|
|
Absolute deviation, 绝对离差7 ]( O- U( K6 u5 l& P {/ b- ~/ ?" j) W
Absolute number, 绝对数6 y7 x2 B: o9 A+ C$ c. v- N6 t- b
Absolute residuals, 绝对残差
* r: H3 U1 q6 |# c) X' X+ Z) s+ U& OAcceleration array, 加速度立体阵
( K* k/ I) e* |0 DAcceleration in an arbitrary direction, 任意方向上的加速度' \) x1 b6 o! F5 C$ c/ L$ N
Acceleration normal, 法向加速度
( K$ }. ?& X1 p2 F$ _# [! tAcceleration space dimension, 加速度空间的维数. q; R5 o7 Y/ }( I. P! O
Acceleration tangential, 切向加速度
. z$ \$ ]: {5 D9 y) j5 [: \3 z3 {Acceleration vector, 加速度向量 A7 T6 U/ G8 P9 n' E
Acceptable hypothesis, 可接受假设7 \( ]7 [" T5 _# B- H6 U5 C
Accumulation, 累积6 f. D Q6 ]) J8 x8 e( w* J
Accuracy, 准确度% K' \! k3 {2 w% t( K1 g
Actual frequency, 实际频数
2 |8 D5 Z1 ?& H$ g9 lAdaptive estimator, 自适应估计量
: L& C) r( E% A+ @3 y5 k( J( yAddition, 相加8 B. v! ?" h. E( S6 E0 O
Addition theorem, 加法定理
4 n0 r' ^) {. u/ E8 W/ a k IAdditivity, 可加性
5 v4 I" K7 N3 V$ b; \- g9 {$ RAdjusted rate, 调整率
6 N4 Z! c& E- g' cAdjusted value, 校正值+ ^) L" q+ P0 R2 j, M6 W" D
Admissible error, 容许误差
5 R5 }/ @+ d UAggregation, 聚集性9 `* l; ^% A. k5 T, n8 C
Alternative hypothesis, 备择假设- \3 w2 R* G S7 `4 K
Among groups, 组间
7 u8 |: |/ D7 o3 CAmounts, 总量3 H4 @7 d: r5 G
Analysis of correlation, 相关分析& c) _4 j$ f8 b9 m
Analysis of covariance, 协方差分析! n6 i% ~+ c+ U% C
Analysis of regression, 回归分析
& V" a2 L4 m1 H/ @. e9 Y+ eAnalysis of time series, 时间序列分析6 H5 x# P7 |6 Q0 u5 y( S
Analysis of variance, 方差分析( U; k4 O# h) p' r
Angular transformation, 角转换 a) [$ v% |3 I
ANOVA （analysis of variance）, 方差分析
: |" y" | h/ o9 J& m+ C( P. ^5 Z3 x% D3 rANOVA Models, 方差分析模型
& {' ~, c6 T8 @+ M5 eArcing, 弧/弧旋0 N0 k8 }5 K4 U4 b5 [
Arcsine transformation, 反正弦变换! e9 z0 I) q3 g: ^
Area under the curve, 曲线面积0 n/ \+ y0 T: j# X2 I) g) n
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 9 z$ \- z1 o& `, N2 ~% y* V
ARIMA, 季节和非季节性单变量模型的极大似然估计 & b% A4 i: C& G$ }, s3 Z& c
Arithmetic grid paper, 算术格纸
: `( V/ i9 I% I. m4 f$ y; LArithmetic mean, 算术平均数
+ L7 x+ J% i8 f9 N% dArrhenius relation, 艾恩尼斯关系
' P+ j( N( h3 A i, C; O5 g9 _. mAssessing fit, 拟合的评估
: v* T$ q! u$ I' hAssociative laws, 结合律
- M. T: A/ [1 j$ eAsymmetric distribution, 非对称分布
* V& ]! f. C" Q Y" ~& R( JAsymptotic bias, 渐近偏倚$ R, [& I, _: h, {2 x
Asymptotic efficiency, 渐近效率
$ z' b- Z, o& d& O1 d$ N$ C4 QAsymptotic variance, 渐近方差( _) U! Q- S) f% b% W/ J: _1 e
Attributable risk, 归因危险度) e# M9 f8 V, V7 l4 L
Attribute data, 属性资料% @, p2 k. H b9 I) n$ l1 w
Attribution, 属性% Y. s' i- e4 c
Autocorrelation, 自相关& w7 g Z8 w. ^( {, A( p( \
Autocorrelation of residuals, 残差的自相关5 }3 Y( J+ _% N# Z& v
Average, 平均数
" h0 u5 d& M) w/ |& k, c; ZAverage confidence interval length, 平均置信区间长度4 N: [0 G* s3 `' h+ N
Average growth rate, 平均增长率
/ ^+ w( _- n$ u! C! f' y& ~Bar chart, 条形图
$ W5 ~. e6 x. C) _" {5 EBar graph, 条形图0 P! E' q& p2 _/ \9 X
Base period, 基期- {( h* r; J4 T5 o7 r t( i
Bayes' theorem , Bayes定理
) ^" ^9 O ^1 dBell-shaped curve, 钟形曲线
+ g- V' h* ^5 u! o* E! |- ?Bernoulli distribution, 伯努力分布
. L- E% u6 q3 k7 `) YBest-trim estimator, 最好切尾估计量+ G3 V9 [. j; m
Bias, 偏性3 i- u" S( F# h; r# u
Binary logistic regression, 二元逻辑斯蒂回归7 T0 U8 g5 M% x+ q
Binomial distribution, 二项分布9 H7 i2 }* z, N
Bisquare, 双平方
" m9 [; F8 n4 LBivariate Correlate, 二变量相关/ V- _* b$ j6 q; z' w6 R4 s
Bivariate normal distribution, 双变量正态分布
: f* D2 {, W0 f9 J" P* J" rBivariate normal population, 双变量正态总体 ^- u; z$ k4 @' n* c6 L
Biweight interval, 双权区间+ R& w, X, D( o5 _9 J
Biweight M-estimator, 双权M估计量
+ Q& ^& f6 L2 a( U0 ]+ `& N1 IBlock, 区组/配伍组# ^) U( d' L) r6 ^& N7 a: ]0 n
BMDP(Biomedical computer programs), BMDP统计软件包7 B5 [6 _& ^: U8 x5 K
Boxplots, 箱线图/箱尾图
" e. z$ c, Y k5 |Breakdown bound, 崩溃界/崩溃点# S" p( k' [$ g. g6 w9 \. s
Canonical correlation, 典型相关
, ?; u' e$ r7 y" J7 a Q FCaption, 纵标目
1 g; \5 O- z6 y6 S" h+ e1 NCase-control study, 病例对照研究
\9 G6 M/ E- hCategorical variable, 分类变量
3 [' G9 x+ \6 ^% }4 M" M# Q. PCatenary, 悬链线
6 G k* R [! t4 kCauchy distribution, 柯西分布
, G: E6 d' R/ ~" U$ ECause-and-effect relationship, 因果关系" N/ i7 Q( |6 V. v& \
Cell, 单元
5 V0 Y) Y* c4 g" F6 g3 TCensoring, 终检3 P! L. @2 Z) D# A9 m- _. ~
Center of symmetry, 对称中心
) X% j0 h. u& i1 n; iCentering and scaling, 中心化和定标
/ ?# C, ]* [. Z9 |6 K5 Y0 tCentral tendency, 集中趋势
: ?6 O* j' {4 T aCentral value, 中心值
7 P0 J8 u) j% g' ~" `5 b* ~. JCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
: T4 i5 n k7 o1 ^( L! bChance, 机遇& [0 b) V5 n2 \/ Y. w
Chance error, 随机误差
. D0 t! J5 c' o4 P0 r/ A$ qChance variable, 随机变量# a2 ^! v" W4 G
Characteristic equation, 特征方程
/ e8 V2 o1 S; D( dCharacteristic root, 特征根) x0 S/ L6 F9 K* Q7 g+ o
Characteristic vector, 特征向量' ]0 c" A8 f3 D9 w. a+ \7 a4 w f
Chebshev criterion of fit, 拟合的切比雪夫准则
. Q( b. [% F7 K* U7 y. WChernoff faces, 切尔诺夫脸谱图* r# w, b. D2 J" i
Chi-square test, 卡方检验/χ2检验" ]7 X/ K* s! s% V) U$ H0 S3 z" _, y0 K
Choleskey decomposition, 乔洛斯基分解
/ y3 @8 I# o. S% y/ uCircle chart, 圆图 ! r- U; `5 D- ~* B5 X& t9 [
Class interval, 组距
' c$ C; X% G6 K+ |1 d2 P! s4 IClass mid-value, 组中值9 [0 v K! M% h) _4 G
Class upper limit, 组上限
. P4 i: s9 Q3 f$ AClassified variable, 分类变量7 z2 p% o4 ]% P! w! w
Cluster analysis, 聚类分析0 H9 h. j; }7 j) Q
Cluster sampling, 整群抽样
# B1 g/ Q$ k3 ZCode, 代码
) a" O& x* k1 k; `+ N' c6 k9 p" ]Coded data, 编码数据5 W, N \' b8 a
Coding, 编码. y" T" j | _% k6 Q
Coefficient of contingency, 列联系数
