|
|
Absolute deviation, 绝对离差
9 W2 i h% g6 s0 h4 X3 U4 mAbsolute number, 绝对数 ^- |2 N: `: B( \
Absolute residuals, 绝对残差
* ]% W( B6 l3 O6 XAcceleration array, 加速度立体阵
$ o& G l4 J) Z6 K8 uAcceleration in an arbitrary direction, 任意方向上的加速度
7 H6 E* t( A- D/ kAcceleration normal, 法向加速度
1 V [3 A5 r' m; w* O3 `- qAcceleration space dimension, 加速度空间的维数! B, r8 p4 g5 D6 P* }
Acceleration tangential, 切向加速度
& f3 ]* M% r' ]0 O+ ~' f: Y3 fAcceleration vector, 加速度向量
6 l/ L6 ^" l4 k! L+ jAcceptable hypothesis, 可接受假设
) p& ^! }8 ]+ Z, [4 S/ {1 d3 x7 h9 zAccumulation, 累积3 l7 v3 T& p5 { P& K
Accuracy, 准确度
* g. ~8 m& a6 e5 {1 s6 tActual frequency, 实际频数
! q4 w0 p$ v9 L- R0 ?Adaptive estimator, 自适应估计量
. [6 k6 I3 i7 y8 H, m5 JAddition, 相加
. S" K0 [) u9 ^# N" a" m uAddition theorem, 加法定理
+ p2 X* j% h9 }2 j% YAdditivity, 可加性$ D/ `7 f* A- V* R! f/ B
Adjusted rate, 调整率
5 s0 r: X# Z F; D# c% P+ qAdjusted value, 校正值
/ v K2 ^0 _, m3 lAdmissible error, 容许误差- @4 \: j4 L# z
Aggregation, 聚集性
8 U/ O! H& V) l6 KAlternative hypothesis, 备择假设
8 v4 L. r5 S! H; ]; [Among groups, 组间' Q: k, G- a: z8 c
Amounts, 总量
0 M; o! @; v2 S5 IAnalysis of correlation, 相关分析% X! Q% P: d4 C- l& G& Q6 r( U0 t
Analysis of covariance, 协方差分析. D6 p; Y8 K" r- p! J4 _3 ?2 C
Analysis of regression, 回归分析
2 ~" o* Z6 x8 i- v9 @Analysis of time series, 时间序列分析0 K4 I1 P( B1 ^6 X5 d
Analysis of variance, 方差分析
$ `; u$ D+ S0 y9 u5 g' mAngular transformation, 角转换" \: F; @9 S& j* Z0 Z) e9 @
ANOVA （analysis of variance）, 方差分析 e" ~0 `+ v& R! c N* ~% r
ANOVA Models, 方差分析模型2 q2 Q5 q* M8 Q7 Y% o9 o7 u0 Y& {" V& I
Arcing, 弧/弧旋
6 s( |! f" c5 N7 ]+ sArcsine transformation, 反正弦变换$ k3 s$ B+ {6 [
Area under the curve, 曲线面积
+ E* j" a1 ~" u! y DAREG , 评估从一个时间点到下一个时间点回归相关时的误差 + u4 c$ o1 D! S7 O- N# [
ARIMA, 季节和非季节性单变量模型的极大似然估计
( Z8 ?" @7 p# t3 c+ [3 @6 a! o. ^Arithmetic grid paper, 算术格纸! ]; Z8 { T$ C* T
Arithmetic mean, 算术平均数( J+ [ w& P6 y
Arrhenius relation, 艾恩尼斯关系
% J, J* d' Q) \4 a' ?Assessing fit, 拟合的评估' z0 T+ [. a% }3 }
Associative laws, 结合律1 o$ _; R; r3 f" N# E( z
Asymmetric distribution, 非对称分布0 n N6 C% ]/ {+ h
Asymptotic bias, 渐近偏倚1 b8 X: f+ r+ g v- ?2 H
Asymptotic efficiency, 渐近效率( U I& J2 Z; D% H
Asymptotic variance, 渐近方差
6 `# _: U" `) ~# K* `Attributable risk, 归因危险度
7 X0 ^/ }4 y8 O! H: xAttribute data, 属性资料
4 n# q- t% r5 j# G8 ^) q+ FAttribution, 属性. b( Q4 e M4 D. q$ b c. s- b6 u
Autocorrelation, 自相关5 N5 o5 t \, x8 h7 W* X; U; L
Autocorrelation of residuals, 残差的自相关
: x; T- M8 F$ C7 w4 `Average, 平均数3 G! A5 x7 i4 V! E, k
Average confidence interval length, 平均置信区间长度
( k5 u9 ^1 x: RAverage growth rate, 平均增长率2 u' O# U% N8 l! \% U, K, @; l
Bar chart, 条形图
/ f/ P9 ~6 P' v$ J+ t8 _2 eBar graph, 条形图
t& L2 R( l5 Y7 U! X8 ~Base period, 基期
% B# Q3 W/ b; N, B) pBayes' theorem , Bayes定理# q( j2 p6 W# a1 z5 i) ~0 \
Bell-shaped curve, 钟形曲线: }8 p: T1 Y) j9 G& {
Bernoulli distribution, 伯努力分布
, `/ g; D1 V* N: F6 m9 Q9 EBest-trim estimator, 最好切尾估计量% M2 K6 j9 J# p0 O; I
Bias, 偏性
+ _6 o: s1 d1 r) @! qBinary logistic regression, 二元逻辑斯蒂回归
, c( \% t5 r' ~: i# [% e( s Q, a$ t- ~Binomial distribution, 二项分布
" b! O: z5 R6 k6 z `Bisquare, 双平方4 l7 A8 F$ U. |- F
Bivariate Correlate, 二变量相关$ R) M0 O( q- k
Bivariate normal distribution, 双变量正态分布$ @' v( u% X# `: d4 ~3 i* C. w
Bivariate normal population, 双变量正态总体( [: e' q5 ^; j1 X) j
Biweight interval, 双权区间) A. ]% e" X, b" D- D, ~
Biweight M-estimator, 双权M估计量
% m! G% v' N' U! H% k# rBlock, 区组/配伍组1 \ o# i. E8 [. C: b- O
BMDP(Biomedical computer programs), BMDP统计软件包7 [* w. P& t2 t$ P) n) ^
Boxplots, 箱线图/箱尾图# k4 w7 `( s9 F
Breakdown bound, 崩溃界/崩溃点
. v: S* a+ }% S, _% MCanonical correlation, 典型相关
# _7 H3 V9 J' W7 S2 ^/ ~Caption, 纵标目1 E' [$ h, z. ?) u4 ]- O/ p
Case-control study, 病例对照研究
4 z8 d+ g' p( D+ Z/ oCategorical variable, 分类变量
5 E+ ^% h) ]& C; O5 m* r3 r6 |/ sCatenary, 悬链线
9 [+ ]1 Y$ @' o- H8 \8 {" @/ yCauchy distribution, 柯西分布7 M& l9 P# N7 X2 Q# d
Cause-and-effect relationship, 因果关系1 z" `3 G7 b8 B7 ^* J
Cell, 单元" h# S. {% ]& s" o9 y/ p
Censoring, 终检 N& ?, g8 N% j* b: {! l
Center of symmetry, 对称中心
" s0 r* j! S3 i, C. \Centering and scaling, 中心化和定标. I; i1 R! }8 w% s
Central tendency, 集中趋势, ?0 c2 W6 N" o% X" k& T1 z
Central value, 中心值
9 C/ B; o# I+ {0 N; r" bCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
. n9 Z' d9 M0 ?: c( TChance, 机遇
7 \" J& t8 r/ B9 H i w0 SChance error, 随机误差3 X1 J0 k1 W, A! l/ q
Chance variable, 随机变量$ h0 e0 E. N9 Z @% O$ T3 e
Characteristic equation, 特征方程
( e! g% T2 Z& Y3 f8 M6 T) L4 HCharacteristic root, 特征根- v1 N' o- R/ S5 E' h
Characteristic vector, 特征向量* q6 \9 O) t; p% K* e$ n& w6 q
Chebshev criterion of fit, 拟合的切比雪夫准则
( R9 e5 h- W" A; TChernoff faces, 切尔诺夫脸谱图8 ~2 W1 e" U, x1 E! f7 \1 C; U0 a
Chi-square test, 卡方检验/χ2检验
' P3 P1 a/ d" f% E R8 FCholeskey decomposition, 乔洛斯基分解
- ?4 n4 z/ y% u) X2 G& w( M# {Circle chart, 圆图
1 E, |* `0 p1 I1 `Class interval, 组距* ^- D# E/ V: U
Class mid-value, 组中值
# n7 B+ @! A% p- ~3 HClass upper limit, 组上限, B' V" R: n- |) l2 b
Classified variable, 分类变量
: {; _7 H4 k* b# ?/ v, N6 T6 ICluster analysis, 聚类分析
