|
|
Absolute deviation, 绝对离差
4 R& w9 ~+ a% y. ^8 U( lAbsolute number, 绝对数
: }8 U+ h+ N2 XAbsolute residuals, 绝对残差" ?3 f; z5 w1 c! S' A7 U0 F; C
Acceleration array, 加速度立体阵' Z: g: m' W$ y7 p* W* O
Acceleration in an arbitrary direction, 任意方向上的加速度& |+ l' t* W" N( W, g# I+ C) E7 `
Acceleration normal, 法向加速度
* g, |) Z; c4 M( X( J( h. T& v2 NAcceleration space dimension, 加速度空间的维数, g$ W2 ~" | R W9 E6 O# O
Acceleration tangential, 切向加速度
1 w0 E& Q: ^7 N$ k0 YAcceleration vector, 加速度向量
' L9 Q! ~% a8 w* x% BAcceptable hypothesis, 可接受假设6 h2 K" ]+ a. N/ f
Accumulation, 累积
1 M0 `4 p* T+ {/ l- Y# `Accuracy, 准确度4 W. h# C- A; ? ]) L$ N9 b; s5 }
Actual frequency, 实际频数
. ]3 I2 i0 A; k b* FAdaptive estimator, 自适应估计量 j1 O% I, H+ b3 _
Addition, 相加
; d) `2 _( s0 m, M- [7 p) e+ |Addition theorem, 加法定理
- v% u6 D b8 g) q9 KAdditivity, 可加性
7 Y2 h ~) m* LAdjusted rate, 调整率7 z- A z/ U" s& F! |
Adjusted value, 校正值
$ R6 ~+ W2 [" O& q/ C3 B# @4 KAdmissible error, 容许误差! @3 L6 y8 k" W- F
Aggregation, 聚集性% p$ u- P9 ? X T4 ]5 _, e# m
Alternative hypothesis, 备择假设5 e$ W: Z6 C. {2 ~% n8 B+ d1 u
Among groups, 组间
6 B# f2 |* V7 AAmounts, 总量
; ~. t/ x, k4 e# vAnalysis of correlation, 相关分析$ A: S- v O+ A: ~( p
Analysis of covariance, 协方差分析
& K, e* w0 ]+ W) [' G) uAnalysis of regression, 回归分析7 u( G, Y9 N- | Y+ P! x$ _8 `
Analysis of time series, 时间序列分析
C$ r6 ^8 B# S* P {1 w( Q0 IAnalysis of variance, 方差分析2 }2 ~2 Q2 Z* ~9 l9 g/ p% i4 o( n* ~
Angular transformation, 角转换
' E6 K) S0 [0 u pANOVA （analysis of variance）, 方差分析
, D1 V0 i% R: K. C4 EANOVA Models, 方差分析模型% _5 z4 c; B) ?% b, o- j
Arcing, 弧/弧旋7 b4 `$ Z* Y7 e
Arcsine transformation, 反正弦变换* y8 E r. j( _4 {1 C2 K% B, q7 Q
Area under the curve, 曲线面积! x" _2 V8 [$ C) w" t
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 8 t ^+ l4 w" F/ B( y, h
ARIMA, 季节和非季节性单变量模型的极大似然估计 . z1 A" m* K4 E! W4 E, f8 s
Arithmetic grid paper, 算术格纸! R# f9 W. I' D- ]; c
Arithmetic mean, 算术平均数6 I. P5 Q! S4 R$ X4 e) V
Arrhenius relation, 艾恩尼斯关系
# W0 L5 S, {4 N3 r( x3 x( E" ]Assessing fit, 拟合的评估
& k7 `. L# ~$ G) eAssociative laws, 结合律6 c7 h: X2 @4 S! E F
Asymmetric distribution, 非对称分布& S/ X7 F9 i. r8 q6 b3 L
Asymptotic bias, 渐近偏倚# A2 W f" H# J' ~
Asymptotic efficiency, 渐近效率
2 @2 X5 L/ p# I' n* ]8 y Z |Asymptotic variance, 渐近方差
1 z5 M5 H9 G1 \& K7 F" EAttributable risk, 归因危险度7 {, `* E' g# U; \$ e. q0 P
Attribute data, 属性资料1 m }5 H2 g9 i4 @
Attribution, 属性! q: }- K2 Q- e( l4 _
Autocorrelation, 自相关
# g6 C5 G% b. w6 i$ {# TAutocorrelation of residuals, 残差的自相关
: \& X$ m6 C) _7 s1 b: SAverage, 平均数
* N! S$ @' p$ sAverage confidence interval length, 平均置信区间长度1 S, l6 K+ p* b# O7 V$ n1 z, r
Average growth rate, 平均增长率/ X# c p" i8 o$ S" E6 B
Bar chart, 条形图
+ n" L% p4 g/ h/ T; a; H) G& JBar graph, 条形图
+ x9 p, W( |# ?$ X" A. gBase period, 基期4 G$ c$ s/ V3 e3 B
Bayes' theorem , Bayes定理
" P6 I9 [ o, g- r+ B5 zBell-shaped curve, 钟形曲线
! Q+ l$ a' B/ X8 ^( g; VBernoulli distribution, 伯努力分布
# x; f' v3 ~' M4 P0 H6 xBest-trim estimator, 最好切尾估计量
6 n: J v0 |7 Q4 B' NBias, 偏性
" @! D# Y% b% s% I4 J/ X6 y1 |Binary logistic regression, 二元逻辑斯蒂回归8 {$ }- ?! ?, V8 i3 q6 V% b
Binomial distribution, 二项分布
b9 Z* ~. f, s8 PBisquare, 双平方* e8 G j! e8 e
Bivariate Correlate, 二变量相关
, R. g0 v& s$ J2 \) s0 GBivariate normal distribution, 双变量正态分布
* a4 x* E5 B$ m3 G5 \0 GBivariate normal population, 双变量正态总体7 G$ w! n& e5 }* W1 P