9 A. c7 o; X- y. J M2 T) g0 ^2 [Coefficient of determination, 决定系数" m- n$ Q; I8 ]0 V2 {
Coefficient of multiple correlation, 多重相关系数$ }3 {8 h, k3 q/ t4 x) @$ D2 L
Coefficient of partial correlation, 偏相关系数
. @! w* {, z. G' X" GCoefficient of production-moment correlation, 积差相关系数
# `+ j+ `/ z, C' Y. g0 ]Coefficient of rank correlation, 等级相关系数: A1 u1 W& Q5 h# M
Coefficient of regression, 回归系数
+ B8 d' h/ S8 R- R3 g8 F \Coefficient of skewness, 偏度系数7 F( x! H. V3 ]& V9 y. M, F
Coefficient of variation, 变异系数
( m/ \4 K" f2 R8 @. {! V+ eCohort study, 队列研究4 D) Z C. C, G2 z0 W
Column, 列. D8 _1 W+ b1 h) h
Column effect, 列效应8 M9 n2 P6 r f+ i
Column factor, 列因素
) Z: A8 F; F7 t+ W; l( PCombination pool, 合并8 n# f: y) N: a; @' k2 E3 W% h. k' x
Combinative table, 组合表
$ _: R. f: {5 F6 aCommon factor, 共性因子
$ [ T2 H4 T: \, h5 ?Common regression coefficient, 公共回归系数* @5 d+ t" F; s& U4 U+ b; C. M
Common value, 共同值
& w s4 E* m4 W" `( r7 i% \4 yCommon variance, 公共方差
+ _ a8 d2 f: B' }0 ]Common variation, 公共变异
. ~) x9 P O/ L7 _6 y9 R+ _Communality variance, 共性方差' E% s! A1 }2 j: A
Comparability, 可比性
9 ]1 o0 a+ m1 j/ F, a1 m" BComparison of bathes, 批比较% r# O6 c1 B$ C; n( u6 H- P$ ]; U
Comparison value, 比较值* |2 G6 w2 A1 y, l' i8 Y
Compartment model, 分部模型
4 O+ a6 K/ e5 h4 dCompassion, 伸缩4 |9 r/ u& {9 ^0 T
Complement of an event, 补事件
`* ^7 @6 P. ^- S1 JComplete association, 完全正相关6 H9 _/ W2 V+ z4 v3 k5 z& s
Complete dissociation, 完全不相关7 V( M1 N4 o0 Z2 g4 Z
Complete statistics, 完备统计量
( q4 }2 L0 J: L' G+ n+ ^% L5 x2 ICompletely randomized design, 完全随机化设计9 f" S8 z; F$ m1 v) @
Composite event, 联合事件& x* v. R: ?+ s+ U& k( E
Composite events, 复合事件' l2 M' m z8 ~+ V- U& f" H
Concavity, 凹性
8 W0 a* d' z3 |" l$ RConditional expectation, 条件期望
I7 `9 [, M3 D1 |Conditional likelihood, 条件似然
9 `; r' s, y7 A8 D, QConditional probability, 条件概率
4 D' L! U; C V5 G# }1 c0 MConditionally linear, 依条件线性/ q2 T0 ]. ?! b" s8 `
Confidence interval, 置信区间4 T; l4 K+ a w+ i5 d
Confidence limit, 置信限
0 G; R2 n3 n/ r' uConfidence lower limit, 置信下限
# R. q- A, t3 p" LConfidence upper limit, 置信上限5 r5 P+ e) X) a. u1 Z
Confirmatory Factor Analysis , 验证性因子分析4 h+ b" x# m+ l5 k8 x' N; p
Confirmatory research, 证实性实验研究$ k6 I9 R8 J5 C
Confounding factor, 混杂因素
% @1 _# [, |5 E2 J# HConjoint, 联合分析% v$ |" s3 c6 B! Q) l% u1 P
Consistency, 相合性
8 H; i* J5 k7 Q9 s& @) J# uConsistency check, 一致性检验
& H7 L# H, W3 ^! c% x8 O6 _Consistent asymptotically normal estimate, 相合渐近正态估计8 O& }! u) B4 ~+ p2 C$ D! s2 |
Consistent estimate, 相合估计
# |( V! O# i/ A4 D0 k2 z4 DConstrained nonlinear regression, 受约束非线性回归: g! q& Z" b$ h( S- p# N
Constraint, 约束
# `2 e' H9 z+ CContaminated distribution, 污染分布
8 q( O4 {( O" v7 b% CContaminated Gausssian, 污染高斯分布; B+ \. m9 r0 r+ A L* g- M# _
Contaminated normal distribution, 污染正态分布/ U* @ F+ C' _8 o5 _! U
Contamination, 污染( p8 a. f5 S, }2 K) z E& v2 G
Contamination model, 污染模型
, j+ i& |# m* R8 K- T; L0 ?Contingency table, 列联表; C7 X% W3 q7 L
Contour, 边界线7 K2 @' X6 m; c' H2 K* h/ ^
Contribution rate, 贡献率
" i) P, ^' ~( iControl, 对照( g7 b# ^3 X/ f" R
Controlled experiments, 对照实验
& _& R+ V# ~9 @Conventional depth, 常规深度& \# }& z& G0 n. e
Convolution, 卷积
1 c$ k$ A* y9 D' J6 d' n7 [+ S9 ]1 DCorrected factor, 校正因子- M. g; e+ l* `( y* f: c3 k V; V
Corrected mean, 校正均值$ j1 J" U) d$ L8 O
Correction coefficient, 校正系数
* s- O' C% q9 @: a" x6 [Correctness, 正确性/ _( w' [9 C3 P' n) f4 v7 j1 T
Correlation coefficient, 相关系数
& m, j# s6 c/ O% @* CCorrelation index, 相关指数
7 g& h! F; d3 W6 {9 e% C- ^$ {Correspondence, 对应0 t& n5 }& @# i$ `
Counting, 计数2 g# ~) j0 G. U; p& h$ m% z6 B$ @
Counts, 计数/频数4 x& A0 H* T8 d- x4 n, J
Covariance, 协方差
* K9 ~. W0 x5 _# Z/ \/ _1 XCovariant, 共变 : a/ `6 u8 [2 { B9 W; N
Cox Regression, Cox回归
& J0 D* V0 U/ X. g# zCriteria for fitting, 拟合准则3 w$ e2 g: V+ J2 O2 L* F g, {
Criteria of least squares, 最小二乘准则
0 ?3 d5 m+ e; u2 fCritical ratio, 临界比+ Q- j6 N$ c W) U! Z
Critical region, 拒绝域
* B& T7 E& S/ ^) }8 R* F! @Critical value, 临界值3 S5 V& G! ]' ~! G* r/ u
Cross-over design, 交叉设计6 Q v6 o. |5 j$ ]) d
Cross-section analysis, 横断面分析
' M' S: I t( q( @2 y, CCross-section survey, 横断面调查6 o2 I% `6 C6 `
Crosstabs , 交叉表 Z8 L$ I3 ^$ r# y* p7 j5 f
Cross-tabulation table, 复合表* {0 {" b) u" a6 n
Cube root, 立方根
- f% J0 @9 ^4 t; C* x, yCumulative distribution function, 分布函数
1 B8 [ E/ R o, i) Q2 g5 v6 w, pCumulative probability, 累计概率9 C0 @( h3 d( j4 V' O! N% A( {5 k
Curvature, 曲率/弯曲
; G; @( N% a, RCurvature, 曲率
# K! \$ }: U5 q' CCurve fit , 曲线拟和
/ B( f- m: J' f- h. lCurve fitting, 曲线拟合6 A A! V- n* o6 v' F' {8 k
Curvilinear regression, 曲线回归" k- b" m3 K3 K# W5 E/ P& e) [. [0 ]
Curvilinear relation, 曲线关系% ]$ g3 u% T( `- m1 D$ k: \; v
Cut-and-try method, 尝试法
6 Y0 Z$ f0 S9 W/ ACycle, 周期
/ f; p/ o# Q. U3 B) Q+ Z2 jCyclist, 周期性
/ w9 S1 G) t9 [. Y/ e# R- N$ QD test, D检验
$ d) _5 D! d4 I% W" oData acquisition, 资料收集3 g( V& ~. c1 M0 v9 a
Data bank, 数据库
+ H3 |& u' H& E6 v6 f8 KData capacity, 数据容量
3 P, }# a. {. c) Y' L7 ^/ fData deficiencies, 数据缺乏
6 ?6 Z3 p5 T) a3 |5 @Data handling, 数据处理& m2 @" j" T3 w9 S0 R8 z8 x- h
Data manipulation, 数据处理! Z1 ?& c% O1 H; s" U$ \% G( P
Data processing, 数据处理+ J s1 e4 F3 M
Data reduction, 数据缩减
( w8 x1 N0 s- i- d4 O! lData set, 数据集! H* y* D9 i `( A
Data sources, 数据来源) T( _9 U Z# B4 r
Data transformation, 数据变换
- u3 s. l& e7 t$ K- fData validity, 数据有效性$ t) {. z! a. g/ E1 p
Data-in, 数据输入5 ]1 ~5 R$ m W7 _7 G
