散布/分散度6 I2 C" C2 H1 L" ?" e0 T
Disproportional, 不成比例的: @$ I. N3 l/ f$ y9 w* H" {' a
Disproportionate sub-class numbers, 不成比例次级组含量+ u2 d$ @& f8 P
Distribution free, 分布无关性/免分布
( [* q4 L3 M- R+ K$ y4 yDistribution shape, 分布形状 ]1 j0 G/ u' }9 G" S5 M
Distribution-free method, 任意分布法
+ [, Q& F' l$ \4 K, e2 P, Q, e4 XDistributive laws, 分配律' K4 H" U1 n3 ]
Disturbance, 随机扰动项
1 P- v$ C- p! r: w2 YDose response curve, 剂量反应曲线- ~* Q0 A1 T: U3 }7 I
Double blind method, 双盲法
1 J2 c, p) {, N" [; o7 ]Double blind trial, 双盲试验$ w4 J8 E, Q3 T4 G) o
Double exponential distribution, 双指数分布
. p7 v* X2 }( d EDouble logarithmic, 双对数
3 j% X7 L2 w" j! O8 Y' A8 [6 ~8 ]Downward rank, 降秩
$ b( A' g! I+ L* J: I* S! X7 t2 r& e& Q, W HDual-space plot, 对偶空间图
& `/ F/ ^; U) {* e0 n' LDUD, 无导数方法$ X3 M3 u/ p& R5 [
Duncan's new multiple range method, 新复极差法/Duncan新法
, C2 B- K( D7 s; gEffect, 实验效应
$ T' Z# m& {8 Q, I$ d0 A$ n* MEigenvalue, 特征值8 Z% S/ ?+ o: z; f0 ^
Eigenvector, 特征向量, l" l. d( } T- b& a
Ellipse, 椭圆5 E6 U/ ^) R3 u7 C' m- z* Z
Empirical distribution, 经验分布
% N2 f' j q" X, f( p' |6 ]$ jEmpirical probability, 经验概率单位
, a( X/ [, l& oEnumeration data, 计数资料0 g+ k- @5 ]" G& m5 ~) Z
Equal sun-class number, 相等次级组含量
J. g" c, @* x Q9 bEqually likely, 等可能
`- Z% o+ s: r+ IEquivariance, 同变性( o$ t5 l$ V' e) w4 v3 A Y3 A
Error, 误差/错误' D5 @0 b" r/ n, Q- \# ?. ?6 `- h% J
Error of estimate, 估计误差
# d! G) [" `+ |Error type I, 第一类错误& F+ H! ^3 W: `* F# p3 O
Error type II, 第二类错误- a4 h1 S6 x; ]. ^$ [* t. _; r4 {
Estimand, 被估量6 f+ U9 O) b [* }; v- |
Estimated error mean squares, 估计误差均方
( o4 j: [& {+ M C+ h% C/ b. w2 aEstimated error sum of squares, 估计误差平方和1 n) R9 E: }6 m0 `; R" e
Euclidean distance, 欧式距离1 E9 X+ ]: U- ^ |0 U, o
Event, 事件! b, E# l7 V/ \! I; x O, @! C
Event, 事件
' f1 B- x+ | r0 tExceptional data point, 异常数据点
5 ~6 o. _2 c4 m* ]! G% KExpectation plane, 期望平面
; |" e' B- M% h, |6 H) \9 ?! `" OExpectation surface, 期望曲面. m) k: ~1 E$ `! e/ r. Q: X/ i
Expected values, 期望值
. f" G5 }$ J" t" [6 g3 j" VExperiment, 实验
% v) i- r! E( m2 [Experimental sampling, 试验抽样
1 b1 u. J; A% A& C5 G/ ~8 OExperimental unit, 试验单位 Q* w3 ]9 C+ E: }3 _1 q9 z4 ?! }; ]
Explanatory variable, 说明变量/ w% ?* S" t8 f9 t
Exploratory data analysis, 探索性数据分析" a, P1 z5 {" u( r
Explore Summarize, 探索-摘要
8 E$ E; T2 ]8 j- pExponential curve, 指数曲线1 Z9 r2 R) I( T3 X
Exponential growth, 指数式增长+ M9 {5 a- v; l5 J
EXSMOOTH, 指数平滑方法 2 g( P+ @1 ^4 S( n, p3 V7 [
Extended fit, 扩充拟合
* u5 d d6 y% b* OExtra parameter, 附加参数2 E; Z- }- d- j/ ^# J* t
Extrapolation, 外推法
& H$ `8 g' D p, }1 r& i6 RExtreme observation, 末端观测值
+ D+ D0 o" @9 N3 X K2 kExtremes, 极端值/极值( I' {& H% l4 a: J! j
F distribution, F分布" r, ~) r1 ?( U0 ?