5 t7 a; X- i( m, O0 Z! E9 VCluster sampling, 整群抽样
f5 Z- d9 f9 C& u1 L4 N% ECode, 代码
6 I4 F+ m/ o* i [5 ]1 ?5 t, PCoded data, 编码数据
/ ]6 r8 G* h% n fCoding, 编码
, n2 a7 e8 q- l7 K) c% WCoefficient of contingency, 列联系数; j8 a3 T1 I2 z5 ] @5 S/ z
Coefficient of determination, 决定系数
5 ]; B8 A+ P6 n( L" K; v: h+ R7 \Coefficient of multiple correlation, 多重相关系数
* G* M9 n. p4 R5 |1 c, rCoefficient of partial correlation, 偏相关系数
2 y( D) b0 @ P$ CCoefficient of production-moment correlation, 积差相关系数
( O. s, }, y9 ]- l; j0 D# E/ XCoefficient of rank correlation, 等级相关系数6 O1 ]6 b* V. j! H& b4 w
Coefficient of regression, 回归系数
1 k7 U" d& ~" \% `( K GCoefficient of skewness, 偏度系数
- l ~" O$ w: j5 UCoefficient of variation, 变异系数
* [! E9 K3 P8 x2 V) rCohort study, 队列研究
" Z0 O N* ?/ X3 s* P7 hColumn, 列! Y7 `' N7 s1 s7 ?: k" Q7 h
Column effect, 列效应; _, K7 Y* B0 m: b9 x% g" J, W
Column factor, 列因素2 W- H8 J8 P1 [" u" {( j1 G/ {
Combination pool, 合并9 a, u6 E m8 Y" i6 \
Combinative table, 组合表' U9 D$ f" B6 P1 V
Common factor, 共性因子
3 X/ e. H) O( E8 v: ZCommon regression coefficient, 公共回归系数+ @+ `" B6 F6 @$ e' y7 g
Common value, 共同值
( {* C' g; @. h; }7 t+ u" d6 P5 }Common variance, 公共方差8 E( \4 {+ ^9 ^1 c: U& J
Common variation, 公共变异0 L. K6 a9 D z9 C0 S
Communality variance, 共性方差
5 f- ^; n: a9 d1 x7 h XComparability, 可比性, d' S0 k8 b7 [( g5 L' |
Comparison of bathes, 批比较
9 p5 o/ L, U) [' |1 ?4 {/ u9 }Comparison value, 比较值5 w/ I. x9 o' w# E# c, n
Compartment model, 分部模型1 _. W" g: Q: O, f% I3 H6 u; u V- O2 [
Compassion, 伸缩8 Q1 P/ E v5 O7 v& C) {
Complement of an event, 补事件
/ T! |. e8 }& p, e# R' d1 cComplete association, 完全正相关
0 y2 |7 q- |2 a1 XComplete dissociation, 完全不相关: j8 b; P) |% M, o7 n% d
Complete statistics, 完备统计量
& a2 c: z) o$ f4 Q WCompletely randomized design, 完全随机化设计
3 X, i( O! F! A# c0 O9 I- IComposite event, 联合事件# f* X% y3 S3 k- `! ~7 L
Composite events, 复合事件, Z* d j+ ~4 e }0 p7 K, s
Concavity, 凹性- j1 l; A$ _$ u4 ]6 [
Conditional expectation, 条件期望( G( B/ K3 r3 }9 o) A
Conditional likelihood, 条件似然
( _/ V. M7 `/ ^" {Conditional probability, 条件概率. S3 _# D, P9 [2 x& a, A
Conditionally linear, 依条件线性) u/ k- Y5 ~3 ]# |
Confidence interval, 置信区间
9 |2 {9 z, E, W; @3 R6 O2 |Confidence limit, 置信限: F4 ?6 |. T$ R8 G
Confidence lower limit, 置信下限
5 \2 `- P& n( v! |! |/ _9 dConfidence upper limit, 置信上限
) I# Y2 Z9 M9 \5 e" c" W# pConfirmatory Factor Analysis , 验证性因子分析7 G# E1 N' W" _- _. Y7 D6 ~
Confirmatory research, 证实性实验研究 U! c9 r" L7 B. b0 L
Confounding factor, 混杂因素
9 i$ T, Y7 l2 w- B- cConjoint, 联合分析
9 f7 }" e: c# |, p9 i n2 MConsistency, 相合性
1 @7 }; ~! e! c) nConsistency check, 一致性检验
) A) P2 S% Y& c+ Y) uConsistent asymptotically normal estimate, 相合渐近正态估计
) Q% v# f8 e. r8 Y* Q& g0 c9 OConsistent estimate, 相合估计
, d1 v! p8 t0 K( n" t6 u3 jConstrained nonlinear regression, 受约束非线性回归- ^$ i" k; _4 p( D0 @' i% A. F2 Y8 q
Constraint, 约束- o2 Z/ B O. B- ?
Contaminated distribution, 污染分布4 ~5 F% r" B* W, H
Contaminated Gausssian, 污染高斯分布; I I2 u, l9 @" K+ S2 R$ U
Contaminated normal distribution, 污染正态分布
* [/ C: c1 o/ n% x/ T4 F4 g# cContamination, 污染
$ m- L, n4 E# d$ N0 z5 ?Contamination model, 污染模型( I) I# e, f! H" A, Q3 N" \/ J) L1 k
Contingency table, 列联表
$ j3 Y* {# W* d- \8 VContour, 边界线
- e: ?% \. p: uContribution rate, 贡献率. W1 f3 }8 Q, {) m% E
Control, 对照8 g* g) g. l2 n3 h- f
Controlled experiments, 对照实验2 n9 Y8 }% \6 F" N* `- U
Conventional depth, 常规深度
+ i' D2 I1 P" x! DConvolution, 卷积
a8 [* | p* A7 s# DCorrected factor, 校正因子
K) L6 F$ J: }Corrected mean, 校正均值
% @! c, D1 L* n; Q" k# eCorrection coefficient, 校正系数
R; |8 ^( O: R2 r! y) E9 U: [' WCorrectness, 正确性
5 p4 T2 d( n2 a; zCorrelation coefficient, 相关系数4 |( C/ a" S1 ?! i. U- Q) \- S$ V& D
Correlation index, 相关指数! G4 c8 R4 {4 O% A3 \
Correspondence, 对应# `2 v& w! N5 P( u2 W
Counting, 计数0 _ A4 w; A+ d: T8 R" W9 b
Counts, 计数/频数/ X7 K3 z' f. O4 P# b$ j
Covariance, 协方差
1 A" e3 a* \5 _8 OCovariant, 共变 - S) W$ {* j* N' B' o5 a$ V
Cox Regression, Cox回归! g- |, C$ {/ r
Criteria for fitting, 拟合准则
' N2 M: ?( v- M2 G5 uCriteria of least squares, 最小二乘准则
/ `; C/ i# A8 F+ y4 }Critical ratio, 临界比
6 [* |5 t% Z/ k7 B* @Critical region, 拒绝域7 l: O4 h6 C8 @& s" I: f* {5 z
Critical value, 临界值
6 ~/ ?# i" J$ E1 D% j* R' E: m; lCross-over design, 交叉设计
& Y9 q0 s+ I+ W9 Q% H7 qCross-section analysis, 横断面分析# E4 [. J0 F7 c7 d0 h( E3 f
Cross-section survey, 横断面调查8 Q. M2 E- h* Y* W! Y9 M
Crosstabs , 交叉表
) q& o; I2 Z3 \/ c( |Cross-tabulation table, 复合表3 ]* ~, H; P" C4 `6 z) n. e
Cube root, 立方根
6 u/ {$ L$ n2 yCumulative distribution function, 分布函数9 a; ^" A! c" w% b* z
Cumulative probability, 累计概率( r! a" u' J8 F; K$ k2 t
Curvature, 曲率/弯曲1 D$ r3 y# |# p- K
Curvature, 曲率
( \9 E& Q7 {. x0 tCurve fit , 曲线拟和
* _( a7 S( L! U7 mCurve fitting, 曲线拟合
& o _0 x5 c8 j6 R7 M, e4 \4 pCurvilinear regression, 曲线回归- T+ f8 J3 K) X# v- `
Curvilinear relation, 曲线关系
" ]/ `$ s6 b, b7 D3 i$ ACut-and-try method, 尝试法+ R Q: z4 k- p0 g5 Q% K# X. W
Cycle, 周期1 k% k/ Y! n. B" G' y
Cyclist, 周期性! `6 A2 e1 ?* a9 Q$ }