Data-out, 数据输出
5 {! J/ c( x2 U1 r( @. M& H+ XDead time, 停滞期
/ x! h6 s9 L6 sDegree of freedom, 自由度
$ Q( D" z& r$ m% v2 S" {& TDegree of precision, 精密度
0 t$ }* S' y8 X# E) v2 |; g- lDegree of reliability, 可靠性程度: Q- m3 O; U# Z+ y: {& A# B9 y! n
Degression, 递减4 o* P" L0 j! g) d, e/ B
Density function, 密度函数1 u' K2 g; R; T: x: M' E1 q$ d
Density of data points, 数据点的密度
) f5 {) ~# @# c6 |Dependent variable, 应变量/依变量/因变量& h6 v0 ?8 T" h3 U E4 V8 u
Dependent variable, 因变量& J: W% _% K; v: ^; X( e7 L
Depth, 深度; |; X4 h1 h7 ^8 z9 [8 w5 E9 d
Derivative matrix, 导数矩阵
) u, ~& m' q! v) L( rDerivative-free methods, 无导数方法
3 U& C( r. b4 W8 d+ G. i% @Design, 设计% S8 f/ F. o: j3 B$ H5 X' G
Determinacy, 确定性6 R* F) f- ?8 D" K" r
Determinant, 行列式7 Q/ T, o, f! R; i
Determinant, 决定因素, B, G8 K& D' N
Deviation, 离差
8 ]2 i4 c; U3 T x( ZDeviation from average, 离均差
3 x0 y6 m) P/ l G+ yDiagnostic plot, 诊断图; q3 A; ^5 ]* v1 G1 b$ F* n p
Dichotomous variable, 二分变量
6 R7 i/ K# l# s4 f$ _Differential equation, 微分方程3 y: X% c* ~- Q9 a- V' m! T+ k, {/ l7 N
Direct standardization, 直接标准化法
+ }- X) R7 H5 s/ QDiscrete variable, 离散型变量
$ r1 g& G7 `, v" R* F! A, S& l1 g% w. ]DISCRIMINANT, 判断
* s1 i: g; a7 ~" t" z% h( gDiscriminant analysis, 判别分析
& ~5 u1 @5 u; ]5 e0 ^Discriminant coefficient, 判别系数- W( b6 @% N J2 X7 B/ X# y) I) V4 J
Discriminant function, 判别值
q! R1 s2 Y! M" j# xDispersion, 散布/分散度8 o6 J6 y, r5 m. @
Disproportional, 不成比例的6 b! Y9 H' ?1 d4 S6 U8 c7 b2 L
Disproportionate sub-class numbers, 不成比例次级组含量8 d( r8 K ?& u) E( I F
Distribution free, 分布无关性/免分布
, t! c! @$ H8 p9 jDistribution shape, 分布形状) U0 Z! S+ R) d
Distribution-free method, 任意分布法
4 M% Z7 q3 @- w6 g* PDistributive laws, 分配律
! [( h; \/ a5 E$ NDisturbance, 随机扰动项
: U) E) G" C2 L' d- lDose response curve, 剂量反应曲线- W) {+ T3 `7 \1 k: |2 C
Double blind method, 双盲法
- Y5 f$ N: X) K8 j8 D( uDouble blind trial, 双盲试验: ^; K) s6 r7 {0 W" e' O8 f M
Double exponential distribution, 双指数分布/ h5 R# j) c: K) V5 \, _/ a
Double logarithmic, 双对数" `) d l0 }' }3 Z/ {9 P1 j
Downward rank, 降秩; W7 q9 `8 @9 x* d# N, } F
Dual-space plot, 对偶空间图# ^: A, P0 N% o: }! A
DUD, 无导数方法
* v3 N/ w$ j; Y5 g( ]Duncan's new multiple range method, 新复极差法/Duncan新法
) v4 a$ `! @& @/ c1 v3 cEffect, 实验效应 F7 U2 W5 ]% O8 l' O
Eigenvalue, 特征值6 m: v7 g1 X+ B/ p7 w' o k2 V
Eigenvector, 特征向量
! [% s. N2 P8 L3 y9 q2 t# A) |- q- B pEllipse, 椭圆
6 @# B- d% @" y% Y3 VEmpirical distribution, 经验分布- @+ |1 u$ K% T: O3 u; ?- H# D
Empirical probability, 经验概率单位6 i; z3 M$ d9 m: f7 }$ G
Enumeration data, 计数资料
9 X2 `; y8 ^1 a/ l7 G" B8 mEqual sun-class number, 相等次级组含量
& C1 u. T; Q* h: j8 |' |) w" PEqually likely, 等可能5 A; U8 ~8 _9 M# k+ }1 _5 R
Equivariance, 同变性" Y- h; C4 H% {2 p3 B9 @7 U9 U# a
Error, 误差/错误
& j# X; {/ p1 a5 u: J) eError of estimate, 估计误差
) q6 l! K. [ e+ h/ kError type I, 第一类错误
5 R. Q; c6 }0 R( V# b1 N8 D/ UError type II, 第二类错误$ H5 r Z. W; I, s P$ R& [
Estimand, 被估量7 m1 S# V' G/ C4 F* @& q
Estimated error mean squares, 估计误差均方
8 ^7 X% F1 W$ ^) j6 h% sEstimated error sum of squares, 估计误差平方和
" i4 H$ D1 X# a* {6 P* k. g7 iEuclidean distance, 欧式距离
: z4 M3 Z( C' D4 ^Event, 事件
1 \! g; q2 F$ L8 fEvent, 事件
9 I" M0 N4 Y9 k# v0 O4 FExceptional data point, 异常数据点
0 h, r. y! H" Y: R$ ^. p( @2 KExpectation plane, 期望平面
# K5 A6 C% I: w! m d% EExpectation surface, 期望曲面
6 ?: c. Q$ A3 O0 vExpected values, 期望值0 M6 P0 d8 u7 E
Experiment, 实验: m7 J9 n ~" D V7 @ W* s F
Experimental sampling, 试验抽样
4 d! x# {- A( r. h2 d- W: TExperimental unit, 试验单位5 S; |! J% O# `! L0 C
Explanatory variable, 说明变量
8 A/ u6 m( G9 }! s) l7 T' `Exploratory data analysis, 探索性数据分析5 Z8 L+ m h" n8 r
Explore Summarize, 探索-摘要! V' [- ]; ~+ Q) g4 \
Exponential curve, 指数曲线
# r" b6 L) e0 F8 Y N1 [$ C# lExponential growth, 指数式增长( D7 ^7 t' R+ m7 Y) F3 W! C7 @7 x
EXSMOOTH, 指数平滑方法 / J, y/ c/ G" q S
Extended fit, 扩充拟合0 g2 N$ _* Q6 r) r5 p
Extra parameter, 附加参数
* {' p! m1 |- Y7 p( T0 FExtrapolation, 外推法; n" N' S i- U/ E
Extreme observation, 末端观测值1 O8 F& M ?8 r; u
Extremes, 极端值/极值4 t# z" h5 G! Y ^
F distribution, F分布
( l- X. R% z& g0 @' q$ yF test, F检验
" ?, B4 ?* T7 e2 J. R% S' VFactor, 因素/因子
/ U: D1 A* O, ^. K! Y# tFactor analysis, 因子分析8 i* Y2 M6 D3 p2 o, x2 U% j
Factor Analysis, 因子分析; i7 B/ ~( q F: M8 R y% s' A
Factor score, 因子得分
' a8 I5 b; i7 q8 TFactorial, 阶乘6 n( y2 ?3 h6 X# B" t! _3 z3 E- u
Factorial design, 析因试验设计& Z0 ~/ X/ J i; z# g
False negative, 假阴性3 A# D6 p2 Y7 a
False negative error, 假阴性错误
" n7 `) V6 k% yFamily of distributions, 分布族7 C$ \$ Z- l7 ~# V. o: z5 M( ]9 {
Family of estimators, 估计量族
; z5 G$ D$ x0 I% |4 u- [Fanning, 扇面
7 ?2 q$ o6 n! gFatality rate, 病死率
3 D7 H# D$ f9 a( I2 AField investigation, 现场调查
4 x$ R6 {7 y) Z7 QField survey, 现场调查
, {8 r# Y+ A: n& OFinite population, 有限总体
- w! l6 o& Y0 W* VFinite-sample, 有限样本( l4 d ]* O$ u5 v. e
First derivative, 一阶导数0 S( W1 M6 {! C1 p( H8 B/ S$ j
First principal component, 第一主成分
* T& g* h( S6 Q* w1 g3 |First quartile, 第一四分位数
$ }8 Q f% B d; m2 b$ ^Fisher information, 费雪信息量
4 u" a4 p# k0 d4 w0 r6 YFitted value, 拟合值- k6 p- R- o' q+ F9 x5 G
Fitting a curve, 曲线拟合
8 R$ x$ T1 D4 z( f2 h2 P9 ?( \" QFixed base, 定基* k0 z1 \/ d, g' R: T. d( B
Fluctuation, 随机起伏% |- b5 d' G* I+ ]9 p2 m' f
Forecast, 预测
' I1 w! c' v, {% C9 Y. yFour fold table, 四格表
% z" y* `2 d2 H1 wFourth, 四分点2 a a; N% `4 y1 W5 W
Fraction blow, 左侧比率( Y4 \, o% k& i4 {! ?