F test, F检验, A3 C9 ^! q8 P0 S1 M% f2 d
Factor, 因素/因子. L, L$ k0 c/ [' ~" I
Factor analysis, 因子分析
4 F& i( {0 e4 a$ d: D% mFactor Analysis, 因子分析) u( f9 o7 f# O0 K4 J% l# ^
Factor score, 因子得分 , N# m- D% w% i) I+ I
Factorial, 阶乘
. s7 G7 P! W& k/ X) FFactorial design, 析因试验设计$ `' u7 w! l" R! A4 E, Z* u& z
False negative, 假阴性# _9 ?" d- B: F) K
False negative error, 假阴性错误
9 \* T2 C5 b) m6 @1 Y2 u/ p! PFamily of distributions, 分布族: k/ s! r7 K: ~0 T. b9 m
Family of estimators, 估计量族
% E) c' x; Z, w. r+ Z( x* z0 wFanning, 扇面% R3 J3 B1 t; j
Fatality rate, 病死率% ], U$ }! d+ G( G$ e& ^3 o
Field investigation, 现场调查- T/ g" x4 @0 j. Y. S
Field survey, 现场调查+ S5 y! H" B5 {7 x: i) ?7 q
Finite population, 有限总体
9 x; B# x: o* oFinite-sample, 有限样本
3 J, F0 @- b6 _6 {% U* dFirst derivative, 一阶导数
) F4 _$ [- K' k y0 HFirst principal component, 第一主成分6 }; I' \, y; `; W1 G
First quartile, 第一四分位数
* L3 V8 e3 m3 F/ [$ O4 W _Fisher information, 费雪信息量, B' T- K3 D& m$ E: p
Fitted value, 拟合值; j1 C }3 Z3 f3 s
Fitting a curve, 曲线拟合7 H, |" o' z* `/ Q6 Z' a0 H
Fixed base, 定基
/ g {5 _/ [- r1 {# e/ m' a4 Q1 LFluctuation, 随机起伏
! e' C, M$ L# n2 v+ z5 n0 Z: lForecast, 预测. i }$ ]* L0 t% o. b& @1 R
Four fold table, 四格表
6 M% B% O0 b. g' ]. [4 I% G9 tFourth, 四分点9 Y+ r! {+ x9 I5 l. {: s$ P
Fraction blow, 左侧比率# \* H# V0 K; A! I, X
Fractional error, 相对误差# b. i) L) m0 q' S5 C0 e
Frequency, 频率/ c0 v; l: o$ x! j+ F
Frequency polygon, 频数多边图
9 X" P, m( m( K# w" t+ o9 N1 L7 NFrontier point, 界限点4 a6 H F6 I0 D1 e
Function relationship, 泛函关系( M# z2 g- k1 j: E- Q
Gamma distribution, 伽玛分布
* h! J: |0 z% T; \+ @0 }Gauss increment, 高斯增量
0 d8 n; P* E5 I0 m+ `Gaussian distribution, 高斯分布/正态分布4 n3 T8 G6 q/ }9 t
Gauss-Newton increment, 高斯-牛顿增量
6 ?+ P. e. Z- z2 l$ MGeneral census, 全面普查
/ g5 [2 u I* g9 IGENLOG (Generalized liner models), 广义线性模型 & [2 t) {$ l" [
Geometric mean, 几何平均数
0 b1 ?7 j6 e) R7 ~7 S2 y+ XGini's mean difference, 基尼均差/ |' s! G" [# H
GLM (General liner models), 一般线性模型
6 S& g# ^5 u3 \4 a4 jGoodness of fit, 拟和优度/配合度
5 V* a. p4 Y% R& k0 O; J4 b0 F, { MGradient of determinant, 行列式的梯度4 G" H! Y4 N4 E6 G# D# i! l% R! d
Graeco-Latin square, 希腊拉丁方. Y& L1 P7 R3 v& p) v% e
Grand mean, 总均值' D: K/ {( ^2 F9 y9 [( n5 u" h6 z/ s
Gross errors, 重大错误
( U- o* X; z8 y* Y% J, l9 }) lGross-error sensitivity, 大错敏感度
# A" k, r# u* A6 PGroup averages, 分组平均1 k7 n: g5 h! Q8 S- s M$ v* t
Grouped data, 分组资料
5 _8 W p4 _4 O0 aGuessed mean, 假定平均数
0 M8 V2 }7 [: c1 A# b0 i. o7 | QHalf-life, 半衰期
7 D. L. [0 r; m9 ^' tHampel M-estimators, 汉佩尔M估计量
& d" P; m9 y: F8 |* O+ hHappenstance, 偶然事件9 z6 x& n+ l5 p* H- ?: N
Harmonic mean, 调和均数6 \, V8 r: {( z! |4 g/ d
Hazard function, 风险均数
" k& p( ^; F$ O; m' ?1 nHazard rate, 风险率) ~2 R5 Z3 N, ?1 z. f9 D! Y3 n
Heading, 标目
; U9 z4 X5 m$ d- g/ _$ _Heavy-tailed distribution, 重尾分布( ^/ b# v; `. l! E0 h% j& J( e
Hessian array, 海森立体阵# c- C' g Z3 x2 _
Heterogeneity, 不同质
& E6 c. t1 a. U0 rHeterogeneity of variance, 方差不齐 # M d' n2 ?6 l/ ]9 M
Hierarchical classification, 组内分组) {5 L4 p% J9 s4 r" Q
Hierarchical clustering method, 系统聚类法' Z0 x' R; ~% U1 c _/ |
High-leverage point, 高杠杆率点
8 v- {$ T! f8 @HILOGLINEAR, 多维列联表的层次对数线性模型
3 Y( Q2 k" @+ H4 a" EHinge, 折叶点$ c; x7 b/ h b. X- ~0 j( R: l
Histogram, 直方图
5 s* e7 q1 b/ c3 e; {Historical cohort study, 历史性队列研究
7 H+ R3 v2 I! R9 S: D9 ^7 W0 B1 kHoles, 空洞
% K# i, e4 q3 `( `! N; j: ^1 XHOMALS, 多重响应分析% ^4 h) s( U* t/ c
Homogeneity of variance, 方差齐性% _% S: r, `0 M& U
Homogeneity test, 齐性检验
1 A' N5 Q# u2 JHuber M-estimators, 休伯M估计量4 s( Q$ d9 ^8 Q+ [. t' ~6 k/ |
Hyperbola, 双曲线3 |5 B1 V2 f2 w, R: u6 ~0 u
Hypothesis testing, 假设检验# ^: k$ k, c4 `5 ~2 T# m5 Z! Q
Hypothetical universe, 假设总体
6 W8 `5 q& Q5 u3 }' t/ Q: x" v( CImpossible event, 不可能事件
& m9 X7 q3 t% cIndependence, 独立性
3 L! |/ q+ q7 C0 G7 T6 PIndependent variable, 自变量