Biweight interval, 双权区间" D; @! A3 K, W! T6 e) k0 }+ S
Biweight M-estimator, 双权M估计量9 t9 c; n7 V% R
Block, 区组/配伍组9 y, r4 l; F1 ]+ N. x: S
BMDP(Biomedical computer programs), BMDP统计软件包2 ^2 ] m2 x) l% T* h, }2 l
Boxplots, 箱线图/箱尾图
2 T8 V- e" Q0 F7 T: l# r& E. ~) ?$ ABreakdown bound, 崩溃界/崩溃点" k4 n1 E- X7 ^/ v3 \
Canonical correlation, 典型相关
& |' E4 i. a k7 r# K, DCaption, 纵标目- T' {( a. X, a8 g! x
Case-control study, 病例对照研究& ]" b1 t. c. X1 o5 ^: I
Categorical variable, 分类变量9 U# y9 u* O( `4 l0 K* |# F6 [! y
Catenary, 悬链线
7 T5 O' r7 t& ]! W6 j" f W3 cCauchy distribution, 柯西分布
8 n, H ?7 L" P: O* w$ |+ ICause-and-effect relationship, 因果关系
3 W1 U4 q5 D4 K/ P YCell, 单元
/ X/ k. _. X& Y0 ECensoring, 终检0 t, |* z1 T8 ~3 p8 i$ D8 _) T4 Z
Center of symmetry, 对称中心
. B, }% E! ]8 U- \Centering and scaling, 中心化和定标
4 x, \3 @( X: O! gCentral tendency, 集中趋势
0 s. R2 Q* F0 g( O. Z( M4 ?$ D& fCentral value, 中心值3 L% U% t8 [, s
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
2 Q/ b" a* a) ^. r9 ^! zChance, 机遇
I# A! ]7 x7 tChance error, 随机误差! [4 b2 U- J6 P5 \: ]- f
Chance variable, 随机变量
+ k g+ ]2 \7 b. @5 I8 {Characteristic equation, 特征方程
$ E. j% s# b3 N# z0 P4 nCharacteristic root, 特征根
' y: | V$ X7 P' F( SCharacteristic vector, 特征向量2 Z8 c, q+ u1 G# Z0 | ?( m ]/ I# q
Chebshev criterion of fit, 拟合的切比雪夫准则
4 i, z. K. T# a/ w7 s0 iChernoff faces, 切尔诺夫脸谱图
& T' d2 i" F5 ?7 N+ x* ^- L" ]Chi-square test, 卡方检验/χ2检验
3 O7 d2 o% i$ b1 `2 {1 h" E! D) KCholeskey decomposition, 乔洛斯基分解5 a* g( [8 T5 A8 u+ l+ K# _
Circle chart, 圆图
5 N( w- y U5 SClass interval, 组距: N- R4 C+ ?- ^
Class mid-value, 组中值+ P2 A% y4 ], _/ ?# u
Class upper limit, 组上限
1 `( s4 e3 k, G2 W$ G, T& lClassified variable, 分类变量) \2 a% ^, D' O' n8 N0 B
Cluster analysis, 聚类分析
1 U$ E6 _' W# l2 \. t6 ICluster sampling, 整群抽样
8 ^# D8 x) l7 M; W3 F9 zCode, 代码7 T- j3 x2 D. N {" P) K7 D) ~; M
Coded data, 编码数据
c7 s+ B4 e- U; e) ^8 h4 M& wCoding, 编码% }1 [- f$ W, W6 R% V; M
Coefficient of contingency, 列联系数; x% B( n) k- m
Coefficient of determination, 决定系数
4 X) ~$ [7 @$ A% N! k" h8 `Coefficient of multiple correlation, 多重相关系数; \7 [6 e. b9 S; z @: L" T
Coefficient of partial correlation, 偏相关系数+ q+ r3 }! d$ |
Coefficient of production-moment correlation, 积差相关系数
5 D: x! ~6 M0 f+ x' j! bCoefficient of rank correlation, 等级相关系数
4 B# [' Q. }# Y+ P$ r5 H" d& YCoefficient of regression, 回归系数
7 K/ b( C* g0 I, ECoefficient of skewness, 偏度系数
4 Z$ D. C* R/ i6 H; F0 H. m4 d6 \Coefficient of variation, 变异系数
M/ L6 U0 \0 S& a5 }$ U# eCohort study, 队列研究
: `) R4 ]5 C7 M( P1 k9 R+ ?$ {Column, 列
8 R& E. x2 D; b8 H2 q' r n" eColumn effect, 列效应
) ~* \/ J' e) q% P, ZColumn factor, 列因素
. e" w) f2 Z4 a7 pCombination pool, 合并
$ x0 }. B- B& G6 \- eCombinative table, 组合表
& U. Y! \/ |2 U; K: `" ~Common factor, 共性因子
# V& D6 m2 X" e/ X+ ]7 Q" |Common regression coefficient, 公共回归系数
& H( ?8 G5 Q, G* a; R$ BCommon value, 共同值" b2 ~3 c$ n: N. J
Common variance, 公共方差
1 ~. [0 B6 {) PCommon variation, 公共变异% V& Z; J; z9 H$ D0 K
Communality variance, 共性方差4 x: Q5 ]3 @8 ?( e3 J
Comparability, 可比性, b& \2 N# c4 \$ Q( B
Comparison of bathes, 批比较
) G5 R6 B( j+ y% j& `& R1 wComparison value, 比较值
7 \9 \9 @3 v0 m* ?6 S! ^# hCompartment model, 分部模型1 R" D5 i% v1 E; }
Compassion, 伸缩5 R7 I* q' `9 f. E' t, L
Complement of an event, 补事件