Fractional error, 相对误差
: Q" {) i. b2 k) oFrequency, 频率$ j# N0 }- L& D! T& ]1 \6 r
Frequency polygon, 频数多边图
* h6 Q+ o; {2 g& @- o" @4 DFrontier point, 界限点9 ]2 U8 N5 H0 c W* }: ?* b
Function relationship, 泛函关系
0 \7 V2 Q6 v( o2 @: C6 ^- L6 A; sGamma distribution, 伽玛分布7 J# F- E' f) e3 ]% u
Gauss increment, 高斯增量 i4 }* Q( Q+ H7 {1 U& r7 r J
Gaussian distribution, 高斯分布/正态分布
! @& b* G _8 NGauss-Newton increment, 高斯-牛顿增量 z+ Y, K7 P8 z% S, p6 k y
General census, 全面普查$ x8 Q3 e7 F: W) Q+ g( P/ C& t, P2 g
GENLOG (Generalized liner models), 广义线性模型
+ m2 N% }$ X6 r5 T; l1 [+ v6 F. n; tGeometric mean, 几何平均数
+ |. e- ^3 ]! r3 jGini's mean difference, 基尼均差& N1 m* ~; Z7 X8 x z+ H# h
GLM (General liner models), 一般线性模型 - H% {( P; g+ z9 p/ g
Goodness of fit, 拟和优度/配合度: t. `$ p; u. c
Gradient of determinant, 行列式的梯度
3 _) B6 c+ p) ]Graeco-Latin square, 希腊拉丁方
2 J3 w; V% w& p e3 AGrand mean, 总均值
0 x. K0 Q) B+ L- Z1 i- AGross errors, 重大错误- h3 K7 N) C+ {, j: n
Gross-error sensitivity, 大错敏感度
9 d. ]1 W/ [5 C6 fGroup averages, 分组平均) N+ t4 s% @& N6 g4 N
Grouped data, 分组资料
! y1 g4 j2 `- rGuessed mean, 假定平均数
J y+ [; E; M/ ?& rHalf-life, 半衰期
- }7 J4 J! ^) Z8 o6 Y# A& N1 w3 jHampel M-estimators, 汉佩尔M估计量$ ~' F7 Z8 q$ r! S
Happenstance, 偶然事件7 t" X0 G! H3 t; o- p6 t: _9 ^
Harmonic mean, 调和均数
$ C9 D* h% X$ b" a' MHazard function, 风险均数
& E- d# o0 C; @) ^4 m; B0 c& THazard rate, 风险率6 P) G) Q- ]6 H2 W P
Heading, 标目
6 y8 X e) [ E3 cHeavy-tailed distribution, 重尾分布
8 d% B9 h0 D3 ]6 w6 M" j4 ~Hessian array, 海森立体阵
Z6 v% q& {2 w: v% ]5 \Heterogeneity, 不同质
% }7 h' }* b- {# |& z2 yHeterogeneity of variance, 方差不齐 , G# ?: r' T- L
Hierarchical classification, 组内分组- q7 i; x; m5 m
Hierarchical clustering method, 系统聚类法
5 ~( X% ~3 J- }1 A. k- AHigh-leverage point, 高杠杆率点; Y- [ s0 C" {7 I
HILOGLINEAR, 多维列联表的层次对数线性模型
) W) N5 D+ I# k4 _Hinge, 折叶点; ]3 n9 p5 O7 i$ w# T1 z
Histogram, 直方图" m2 w+ ~! F, u) k
Historical cohort study, 历史性队列研究
. h7 S" S3 `5 T! qHoles, 空洞6 S6 r# M3 W9 F) i$ `$ g. d$ x6 ]
HOMALS, 多重响应分析5 `5 y, ^6 y! t2 ]2 M
Homogeneity of variance, 方差齐性# F" |, _7 F+ F4 W& R- H! h
Homogeneity test, 齐性检验7 i2 y2 o/ e1 |4 @
Huber M-estimators, 休伯M估计量
; L; l' h$ K w( T2 g% GHyperbola, 双曲线4 @! M ^4 i+ l2 a( `
Hypothesis testing, 假设检验
Y ?; |5 ]! b5 u* @Hypothetical universe, 假设总体& v3 p# E: I6 d! @3 ?3 s
Impossible event, 不可能事件
. ]( M* x6 B9 F2 l/ iIndependence, 独立性
" ~) _! b& x" F* l Y( TIndependent variable, 自变量
( m5 _ }7 { _: u% O3 c! NIndex, 指标/指数1 }# y% \" ^4 H+ ]
Indirect standardization, 间接标准化法
0 I0 A j* M6 F7 E7 iIndividual, 个体. P/ o( x9 c/ N' w2 j! t% ]
Inference band, 推断带$ `& l x) Q& h3 V) F @( @; ]' Y
Infinite population, 无限总体$ q( w) o) `( B; D8 V% l1 L& n
Infinitely great, 无穷大8 k3 z/ Q+ b, l, Z( K: o
Infinitely small, 无穷小
3 t5 n$ w8 a9 R. cInfluence curve, 影响曲线1 ?2 W6 y* I3 }) g
Information capacity, 信息容量
2 M& I2 X4 H9 C2 Q# c$ o* }# `2 hInitial condition, 初始条件
+ I& o* S( T/ a/ yInitial estimate, 初始估计值
* q9 o3 L- P/ _6 J$ ?2 hInitial level, 最初水平8 j! a* E3 q6 `6 } m& _/ H: n
Interaction, 交互作用
- o% D8 y+ E7 a/ ?& t* zInteraction terms, 交互作用项
" ?! r [* _/ o& ?Intercept, 截距. s" M6 g. l% l6 @% v+ k- V
Interpolation, 内插法
$ l2 O! v: D) a6 a8 T! }3 nInterquartile range, 四分位距
7 F o" x) [6 [' D4 tInterval estimation, 区间估计3 v3 {: _4 G$ h( z( [8 a
Intervals of equal probability, 等概率区间
0 X2 u8 e9 Y1 {/ g' WIntrinsic curvature, 固有曲率
: ~! J+ N a t% Y3 ZInvariance, 不变性# K; p: J q" |7 C
Inverse matrix, 逆矩阵 ]% ^2 X6 M: M+ V3 @
Inverse probability, 逆概率% T0 ]" H# N: P! Z
Inverse sine transformation, 反正弦变换) x. W3 b8 `% _- d
Iteration, 迭代
3 ]7 u9 }/ A. ]6 Y! i' wJacobian determinant, 雅可比行列式
$ M( S% H# E4 R. {: T+ @+ |Joint distribution function, 分布函数
! X8 s' |/ F2 f9 fJoint probability, 联合概率
/ K& y5 h- w g4 E, ]$ WJoint probability distribution, 联合概率分布* p' z8 J! M I% B4 d/ k+ I7 e
K means method, 逐步聚类法: R, Z u7 c$ u1 \" w4 s
Kaplan-Meier, 评估事件的时间长度
- h7 Q0 n6 h0 c+ m' B1 ZKaplan-Merier chart, Kaplan-Merier图- g8 o: u! [ j
Kendall's rank correlation, Kendall等级相关
0 X( s2 N7 p+ J8 d+ XKinetic, 动力学
& b7 Q6 z3 a# ^9 t+ p. rKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
5 A8 x& F, E( \& A, l4 MKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验# x7 n3 t4 T2 C$ g6 H7 y0 y r# D
Kurtosis, 峰度( b5 z# D% y% Q( b" r
Lack of fit, 失拟
# @- r r$ k, D- |Ladder of powers, 幂阶梯9 L3 D: W6 Q( e8 W% L G
Lag, 滞后
1 a5 \% y. O! g. j' C+ c0 P8 eLarge sample, 大样本& l1 q* e" |& | d* j$ z: f
Large sample test, 大样本检验
6 i7 E2 x% l" e: f3 rLatin square, 拉丁方
0 k2 w* @. w, m! hLatin square design, 拉丁方设计
- Z) s$ o: G/ U* j) V- LLeakage, 泄漏7 }( r" y1 H: D" g2 ~
Least favorable configuration, 最不利构形
5 G. m# D0 n* p( [4 wLeast favorable distribution, 最不利分布9 N9 ]/ y& V, X+ V3 M; j
Least significant difference, 最小显著差法7 q# {2 A" P7 @& m
Least square method, 最小二乘法" s8 N( j, B/ G* p8 ?3 F n3 ?" W' @
Least-absolute-residuals estimates, 最小绝对残差估计# s. K: [3 \ k2 s* K6 c# L
Least-absolute-residuals fit, 最小绝对残差拟合
- g0 B8 n. i8 D2 t! L2 _Least-absolute-residuals line, 最小绝对残差线8 K/ m- o; Z! o' d! G' X5 A' x
Legend, 图例
* c8 ~5 N4 r: m+ A! DL-estimator, L估计量
1 I0 Z/ Z( W% a3 E' @ I. h0 P- QL-estimator of location, 位置L估计量, [( ?& c& q- V. \
L-estimator of scale, 尺度L估计量
0 s& X& x) J( b1 U3 K8 ~Level, 水平
% H3 |$ q/ |. T% b! B! h3 t& NLife expectance, 预期期望寿命& q3 J9 _* M& m5 {: ?6 ?
