|
|
Absolute deviation, 绝对离差
, t* k( \5 |) |Absolute number, 绝对数( K/ J# s! w$ d1 H. g" u
Absolute residuals, 绝对残差
- q& J' Z6 ~% d; J% rAcceleration array, 加速度立体阵
) G# \2 ^/ _2 DAcceleration in an arbitrary direction, 任意方向上的加速度
! c- {6 f* J8 P: \% e; e5 ZAcceleration normal, 法向加速度1 a; Y- q3 N N% b
Acceleration space dimension, 加速度空间的维数6 b/ H" a& X& s, T" J
Acceleration tangential, 切向加速度7 H6 e4 c' L4 @, m
Acceleration vector, 加速度向量3 N, b. k& ^0 E, X$ q/ G0 r
Acceptable hypothesis, 可接受假设
, f' F3 X# L% V! x" f* \Accumulation, 累积0 M5 s- F! n1 J6 D
Accuracy, 准确度4 W$ V, P- |3 j+ p) Z) \
Actual frequency, 实际频数$ }" A: b+ y. j8 G, o
Adaptive estimator, 自适应估计量, k4 h, q9 S7 O! q9 U3 F0 I4 H
Addition, 相加6 l2 c% \; p6 B
Addition theorem, 加法定理
" J* s+ J# m% K- OAdditivity, 可加性
: Q$ n+ H3 C& w6 G5 EAdjusted rate, 调整率
n, m) n# v+ M1 v# d. \Adjusted value, 校正值
5 l7 I4 f* ~3 b/ m, V% NAdmissible error, 容许误差
2 F: ^ G+ y( U* TAggregation, 聚集性6 J7 F M) m6 Q6 m) o" a8 M
Alternative hypothesis, 备择假设
. w) |, q7 i7 }; W( D, |Among groups, 组间6 `8 u4 i: s9 P W
Amounts, 总量
$ Z2 r: @+ U. H7 z: pAnalysis of correlation, 相关分析! K2 k9 @7 O2 D5 A
Analysis of covariance, 协方差分析' d1 L4 [& P) W6 I d3 [
Analysis of regression, 回归分析 A5 a) [/ b/ O; h! w( W
Analysis of time series, 时间序列分析
$ w/ ?4 g" [) a& Y( X6 C. BAnalysis of variance, 方差分析! K5 Z; e+ x& x6 N2 B
Angular transformation, 角转换
% d: n' _2 y V1 l) F( A+ \; o, a( v( UANOVA (analysis of variance), 方差分析3 i/ z7 K3 H# x; o, H6 A
ANOVA Models, 方差分析模型
1 q9 `2 x o# g6 J! ], pArcing, 弧/弧旋
; N, L: Q M$ ]1 ^, R; s$ W. \Arcsine transformation, 反正弦变换
" o' J3 O l: u9 JArea under the curve, 曲线面积
8 F9 x2 m3 q) d/ r) yAREG , 评估从一个时间点到下一个时间点回归相关时的误差
0 i, I/ k) u2 f( {8 q- Y; m- DARIMA, 季节和非季节性单变量模型的极大似然估计 % H8 r7 ]8 r( s: U
Arithmetic grid paper, 算术格纸
: X4 j1 X6 Q+ G3 Z G8 _" }Arithmetic mean, 算术平均数/ o r9 S; f' W; X; b7 v6 n9 j
Arrhenius relation, 艾恩尼斯关系
; \8 U; p1 N, Q: D7 W0 fAssessing fit, 拟合的评估# `4 U! [" y9 E! K9 X! e
Associative laws, 结合律
" k+ h. i8 e8 Y& t, U$ ~ {Asymmetric distribution, 非对称分布2 a; O3 |* t3 |* W9 O8 b ^
Asymptotic bias, 渐近偏倚. N9 V3 B: p, }
Asymptotic efficiency, 渐近效率! \& k J2 e0 t' I" n* ^
Asymptotic variance, 渐近方差
/ m9 g% t& f; U. ^" HAttributable risk, 归因危险度
! G3 {& H+ h( pAttribute data, 属性资料
7 G/ e; U7 A, z4 f& ~1 z, xAttribution, 属性
* n+ P) S7 S* qAutocorrelation, 自相关
! H- x4 a3 j) yAutocorrelation of residuals, 残差的自相关
# M0 C1 p# A! t- H9 K2 dAverage, 平均数
" ?- p, r! m9 R& ~/ ~/ hAverage confidence interval length, 平均置信区间长度8 D! U& p. T+ ?4 y& Z
Average growth rate, 平均增长率; b( v7 k" L/ B7 D: }- ^2 G5 n( b8 c
Bar chart, 条形图! n/ s& l7 V: g1 f! S% m+ [
Bar graph, 条形图6 J l ^" j2 [- A" P1 d
Base period, 基期
8 k# @5 Y' b7 {) jBayes' theorem , Bayes定理
0 X" D, M, \' v9 z5 V8 hBell-shaped curve, 钟形曲线
; _7 H/ P& @: {: N/ W& h& s: m# BBernoulli distribution, 伯努力分布; z& O1 z0 |1 H
Best-trim estimator, 最好切尾估计量/ U* w% h1 h- q
Bias, 偏性+ G, t4 o D; E; n% B; u4 c' J/ d
Binary logistic regression, 二元逻辑斯蒂回归# F$ B! H* _& J) S% E" h6 f+ j* A
Binomial distribution, 二项分布
. Y1 J# o( }3 z+ ^Bisquare, 双平方
7 X5 y. ^. g# v2 q9 w0 {/ aBivariate Correlate, 二变量相关
. Q' }+ ~) ?5 X& d4 WBivariate normal distribution, 双变量正态分布& R2 F: q* U- g+ b/ x C# H' {
Bivariate normal population, 双变量正态总体
( s6 Q! `( X+ \+ q' c1 N) fBiweight interval, 双权区间# }$ ^1 s3 f/ V' X5 z, d
Biweight M-estimator, 双权M估计量
7 G% ?2 c; o2 q) BBlock, 区组/配伍组5 n4 | |2 L! R; ?
BMDP(Biomedical computer programs), BMDP统计软件包
1 ?& E* v8 Q+ \# D0 HBoxplots, 箱线图/箱尾图7 @/ a' ]' _+ v, D
Breakdown bound, 崩溃界/崩溃点
# {; b' t6 X5 r* J# aCanonical correlation, 典型相关0 h9 c4 C( R( H9 j! T0 z
Caption, 纵标目
" T7 q# `7 t8 P- I' t% K9 gCase-control study, 病例对照研究
* ?& K9 _; q( M/ y( E7 vCategorical variable, 分类变量0 H9 l3 Y8 `2 G5 l3 l6 v& h1 E; ~
Catenary, 悬链线
1 D2 g3 D- ^7 C. Q+ G0 `Cauchy distribution, 柯西分布, N% ?! z* A/ E! z8 \& t
Cause-and-effect relationship, 因果关系
6 t1 o+ W, P4 q6 B; M; A3 iCell, 单元
0 {# f7 ]& ?! c$ [5 i. b" WCensoring, 终检$ ]1 `5 \3 ~0 ?1 ]
Center of symmetry, 对称中心( W Q+ _8 x$ ?! _+ W% i
Centering and scaling, 中心化和定标
5 [$ N: h3 F, Z$ A- _. q% JCentral tendency, 集中趋势9 t5 e$ l$ d5 O7 C4 @
Central value, 中心值- W4 j$ V( @. g
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测. C4 _% k2 f6 Z$ F6 z
Chance, 机遇 f- J/ |; ^ P7 L; Z
Chance error, 随机误差" S! t1 v( a2 d9 F3 Z0 P
Chance variable, 随机变量, I2 _+ g$ Z! a
Characteristic equation, 特征方程: ]( B: C" x, @# F" A; _1 k
Characteristic root, 特征根
: |' v$ h p, z) a" ?" B% a# dCharacteristic vector, 特征向量
0 g2 L/ K; d5 v1 [1 n v+ B; qChebshev criterion of fit, 拟合的切比雪夫准则
% O$ Y% f: b0 kChernoff faces, 切尔诺夫脸谱图7 \# V( ]# h6 u, `7 L8 z' J' q3 F
Chi-square test, 卡方检验/χ2检验
: u* s& G$ A( [7 PCholeskey decomposition, 乔洛斯基分解
4 ~% @, F( F% R6 ~Circle chart, 圆图
; K9 E! S6 J. r3 d2 E! xClass interval, 组距
; l- k: X% p' l; BClass mid-value, 组中值0 v* H4 B, f/ r( L0 ?