& Z7 v5 R0 ?* |, G- p! c d5 vComplete association, 完全正相关$ E% E/ @4 J* L5 [0 k
Complete dissociation, 完全不相关
6 \; S2 Z5 r% L6 z4 aComplete statistics, 完备统计量+ D+ w. j, F; T) E$ n- \
Completely randomized design, 完全随机化设计
1 h- Z% |1 D8 z' HComposite event, 联合事件, E! V5 k6 j9 @, J. D
Composite events, 复合事件: J4 J I( y0 ^% p) G
Concavity, 凹性2 ~$ F5 \/ g% ?+ r! E: A1 a
Conditional expectation, 条件期望8 ^ j) {* l0 i+ s0 T, w r
Conditional likelihood, 条件似然+ R9 W/ q* u6 U3 [
Conditional probability, 条件概率
5 h0 c* Q0 h; V+ U7 c8 fConditionally linear, 依条件线性
- M0 ^ L9 t! W4 J6 [Confidence interval, 置信区间# H" a7 y2 l0 B% A' |- ^8 p
Confidence limit, 置信限1 n9 W& a! E" \; m4 Y
Confidence lower limit, 置信下限
* ^3 P- H- X( `3 L) B$ F( rConfidence upper limit, 置信上限
- ^3 i0 a9 k, U nConfirmatory Factor Analysis , 验证性因子分析* @: o$ K1 {0 a* B. H
Confirmatory research, 证实性实验研究
% J# ^4 h( ]. e. I8 h6 Y- }4 k' {Confounding factor, 混杂因素
A- T$ _% Y0 G0 P1 c6 ?Conjoint, 联合分析
9 H \0 B: p; t( S; w+ u3 A) ^Consistency, 相合性
" O& v9 H$ o+ w8 ?$ CConsistency check, 一致性检验
) J# z3 j) a4 gConsistent asymptotically normal estimate, 相合渐近正态估计" }5 B: `; b" z5 C$ Y Y' ?
Consistent estimate, 相合估计& D) F. {$ V% g! `: k/ i8 ~0 C
Constrained nonlinear regression, 受约束非线性回归
+ r6 C4 d+ T* ?1 p5 cConstraint, 约束- {8 j. E$ E) Y, k$ N/ T' }+ W S
Contaminated distribution, 污染分布
% [- v+ y0 _9 R" Y8 @6 XContaminated Gausssian, 污染高斯分布
& k! Z/ Q% k1 z, b% ?4 XContaminated normal distribution, 污染正态分布4 Q. G% N! `; }* [
Contamination, 污染5 \% W# }) q4 S- g
Contamination model, 污染模型0 d$ \3 P6 u S% X/ l& a
Contingency table, 列联表* ^2 k2 B* ]" J M! m1 \4 d2 `! `
Contour, 边界线7 j3 X% y# ]5 v
Contribution rate, 贡献率
. O" w: l' s# \2 L: q* VControl, 对照" M% J+ e; _, N) j3 \) T
Controlled experiments, 对照实验/ `( B$ Z" T3 P! y7 ?" V
Conventional depth, 常规深度
( X" e6 H4 k4 t* J+ G- ] J5 OConvolution, 卷积 u) |0 c; E' A; J9 v( G/ U
Corrected factor, 校正因子
8 D5 M7 F& h! v) aCorrected mean, 校正均值
. K0 a1 Z0 F- V2 Y1 _2 MCorrection coefficient, 校正系数
2 S3 B4 v% J7 n% h; a. W2 |8 iCorrectness, 正确性
; o. n; ^& V! b' MCorrelation coefficient, 相关系数) [& [* L! u. j2 {$ ]( {; Q/ c
Correlation index, 相关指数
D+ M6 U' S0 o: |Correspondence, 对应
1 n' ?. f# E' e5 V0 t7 tCounting, 计数' Q) j# [, }5 z6 {8 S3 z' \* H" R
Counts, 计数/频数2 S) f, _* p& L6 }8 `
Covariance, 协方差0 N* c( I6 \) X: B. |0 ~! ~
Covariant, 共变
( c4 e! M( T% q4 aCox Regression, Cox回归
! ~# ~6 V' ]& C/ S* N5 PCriteria for fitting, 拟合准则
$ E0 ^, t8 V; b+ d# gCriteria of least squares, 最小二乘准则
3 d* T' ]# A! J }- U* V( d, L: B( KCritical ratio, 临界比4 w: w' ^+ u; s2 K% `
Critical region, 拒绝域
2 I* s7 R9 d; kCritical value, 临界值* |( s2 _. Q9 D- x
Cross-over design, 交叉设计1 D2 x: p a9 F8 C
Cross-section analysis, 横断面分析4 j4 i3 V! N" k+ r! y6 W
Cross-section survey, 横断面调查
9 |) m0 U! m+ H; g j9 H1 ~6 _Crosstabs , 交叉表
# g4 G. b* w% b. h" BCross-tabulation table, 复合表
% t# b' C. K+ B1 h! V0 T+ \& P# r& b5 dCube root, 立方根/ E$ v6 ~3 D7 A4 r: [8 x
Cumulative distribution function, 分布函数: X0 [' F6 L- Y- N, c1 V8 t
Cumulative probability, 累计概率
% y: {+ n$ ?5 J+ M! }Curvature, 曲率/弯曲
/ {) ~6 H5 ^; j) N7 RCurvature, 曲率* X0 Y: Y: U/ l
Curve fit , 曲线拟和
& a: E- h7 O* y7 H) ?% S# DCurve fitting, 曲线拟合" d( p+ X( B9 w9 p1 i
Curvilinear regression, 曲线回归+ X4 w2 k- N9 \( B/ G4 w3 t, `
Curvilinear relation, 曲线关系
$ v0 `0 \2 N# Y& }% C1 |Cut-and-try method, 尝试法