D test, D检验+ m2 L; A( j7 ~5 @4 c& b/ b
Data acquisition, 资料收集1 [: Q* {, g4 @" E& J" P1 S
Data bank, 数据库
8 q! H: ^3 ~7 h- P+ `Data capacity, 数据容量- T2 \( e0 @: Y/ F4 x1 m( o
Data deficiencies, 数据缺乏
3 Y$ y. g2 O0 v& @Data handling, 数据处理
! E6 F: O9 c5 E8 ~) e7 z$ |Data manipulation, 数据处理
5 z; a/ H0 m1 N; MData processing, 数据处理
6 c( T( E& ^; Y: o; p! EData reduction, 数据缩减" f% g2 ?3 Y5 @" b% q; F
Data set, 数据集
3 p$ F+ |' e+ T" u l) Q& x, BData sources, 数据来源: t1 c6 E# ~6 r% w7 Z
Data transformation, 数据变换 c* _' e# h4 T2 W
Data validity, 数据有效性 L6 g b- y7 K+ C6 Q
Data-in, 数据输入
4 n8 j7 F! N# v7 ^ U% ]; q& oData-out, 数据输出
3 G& N: \3 J4 A' L, j pDead time, 停滞期4 N/ B- h6 W" L; G
Degree of freedom, 自由度
. k3 o/ L! w# T eDegree of precision, 精密度
+ ], P6 y; |. _6 _Degree of reliability, 可靠性程度
$ U! Q) F4 y- Y0 \' BDegression, 递减+ W# w% `2 [* T$ O( D
Density function, 密度函数
# R! T8 a+ {. u; p( j# YDensity of data points, 数据点的密度
% f4 a: i2 G& Q* d6 ~, kDependent variable, 应变量/依变量/因变量
) a: ~0 f2 i* } q tDependent variable, 因变量
4 Y( L# F! R0 d5 K/ {1 m( XDepth, 深度
; W7 d# {2 R" Z1 C2 d+ p9 hDerivative matrix, 导数矩阵! r, s# Q9 u! N' c) Z' K# X9 u4 y
Derivative-free methods, 无导数方法
: [# c1 W, l# G% |+ h& a; T# ]Design, 设计
* O! k9 O1 W4 L1 r1 P% w& HDeterminacy, 确定性
8 i. E P; d/ J# b8 F9 _Determinant, 行列式: |9 Z9 p- g5 Q. W. F+ u
Determinant, 决定因素
3 m5 T- q. P, p# M `, KDeviation, 离差
5 f4 C7 I( P0 B9 p, H2 VDeviation from average, 离均差
7 W8 F( k5 M# u+ z5 tDiagnostic plot, 诊断图
! F% t, g6 U$ U# u( IDichotomous variable, 二分变量5 R0 _7 `# H. t/ L
Differential equation, 微分方程7 i0 j* Y- c! w3 f4 b- W6 I
Direct standardization, 直接标准化法
; |' }2 P( J4 bDiscrete variable, 离散型变量' @2 \0 {$ f& z9 h/ x* M! d6 S
DISCRIMINANT, 判断 ' u4 ?; M- w1 Q; X; G
Discriminant analysis, 判别分析
. A5 b( y3 J eDiscriminant coefficient, 判别系数2 r( b: B1 P+ P! h: R
Discriminant function, 判别值9 Z" x" h% T6 R2 ?9 x+ @% Z: l
Dispersion, 散布/分散度) T, `4 z2 U: h. C0 j$ ~4 v
Disproportional, 不成比例的7 o$ L/ P5 j- }5 X; S2 @4 p
Disproportionate sub-class numbers, 不成比例次级组含量" _% z. U! |' U4 m8 x2 Q
Distribution free, 分布无关性/免分布/ T T- c0 P) s* L7 R1 G c
Distribution shape, 分布形状% n) r- Y) u( E9 [, O
Distribution-free method, 任意分布法
; J0 G; ~: g9 E+ PDistributive laws, 分配律
, _- K# Y, |2 _+ ODisturbance, 随机扰动项5 e! R' @9 A3 U# A, R9 }9 c
Dose response curve, 剂量反应曲线( C* {* S( t1 s7 \* n
Double blind method, 双盲法
4 s* m" N, A) Y. c. C2 H TDouble blind trial, 双盲试验
4 S K7 @; {( uDouble exponential distribution, 双指数分布6 s3 O# a; O. J# S/ x
Double logarithmic, 双对数
6 [7 e) E# c" ]5 F! IDownward rank, 降秩2 m! P$ Y- c5 v( [
Dual-space plot, 对偶空间图
* B, b3 |- w9 p* B( r7 zDUD, 无导数方法& s3 p) j3 X+ S. P5 a$ Q" X
Duncan's new multiple range method, 新复极差法/Duncan新法
3 ~7 G' S4 k5 M5 A0 {2 K0 `Effect, 实验效应
' y' b) H3 |- R1 aEigenvalue, 特征值
* }5 t6 [: h- b2 Y; h/ R {Eigenvector, 特征向量4 }* c; g5 T; c' W9 q ^
Ellipse, 椭圆7 C, ]: ?* O a0 f
Empirical distribution, 经验分布: T0 i* }9 [6 R
Empirical probability, 经验概率单位
- L: c J$ Z+ rEnumeration data, 计数资料' l0 o7 a+ S+ X. b( Z% M
Equal sun-class number, 相等次级组含量4 H2 t8 S) Z# ^0 ]' o9 p
Equally likely, 等可能) T3 S/ t3 y0 t
Equivariance, 同变性 T3 U+ O1 v: s) q+ x- U: m" e
Error, 误差/错误0 c6 p2 ?4 n2 R( `* D
Error of estimate, 估计误差
2 ^$ x/ H) j) y0 aError type I, 第一类错误
+ z# M/ g: k* t; p1 b- mError type II, 第二类错误
. c: ^: C+ k/ B# Q& ^7 z3 [Estimand, 被估量
" F' F5 ?3 j+ o& c* gEstimated error mean squares, 估计误差均方
2 |1 F2 e1 q: O6 ~% J) Q/ E( m' s; xEstimated error sum of squares, 估计误差平方和9 i9 Q! f) H) R8 j8 v9 T* ?% P; E
Euclidean distance, 欧式距离
- [$ l$ H* t# |0 j* E ^Event, 事件% ^; |: }& o) M7 ?& k! P1 G
Event, 事件; N Q+ m! e/ B C$ g; I5 u
Exceptional data point, 异常数据点- b* w1 i9 c: k. S
Expectation plane, 期望平面
& l: G, e& e6 H/ { |+ vExpectation surface, 期望曲面
( d5 M# z y3 g* YExpected values, 期望值; Y2 _ h! c* S% B- d
Experiment, 实验
$ i F3 n# t6 E5 Y* n) f9 D+ a& rExperimental sampling, 试验抽样' I4 P- n0 `5 K
Experimental unit, 试验单位
* L/ s s# T+ a r4 b6 wExplanatory variable, 说明变量
$ y# ?- ]( h$ nExploratory data analysis, 探索性数据分析
2 O5 h! O; ? y. f9 h) z4 @' NExplore Summarize, 探索-摘要* l. |6 m+ k$ W" a
Exponential curve, 指数曲线% b0 ?) ?8 k$ L" K5 z) ]% T
Exponential growth, 指数式增长* X1 D' B0 S! U5 u/ C, ^, x) C- x
EXSMOOTH, 指数平滑方法
3 n. W, n* A, G$ w& A6 m2 |Extended fit, 扩充拟合
[9 _; L- J1 u8 K) Z; o b- xExtra parameter, 附加参数; Q! l E$ m# I% F. }
Extrapolation, 外推法
+ a4 i1 ]- E* Y5 t: Z1 IExtreme observation, 末端观测值
9 y ?) t9 |8 [* t8 HExtremes, 极端值/极值3 @ `, B) o5 o) g6 i
F distribution, F分布' o0 h) z- c# y: R# g/ U/ R W
F test, F检验
4 s' I9 N7 Y1 u9 d- L2 D! qFactor, 因素/因子: V5 k5 a" g+ c7 B/ E" [0 g! E
Factor analysis, 因子分析
5 _! V7 ?$ d% W4 t4 WFactor Analysis, 因子分析, s" x1 c/ A' s( w! u
Factor score, 因子得分 ' i/ ?5 w$ s% R9 N Y8 _
Factorial, 阶乘
0 G) [3 K4 F, tFactorial design, 析因试验设计
- L' r9 ^) h7 m. ~0 N, \5 ^+ j2 LFalse negative, 假阴性- Y1 k2 D; G9 s6 ~8 {0 {, `! S3 E
False negative error, 假阴性错误
) F* o3 R8 C1 S1 l+ S# UFamily of distributions, 分布族& ]" E+ J3 B8 Z- x1 p U
Family of estimators, 估计量族% F U$ y2 R" x. B