Class upper limit, 组上限, A$ d0 G) n3 }8 ]5 W6 h* I/ t
Classified variable, 分类变量! q5 r3 W. G" h* i: N7 F9 w9 Y
Cluster analysis, 聚类分析) t0 n% t& d- i# |# i1 a
Cluster sampling, 整群抽样
" ^. s- e' X7 w+ S* n' ~9 m* s5 Z" YCode, 代码3 C+ F- d3 ?! Y* D$ h7 l
Coded data, 编码数据* l* w1 ^% E* i! B$ |% t
Coding, 编码/ }) e( X! x9 H! P
Coefficient of contingency, 列联系数
0 s% j6 t; R# [! X- t( xCoefficient of determination, 决定系数% W; w5 G; Y# \' u! \6 s U X
Coefficient of multiple correlation, 多重相关系数3 P: y& J) O# a8 S8 P9 o$ s
Coefficient of partial correlation, 偏相关系数
. I0 Z, l+ W, G) ~Coefficient of production-moment correlation, 积差相关系数
! _: c* A$ u; c( c! X/ eCoefficient of rank correlation, 等级相关系数+ `8 O! p# m' @. o* ]% q& q
Coefficient of regression, 回归系数
" r& H8 g" f9 @( p& N, _Coefficient of skewness, 偏度系数& n3 i) ^: B4 b$ U
Coefficient of variation, 变异系数
; Y! p& W2 Y3 h# u7 H* m: d, j @; ]- x+ YCohort study, 队列研究
2 }7 k8 ~. \# Q8 {3 a ~# M3 FColumn, 列6 ^+ T9 E$ x, q* ]$ J! p
Column effect, 列效应! q$ Z4 D) I, G4 H6 t6 _' j* k" b
Column factor, 列因素5 I- u0 y' l6 K( V4 I! q
Combination pool, 合并
$ ^: [$ g5 a2 m' G& E0 WCombinative table, 组合表7 J w$ K5 w( Y2 M: H
Common factor, 共性因子
6 Y* s( V$ f! K; ~4 _" Y; \Common regression coefficient, 公共回归系数
! b/ x, N7 K+ |/ R9 yCommon value, 共同值5 ?5 C. K# d- H
Common variance, 公共方差7 O- [) \% q) |. e4 K0 N4 A* k
Common variation, 公共变异
+ }5 D+ [7 ~4 A t3 d$ X2 V8 PCommunality variance, 共性方差1 S/ T" ]9 y( M: ^9 N8 p; R) e8 C' s
Comparability, 可比性' |! O% R8 l4 }( z) V7 ?
Comparison of bathes, 批比较
: t, E& e1 d8 c5 V& U. L! CComparison value, 比较值4 U1 C3 f& m" R: s P) a& ?
Compartment model, 分部模型3 V b6 Z) P {1 w
Compassion, 伸缩
; ~( u6 U n5 M: F: |7 d# P8 jComplement of an event, 补事件
4 e$ {( H. J% x" @: YComplete association, 完全正相关
. |& w8 J- z J3 D. E" q) p) g$ CComplete dissociation, 完全不相关
$ x2 d) [8 w6 k5 u+ `Complete statistics, 完备统计量
; P- X. t! T& Z4 z+ RCompletely randomized design, 完全随机化设计5 ?; Q2 {$ ^9 I) E' U5 n0 F
Composite event, 联合事件% k( }. f- S8 Y2 S
Composite events, 复合事件
4 s- N9 F( \) t* aConcavity, 凹性
# H: F2 S2 Z- m- s" [8 w5 GConditional expectation, 条件期望
|: z% M/ ^ @- S! xConditional likelihood, 条件似然
$ c7 I1 g& j O' g! ZConditional probability, 条件概率
" p! q9 C& G2 a) h, t, V- W# DConditionally linear, 依条件线性9 e4 Z$ E9 y& m9 H, J6 `
Confidence interval, 置信区间
) U5 s" I7 w* m: U1 m" i2 ?Confidence limit, 置信限
. k; X# R8 F% c& c# A B4 ~Confidence lower limit, 置信下限: O' `$ K" A+ R) S
Confidence upper limit, 置信上限) O) k4 M. d, X. h( E# m* I
Confirmatory Factor Analysis , 验证性因子分析
0 I1 w6 m$ b$ c% rConfirmatory research, 证实性实验研究
6 A2 K: u( k4 O, f5 {4 XConfounding factor, 混杂因素4 u+ B7 `+ |( a5 h4 a& u
Conjoint, 联合分析
' u4 B# X0 [8 t' N+ T! t2 @5 H: ^/ wConsistency, 相合性
( b* s+ n ^) M# _$ {7 u9 m' VConsistency check, 一致性检验
3 |) k# u, f9 @9 IConsistent asymptotically normal estimate, 相合渐近正态估计$ W" K% R% a! y3 \3 v. R# `
Consistent estimate, 相合估计
1 `7 f% a# c/ \5 HConstrained nonlinear regression, 受约束非线性回归; z7 n) b$ N* x. [, V! y
Constraint, 约束1 j: c. A5 q9 I( T0 _' p9 W1 b* Y
Contaminated distribution, 污染分布
1 ~- X4 j8 W2 r$ S# d4 M4 vContaminated Gausssian, 污染高斯分布
: B( g( G. K. DContaminated normal distribution, 污染正态分布! Z: P! q6 S% j8 d. s- z
Contamination, 污染
- |. H" o4 A2 v' vContamination model, 污染模型* `, k3 P8 f: D, p7 P
Contingency table, 列联表. ^! R6 s/ B9 T: v/ T1 x' T- P/ p, h1 r9 I
Contour, 边界线
! X. ~$ H8 O4 K0 p- K( NContribution rate, 贡献率# b' z0 {1 @ }" `" K
Control, 对照1 A1 W% @2 \* P' X
Controlled experiments, 对照实验
4 f6 I' B# y+ d i ZConventional depth, 常规深度6 M- P0 g; p/ R+ x' d2 b
Convolution, 卷积9 x' f0 C) p- G9 O1 p/ x4 }1 j
Corrected factor, 校正因子
/ X; I) v3 r0 C5 K) XCorrected mean, 校正均值
8 u: W; F, g) PCorrection coefficient, 校正系数 q+ w& A) A8 F( U! b/ W
Correctness, 正确性+ u7 j, U2 e/ u( ?( s2 V2 H' f
Correlation coefficient, 相关系数
, H% l* K) k5 }6 s% Q9 `2 G1 rCorrelation index, 相关指数
* {2 [/ J6 P: Y( x$ f! ^3 vCorrespondence, 对应8 q* k% Y; c: c' Q l* H
Counting, 计数; I$ V2 Y: R2 B: _9 c+ U
Counts, 计数/频数
, I. ]1 z2 Y2 o2 E( l+ X& ~: S9 UCovariance, 协方差8 d8 n+ b6 H# M7 k6 y
Covariant, 共变
# ^8 q. Y; o1 E$ X# n1 p& z' JCox Regression, Cox回归) [# B! ?' v. H \0 E
Criteria for fitting, 拟合准则/ Y9 t2 {0 G+ N# t# O, X. Y' p: {
Criteria of least squares, 最小二乘准则
" ^5 R: ?, S* o2 v% vCritical ratio, 临界比
: u6 D5 i$ y/ _( V1 y% X4 N% ?Critical region, 拒绝域
0 S6 y1 w8 }9 y7 j; N' S& q8 \. sCritical value, 临界值
/ b$ N4 R& I) X! i) \3 ?* xCross-over design, 交叉设计2 e/ O5 ?) R0 i- J# v$ v( z" N
Cross-section analysis, 横断面分析/ b5 Q* A; H8 Y3 u$ E1 R+ |0 C2 U! x' b% L
Cross-section survey, 横断面调查 w. E' h8 y0 {
Crosstabs , 交叉表
" v& Q* Z4 F8 K; X( P, @Cross-tabulation table, 复合表' j1 Y$ J7 { n0 P! H
Cube root, 立方根$ f' q! T8 {5 _6 k, Q- S% f1 _
Cumulative distribution function, 分布函数
, }' Q( {+ s7 P& W0 g% e, z8 t; OCumulative probability, 累计概率! @( d$ X2 A7 B1 S& h6 S# J( t# Z( }
Curvature, 曲率/弯曲& a$ \1 t( {/ S. u& U
Curvature, 曲率2 _8 n; L! n+ {% |
Curve fit , 曲线拟和 0 @2 X# \8 O9 Z h( e
Curve fitting, 曲线拟合
# ^; z8 W- `* T% KCurvilinear regression, 曲线回归
, h3 C8 S8 C4 V) Q, x0 nCurvilinear relation, 曲线关系& O( y% _* r- \) a3 C
Cut-and-try method, 尝试法7 M K" D x9 t4 m8 @9 L% i
Cycle, 周期
7 w) d8 o1 T- b) \: j `0 ] [Cyclist, 周期性
5 V1 m* v8 [# V! v+ p) O. K. ?; eD test, D检验5 X8 o X6 z; E( _
Data acquisition, 资料收集
% y8 F. D0 k+ ?7 Q! fData bank, 数据库# e9 ` w R. f9 a) v4 @
Data capacity, 数据容量+ \' ^( O% `% t9 U, X
Data deficiencies, 数据缺乏2 y F" Q3 h9 r- A' S
Data handling, 数据处理
4 E1 c8 k: f* C& DData manipulation, 数据处理3 r5 C( w0 E& ^' }+ V6 R
Data processing, 数据处理
1 R4 k; |) v' X5 v- S2 G- e \; dData reduction, 数据缩减) G1 S, l( X) _, g- l$ t* `
Data set, 数据集
+ `- a" S6 {8 }Data sources, 数据来源
; r/ a( B ]: i: r% `2 tData transformation, 数据变换
x7 ?- r4 {+ [9 n3 U) ]$ XData validity, 数据有效性7 e0 X. G" _( Q& a! ^2 V! o
Data-in, 数据输入& }: g" @! G% K* j
Data-out, 数据输出! h$ _' `8 ?% ]# E9 l# l' {
Dead time, 停滞期 U& }4 C' V: D
Degree of freedom, 自由度
2 Q$ z2 M; C8 ]# a" z* A6 aDegree of precision, 精密度! n' S0 v1 E8 B6 S; b% z5 q0 U
Degree of reliability, 可靠性程度, l6 C& Z' R, s; O9 _
Degression, 递减5 q z) E$ T( n; h6 v- o9 y
Density function, 密度函数4 V$ ?0 w7 h9 y- q$ ^$ f5 x& W
Density of data points, 数据点的密度4 J2 f$ b3 n) y- i+ v4 c* |
Dependent variable, 应变量/依变量/因变量
# K. r) _; b& b$ E# LDependent variable, 因变量: g: y9 L; y$ c4 _$ S
Depth, 深度
! U' x/ A2 r, X4 N( d& ]Derivative matrix, 导数矩阵# c7 h% j' _) `$ p. x5 d) O! }
Derivative-free methods, 无导数方法' \, Y9 W& Y. W% h) T
Design, 设计- ~8 ^- N& R$ c1 |6 E5 o. X, j
Determinacy, 确定性! n4 t3 G/ x5 y3 _( C- O4 x
Determinant, 行列式; A p$ d: }' k- z' ?