\/ ]7 r# O T& l/ bCycle, 周期
7 z1 E" ?3 |, O! o7 |5 mCyclist, 周期性
- O% b3 j: R! g6 z, MD test, D检验# W4 J5 H4 ^2 _4 K; v1 u/ r i
Data acquisition, 资料收集, w j. P9 y: p2 L* n f
Data bank, 数据库
- V/ `+ c' |5 {; y/ C% tData capacity, 数据容量
' F! f. A; C- C! lData deficiencies, 数据缺乏
9 A, R3 b- G4 T5 F+ x) zData handling, 数据处理# A$ M; T+ `' ~6 j' [/ I f! t
Data manipulation, 数据处理
, L& R8 U/ T; n6 ]Data processing, 数据处理
2 I! t; i1 h1 ` p* P* T6 RData reduction, 数据缩减% J* g* [9 x+ s
Data set, 数据集
2 B5 \. C6 F, Z- {3 {Data sources, 数据来源: O+ ?. m7 x* d) `5 a7 {' e* w
Data transformation, 数据变换
1 J5 c3 }+ `$ m! RData validity, 数据有效性
- Z3 Q4 C0 J5 hData-in, 数据输入4 O1 T3 _# P+ v+ I" g4 r% {
Data-out, 数据输出3 j7 K0 K% M4 l( O8 V
Dead time, 停滞期8 i9 ?+ E- m) p$ ]/ \
Degree of freedom, 自由度% F2 u" {' h4 l+ u! [' j% J8 `- r$ n
Degree of precision, 精密度
1 {. _& J, w- K% B6 L( N5 p! e9 CDegree of reliability, 可靠性程度4 |; H3 Z5 B E) `; {7 I, d+ r
Degression, 递减
/ f; H: ?! e2 w7 TDensity function, 密度函数: [$ F8 [, | S, N+ ]6 Y' g
Density of data points, 数据点的密度
" ?3 J# O" ^9 X2 l) C! TDependent variable, 应变量/依变量/因变量
* G% g5 l1 |, K- m% ?1 BDependent variable, 因变量4 G( h) t5 _) R' g) Z! r& t* H; N4 d
Depth, 深度4 J2 j% a r: d' q. Y
Derivative matrix, 导数矩阵" F1 V) c$ m$ m( j9 o/ P
Derivative-free methods, 无导数方法5 ~& z9 c! [+ _
Design, 设计
7 \) |' _1 Y9 IDeterminacy, 确定性
$ e8 X0 @) [! A! mDeterminant, 行列式
( `7 P' ]7 }% _9 j1 N. p. y8 JDeterminant, 决定因素
7 @6 O4 U I% ^: A/ ^0 `- ~Deviation, 离差
& d* o @7 k0 f8 f [0 x6 @9 zDeviation from average, 离均差
2 a9 ~* o( w/ Y; }" Z ODiagnostic plot, 诊断图: E* A. i& [3 W; r* a/ v: g
Dichotomous variable, 二分变量
0 s3 T4 r! B+ @$ H( ~8 F oDifferential equation, 微分方程
( }/ j: L4 U) \6 {7 V# FDirect standardization, 直接标准化法) S2 P1 {- j/ \' k
Discrete variable, 离散型变量
9 r1 B* B1 K' TDISCRIMINANT, 判断 " ?6 c' Y; j: \7 r
Discriminant analysis, 判别分析
/ S+ J5 [+ ]& xDiscriminant coefficient, 判别系数/ k2 `* K" ~ O( O7 n ^& b7 A T1 f
Discriminant function, 判别值
" u6 `8 Y, ^; z' {Dispersion, 散布/分散度/ j1 I1 [& I, y. W: g0 ]* I& _9 n G
Disproportional, 不成比例的
$ _" X# E5 P3 l, D/ ODisproportionate sub-class numbers, 不成比例次级组含量9 D" q0 ~2 I: L0 H
Distribution free, 分布无关性/免分布
( s1 n6 V$ [6 M: ~' eDistribution shape, 分布形状4 ~2 D( z. v3 }
Distribution-free method, 任意分布法0 D) a$ w6 e) C s
Distributive laws, 分配律
- N0 r& N3 F+ eDisturbance, 随机扰动项
" K" i, V; h1 K: h6 d2 aDose response curve, 剂量反应曲线& O; e4 R4 \! g2 l
Double blind method, 双盲法
5 E: A- K3 }: M; y) Z9 ~9 VDouble blind trial, 双盲试验* O ~ y. X2 Z0 K# c& o+ Y$ y
Double exponential distribution, 双指数分布
" P2 W+ Z! F, S5 Q ^$ n2 N& bDouble logarithmic, 双对数& o' V7 n% |' [+ L2 ]. ^+ e
Downward rank, 降秩
$ Q' L, U% y5 i+ X* V& ?Dual-space plot, 对偶空间图
& Q1 y) N& _6 ~1 TDUD, 无导数方法; M# V1 U% }: Q9 {5 z
Duncan's new multiple range method, 新复极差法/Duncan新法6 B8 J. V8 J- m9 F, |
Effect, 实验效应8 j: e7 Z% T+ G8 l6 S0 V# @4 B! k0 z
Eigenvalue, 特征值
1 D7 D7 N% E6 L/ y0 i* LEigenvector, 特征向量( E! h# x; e7 K/ a |' ~: i
Ellipse, 椭圆
k# @# x1 h" UEmpirical distribution, 经验分布
' P7 D3 P+ z I4 iEmpirical probability, 经验概率单位1 ^: v* f1 \: E/ u- n5 u" A" |
Enumeration data, 计数资料
) n( A& W6 H6 dEqual sun-class number, 相等次级组含量
% _+ A6 b% ^7 {% U8 Y) i' a$ REqually likely, 等可能
8 I' ^6 {& x% dEquivariance, 同变性+ N% ?4 H @# o5 Y: X/ k
Error, 误差/错误