Life table, 寿命表
/ ~7 X7 d- ?, M) M0 `# S, eLife table method, 生命表法
! W: y* j; e5 a( f6 ELight-tailed distribution, 轻尾分布$ z! i# {% \% l) U9 i3 V! W
Likelihood function, 似然函数2 C% D$ ` M8 ~0 v1 k4 q
Likelihood ratio, 似然比
: c4 O) c* j2 F1 L3 e' q, E, g+ Sline graph, 线图
2 b. t7 U3 A: \5 Z1 ZLinear correlation, 直线相关
: |1 [- y5 Z: @8 qLinear equation, 线性方程6 [ w$ F3 `# |3 S0 {' C9 h
Linear programming, 线性规划4 a, V5 t$ L7 ]4 e, u; f
Linear regression, 直线回归 e$ h6 U" S. R! @3 i
Linear Regression, 线性回归
8 k3 X9 b( M' o) _' |Linear trend, 线性趋势
3 G2 }" ` |) [5 X' JLoading, 载荷 ! ~8 g. \7 n1 t# f- e
Location and scale equivariance, 位置尺度同变性0 v9 @$ V) A2 N7 v; K9 z6 c
Location equivariance, 位置同变性
% z3 c4 z2 b% PLocation invariance, 位置不变性
* O; i4 Y0 W3 k( i ^5 QLocation scale family, 位置尺度族3 R% _3 ~" g# P& }: u4 ^4 A
Log rank test, 时序检验 1 {2 X8 j. k9 {6 O- k
Logarithmic curve, 对数曲线+ N* A, u- u+ q# S. O" f* x! u* r
Logarithmic normal distribution, 对数正态分布' W. Y9 Z1 w' [0 m8 y# W" M ^0 `% L7 G
Logarithmic scale, 对数尺度' N" I4 S5 I* u4 W) ~, s! \
Logarithmic transformation, 对数变换' W: ^# }5 ~! m) ?4 U
Logic check, 逻辑检查 [" T1 [1 B% w1 K. Z% Y
Logistic distribution, 逻辑斯特分布# ?) g4 ]3 K( y3 A0 z
Logit transformation, Logit转换1 J$ C# j: {, M; f h
LOGLINEAR, 多维列联表通用模型 9 ]4 S, S/ U9 Z) t+ p% h0 n1 R+ Q4 W
Lognormal distribution, 对数正态分布/ D4 T6 ]! z+ ]' G+ F7 J: V
Lost function, 损失函数4 y2 T1 N6 X4 ^5 N5 b
Low correlation, 低度相关
2 f0 [% R& V3 b7 ~6 s- ~4 eLower limit, 下限, L$ M$ Z8 ^: F. H2 o' F
Lowest-attained variance, 最小可达方差4 Z, }# M1 H: f6 `3 h, Z
LSD, 最小显著差法的简称
( e" A! g! g+ l4 I7 H0 `6 ^- HLurking variable, 潜在变量
8 A ?* V/ S2 M$ }+ _Main effect, 主效应
2 U4 C5 C% _0 a! y' J' f6 d: \Major heading, 主辞标目
$ c$ h. i* x& f) |# b0 O4 Q, XMarginal density function, 边缘密度函数" Z1 `* a7 q2 ?, \
Marginal probability, 边缘概率
+ X# K) o; l' s4 zMarginal probability distribution, 边缘概率分布. w) @' m( g; I6 Q6 t4 K- B
Matched data, 配对资料& P g3 p T5 g/ d
Matched distribution, 匹配过分布
; J) W$ @0 M. d$ ~6 BMatching of distribution, 分布的匹配$ {/ h( j2 `, B- i
Matching of transformation, 变换的匹配
' i3 F3 V; Q$ r, o6 X* AMathematical expectation, 数学期望
$ A3 s b! M7 i3 B4 @$ }5 ^7 uMathematical model, 数学模型$ g$ i9 [2 N% w3 U1 @- I: q
Maximum L-estimator, 极大极小L 估计量
( u; r: w$ _- n! OMaximum likelihood method, 最大似然法0 Z, R& \6 O3 F5 ]
Mean, 均数! N( m( h* j3 g9 c5 h- N" o
Mean squares between groups, 组间均方8 [* e! R; E. X4 P
Mean squares within group, 组内均方
8 l$ O1 o2 |. F5 k5 {5 vMeans (Compare means), 均值-均值比较6 r7 i+ s, o! \! R
Median, 中位数
2 o, [4 X" R9 ^5 O5 aMedian effective dose, 半数效量2 T; F H' \5 B1 [0 z" `
Median lethal dose, 半数致死量
: R' V) m/ b5 M/ a! W: ZMedian polish, 中位数平滑( X" |9 b% B/ Z4 }& G" z/ L
Median test, 中位数检验' g0 E/ C! q" y2 j( C3 D* p6 V
Minimal sufficient statistic, 最小充分统计量
# t5 a3 ?' l2 sMinimum distance estimation, 最小距离估计& T9 p9 O/ A1 q
Minimum effective dose, 最小有效量5 e# [2 o9 @' {8 w( d3 T* M
Minimum lethal dose, 最小致死量9 B5 K% O" v9 Z' ^
Minimum variance estimator, 最小方差估计量7 J( a2 N2 f+ j$ \' D7 B/ v( Q
MINITAB, 统计软件包 B7 z* T1 C2 X i
Minor heading, 宾词标目
& q% W; J" ~0 {; ^1 X: X- O/ GMissing data, 缺失值
+ t9 C% i7 f# F, q! Z9 m. e& s" bModel specification, 模型的确定
% Y8 ^, J7 x3 PModeling Statistics , 模型统计
$ I* m# U$ Y7 j3 ?$ T- { Z( I+ nModels for outliers, 离群值模型
0 C( G) q# I4 {% ?5 eModifying the model, 模型的修正
3 v7 ~$ _# N' ?: P% eModulus of continuity, 连续性模, _8 r6 I4 [7 W% v
Morbidity, 发病率 ' F; F7 T X z$ f g6 X3 y
Most favorable configuration, 最有利构形
' K* l' w; r" K( IMultidimensional Scaling (ASCAL), 多维尺度/多维标度/ u3 s; ^, f+ j9 ^
Multinomial Logistic Regression , 多项逻辑斯蒂回归% h) ~* Y# o3 X* A; h8 a
Multiple comparison, 多重比较
* [' F& J1 j; b! a* R9 T; }Multiple correlation , 复相关/ l a6 d1 O: c# {! y4 Y3 X$ f1 O
Multiple covariance, 多元协方差4 o& Z6 G ?5 F; L$ j9 F: L7 `
Multiple linear regression, 多元线性回归7 ~, V6 \% g) p
Multiple response , 多重选项( m' R* l- l4 h+ D
Multiple solutions, 多解1 e3 W0 F( @" O* ]' \" {
Multiplication theorem, 乘法定理! x$ J/ V" r6 M2 R, Q. w* {
Multiresponse, 多元响应
. O8 K. {5 E* ?+ a1 b5 n0 ]+ W9 VMulti-stage sampling, 多阶段抽样+ N" `4 f+ \ L$ k7 m) C
Multivariate T distribution, 多元T分布
2 ]: j# k4 ^. F7 z2 S6 OMutual exclusive, 互不相容
* k! F8 f8 \! V3 BMutual independence, 互相独立6 {6 @: E2 M$ _3 a
Natural boundary, 自然边界6 B6 B3 C7 V- h& P l( ?