Determinant, 决定因素- P6 ^$ k* G3 t- V9 O' H! [7 G/ ^) j. p
Deviation, 离差! d5 `, ]; i* h+ ]0 G- B# V" G
Deviation from average, 离均差3 B* _% q$ z( G1 |& ]/ P3 Z5 H( }
Diagnostic plot, 诊断图
0 e7 T6 ~8 ?$ C" k' _& I7 CDichotomous variable, 二分变量, i1 h9 q' F0 L z
Differential equation, 微分方程
* ^3 f9 }5 U1 V9 @. SDirect standardization, 直接标准化法
$ u/ ^% R) @" ^# I5 TDiscrete variable, 离散型变量9 o: |* o0 u. C: m
DISCRIMINANT, 判断
8 N6 q. |1 M# m5 C/ F4 q) S# mDiscriminant analysis, 判别分析+ ]6 T2 M, o: h, Z- X2 y
Discriminant coefficient, 判别系数
$ ^& W8 K& ?; _Discriminant function, 判别值
4 o/ l- z x" T7 A8 D$ aDispersion, 散布/分散度 |$ v: q- d: i- B% Q8 \
Disproportional, 不成比例的7 E5 |# G& Y% `0 ~2 G
Disproportionate sub-class numbers, 不成比例次级组含量/ E% Z1 C- u' @) r7 f Y( l4 s$ ]
Distribution free, 分布无关性/免分布
. R6 ^7 N% i$ o3 h5 rDistribution shape, 分布形状
+ v# A8 | ~" f3 oDistribution-free method, 任意分布法
- ^ S# R1 k% N2 t% i# X! ]Distributive laws, 分配律
- K; t8 l! v% {7 M- aDisturbance, 随机扰动项
$ \+ ^# a Z$ z: _Dose response curve, 剂量反应曲线, q7 _5 A. h4 Q. Q" j& N
Double blind method, 双盲法! L- R7 E4 K$ \! \& u
Double blind trial, 双盲试验: X2 w0 A( l! |- G0 q5 R
Double exponential distribution, 双指数分布
: m2 ?. q; E5 T! \$ n- J9 E6 O' Z% ]Double logarithmic, 双对数
6 z0 X$ Q, |* n% eDownward rank, 降秩
+ r2 D; A/ M) `Dual-space plot, 对偶空间图9 H0 u. r! L& ?* Z0 i6 o- l1 J0 M
DUD, 无导数方法$ _ `6 j2 H) l
Duncan's new multiple range method, 新复极差法/Duncan新法, i4 T) Y1 m6 c: [
Effect, 实验效应) D+ h6 l* d5 M/ B4 g+ @
Eigenvalue, 特征值% x3 ^, ^8 ]7 y- P0 M' H' y8 z
Eigenvector, 特征向量
- i( @1 m- j& W" K0 L4 _) }Ellipse, 椭圆. P9 B: _1 T+ K% J
Empirical distribution, 经验分布
5 z1 E# z$ A; C/ OEmpirical probability, 经验概率单位5 x5 R: ?. p) D5 t x; T
Enumeration data, 计数资料5 V8 L1 [5 I7 a% U2 E) A
Equal sun-class number, 相等次级组含量3 r) Z S% Z/ u$ f6 x
Equally likely, 等可能! `8 e* X% l4 ~4 p* ? P0 ~2 G! p5 p
Equivariance, 同变性
( g) \' l' S; _7 V' F" tError, 误差/错误1 U" r2 r) a9 H4 j
Error of estimate, 估计误差: ?6 Z& `$ _9 l, D
Error type I, 第一类错误
5 \. \$ @% z8 X9 G# hError type II, 第二类错误
+ _4 R: V+ x9 _, Q( W! b7 w: gEstimand, 被估量1 O3 K' e5 f3 q# `1 J- k* d
Estimated error mean squares, 估计误差均方' [5 S. ]1 o6 d/ b1 D( Q
Estimated error sum of squares, 估计误差平方和 i* U7 m, A$ C2 A/ R
Euclidean distance, 欧式距离
. S8 o/ L2 u/ S* ?- zEvent, 事件& p9 M; H$ K- f
Event, 事件
4 [& O! v: M4 _: F& UExceptional data point, 异常数据点% Y# h1 o- ^4 U- A, I7 v; P+ X7 Y
Expectation plane, 期望平面
" z: n& r. Q, c; ZExpectation surface, 期望曲面& N1 Q+ \6 t. _% w3 t
Expected values, 期望值
% B2 r1 Z# l* g0 Y- JExperiment, 实验
) e# f# Q o+ F% D8 b$ o! @1 p: U) bExperimental sampling, 试验抽样
3 F: F4 |! ^0 Q [5 p- I, EExperimental unit, 试验单位
/ k1 E Y; @/ HExplanatory variable, 说明变量/ R5 `6 G$ }" R) z- d
Exploratory data analysis, 探索性数据分析
, g7 y9 ?; o2 Y0 MExplore Summarize, 探索-摘要
* M# C; l- Q/ }# t$ r, [Exponential curve, 指数曲线
1 y' [, f/ }8 ?$ X% qExponential growth, 指数式增长
0 P' a1 Q( o3 Z8 qEXSMOOTH, 指数平滑方法
# j& S M& Z0 i! K8 U7 z6 B* X4 @Extended fit, 扩充拟合
& C) B/ ~0 e _- eExtra parameter, 附加参数
) j/ U, A$ ?& rExtrapolation, 外推法
$ q1 `& H* N6 n1 @& aExtreme observation, 末端观测值' H; H" n: n6 t& `) Y% C
Extremes, 极端值/极值4 v/ c- U$ e& P4 z l
F distribution, F分布3 \" S% K6 [" c3 ?% V
F test, F检验; @/ n/ _8 n+ u3 B0 B1 w/ i" P" y
Factor, 因素/因子( E. W+ O6 f/ M) j6 f. ^
Factor analysis, 因子分析
/ p3 o9 {- `5 u5 u0 z9 h5 H' lFactor Analysis, 因子分析4 B& m# b/ v; W* Q
Factor score, 因子得分
; n" c6 i2 ]/ U1 s! oFactorial, 阶乘. L4 y$ G1 a5 }- M1 h1 Y! `1 `
Factorial design, 析因试验设计
6 y9 ^% k6 F& KFalse negative, 假阴性8 B7 ^7 |# `7 e
False negative error, 假阴性错误
! [6 r* a; D7 L9 F7 ^Family of distributions, 分布族8 b, n, i0 u2 X3 W! K
Family of estimators, 估计量族
7 s7 n7 ~, p J% ?" P( k# NFanning, 扇面7 d( T9 f) P2 |6 D# [% O& b
Fatality rate, 病死率8 d6 E; ?3 Q1 E: V2 o, M- x
Field investigation, 现场调查
( {9 Q" X1 w' a, x! I8 KField survey, 现场调查. C- k. \" d7 [5 W# f+ m' E( R( p
Finite population, 有限总体1 j' h. w Y5 U4 C9 H4 Z1 w: L
Finite-sample, 有限样本
$ `) L* [$ Q2 {, E8 \First derivative, 一阶导数; ^6 B! K( p& ~
First principal component, 第一主成分
, }$ k6 F6 S1 C; Y& h9 V5 YFirst quartile, 第一四分位数
5 U7 l: w) @, u6 u! e- [Fisher information, 费雪信息量
; D" L6 t n G- g9 jFitted value, 拟合值. g5 J! w* G, P6 f0 @
Fitting a curve, 曲线拟合% | `2 k) {3 g, i* Z" h( j
Fixed base, 定基
9 B0 R1 n" W% N. kFluctuation, 随机起伏
* ?& ~9 B- A: o( T. n9 N0 KForecast, 预测
/ X5 O# x, T5 BFour fold table, 四格表+ K: w; A. N: t. |
Fourth, 四分点
; B/ z6 {- R0 F$ U pFraction blow, 左侧比率9 J/ e6 a" _ e
Fractional error, 相对误差1 |. p3 y, Y0 q
Frequency, 频率* m2 y0 k; r7 U, K$ P4 l0 A
Frequency polygon, 频数多边图1 i( q- [" I) _
Frontier point, 界限点$ [4 K5 \. S0 S7 [
Function relationship, 泛函关系8 g _3 W* o; m+ v' @. ]
Gamma distribution, 伽玛分布( Q1 i L! R) p
Gauss increment, 高斯增量
5 H5 T# j1 e4 e9 uGaussian distribution, 高斯分布/正态分布
( U+ o4 {6 \3 M7 I0 M/ D: kGauss-Newton increment, 高斯-牛顿增量
$ h A( J+ g6 M( \/ _& t* HGeneral census, 全面普查
; l( ]# {1 f) J8 P/ N [) sGENLOG (Generalized liner models), 广义线性模型