6 a: R; v0 c3 I& t9 v2 u3 R9 ?Index, 指标/指数: g8 K$ I4 a% s# \
Indirect standardization, 间接标准化法
' s8 l) i; q8 Z2 {+ XIndividual, 个体. b' u2 D9 l! c! `" }$ L, O( Q
Inference band, 推断带! ?, d8 w3 {7 X4 \5 {3 l
Infinite population, 无限总体+ U; E8 ~2 E5 Z# I
Infinitely great, 无穷大
1 {3 z9 Z/ G5 }7 kInfinitely small, 无穷小1 o' A2 ^0 T7 m9 A/ f
Influence curve, 影响曲线( X; Y L& N7 S* n9 Y- h. \
Information capacity, 信息容量
1 N/ }' q+ |# Z KInitial condition, 初始条件
p: G# _5 P, o" ^( lInitial estimate, 初始估计值
2 B- |. a0 J- [$ ^' d% \! r( ~ ^Initial level, 最初水平9 }1 S; D$ w3 S) R, y
Interaction, 交互作用
0 o7 E0 |8 D) m% X! u" QInteraction terms, 交互作用项
. ^! E/ c, }% i% |6 h" P8 kIntercept, 截距+ |1 Y5 G; Z1 V: Z. ]# M! k
Interpolation, 内插法4 ~) @5 m' v5 T8 l% q
Interquartile range, 四分位距
* y* V$ o4 G! c1 e) L5 ]& `Interval estimation, 区间估计& R7 u: p3 v; f
Intervals of equal probability, 等概率区间
0 Q: _. Y+ b4 _. ]3 y, B2 I) `1 I6 yIntrinsic curvature, 固有曲率
0 r, H; K5 Y! v& u% x/ ^Invariance, 不变性4 a1 i7 R3 O- X( ~! P+ K
Inverse matrix, 逆矩阵
$ ^, o6 p2 C/ N( V1 p. `; PInverse probability, 逆概率
) D' T5 U- J0 K& N y, e* MInverse sine transformation, 反正弦变换' Z; ]2 k0 Q2 a+ w5 l, d; c
Iteration, 迭代 ; V0 g8 B* o' H2 f+ ?; ]
Jacobian determinant, 雅可比行列式4 T( s$ u( U+ F* a0 [5 f/ ~( |5 |
Joint distribution function, 分布函数. S! T* _( g- N; u0 s9 C- x& i
Joint probability, 联合概率! j5 a i& B+ B, u3 V T% f
Joint probability distribution, 联合概率分布8 ?6 t U: s [* |0 d. Y1 l0 [9 @$ h: z
K means method, 逐步聚类法
6 U- G; u) e! O# N3 e' c: jKaplan-Meier, 评估事件的时间长度
9 g9 W/ S Y+ A/ @* l+ h4 _Kaplan-Merier chart, Kaplan-Merier图3 A' ]4 b' J& j- y! l N) A
Kendall's rank correlation, Kendall等级相关. ?7 |4 Q, p b: t
Kinetic, 动力学
4 d5 D2 w6 I: ^+ _6 m3 l9 _# j4 vKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
1 p) G8 N' w5 |& u8 YKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验! x% B0 G4 V ]. l, C7 `
Kurtosis, 峰度
6 Y( Y* X4 B" P* XLack of fit, 失拟: X$ i: C/ j4 K5 q
Ladder of powers, 幂阶梯3 b1 m& @+ t' M# B7 G1 n. J
Lag, 滞后% I) ^/ l5 Q' J9 m* M- B
Large sample, 大样本
5 P: h3 F3 y- ]2 q6 D) x LLarge sample test, 大样本检验! R+ \3 k1 {! D) g) a M! i
Latin square, 拉丁方+ P2 F& B1 P: Q+ Y3 F @
Latin square design, 拉丁方设计
) n5 E& W: K5 I, s5 TLeakage, 泄漏( O# R3 I+ H3 f! N+ {+ o3 c
Least favorable configuration, 最不利构形! f- @+ K# m1 _, @
Least favorable distribution, 最不利分布
5 s- `; h2 D$ \8 ULeast significant difference, 最小显著差法2 b; _" ~8 k3 T+ x1 p
Least square method, 最小二乘法: o U/ b: b' V" f/ w1 h7 d ?" q
Least-absolute-residuals estimates, 最小绝对残差估计
7 Z! s0 {6 Y1 P' f, i9 }0 W$ wLeast-absolute-residuals fit, 最小绝对残差拟合
6 H$ E" Y8 ^+ A0 t& PLeast-absolute-residuals line, 最小绝对残差线) w2 Y/ c) W2 b2 Q/ {: s( n8 Y
Legend, 图例. y3 S7 W7 E6 h' s! r/ w
L-estimator, L估计量! N" L; O3 ]4 ~ h- r* Y1 W
L-estimator of location, 位置L估计量
& D7 F F6 U6 a% a" f5 lL-estimator of scale, 尺度L估计量8 z% k8 D8 k! n* u+ |+ }& Z
Level, 水平, B; n% c* B, |5 p
Life expectance, 预期期望寿命
' V) c4 i, e; N6 D* `8 wLife table, 寿命表- H" L& v1 C, ~. _$ f9 Z0 q! ^$ P5 ]
Life table method, 生命表法3 c, v0 d [" ]8 R( t" Q
Light-tailed distribution, 轻尾分布
& R1 _& [. {/ Q, jLikelihood function, 似然函数
2 l- Y4 G0 v6 _9 q! LLikelihood ratio, 似然比
q; m& f, R3 N$ y! yline graph, 线图0 K9 d* N9 |' R/ _3 k J6 q7 L
Linear correlation, 直线相关
. M+ Z( B' Z. u- sLinear equation, 线性方程( F2 U- e3 \# v- M" z5 n
Linear programming, 线性规划% `' U8 Q( ^" z# ^$ G
Linear regression, 直线回归
3 s# Q4 T) I) R: E) g. ]Linear Regression, 线性回归! y& N- x) y+ h* i% [) j
Linear trend, 线性趋势% I+ g3 Y0 Q5 O! r
Loading, 载荷
, Y# Z- B2 e" C: eLocation and scale equivariance, 位置尺度同变性( ?% \+ _4 ]% ~2 S F, s
Location equivariance, 位置同变性
. E3 r* I5 C; m+ b* hLocation invariance, 位置不变性
/ W4 R( A- N/ i# B R- L* a$ ~; |Location scale family, 位置尺度族5 i# K" A* [/ @' _* I
Log rank test, 时序检验
2 P7 D& j' z( T% n! A+ G) J& oLogarithmic curve, 对数曲线
