|
|
Absolute deviation, 绝对离差/ ~* [ h+ y6 \ h
Absolute number, 绝对数2 [- D7 A+ y8 h9 P2 ~7 p3 A- w
Absolute residuals, 绝对残差% F7 z2 f, [$ s9 X- W
Acceleration array, 加速度立体阵
3 B5 y$ ~. x/ H+ K6 LAcceleration in an arbitrary direction, 任意方向上的加速度
* [ y. H4 Z2 \- ]7 G8 {: ^Acceleration normal, 法向加速度
3 f- O" S3 o7 m% g: s# HAcceleration space dimension, 加速度空间的维数6 Y+ y3 E' p" S0 q
Acceleration tangential, 切向加速度( q) D% w1 Y2 B2 q/ [/ x& u( B
Acceleration vector, 加速度向量
1 m" h3 |' G6 B, t3 i" k8 a# ~# LAcceptable hypothesis, 可接受假设9 Z+ w4 \, u N) D2 ?7 D
Accumulation, 累积
% K3 Y; L/ I0 e1 ^+ \0 mAccuracy, 准确度. _: l9 k$ Y5 e$ B
Actual frequency, 实际频数
3 c: O+ M0 {* h5 v! ZAdaptive estimator, 自适应估计量
, [7 f. K2 }/ Y NAddition, 相加- N! s y; X: ~/ W( i1 h
Addition theorem, 加法定理' G8 A9 L/ d9 h( Z: T
Additivity, 可加性
8 {; D! Q. Y: wAdjusted rate, 调整率
" A- Q* Y/ z6 s6 r5 C8 GAdjusted value, 校正值
9 P* J; t, Z9 m, DAdmissible error, 容许误差3 ?6 I( Z9 I9 q. T
Aggregation, 聚集性9 B+ b0 o( a' E k* J. y
Alternative hypothesis, 备择假设
6 L) X$ F0 B$ T- fAmong groups, 组间
. v: |% G3 O- p+ {3 M' UAmounts, 总量
$ A5 }1 d0 `; y+ q% e8 z. G- Q& `Analysis of correlation, 相关分析& I/ [6 i0 V4 H8 w2 O
Analysis of covariance, 协方差分析$ D, r3 i3 E' y% G+ U. ] @! e
Analysis of regression, 回归分析* V$ t( u a: u( O3 k; N
Analysis of time series, 时间序列分析' [2 \$ z7 Z5 L$ H9 S' I
Analysis of variance, 方差分析& e% k u5 _$ h: R+ ^& d+ `9 X" r
Angular transformation, 角转换
1 }; _1 p, t9 o! F2 v0 ]: cANOVA （analysis of variance）, 方差分析
6 [- }8 y' T+ I8 M5 [0 xANOVA Models, 方差分析模型
- d7 Q4 G3 v; NArcing, 弧/弧旋
# W" A+ q7 Q1 bArcsine transformation, 反正弦变换
' `5 ^, [' G( ~' V, O4 n( qArea under the curve, 曲线面积
* f u6 q) S0 n; b- Q# V; uAREG , 评估从一个时间点到下一个时间点回归相关时的误差 2 |. K" s' k- _7 y
ARIMA, 季节和非季节性单变量模型的极大似然估计
3 \. T* w# S! {: H9 PArithmetic grid paper, 算术格纸
8 u; |# k+ ] I! O- j1 [7 EArithmetic mean, 算术平均数8 p* w2 s* F/ g" l* T' l$ E
Arrhenius relation, 艾恩尼斯关系
6 g& n, ]: }9 k9 N! A6 nAssessing fit, 拟合的评估
, ~! o2 h& w* N' MAssociative laws, 结合律3 E6 h* O- u* _+ y) N" z! c4 @9 W7 r; n, k
Asymmetric distribution, 非对称分布5 k9 h' | [, j6 B
Asymptotic bias, 渐近偏倚8 ^7 @: K$ R8 H% E9 Y
Asymptotic efficiency, 渐近效率
$ U. g1 ?( O3 s" e6 B7 m- g# nAsymptotic variance, 渐近方差
# k' {, w( y( ], k6 j& {8 Y! k& EAttributable risk, 归因危险度' T: w; e7 j0 l0 Z% Y8 U# P0 l
Attribute data, 属性资料
1 K3 M: Z0 w% G% [, e3 TAttribution, 属性/ A2 ^* [# p8 g$ U
Autocorrelation, 自相关: g; M; U( m% t( E% A
Autocorrelation of residuals, 残差的自相关# @" i+ r: c+ Z* P- b
Average, 平均数
8 C$ p9 E9 e* S1 W- `3 XAverage confidence interval length, 平均置信区间长度
0 O& H1 u# R1 d) M% {2 W3 ^- LAverage growth rate, 平均增长率
# X: {) {" |4 G" U: pBar chart, 条形图. H5 ?* Z0 Y, U
Bar graph, 条形图
3 e& _, {: a4 S% P+ H7 gBase period, 基期
+ T7 p; Q* ^+ g9 ~' V8 C6 Z1 GBayes' theorem , Bayes定理' l$ F' c9 e$ }; s; H% _
Bell-shaped curve, 钟形曲线! ^- k: k, \+ |/ T
Bernoulli distribution, 伯努力分布4 ?4 m+ P! ~- L _* c4 U
Best-trim estimator, 最好切尾估计量
9 o7 ^' W$ x6 I! s) kBias, 偏性/ ~% j. @) c( a" p, v0 n. b" Q" V
Binary logistic regression, 二元逻辑斯蒂回归
2 @! _$ O0 g. f0 Q5 b0 p5 SBinomial distribution, 二项分布& l7 t$ w, u$ Q8 i X) c: q
Bisquare, 双平方
- z" S7 p( \+ R: ?0 RBivariate Correlate, 二变量相关/ B0 t6 [ ~' D, |; D- v2 O4 D
Bivariate normal distribution, 双变量正态分布
: O' J |( g, k0 }: u3 DBivariate normal population, 双变量正态总体
2 |* \5 @0 u2 e, `% BBiweight interval, 双权区间6 b1 ~8 _& m% p% T* j9 z
Biweight M-estimator, 双权M估计量, Y) k' ?1 [! o8 ~
Block, 区组/配伍组
- n: D4 [2 A J" b# l6 tBMDP(Biomedical computer programs), BMDP统计软件包
5 t/ [9 l: c/ s8 I* aBoxplots, 箱线图/箱尾图2 W% b# ~, g' S* ~
Breakdown bound, 崩溃界/崩溃点8 B4 Y9 R' h! N7 j. k
Canonical correlation, 典型相关
Y" l* t0 F! `* Z7 ECaption, 纵标目
/ G e" N3 e& p3 b/ ~! J% s" jCase-control study, 病例对照研究* l% ]$ w- K$ ~& ^2 I1 @' m
Categorical variable, 分类变量
$ T( L; }' s, uCatenary, 悬链线7 p( D1 o" J0 ^8 D2 q5 E5 V
Cauchy distribution, 柯西分布
6 V" m) Z8 F! N2 C/ i/ o+ B3 OCause-and-effect relationship, 因果关系
' X, o& p% _% d$ O ?Cell, 单元% ] b6 \+ P: R) X. C5 ^
Censoring, 终检
2 ]' ]; _- @* ^0 Z! Z; nCenter of symmetry, 对称中心' S6 X3 m! w1 z U: O
Centering and scaling, 中心化和定标
$ ~$ Z$ c$ ]4 N2 v/ lCentral tendency, 集中趋势$ R! X% P: B9 s; b8 }' o+ G; ^3 g
Central value, 中心值
! {6 x8 U8 t2 C' T& |, h' CCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测6 Z t4 j' _: f0 J1 A. w+ ]
Chance, 机遇
" H( h* n4 ?/ Q9 ~1 ^: j" |Chance error, 随机误差9 g1 {; g1 v1 t- L# D) |1 T' T
Chance variable, 随机变量
: P: o" D! x4 `Characteristic equation, 特征方程
8 v2 q& ]2 h9 s9 `4 p* T9 N! d6 MCharacteristic root, 特征根
4 ?3 I6 I+ l' W, M6 I) j' g( ^* sCharacteristic vector, 特征向量& s. M5 m+ v" ^# X
Chebshev criterion of fit, 拟合的切比雪夫准则* A1 {1 S8 \$ ?+ b* x% r; q6 c% E