8 U) z0 C/ R: h' T" H- b8 V- V, u* e% mError of estimate, 估计误差# ^' E2 V3 \. ^, O6 s1 |3 p3 b
Error type I, 第一类错误# r' A/ u7 r3 V8 G# o
Error type II, 第二类错误' H, a$ z; w/ N5 i, s& m
Estimand, 被估量
5 x/ X) c4 i* w4 O- fEstimated error mean squares, 估计误差均方# e; A+ ]; K4 m% x
Estimated error sum of squares, 估计误差平方和4 J) J3 l- o, w8 N& H5 M
Euclidean distance, 欧式距离
# ?# {( n! J, {' e; C' eEvent, 事件
; \" w3 D) D; J6 J3 QEvent, 事件( t$ M1 V1 V2 o3 X
Exceptional data point, 异常数据点
# y4 e+ n/ w4 LExpectation plane, 期望平面
* o- o( U2 C% k- `% N. ^- \Expectation surface, 期望曲面, Y& I& U9 ~! Q: I9 t
Expected values, 期望值% x7 N; `7 B; j7 u( \2 O
Experiment, 实验( V9 e6 h* H# x
Experimental sampling, 试验抽样* ?. G( ?( `: \) G
Experimental unit, 试验单位& b/ ~5 `4 {6 z1 \; f
Explanatory variable, 说明变量; r; H, c9 t# c& j" h2 `
Exploratory data analysis, 探索性数据分析
* P$ u4 V8 p! K+ i/ @3 }Explore Summarize, 探索-摘要
+ O2 }. j- z7 {0 |6 {Exponential curve, 指数曲线8 Z$ P k& m) J. }# |3 y
Exponential growth, 指数式增长' J Y3 V% ^/ F4 Z) ^2 J; A) Z
EXSMOOTH, 指数平滑方法 6 ~7 |0 g4 |: ^! \
Extended fit, 扩充拟合
, w' j2 ]* O7 F+ oExtra parameter, 附加参数" D2 }" z% T' l0 G( X
Extrapolation, 外推法
' w. w. o% k" }8 ^, p, L* BExtreme observation, 末端观测值' X9 b3 ]/ ~5 h6 j
Extremes, 极端值/极值# Y t4 r5 b, N3 H6 ?, g
F distribution, F分布0 T- a' V A- W& o e! Y% m1 z" z
F test, F检验
9 U/ [' C+ a2 pFactor, 因素/因子& x; l* Y; C$ Z$ W+ t: W
Factor analysis, 因子分析
& p/ }6 D; C" J4 w5 tFactor Analysis, 因子分析
- O6 c$ k' x1 L4 ^4 SFactor score, 因子得分
5 b9 q8 p, h3 t+ q% `/ n( q cFactorial, 阶乘7 N' ]! p; @) W" I+ }
Factorial design, 析因试验设计8 V1 m6 t0 Y$ i9 @- b
False negative, 假阴性
3 t P+ s, V% I( ~False negative error, 假阴性错误
o9 d5 E/ V& u, X7 J* D4 @6 KFamily of distributions, 分布族 k" m0 \, o) f5 G
Family of estimators, 估计量族. s/ l2 E# P: T5 l
Fanning, 扇面
" x* ]1 v$ K$ M6 |8 |3 j$ h2 y. a( vFatality rate, 病死率
/ b* q4 {6 ?) c8 F6 f/ cField investigation, 现场调查# q+ P! \2 b* R6 F3 \9 t6 V5 g, Y
Field survey, 现场调查
& E- k" v$ `8 O0 t" c# M* KFinite population, 有限总体
* {1 k+ y) |" q2 B6 MFinite-sample, 有限样本
. x9 F% K. M" n4 tFirst derivative, 一阶导数2 Y0 _+ v3 j6 t$ L3 {( S2 n2 F# y
First principal component, 第一主成分7 ]$ M. T7 |5 n) O2 b; @0 ~
First quartile, 第一四分位数
% {8 J A5 e: ]3 @7 z1 ^9 hFisher information, 费雪信息量
; t, }" |) E1 p. {- j# vFitted value, 拟合值. X% ~; n% z# w& ?. G( y
Fitting a curve, 曲线拟合
3 N% s+ l, Z* ]8 `. lFixed base, 定基
4 L- q a0 N7 E, r3 QFluctuation, 随机起伏1 W7 y# m0 R4 ?/ P# n
Forecast, 预测6 S3 w( X$ z& X8 x4 Z9 {
Four fold table, 四格表
! j* E- N/ S7 b3 ]6 v: AFourth, 四分点3 `: Y! d$ f% E+ U
Fraction blow, 左侧比率
& [/ \8 J" {9 f7 b" k2 G4 I! fFractional error, 相对误差6 ?: Y" Y/ k/ j
Frequency, 频率' v. k; E T7 x
Frequency polygon, 频数多边图! y5 `& @6 c# _! y
Frontier point, 界限点+ A, [/ ?" C( R% Q
Function relationship, 泛函关系
; y, B9 G' d. H1 u2 @" ]( yGamma distribution, 伽玛分布
8 b V& f0 x+ E( b# d/ w# hGauss increment, 高斯增量6 _ [$ Z) N& E/ g3 H$ t' X
Gaussian distribution, 高斯分布/正态分布8 ^) W+ q& i: C8 {& |* k
Gauss-Newton increment, 高斯-牛顿增量
4 D8 @& E. C& s1 F2 OGeneral census, 全面普查% n a$ e% o& |0 F+ Y }9 E
GENLOG (Generalized liner models), 广义线性模型 . P5 }3 m- C) S$ p1 P! n5 P. d
Geometric mean, 几何平均数& Y" y, }+ X7 `
Gini's mean difference, 基尼均差& B0 e6 ?/ N, [" ?8 l
GLM (General liner models), 一般线性模型 0 ?" Z& M( u+ y2 E
Goodness of fit, 拟和优度/配合度
1 H+ G% ]# `# Z3 b1 K) ~+ q4 D" WGradient of determinant, 行列式的梯度