2 P" A/ L8 G9 d4 q* H: W. {Logarithmic normal distribution, 对数正态分布' i8 u9 }/ y0 W! s8 S( z- s
Logarithmic scale, 对数尺度
2 t1 y5 e# _, v- hLogarithmic transformation, 对数变换
3 {" b) L9 P/ E' H( ^- u* Z! h$ }Logic check, 逻辑检查 T8 J9 T4 w9 t& l7 e
Logistic distribution, 逻辑斯特分布
( |! L/ B1 r1 Z' g1 K9 T Y: h8 |Logit transformation, Logit转换
6 {! @; k4 v9 S2 I! f- N( ]LOGLINEAR, 多维列联表通用模型 * c- L5 I0 v) S& B! x8 p/ Z
Lognormal distribution, 对数正态分布
4 ?* ]" I6 U7 tLost function, 损失函数
, v) [. V1 X& }/ O5 m4 q. KLow correlation, 低度相关* ?/ S' E' x6 S2 E; \7 p ~
Lower limit, 下限
. s+ x, D$ R8 w, ZLowest-attained variance, 最小可达方差
: x2 \2 j ]" y6 A" m2 T' pLSD, 最小显著差法的简称) Q% e O5 P( f# ^' F
Lurking variable, 潜在变量
+ D8 a1 Y: G4 c, k6 c1 GMain effect, 主效应* U$ X: {, \3 }5 m, t
Major heading, 主辞标目
4 {% n9 U4 T- R; `8 ZMarginal density function, 边缘密度函数
7 B: X. K$ A. u) F" aMarginal probability, 边缘概率
4 ^+ f5 T" Q7 c! \ mMarginal probability distribution, 边缘概率分布7 ?$ o) ]- S) n8 M. I* [% u
Matched data, 配对资料
8 h5 L9 m$ M' \5 g8 A& WMatched distribution, 匹配过分布, {, G( F3 T+ V H+ h
Matching of distribution, 分布的匹配( M- K: C: N! I j
Matching of transformation, 变换的匹配
3 h2 I/ x3 |( }- g3 pMathematical expectation, 数学期望" ]5 m) }; r! i
Mathematical model, 数学模型8 J: U' S! ^8 H' l
Maximum L-estimator, 极大极小L 估计量
, c! ]* H! A# D( VMaximum likelihood method, 最大似然法+ z. M5 O8 ]& o) z( J
Mean, 均数
' a. H. B+ ?# c6 t K. d" VMean squares between groups, 组间均方6 o h7 R$ ~+ i( c! e8 k: m! ^' l G, w
Mean squares within group, 组内均方5 `* Z, H$ i$ z' I
Means (Compare means), 均值-均值比较4 Z6 b, v/ v8 V! k4 B, w+ }5 X
Median, 中位数
9 z& s! P2 E+ {4 _2 x8 Z+ _Median effective dose, 半数效量; q5 Y" l3 J5 P) K' ^9 I
Median lethal dose, 半数致死量
9 J9 l( p% }& v4 h2 E; S5 [Median polish, 中位数平滑/ Y1 T1 h, `' h0 S9 i
Median test, 中位数检验
2 j0 V M; M/ p1 R& W* D0 Z4 YMinimal sufficient statistic, 最小充分统计量
8 n* H0 C: }5 F1 S+ T. @Minimum distance estimation, 最小距离估计
; }# f" b- b5 D& w+ Q$ m0 U: PMinimum effective dose, 最小有效量
- ?6 J: t6 o/ \8 K) `Minimum lethal dose, 最小致死量' J6 U8 x& O2 A0 t3 B' v8 g
Minimum variance estimator, 最小方差估计量
, w! A$ ? @" v# w; kMINITAB, 统计软件包) R) C: d# z; W5 G) U2 y# W
Minor heading, 宾词标目7 B; [) Q/ f+ Q
Missing data, 缺失值
, x5 {) g g ?9 v! cModel specification, 模型的确定7 f. e0 }+ a8 m6 P8 n8 J
Modeling Statistics , 模型统计4 v* H4 G1 G- I* E2 B5 I
Models for outliers, 离群值模型
r3 i. K1 ~( n/ n$ VModifying the model, 模型的修正3 h0 R, N/ k! S
Modulus of continuity, 连续性模$ F1 ]* b% Z q! k3 D; B# O! q
Morbidity, 发病率 0 M9 i) y/ K9 N# c$ L9 a9 a8 R% A
Most favorable configuration, 最有利构形. p* `, G2 A3 c# Z! w) O- a$ |
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
7 U1 n( l# Q% c$ A- d0 LMultinomial Logistic Regression , 多项逻辑斯蒂回归4 @/ ]+ ~8 C' @- h
Multiple comparison, 多重比较) p0 o# b4 L j: s! ]
Multiple correlation , 复相关4 X* o, y! I9 c3 n1 m' v
Multiple covariance, 多元协方差
, [5 H' j2 k! kMultiple linear regression, 多元线性回归! M' G; U' {8 z
Multiple response , 多重选项
# j2 z2 [' b$ x, uMultiple solutions, 多解; R7 b' r# f# D2 }4 X
Multiplication theorem, 乘法定理
; H( Z9 _/ I7 H" y, ~) wMultiresponse, 多元响应
/ b8 F. j8 l. c& j4 _) {7 K: CMulti-stage sampling, 多阶段抽样 _2 r$ D, K1 X/ Q, z
Multivariate T distribution, 多元T分布 ^1 z8 A7 b2 m$ T2 n
Mutual exclusive, 互不相容! c1 T* Q' k% L9 F6 a( B
Mutual independence, 互相独立
. @2 q( T: [0 ]; V( F9 f& \' lNatural boundary, 自然边界
, k W* y6 \% e5 Z' ZNatural dead, 自然死亡
" d7 L) R9 ]2 u2 d9 _Natural zero, 自然零
: ?6 [9 g5 s7 C5 ]; n$ ^Negative correlation, 负相关
( n% L* W5 }. h; X: v. j8 \7 RNegative linear correlation, 负线性相关
0 G+ ~+ P9 h% I4 S3 _ \$ D) QNegatively skewed, 负偏
# |) J* x: x) d: g! n4 oNewman-Keuls method, q检验/ }5 K: k$ m, E( \) b4 q
NK method, q检验
" a# R# P& ?0 R$ g: D, P; CNo statistical significance, 无统计意义( c# c/ Z* L/ E+ z' o% C