Chernoff faces, 切尔诺夫脸谱图4 X) O0 L% A. D5 r7 a h
Chi-square test, 卡方检验/χ2检验9 i3 ?; Z% ~ _# n! L
Choleskey decomposition, 乔洛斯基分解
+ w# ~: ^4 Y8 }$ DCircle chart, 圆图
" T& T' O7 G& `: oClass interval, 组距
, X+ e1 B- P4 _) B! B. g- U1 @ v$ @Class mid-value, 组中值$ M2 q' `/ J# ]5 U/ E. A9 g
Class upper limit, 组上限* _8 \ B& k! s4 R
Classified variable, 分类变量
9 N8 N- y( C7 d: ~Cluster analysis, 聚类分析* d3 O, m) n. ]" Z$ b
Cluster sampling, 整群抽样, F$ I% A! w! \! T
Code, 代码
+ ~; f j/ G9 g: H2 O( LCoded data, 编码数据
+ {3 e) `! i+ \' c4 eCoding, 编码4 y; C+ R% O2 Q6 |
Coefficient of contingency, 列联系数
+ E" R2 I/ q% I/ o$ V( N& N+ sCoefficient of determination, 决定系数
& ]) e9 |" D( P) [$ u8 s4 P6 aCoefficient of multiple correlation, 多重相关系数
$ {% X5 y0 S# [3 r6 g5 qCoefficient of partial correlation, 偏相关系数
$ y& R% J$ i, I5 S5 a7 fCoefficient of production-moment correlation, 积差相关系数6 }/ W, Q6 \) _' ]2 d; i% Y
Coefficient of rank correlation, 等级相关系数
) D, }! d3 j; w* a# tCoefficient of regression, 回归系数
6 h' o `( @- Y b, K6 Z- a+ L' k" mCoefficient of skewness, 偏度系数
5 {" I6 B) Z; n; U+ ICoefficient of variation, 变异系数' S$ S0 b% C- _" A; r
Cohort study, 队列研究* }- g4 } {3 i4 z3 _
Column, 列
2 d& ^8 }( T6 {Column effect, 列效应
% r3 s/ H& t) c1 I' m: O% f) VColumn factor, 列因素
i4 ?( v$ J5 b: qCombination pool, 合并
4 L- j5 H0 ~) T5 g+ jCombinative table, 组合表
8 Q( I8 g) R7 [6 n8 M% ?, E' |9 {; \Common factor, 共性因子
5 S+ }! t: ]$ b: G' o/ ]Common regression coefficient, 公共回归系数6 v+ O( q( p/ r( J0 T" T4 W1 _3 U/ ]
Common value, 共同值
# l3 n$ J1 _; ?7 ]# sCommon variance, 公共方差
! B8 ?& g" d5 B8 e7 ?/ HCommon variation, 公共变异
9 J/ X U; E, s/ M5 a+ K& v, sCommunality variance, 共性方差
- e% g$ ?) \8 g; i }% ^1 nComparability, 可比性- n6 m0 w8 J1 O: e
Comparison of bathes, 批比较& V3 V/ X3 O2 L# `: N6 u* e
Comparison value, 比较值# I8 q/ R' N$ C2 n/ `
Compartment model, 分部模型
" Z; _' b$ f# w/ w- `Compassion, 伸缩
: r2 ~( s: S- J2 |2 g, \, x! tComplement of an event, 补事件
5 ^; E, ^6 a. V j. F5 x; N5 [, Y7 iComplete association, 完全正相关1 y+ L- L: d) P$ {. x8 f1 b
Complete dissociation, 完全不相关4 H+ R- Y- ?2 }3 m; V9 m
Complete statistics, 完备统计量
4 [$ ?) m- e0 j; y5 G4 BCompletely randomized design, 完全随机化设计2 f: s5 Q( q' y5 e4 C1 s
Composite event, 联合事件
o; R) F6 ?& S% w iComposite events, 复合事件0 G" u. ~3 w9 @8 d& @# i9 j% y' }
Concavity, 凹性' Y6 A5 a$ b1 Z" z/ p& N0 G: O
Conditional expectation, 条件期望
: H7 Q" r0 c! ]- i0 F! T# BConditional likelihood, 条件似然
. J$ r) T% Q5 J& s$ L/ ]2 z+ }( P* ?* pConditional probability, 条件概率
3 d0 A* a( g: r, u, `Conditionally linear, 依条件线性5 o5 i! }. L; s/ f! Z# T( ]. W" u
Confidence interval, 置信区间
0 v/ K+ `$ `* B" j( pConfidence limit, 置信限8 |/ g) R8 E+ h8 G6 D
Confidence lower limit, 置信下限
0 Q- s$ q/ C9 k$ }' w ?Confidence upper limit, 置信上限" ^1 g: A }; e1 L9 I$ W m8 `
Confirmatory Factor Analysis , 验证性因子分析3 `9 z, C) {# h+ E- k# R
Confirmatory research, 证实性实验研究* r1 J* V9 ]' Y
Confounding factor, 混杂因素3 e" q( }- [" q( S, z! `2 m% V) k* I
Conjoint, 联合分析
1 [* x4 C' g# ]8 R% F8 DConsistency, 相合性
+ {# c f1 s7 W/ M$ gConsistency check, 一致性检验, ?0 H4 T* [7 O! y6 r+ `
Consistent asymptotically normal estimate, 相合渐近正态估计
& r4 Z9 C' ^7 K& \, ]Consistent estimate, 相合估计! ]9 u; T0 q0 ?, g; F. s
Constrained nonlinear regression, 受约束非线性回归$ x& _5 u% V' Y" q( b
Constraint, 约束% n3 \, y1 g5 y" E. w* E
Contaminated distribution, 污染分布
8 K) v# S9 }+ u1 {# s& ? U* ^2 @Contaminated Gausssian, 污染高斯分布
5 U; H; o/ ^( \# f8 o2 M3 j; nContaminated normal distribution, 污染正态分布9 j# K) Z1 @9 x4 n4 f& S
Contamination, 污染% |- ]1 O H* m+ t/ e
Contamination model, 污染模型
4 i( y: X3 {8 D: HContingency table, 列联表
1 v* n5 l, |6 _3 v. J- uContour, 边界线
, O, b, |- ]. J9 a0 I% [Contribution rate, 贡献率) p9 A" {8 Y3 \
Control, 对照
( {$ G Z& f- j+ XControlled experiments, 对照实验
: N1 _& R F' W8 nConventional depth, 常规深度1 ]0 i! E- F) H4 _% e
Convolution, 卷积
" w: e# A5 \5 j; \# ~8 ^5 UCorrected factor, 校正因子
5 W+ w' @- I$ B$ k1 ^Corrected mean, 校正均值" l2 j3 p# i# u8 S4 c
Correction coefficient, 校正系数8 a% Q4 y( `: p) t: y3 Q
Correctness, 正确性
; J0 r3 t6 h, W, e$ eCorrelation coefficient, 相关系数- w3 c6 i! Z: `$ r& q9 g
Correlation index, 相关指数
7 l" j5 |( g' ?0 g* fCorrespondence, 对应
4 \! c- k, I; c* U2 NCounting, 计数
3 N1 Z$ e; k/ ~: d" QCounts, 计数/频数, e, R- g( E$ H/ m/ J$ h
Covariance, 协方差% i9 l$ H6 C8 q
Covariant, 共变
0 i) |" |) U; ]3 yCox Regression, Cox回归: z& c# t6 [; T* N; X$ r1 i2 I, G
Criteria for fitting, 拟合准则
: u. z$ s/ c( N8 V4 V+ T+ `- o- gCriteria of least squares, 最小二乘准则- {8 n3 I! P: f2 Z# d
Critical ratio, 临界比
4 i0 s: z; f# U8 _Critical region, 拒绝域
9 b& T/ K; S5 l. d E; ?Critical value, 临界值
* V+ ^* [6 ]) e% C3 p9 m) oCross-over design, 交叉设计2 X" d7 h6 Z2 p, d
Cross-section analysis, 横断面分析