% N* C4 J( }3 R" ~2 M3 e3 H/ }Graeco-Latin square, 希腊拉丁方
; L z, d: \- V8 N" N5 fGrand mean, 总均值5 K% K6 n2 V- Q; W# Y& U: ]* }
Gross errors, 重大错误
8 \ m5 H8 m& P# d5 XGross-error sensitivity, 大错敏感度
8 C/ I" K P0 z# hGroup averages, 分组平均6 s/ ?; a# d% f' c
Grouped data, 分组资料
, j3 V9 M# T: L/ v! y4 I' uGuessed mean, 假定平均数
2 w$ k1 r: h# u* W% qHalf-life, 半衰期
/ o7 e' A9 Y0 W3 o9 aHampel M-estimators, 汉佩尔M估计量# ]3 C+ N& B+ R- n
Happenstance, 偶然事件% k6 Y" I5 c3 Y7 f: V0 ]" m
Harmonic mean, 调和均数
+ L9 u9 i8 r: _" K) cHazard function, 风险均数* u" l. q" {8 N
Hazard rate, 风险率. ?2 ^2 }* w) |) Z; N
Heading, 标目
7 S( l0 ` Y& q/ X8 d; cHeavy-tailed distribution, 重尾分布" K% L0 G. k0 h& n% C" B: R/ ]4 [
Hessian array, 海森立体阵
% {# V& e" l7 h8 e! k; JHeterogeneity, 不同质' n Z" B3 ^0 f- U8 O3 i- K' f6 Q
Heterogeneity of variance, 方差不齐
9 ~" l h( C0 l# LHierarchical classification, 组内分组! j7 C: \7 Q3 q
Hierarchical clustering method, 系统聚类法- D" H! q% q. F8 B* C4 h
High-leverage point, 高杠杆率点- f' Z5 _' c5 H- C
HILOGLINEAR, 多维列联表的层次对数线性模型7 i, M ]8 V r- P7 i Q
Hinge, 折叶点5 l4 o% M2 r9 Z( i3 _3 ]
Histogram, 直方图! `3 s& H: j, J0 E, Y: S4 \: a
Historical cohort study, 历史性队列研究 # I; m" n' K0 m
Holes, 空洞0 X5 j. N) M% b: M( [, ^ ?) H, P
HOMALS, 多重响应分析( ^* D# i0 _* g7 t
Homogeneity of variance, 方差齐性
# D" v5 z& |- E3 o$ U; [Homogeneity test, 齐性检验
; Q2 m5 L T/ q; B' Y4 K. |# N1 `Huber M-estimators, 休伯M估计量
# r; @# ^8 d: \. N+ {$ B( kHyperbola, 双曲线7 b7 O, B6 m+ F# a$ i* t
Hypothesis testing, 假设检验
% `' Q7 S! l+ c c; LHypothetical universe, 假设总体) _% G2 P, ^' m l" `
Impossible event, 不可能事件
% R1 ?' v" e4 m- @, Y) |Independence, 独立性
4 N: W; c. H* _: B6 _ h7 cIndependent variable, 自变量
/ g/ B7 C9 s1 }# A3 j% u4 t; _+ sIndex, 指标/指数
% H: ?2 T0 q7 B( \8 zIndirect standardization, 间接标准化法5 J q+ z/ t# E& U3 y- ^
Individual, 个体
9 E* c2 M$ s+ p6 \+ M) ?( VInference band, 推断带
% W, W( ~/ I" o2 A# |Infinite population, 无限总体
* `0 [6 q; x" l. C R/ fInfinitely great, 无穷大& {: V; }6 H" i C$ C8 E4 f
Infinitely small, 无穷小' K: J! \% R6 y
Influence curve, 影响曲线 e' m: r2 B( ^; K$ b; ]
Information capacity, 信息容量
0 e: j S# A* y" ]" S7 O' F JInitial condition, 初始条件
4 I j; v, x7 m y: R8 G* P: d. b5 ]Initial estimate, 初始估计值
6 a; C0 b1 x: jInitial level, 最初水平$ _4 e' Q4 f! b4 e8 b' o6 ^
Interaction, 交互作用
) k7 S6 F$ \, }" M( X- d! EInteraction terms, 交互作用项, [4 `$ o; l% n* q' n1 S1 s- J
Intercept, 截距9 J1 Y1 H) _5 t1 Z; C4 x# S' y" j4 A
Interpolation, 内插法
0 W7 Y* L& Q# X5 IInterquartile range, 四分位距
, ~" ~- Z$ l; i7 H2 M1 @2 uInterval estimation, 区间估计6 Y9 s% K6 r# e
Intervals of equal probability, 等概率区间
3 U( y. Q _& sIntrinsic curvature, 固有曲率3 p+ i- Y# N1 o
Invariance, 不变性
& n) O' ~' r+ d, V; z6 nInverse matrix, 逆矩阵
" w" E; l9 G8 ^- W# d0 q+ oInverse probability, 逆概率& N6 G( `3 l, H2 C% g+ \( q
Inverse sine transformation, 反正弦变换, `& f* C9 h# D5 [4 m3 J
Iteration, 迭代 ) M) m2 {" |* F% d( j. u
Jacobian determinant, 雅可比行列式: [, Q# S, K V* g& O# f+ n/ o! Z( |
Joint distribution function, 分布函数2 ?$ T0 [% s5 z9 c7 A. r* t
Joint probability, 联合概率
! N, Q# T% u2 o& kJoint probability distribution, 联合概率分布" c2 j4 b. ?: h
K means method, 逐步聚类法
# v* i" w" `! Q/ [( J$ `Kaplan-Meier, 评估事件的时间长度
+ Y# W. W' F6 V% L: O( P, EKaplan-Merier chart, Kaplan-Merier图
4 o) F$ `) G! R# AKendall's rank correlation, Kendall等级相关2 T, S Z+ S! ?6 T
Kinetic, 动力学