Nominal variable, 名义变量& ]0 L6 q( h( V/ }" d) H h! b
Nonconstancy of variability, 变异的非定常性
% I8 A N8 h" {$ X* ?# z; e5 Q# zNonlinear regression, 非线性相关
- [ J1 W" f8 j7 I9 w! ]Nonparametric statistics, 非参数统计
8 K) g5 O% |8 W; M" lNonparametric test, 非参数检验0 N' n1 [# I/ x7 ?8 A0 i
Nonparametric tests, 非参数检验 N) X- r' Y( h' ~
Normal deviate, 正态离差
, U% }% R3 m3 n( z6 TNormal distribution, 正态分布
, K; t; e P8 |$ ~Normal equation, 正规方程组
7 t0 i( @* P2 |, \+ pNormal ranges, 正常范围
; Z' {8 m6 F0 CNormal value, 正常值4 d Q$ f' W% S* h% G
Nuisance parameter, 多余参数/讨厌参数
2 z% R( E$ U* y& MNull hypothesis, 无效假设
* C: n+ S! V, C0 o. |$ V ONumerical variable, 数值变量. E. o- u7 ~5 t. y
Objective function, 目标函数
/ F" p8 H9 l2 U1 E9 KObservation unit, 观察单位4 ~, R3 U* s8 @( X, r/ t
Observed value, 观察值
3 i. f* G/ {8 k9 z, R5 z7 P- L6 aOne sided test, 单侧检验7 d& G0 Z z. y' i' t6 Q% K% ^
One-way analysis of variance, 单因素方差分析' Y% C+ K; I$ b, }( b
Oneway ANOVA , 单因素方差分析9 u8 X% U/ H' t+ u6 r4 w6 v8 U
Open sequential trial, 开放型序贯设计
$ O* b8 L' c- b& p) P4 aOptrim, 优切尾& _$ W, H) V9 q/ L, g
Optrim efficiency, 优切尾效率
$ j V9 D8 M9 B dOrder statistics, 顺序统计量* k ?: M7 @" m9 D; S! z
Ordered categories, 有序分类* I5 j+ E, A n( m- U
Ordinal logistic regression , 序数逻辑斯蒂回归
3 d. K R$ w0 E% z* WOrdinal variable, 有序变量
; e7 T `, G3 oOrthogonal basis, 正交基/ Q3 _3 c" R# ]; R
Orthogonal design, 正交试验设计
! _9 F; J) `* V2 }+ f4 cOrthogonality conditions, 正交条件0 p5 D& u0 w, q3 O$ @; y
ORTHOPLAN, 正交设计
& b& M k5 B/ i' V. w4 dOutlier cutoffs, 离群值截断点$ j( g( R) ^) P. g, T! |
Outliers, 极端值
6 ?* D7 L, l* |6 G J/ I) eOVERALS , 多组变量的非线性正规相关
/ E1 @, e* K: |/ a1 EOvershoot, 迭代过度
% V0 `/ f( p. b* x ?Paired design, 配对设计* @4 q( o3 J' `) E; `. U \
Paired sample, 配对样本) P% ^9 s7 z2 [7 i1 e
Pairwise slopes, 成对斜率
, m- u) D n( c# yParabola, 抛物线
& O5 D) R% x8 Y3 jParallel tests, 平行试验
+ f# i- u0 V( \Parameter, 参数
4 K" I+ V. y9 F6 E& k, x! UParametric statistics, 参数统计" I' u( v/ i* h' v8 U
Parametric test, 参数检验
" u6 F5 a7 n9 |( S4 S3 W& }5 `Partial correlation, 偏相关
4 `. y# c7 r; C' W) O) W& z4 ?/ |Partial regression, 偏回归
8 G; K, O: q+ Y" t+ sPartial sorting, 偏排序, o9 e- p5 X3 | a& T% @! b
Partials residuals, 偏残差
! T* l4 N" B+ W/ E: ?6 N- A! gPattern, 模式3 V2 S9 _5 C" Q- {
Pearson curves, 皮尔逊曲线/ y( t0 T4 s( X7 j% d8 _) B
Peeling, 退层
* S& k. J$ C: uPercent bar graph, 百分条形图" e- ^; E, h+ z( v
Percentage, 百分比: G2 U8 p4 f9 E6 w' H9 L1 M
Percentile, 百分位数
& f- P- ]( U3 r+ e, TPercentile curves, 百分位曲线' ^+ h3 }6 _- a- C* [2 S
Periodicity, 周期性( J+ o* D+ Y! X7 s# E5 [
Permutation, 排列
/ w$ `) {3 \8 W8 N8 d( O ~P-estimator, P估计量1 {% X* k n+ Q* k& P, {7 d/ I
Pie graph, 饼图
- X& P! y8 [: v Y" b: tPitman estimator, 皮特曼估计量! l. S( m1 I7 s
Pivot, 枢轴量+ k* F% E \( k% \- O
Planar, 平坦
8 W2 J/ H- F- h' J, b( e" W! Z. D$ GPlanar assumption, 平面的假设' r- }- c$ q: e! Y+ F8 r; k
PLANCARDS, 生成试验的计划卡( \- e6 R' x" j, h8 U5 S
Point estimation, 点估计
% J/ W% G0 Q2 kPoisson distribution, 泊松分布
2 x0 Y4 I1 `5 K2 I" ]+ wPolishing, 平滑( P/ W3 H5 W- r$ Z& S9 _
Polled standard deviation, 合并标准差& `! e! ^* Q# n, R9 r6 }/ v
Polled variance, 合并方差6 ~7 B8 a2 G6 ]5 ~
Polygon, 多边图
: s8 k# q) h1 a1 O8 F- UPolynomial, 多项式1 `5 k6 V% Q2 i3 t6 }' \" W
Polynomial curve, 多项式曲线0 [1 j7 U% ]( p* |, o# D& Q6 j
Population, 总体
3 w( H9 O" v; ePopulation attributable risk, 人群归因危险度. Z! A6 n& P, j
Positive correlation, 正相关
. \ t$ c' Q$ M) _7 UPositively skewed, 正偏$ T9 A) }9 N) y
Posterior distribution, 后验分布
2 v; r) F: l. j B' g( ~: UPower of a test, 检验效能
G/ w! `% Z5 p$ H3 s k1 }Precision, 精密度* F) ~3 j( |+ E$ H. P7 Q
Predicted value, 预测值
# T: K$ Z! y7 l" i6 p4 Z. ~+ l/ pPreliminary analysis, 预备性分析
& \7 u+ h: h, R6 M9 v RPrincipal component analysis, 主成分分析4 ~+ x: a. y) Q( S; ?, Z5 o4 c
Prior distribution, 先验分布
. m! }! M2 G, P. ^Prior probability, 先验概率+ B5 F0 v5 e, @ @& B, n