: q5 s4 _1 z6 g& ]+ |$ ZCross-section survey, 横断面调查
2 A- a8 p5 @& d4 hCrosstabs , 交叉表 2 G/ _4 O2 m% h2 ~1 _8 i: j
Cross-tabulation table, 复合表
! L+ Q8 T5 z* OCube root, 立方根
9 q9 G) R+ [2 l1 x' LCumulative distribution function, 分布函数
1 R5 k1 d% V; i9 n, y+ zCumulative probability, 累计概率* u4 _: d& ?" K6 s, |' B7 ?+ b
Curvature, 曲率/弯曲1 U, V0 j$ i0 N% b4 Y) N
Curvature, 曲率8 ?* i% v! O" a( O# z w+ A2 O9 S
Curve fit , 曲线拟和
4 i0 L" u- W# F" TCurve fitting, 曲线拟合
- ~' `( k) { y9 ?Curvilinear regression, 曲线回归
; Y3 m$ v) \; `. L6 A- x* I6 ]Curvilinear relation, 曲线关系
% |7 I( ^7 |, C) x$ u- _Cut-and-try method, 尝试法
1 k2 Q" F( K' v$ m3 K' r1 bCycle, 周期* B1 o& P2 o2 Z% n
Cyclist, 周期性- a) T, A# W2 i- T: T9 d6 S
D test, D检验
/ L2 `9 c# s( O* ^9 H" |2 VData acquisition, 资料收集
- ~, T. B6 Z. S1 Y. MData bank, 数据库/ a0 t W7 u @0 X0 L' G5 b
Data capacity, 数据容量
2 T4 V$ L7 e8 f: L/ a- sData deficiencies, 数据缺乏9 P/ x! Z: u9 I, r4 ~
Data handling, 数据处理
( D2 x ?; I& }1 uData manipulation, 数据处理
' V8 X d$ ]9 Q; O. q( c$ ]+ R. C( PData processing, 数据处理
& C4 A- I3 p1 @7 p8 p9 qData reduction, 数据缩减9 P0 q( _, \# t2 e) K. t! T
Data set, 数据集5 Q% z" d# x9 U* B* A
Data sources, 数据来源+ q, |: n; w. ^/ B
Data transformation, 数据变换
4 d1 g- K9 v7 Q6 CData validity, 数据有效性
* }0 P# ^4 e, ^% IData-in, 数据输入$ A0 |. a2 W+ M2 k* s
Data-out, 数据输出, J9 _. I x2 H. ~. E Z
Dead time, 停滞期
0 z4 T+ v/ v7 @" v8 B2 f5 WDegree of freedom, 自由度
5 ` a! w; T/ yDegree of precision, 精密度
1 M" _# J! o" I4 eDegree of reliability, 可靠性程度
; `% h' Z! p. t6 A' f* }' m& K9 eDegression, 递减0 i) `- T4 y+ K9 u
Density function, 密度函数8 K1 y2 w; a3 W5 j
Density of data points, 数据点的密度
9 _2 f) U$ y5 T, }' BDependent variable, 应变量/依变量/因变量
+ y0 c# v4 n' U- ^Dependent variable, 因变量5 C* A0 w, z8 h- u' ?3 @9 ? p4 u2 r
Depth, 深度
; [7 S' z: v z; y1 u8 QDerivative matrix, 导数矩阵
! _8 |( r3 u& t+ sDerivative-free methods, 无导数方法) T! K6 a6 [! l ]" h6 O
Design, 设计
, C0 G' |& L4 ]# ?1 u2 t& [/ ?Determinacy, 确定性
" P4 J4 H) n4 t6 `Determinant, 行列式
& h! `7 V+ _- [" I7 H! D f7 G; DDeterminant, 决定因素
l1 T; {9 w9 n' T+ TDeviation, 离差% f, j1 Z! @; B) R. o9 H- o# D6 _
Deviation from average, 离均差; \, \$ Z; r' ^; h
Diagnostic plot, 诊断图, e9 ]) ?! w2 @+ Q! ?' i
Dichotomous variable, 二分变量
6 M: _* g3 f8 t) ODifferential equation, 微分方程- I4 j: k$ s+ Y
Direct standardization, 直接标准化法
" X/ I2 _ `9 zDiscrete variable, 离散型变量3 ]# X6 t0 k4 D4 e1 o0 ^3 Q' S
DISCRIMINANT, 判断
6 @% E s9 F3 v9 F2 m1 ~9 JDiscriminant analysis, 判别分析0 S% ]+ l' H( W* d
Discriminant coefficient, 判别系数
; s# ] ?( b8 wDiscriminant function, 判别值
5 x+ S( p/ d2 A% x4 CDispersion, 散布/分散度" C7 ~. j. G) V# |& m, Q0 T8 V
Disproportional, 不成比例的; s7 n# s0 X7 [; b( A8 Z( M7 r7 s" I6 ]
Disproportionate sub-class numbers, 不成比例次级组含量
2 _8 s& K3 m$ LDistribution free, 分布无关性/免分布. o5 H# l1 V$ z& ]& w! P
Distribution shape, 分布形状
0 t! R8 a7 [" U. @: ^Distribution-free method, 任意分布法$ x) ^6 E) B5 D+ e( I
Distributive laws, 分配律
9 M' D$ |6 d( m' v% bDisturbance, 随机扰动项
' F/ y/ T7 ?" i/ ]- c! a# Q" UDose response curve, 剂量反应曲线
* J8 M% O' A$ d' T8 mDouble blind method, 双盲法
1 l2 o2 T; K. g* ?# o5 |Double blind trial, 双盲试验3 K% J" F4 E5 [, {' J3 k7 n
Double exponential distribution, 双指数分布1 M4 Z* m, b) B# e" V7 a& b
Double logarithmic, 双对数( Q! I' e7 N$ @5 p) ~' n# c: Z
Downward rank, 降秩) G$ L" O+ n/ `' g. P! x$ w. G. i
Dual-space plot, 对偶空间图
% s" ?: u% D. R! w1 k- uDUD, 无导数方法
0 c7 E# K; j" J2 j2 v+ FDuncan's new multiple range method, 新复极差法/Duncan新法
4 ~4 ?0 e* Z% g3 A J& eEffect, 实验效应/ [; ?% }; n" [0 s4 a( a
Eigenvalue, 特征值' X5 M, n" v V# K' H4 _
Eigenvector, 特征向量: a3 |: i" {# s
Ellipse, 椭圆
' ~! K: A" S0 f. O3 ~, VEmpirical distribution, 经验分布4 G6 M* w3 L' p5 _( B7 u
Empirical probability, 经验概率单位
; }8 @1 X' t3 t mEnumeration data, 计数资料
* C C; j; A4 D9 H2 N- aEqual sun-class number, 相等次级组含量) o) O5 O: Y' q# e$ n. G3 \$ D/ t
Equally likely, 等可能( }6 U' T1 P! v \
Equivariance, 同变性" N I. ]3 x6 l6 W+ Q8 S
Error, 误差/错误
( w' L' n/ w8 {: N6 K4 m/ {Error of estimate, 估计误差
0 e4 l! s9 ^& y* T6 ]! lError type I, 第一类错误/ Z; x. x1 R% p9 P l! L
Error type II, 第二类错误" K3 @. F4 f V5 F( _" f+ W H
Estimand, 被估量+ M! q2 B# m& Y' x; n5 o
Estimated error mean squares, 估计误差均方: s7 c! W7 z+ { S
Estimated error sum of squares, 估计误差平方和6 v. d$ l) J1 H7 @
Euclidean distance, 欧式距离; C! O4 I1 e4 _3 b# f2 W+ P
Event, 事件
" j: j. O8 D/ P+ {Event, 事件
' O2 S4 x W* o0 NExceptional data point, 异常数据点3 G/ u, E$ Q+ {! C3 x* |$ D
Expectation plane, 期望平面
$ a9 q1 B% e: `: S* x* Q- `Expectation surface, 期望曲面7 I) a8 f* p: v5 Q" b
Expected values, 期望值' k9 G" c6 U* o& b7 ]# i
Experiment, 实验3 C5 f0 h. |, @1 `0 ^ x9 m
Experimental sampling, 试验抽样+ S8 W7 a" c0 G- v
Experimental unit, 试验单位# _! X. g/ X' H5 Q1 T
Explanatory variable, 说明变量; a% z n% ]$ \9 W: v: J J