Fanning, 扇面( [! p8 T; f; |& y" `
Fatality rate, 病死率
) K& L/ J% a# B/ O; n% UField investigation, 现场调查8 w' C% K! w: ]# ^
Field survey, 现场调查
" C) t$ q2 K1 s1 |" s. q6 S+ @Finite population, 有限总体
t! v$ |' C: _' ]Finite-sample, 有限样本: Y2 h1 [% l' z# o" l
First derivative, 一阶导数
3 ]) h8 ~" s" \4 G; w/ aFirst principal component, 第一主成分9 b e* ]" W9 |" O- V, k A
First quartile, 第一四分位数
' L4 ~( V% a4 V# H5 z( ], OFisher information, 费雪信息量
: \; N/ D/ ]4 w5 N3 b, i' JFitted value, 拟合值4 |/ D6 @/ f2 u4 K# a( h: \5 x; C
Fitting a curve, 曲线拟合! N1 ?( e4 k: i, i' G
Fixed base, 定基
O" s n! _, E @) ^Fluctuation, 随机起伏& i$ i! k9 G1 ]' |& j) F
Forecast, 预测* e7 F8 K9 f! M4 E! C+ H8 Z1 \" j% N
Four fold table, 四格表4 A9 N0 `/ O E2 {, O6 k2 `
Fourth, 四分点. W {4 w2 {# A9 W
Fraction blow, 左侧比率
. n: A: G8 W' a9 c4 ZFractional error, 相对误差
1 Y! V4 s9 t7 v! a; T5 KFrequency, 频率; J* |9 g& g6 Z1 C" N
Frequency polygon, 频数多边图
) L6 m* p- k3 Q* b1 ^! } VFrontier point, 界限点
+ x$ W1 r1 F4 zFunction relationship, 泛函关系3 ?7 { S! K7 x4 ]1 H( x
Gamma distribution, 伽玛分布
0 A6 Z# @7 P/ gGauss increment, 高斯增量, K( ]5 a9 g7 W6 e6 \1 ?; Q
Gaussian distribution, 高斯分布/正态分布- p9 I0 d' A9 F7 o& C9 n% g- \
Gauss-Newton increment, 高斯-牛顿增量% t, {. c" |2 f0 M" w# f! d
General census, 全面普查6 ~, E9 D9 M3 ~. t% o7 t
GENLOG (Generalized liner models), 广义线性模型
1 ~8 p8 }) B4 ^: ?1 ]8 ?Geometric mean, 几何平均数5 q* T0 Y. H, k* }* h
Gini's mean difference, 基尼均差6 i4 o9 w+ q$ `" z; D
GLM (General liner models), 一般线性模型 7 v8 m9 R' `; v' v0 C4 h3 {7 S5 ~
Goodness of fit, 拟和优度/配合度
+ ~" y/ n+ J! |, _4 u* U/ s5 K p1 SGradient of determinant, 行列式的梯度+ k Q' r& w6 p5 k7 R( R7 _; w$ [
Graeco-Latin square, 希腊拉丁方
$ R0 m0 u7 Y/ s+ i4 m% IGrand mean, 总均值
$ W+ n: B4 D/ @' E& g' jGross errors, 重大错误
/ |7 n+ B7 v4 f- |: aGross-error sensitivity, 大错敏感度- d4 l z8 k! h- I6 x+ ]# m
Group averages, 分组平均$ w4 ~; z/ y* Y/ p6 L
Grouped data, 分组资料
, V$ \5 E4 V( w# a8 q2 ]; UGuessed mean, 假定平均数
# S* ^, U" G: q9 ^Half-life, 半衰期$ k, F& A( d5 [* z! i, j$ X
Hampel M-estimators, 汉佩尔M估计量
# k. b- B. Z, d" v( f" U0 HHappenstance, 偶然事件# }' S( I& [1 M. `6 i9 d* l8 N8 s& j
Harmonic mean, 调和均数
8 A4 g" R# M3 C- l4 S* y( ~0 H' MHazard function, 风险均数$ O/ ]2 H* N8 [7 S0 A
Hazard rate, 风险率8 G: p% ^, P% U: \. o
Heading, 标目 & ~6 m/ a4 _# f' f, O3 q3 L
Heavy-tailed distribution, 重尾分布
( {' u: m; D! R/ r1 BHessian array, 海森立体阵
% x _) p5 a8 Z# QHeterogeneity, 不同质4 e0 C3 Q, \5 k7 o) L
Heterogeneity of variance, 方差不齐
4 V' x! S8 T" Z8 t& bHierarchical classification, 组内分组" S' n4 [4 m. ?6 C
Hierarchical clustering method, 系统聚类法
% h! t [* I4 K; h, D" YHigh-leverage point, 高杠杆率点8 G) G E- L. P, A
HILOGLINEAR, 多维列联表的层次对数线性模型" U. S- M m: \4 k* x7 C5 w( m
Hinge, 折叶点4 M/ e; E0 o1 x! I+ c+ S' ]% U
Histogram, 直方图
% {8 \, T+ n$ _' Y& c7 \Historical cohort study, 历史性队列研究
* l+ e$ I/ k5 v; s) z0 n5 H! YHoles, 空洞
' K: X9 t% R- l+ I3 wHOMALS, 多重响应分析
8 I8 P1 `: T; ~- I- A) EHomogeneity of variance, 方差齐性
8 @- C1 ]. ^1 ^Homogeneity test, 齐性检验$ h* ^0 ]# S; h5 D7 Z5 P K0 e
Huber M-estimators, 休伯M估计量
6 ]: q' ~' d3 i% |4 Q3 Q; ZHyperbola, 双曲线
' q) S4 [6 ]# Z b( I8 h5 m1 u7 t$ u" bHypothesis testing, 假设检验% f4 b/ E) ?3 L0 Z, B
Hypothetical universe, 假设总体2 c ?. G3 O8 ^2 r# A6 j E
Impossible event, 不可能事件
) V- H- ]" h! X+ s) q1 w3 WIndependence, 独立性4 @5 o! d8 n) L5 N) q2 W7 W
Independent variable, 自变量
9 K; w; N4 t- J7 U% o9 bIndex, 指标/指数
5 H2 |& I2 Y0 ^5 \$ ~* bIndirect standardization, 间接标准化法( `8 r2 T. f% ^# T- V! P
Individual, 个体' i% q* |& v# I- Y
Inference band, 推断带
! ~& ^' J& \% S M3 Z$ RInfinite population, 无限总体
1 M: l! B' u, s+ PInfinitely great, 无穷大1 l$ i0 K0 n2 L4 X
Infinitely small, 无穷小
8 G. x1 Y7 t) U: L3 k A/ b+ k6 IInfluence curve, 影响曲线2 D( F& F: \* {. z& }( ~
Information capacity, 信息容量! P* D& n4 i6 Q
Initial condition, 初始条件( t2 v1 M4 g% L& m% G+ ~$ G
Initial estimate, 初始估计值. [0 p$ L5 Q3 P* b2 T
Initial level, 最初水平
' O( w% o) Z+ E5 w) rInteraction, 交互作用2 E! O; ]' `, X" ]- n
Interaction terms, 交互作用项4 ]" f* N8 w/ h3 S% b; {
Intercept, 截距
$ W5 G; x3 r# ?Interpolation, 内插法
' H0 w {1 }, tInterquartile range, 四分位距" B4 n( O# `, b" |. W
Interval estimation, 区间估计
" w) f/ L6 t; }- m+ PIntervals of equal probability, 等概率区间/ n2 Z: w6 _ L. \3 b& p
Intrinsic curvature, 固有曲率 B7 I& Q% u4 h" ?" c
Invariance, 不变性/ E6 x/ S- U6 R6 {# O1 d" s
Inverse matrix, 逆矩阵
/ ~ b2 t8 O* K2 M# z9 Y9 a1 k5 aInverse probability, 逆概率* @% ^# ?; ~: w" |' Z
Inverse sine transformation, 反正弦变换
4 t7 R9 w) Q% IIteration, 迭代
1 F. r% z: a* q* uJacobian determinant, 雅可比行列式
& u- |8 z, Y- |( F" OJoint distribution function, 分布函数
A" X! g. b: M9 xJoint probability, 联合概率
" S& @. | K: r' P& V t; k! VJoint probability distribution, 联合概率分布: c. I) _6 x' x1 v5 P$ d8 H, u
K means method, 逐步聚类法
' z5 D) Y4 \: X7 Q7 z# L# FKaplan-Meier, 评估事件的时间长度
9 _: F x+ q* W0 qKaplan-Merier chart, Kaplan-Merier图' w& L' G- c( q$ v. p6 C* ~
Kendall's rank correlation, Kendall等级相关! x& {# F2 p) ]- K" y' ] L: N
Kinetic, 动力学
$ B& A! z' O( M1 d, B# g/ TKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