Probabilistic model, 概率模型2 v0 o2 D: D4 \8 I+ ]% U
probability, 概率" Q- I( ]$ v) g x# R4 ?9 H# P
Probability density, 概率密度: I+ X d2 Y' T E
Product moment, 乘积矩/协方差
( O* x9 c# T2 [Profile trace, 截面迹图
# \8 X4 A6 t9 @0 z+ i( u! CProportion, 比/构成比
8 s4 _2 V" H" D$ F9 @% fProportion allocation in stratified random sampling, 按比例分层随机抽样
, R* _0 Y: l0 SProportionate, 成比例
- `# m- U/ r6 F$ x% Y1 |Proportionate sub-class numbers, 成比例次级组含量# F w& X1 C- r r: G: V. P! b
Prospective study, 前瞻性调查8 U6 _( ~4 A, u* @: _9 O
Proximities, 亲近性 : Y% z+ {! @7 C8 }7 H
Pseudo F test, 近似F检验
( |& U5 `$ h" _' h7 q. lPseudo model, 近似模型" Z: V7 \9 U- P8 C
Pseudosigma, 伪标准差0 o% K% p, p, x. F: X2 \5 k# r# x% u
Purposive sampling, 有目的抽样2 F2 a2 T; G9 Q, y7 u
QR decomposition, QR分解0 D y1 w5 R2 ]% a6 v# m1 Z9 {+ @
Quadratic approximation, 二次近似
7 g- \4 |) s ~/ n0 iQualitative classification, 属性分类
" p' A) g2 N, x& KQualitative method, 定性方法1 f8 D' \' a+ Z7 x9 h
Quantile-quantile plot, 分位数-分位数图/Q-Q图2 X' o6 n7 C. s- K: E5 |# n
Quantitative analysis, 定量分析5 i; z! z; U @7 b
Quartile, 四分位数# @* o" y1 k+ N9 V/ c# b
Quick Cluster, 快速聚类' f1 q4 e5 a& y
Radix sort, 基数排序3 c; N; \! e# Y" D
Random allocation, 随机化分组
& J6 Q* `- h2 T& P( q9 zRandom blocks design, 随机区组设计
b$ X5 x" h- m: r8 vRandom event, 随机事件% b+ b) d9 B3 k4 \1 q& h
Randomization, 随机化
2 G4 [" _% N" W+ A6 k3 j- rRange, 极差/全距
$ y* L1 z' Y* y% j* m1 RRank correlation, 等级相关: [+ R' f; ?2 p
Rank sum test, 秩和检验
( Z3 c4 ^. f8 b+ X5 @/ u, c% ?) c- o. f9 SRank test, 秩检验3 ^" m1 G) F6 }$ Z: T
Ranked data, 等级资料, M% x& t5 {* f, o3 _
Rate, 比率2 E2 g6 S+ `! M- {) M# j
Ratio, 比例
5 j3 b6 G+ `; Z$ W! eRaw data, 原始资料
2 W( r! ?5 T' O- e5 DRaw residual, 原始残差
' m A& o$ C/ c4 A( `5 @Rayleigh's test, 雷氏检验% g' Z, j7 X7 p! [, S# L
Rayleigh's Z, 雷氏Z值 9 D/ o5 x! K: P# K0 j8 U9 L% c
Reciprocal, 倒数
& `6 ]- o" L4 \/ \+ cReciprocal transformation, 倒数变换" c- e" h/ E# ?: D; A& s% k
Recording, 记录
0 K# a' h3 O D" bRedescending estimators, 回降估计量
' b& F, X1 F8 p% v% _3 }3 i" W1 WReducing dimensions, 降维2 B' {% P2 f! J8 K5 U
Re-expression, 重新表达' L _6 }" F2 Q
Reference set, 标准组1 |$ l2 Z: l' ~6 l
Region of acceptance, 接受域
3 V* c5 ^1 x7 M) F0 qRegression coefficient, 回归系数, n7 t- _# V0 n7 m8 D/ H8 |' d0 _
Regression sum of square, 回归平方和
8 o8 A4 F1 n5 T# c1 rRejection point, 拒绝点& Z3 l9 s% b; H* F( J
Relative dispersion, 相对离散度5 @( f: `9 m% v Y# d: g
Relative number, 相对数
( d7 P h0 G' k7 q- B( X1 aReliability, 可靠性3 O+ e& f& k4 q
Reparametrization, 重新设置参数
( p1 \6 u3 ?6 m g- Z8 GReplication, 重复8 Z* I+ a" Y6 Z" n) K
Report Summaries, 报告摘要! T/ J B2 z3 n, m7 U6 x, ]5 i6 [
Residual sum of square, 剩余平方和# y! C. m' d' ?3 ]
Resistance, 耐抗性; A5 y, l! J8 l6 W
Resistant line, 耐抗线+ l7 I5 a& J, ~" ^( e3 i
Resistant technique, 耐抗技术3 x o" {. a8 O
R-estimator of location, 位置R估计量0 { I! J( ?: H9 `! B
R-estimator of scale, 尺度R估计量6 ~# _$ U$ z2 O! u
Retrospective study, 回顾性调查
( q9 v* v9 I3 ?. _7 FRidge trace, 岭迹
+ U7 ~; `6 k: t# @) s+ rRidit analysis, Ridit分析
- t2 N+ s( r% q" V5 eRotation, 旋转1 X, Y% `# e$ g1 s( N `
Rounding, 舍入
; n5 E3 k. P$ D* m iRow, 行
5 B; o# X( j! \Row effects, 行效应
* I( i$ h2 V" x' bRow factor, 行因素
% G1 A2 D0 ^+ u/ u1 X% Z& {RXC table, RXC表8 V. E" ]2 d& _- E2 r9 c
Sample, 样本 T* S) h! V3 M* d' @& v8 Q7 K& m* F
Sample regression coefficient, 样本回归系数
( ~. V" w1 y2 gSample size, 样本量9 U9 |1 N U: y9 z& H
Sample standard deviation, 样本标准差
1 f }; t3 H/ g. @) zSampling error, 抽样误差
z: y1 w8 z3 I3 U5 X1 k6 oSAS(Statistical analysis system ), SAS统计软件包
1 T; A, C: I, k0 c' J& U+ ], kScale, 尺度/量表1 j$ m3 y' b% d7 O3 {# j; R9 u8 o: D
Scatter diagram, 散点图
( B+ B: d2 W m" u' kSchematic plot, 示意图/简图
' O% J5 ~1 j4 V0 SScore test, 计分检验
C; N' d* m( b$ h* Z$ c2 fScreening, 筛检
( [& W ?* G, Z1 V3 S7 I7 ?SEASON, 季节分析
; h$ T5 I# L; v" B0 ]/ |( X, vSecond derivative, 二阶导数