Exploratory data analysis, 探索性数据分析# T9 L+ i5 G0 c2 A9 I& l
Explore Summarize, 探索-摘要8 Y: a# }+ t l. Y) e3 x. K1 ~* {6 U
Exponential curve, 指数曲线% K) c1 n4 i- @
Exponential growth, 指数式增长
; B; K2 q# T0 y# oEXSMOOTH, 指数平滑方法
" {$ \- |% {+ H0 OExtended fit, 扩充拟合
+ t, ]3 Z* Y- ]1 ?5 d7 S! {Extra parameter, 附加参数- g+ ? o2 D# M0 [' @
Extrapolation, 外推法) |1 a$ b1 J1 ^
Extreme observation, 末端观测值
6 m7 b* T+ F& `0 aExtremes, 极端值/极值
% K0 ?% L W$ ~F distribution, F分布
0 B$ L' t: r" h- Q! z7 iF test, F检验/ V$ P& l* D& V* j0 J2 \* V
Factor, 因素/因子) p1 a( n0 e% U. n5 u
Factor analysis, 因子分析
* m( C: M# P4 l! G. hFactor Analysis, 因子分析) ^/ p4 S: \9 J" `9 I" U
Factor score, 因子得分 $ i& _: |4 d; N1 h; {) Z
Factorial, 阶乘
8 m! a# M9 f7 p0 i; v, UFactorial design, 析因试验设计
9 Y' \$ q$ e% J+ }False negative, 假阴性; Z; t% g Z$ W" P9 e" m
False negative error, 假阴性错误* [: E/ R: P# n2 O1 r5 d
Family of distributions, 分布族
2 c8 V8 B x! G2 G# [. ]4 I7 n" z6 NFamily of estimators, 估计量族
- @! M) o, W. H/ EFanning, 扇面
& ]( d, i9 _4 ~4 b7 G. o) L- jFatality rate, 病死率
2 D1 G2 @. K7 ?( N2 tField investigation, 现场调查
/ g! P# C, \( D6 LField survey, 现场调查5 }+ C k- k) i7 |6 |$ h
Finite population, 有限总体4 f0 S/ b, {% o& [& d, x
Finite-sample, 有限样本
- M! j" ~9 s% n9 |* jFirst derivative, 一阶导数
2 m. H. x4 F8 X/ c% ^5 [; hFirst principal component, 第一主成分& Y+ S) J9 z: I, h8 p6 x) A7 J
First quartile, 第一四分位数
( r X% Z9 |- e! sFisher information, 费雪信息量6 ^9 y* V0 b. z+ j, w
Fitted value, 拟合值
, X8 A- G7 Q/ B. A1 C9 u! |Fitting a curve, 曲线拟合( ^9 y4 Z; @' r. w1 W
Fixed base, 定基/ Z$ O3 e: F& r6 p
Fluctuation, 随机起伏
, d. A" d0 m2 D" BForecast, 预测2 G' P. \5 h3 S& Z
Four fold table, 四格表
- e5 a& T) P7 Y3 PFourth, 四分点) e, N2 h% ^- V5 B. g
Fraction blow, 左侧比率% ]4 r/ @4 A# Y3 K& p% k
Fractional error, 相对误差; ]3 O4 Q4 C. k2 L% K. d
Frequency, 频率, \! D: t) W; d. A
Frequency polygon, 频数多边图( _2 ?. [: i/ ]+ V
Frontier point, 界限点! ^9 t" B) C y
Function relationship, 泛函关系
2 m% C! k+ t9 N7 s' S2 L0 DGamma distribution, 伽玛分布7 Y/ X r5 q4 K5 p& H, C; I
Gauss increment, 高斯增量
" t r1 U9 x- G2 NGaussian distribution, 高斯分布/正态分布% ~" w: i' y" o/ T: B2 Q2 U& M7 c
Gauss-Newton increment, 高斯-牛顿增量
$ a( z. Y' N% F# zGeneral census, 全面普查
% Q% v% E7 [# ]0 d sGENLOG (Generalized liner models), 广义线性模型 - n4 x( D$ h$ C. |$ P
Geometric mean, 几何平均数
' @ @, F( R, L) [Gini's mean difference, 基尼均差4 W* F$ n4 d' p- U
GLM (General liner models), 一般线性模型 9 y* q( J4 a1 H/ a1 ^+ f8 `
Goodness of fit, 拟和优度/配合度- G# }* B; O* L5 A# @% T
Gradient of determinant, 行列式的梯度. F7 H" @9 z6 y. n2 f# ]' P
Graeco-Latin square, 希腊拉丁方8 z# Z Q3 G; I% n6 f: y" Q( v
Grand mean, 总均值
2 O( t% ]; q, e! B8 \; kGross errors, 重大错误8 L/ C- H7 D& l6 H3 `4 ~! U* Z7 \8 t( n
Gross-error sensitivity, 大错敏感度
/ `; O5 Z( n0 aGroup averages, 分组平均
* J0 j* P6 x: h. U# P2 d) k( J8 kGrouped data, 分组资料
: u$ B- q! O" o9 gGuessed mean, 假定平均数
+ `! E5 ]8 g3 D3 DHalf-life, 半衰期
( M4 r3 j# D4 ^7 ZHampel M-estimators, 汉佩尔M估计量
! x! f2 j0 d. oHappenstance, 偶然事件9 u3 q; z6 S' l; o. V# y9 E! ~6 E% d
Harmonic mean, 调和均数, e, O+ n2 l. M9 a
Hazard function, 风险均数( B7 {/ z/ l) d6 ~& o' o
Hazard rate, 风险率" I0 t2 |' _' s! G. n5 B
Heading, 标目
# A& J7 U5 j# z l% f/ E& m; v* @6 dHeavy-tailed distribution, 重尾分布$ r% T; X2 f5 z% b
Hessian array, 海森立体阵
; ?8 Q! C/ B. \/ U4 RHeterogeneity, 不同质
& g$ } g0 o% ?Heterogeneity of variance, 方差不齐 " P$ y& O K. F1 B! A& w& s
Hierarchical classification, 组内分组; H, [0 s% t. A+ x- V# G
Hierarchical clustering method, 系统聚类法 H8 j% Z* R4 y0 |
High-leverage point, 高杠杆率点. Y; e) r) N, ^
HILOGLINEAR, 多维列联表的层次对数线性模型0 a3 m7 q8 w+ o
Hinge, 折叶点: X! o5 _3 w) f3 Q y
Histogram, 直方图' k$ \$ F8 q; r# a- a, }
Historical cohort study, 历史性队列研究 : O1 U8 _: P3 v7 P% C9 @
Holes, 空洞" a% J& C# p! |7 D+ u2 H1 {: ]( Z
HOMALS, 多重响应分析! P1 z) s* ]9 C. B9 {- L% y
Homogeneity of variance, 方差齐性. e/ g0 [9 x9 [# m# \
Homogeneity test, 齐性检验
; `( v0 q; E ]4 BHuber M-estimators, 休伯M估计量0 u1 e! J4 B- x ^9 a2 q
Hyperbola, 双曲线
6 i0 b2 h, ?5 T+ D/ BHypothesis testing, 假设检验
* u3 G: H& }( C- R9 OHypothetical universe, 假设总体
] J! Z( {( k) ?7 }Impossible event, 不可能事件
7 K- }+ b' m* a6 J# v' u) i, W0 |6 xIndependence, 独立性
+ g7 ]2 }: t* A6 B: n x; MIndependent variable, 自变量
1 p E: T* E+ h* K. E& xIndex, 指标/指数$ i8 {2 n6 l; i5 u
Indirect standardization, 间接标准化法
, w3 I. E% C. v( QIndividual, 个体
9 m1 q7 U6 ?, Q3 o" r$ f2 W! EInference band, 推断带
6 A9 h1 N- |. d) AInfinite population, 无限总体. c8 M8 o' X/ _. T3 z; {5 y
Infinitely great, 无穷大
6 C# c* t7 e I2 l3 _; a# NInfinitely small, 无穷小) a1 z- p z# }( y/ r8 H
Influence curve, 影响曲线9 ?8 O. i0 j9 h/ ?9 d
Information capacity, 信息容量! t! B3 i) _/ C. p
Initial condition, 初始条件) y' V; l7 ^7 @( h
Initial estimate, 初始估计值- O0 L( U! p! }8 U6 ?