4 ]8 ~! y# B" w5 O/ t6 f& w/ r7 [Geometric mean, 几何平均数) n+ q" U' P- @4 E! C8 v3 P' j
Gini's mean difference, 基尼均差
- [) A2 B. y* d) h+ vGLM (General liner models), 一般线性模型
" \5 }! g9 I v/ `" S+ YGoodness of fit, 拟和优度/配合度
2 e5 g' O: W, V; OGradient of determinant, 行列式的梯度
# @& j0 I: v: O" b: k8 a; W2 x. S2 lGraeco-Latin square, 希腊拉丁方1 N; w( M9 ^2 X0 P. A, o
Grand mean, 总均值
6 }2 m/ V' z% D6 `% E( gGross errors, 重大错误. z' c/ A. M" A6 k' G6 f- T
Gross-error sensitivity, 大错敏感度
+ H8 i8 _* Y5 i ^; z6 \2 D" rGroup averages, 分组平均
2 F, X2 D m* u& E' _+ J3 {1 QGrouped data, 分组资料* J, n4 T0 m2 S" I n3 l
Guessed mean, 假定平均数! [ ]3 F0 R' D) ? p0 b
Half-life, 半衰期6 E; h1 s$ z. X! E5 v
Hampel M-estimators, 汉佩尔M估计量; o' s; V' \5 q0 h7 B9 ]8 J
Happenstance, 偶然事件
& O0 K% f( `$ Y; ^; A% GHarmonic mean, 调和均数
. u$ t. R y" }. K; eHazard function, 风险均数) B# g4 Q# A# T; Q3 l
Hazard rate, 风险率
+ s( \' X7 o9 J! LHeading, 标目 " d a6 \4 V& q7 o* B" D2 l/ U
Heavy-tailed distribution, 重尾分布
- f- D i5 c9 ^2 h- n% H; i3 z' wHessian array, 海森立体阵
4 `; P4 d2 i8 v" z$ sHeterogeneity, 不同质6 G# P% e" J& \0 L. P6 d
Heterogeneity of variance, 方差不齐 ' r; L& J- d y* D3 a u0 ]+ c
Hierarchical classification, 组内分组
X1 n9 q+ H! d5 iHierarchical clustering method, 系统聚类法
* F, Q9 {6 F" A- o4 M2 bHigh-leverage point, 高杠杆率点9 l# y$ x9 Z5 |
HILOGLINEAR, 多维列联表的层次对数线性模型" J# w: x) X7 c# h4 Q: J, }
Hinge, 折叶点4 O) V+ `; L9 C8 K: j+ p# l. w6 j+ m
Histogram, 直方图
1 {% r; |8 `# T( mHistorical cohort study, 历史性队列研究
6 H) Q6 U4 s1 [, B" q' E! bHoles, 空洞6 F) G! V4 [+ N: h# z
HOMALS, 多重响应分析' d5 L) H. o" X$ ^% N; g+ u
Homogeneity of variance, 方差齐性7 s5 l7 i" f% q6 l7 m
Homogeneity test, 齐性检验0 g1 q% l2 B" E$ G0 c E# y' n
Huber M-estimators, 休伯M估计量
- C3 m1 T* ?! o" HHyperbola, 双曲线8 |8 v- I8 j+ p* X" F
Hypothesis testing, 假设检验
% H! t$ z7 I2 b/ o, k& p! ^1 gHypothetical universe, 假设总体
: q) a- f. {; p. t, P- UImpossible event, 不可能事件; p- I* u7 }/ S" z4 ], ^$ c
Independence, 独立性
' p; v7 F6 }2 B& i$ Y4 k3 i6 EIndependent variable, 自变量
& a* @8 @* I6 q! U8 x2 UIndex, 指标/指数
- F( G% K2 J0 w' ^& f j8 k, N% BIndirect standardization, 间接标准化法
' d; j) O8 V7 T6 ` XIndividual, 个体
' {* y, ?( [ V/ w( YInference band, 推断带
% p6 h6 A& e: W0 C7 `Infinite population, 无限总体
; h# q* `' y1 Y0 hInfinitely great, 无穷大7 o, L) n3 \$ ^* m
Infinitely small, 无穷小
) t# ~7 W9 {& `5 p* O5 eInfluence curve, 影响曲线" C$ Y2 K5 d8 r$ c, [
Information capacity, 信息容量
. v. o* U0 W! q$ H1 ?+ Q5 tInitial condition, 初始条件, F% Q. ~2 P$ F. s0 Y
Initial estimate, 初始估计值
( B) w' n U/ _/ QInitial level, 最初水平; u& j# `5 ^/ m+ O2 |
Interaction, 交互作用. m( J( K. ~) m) D1 Y9 q: Z
Interaction terms, 交互作用项
4 a# p% `$ O" ]! E& E6 `, IIntercept, 截距
6 l5 f1 X- y, ]! Z6 h; `" D( XInterpolation, 内插法
, n2 p! n& A8 @, c& UInterquartile range, 四分位距
( J- @' U" Q$ Z8 L( w# E" fInterval estimation, 区间估计' B2 ]! ~ E1 W/ Q; ~6 y
Intervals of equal probability, 等概率区间
2 A5 P0 t1 _- [! jIntrinsic curvature, 固有曲率
3 d1 Q0 Z# f# U JInvariance, 不变性- R7 P5 J. [; a9 p& \& v: F8 V
Inverse matrix, 逆矩阵! M5 ]/ A2 z, S# M& U- Q
Inverse probability, 逆概率
1 M* s" b0 Q1 h9 jInverse sine transformation, 反正弦变换
9 M4 o4 K# |0 y5 J5 |Iteration, 迭代 ; C1 L# U, g8 [/ r
Jacobian determinant, 雅可比行列式$ X) T' X! M1 w# l8 D
Joint distribution function, 分布函数
1 ?( @5 u0 F' \2 q+ H$ v e, G4 rJoint probability, 联合概率- f1 T1 `. z" p Q. e9 o. Z3 k
Joint probability distribution, 联合概率分布
+ D2 d( _: U8 g% X. f5 `6 KK means method, 逐步聚类法
& O$ t- {+ v+ _1 oKaplan-Meier, 评估事件的时间长度
' [7 {& M2 w4 b5 m9 xKaplan-Merier chart, Kaplan-Merier图6 E6 n& u# q* ^5 B4 u4 o
Kendall's rank correlation, Kendall等级相关
: W1 o! p4 R* c2 c) EKinetic, 动力学, V: j. ^, Z" ~8 s5 c H: L& l
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验% x2 w- q6 d3 r; l( s" _
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
" I# {. o6 r3 g) R1 y; rKurtosis, 峰度
; ?( i8 Y+ x3 |" {) @- [$ lLack of fit, 失拟
$ x1 D) N% H- o( z8 @ j% xLadder of powers, 幂阶梯
( U1 F Z* x( |9 fLag, 滞后
* a, T, h1 c9 W* q' v- S# b# @Large sample, 大样本
: o: q9 K5 ?& wLarge sample test, 大样本检验' @- X% a% ~* @
Latin square, 拉丁方
) I6 @* d2 H) K6 a1 A$ \3 aLatin square design, 拉丁方设计7 F# z1 p' \+ @, `8 }2 J
Leakage, 泄漏! {% e5 L. A& ` l
Least favorable configuration, 最不利构形# p/ Q9 i, h6 j6 c5 t8 _
Least favorable distribution, 最不利分布9 {) w- }' `0 p, u) J. K
Least significant difference, 最小显著差法2 w( b, F$ K! w8 Q+ F7 x3 Y% }
Least square method, 最小二乘法7 B$ s" D' u3 |1 A$ `: \) @- m
Least-absolute-residuals estimates, 最小绝对残差估计
( u) i8 L) \0 j) Z1 pLeast-absolute-residuals fit, 最小绝对残差拟合4 _( V! L6 s h" V
Least-absolute-residuals line, 最小绝对残差线" Z8 Y, A; B0 ~3 r% d
Legend, 图例
3 Z, V# p L1 d1 O6 rL-estimator, L估计量1 G: S& O0 W3 l, i* h) V/ T# w
L-estimator of location, 位置L估计量
w; F1 ]+ X7 O1 y5 |9 b* N. [L-estimator of scale, 尺度L估计量, f9 q/ H# A V5 D: G
Level, 水平2 y" i8 z5 C/ F' D7 t# d6 `
Life expectance, 预期期望寿命2 n) ?( _) n& ^, h. H+ G7 F' k, t% ^) n
Life table, 寿命表3 i3 h" D2 ]* {2 F. I
Life table method, 生命表法8 h! a j1 h: w) B2 J9 S6 L