Natural dead, 自然死亡# W8 l; a$ D2 U, X; N5 t
Natural zero, 自然零
7 G# Y1 r o3 J/ `# F/ G1 KNegative correlation, 负相关
: ^- y6 Z* g/ G+ JNegative linear correlation, 负线性相关
F) G$ u; M- ENegatively skewed, 负偏9 d$ [5 d0 a4 Z! O& m$ }, _
Newman-Keuls method, q检验5 l3 @% }' Z- H$ V0 Z) M3 j
NK method, q检验
+ [9 E h+ F! Z7 {No statistical significance, 无统计意义
# {+ ?, w1 O8 V' vNominal variable, 名义变量
) ?! J) N3 H6 f, f2 G5 Y0 n% kNonconstancy of variability, 变异的非定常性
3 g9 m5 |* F+ U d+ nNonlinear regression, 非线性相关4 j; ^- U' y: W7 J0 G
Nonparametric statistics, 非参数统计8 I" ^$ b/ R; B) T
Nonparametric test, 非参数检验
0 n8 J7 w' K0 k/ s- F7 G1 \+ E0 W$ eNonparametric tests, 非参数检验
0 X0 Z$ g3 b9 ]( O7 l. ?Normal deviate, 正态离差
' s/ {8 m" O* sNormal distribution, 正态分布1 T0 [/ k0 p5 r# a4 T
Normal equation, 正规方程组
* w% d+ @! \* A- nNormal ranges, 正常范围
0 A" v' N1 _, S. HNormal value, 正常值
. t3 d0 g* p* `) S6 xNuisance parameter, 多余参数/讨厌参数
( ]0 [$ m; Z" n k- _. VNull hypothesis, 无效假设 + V- J- _6 n, f. N% T: t5 e: t
Numerical variable, 数值变量
9 Y4 b7 w# F: z4 F+ gObjective function, 目标函数 Z! L. p! r: {- C
Observation unit, 观察单位/ ?1 E) Z" v- x- o
Observed value, 观察值# D; N! W. Z/ B; Z* `* q1 ?
One sided test, 单侧检验0 n' a, Q4 u* s% i- E& i2 q$ f$ r
One-way analysis of variance, 单因素方差分析
3 e U: \- U% b1 R/ @Oneway ANOVA , 单因素方差分析3 g# k- @2 S" Q! y: i
Open sequential trial, 开放型序贯设计& U1 s4 d- T4 @8 G
Optrim, 优切尾
) B/ P- H; Y/ ~. Q& IOptrim efficiency, 优切尾效率3 U+ p+ Q- ^' h- f
Order statistics, 顺序统计量$ Z( p& S7 t. d7 W4 K$ G; r
Ordered categories, 有序分类" H/ z% S9 P. r' ?/ _ s( X9 t
Ordinal logistic regression , 序数逻辑斯蒂回归
+ \9 o' t2 s$ n' A6 V1 a# W2 t/ t% uOrdinal variable, 有序变量3 u. Z' M- y1 T0 g
Orthogonal basis, 正交基
7 ^2 o2 b) c2 o3 YOrthogonal design, 正交试验设计% J7 Q; {8 M. u# Y
Orthogonality conditions, 正交条件. F5 X, T t4 }# F( S1 k; z
ORTHOPLAN, 正交设计 ; q/ u1 u4 v0 a# v
Outlier cutoffs, 离群值截断点
) d+ t& R7 i6 r# ~& nOutliers, 极端值7 `8 n" u A- a# H5 D8 B2 T& j
OVERALS , 多组变量的非线性正规相关
3 x2 B+ z. k9 v1 r: W; `$ YOvershoot, 迭代过度- f& E; C# G9 t* G0 P
Paired design, 配对设计4 S9 m4 D& n- s. T
Paired sample, 配对样本9 T4 n `2 l8 c9 q
Pairwise slopes, 成对斜率
/ C# l B3 H! s- B4 YParabola, 抛物线# V4 N+ l/ Q0 Q4 X8 A
Parallel tests, 平行试验
+ m2 g I- x" M0 ~. j @Parameter, 参数 m3 M Z4 l4 F+ ^2 D
Parametric statistics, 参数统计) S! S& u6 N* B+ ~6 o
Parametric test, 参数检验
8 S) f) X* @6 }( EPartial correlation, 偏相关1 A# z* B5 h6 R/ e
Partial regression, 偏回归/ P4 \8 @" L- |" k; Z# C
Partial sorting, 偏排序5 W. w" B' N( p
Partials residuals, 偏残差2 Z' E( J( I1 I3 @3 j* H0 [1 r
Pattern, 模式$ c9 {' Z: p5 z4 U
Pearson curves, 皮尔逊曲线
1 v0 g, \" X5 t1 S3 YPeeling, 退层
5 H, Z% e' ^( t# ]! }2 }8 D! ZPercent bar graph, 百分条形图
: y: h. C' ^( a' DPercentage, 百分比$ B) L7 h* b) F, `8 _5 p
Percentile, 百分位数
. K$ i0 ? s1 `! b. Y5 x0 o: jPercentile curves, 百分位曲线" ^& w' W& B7 K( r
Periodicity, 周期性% T/ Z; e/ B% [% Q) ^) V2 H- U& }
Permutation, 排列
2 h6 s0 G$ \ o9 M6 F( zP-estimator, P估计量2 U4 ~5 \# w7 @3 L
Pie graph, 饼图$ @" Z, t- a% z- J# L3 w
Pitman estimator, 皮特曼估计量
$ R# u& S+ V4 a7 F% VPivot, 枢轴量# {+ q' `, a5 Q# y+ x m
Planar, 平坦; c* I- e! h+ r) M4 E
Planar assumption, 平面的假设
6 q* }. A+ Z+ R: h, T8 r& D8 |PLANCARDS, 生成试验的计划卡) k$ A! {' ] V+ _* h% b/ i
Point estimation, 点估计
, H( q$ F! z4 o& N- q) @Poisson distribution, 泊松分布
) ~6 S& B( u `* B: VPolishing, 平滑6 N( e% T; C! V }! ?! k3 I
Polled standard deviation, 合并标准差
" V# |/ I* n8 m8 a$ g5 WPolled variance, 合并方差$ a# u7 ]& A0 I+ o1 x5 g7 T- S4 D
Polygon, 多边图) e1 s1 ^6 Z9 i* T' n* j
Polynomial, 多项式) N) ^- i1 t. s3 l( r
Polynomial curve, 多项式曲线
; h4 c( k* D. H3 z* a5 JPopulation, 总体
5 g5 p6 E' Z3 J+ G5 yPopulation attributable risk, 人群归因危险度
: u, U( U, C' |1 X# W+ S, |Positive correlation, 正相关! ^6 M# ^9 f) O9 Y/ I! [& e0 k
Positively skewed, 正偏: ]1 \+ P+ S$ t9 y" k2 H9 z
Posterior distribution, 后验分布
u5 j! ^( b8 {2 UPower of a test, 检验效能
/ {( v3 W# d2 ]0 qPrecision, 精密度- Y9 z- ^7 f! d& U" l0 p- q: R: o
Predicted value, 预测值
" Q* m; _& r! q$ |Preliminary analysis, 预备性分析) `4 `8 {6 R/ {& r' f
Principal component analysis, 主成分分析' j5 M1 E; @. E8 d, ~$ A' @& A
Prior distribution, 先验分布; R% ~9 ]6 m' A
Prior probability, 先验概率
1 Z* s. v8 c* R- `' B& [Probabilistic model, 概率模型. m3 n: O+ |5 r2 Z
probability, 概率
1 X9 F& A( M) B( H7 XProbability density, 概率密度
8 S' t; }" B2 P! _' Y- A! |Product moment, 乘积矩/协方差8 S" h2 U' j0 P' y- ?/ ? L: t" g
Profile trace, 截面迹图
; G' n {6 m* P' U sProportion, 比/构成比
, K. M" C& c+ w# [& x# wProportion allocation in stratified random sampling, 按比例分层随机抽样* l+ M& D q8 z0 F
Proportionate, 成比例- {# l" G8 |- P* u0 u( o
Proportionate sub-class numbers, 成比例次级组含量
1 K# k7 J. g, N0 P$ U# L y7 RProspective study, 前瞻性调查
/ Q; j, D! e% E0 v; i: ]1 [Proximities, 亲近性
: Z( J5 f& z- t; O9 APseudo F test, 近似F检验
q' k: H( s9 i6 e c6 W. GPseudo model, 近似模型
( O) J' E8 q( }% O8 @Pseudosigma, 伪标准差
% R' m; n9 j1 T+ j; K% gPurposive sampling, 有目的抽样* U+ Q8 j* m5 M( H# }
QR decomposition, QR分解1 F5 `$ R/ x0 s
Quadratic approximation, 二次近似: z3 ~; |3 J$ ^+ f8 r: e+ C$ e% P5 L/ V
Qualitative classification, 属性分类
g% S6 A. e$ i- Z7 n7 DQualitative method, 定性方法$ K& k( W* U$ ^! F1 W' p. Y
Quantile-quantile plot, 分位数-分位数图/Q-Q图
* k q1 N1 t( qQuantitative analysis, 定量分析( _! I8 S0 n% S2 h- p! P- R4 t
Quartile, 四分位数
' E3 w! ^/ R/ e$ P( j' IQuick Cluster, 快速聚类
* a# _. D+ T4 A$ U5 O8 `6 o8 FRadix sort, 基数排序$ l/ b; G6 |! b5 q) w
Random allocation, 随机化分组
' W( C, x. |, |: ]! G3 M6 rRandom blocks design, 随机区组设计
+ H; e5 ]( }; r Y/ CRandom event, 随机事件9 b8 Z" l% Q! G: E6 H5 Z) H
Randomization, 随机化
; }+ e% f. j% y3 v4 v) H8 l- f0 F0 GRange, 极差/全距
. y: |1 D) K+ T( a# JRank correlation, 等级相关