Initial level, 最初水平! d. O) }: K. R- z! D1 L& O* g Z0 z
Interaction, 交互作用
! Y( q1 r) H" Z, }Interaction terms, 交互作用项3 }3 E9 j7 \2 C" U" k
Intercept, 截距2 r8 T1 ^' \8 l
Interpolation, 内插法: I" ?+ X8 z: }7 @
Interquartile range, 四分位距
. \0 _. g+ _) U4 ]$ DInterval estimation, 区间估计
. a- n/ O Q' h9 Y9 r/ CIntervals of equal probability, 等概率区间 b x3 L- ]- ]4 m) s
Intrinsic curvature, 固有曲率( J, z4 [& {2 [' J: w' H9 E
Invariance, 不变性: l2 P2 U& }. z
Inverse matrix, 逆矩阵
M" _3 _$ G3 ^+ ~Inverse probability, 逆概率
1 n# w. H B P/ O8 e% A1 o- dInverse sine transformation, 反正弦变换
; k2 m6 `0 D% _ sIteration, 迭代 + a5 \1 J$ H/ S
Jacobian determinant, 雅可比行列式7 T- H7 ]0 B" U/ e1 Z/ n1 L/ Y2 w
Joint distribution function, 分布函数
7 |# C4 k( W0 j6 E/ I/ Q4 @0 dJoint probability, 联合概率; @* [. u7 X* L4 j
Joint probability distribution, 联合概率分布0 i$ v# }% _( z' ^ H
K means method, 逐步聚类法6 |7 y8 v3 {0 t7 w+ u5 }: c& v" B
Kaplan-Meier, 评估事件的时间长度
4 F r0 V$ p, lKaplan-Merier chart, Kaplan-Merier图
+ V- S: t) k( t8 dKendall's rank correlation, Kendall等级相关+ r0 n2 H3 S# f8 q
Kinetic, 动力学
: X2 z4 O; E. ?1 ]# ~Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
7 P' a' g$ k+ [) iKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
9 O* e, a: `, V3 U2 [Kurtosis, 峰度 M/ W! v7 |! K
Lack of fit, 失拟
" q/ r+ y# b! ?( H$ @+ P: BLadder of powers, 幂阶梯 a/ b& G6 f! m! _
Lag, 滞后
* R( |/ y1 \) f' M! u) ILarge sample, 大样本5 J5 p& k7 _2 |
Large sample test, 大样本检验. x) K6 T' Z- @8 R
Latin square, 拉丁方! P; p0 D- p( O B1 O
Latin square design, 拉丁方设计0 w: x+ N% y) n& @
Leakage, 泄漏% T0 F# E F/ e: q2 \ X
Least favorable configuration, 最不利构形
5 Z, T+ s y! @ j; bLeast favorable distribution, 最不利分布6 B# D; m$ M: f' C# D
Least significant difference, 最小显著差法
- n" i8 f& T5 bLeast square method, 最小二乘法
) H |$ g1 k) D9 k7 m# V; D0 [Least-absolute-residuals estimates, 最小绝对残差估计
- N3 r" p) r L5 k- {0 C! B @Least-absolute-residuals fit, 最小绝对残差拟合2 ]- e. @+ ?, n
Least-absolute-residuals line, 最小绝对残差线
6 t) t* q) O9 I2 L2 g3 ZLegend, 图例% F( c! y( V* S; T# Q) I
L-estimator, L估计量4 U2 `# J) K3 P( c
L-estimator of location, 位置L估计量
& g* c( T; N. R' p/ R8 N" mL-estimator of scale, 尺度L估计量
# r9 w3 V# ?8 a8 CLevel, 水平# q* e3 r# E. R
Life expectance, 预期期望寿命
( \4 e' {- k( D# ]7 a3 }Life table, 寿命表
. t1 G6 b# A( D& y( JLife table method, 生命表法
" @1 J8 A! f9 X. W, ]Light-tailed distribution, 轻尾分布+ ^. U, B G: [, B5 J7 [
Likelihood function, 似然函数8 V# D7 k3 c7 t4 j* Z( k5 r
Likelihood ratio, 似然比
+ R, ]% s# c. j2 T2 |! i# [7 @9 Hline graph, 线图3 }+ I5 A& H5 ~
Linear correlation, 直线相关+ ^. w7 P3 M* D! X+ k' I; m
Linear equation, 线性方程
, i- U/ B( S9 j/ QLinear programming, 线性规划
/ ]6 E& K3 d. c, ]/ VLinear regression, 直线回归1 S% Q2 w G8 A" n* D/ E
Linear Regression, 线性回归. N+ N* |& P+ u; |0 S
Linear trend, 线性趋势 p) e' Q9 f1 k6 ^3 {. Q
Loading, 载荷 - M$ l5 w$ q3 Y( t( H" Z# `" X
Location and scale equivariance, 位置尺度同变性+ n. i7 B2 E9 M( M5 i/ R
Location equivariance, 位置同变性
' U+ r6 M9 _% d+ yLocation invariance, 位置不变性
" X* _) D1 S( W. x; E7 CLocation scale family, 位置尺度族
, F% l$ H- X% `# U$ yLog rank test, 时序检验
/ p& Z8 l. A n) \Logarithmic curve, 对数曲线$ v. x, M$ \6 }) i' I* F; p
Logarithmic normal distribution, 对数正态分布
" S) {% ]; C$ @3 Z- cLogarithmic scale, 对数尺度# V% F0 F) e1 a" v& @& E/ D
Logarithmic transformation, 对数变换, b0 t% ?. g) L1 X" e
Logic check, 逻辑检查
8 h. b0 b, n0 a% B6 I& @0 H( ^Logistic distribution, 逻辑斯特分布
/ z$ l0 H0 L7 g# \5 ^) @, [Logit transformation, Logit转换$ @4 u7 M& T4 P$ Y/ @7 z* i& h- U
LOGLINEAR, 多维列联表通用模型
2 \1 t. F! X8 P5 A/ |9 |/ k1 eLognormal distribution, 对数正态分布
; O4 c( A' W( f; RLost function, 损失函数
* ~3 f, P( ?, KLow correlation, 低度相关
8 \3 F2 N; l5 Y) ILower limit, 下限
: v% D/ U* }5 x2 @Lowest-attained variance, 最小可达方差4 ]8 R) b- E% g* b2 T7 W
LSD, 最小显著差法的简称
) u; a A# [: w# r! u; k xLurking variable, 潜在变量
, E+ q* [; T& JMain effect, 主效应' d7 H; R6 s7 e' T2 C+ D
Major heading, 主辞标目6 y. K# [5 \ {7 u# {" e5 H
Marginal density function, 边缘密度函数2 [! t2 I4 S7 W) K& _# B
Marginal probability, 边缘概率$ ~' W O" X2 f7 @7 s) f
Marginal probability distribution, 边缘概率分布
% Y4 O9 P7 X2 z% L- bMatched data, 配对资料
, k4 B5 K: H) n0 h* F$ a0 v3 _6 ~Matched distribution, 匹配过分布* p& }; A( n; K8 z+ }/ s6 H3 k
Matching of distribution, 分布的匹配4 v! c8 T: C Y# B+ v3 J& L
Matching of transformation, 变换的匹配
8 I6 o& d X$ I2 ?; R: qMathematical expectation, 数学期望, a9 T5 i! @! S+ m' M" C# U
Mathematical model, 数学模型
2 c8 C7 X8 j2 }. SMaximum L-estimator, 极大极小L 估计量
" W" C. w! _; Z \0 pMaximum likelihood method, 最大似然法
' b* P. C' h4 a) B o8 @4 dMean, 均数& {3 `5 k. N( E+ A+ ]8 p! T# F
Mean squares between groups, 组间均方
/ G9 j1 a7 R3 ^0 D/ k& o. ?Mean squares within group, 组内均方
) p7 Y: t5 c0 { r: V& U6 dMeans (Compare means), 均值-均值比较
; u1 [. x5 p6 W/ gMedian, 中位数
( K' b! g+ K; TMedian effective dose, 半数效量2 F, ?+ p+ A8 N( `9 @& v& R1 @0 y
Median lethal dose, 半数致死量& u: c- B* X- y
Median polish, 中位数平滑; ~3 m4 J4 T/ W8 g' N* u6 J
Median test, 中位数检验
" t1 }) o: K0 H) \+ K2 gMinimal sufficient statistic, 最小充分统计量
L+ i& r1 M# D8 M& [& }( zMinimum distance estimation, 最小距离估计; K2 X3 A6 I7 x7 x* r+ t
Minimum effective dose, 最小有效量
7 {; M8 y, L9 W g' j0 {Minimum lethal dose, 最小致死量
/ a8 n4 C7 L" N1 q8 [+ LMinimum variance estimator, 最小方差估计量5 e. {1 Y7 r$ L& D2 c4 x# c
MINITAB, 统计软件包5 |- C! ?- T1 ~2 n
Minor heading, 宾词标目4 A4 Q- u% z& P0 K2 P# U' m
Missing data, 缺失值
* b( a- |7 H- I$ V HModel specification, 模型的确定! }% _* d/ t% ]* \. {6 K
Modeling Statistics , 模型统计
/ ], z9 O, y6 S; o) `7 aModels for outliers, 离群值模型
9 i& z9 N+ e% w5 Z, ? wModifying the model, 模型的修正