$ K5 ^! }5 r4 ?; V- tKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
' i r/ J6 S+ x$ E( W: O$ iKurtosis, 峰度
4 d; p u A D0 V6 S0 E/ hLack of fit, 失拟
4 b7 f) g0 H# X2 O: r z1 RLadder of powers, 幂阶梯
' y2 p( ~. { \; _ H7 YLag, 滞后
# {/ I9 B% X% F7 `. K& jLarge sample, 大样本- l" I! g8 t7 R' e# c; ?
Large sample test, 大样本检验
) q# i- z; H; G* y) [4 lLatin square, 拉丁方3 W5 Z; W" |4 A
Latin square design, 拉丁方设计
5 `* _) I. s% S G3 K3 D3 JLeakage, 泄漏6 ?2 ]$ H- b- C% o; K; V$ V, d0 Q
Least favorable configuration, 最不利构形
; g1 s- A% X/ ]Least favorable distribution, 最不利分布2 }( v0 J0 O: k _9 t0 ~* V: f
Least significant difference, 最小显著差法
1 \5 Y+ P+ D9 l* I8 oLeast square method, 最小二乘法- s& \7 @2 |7 V) P
Least-absolute-residuals estimates, 最小绝对残差估计% u2 Y$ F2 r+ W( r) L: B
Least-absolute-residuals fit, 最小绝对残差拟合
0 o+ @. N# L* b0 {0 c- ^6 v+ wLeast-absolute-residuals line, 最小绝对残差线3 t4 A J" A/ e! n' W
Legend, 图例3 P* u; K2 {8 \! _8 c
L-estimator, L估计量
2 Q! O; D$ B5 J, Z# nL-estimator of location, 位置L估计量
/ n- l+ e! j3 c" O1 xL-estimator of scale, 尺度L估计量
9 ]* S+ c$ G0 W/ eLevel, 水平
- r* \6 o! k% ]5 ]! E+ ]Life expectance, 预期期望寿命
# d- ^5 F/ M* i: X9 @4 @' n) y vLife table, 寿命表' q }, ~( Y z: J5 a
Life table method, 生命表法, T- V2 ^ D8 L
Light-tailed distribution, 轻尾分布% o& P5 S* X% i) t4 G+ j2 f
Likelihood function, 似然函数6 t9 ~' _% g" ]" K! l5 c
Likelihood ratio, 似然比* G, N5 W# T" S* }+ n, _0 z, p0 M- ^
line graph, 线图
" z; ^) b. k/ J r/ o" ]Linear correlation, 直线相关: w( a" i, _1 ~/ P; s! A
Linear equation, 线性方程
4 e* E6 E, Z' T: ?3 \3 D# wLinear programming, 线性规划
) D) O I o; S' ]* e0 D vLinear regression, 直线回归
) @/ G) @) A3 \" r X+ ]Linear Regression, 线性回归
# o. `0 I, t; S$ xLinear trend, 线性趋势
+ R/ C6 I m0 ? Z) ^9 g: W* O6 wLoading, 载荷
6 f( }- z( ?9 J( ILocation and scale equivariance, 位置尺度同变性( l J# X& E3 |$ J0 O& L( N' F
Location equivariance, 位置同变性5 Y/ J) ~2 m3 z# _' R
Location invariance, 位置不变性: `9 n$ l% O& U% ~5 _* \) P8 Q8 {
Location scale family, 位置尺度族
8 d b6 d: a; ] ALog rank test, 时序检验
( W5 t9 k# n) KLogarithmic curve, 对数曲线
5 D1 f) O. s( g; W: n/ ILogarithmic normal distribution, 对数正态分布
* V9 z1 t& @ S) |; y8 gLogarithmic scale, 对数尺度
6 k2 p- ]9 t, ]9 w" o ALogarithmic transformation, 对数变换
% ]2 [8 {8 @0 P/ W: x% v, wLogic check, 逻辑检查
! O9 N1 X' l6 e/ ~Logistic distribution, 逻辑斯特分布 D% W& p- O& [* \5 J
Logit transformation, Logit转换
3 p4 ^- U& B0 U8 P5 u6 @LOGLINEAR, 多维列联表通用模型
, k/ d; \; s; H! d2 uLognormal distribution, 对数正态分布
4 Q- c4 ^- G; @Lost function, 损失函数% o3 n, Y* \' i% [7 t* M
Low correlation, 低度相关
+ {7 p. j9 a1 p6 U/ M' }/ l$ OLower limit, 下限. a P% m! M0 f7 ]
Lowest-attained variance, 最小可达方差
/ F* m7 n1 D5 q6 m3 c9 S: tLSD, 最小显著差法的简称
7 m, k7 B' r6 Q1 w( n4 K0 yLurking variable, 潜在变量, E/ t: w: d4 N z* o
Main effect, 主效应/ J" B2 b2 i W) K
Major heading, 主辞标目# X' w7 Q3 T) y
Marginal density function, 边缘密度函数) t/ m/ ~) F8 W' b
Marginal probability, 边缘概率
' r$ j, ?5 r: T/ `Marginal probability distribution, 边缘概率分布
. B. V) {. k7 ^5 J" sMatched data, 配对资料6 R8 C5 J. f/ I _6 U/ F! y" l
Matched distribution, 匹配过分布5 \4 {0 J+ s( e- f, A0 t
Matching of distribution, 分布的匹配
_7 P& O6 H2 s6 yMatching of transformation, 变换的匹配8 M8 ~9 l: P Z
Mathematical expectation, 数学期望
1 h: e" @3 \! k$ O: b6 ]4 lMathematical model, 数学模型2 z5 J/ E! `, [. ~
Maximum L-estimator, 极大极小L 估计量
; _ u3 s1 \2 E" |- sMaximum likelihood method, 最大似然法) P: {& R. d' P" R# [+ I: d- @# T. W
Mean, 均数
+ z2 D! Q/ h# M4 TMean squares between groups, 组间均方
- N% T! u4 z3 [3 E7 s$ NMean squares within group, 组内均方
* T9 \/ _. D+ D, }* \( iMeans (Compare means), 均值-均值比较9 _. a1 ^, q0 o( S) H) y
Median, 中位数
?' ? f9 T+ U3 |Median effective dose, 半数效量
2 I" s1 _* z n7 z% M4 RMedian lethal dose, 半数致死量0 v- D, L# h9 d9 e8 g: U8 P$ G
Median polish, 中位数平滑
8 g& z2 P" [. |' U+ l3 ~/ xMedian test, 中位数检验: ~& P; r0 o: u7 c' X7 J2 E
Minimal sufficient statistic, 最小充分统计量" D+ f* L/ W: o8 H, ]
Minimum distance estimation, 最小距离估计
% L+ W0 \* b4 U8 }+ a/ `Minimum effective dose, 最小有效量
' `9 z) N# K5 mMinimum lethal dose, 最小致死量
6 C+ r* E" v& f) mMinimum variance estimator, 最小方差估计量
6 Y3 E( l) L+ {, J |: [/ yMINITAB, 统计软件包9 U! r- c0 p9 S5 f a
Minor heading, 宾词标目
! F* g, ~6 D1 R# TMissing data, 缺失值 d/ G3 J3 H0 |
Model specification, 模型的确定3 _( O- b& N/ A
Modeling Statistics , 模型统计
: n- R: T; _- F; K2 |- n+ g6 Q- K; fModels for outliers, 离群值模型
) A" l9 k: v( }2 QModifying the model, 模型的修正
# U; m* n9 @1 E' i) u3 ^4 t yModulus of continuity, 连续性模
% h+ `8 t3 n n) j) g ?Morbidity, 发病率 . [3 G# d* U# p
Most favorable configuration, 最有利构形 |" H, Q1 N: v' ^/ U2 K! b
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
, P) K F* V/ }Multinomial Logistic Regression , 多项逻辑斯蒂回归
& Z1 a3 ]1 F9 U! v. e- y3 N( b1 F) P( r, ~- ^Multiple comparison, 多重比较9 j( e9 S( P8 p) [- j6 W5 Y( H
Multiple correlation , 复相关' o, a8 c$ d5 o5 e( H/ u3 i% _
Multiple covariance, 多元协方差3 N. ^: S9 c1 |% n% ~- V' d
Multiple linear regression, 多元线性回归/ h5 j2 Q ~$ o/ o9 j) J; _% ^
Multiple response , 多重选项2 R. s) C5 T2 z5 |
Multiple solutions, 多解
+ ?' Z" ?0 n) R' A1 HMultiplication theorem, 乘法定理; C6 U9 F# @; q/ M. T! |
Multiresponse, 多元响应
6 x/ \6 ^! Z2 }9 G: gMulti-stage sampling, 多阶段抽样0 l6 d& F' }9 Y# R8 K
Multivariate T distribution, 多元T分布