' {4 O# H6 y! x# B0 k4 _$ O4 WSecond principal component, 第二主成分- r3 `5 c) w% w3 U# R& K* J/ b
SEM (Structural equation modeling), 结构化方程模型 % [* s# m" c$ @' \; Z4 d* [8 Y( J
Semi-logarithmic graph, 半对数图
; Z+ w$ E4 { X7 B7 c$ ~: I, C2 kSemi-logarithmic paper, 半对数格纸1 x1 O8 g* T7 @
Sensitivity curve, 敏感度曲线% P: ^1 x. C3 L" N1 e8 I6 V8 z
Sequential analysis, 贯序分析
5 g. i0 P/ H+ ]Sequential data set, 顺序数据集" j2 ^- [$ ~5 X& a) D5 J& R
Sequential design, 贯序设计8 Q) }& h$ h# K- t% u
Sequential method, 贯序法
1 r4 Y8 B5 d+ f1 vSequential test, 贯序检验法) x0 h, c7 `9 f! A' R- J, L
Serial tests, 系列试验
; f9 g- W# i8 x; r& `Short-cut method, 简捷法 7 m/ c/ Q* d3 M- w0 g
Sigmoid curve, S形曲线
2 ~6 N0 Y( I0 p) pSign function, 正负号函数
$ a( F" |+ E& S2 G* Z* rSign test, 符号检验" C4 |* y/ j' E) J" h
Signed rank, 符号秩
9 T) P% w v& [8 J2 r% _Significance test, 显著性检验
! a% z& C# S& u0 NSignificant figure, 有效数字5 Q+ R: R5 E% i* ]
Simple cluster sampling, 简单整群抽样9 H4 i3 z% i) N6 w# @3 i! `
Simple correlation, 简单相关
/ _& c; a* K% D" b8 q5 J% E+ s6 \Simple random sampling, 简单随机抽样
9 a- Z2 w/ u, u! t4 O' QSimple regression, 简单回归
; w+ i$ F, b4 ^" a- {( ^simple table, 简单表
# J1 u' f3 b' J9 a2 k+ ?" b' ?Sine estimator, 正弦估计量
/ l8 G6 Y/ g: hSingle-valued estimate, 单值估计
# B- u) W# e& Y! uSingular matrix, 奇异矩阵
1 B' h) J1 F$ F4 lSkewed distribution, 偏斜分布* s q! t# J* N8 c* w) {) @
Skewness, 偏度3 r' ?' ^# G5 z8 t# G2 t# `+ ~
Slash distribution, 斜线分布
5 H* t0 p' u- z) r/ V- _" cSlope, 斜率
/ O2 @" ]. Z8 P$ o% k( Y5 gSmirnov test, 斯米尔诺夫检验
/ O: e/ k3 O8 ~" J+ U- u7 pSource of variation, 变异来源
8 l4 k" C6 d! O: xSpearman rank correlation, 斯皮尔曼等级相关 m' W5 V' e# w' y1 t* ^9 n$ a
Specific factor, 特殊因子
. o- j" r o6 Q2 v4 Y" X8 I% hSpecific factor variance, 特殊因子方差
4 J2 D3 y; T$ a. x" ASpectra , 频谱
, r" |; q7 q5 nSpherical distribution, 球型正态分布
& m7 w w7 e5 l5 i; GSpread, 展布
/ x {* ~$ N4 M! Q- h+ ?0 r$ XSPSS(Statistical package for the social science), SPSS统计软件包
! V: `/ n4 H; N$ wSpurious correlation, 假性相关& J# z) |. m8 L1 h$ Y2 g5 C) j* g
Square root transformation, 平方根变换
6 H c; A' l1 K5 h4 }Stabilizing variance, 稳定方差) \0 W( }7 Q9 `. r, j4 q
Standard deviation, 标准差: N0 f1 J1 s, n; H% S$ o! n
Standard error, 标准误4 D4 ^) ?" E5 u& ~
Standard error of difference, 差别的标准误
" m6 l _/ F6 b- c5 N# d2 ~' G/ s1 ?0 o7 oStandard error of estimate, 标准估计误差5 S9 d* r* E$ X6 F. L U' [
Standard error of rate, 率的标准误
7 L- o. C" i8 l, C* OStandard normal distribution, 标准正态分布
% x9 o3 |" m) W" W* U8 RStandardization, 标准化 D; c+ @) ?% l4 N, N# G$ k% |' C
Starting value, 起始值4 e% I4 I0 T2 G
Statistic, 统计量
" i, ?" h1 T; YStatistical control, 统计控制5 E2 G3 T( N& u" \
Statistical graph, 统计图( P+ k& v* `; m& n6 G' ?
Statistical inference, 统计推断2 ?9 c* [. ?! d0 Q8 }4 i/ x
Statistical table, 统计表
8 S, l1 q! U5 J; [Steepest descent, 最速下降法* M/ ?: e" K4 I+ G
Stem and leaf display, 茎叶图
& G. C& e4 G m, B9 nStep factor, 步长因子
( {+ z" P; z; }9 G8 j. aStepwise regression, 逐步回归
+ K! f+ ] {2 O, i+ W( z7 f- rStorage, 存9 k; K$ k& r, V5 u) P
Strata, 层（复数）
& y+ m4 u% n8 x4 YStratified sampling, 分层抽样+ t( H; |4 F `6 d- b
Stratified sampling, 分层抽样( M5 g: c& i3 N, F A `5 G4 [( @ O
Strength, 强度7 @* O, D- g l0 O3 y& q
Stringency, 严密性
" y" S2 N. Z5 |Structural relationship, 结构关系# \# r2 ~' a- {5 ^
Studentized residual, 学生化残差/t化残差4 C5 K9 o) W/ [
Sub-class numbers, 次级组含量
; s" v; g' R* y; dSubdividing, 分割
6 A! ^$ a+ v, G3 PSufficient statistic, 充分统计量6 I' f# r) D& Q" A
Sum of products, 积和! H; t! M0 k( O- P2 m9 u
Sum of squares, 离差平方和; m$ F$ l0 A p
Sum of squares about regression, 回归平方和; ]2 n$ X9 V1 Z2 Q: W" `# i3 i
Sum of squares between groups, 组间平方和
# |: g# q5 h1 @& d S8 I. cSum of squares of partial regression, 偏回归平方和
5 i" e, H( b3 Z! J9 ?3 X/ ~Sure event, 必然事件# r: v- q+ M% d' n/ T7 S
Survey, 调查" o b0 i# G! Z
Survival, 生存分析$ [: ~4 i" N# p) ]