# e2 p% e! D& HModulus of continuity, 连续性模5 ~) B$ e' x1 s9 G
Morbidity, 发病率 6 J3 k% t! B, l" X
Most favorable configuration, 最有利构形1 U) B2 s Z. ~5 `- a/ [
Multidimensional Scaling (ASCAL), 多维尺度/多维标度% A I. ^. k. n5 P+ s
Multinomial Logistic Regression , 多项逻辑斯蒂回归) C. h) L% i+ J% d0 |# B% L v3 R4 S
Multiple comparison, 多重比较
' t" z/ t7 I Q2 DMultiple correlation , 复相关& K% A. t; }" @/ F2 W' M
Multiple covariance, 多元协方差
# E$ m7 b- |. _( M, e2 b, r9 rMultiple linear regression, 多元线性回归2 \2 @2 o: ^8 ` j" y. ~4 M
Multiple response , 多重选项( i& `8 L% r& j' k2 h/ r1 B O* @( D
Multiple solutions, 多解+ E& R; S. e# A# J8 r( j
Multiplication theorem, 乘法定理4 D5 d! P) z5 F7 b
Multiresponse, 多元响应% }' z+ ?' d: X/ D9 R
Multi-stage sampling, 多阶段抽样
% L) x$ D7 T* \3 @Multivariate T distribution, 多元T分布
, r1 f8 q4 i ZMutual exclusive, 互不相容
% x1 V, T# [2 t9 pMutual independence, 互相独立/ h! n7 e% F& I5 D( l3 W
Natural boundary, 自然边界1 K* [' W$ |$ J2 ` H( D6 F
Natural dead, 自然死亡# {- B1 W2 Q; b" ?* C' J
Natural zero, 自然零5 G4 D% L V6 g3 I3 P Z1 c
Negative correlation, 负相关& c$ ~. o, ?$ r4 z
Negative linear correlation, 负线性相关
- j/ P" V- R, Q; iNegatively skewed, 负偏
7 l* l {4 L g; ~0 G) \Newman-Keuls method, q检验
8 F$ N0 x$ k/ ]+ K9 K) }( ]9 a1 wNK method, q检验+ P e5 o. |2 A, T; |; O( _+ A M# |
No statistical significance, 无统计意义
7 b( h: T6 @4 m. {& q5 GNominal variable, 名义变量- V7 {1 E: f' J
Nonconstancy of variability, 变异的非定常性& j2 b t$ I$ x5 M. I. Q
Nonlinear regression, 非线性相关# ~( p+ _* Z/ p+ K9 M* r! o0 R
Nonparametric statistics, 非参数统计
3 O' ]9 C6 O9 ~ J! zNonparametric test, 非参数检验
& A- N# z; c u1 _Nonparametric tests, 非参数检验
9 ~. h2 ^ T+ XNormal deviate, 正态离差
0 T1 m/ {* F }! Q! t7 eNormal distribution, 正态分布. {' k8 V& w: p& u! ?3 F8 N* x
Normal equation, 正规方程组" b' `; ^: s9 \ p5 z! H
Normal ranges, 正常范围" X, t7 b6 D7 z6 M$ J+ l
Normal value, 正常值
% y K$ H( ?3 F& `; c$ z: a0 a0 iNuisance parameter, 多余参数/讨厌参数: K/ j% t4 o w
Null hypothesis, 无效假设
$ o0 Q- F- V/ @, GNumerical variable, 数值变量
- j3 j- R. r0 J0 ?; z# _8 }2 MObjective function, 目标函数
4 |$ u1 _8 N- ?/ |Observation unit, 观察单位) u+ B1 S/ k2 v( o( g: A
Observed value, 观察值
- K* o2 }+ K; D+ N7 pOne sided test, 单侧检验
9 C- u$ a1 p, J3 M2 XOne-way analysis of variance, 单因素方差分析1 p* B3 n: F( W2 p! L/ X
Oneway ANOVA , 单因素方差分析/ N% @9 B% O) v* r8 I5 G I
Open sequential trial, 开放型序贯设计, W O* b( C: L* D; k' t
Optrim, 优切尾
1 _. A, L, D ?6 {/ Q8 sOptrim efficiency, 优切尾效率
9 C q E9 a aOrder statistics, 顺序统计量! r* Y% J( |* v1 t7 \
Ordered categories, 有序分类5 n( ~) U$ U1 X& V4 O
Ordinal logistic regression , 序数逻辑斯蒂回归& k1 ~# Y9 `! S3 C0 |9 s' s- X2 j
Ordinal variable, 有序变量6 _7 Y: u1 ~% o/ {8 z
Orthogonal basis, 正交基7 q. g+ u4 Y! q6 a- {* f
Orthogonal design, 正交试验设计
- _& Z2 ?# q. n7 W3 l% ~% oOrthogonality conditions, 正交条件
# ^9 B$ D' a7 e6 G: H X* {4 HORTHOPLAN, 正交设计
* T7 p& p: n+ F0 L+ o8 z0 FOutlier cutoffs, 离群值截断点
+ [) d2 P$ x/ t0 h3 n5 z- |- eOutliers, 极端值
9 ]& [* o9 v* u& Z" z+ aOVERALS , 多组变量的非线性正规相关 & y7 V2 y Y0 }- c
Overshoot, 迭代过度
% X+ B$ x- X8 T# vPaired design, 配对设计( O3 p. `9 n- F2 \
Paired sample, 配对样本
5 k4 }1 t" h9 X1 W( hPairwise slopes, 成对斜率; a" U3 r R& A/ W0 q) O$ x' z
Parabola, 抛物线9 W0 d4 W6 F" R! R; \: v; {
Parallel tests, 平行试验
, |. }, [# W: n. e, X# d. |Parameter, 参数
( o" L/ g& B" v* W4 c6 }* M8 r% hParametric statistics, 参数统计1 S* B4 S1 U* Z
Parametric test, 参数检验
5 u( l% c' @& z2 p' j0 F5 QPartial correlation, 偏相关7 y) I# u2 {/ A4 d9 `( x
Partial regression, 偏回归+ F; S8 \) P1 k: o/ x$ y
Partial sorting, 偏排序
# |3 b& Z5 k) @8 I K V2 cPartials residuals, 偏残差
( F9 ^3 O1 J, S% s zPattern, 模式& p. f l* k; p8 f! O
Pearson curves, 皮尔逊曲线; @1 }6 z( s4 l+ ?1 T# @
Peeling, 退层* K; N+ g- y. b+ Y5 C( V% |
Percent bar graph, 百分条形图3 J X2 J- P! F# E1 i. {
Percentage, 百分比
# c+ f0 p$ U9 d! kPercentile, 百分位数
$ J, y+ A" ]( _$ J$ YPercentile curves, 百分位曲线/ i4 t; Z7 @, y7 ?7 A' m' ?/ G
Periodicity, 周期性% b/ n( z8 k- B% S& X/ ~
Permutation, 排列
5 t: [' H6 {5 NP-estimator, P估计量
5 v' }# r5 @/ k. O/ BPie graph, 饼图
( F! N+ J; C% O2 DPitman estimator, 皮特曼估计量
' g: c! {& N0 [0 m( k; n3 xPivot, 枢轴量
; |, `# m+ Z/ C& H' {5 cPlanar, 平坦
( n$ |6 B, g) o+ w ~Planar assumption, 平面的假设
' f' S q# j+ T$ F8 aPLANCARDS, 生成试验的计划卡
- Y/ x: k8 b2 T4 q; LPoint estimation, 点估计
. p* }0 w, _! QPoisson distribution, 泊松分布3 ]/ ^1 r; N% B$ c
Polishing, 平滑
- R7 k' S% f$ d5 T9 w/ rPolled standard deviation, 合并标准差, p% c& `# Y% M# s. }5 h
Polled variance, 合并方差
. t4 B d \3 j0 [" DPolygon, 多边图' s% R) i/ N- W6 H9 {8 _
Polynomial, 多项式% t5 J& T! X7 Q; l
Polynomial curve, 多项式曲线8 F9 H9 T" s8 G5 I8 v
Population, 总体, F ?; G3 f) @+ e$ E
Population attributable risk, 人群归因危险度4 p4 v- o9 A8 |3 B' N/ H7 l3 D2 d
Positive correlation, 正相关2 w2 P3 o. m( f1 M9 H# @3 _, G4 N, h
Positively skewed, 正偏
7 u4 j: W5 W# t5 V) B5 X0 I. r6 sPosterior distribution, 后验分布" B8 l) A& {9 U, F" P
Power of a test, 检验效能
. R6 K/ K, P- j" [Precision, 精密度
- i4 u* @; C. ^; W+ IPredicted value, 预测值
$ [$ j+ ?# N3 {- fPreliminary analysis, 预备性分析% T9 f9 L' @0 P' I# F8 B- x
Principal component analysis, 主成分分析
: H/ D* J; L0 ?) @$ T% i% x& `Prior distribution, 先验分布
7 j9 t- X) t: I# vPrior probability, 先验概率' x( Y- ], j& f# z& e
Probabilistic model, 概率模型' m. Y4 `$ e/ a
probability, 概率; d# P4 |! t. g2 M4 I' n) `% i
Probability density, 概率密度& F. x1 {, ^* v
Product moment, 乘积矩/协方差3 i8 U8 d' ~! o* i: V
Profile trace, 截面迹图0 z7 F; Q2 Q" b, ~
Proportion, 比/构成比' Z6 F- x9 {9 b- b( y
Proportion allocation in stratified random sampling, 按比例分层随机抽样
! f B/ M M( [/ A% |, FProportionate, 成比例9 z7 A1 b& T; I' v0 m( d/ h% c
Proportionate sub-class numbers, 成比例次级组含量