Light-tailed distribution, 轻尾分布+ N. q9 ~9 H, B- Y( v) D* s8 U
Likelihood function, 似然函数3 @7 M1 t4 n) Y3 M2 O" S( I& U2 V
Likelihood ratio, 似然比
5 A! ?9 E- K. c F( j. O! O# Tline graph, 线图
8 R' H2 r. B% s) ^9 r3 |% E% ZLinear correlation, 直线相关; P% ~' ?7 }2 d+ c. m' Y
Linear equation, 线性方程
" L3 h5 ~9 A- k" ILinear programming, 线性规划! o" E4 s: |) `" \- `" c2 k
Linear regression, 直线回归2 X7 ^/ V: U" b( N# d
Linear Regression, 线性回归8 @4 W6 }1 H8 `! ~/ M/ R
Linear trend, 线性趋势# f; k: }, ?' D* V
Loading, 载荷
& q8 C W0 @7 ~; v& HLocation and scale equivariance, 位置尺度同变性9 r. {; L8 C% ]9 A) @3 h5 a' e. d
Location equivariance, 位置同变性
5 B6 D- q7 G3 LLocation invariance, 位置不变性
; `* U# Z- O9 {! vLocation scale family, 位置尺度族
, h |/ u" `! L& z+ V' H+ e2 jLog rank test, 时序检验 : x0 w1 H h# d2 d5 c: U& w. n
Logarithmic curve, 对数曲线% N& V; \. g' P/ _
Logarithmic normal distribution, 对数正态分布
^, Y: O$ J5 }9 d( u, MLogarithmic scale, 对数尺度
: t9 U% c0 _* xLogarithmic transformation, 对数变换* [# [+ {* ~- l# I. N3 v& ^
Logic check, 逻辑检查0 _: Y$ g& S$ l( H9 {
Logistic distribution, 逻辑斯特分布
! {4 h7 y% Z) p! x2 z2 QLogit transformation, Logit转换
4 ]. F/ h; l5 z9 @! h& g3 aLOGLINEAR, 多维列联表通用模型
3 t' S; [5 [9 u9 y! iLognormal distribution, 对数正态分布5 f* P9 y" f0 A& {+ d
Lost function, 损失函数
+ O' {, A% a( Q6 P1 L6 mLow correlation, 低度相关
$ }7 f: o/ l# T6 C0 H( m9 _Lower limit, 下限
! ?' p7 s) ]& `8 ?' J# ^Lowest-attained variance, 最小可达方差
5 |9 V! }2 D! I6 Z0 d7 pLSD, 最小显著差法的简称 E2 [1 o9 Q; w. ?2 u @
Lurking variable, 潜在变量
7 u+ |' V0 u) w0 U' [5 `; jMain effect, 主效应
* ]% A4 R5 o9 C+ ?$ pMajor heading, 主辞标目
' j/ L& Y w& h& X9 ~Marginal density function, 边缘密度函数) t, K0 j6 u* @8 u% O' s# @
Marginal probability, 边缘概率1 n( U( x- @6 ^- H0 Y% K
Marginal probability distribution, 边缘概率分布% i# @" D* z% j
Matched data, 配对资料9 {' z% o% Z! M d+ o
Matched distribution, 匹配过分布
0 l& f! q* @3 f- d- Y2 }# J' V! IMatching of distribution, 分布的匹配' r$ W. I1 x; C0 c: V2 e( \2 k
Matching of transformation, 变换的匹配% Y/ A- H0 I7 n# Z1 X
Mathematical expectation, 数学期望
8 D2 }- S, a aMathematical model, 数学模型' T" @1 O0 R7 J/ S8 v7 E/ H
Maximum L-estimator, 极大极小L 估计量
3 _; O* ^# v, e& h+ PMaximum likelihood method, 最大似然法0 K5 h6 @* m& O" s+ c
Mean, 均数
3 G$ Z9 ~( R: {- DMean squares between groups, 组间均方, Z- B; e3 Q: ?( I7 }: W& {# G
Mean squares within group, 组内均方3 Q1 I g1 K, K" A. f: ^" M
Means (Compare means), 均值-均值比较
0 W+ t& b# ~, ^( C- OMedian, 中位数
9 v; \, R' F& P- p0 i! k @Median effective dose, 半数效量2 m+ O: d/ f2 h; [5 k( _5 V
Median lethal dose, 半数致死量
" Y A: q1 _0 F& L8 N% NMedian polish, 中位数平滑0 Y1 P* H, p( a
Median test, 中位数检验+ q# y9 o" X; |7 |+ X
Minimal sufficient statistic, 最小充分统计量7 S) J* i9 \) H% O5 W/ a. b
Minimum distance estimation, 最小距离估计
( A+ d6 C: |+ Z+ d2 C# a7 A; J0 rMinimum effective dose, 最小有效量* X6 S6 n7 J3 ~$ v, h* H! R' E; R
Minimum lethal dose, 最小致死量! W; h# }' r, ?5 b5 u! v
Minimum variance estimator, 最小方差估计量
) L' M0 w3 m; yMINITAB, 统计软件包0 G8 q, i2 [" w k( X$ j; }
Minor heading, 宾词标目
4 c A" \/ E) z: h% k& D% {% o. ~Missing data, 缺失值
8 n; E0 q+ s5 ]! d6 D' l, ^Model specification, 模型的确定
. \) n; R8 |4 `4 M5 k/ jModeling Statistics , 模型统计
- @/ `- |7 p; @/ Z- sModels for outliers, 离群值模型 m, q0 j3 ^) t- _* \# P' K
Modifying the model, 模型的修正7 W% t- h+ \; N: p
Modulus of continuity, 连续性模
2 y4 O; G1 y1 Z' ?- t$ ^Morbidity, 发病率 : S3 q0 G; n" J, H2 h6 f4 ]& y
Most favorable configuration, 最有利构形
_# s' q. T3 o! b$ nMultidimensional Scaling (ASCAL), 多维尺度/多维标度
2 L; |# |! t/ v. G |Multinomial Logistic Regression , 多项逻辑斯蒂回归
! G; L7 @% G" L, WMultiple comparison, 多重比较
, P. }9 |9 D& U5 ^& w. d* {Multiple correlation , 复相关
: z# j( f( z1 A! F* WMultiple covariance, 多元协方差
; O [! Y1 K0 R6 O$ V! z% C# qMultiple linear regression, 多元线性回归7 w& L. w1 {+ \1 m: j
Multiple response , 多重选项
' ^2 U' s6 ?. |Multiple solutions, 多解 O) H, \: K+ ?' d; Z) k9 K
Multiplication theorem, 乘法定理
5 f: ^5 f( ]+ w eMultiresponse, 多元响应8 i3 F. M. P) @- u8 D8 j
Multi-stage sampling, 多阶段抽样* o3 x* V0 ^" W% l4 E& V
Multivariate T distribution, 多元T分布
) x7 w- @% ]8 O5 T" f+ ~9 KMutual exclusive, 互不相容
9 ?2 z8 _; e, y! q- t8 F1 y7 Z: CMutual independence, 互相独立
+ V: j- ]+ E; LNatural boundary, 自然边界
/ [4 C- H9 p- o Q" F5 aNatural dead, 自然死亡
0 z' ~3 a5 ^3 n, H" F% \* qNatural zero, 自然零
$ y+ v% @# q* }- m" x" GNegative correlation, 负相关
: W; t: Z3 h$ kNegative linear correlation, 负线性相关
; e% A7 ?- `, UNegatively skewed, 负偏: b6 ^3 C5 q2 ]3 P5 K
Newman-Keuls method, q检验8 M7 A! @/ |' m
NK method, q检验
. y8 ]. k9 m9 z; o1 Y! Z, I7 NNo statistical significance, 无统计意义
( _+ ?5 X! d" yNominal variable, 名义变量
_& G# A0 S: v* G% v2 ?. O" F" UNonconstancy of variability, 变异的非定常性) ]# Y( B, z1 M7 I" Y+ x' }2 `
Nonlinear regression, 非线性相关
6 J* J( U" w" t/ r0 DNonparametric statistics, 非参数统计. s- N* V# \* G: B
Nonparametric test, 非参数检验, s3 M) m6 @; }4 t; E5 c* m
Nonparametric tests, 非参数检验3 @" J% N) F# z5 K; `1 p# b
Normal deviate, 正态离差9 R1 `4 G; k6 }& C6 x# V
Normal distribution, 正态分布: ?$ A- D) J) }. f8 W0 V+ y