! g' t9 P' C, A( BKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验! `' D0 r7 K5 U
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验' b% v5 r4 g+ q9 j3 n! i! t9 E
Kurtosis, 峰度* Y$ _, m6 z5 {# s
Lack of fit, 失拟
, t6 V5 j/ @8 ~Ladder of powers, 幂阶梯
u) [9 N9 h6 k8 ^ t6 [6 r' CLag, 滞后4 `: a4 Q/ g( {; g5 K/ G3 Z2 y( b
Large sample, 大样本
, h- I5 t( J5 ?* y% c2 g& \Large sample test, 大样本检验8 x) h4 X, ~* |% z5 b3 o( B! _, B* h
Latin square, 拉丁方( b) o* G: ?8 z* c3 H7 t
Latin square design, 拉丁方设计9 f: }* Q+ E9 A, i
Leakage, 泄漏
- k* U. l) U( f* v3 N, u/ ELeast favorable configuration, 最不利构形6 i/ M: @/ g2 u) H8 {
Least favorable distribution, 最不利分布
9 F1 n- G Z& s0 I; R; t# e3 wLeast significant difference, 最小显著差法
8 K' x6 U7 o/ S! m3 g5 x- [4 B" `# tLeast square method, 最小二乘法3 C E) [. F: @
Least-absolute-residuals estimates, 最小绝对残差估计
: p( [% T+ J5 _% P1 vLeast-absolute-residuals fit, 最小绝对残差拟合
$ D3 H" y- @% OLeast-absolute-residuals line, 最小绝对残差线
. }& r3 \) S* ^+ t% Q- QLegend, 图例
% E1 D4 k, P6 X! D, }( f+ f. `L-estimator, L估计量
% g+ w4 Q% A- Y6 N! FL-estimator of location, 位置L估计量. K! x! D* S' b, Z' n
L-estimator of scale, 尺度L估计量
. g, P6 i# l+ n2 ~/ _/ r0 dLevel, 水平# U! k, d! i% B+ G! I
Life expectance, 预期期望寿命
% _8 T) Y3 G5 ^Life table, 寿命表0 z- c5 \) h/ s$ I$ s. H/ ^# d. I) H
Life table method, 生命表法
- M t" C$ A8 B' B! j# e. FLight-tailed distribution, 轻尾分布: G8 n+ U2 d. i* i
Likelihood function, 似然函数
- d e, s% l3 qLikelihood ratio, 似然比
# O' ?1 f+ Z$ M" s2 R4 ~line graph, 线图8 w* X+ j0 z' x( p- M0 `6 b
Linear correlation, 直线相关$ X0 D* j% P+ v
Linear equation, 线性方程0 T* J: E. i$ M% U. {
Linear programming, 线性规划
# y2 ?+ w5 N" u0 I. s! YLinear regression, 直线回归
- s, v7 w! s" r; X: t* ~" MLinear Regression, 线性回归 X0 w1 _) ^6 t6 f9 d5 W
Linear trend, 线性趋势, T9 h8 c# e, C2 X
Loading, 载荷
0 F; L& y5 m7 A8 J1 [Location and scale equivariance, 位置尺度同变性
7 }1 o- q( j- B3 lLocation equivariance, 位置同变性# x7 Q3 t0 t" t0 k$ X Q8 V7 @/ p
Location invariance, 位置不变性5 h% s! ]# [6 U
Location scale family, 位置尺度族8 \1 r9 M* h) O- w8 Y' N
Log rank test, 时序检验 + O7 V* k5 e. q) ^. X4 ~
Logarithmic curve, 对数曲线
) ~& ?% e/ R* ] ^4 PLogarithmic normal distribution, 对数正态分布- y: N5 _+ {% [
Logarithmic scale, 对数尺度
; t# z$ ~& [, V9 n* HLogarithmic transformation, 对数变换
7 P/ P- h' j; t3 ZLogic check, 逻辑检查5 v* [: K) F+ V: l9 w
Logistic distribution, 逻辑斯特分布
) d% M a1 m, r3 P$ I: HLogit transformation, Logit转换
$ b$ O1 H' D3 P/ d: S6 x& ZLOGLINEAR, 多维列联表通用模型
9 H& Q3 E8 Q* Q# \5 O9 m9 TLognormal distribution, 对数正态分布& i7 V5 m2 L4 E1 x9 _1 K% w
Lost function, 损失函数' R, Z2 l1 {2 X, e2 Z( U
Low correlation, 低度相关
8 s m. W6 x* E/ o: ^Lower limit, 下限$ p: {; {4 r0 ^) T3 C% p4 ^
Lowest-attained variance, 最小可达方差6 m( _: y2 @1 Z# u/ G/ s( F, F5 E
LSD, 最小显著差法的简称5 X2 |$ Q* y- m$ p( ^' C
Lurking variable, 潜在变量
S' G! u) R0 d& mMain effect, 主效应' F5 `4 g) F- x
Major heading, 主辞标目
9 z. v7 {! ]- VMarginal density function, 边缘密度函数2 x L0 u1 s" f5 x; T& }+ X6 S5 E
Marginal probability, 边缘概率
! }9 ~$ z; |+ A" JMarginal probability distribution, 边缘概率分布6 q* Q+ c! a4 n
Matched data, 配对资料
) J# h" y( O: qMatched distribution, 匹配过分布: w& \' D i- M4 w0 N- t
Matching of distribution, 分布的匹配
8 L, _5 b' i9 Z" WMatching of transformation, 变换的匹配
2 i+ U$ D0 U9 Q0 M; c( bMathematical expectation, 数学期望5 w/ P5 m+ a7 c: R# Q
Mathematical model, 数学模型