: J% C! L2 g0 D: h5 N3 y: w8 i' gProspective study, 前瞻性调查
3 X$ I( x+ ^( I/ o6 bProximities, 亲近性 8 [0 n5 T6 A V/ ]* S6 w: v& p4 {
Pseudo F test, 近似F检验8 d' ?' \5 e% @: N3 |
Pseudo model, 近似模型# R0 L; d' ^6 i4 \2 v) E
Pseudosigma, 伪标准差
. i1 |9 D/ ^5 P( y' APurposive sampling, 有目的抽样
/ z2 x2 H8 C* N: p9 v- pQR decomposition, QR分解/ N" [) S$ P N8 q( z! l/ S
Quadratic approximation, 二次近似
5 t1 q- B$ u+ L& m( S2 `: rQualitative classification, 属性分类
6 K8 O# I# ?* @Qualitative method, 定性方法! h8 n+ J: B, n P( d) r
Quantile-quantile plot, 分位数-分位数图/Q-Q图
) D; ? x' x; u3 EQuantitative analysis, 定量分析
- A( E. o! h. y) l( i$ ^Quartile, 四分位数4 V4 P3 x- S c! E) q
Quick Cluster, 快速聚类' J2 c" Y" y" n/ z( U
Radix sort, 基数排序7 H! R" ?9 z3 [* ~7 V( k( u
Random allocation, 随机化分组
% o( r! M: h5 S" N9 {Random blocks design, 随机区组设计
8 W0 P- s8 d( [2 xRandom event, 随机事件
8 @3 [. w$ `+ H' D5 T- U1 S' u# {0 vRandomization, 随机化) X! w6 y. ^$ E$ y: F/ V0 V
Range, 极差/全距* b8 l8 |+ Y* a) K: ^% n7 R
Rank correlation, 等级相关
8 R7 a4 P! J. w9 D% _' dRank sum test, 秩和检验, Q- d3 _1 d! M& K- L% a1 i
Rank test, 秩检验
2 Q; S* O* S8 r- X. jRanked data, 等级资料 m6 I v. K, C3 ~0 }/ A/ q/ g- G
Rate, 比率) T1 w5 i4 C1 \; Y
Ratio, 比例, t: N& ]$ @5 ?+ s3 e% i' l- }8 q
Raw data, 原始资料
8 d6 x7 b3 v8 |& J2 u3 C# }6 Q& JRaw residual, 原始残差
1 ?" U$ l! B4 z& I/ c. N3 |; URayleigh's test, 雷氏检验
) z& C! W0 f8 G, qRayleigh's Z, 雷氏Z值
" }: O) o Z) I6 Y! a, rReciprocal, 倒数3 W" D; m3 S, F) Z: L7 D1 \
Reciprocal transformation, 倒数变换
4 m' x& T- C9 D7 d# k, s! d* QRecording, 记录
& L/ v( `, k! `+ z4 y- MRedescending estimators, 回降估计量) ?+ ^$ D+ f( [, z' p* k$ N
Reducing dimensions, 降维
( p& F3 v0 I" a5 w% wRe-expression, 重新表达" w; _6 S! B7 o- d) v- J& \1 ?; _
Reference set, 标准组' x% ]; \, c+ \) r( f# m
Region of acceptance, 接受域
4 y3 s% @. f- Y' uRegression coefficient, 回归系数
# W" m/ |# x+ b0 c( ~Regression sum of square, 回归平方和7 d# g( q v* u# z
Rejection point, 拒绝点
6 P6 K' T6 p& V) Q$ M6 n( yRelative dispersion, 相对离散度9 q; p* Y% j7 ~# f
Relative number, 相对数
* K5 v% c- D: ~ _6 qReliability, 可靠性
" @% Z7 K/ {$ C' {, r3 IReparametrization, 重新设置参数
) U* E( y9 w0 D/ z5 z4 ^Replication, 重复2 ~! e5 X9 n p% N0 ^8 ^
Report Summaries, 报告摘要$ z- l, ?$ D% f$ o* B# V
Residual sum of square, 剩余平方和5 {9 h! ?3 G; I, |! h3 g7 Q
Resistance, 耐抗性6 j5 I$ ]* l$ [. w8 K6 ^
Resistant line, 耐抗线
4 I$ T# v' H7 m0 }( |2 w4 MResistant technique, 耐抗技术$ \: F+ X- Z7 B/ Z9 P3 k
R-estimator of location, 位置R估计量
) E4 ?2 X# G2 ~0 j8 o6 XR-estimator of scale, 尺度R估计量
* G2 N3 K. _( J5 l4 g' c+ p" ]Retrospective study, 回顾性调查
$ y2 ^5 f% P" g! a9 G g6 X1 {. NRidge trace, 岭迹
- B& T n1 H% jRidit analysis, Ridit分析$ m5 @; r& E1 Y6 y8 K! ?' Y* R
Rotation, 旋转
+ G& f$ h9 K1 rRounding, 舍入
5 |+ x& F3 A+ o% f. y$ u- xRow, 行
* V# w+ E: F3 U7 V. r9 t4 _2 l9 rRow effects, 行效应* h2 J" {# u9 c6 S' |$ T# M7 J
Row factor, 行因素
, U( b* o6 |0 L3 F8 z/ O" q' RRXC table, RXC表
8 i: ?# t! [# ?! M6 C4 TSample, 样本4 [& E7 Q" x$ g# w4 S% Z
Sample regression coefficient, 样本回归系数$ Y6 F& Z* E. |. R; p
Sample size, 样本量. Z4 B" c. u3 y5 l5 J( A
Sample standard deviation, 样本标准差, k5 @' S3 E) c$ ~6 L5 U
Sampling error, 抽样误差
0 [8 E% T# J+ f$ Q$ ] LSAS(Statistical analysis system ), SAS统计软件包! m: s' G+ G/ `# P( ~1 Q! c
Scale, 尺度/量表
2 X8 \' q6 K& K" \Scatter diagram, 散点图4 e5 `: P; r# `
Schematic plot, 示意图/简图( A, P' |' {& @: A0 S% B" D( q
Score test, 计分检验3 l/ R4 Q5 f; C
Screening, 筛检- p: y2 D( n: I1 M
SEASON, 季节分析 * D S- g! ?# P
Second derivative, 二阶导数
1 k' y f, W2 \" }# LSecond principal component, 第二主成分
% P- `3 h; d) A1 iSEM (Structural equation modeling), 结构化方程模型
1 [- f! |: `0 C# v0 FSemi-logarithmic graph, 半对数图9 h/ `2 ?5 }1 ?& J0 S) P |
Semi-logarithmic paper, 半对数格纸' f8 ^3 O# @; g+ T2 w" V8 b# `
Sensitivity curve, 敏感度曲线
0 N0 Y9 ] f% D1 F7 {Sequential analysis, 贯序分析
1 [. F5 E! k/ M3 B5 r( I$ \4 zSequential data set, 顺序数据集
; C' Q f+ |2 b2 X- nSequential design, 贯序设计 R% T+ U6 I& p* W; B
Sequential method, 贯序法, X8 x# X0 C* h; s: Z, V
Sequential test, 贯序检验法0 _. F. g4 G# k1 e& o
Serial tests, 系列试验* G' e6 U) s' R( U
Short-cut method, 简捷法
: D d, x2 j3 ]4 n9 P" l$ NSigmoid curve, S形曲线! G5 X% J" a. p/ j5 T4 g8 k: _- G. \
Sign function, 正负号函数* G6 _( {1 g( [' x- y8 X
Sign test, 符号检验2 p4 t7 N# K0 n* K( M* h$ b
Signed rank, 符号秩 |+ A4 b' C4 z E
Significance test, 显著性检验
8 I# z9 O8 i, Z4 A% kSignificant figure, 有效数字 ^/ g5 L5 K5 r# }' S/ H+ m
Simple cluster sampling, 简单整群抽样, _8 a: Q" b, D1 F* R
Simple correlation, 简单相关
5 F8 |) |0 [; V' K, Z9 Y- VSimple random sampling, 简单随机抽样
4 e$ K1 h$ R l4 f c, q: zSimple regression, 简单回归8 O" C) }1 u7 s& W; Q
simple table, 简单表
* c/ O4 T+ c; S/ |) ]2 lSine estimator, 正弦估计量, B. c6 Q0 z* c: o. |6 W: D8 M& F
Single-valued estimate, 单值估计! y2 r* A$ F! C
Singular matrix, 奇异矩阵
0 L4 F/ g& ^2 Q7 \9 aSkewed distribution, 偏斜分布
; X R+ J$ N* t8 e2 GSkewness, 偏度
$ `0 Z& U4 v) M* ESlash distribution, 斜线分布
, v7 ^2 p6 T% f- y7 [4 BSlope, 斜率4 s; `9 R5 V' {+ }+ S% K2 P
Smirnov test, 斯米尔诺夫检验
' G$ e. G( E' F% x: i1 n1 T4 D9 WSource of variation, 变异来源
0 d! i6 h# U- ]Spearman rank correlation, 斯皮尔曼等级相关
! k- C2 ]9 d; ?0 e9 c: F6 L @4 U3 w* \Specific factor, 特殊因子- c! d; E4 V' Q
Specific factor variance, 特殊因子方差
) p( D1 h* k4 W2 I0 B, Z5 ASpectra , 频谱, _" j* F! V1 D y, ~2 k l1 l
Spherical distribution, 球型正态分布
5 o9 M! B8 N, u9 y2 L2 ~, t6 ySpread, 展布
7 r0 k. f+ I5 a" ~: a! g7 nSPSS(Statistical package for the social science), SPSS统计软件包+ b! w$ }" i$ a9 \6 R0 S- }+ }
Spurious correlation, 假性相关
1 a# f1 y' v* z* M7 v- oSquare root transformation, 平方根变换, M/ ?7 C3 t) ^
Stabilizing variance, 稳定方差+ U, D8 p, O8 L6 C, B; Q