Normal equation, 正规方程组/ _+ j2 X! X/ B/ L
Normal ranges, 正常范围: } z, l5 Q9 J f6 o
Normal value, 正常值# S$ ~! m" G% \8 e5 q, R/ H# t) d
Nuisance parameter, 多余参数/讨厌参数
! D, X3 {/ |4 E% l+ _Null hypothesis, 无效假设 & J, e+ S, S7 ?% V8 d( M9 x' M
Numerical variable, 数值变量, y) H- w9 f( v& {% L
Objective function, 目标函数
5 f' l5 K3 z) L/ ]4 B( [Observation unit, 观察单位
N q4 Q* M6 I6 u" gObserved value, 观察值& e9 O6 u' n# l N% ?8 Q
One sided test, 单侧检验% h, j( e! z% b) C
One-way analysis of variance, 单因素方差分析2 {8 I" \, b1 r% z
Oneway ANOVA , 单因素方差分析
4 K$ y, ^9 g7 q$ u# [# a6 hOpen sequential trial, 开放型序贯设计
* S V- z" Z, a# HOptrim, 优切尾
J: |; }# }1 u6 R/ N# Q8 lOptrim efficiency, 优切尾效率
6 N3 {; I/ f: \* V7 G! v. R/ Q' kOrder statistics, 顺序统计量
7 G; @# o6 v: R- x" e7 Q" @+ HOrdered categories, 有序分类$ O% Q0 T' S; ~$ e
Ordinal logistic regression , 序数逻辑斯蒂回归8 _# K( H# G' w! c! B
Ordinal variable, 有序变量3 @& `) }$ \* s7 Q3 w
Orthogonal basis, 正交基
( \! t' } R. n% Z2 I/ DOrthogonal design, 正交试验设计
9 E& |2 X* @, W# s( _ sOrthogonality conditions, 正交条件
& v @) c/ [4 XORTHOPLAN, 正交设计 ( x7 H5 V+ f: T- o" s# s! t1 o! |
Outlier cutoffs, 离群值截断点4 N8 Y2 \4 C5 A; l2 a
Outliers, 极端值: k. U* S# C T7 ~+ a' U* a
OVERALS , 多组变量的非线性正规相关
; Z4 ?7 _2 j% e8 Z: J& y6 KOvershoot, 迭代过度) k2 u) d# I2 D3 n: _
Paired design, 配对设计& J9 g) k$ k) ~5 F) Y! L, d
Paired sample, 配对样本
, K% c9 e, C4 s1 JPairwise slopes, 成对斜率
8 J! Q( n0 k' G& ?# eParabola, 抛物线
4 U' A( u2 y9 t# D1 X+ fParallel tests, 平行试验
- V3 F+ J/ Y# o; }Parameter, 参数2 F: j L5 C2 x& a. P9 C, c1 |
Parametric statistics, 参数统计
: C+ k) h6 n. l* T" e3 A3 pParametric test, 参数检验2 [5 S! M7 |: E. a4 J
Partial correlation, 偏相关8 g i7 I+ s! h% v+ }$ a" {
Partial regression, 偏回归+ o" W2 j, g0 j" E
Partial sorting, 偏排序
0 J* h& D. b6 m9 a% \' Y6 E. YPartials residuals, 偏残差; Y/ H$ F3 n7 m1 ^
Pattern, 模式$ G# V- I" \" x
Pearson curves, 皮尔逊曲线5 S6 P2 o R* i
Peeling, 退层
# P/ [/ A" ?6 `9 r; APercent bar graph, 百分条形图9 e" b; L! v6 V# x) y- t
Percentage, 百分比
2 f5 p; r# E* l( a9 B& _6 ?$ KPercentile, 百分位数' D4 [, h# } u, q9 J+ e6 w
Percentile curves, 百分位曲线& V( q% e/ P [0 D% l- q
Periodicity, 周期性
, C) G( A+ M) U/ s, rPermutation, 排列
. r a- p# M7 j3 d, @P-estimator, P估计量1 Q: \% ~+ p7 Z, F( T
Pie graph, 饼图
! d+ u; y! h* D& U# G' x- h; e) pPitman estimator, 皮特曼估计量
9 T+ T( A- o9 _, R2 i* c Q2 J9 y' a, KPivot, 枢轴量
8 `; c) K% @9 jPlanar, 平坦# Y" q) C% @4 w4 d. @. v# X: V: l2 E
Planar assumption, 平面的假设
0 h: _! _. ]7 v T0 LPLANCARDS, 生成试验的计划卡
1 \0 C) v* I7 g5 w B4 F+ c q5 OPoint estimation, 点估计
+ x) T8 B: Y8 e9 } IPoisson distribution, 泊松分布! q3 A( S5 Q# P) F) C1 d
Polishing, 平滑
5 E% ]2 Y2 U$ p7 UPolled standard deviation, 合并标准差
% C$ C, C% @1 L. @8 t$ \Polled variance, 合并方差3 D* f$ b# ?& F9 q2 V
Polygon, 多边图
8 I" L2 ~# x; j6 F/ ZPolynomial, 多项式
' I8 u. l# o' p* U) I2 k7 lPolynomial curve, 多项式曲线1 H" E, ~1 Z2 q" @, [
Population, 总体8 _* h5 n- y" U& {6 E+ ]; X3 W
Population attributable risk, 人群归因危险度
0 U# \3 w6 E4 Y4 l3 c& K/ r; DPositive correlation, 正相关 c+ }- R3 u& p
Positively skewed, 正偏
$ i0 e# v1 E e$ x8 ~6 F1 ~ oPosterior distribution, 后验分布
( P6 Q* P5 s JPower of a test, 检验效能1 o( f1 Y w5 t$ B" d
Precision, 精密度
# l, B9 A$ Q! }- S' F1 @2 B! GPredicted value, 预测值% `& Z; `: V* y2 n c0 r/ f; U
Preliminary analysis, 预备性分析" z/ w) l, g% O- e! H& ^* Q
Principal component analysis, 主成分分析- F" ]5 c+ `( C
Prior distribution, 先验分布
3 C1 d: g G0 U t wPrior probability, 先验概率1 x8 R. {/ L3 m4 X! E8 i
Probabilistic model, 概率模型! ?, G' j" r- A: W( L* d, M
probability, 概率
% E1 [( s2 N: b( P" CProbability density, 概率密度
9 C! l# c$ @& e7 JProduct moment, 乘积矩/协方差2 R: o% @) N! ~ W
Profile trace, 截面迹图
9 V k9 n1 g" w# g0 Y1 N; m( yProportion, 比/构成比
7 x% n1 A( x+ [6 U5 ^Proportion allocation in stratified random sampling, 按比例分层随机抽样
! Z0 B; `1 d9 S" ~5 h- nProportionate, 成比例, d& j1 [5 \2 i6 p( W# W4 `% }1 l* ~
Proportionate sub-class numbers, 成比例次级组含量+ r; @# C' }$ V0 T- ]; S
Prospective study, 前瞻性调查4 s/ m! V# M1 Q( x7 I- s
Proximities, 亲近性 & g# e* j& P& N- m0 F
Pseudo F test, 近似F检验
' s+ f/ Q6 x# X. b P. ^( p2 mPseudo model, 近似模型
% y; C& ^3 b2 mPseudosigma, 伪标准差7 y( e5 @2 @4 V ~1 _# J* f6 M
Purposive sampling, 有目的抽样
v8 R! W* U, v2 I) S( EQR decomposition, QR分解: Y. ?6 _. U' n9 R6 K+ F* w
Quadratic approximation, 二次近似: c* M& ^) b5 P/ T
Qualitative classification, 属性分类1 p& ?% l) j" B% n" @$ q
Qualitative method, 定性方法) T4 m; g7 C( n2 o' B
Quantile-quantile plot, 分位数-分位数图/Q-Q图! r) k0 W7 v- S, y
Quantitative analysis, 定量分析( I7 J! _" B: g$ t/ ~- g9 N
Quartile, 四分位数* k: m3 \+ @$ g4 I) o8 }9 G1 [
Quick Cluster, 快速聚类% i# G \1 l! j" Q/ |! g
Radix sort, 基数排序: H( N6 h8 Y& B! o$ b$ `) O/ V
Random allocation, 随机化分组
5 t1 t6 O0 d1 B d# v/ Q9 oRandom blocks design, 随机区组设计" Y5 |* R" h l/ k2 }
Random event, 随机事件 D1 y" y2 ~ v% }- L
Randomization, 随机化5 k6 o7 J3 R+ b. k9 i# y& ^
Range, 极差/全距6 n, C9 g! C$ X) @
Rank correlation, 等级相关
, R6 V5 d% x: fRank sum test, 秩和检验
+ ?8 G: q: D5 t8 |( p% e" cRank test, 秩检验: ~8 M$ A! n4 B0 o
Ranked data, 等级资料
7 v" k! L) z; M4 P# PRate, 比率