$ H. g6 p. K& H, K0 I+ h4 z4 U; Z1 xRank sum test, 秩和检验
1 [ F ?' t+ Z5 S' QRank test, 秩检验& K6 ?# S. Q& Q! ~9 b& T _
Ranked data, 等级资料' H9 u7 r1 H6 G/ G( v- c: j
Rate, 比率
% z4 H% ]2 {% _! P5 F3 B& W) Z! s) YRatio, 比例
; W, B9 b' w( Y* n( C6 ^Raw data, 原始资料3 O& b8 s- [& V0 u P
Raw residual, 原始残差2 ?* J& x2 e, `7 B* p/ q
Rayleigh's test, 雷氏检验8 ?* k Q; ]9 E/ {$ i; V+ o1 l
Rayleigh's Z, 雷氏Z值
$ O I; |: Y( ~4 p* QReciprocal, 倒数6 Q0 }1 B) K% @9 w: N
Reciprocal transformation, 倒数变换& P" u5 ]7 \! k. `
Recording, 记录
7 R, F) j+ o9 u' C2 \% M+ [Redescending estimators, 回降估计量
) Y9 |% R. K4 }Reducing dimensions, 降维
% v n9 ^/ ]5 r5 G% qRe-expression, 重新表达
0 A) g! L" z5 Z1 ~7 t2 o8 FReference set, 标准组! f' X2 c( i4 J3 I; p! i
Region of acceptance, 接受域. x' i7 m, r2 u9 v
Regression coefficient, 回归系数
9 E+ N; a4 c6 n, h, N7 \Regression sum of square, 回归平方和9 q. N4 X5 o1 Q5 H
Rejection point, 拒绝点
2 N4 e" Y% L+ E" r/ DRelative dispersion, 相对离散度 v3 Y. z; N/ c
Relative number, 相对数
9 ~. `1 q8 s% u# @! Q) SReliability, 可靠性# i6 ?1 I# R& A
Reparametrization, 重新设置参数
9 G9 }- p: ^! A) @1 D: g% r* mReplication, 重复
3 V- F/ j) [$ LReport Summaries, 报告摘要
7 e9 D& Z5 h, \# ]! b, BResidual sum of square, 剩余平方和7 h& {$ D6 c6 o; H
Resistance, 耐抗性2 U' V0 G' L: ^
Resistant line, 耐抗线- n$ ~1 l E& t, @
Resistant technique, 耐抗技术4 Q/ y6 F+ U! J* h; Q
R-estimator of location, 位置R估计量 P$ m' Z& \+ R4 N) _# h
R-estimator of scale, 尺度R估计量& P' A% `0 h9 a3 a' I$ F9 E: g r" B
Retrospective study, 回顾性调查/ ], N, F( u. g! @6 `: r- ]
Ridge trace, 岭迹
* d" r* ]! n7 b4 G0 L2 C- w5 K& ~9 e& sRidit analysis, Ridit分析
2 e# r9 z2 b+ T6 B# l$ XRotation, 旋转% `( {2 o) T5 k2 D: [9 ^) y/ o3 B
Rounding, 舍入% l# h/ R0 v) H
Row, 行
( n: q0 L; \- |2 VRow effects, 行效应* v; W. Z& J% A8 Z3 p! [
Row factor, 行因素& W" U8 [6 I: m( r
RXC table, RXC表
0 [# T$ E. S( g) |; dSample, 样本
* w9 g% }9 |+ ]& t1 N7 z' r+ `3 CSample regression coefficient, 样本回归系数
& x3 L9 L- V Y' uSample size, 样本量
+ c7 w* j, G9 t/ H9 i/ lSample standard deviation, 样本标准差
8 H9 s: u- U& |- S& v' kSampling error, 抽样误差& Z+ e* L" U5 s1 S0 s& T, c3 x
SAS(Statistical analysis system ), SAS统计软件包0 @; S) x5 w) v! A5 N0 ^+ k
Scale, 尺度/量表
& m- L; a F( A! U$ EScatter diagram, 散点图
" _* Q- z; H& j8 _9 |Schematic plot, 示意图/简图: o7 E; C6 f+ d. A1 O4 w
Score test, 计分检验4 t2 r# g: ^3 d
Screening, 筛检
- K% [% J5 w( h, d- Z/ rSEASON, 季节分析 ~& c- ?, L8 l1 U ? c; w
Second derivative, 二阶导数
3 a% {8 |% R" [2 aSecond principal component, 第二主成分3 Z( f! D+ [9 w2 e5 C. d- K
SEM (Structural equation modeling), 结构化方程模型
7 B6 G( e. c0 l- lSemi-logarithmic graph, 半对数图
" J$ Z! S9 `' ?: P$ a' HSemi-logarithmic paper, 半对数格纸, {' R& T1 _5 A2 A% ]
Sensitivity curve, 敏感度曲线3 V) a$ o" ]; h6 c
Sequential analysis, 贯序分析1 t8 t" O2 ^6 Y! X$ q9 M
Sequential data set, 顺序数据集
5 H7 _. Y; J2 U K3 sSequential design, 贯序设计
. d6 }5 f* O9 [' MSequential method, 贯序法- I# y: S3 m' i v. b/ x( `
Sequential test, 贯序检验法
: D+ q0 C( d1 v# ?1 _ r1 aSerial tests, 系列试验( P6 @- F0 a7 b3 T( ^* [( [) {) R
Short-cut method, 简捷法 @* e& W9 F5 D$ c$ N
Sigmoid curve, S形曲线
7 W5 J- @5 `/ {; y8 O4 CSign function, 正负号函数
j6 S4 K# ]) V: G$ H! ySign test, 符号检验7 ~8 k* |0 E% F0 h! `
Signed rank, 符号秩4 }( x. o+ A5 H8 [* p) T+ u* b
Significance test, 显著性检验
% P# B+ m# B7 b$ kSignificant figure, 有效数字7 Q/ \; R7 E3 W* O7 c2 Q6 t4 s
Simple cluster sampling, 简单整群抽样
* u. F. q8 t nSimple correlation, 简单相关2 N7 M6 p0 I' O/ b0 m' B$ J6 N: U
Simple random sampling, 简单随机抽样
h' ^6 f$ e' q1 x$ |Simple regression, 简单回归6 h1 q9 d. w7 ~, g8 p {- G( _
simple table, 简单表2 P& e0 |, ]& ^; b
Sine estimator, 正弦估计量/ d1 Z5 C) ^6 u7 r# M
Single-valued estimate, 单值估计( p+ n: ~# _& H0 G- ]; B
Singular matrix, 奇异矩阵
; q/ `% ~( s+ L8 k! c; K; jSkewed distribution, 偏斜分布. @, U$ g9 f) n( t% u( D0 }6 ]) \# T
Skewness, 偏度( }) d0 V2 S* c6 H
Slash distribution, 斜线分布+ f) M$ ]4 s3 v( W4 G, I/ \
Slope, 斜率2 @& k3 C, P- ?2 f- o$ }; T/ M B
Smirnov test, 斯米尔诺夫检验( e! T% P( Z7 }; p
Source of variation, 变异来源! a7 y: I& O. `; `# ?3 j
Spearman rank correlation, 斯皮尔曼等级相关$ J" F* m+ \' q
Specific factor, 特殊因子
' F, {# Z; F( P1 @Specific factor variance, 特殊因子方差' N: p g$ A' _% w
Spectra , 频谱0 z# u$ j5 d5 S2 X& ^9 [1 Z8 a
Spherical distribution, 球型正态分布
' ], H4 J6 ]0 ?; e. b3 W- \Spread, 展布7 v* K Q, C* F( {& v' |2 X
SPSS(Statistical package for the social science), SPSS统计软件包
4 W& @# _3 [0 q( B+ e7 |$ j3 S- kSpurious correlation, 假性相关; @' u6 j0 b. p3 z, D
Square root transformation, 平方根变换
" Z/ P- T0 p9 Z+ [0 A! ?/ ~, cStabilizing variance, 稳定方差, C7 u: ~/ h3 m9 |. R1 i6 v
Standard deviation, 标准差6 O. j& }% R5 s6 l0 M
Standard error, 标准误
6 N! c$ z& u7 }Standard error of difference, 差别的标准误" D2 I2 w8 Y* e; a A9 |
Standard error of estimate, 标准估计误差
0 h6 f" p# q- Y4 }; I9 p5 c/ W |Standard error of rate, 率的标准误8 c3 P& J9 H' u# \9 L2 ^
Standard normal distribution, 标准正态分布
5 k7 H% [9 `, ]2 A* m; S* M" g* e7 _- YStandardization, 标准化% p" y/ M* L. Y! k' Q. }* {
Starting value, 起始值9 T9 B- R5 f8 E) c8 I
Statistic, 统计量6 K( Q! w1 p( S
Statistical control, 统计控制
" X1 F( U6 J8 IStatistical graph, 统计图
" n" p; g+ e8 c1 K2 rStatistical inference, 统计推断
: v! T+ H' m4 w0 o4 }Statistical table, 统计表
" L5 G- M3 e! O- aSteepest descent, 最速下降法4 X# [6 q6 S; N3 K1 Z, Z* {% L
Stem and leaf display, 茎叶图
: e( Z- K& v: c- [. BStep factor, 步长因子
1 E! f# \) B) u2 t2 O2 lStepwise regression, 逐步回归
- I+ l7 k8 r1 KStorage, 存
, x% a1 m' k1 i h* @' ~& y7 _Strata, 层（复数）* j! X/ ]. a! p* `
Stratified sampling, 分层抽样, l9 c7 m" y: s0 |* y
Stratified sampling, 分层抽样) L* n J8 C* ^6 s9 J4 k
Strength, 强度
( ?' `9 h$ A+ j+ l1 n6 Q3 x7 CStringency, 严密性
2 e* Q8 _+ r3 nStructural relationship, 结构关系( J) ^& Q, M$ y) ]8 i* ?