Standard deviation, 标准差+ u( v) K; b0 t6 b; s
Standard error, 标准误* }/ V% _' k6 C o; y! K
Standard error of difference, 差别的标准误1 j' K! G! ]6 a" B% G0 [$ v7 Z4 @
Standard error of estimate, 标准估计误差5 o3 q+ d) h @6 @
Standard error of rate, 率的标准误
3 s) C6 U" U" F" lStandard normal distribution, 标准正态分布
1 v2 J9 q5 r# v: A9 `Standardization, 标准化1 q- k2 A- e7 v8 m) { N/ ^
Starting value, 起始值0 z7 R: l8 E5 K6 U3 h7 M8 {# C/ L2 p
Statistic, 统计量
* ?; S0 g; n3 O$ g. {Statistical control, 统计控制
! X7 c$ j' Y: L( [Statistical graph, 统计图1 d% V1 f: d3 J. K
Statistical inference, 统计推断
$ v/ s P1 N+ J$ j8 EStatistical table, 统计表9 W# b3 Z- R: r* e- W1 k8 A
Steepest descent, 最速下降法' E/ _" S& `" I9 @9 f, m. q+ _
Stem and leaf display, 茎叶图
- f( R6 C8 J( i* l! I' v) wStep factor, 步长因子$ l; _2 X; N4 ]0 M4 J+ @
Stepwise regression, 逐步回归- T% n" H+ q( z. p1 t1 V
Storage, 存3 y& d# c C$ W: _% \# x( h
Strata, 层（复数）
7 z, y5 ]$ Z4 U- ]Stratified sampling, 分层抽样
3 @/ q# s5 h* pStratified sampling, 分层抽样
5 x" U/ `3 H4 }2 a5 V: EStrength, 强度
. }( E. R' Z6 q: L, s: JStringency, 严密性( ]: X5 R& [; ~& M+ B9 |
Structural relationship, 结构关系9 V3 T: D. C0 P8 T6 C1 L
Studentized residual, 学生化残差/t化残差
7 ` p" a7 j+ u; A+ R: o9 O) h* P& qSub-class numbers, 次级组含量
1 o7 u$ Z2 V, `6 GSubdividing, 分割
5 _7 F) i3 K$ h$ b- @" lSufficient statistic, 充分统计量
9 a/ {6 C7 _6 G. R$ }4 ?8 ~: GSum of products, 积和
% \* B- c: I7 [) g' \% HSum of squares, 离差平方和# l" F3 X f( l; B! H' }5 K
Sum of squares about regression, 回归平方和
2 t" I4 ], |3 D8 ZSum of squares between groups, 组间平方和
0 `3 E. p5 g) d* T* O* N; q0 |Sum of squares of partial regression, 偏回归平方和
& v$ q0 a5 ^2 p$ ]3 J( eSure event, 必然事件( i5 M5 A9 | S! d6 L) e
Survey, 调查9 _: Y; `8 e% } E( J; {/ H
Survival, 生存分析! ?/ j8 D( N' c/ ~' x y
Survival rate, 生存率
# T! V! e% N5 ?1 zSuspended root gram, 悬吊根图- c+ g3 y; `' F% r, G' q
Symmetry, 对称
2 d' U( T' B- T J2 tSystematic error, 系统误差5 J! O. F' K. D* @
Systematic sampling, 系统抽样: p j. i: F! z
Tags, 标签' P& s4 Y/ P: c, y/ p2 q
Tail area, 尾部面积: H$ w# ]0 p. u
Tail length, 尾长
0 m3 J4 [" ?7 l1 ?: v: G" uTail weight, 尾重% ^9 I V9 K0 Y7 ]
Tangent line, 切线, A! v8 G& j2 ]+ f
Target distribution, 目标分布 O& o5 s# R0 r9 h
Taylor series, 泰勒级数% ?' O8 m" B+ T3 e* Z' u
Tendency of dispersion, 离散趋势
1 Q) T# K- Z& p1 B# oTesting of hypotheses, 假设检验. `4 F. c- s" e8 y' s3 c
Theoretical frequency, 理论频数
4 ^4 ?+ J* T! y4 I( }! C2 qTime series, 时间序列5 U( O D$ ]' l; s
Tolerance interval, 容忍区间
$ B2 q3 B( J7 [* ^7 n5 N: f# U9 HTolerance lower limit, 容忍下限
H7 @! _' ]5 C* `* z5 ?/ oTolerance upper limit, 容忍上限# J1 B7 |6 `/ D
Torsion, 扰率/ k3 ]8 \2 q+ Q0 ]8 }; D2 p
Total sum of square, 总平方和! C. z8 F( ~, d1 c8 f
Total variation, 总变异
1 P. a u3 a$ z4 ?" P4 w# Y. YTransformation, 转换- p! \% j | l2 y/ @) Q5 t
Treatment, 处理" f& g* _! A' ]: }) [
Trend, 趋势
/ a! Z' X7 f8 g2 |Trend of percentage, 百分比趋势/ X9 E( _! W) a- E: O% b# j$ N
Trial, 试验
2 l; i- U' |' z( q. pTrial and error method, 试错法/ B1 M2 W# @: V' p4 h
Tuning constant, 细调常数. e& k) Q! g& i$ ^
Two sided test, 双向检验1 o* y" p, W% F! F
Two-stage least squares, 二阶最小平方 z! Z: u$ L7 b. _% F/ W- v9 s; y
Two-stage sampling, 二阶段抽样9 q6 _% [: }( G+ G
Two-tailed test, 双侧检验
0 }0 R0 m4 F" M; d' BTwo-way analysis of variance, 双因素方差分析
$ c" l2 H, |; o2 ^7 rTwo-way table, 双向表6 U6 T/ k( f9 X" c
Type I error, 一类错误/α错误& j5 ]: M, p; \: y
Type II error, 二类错误/β错误4 @( [5 p, e9 A9 V, o& E4 J
UMVU, 方差一致最小无偏估计简称
7 k. e9 ]; \; Z2 z; t( pUnbiased estimate, 无偏估计
' P, D" T) z @9 e" c- [& t1 XUnconstrained nonlinear regression , 无约束非线性回归$ Z" ]5 k$ l" e& o7 T. c& e5 A. G
Unequal subclass number, 不等次级组含量# f5 Q# Y, }0 g5 }- O9 _! m/ w
Ungrouped data, 不分组资料" Y9 v( A$ ~" j% ^, `' _9 e
Uniform coordinate, 均匀坐标
& v8 E/ F; B, k/ X( OUniform distribution, 均匀分布$ P$ N4 [- P( h
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
+ y; f* x, B# Y( @Unit, 单元9 o, u! f) H4 U' `
Unordered categories, 无序分类
# _ K2 q0 i4 s! r% zUpper limit, 上限, X9 H0 \* X6 X- Q* w
Upward rank, 升秩
$ o( @7 c) e F1 f d9 R- ^; hVague concept, 模糊概念
( r: G7 v. ^7 C( x- l P }9 nValidity, 有效性
4 U3 t* C9 e3 p& Z+ \) }VARCOMP (Variance component estimation), 方差元素估计$ L* m% a" X6 I$ R. D4 Z" h# U! p1 E
Variability, 变异性" G$ g E- o) e3 U* M; N7 U8 H, j4 T
Variable, 变量
" |2 _& g6 d" X: M, q0 P$ Q/ N! PVariance, 方差: R3 N6 @' F, ?( d/ `& V. x( V9 o. D
Variation, 变异
1 P$ k6 x& d) @3 _2 RVarimax orthogonal rotation, 方差最大正交旋转
6 S; j m: \+ f/ {$ M6 f/ w) @Volume of distribution, 容积: |' @) M8 W/ @- K' g2 o, a$ a2 g- }
W test, W检验
+ l, z: W4 N( Z O4 Q3 vWeibull distribution, 威布尔分布& d$ M ^/ W Y+ q& S1 x
Weight, 权数- f4 i' t3 {7 G* ]7 q8 x6 F
Weighted Chi-square test, 加权卡方检验/Cochran检验
# r( G0 d; h$ C9 zWeighted linear regression method, 加权直线回归& L* I& V% q U1 `# A. z N
Weighted mean, 加权平均数' ~3 x. Z4 V# U+ x! d( k
Weighted mean square, 加权平均方差. h w ?5 p: t- m- O" p. I" p8 l
Weighted sum of square, 加权平方和
1 O0 O: ^$ b3 \) Y6 |4 T( gWeighting coefficient, 权重系数
* n$ i" P# J/ jWeighting method, 加权法
! Q! Q( i4 J9 Q: b( O' T+ M; c! ?* C+ C$ jW-estimation, W估计量
# A) K+ I/ ^ HW-estimation of location, 位置W估计量( o4 Q' b+ Z" f) A0 }/ y
Width, 宽度) D* c ^$ m* C6 }* M3 X( X6 j9 v
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
/ x$ K3 H+ {: I# q; V' k+ k- YWild point, 野点/狂点. _% A, D, I1 i- H4 d4 I
Wild value, 野值/狂值% S* J% }1 ~! ?! n( D
Winsorized mean, 缩尾均值
! E% G4 x. x2 {: F$ z9 `Withdraw, 失访
' {5 p1 J1 G" x$ J* x, PYouden's index, 尤登指数
6 E, C) j2 ~3 W. z) @" `* NZ test, Z检验. ~1 M* [4 o' z
Zero correlation, 零相关( i$ N# S6 V( w
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