0 |4 r6 x% Q9 q7 s/ aRatio, 比例4 }0 S- V, {. l$ m
Raw data, 原始资料- A) ]; r9 p B# k) O' U' w1 B" P, {0 M
Raw residual, 原始残差4 e# ^9 L7 R o4 Y. H. O8 H4 Q2 E
Rayleigh's test, 雷氏检验6 ]# G* \! Y0 A: H0 F0 l6 @ k% o
Rayleigh's Z, 雷氏Z值
* k6 ]) e4 O* [$ e2 ~* D+ QReciprocal, 倒数
- P; b: }& Q7 U: I8 I8 f( TReciprocal transformation, 倒数变换
# y2 h) |: L" XRecording, 记录
+ ~( i7 w7 F2 KRedescending estimators, 回降估计量/ O$ M/ b( K/ r# d$ Q' D
Reducing dimensions, 降维
% p6 J; l/ c; M1 r5 h" a: i# o% dRe-expression, 重新表达
9 B9 t3 n5 R; ~$ ]Reference set, 标准组
8 z) ]' M7 ?8 C4 J* d3 y' g4 iRegion of acceptance, 接受域
; z# S$ x) F [8 s7 }2 ]4 PRegression coefficient, 回归系数
0 H/ ?- @5 P' c. E- F3 nRegression sum of square, 回归平方和
' c h3 Z, e+ C& m9 H% l2 |: }* CRejection point, 拒绝点, K1 h( V8 d! R0 O* S
Relative dispersion, 相对离散度- y6 C; H* q' L) u( \! G9 I' x: N
Relative number, 相对数& F2 `% P+ @1 Y$ r! I8 q/ y# p
Reliability, 可靠性# O+ E$ V1 `, I: @
Reparametrization, 重新设置参数- `: h4 X& [4 |: @. M# D: C
Replication, 重复7 L+ Z& {: \" P& q0 h5 h
Report Summaries, 报告摘要
/ o# T$ ^* P. }% W9 z5 U4 [Residual sum of square, 剩余平方和
6 {8 \. }: C0 PResistance, 耐抗性
$ ^7 J7 o3 T3 S+ GResistant line, 耐抗线/ I- ]4 n; s4 z. l+ {! G
Resistant technique, 耐抗技术
: T E) T! L; r7 ER-estimator of location, 位置R估计量
( N3 i% {) M$ c( w1 b# ZR-estimator of scale, 尺度R估计量9 m5 S6 Z' I% Q! q i* j6 ^
Retrospective study, 回顾性调查
& _0 J& o4 ]8 q# O5 A. H" IRidge trace, 岭迹4 ?' V9 X% Z. A& s8 v. M: a
Ridit analysis, Ridit分析
6 P8 Y' I8 F& a& `Rotation, 旋转
, O1 t# C# [) @" xRounding, 舍入
, F" J% W9 \( rRow, 行- r6 i% F8 j+ {
Row effects, 行效应
5 J) o% y% d- c( B) hRow factor, 行因素
/ E {% B+ S6 j+ SRXC table, RXC表
) C6 ?6 }" i7 X; q+ s% j0 dSample, 样本
/ |0 d6 J8 E nSample regression coefficient, 样本回归系数
' k7 B6 k6 P- U0 Y0 E+ C9 B8 XSample size, 样本量
9 K q3 t7 m- p5 DSample standard deviation, 样本标准差
5 B% W+ H$ a" pSampling error, 抽样误差
! N/ p8 u1 W% t; k% u j9 q) XSAS(Statistical analysis system ), SAS统计软件包
$ q9 E9 e T0 h! XScale, 尺度/量表; H6 s& e2 p" f9 J& r
Scatter diagram, 散点图
9 @3 F! x) \* w$ a. fSchematic plot, 示意图/简图
4 @( z! {# O) Q x, k' l3 g' `+ ^Score test, 计分检验7 ]7 l# O8 B0 H p# q: F
Screening, 筛检, L% T, R8 z1 h
SEASON, 季节分析
2 Q# W; s0 i7 Z$ @Second derivative, 二阶导数0 {5 ^8 V: i3 p; l( z, q- t3 e
Second principal component, 第二主成分
& \( S& J! P) _7 v6 v- E6 USEM (Structural equation modeling), 结构化方程模型 - T& t0 z) e, }
Semi-logarithmic graph, 半对数图$ A1 T, D' r p4 M* L
Semi-logarithmic paper, 半对数格纸
' T7 B2 ?& Q5 OSensitivity curve, 敏感度曲线
/ V1 m ?- U. }2 V$ S0 U8 _' q/ rSequential analysis, 贯序分析3 T, v( U6 r3 x
Sequential data set, 顺序数据集! ~. d4 \ H; Y$ J5 d, Q" K
Sequential design, 贯序设计7 c. H7 P! A8 V/ |' e' u* J
Sequential method, 贯序法& }! l: m- j- S- e
Sequential test, 贯序检验法
* Z) I% a3 z0 P0 W6 {. I* \Serial tests, 系列试验$ V% U1 O& p- \; s" k0 p0 Z! @8 l0 T& a
Short-cut method, 简捷法
" R& u9 X/ t! b# N' sSigmoid curve, S形曲线' ]1 h4 q- g% I1 {+ @4 ~3 e1 A/ @
Sign function, 正负号函数7 k, @ x/ f# c% i) H
Sign test, 符号检验
1 p7 B% r \! O; ~" u, h8 nSigned rank, 符号秩
* `% O0 r; p/ Q' GSignificance test, 显著性检验
& Q6 B; @/ X8 e8 D n# i' Q) G: HSignificant figure, 有效数字
9 U, w/ Q, f' `- d! v$ ~6 aSimple cluster sampling, 简单整群抽样" U$ o$ v3 W9 j, R( d
Simple correlation, 简单相关, t1 M+ i- c U$ K( F
Simple random sampling, 简单随机抽样9 F" O2 g" L* t
Simple regression, 简单回归3 X. Z% p5 _1 d5 b6 X1 R
simple table, 简单表, l- w3 } j5 b5 |8 B, w! M) x
Sine estimator, 正弦估计量$ i/ H3 F& i& b3 ?" o+ d
Single-valued estimate, 单值估计) K; L0 W; @# C ~% ~: P( Y
Singular matrix, 奇异矩阵/ F7 r: D1 e# L4 a& g
Skewed distribution, 偏斜分布5 G- M+ U# a7 X
Skewness, 偏度& _8 N* B" A" r& q g% {
Slash distribution, 斜线分布
S4 b# r+ t: @8 t9 SSlope, 斜率: `7 d+ X" N# t- N" T+ x3 a
Smirnov test, 斯米尔诺夫检验
. [5 L! a7 C4 K" PSource of variation, 变异来源
# t: X. e$ c( G# C, c4 N; b) ?Spearman rank correlation, 斯皮尔曼等级相关 |$ w- e; a+ A7 h$ O% c4 Q
Specific factor, 特殊因子0 Z5 Z" z1 S: g3 n. T8 C3 w' j# F3 Q
Specific factor variance, 特殊因子方差) h7 y$ _* @$ G0 U+ @5 ^
Spectra , 频谱
" c# V0 t8 k3 r& x( `$ HSpherical distribution, 球型正态分布
( P$ _! i1 |5 B6 `6 k" k' d+ rSpread, 展布
7 U7 n: ~. K1 _( a! f1 iSPSS(Statistical package for the social science), SPSS统计软件包
1 \+ P, y* j; Y( c6 VSpurious correlation, 假性相关8 H0 D8 G4 Z0 U, S# b$ a0 ^
Square root transformation, 平方根变换$ ?8 x# m* V Y' `4 e+ e# C3 U! j
Stabilizing variance, 稳定方差
3 e8 B( q# p! G* K, X" C) J1 h5 eStandard deviation, 标准差+ s! b+ h3 N" o P' ]9 _
Standard error, 标准误
) t8 T/ j/ d i, |. e; O# GStandard error of difference, 差别的标准误( A" C% I5 X) m- y7 }
Standard error of estimate, 标准估计误差
0 J9 T- l* C6 c9 gStandard error of rate, 率的标准误
; e: J4 d, ~; q! h; N- jStandard normal distribution, 标准正态分布
! [+ c) H4 Z, e+ z" uStandardization, 标准化
8 y; k8 x1 n" ~1 n( TStarting value, 起始值
, u5 L/ l' R. ~- b$ g: s( HStatistic, 统计量
( @7 n# L& B ?, d ]* \7 u, T1 dStatistical control, 统计控制$ f6 c! b7 y2 A& Q. o5 z; K6 N
Statistical graph, 统计图
. m9 H# G+ B% i# E$ G: u8 pStatistical inference, 统计推断