Studentized residual, 学生化残差/t化残差
" [# c. @; d% V0 H4 E! pSub-class numbers, 次级组含量4 r. H9 h# I- h- k
Subdividing, 分割7 E4 _3 y" k+ T5 }; L1 x7 I
Sufficient statistic, 充分统计量
+ o: m1 a* `# l4 O0 }6 q9 Y% Q' ]Sum of products, 积和5 s. p. h' t" v7 d* B# M
Sum of squares, 离差平方和
# g( a/ x' u7 r8 u. r* O1 e2 aSum of squares about regression, 回归平方和
& s1 t9 S$ G* X# u4 k4 _. ^% z: GSum of squares between groups, 组间平方和
" X0 e0 f2 P J7 F! |; OSum of squares of partial regression, 偏回归平方和% x5 Y3 ]# O7 Y. U6 ^# @$ @' |2 u8 G
Sure event, 必然事件$ i( e" O7 y8 X! `' p% ?
Survey, 调查* W ]* k9 M3 W; _* t: s
Survival, 生存分析
! `4 M: O( Q- z$ q) R! U. r1 sSurvival rate, 生存率- s( ]( y! G; e: D L) w
Suspended root gram, 悬吊根图, A( `: L- I. M& C) w
Symmetry, 对称
; { U6 C6 b: A5 [% O) [Systematic error, 系统误差
# _0 X0 I8 C4 ]Systematic sampling, 系统抽样% ?- V1 J. i+ M/ h, N
Tags, 标签: n. j+ {7 o% n# i
Tail area, 尾部面积
; _# o/ v! `9 y7 aTail length, 尾长2 }4 I" ^& [/ F2 D- L9 p6 H
Tail weight, 尾重6 |6 d4 {: F1 o
Tangent line, 切线/ _0 d6 j1 X0 g q' E- {
Target distribution, 目标分布 a/ |0 ^! w" b0 L" r
Taylor series, 泰勒级数
U% K$ p% O& tTendency of dispersion, 离散趋势
3 a& m$ d6 l8 z4 ^# w: `& RTesting of hypotheses, 假设检验, f) c1 A' Q; S3 j4 \. @+ n. e
Theoretical frequency, 理论频数 E) E. \/ a* ~
Time series, 时间序列5 x6 o1 |$ m0 R
Tolerance interval, 容忍区间! c3 m4 ^7 r E/ x# G
Tolerance lower limit, 容忍下限1 [/ A4 y- o: @
Tolerance upper limit, 容忍上限
3 ]9 }9 f Z. qTorsion, 扰率
- s4 c) G n% E' S q" V, GTotal sum of square, 总平方和
" i0 E2 s( `, y5 }9 \Total variation, 总变异8 |* B: G* S- \0 H; W, g
Transformation, 转换( z# }& u- n; w+ m
Treatment, 处理
# Q. K" N+ G+ O& Q( D0 J/ ]+ ^Trend, 趋势# _! W$ C& l% e$ z2 F/ Z) D5 E
Trend of percentage, 百分比趋势
* V, }% y$ s- F( j# L* WTrial, 试验( f; C1 ~3 ^$ o& m. A- N+ J
Trial and error method, 试错法4 i: N" u+ Q- ~
Tuning constant, 细调常数
" r1 \! N% w- P1 ?- BTwo sided test, 双向检验
' ]+ v+ l3 O+ a; uTwo-stage least squares, 二阶最小平方. t; }: s, [# w$ u" j/ s3 w
Two-stage sampling, 二阶段抽样
, `0 Y- A) U; D' c- PTwo-tailed test, 双侧检验# C! q; f; b! M( W
Two-way analysis of variance, 双因素方差分析4 m* O/ j# d: B' N
Two-way table, 双向表# F& z. {- A0 p# b- ]
Type I error, 一类错误/α错误
v) {- ~1 j6 B. {' e n; `Type II error, 二类错误/β错误
z/ }9 p, o4 l7 v$ lUMVU, 方差一致最小无偏估计简称$ v5 d5 x4 z: X( c/ S
Unbiased estimate, 无偏估计 @ }4 J: D, u2 B/ [3 |3 Q
Unconstrained nonlinear regression , 无约束非线性回归
# i2 n% m* H+ K, @# {4 V: ^Unequal subclass number, 不等次级组含量
1 B( M! E4 G) S s. g5 k' w8 JUngrouped data, 不分组资料
% G' G( s- s/ p$ J& c& ^, e1 x' }2 HUniform coordinate, 均匀坐标' m$ l* w1 i, J3 X, e7 j; d
Uniform distribution, 均匀分布& i2 P( m. A1 Q1 b% o
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
2 d( N; l, Q9 D; A: `Unit, 单元
% _0 i* [. q& Q& q) jUnordered categories, 无序分类
. N' c/ v; }2 hUpper limit, 上限9 m* k; Q7 a* S8 Q E d6 _
Upward rank, 升秩
+ a ?- A# X( C( P: ]4 e3 LVague concept, 模糊概念
! _7 s/ c% Q3 J/ a/ JValidity, 有效性. ~6 J/ @; y6 \9 h* f
VARCOMP (Variance component estimation), 方差元素估计2 m: m6 g5 s* w
Variability, 变异性
6 x# }& |4 J7 m: V6 I: rVariable, 变量0 x* G; A" {5 G/ Y7 p
Variance, 方差
, ^) N4 D7 ^ Q7 L# b' ZVariation, 变异
' g5 p& N6 u) d$ c0 G5 K" l' S; pVarimax orthogonal rotation, 方差最大正交旋转6 ^+ _- D# W. m
Volume of distribution, 容积
% C% y. y0 V' M9 c/ H6 HW test, W检验6 \8 R- l+ `+ G! g5 {
Weibull distribution, 威布尔分布% j1 z& J8 }% l/ I6 o3 D9 |: @
Weight, 权数9 l) O9 V8 d1 K. H5 X
Weighted Chi-square test, 加权卡方检验/Cochran检验9 K0 n% l. n) |3 e% ~0 T" _( A
Weighted linear regression method, 加权直线回归0 q8 p" O& K5 j v4 g
Weighted mean, 加权平均数
) r$ k5 C4 J# w, V8 DWeighted mean square, 加权平均方差
* N* m# ~; I) D8 S+ U6 J' v* mWeighted sum of square, 加权平方和) S$ z. T9 ^/ V ~, b3 K
Weighting coefficient, 权重系数
2 f- j1 o' h! b, R% I8 @' IWeighting method, 加权法
! ^ j+ g4 W; [% X% m3 O1 g% {W-estimation, W估计量
8 m# E" L9 d8 iW-estimation of location, 位置W估计量/ b( G/ ^( x$ {$ h- k, L
Width, 宽度# U9 z' i# C' d
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
9 B1 x# @6 d7 E7 [Wild point, 野点/狂点) s4 c% M; Y* R0 W
Wild value, 野值/狂值" x, F6 E, P5 j4 _7 q8 W
Winsorized mean, 缩尾均值" `& \3 l' n- a
Withdraw, 失访
1 z) G, E; c6 M2 n/ q3 y/ ZYouden's index, 尤登指数) I" S3 Q0 ]6 x* Q- g8 a1 W
Z test, Z检验8 J* O7 G2 y7 t, P2 C0 c l& {
Zero correlation, 零相关8 U7 n- V( n! U
Z-transformation, Z变换 |
本帖子中包含更多资源
您需要 登录 才可以下载或查看，没有账号？注册会员
x
|
|李越老师直播间|清流社工网
( 苏ICP备19044186号-1 )
发表于 2009-1-6 22:05