6 I/ R4 ^3 f: z9 PMutual exclusive, 互不相容/ ]& ^* x% T0 E2 K
Mutual independence, 互相独立
& ]% J, G G6 h6 M: q0 J) Y5 M4 x$ gNatural boundary, 自然边界
% Y4 J1 a7 E! J6 WNatural dead, 自然死亡
3 d4 I2 d- R0 l3 V4 P1 [: d3 KNatural zero, 自然零
! a$ |, t* m/ f% rNegative correlation, 负相关
1 r( }# ?# t0 Z+ y/ C! tNegative linear correlation, 负线性相关
- c# m2 e/ V8 T. B; {& GNegatively skewed, 负偏
: H. y2 k5 C3 O! ` j% `: fNewman-Keuls method, q检验
) i6 l S3 k: X+ d/ h6 K% n* y p' mNK method, q检验 c( z+ z6 S4 O
No statistical significance, 无统计意义
/ `( k' M. [. W) L3 j4 c' QNominal variable, 名义变量
8 J( g+ U# c5 k( b1 eNonconstancy of variability, 变异的非定常性. ?* O. a' U0 y" `8 K* O4 ^0 y' P+ g
Nonlinear regression, 非线性相关
- I( q' V. j% sNonparametric statistics, 非参数统计6 ~; z( L5 `1 d5 a3 ~
Nonparametric test, 非参数检验" W4 I* k$ S% F" U
Nonparametric tests, 非参数检验$ Z7 R K6 C" F6 }; Z+ V" s) O4 d
Normal deviate, 正态离差
[7 ]3 j, I( ^, r# Q9 SNormal distribution, 正态分布. B7 Y5 n8 f* p
Normal equation, 正规方程组9 O; r6 W0 W4 i
Normal ranges, 正常范围
% E; w' R/ `2 [* ^* i+ G& T5 SNormal value, 正常值) Q6 a# \2 g" E
Nuisance parameter, 多余参数/讨厌参数
) f- E, d* v4 L3 cNull hypothesis, 无效假设
- `/ o7 I% F) w& G! c; C$ L& SNumerical variable, 数值变量
0 ?6 V) n1 o; z: ?* BObjective function, 目标函数
% k) q( z4 f7 CObservation unit, 观察单位
( P0 b- C: b0 O% E6 ]3 jObserved value, 观察值' e, v& {# o! u0 Z/ n
One sided test, 单侧检验, W1 N( C$ N* c' S( |5 C1 d
One-way analysis of variance, 单因素方差分析! H S( t- X9 q' ]
Oneway ANOVA , 单因素方差分析
8 D2 \1 W" v+ K8 |% E2 T2 AOpen sequential trial, 开放型序贯设计
* K2 }: P. E/ e$ A9 B: sOptrim, 优切尾
! j5 C, P. c1 t3 W8 s5 t% FOptrim efficiency, 优切尾效率
3 V, i' \2 i2 L$ B9 z1 ^+ xOrder statistics, 顺序统计量
5 y7 Y. e: y1 y5 S }, HOrdered categories, 有序分类6 U+ g2 q2 x u0 L2 W: g
Ordinal logistic regression , 序数逻辑斯蒂回归
, i! _5 z* z. Q; N$ S/ \8 eOrdinal variable, 有序变量9 x; h3 |. v: k) U
Orthogonal basis, 正交基7 b \& ~/ B3 W+ N( M9 J
Orthogonal design, 正交试验设计+ A5 ]! B( P, R: L4 N6 I
Orthogonality conditions, 正交条件
# F3 o3 m! P8 C4 {ORTHOPLAN, 正交设计 0 R+ ]9 Y. C r3 B( q
Outlier cutoffs, 离群值截断点$ L$ Y. T9 N% u0 X5 s4 q
Outliers, 极端值# d ?% V) {% \# G" |
OVERALS , 多组变量的非线性正规相关
n+ S+ @1 d* d5 r% ]Overshoot, 迭代过度5 e0 H+ _9 N3 k0 A
Paired design, 配对设计
2 w6 b; v. q; a2 X4 p# u' xPaired sample, 配对样本8 E" h [: f; W
Pairwise slopes, 成对斜率
3 c% D+ v' H9 d7 {. DParabola, 抛物线- }- {$ u! H' E" N
Parallel tests, 平行试验
/ a/ K- A3 n2 s4 U9 W, lParameter, 参数
9 }& ^1 ]+ C+ I2 _3 XParametric statistics, 参数统计# A3 P5 _- m; O, |% J6 @7 b) r
Parametric test, 参数检验
0 S' l' w: t- E" U- ^Partial correlation, 偏相关
" J! Y3 ^- G& r" o5 T' B' GPartial regression, 偏回归
0 \7 h" S8 s. a" @9 o/ r5 ePartial sorting, 偏排序' e: Y+ x- z! x- D/ c, N
Partials residuals, 偏残差1 V# R- O. J/ [* t3 }5 ]+ y3 J; `
Pattern, 模式
& S$ x5 `: m x8 p0 LPearson curves, 皮尔逊曲线8 X/ b# T8 ?- N S2 n, ?
Peeling, 退层6 h& l X" H- m
Percent bar graph, 百分条形图& z0 E# }4 o0 ^/ c6 X; S1 D* j
Percentage, 百分比! j* d' B! a* }4 `
Percentile, 百分位数# O* V l1 y9 E5 w
Percentile curves, 百分位曲线
8 [! o6 P+ p* ?7 j$ T. OPeriodicity, 周期性
+ w9 v4 w* O# S r* k1 C% hPermutation, 排列3 O! W& a- O# Y* }9 B
P-estimator, P估计量
( B6 K8 q4 G1 x) A" e5 b8 F; dPie graph, 饼图
- x1 A5 t o2 e+ r- k7 oPitman estimator, 皮特曼估计量
# m* v n O0 h E0 OPivot, 枢轴量" f4 J4 a6 W- q. x: [5 V
Planar, 平坦
7 i* E6 b$ b. }% D/ qPlanar assumption, 平面的假设+ Z/ @+ n# `; a1 j# H* @1 L
PLANCARDS, 生成试验的计划卡4 M4 M2 T9 o0 m9 P8 z l4 j
Point estimation, 点估计2 m# N5 p/ a5 c, Z
Poisson distribution, 泊松分布
; a) K% X u. Z0 TPolishing, 平滑
& \2 O( _5 ^5 h N8 YPolled standard deviation, 合并标准差
u9 G( j+ H9 z. _( o% E, R8 [Polled variance, 合并方差
7 q/ s( N! X- WPolygon, 多边图
3 s/ \' }9 l9 N! i9 N8 rPolynomial, 多项式
' P9 G5 D) r: r; t4 L3 nPolynomial curve, 多项式曲线6 {, o \; u" D
Population, 总体4 w8 {$ {) d3 b3 [- K
Population attributable risk, 人群归因危险度: J5 R) v% b( h3 b. h, I6 R8 ~, Q
Positive correlation, 正相关: c8 P. J; k' @# U
Positively skewed, 正偏
3 k3 N1 {' i6 u, n) OPosterior distribution, 后验分布
# b4 i) F! ?( Q3 F/ iPower of a test, 检验效能
+ z- B3 ]0 e, `- d; A2 n+ `Precision, 精密度) W, g. F! D! V; l
Predicted value, 预测值8 X2 c8 n8 T& y7 @
Preliminary analysis, 预备性分析% k! \3 Z! X9 A U
Principal component analysis, 主成分分析. t7 b T7 V C) T
Prior distribution, 先验分布
& V- v. Z1 {2 \% E6 z6 j0 T. X. \Prior probability, 先验概率" K0 J8 j. y8 d( b. p- J9 M; j; `
Probabilistic model, 概率模型
8 ]4 ~7 R6 X3 ^- I1 Uprobability, 概率: w: z# g6 \0 p
Probability density, 概率密度! s# O$ u* I4 F- `) r& X: q
Product moment, 乘积矩/协方差
' T r q) ]4 v8 g) PProfile trace, 截面迹图
/ ]( z5 p% K$ x6 m3 t6 ^1 ~Proportion, 比/构成比7 ]6 T1 M) ~; i
Proportion allocation in stratified random sampling, 按比例分层随机抽样% ^7 k2 u# W% A( I: S5 |
Proportionate, 成比例
3 o5 p3 Z Z3 Y& p! E. xProportionate sub-class numbers, 成比例次级组含量
% T5 X* D0 O5 r7 lProspective study, 前瞻性调查
" j, C( _9 h- h8 S) U5 yProximities, 亲近性
( |. P* J( d8 n: O8 d4 B" |2 BPseudo F test, 近似F检验
+ y2 `/ g l" B6 B* o6 o, LPseudo model, 近似模型( `( X0 v* B% Q) v% W9 c
Pseudosigma, 伪标准差: Y# Z. a+ U3 R) a& C. Z8 O G
Purposive sampling, 有目的抽样
- l% Q6 Z& y3 h* @( r kQR decomposition, QR分解
; {0 t4 `$ V2 G) V" w* ?Quadratic approximation, 二次近似
: X( l- R+ }! O' k; f4 q) MQualitative classification, 属性分类
$ m0 T" e1 {" y, _Qualitative method, 定性方法