Survival rate, 生存率$ v3 H, z2 \& _! v1 F2 p
Suspended root gram, 悬吊根图
, W9 C- j$ R2 h6 t# ISymmetry, 对称! Y C, j5 d8 G4 X/ O
Systematic error, 系统误差7 q( O' U/ @4 ^6 N9 s
Systematic sampling, 系统抽样
- \6 B/ x, N% c% @+ O2 kTags, 标签1 Q' t. a/ e Q( V& A# Q4 b. Y
Tail area, 尾部面积
$ P" @: b& x ^Tail length, 尾长
) J1 i. X1 j0 [Tail weight, 尾重3 |+ l# w0 n6 @# d5 t& M7 a
Tangent line, 切线
9 } q: X6 V$ ~ h& CTarget distribution, 目标分布9 \/ T& V8 m( B1 f, f
Taylor series, 泰勒级数
7 Q& |7 a$ |* T N3 X4 c! @# dTendency of dispersion, 离散趋势
8 N, T' l8 c0 M8 k$ {: hTesting of hypotheses, 假设检验7 r: ^7 s& Z7 I- W. j# _9 B; g
Theoretical frequency, 理论频数
$ U% l e7 y) E1 O7 C. h# t0 I8 KTime series, 时间序列" }- q# J4 x! Q0 C) W
Tolerance interval, 容忍区间
1 Z4 J- G& O* D( STolerance lower limit, 容忍下限- v; C$ L- m G
Tolerance upper limit, 容忍上限( ]7 C, ~% W" r, e. `0 W% t6 J
Torsion, 扰率7 b$ N. K+ W/ t! ~; X; V V) @
Total sum of square, 总平方和
5 V+ N1 ]8 e4 Z# h7 ~$ KTotal variation, 总变异
& M2 I* h0 d, \5 T1 b% u! h) NTransformation, 转换
0 F; X! W9 `- M8 C, P5 g+ @* WTreatment, 处理
5 ?# ~$ f/ S& ?: s" b0 LTrend, 趋势) Q2 Q* G6 A# c
Trend of percentage, 百分比趋势3 Z; m' H3 p4 i O' c. l
Trial, 试验
@- T0 a t7 A! p& `Trial and error method, 试错法+ F+ p+ Z' N9 c j) J- f' d
Tuning constant, 细调常数
$ P4 K; k; h, H) a: r8 iTwo sided test, 双向检验
- J+ b( R' P( Q% B( i: A4 VTwo-stage least squares, 二阶最小平方
9 b2 N! t3 V! {4 `% KTwo-stage sampling, 二阶段抽样& _5 m+ @" z6 o; C% P" E& Q* f2 R
Two-tailed test, 双侧检验
- @) J, ?- t- X7 ], v0 e& L) STwo-way analysis of variance, 双因素方差分析
7 O) t$ L3 B1 c2 W+ u y M( ] O' xTwo-way table, 双向表" m- X) D; h0 _" E, j
Type I error, 一类错误/α错误, f* }& y$ V+ B0 t
Type II error, 二类错误/β错误
* Q- Z! f/ X- R2 uUMVU, 方差一致最小无偏估计简称+ p/ F4 a8 Z: O3 o9 g+ s; ^
Unbiased estimate, 无偏估计# ~% X2 b8 U0 F+ R$ Y; }9 c
Unconstrained nonlinear regression , 无约束非线性回归
4 D; V6 t- C, N$ f) V# aUnequal subclass number, 不等次级组含量% k' x* N& P, R& j m' \: i
Ungrouped data, 不分组资料3 B$ y- \% `7 Q: q0 f) N' x9 V
Uniform coordinate, 均匀坐标( ?( [9 m2 T/ r1 {8 w
Uniform distribution, 均匀分布
/ X4 a7 p$ ]" [. Y. p4 N6 s9 P( ?Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
; S4 V% I1 B# GUnit, 单元
& H! m4 w; k' R2 FUnordered categories, 无序分类# v. x3 p$ H! s7 s
Upper limit, 上限
4 p$ T3 V/ g2 \0 L9 SUpward rank, 升秩
( p& c, k& Y5 K4 wVague concept, 模糊概念
3 a* Y1 ^% w! m9 B- S- u; q9 Q8 BValidity, 有效性! H* z- l2 F4 O5 V: h5 }$ t
VARCOMP (Variance component estimation), 方差元素估计
5 Q+ a% f A& O3 u/ k0 d9 RVariability, 变异性' o4 Z5 X% m' g8 ]
Variable, 变量
A( m+ H# {0 ?, Z* pVariance, 方差4 O+ j$ N, _! ]& f# M( j
Variation, 变异
6 F+ o6 W, U) WVarimax orthogonal rotation, 方差最大正交旋转& V7 e, z$ ^" u: ]/ i2 u- s
Volume of distribution, 容积# y; `$ H2 `# }* c: ]9 ^
W test, W检验
( M7 z1 |$ n+ YWeibull distribution, 威布尔分布 V, t2 ~! Q8 T- o5 d2 a6 ~" b
Weight, 权数
4 A( ?# h; S7 F0 Q9 DWeighted Chi-square test, 加权卡方检验/Cochran检验 [, U, |" j5 b: n) M
Weighted linear regression method, 加权直线回归
- h* J+ q& n4 c W( NWeighted mean, 加权平均数
9 A: b9 [- i* T2 rWeighted mean square, 加权平均方差
; f$ c, j4 U1 BWeighted sum of square, 加权平方和
& s( N9 }0 w6 N2 ~7 F4 {0 I1 [0 WWeighting coefficient, 权重系数
" K* n4 A( K" E/ K H5 W* b: DWeighting method, 加权法 ) @5 T7 v! _6 G+ J) p8 s5 I% l* U
W-estimation, W估计量, k0 a8 g2 l4 p" i, }" |
W-estimation of location, 位置W估计量% L" i4 `1 N$ M; Y! C
Width, 宽度+ Z$ @: E, @. C, w+ i; d2 M4 |" t& o
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
, ?! f9 t& ~8 j5 n$ R0 G- sWild point, 野点/狂点
- i; C& K* z+ k* cWild value, 野值/狂值
! r4 e$ v4 Y- VWinsorized mean, 缩尾均值, v% j& [ b Z4 P8 W. D; {( |; n3 ^; p
Withdraw, 失访 4 @+ v9 O( _8 s* b( R
Youden's index, 尤登指数
' K& u. J# R5 I+ U- h' m7 lZ test, Z检验9 \9 ^* V4 {$ z) t7 Q4 E5 g( V
Zero correlation, 零相关4 I) L6 \( V, v! f0 g" ^; P8 x
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