- ^7 ?( m7 ]- A' dStatistical table, 统计表 F/ v; K5 S& R G
Steepest descent, 最速下降法
9 X- B3 R9 v) ?- Z; V- ?; iStem and leaf display, 茎叶图
. }5 M. e! L Y6 r; B& h1 B; gStep factor, 步长因子. [7 G; O9 P5 e/ h" V" A
Stepwise regression, 逐步回归, w# u: g! u) M
Storage, 存* K- g, a2 b/ b N7 ~5 N
Strata, 层(复数)$ d, h N+ {0 x2 n+ c1 s
Stratified sampling, 分层抽样! b' f7 {5 }" Y
Stratified sampling, 分层抽样7 `. d2 g ~5 W7 ]* V, D
Strength, 强度+ l, X4 ~! q! w s4 B5 F% T% F8 c
Stringency, 严密性
$ \3 C7 p J Y. f% t: }Structural relationship, 结构关系/ E& w t5 T% T
Studentized residual, 学生化残差/t化残差
6 ?) C$ l3 I# b; q% ySub-class numbers, 次级组含量
" m% ^9 A4 l" o b: OSubdividing, 分割
$ c+ a# c$ y5 ~. x1 ?3 z! O4 u) ASufficient statistic, 充分统计量: C i- G" F0 @# ]1 M. p1 p5 P
Sum of products, 积和
) [3 f+ W3 X) G0 ~2 QSum of squares, 离差平方和9 W+ v7 H# Q. e* z. I' q/ g2 A& j
Sum of squares about regression, 回归平方和% f% o0 M% b$ }1 }, U0 }0 d+ W
Sum of squares between groups, 组间平方和9 n* h8 E* S% u8 D0 }# p3 B: g
Sum of squares of partial regression, 偏回归平方和
. }8 g9 T U& |# qSure event, 必然事件1 b# c V6 p0 L+ W
Survey, 调查; x/ ]0 S0 ~: P
Survival, 生存分析
0 G8 t% W6 B! V' n; m3 nSurvival rate, 生存率" o V" Q2 y8 [% Z- z5 W
Suspended root gram, 悬吊根图
. J0 V, @7 X. W. dSymmetry, 对称1 w& y. y8 a/ q
Systematic error, 系统误差- L; u4 k( i3 J0 H+ D
Systematic sampling, 系统抽样/ C- t6 _; U9 v- e
Tags, 标签' s$ i1 Z- D* {' g
Tail area, 尾部面积0 F- w( E0 K+ T4 j7 v
Tail length, 尾长+ N/ q6 d" r! H6 y' y
Tail weight, 尾重+ H# q. \* r7 S# ?
Tangent line, 切线
0 v3 _3 Z, W/ K( T" d, JTarget distribution, 目标分布
! w1 C" i+ e8 M' \, b3 u0 ~Taylor series, 泰勒级数; X$ Y2 T# e6 p" d6 W& l% W
Tendency of dispersion, 离散趋势
8 z+ j; o4 T3 y/ f7 m9 [Testing of hypotheses, 假设检验
+ Q4 {5 v3 H ?' F4 u. U2 HTheoretical frequency, 理论频数( p& w7 e. N V, g
Time series, 时间序列6 w* w( m- d- T8 P4 J
Tolerance interval, 容忍区间
' l% D( S5 p; _3 f$ B% t, T0 ?! ~) kTolerance lower limit, 容忍下限
g. |3 M) {/ M$ p+ WTolerance upper limit, 容忍上限
" |" @0 `! u9 B0 Z# D. d' v. dTorsion, 扰率& K D! J, I5 _7 p
Total sum of square, 总平方和
' ]( f" N" b( E7 P! TTotal variation, 总变异
2 T) V1 t3 Q* [( hTransformation, 转换
& Y8 P d9 Q+ i; U6 f; j& c% ~. e$ dTreatment, 处理+ `- x6 Y( A0 E
Trend, 趋势/ W. [+ y T8 c+ q6 R! y6 m3 r
Trend of percentage, 百分比趋势& F+ K: y3 }! _( O- k: v9 V1 e* }
Trial, 试验
7 D9 [# z0 r+ E6 ?8 }& M; z% _Trial and error method, 试错法
/ Y( l2 N% T; B! ]* lTuning constant, 细调常数
4 N& x2 z! f3 ~" fTwo sided test, 双向检验4 b6 a" J) y; |! e3 M+ T6 C3 x
Two-stage least squares, 二阶最小平方) J; B* _$ ~9 E0 a. f
Two-stage sampling, 二阶段抽样
5 l9 n# Y2 r0 J2 |- S' QTwo-tailed test, 双侧检验
7 ~" x' b/ ^! j) y0 B6 O) [9 U) zTwo-way analysis of variance, 双因素方差分析
% A+ l" l9 _ |$ {; d: WTwo-way table, 双向表
8 D6 f, ]5 A2 {" O' c% v6 }Type I error, 一类错误/α错误3 I0 Z& w7 y/ t7 w. ^ L# m
Type II error, 二类错误/β错误( l, c# |9 W) X, d3 B) U5 }! q7 }& g
UMVU, 方差一致最小无偏估计简称
! e1 Z$ g- [) X/ M! `2 mUnbiased estimate, 无偏估计
2 y1 k! ~! d6 [Unconstrained nonlinear regression , 无约束非线性回归
+ Z! ]; s- p9 LUnequal subclass number, 不等次级组含量
# L$ F/ n/ U3 o# R* y6 gUngrouped data, 不分组资料
$ M& Q! M1 I( B; K7 r1 r8 `9 iUniform coordinate, 均匀坐标
3 P- N+ o0 X8 L3 [: L v8 `Uniform distribution, 均匀分布
7 L) ]4 w4 C) Z- q1 p8 LUniformly minimum variance unbiased estimate, 方差一致最小无偏估计* x/ P: n* H. B8 Z- F% {7 a D A
Unit, 单元
& V) _. v1 B0 l3 }( n9 TUnordered categories, 无序分类
$ _7 q8 N& B' U# m% PUpper limit, 上限6 ~! M. Y* Q' C) z' D5 \' g6 N* Y- t" z
Upward rank, 升秩
/ J# E6 x0 ^3 Y5 B2 `& OVague concept, 模糊概念
6 u! w0 o! O6 P' k8 j0 T4 u: @Validity, 有效性
' F& y- z# [+ R3 V: z5 j% e {VARCOMP (Variance component estimation), 方差元素估计' O8 c! t: f1 x( r S! H" S
Variability, 变异性* D1 k {" x8 D0 t
Variable, 变量
# {" p' M; L( WVariance, 方差
; \, I0 l. e9 b% }; j8 S* t4 b7 L7 XVariation, 变异/ R. `" W0 `9 |7 Q
Varimax orthogonal rotation, 方差最大正交旋转
8 a8 ?2 S# `: z9 ^3 u. s7 RVolume of distribution, 容积) a& Z3 Q S1 p9 y: O: k
W test, W检验/ i' C+ u! X3 U4 z6 h: s$ U% f
Weibull distribution, 威布尔分布6 ?- Z A* x, ?2 m3 T
Weight, 权数
9 P: o: z. ?; nWeighted Chi-square test, 加权卡方检验/Cochran检验1 y- \7 n @4 p# M" C- s
Weighted linear regression method, 加权直线回归
+ Q4 r+ n5 p* _+ lWeighted mean, 加权平均数
* p* z7 O Z$ _6 l* x* m: gWeighted mean square, 加权平均方差) J8 l" `% |. s/ o# ]
Weighted sum of square, 加权平方和' S9 j6 N1 R) z7 [. V) f, V
Weighting coefficient, 权重系数* I! }1 A" U" B
Weighting method, 加权法
" J. t! B6 Q& T6 nW-estimation, W估计量
, u1 }$ q9 h$ i5 \( f3 l* zW-estimation of location, 位置W估计量
4 i# {. V: s$ `* r7 Q' {Width, 宽度 O2 L1 b/ {) f. s( ]6 H
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
, o Y- W, Y8 J( D* CWild point, 野点/狂点
! Q* Z1 H8 Q; B1 q* b$ A+ m8 rWild value, 野值/狂值0 ]* D, o; r8 Z$ g3 o' t" d$ S4 i
Winsorized mean, 缩尾均值
5 x% S% R& k. aWithdraw, 失访
- `. J4 Y x+ w5 s0 u6 uYouden's index, 尤登指数) Q; e/ {, Q) |6 k7 j' @
Z test, Z检验
" E9 i- m$ t3 i1 z2 z, gZero correlation, 零相关) i7 _6 M& ^% ~1 q" n6 X5 p7 `. U; b5 E
Z-transformation, Z变换 |
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