+ G+ u. a+ F2 ^( Z1 ~' yQuantile-quantile plot, 分位数-分位数图/Q-Q图/ F* d, S6 R0 o
Quantitative analysis, 定量分析
( f+ V, G2 J1 {6 i0 w$ F. `5 P+ y2 LQuartile, 四分位数. u1 m( Q ]7 |
Quick Cluster, 快速聚类7 N1 w, @$ D F3 H+ X: H& B# I0 H) U
Radix sort, 基数排序$ w9 U2 w6 v4 w" w
Random allocation, 随机化分组( v# `* s1 ?& D4 \+ q
Random blocks design, 随机区组设计
! R$ L2 M2 [# BRandom event, 随机事件2 F8 L# i' L* G8 ]5 y
Randomization, 随机化; a5 b; F" @3 Z% B# O
Range, 极差/全距
6 _) P4 |4 I/ J! R1 w9 s& K+ mRank correlation, 等级相关
: K" r# D3 |) R- JRank sum test, 秩和检验
6 v" k0 a2 X( g" s# P: s$ B3 bRank test, 秩检验. y. j# P" o1 o" W" _4 s" @
Ranked data, 等级资料! Q$ I- r4 q0 L' {/ q3 x- g
Rate, 比率
( K( p/ s; z2 Q8 U* d% r2 \. sRatio, 比例
+ u- L# M3 o) a" @) y z+ ARaw data, 原始资料
+ j9 {; s2 A5 T# Z& fRaw residual, 原始残差5 k! m7 B" \8 j* [4 m
Rayleigh's test, 雷氏检验8 g% a3 t' H& p( U& G
Rayleigh's Z, 雷氏Z值 ( S, v6 g+ O4 J, @; k/ }/ h' o# N
Reciprocal, 倒数
0 M/ T l# ]( z YReciprocal transformation, 倒数变换
* q# k4 ]* a- G* [Recording, 记录% @. G* h0 g: ` e4 D
Redescending estimators, 回降估计量+ Y( `# K: }1 ~5 x' p
Reducing dimensions, 降维( j2 X; a3 [$ a& x' w3 r: f
Re-expression, 重新表达2 W1 K& M# k# Z4 q ~) `
Reference set, 标准组
, K! a! ?# g: DRegion of acceptance, 接受域
: f A; K8 \0 A. U URegression coefficient, 回归系数
" b& p. ~# o" `) tRegression sum of square, 回归平方和
7 R1 w, Z0 a3 A- [* }Rejection point, 拒绝点) p; h' a; @! j( p3 M
Relative dispersion, 相对离散度
6 c! G+ a6 f$ {& c2 aRelative number, 相对数$ n4 s% f" c- T
Reliability, 可靠性3 |4 Q; y0 F5 r) l/ }
Reparametrization, 重新设置参数
+ L* N' C1 ]3 n1 XReplication, 重复
. P9 \+ g9 Y& \+ h$ ?% ?. UReport Summaries, 报告摘要2 c' |4 D4 ^9 c3 A7 ^5 g4 q
Residual sum of square, 剩余平方和% U1 C/ s1 v2 C$ L( v1 T# s
Resistance, 耐抗性9 z% ?- |0 a A. o) }, N
Resistant line, 耐抗线4 P5 u% g2 X1 c) R+ o
Resistant technique, 耐抗技术
5 A7 `7 ?& v' ^; s# JR-estimator of location, 位置R估计量
$ Y% N# c O9 E- R* G4 l7 GR-estimator of scale, 尺度R估计量
, U' o7 M6 O0 MRetrospective study, 回顾性调查
, @; Q4 s6 w7 o @Ridge trace, 岭迹. A- _# N4 z% o9 k' j/ y
Ridit analysis, Ridit分析
6 `/ f0 ^- @4 C# n; @9 l0 mRotation, 旋转4 c: P9 e% P7 F
Rounding, 舍入
, t* r; p2 @/ k/ K1 LRow, 行
F$ p# Z' ~3 a& ^0 [0 r- N6 KRow effects, 行效应
8 p: _% }* a E$ d3 KRow factor, 行因素3 ]2 u/ M1 }! n! w) S) f# V; c6 b0 P
RXC table, RXC表
' L) Q2 ?2 x7 }2 q( H3 F l3 H+ fSample, 样本0 P; p0 z( \2 a$ x3 S8 l V0 H0 M9 w
Sample regression coefficient, 样本回归系数4 Z* i' N8 V& _- i9 O/ {5 K( m
Sample size, 样本量2 S: z* p4 P7 ?! F/ J( y9 Y
Sample standard deviation, 样本标准差: [! ]- |! a2 E9 V: W* ?
Sampling error, 抽样误差1 u: R0 M5 K! L& {; A0 P" y5 v
SAS(Statistical analysis system ), SAS统计软件包
* q7 {: {+ `5 c% W7 _9 mScale, 尺度/量表
2 T+ f" j2 f+ DScatter diagram, 散点图. A, x; T: T" i9 X
Schematic plot, 示意图/简图/ d/ i$ U5 q* o/ ]4 u6 y$ G6 o
Score test, 计分检验
# F3 o! D* p2 xScreening, 筛检
2 k0 n) v" M P. [" C3 P& s; KSEASON, 季节分析
: o6 D0 R- ?8 k' f. s3 YSecond derivative, 二阶导数: ]; v: h/ x" z6 Y; X
Second principal component, 第二主成分: o) _ b9 X0 ^* W/ \
SEM (Structural equation modeling), 结构化方程模型 , m3 I3 j& u0 v. e' [) ^
Semi-logarithmic graph, 半对数图
1 g' i6 I. g5 p7 t9 g& xSemi-logarithmic paper, 半对数格纸
_. B% T( m$ x' R4 }& V( VSensitivity curve, 敏感度曲线
( |# \& u' N- g/ o8 lSequential analysis, 贯序分析0 N; l9 `4 o5 ^/ G4 d5 G/ H" I' N
Sequential data set, 顺序数据集
1 M7 q0 h' u( S# r5 hSequential design, 贯序设计
8 o, j9 H6 D5 S6 B. FSequential method, 贯序法
1 R& S# T/ y8 c2 ?- pSequential test, 贯序检验法- K' Z, g9 I) O* L7 d% Q
Serial tests, 系列试验
5 s, K( ^+ b9 i$ k! g; T3 l/ DShort-cut method, 简捷法
! i' f. y4 k+ [- E' X7 zSigmoid curve, S形曲线 b: R# L: w, g# y
Sign function, 正负号函数7 c9 ~+ z* l# W- h" ` b& R3 x
Sign test, 符号检验
4 `, N) \* N3 v" F6 j. BSigned rank, 符号秩! L, K { H" J
Significance test, 显著性检验3 G8 r' K5 N- B7 u
Significant figure, 有效数字
" v E! Q5 I# a: @5 f# @- QSimple cluster sampling, 简单整群抽样
) B9 y& K( r# F" }: ?' Q( ?" VSimple correlation, 简单相关
@$ ^3 B; k% @7 l) d) mSimple random sampling, 简单随机抽样% @" X- m- `" r# w* h
Simple regression, 简单回归$ e6 T3 j3 j0 v; j
simple table, 简单表
- e$ H' h8 n! Y+ K, d1 t& u1 [Sine estimator, 正弦估计量$ a1 a0 M/ E% }
Single-valued estimate, 单值估计
: I- I1 d2 ]) {# {! SSingular matrix, 奇异矩阵$ ]6 r( M4 P* I( l6 Y
Skewed distribution, 偏斜分布! E" ~( F1 u- [
Skewness, 偏度
+ {0 H& a) ]* l5 z7 L( S4 u& ISlash distribution, 斜线分布0 q6 s: B- Z1 A
Slope, 斜率
+ [& q6 R& E% eSmirnov test, 斯米尔诺夫检验
( f1 b5 I7 |5 m1 M# h; j- }5 sSource of variation, 变异来源
. [* k! j4 F+ @ v; u8 hSpearman rank correlation, 斯皮尔曼等级相关
. C. w3 U4 d _: ~, e# BSpecific factor, 特殊因子
) R# l! [: K: x9 XSpecific factor variance, 特殊因子方差
* I8 @% ~, `/ Z2 E% Q! t+ A5 hSpectra , 频谱
4 J; l3 r0 I. S. S- A2 u7 C4 {* U/ BSpherical distribution, 球型正态分布5 b6 b3 h( r: r( F/ T6 d: O7 T+ k |/ ^" v
Spread, 展布& ? u4 w, w- L
SPSS(Statistical package for the social science), SPSS统计软件包
0 h1 \; }+ U) I: A3 _$ SSpurious correlation, 假性相关- R( A* O3 N Q
Square root transformation, 平方根变换+ O* h r, [5 a* z( V; u+ K
Stabilizing variance, 稳定方差1 C1 @2 u- z: G
Standard deviation, 标准差
4 h8 k W. ]# I+ ?$ kStandard error, 标准误) F" s& \; e& f, m- g3 D1 K
Standard error of difference, 差别的标准误 C) D+ P: ~; c
Standard error of estimate, 标准估计误差
4 s: }: s# ?& K! C- @; ?; L p/ eStandard error of rate, 率的标准误7 }, M( T9 r- C* K. ?
Standard normal distribution, 标准正态分布
1 r* r+ J/ E& s1 a5 c5 i; |Standardization, 标准化
! m" Q: z4 s! f: ~. L& f1 b8 gStarting value, 起始值
5 S7 T" X% z) b$ eStatistic, 统计量7 C, }% w6 G4 H
Statistical control, 统计控制
, ^! ]5 r+ V7 X+ eStatistical graph, 统计图1 w$ y. v v7 T" h5 D! w
Statistical inference, 统计推断
' l: G1 X( W- |- ~& ? pStatistical table, 统计表
0 a% y; [ ]. o( iSteepest descent, 最速下降法1 ]: `6 T3 Z1 ]1 ]3 q6 L
Stem and leaf display, 茎叶图$ w+ A F" h2 E7 ~' H; N
Step factor, 步长因子# E- p: \) Q7 p3 j) W2 J
Stepwise regression, 逐步回归
/ V9 J" c5 |- Y! L9 x( ZStorage, 存
; K4 h3 o% `% J$ @1 I& k. B: aStrata, 层（复数）% t/ F7 F( I. Y2 ~9 m% r
Stratified sampling, 分层抽样8 C4 q* l. i9 n! S7 U: L
Stratified sampling, 分层抽样) C @, w- M) I
Strength, 强度
; _" s0 t$ Y9 B! A) |- v0 EStringency, 严密性1 ?) h& F4 W& \) a/ B$ l* D) i
Structural relationship, 结构关系, d" b. d7 E. W" V$ a. o9 W
Studentized residual, 学生化残差/t化残差
; O5 c+ p2 i$ r% O7 M# {7 M: tSub-class numbers, 次级组含量! \! g$ F" r# d/ B% H
Subdividing, 分割1 p8 s$ I. W2 H+ H7 ?- i- y+ n( u1 [
Sufficient statistic, 充分统计量1 G) x* |+ o; ? ?# V7 b+ @4 a
Sum of products, 积和, J1 m$ d# a: G! s" H! F) {4 W% B
Sum of squares, 离差平方和
2 k; J$ h" K8 F4 vSum of squares about regression, 回归平方和- q, V+ S, a6 E5 j* [; ]3 S
Sum of squares between groups, 组间平方和
# E6 |2 Z. s" z; N& b/ o/ OSum of squares of partial regression, 偏回归平方和# D' t* t# }. o) @
Sure event, 必然事件( K+ ~. e3 {) Y4 g8 |
Survey, 调查
% S9 G, F0 f' h9 @/ B$ [# a3 i& PSurvival, 生存分析
# M, ?* I; `' C1 QSurvival rate, 生存率
+ j: H8 g' g! T2 T7 {% U' L* kSuspended root gram, 悬吊根图
* }: u. M7 \9 hSymmetry, 对称
: O( U% ?6 e1 Q( DSystematic error, 系统误差
6 ~" _. K4 h% l. Q4 ZSystematic sampling, 系统抽样
1 H7 I9 d1 o- r+ V pTags, 标签
$ x. a" O/ R6 f0 G- oTail area, 尾部面积
7 A& X+ w) q( O# H. OTail length, 尾长4 d% U- y# \' _: ^ V
Tail weight, 尾重
; {1 s. O/ q+ D- h& _Tangent line, 切线4 I( X/ z: l7 x/ ]
Target distribution, 目标分布1 H# C2 |; T+ ~, M& d* k. y3 S9 `
Taylor series, 泰勒级数/ [) K/ k$ ?3 C9 X4 V5 q
Tendency of dispersion, 离散趋势
4 k4 F. C( G2 ~% K/ gTesting of hypotheses, 假设检验
: M- s6 Z5 ^ |" }$ k, S# rTheoretical frequency, 理论频数2 C3 ~* z& ~% T
Time series, 时间序列5 y8 h. v% m E" _4 R
Tolerance interval, 容忍区间
+ L+ b* X- m* s# T) ?. C4 K9 q3 gTolerance lower limit, 容忍下限2 w# Z" F/ t6 B* T( U$ @* d
Tolerance upper limit, 容忍上限
& O4 @ v2 f9 X8 wTorsion, 扰率
2 D1 y4 i. K( PTotal sum of square, 总平方和
; j7 U$ x: R1 K0 L2 X: [% M1 A! n! v8 \. [Total variation, 总变异
1 x6 ^. ]0 u& e- L% k7 M1 G" {" w+ vTransformation, 转换; J) b/ {" @% K( S1 V
Treatment, 处理# g+ Q: [( k. m# o* k! e
Trend, 趋势* V p6 p* x7 h8 ^ z; d7 u5 U6 j
Trend of percentage, 百分比趋势
: P* k& a! [. C2 hTrial, 试验
1 R* E. `# f5 VTrial and error method, 试错法
" [/ ?3 I9 _/ Q" CTuning constant, 细调常数
! V" ^+ g. F o5 s' Q# vTwo sided test, 双向检验5 I9 V2 Y+ d% r, x
Two-stage least squares, 二阶最小平方
& H) g1 c5 s' x4 O" g. NTwo-stage sampling, 二阶段抽样' M. }* ~# A _4 V3 _ H4 H7 [
Two-tailed test, 双侧检验. w. t4 X3 i$ f) M) e: a
Two-way analysis of variance, 双因素方差分析- V9 o3 t" J7 ]
Two-way table, 双向表& k* G; b: ~% r5 ?" C
Type I error, 一类错误/α错误' ?3 i0 @& o a
Type II error, 二类错误/β错误1 _9 d2 K/ E3 s/ j3 z. F. f9 W
UMVU, 方差一致最小无偏估计简称" {* l. N" h1 {. d1 a+ ] @/ G
Unbiased estimate, 无偏估计
, i. ]. B4 W" O8 P" v) y% lUnconstrained nonlinear regression , 无约束非线性回归6 R7 U6 Z+ [3 q2 _
Unequal subclass number, 不等次级组含量
9 p0 Q( N, p ~8 G; L5 E9 CUngrouped data, 不分组资料5 s3 f, \- v2 \- h1 E* i$ }
Uniform coordinate, 均匀坐标
% k' K% P1 y, J7 z: b; C8 X% UUniform distribution, 均匀分布0 c0 }9 J7 t# T5 X- Q' F
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计3 `5 I7 C9 Q* @3 j! ]$ a8 L
Unit, 单元
, L" C- J) `0 U2 Z# r. N' w- ~Unordered categories, 无序分类
7 S. L+ |1 V3 I, ?( N( U& wUpper limit, 上限1 R% U' F" ~' j5 @
Upward rank, 升秩
" m2 @6 E8 O1 m4 lVague concept, 模糊概念
5 c3 z# @8 H, u {Validity, 有效性
* _) y1 ^. s% {5 WVARCOMP (Variance component estimation), 方差元素估计( A# t6 y" S4 N7 ~7 Q6 i3 h& D4 M1 ^
Variability, 变异性8 X2 I& l; W. g# J n. s" I9 ^
Variable, 变量2 L# j8 A+ z) n g# K! W, }) g9 s* p
Variance, 方差
# p( j: Y; s4 l; L' H$ @% ^Variation, 变异$ C6 B; `5 W2 u! e9 D5 ^6 p! M* k* y
Varimax orthogonal rotation, 方差最大正交旋转
- W4 l# d( ]( T: |8 P* H* K2 OVolume of distribution, 容积1 s n& m7 g2 ?0 E
W test, W检验
5 j2 o |: w( B* vWeibull distribution, 威布尔分布! ^% y; s6 T, j- Y
Weight, 权数
: z( R0 r* n4 m4 H- I5 [Weighted Chi-square test, 加权卡方检验/Cochran检验! x* t L0 J$ {# H+ |9 C
Weighted linear regression method, 加权直线回归
0 o; r- g8 a' r4 |8 p; iWeighted mean, 加权平均数
4 u* x1 w1 H( @' q( {6 h: RWeighted mean square, 加权平均方差
; K9 }$ @5 J: l" y y5 oWeighted sum of square, 加权平方和
) Z) Y$ V! u8 c8 W/ n" @1 QWeighting coefficient, 权重系数3 t* _3 o- u$ r6 u
Weighting method, 加权法 0 {# Z' g# L9 \! t) Y7 z' o
W-estimation, W估计量
% |+ A( H, P6 |1 b" A; ~, VW-estimation of location, 位置W估计量
$ E# Y7 \4 u. hWidth, 宽度# M3 |2 y/ a2 }8 t
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
5 R$ s5 k0 a. ^' Z5 [5 N$ yWild point, 野点/狂点1 h; z& w+ D& e. Y5 p7 Z' t" Q
Wild value, 野值/狂值
; M/ w; l K9 I4 S, tWinsorized mean, 缩尾均值( N& q8 ~; u7 M6 S0 p8 o
Withdraw, 失访 `' v: C$ t% L! u3 J- [/ L7 i9 z
Youden's index, 尤登指数* x+ j8 v, i1 D0 t/ ?" [- o: _
Z test, Z检验0 H0 E6 _- Z7 M/ ~
Zero correlation, 零相关" R: w4 z! X! [, e
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