( C# v& w$ X- Y7 T( YMaximum L-estimator, 极大极小L 估计量
% z" H9 ?- |3 [Maximum likelihood method, 最大似然法
1 W+ I" |8 k# p8 {: m' k. DMean, 均数. P- H3 T) f P
Mean squares between groups, 组间均方
* l! d0 \ i# I* _: Z; tMean squares within group, 组内均方
1 O. q6 c/ E+ T# ^Means (Compare means), 均值-均值比较* m4 ^4 X$ q8 ^: a7 I
Median, 中位数! R0 j; M4 D. {- M" N3 s+ ?. }
Median effective dose, 半数效量
. R2 d1 S" y8 l4 y7 ]% [Median lethal dose, 半数致死量8 f' t5 z* k4 o: J! J
Median polish, 中位数平滑
: B+ V- W9 G) A. eMedian test, 中位数检验8 ]" N0 h/ y6 Q' R
Minimal sufficient statistic, 最小充分统计量
" m9 p' S! c8 x# OMinimum distance estimation, 最小距离估计8 D) Y' z) j# N
Minimum effective dose, 最小有效量0 f; ]0 r* _ P S; a" H
Minimum lethal dose, 最小致死量
* E2 `: f2 S. M% F( g" PMinimum variance estimator, 最小方差估计量
p- A) k* {* k/ ~: ?MINITAB, 统计软件包. p( w1 S% _& p+ V! _( D
Minor heading, 宾词标目
) R% \3 H: |. A n4 U0 z! BMissing data, 缺失值
& [% `8 o0 u8 N9 uModel specification, 模型的确定
" N* L- K& H1 L+ AModeling Statistics , 模型统计1 ]4 O) G* ?1 T& J
Models for outliers, 离群值模型% x" B2 Z( e2 A _
Modifying the model, 模型的修正
R8 f( E4 A. e( r7 g3 rModulus of continuity, 连续性模
( Y2 L! D# |4 L5 F6 cMorbidity, 发病率
5 D+ v- \% A# WMost favorable configuration, 最有利构形 K/ a" T( Z7 r
Multidimensional Scaling (ASCAL), 多维尺度/多维标度' J. y9 `8 E D# }
Multinomial Logistic Regression , 多项逻辑斯蒂回归* [( [( |4 I, X0 B2 F5 n( F. B
Multiple comparison, 多重比较
) P( S# d0 u3 X2 eMultiple correlation , 复相关$ n0 r. ~+ M1 p3 Y
Multiple covariance, 多元协方差
! `/ w2 p# N) @* z2 s6 }' }0 AMultiple linear regression, 多元线性回归+ A+ z0 i# b" |& n. B5 ~' @
Multiple response , 多重选项
, n8 s. Y! d, v( KMultiple solutions, 多解
0 J6 S1 n$ T7 Y6 s$ @( ]Multiplication theorem, 乘法定理
/ N, @8 {: n# X0 [Multiresponse, 多元响应
2 u6 j) W$ ?# w: j/ t4 n/ @Multi-stage sampling, 多阶段抽样
1 o5 h: E* b p i6 \Multivariate T distribution, 多元T分布# b" u/ M8 g+ A6 |1 t
Mutual exclusive, 互不相容
8 L9 x& L2 Z7 F7 {2 B3 S1 ^$ |Mutual independence, 互相独立
. V5 Z" d& y. J0 L) P' j" W8 pNatural boundary, 自然边界
# Y1 j) z; c' D/ E/ z) rNatural dead, 自然死亡: _) v& z) \8 J$ @; u7 Y- }
Natural zero, 自然零# V; v' C: E$ y) v3 b! J3 C. r
Negative correlation, 负相关4 p% k1 V% o7 g- l5 b3 E
Negative linear correlation, 负线性相关, t2 j, M& W5 e S* X! N
Negatively skewed, 负偏; v) ?# h$ o# T T+ m
Newman-Keuls method, q检验
5 p, H! m9 F! ] q- Z* WNK method, q检验
* b* f4 H5 {- lNo statistical significance, 无统计意义
, j6 l$ P/ W2 R; p! K2 o, RNominal variable, 名义变量
$ D4 _5 F: }3 G& U: D, HNonconstancy of variability, 变异的非定常性- V. i5 E! n v$ I; J6 `+ X/ ^
Nonlinear regression, 非线性相关" W {) R/ a/ N# W
Nonparametric statistics, 非参数统计
7 `0 P( O0 H# S/ K. k0 d) Q. DNonparametric test, 非参数检验
. s; m$ Q! x0 iNonparametric tests, 非参数检验
. O( D0 V3 @5 V( N- r6 LNormal deviate, 正态离差" g: L% F, I+ p
Normal distribution, 正态分布
7 R2 k/ ^/ n E' B# UNormal equation, 正规方程组4 p) A8 R; a( R
Normal ranges, 正常范围2 J' F( Q) b# |' l, ^3 w6 b. s
Normal value, 正常值" Y0 N+ e" z* |/ `4 |* R; ?
Nuisance parameter, 多余参数/讨厌参数3 V. X ] k# p! d
Null hypothesis, 无效假设
' ^+ y- a+ e4 {Numerical variable, 数值变量
% C, N t `* {8 j: k1 EObjective function, 目标函数
( G0 A& G2 Z# @Observation unit, 观察单位
# ^1 t' J E' k; Q# ]0 x2 f1 SObserved value, 观察值" H& t1 M9 e. Q* `4 k$ C
One sided test, 单侧检验
$ ~8 N# y& N8 ?: [One-way analysis of variance, 单因素方差分析# m( C+ f5 g; O$ |. u! Y) t
Oneway ANOVA , 单因素方差分析$ Q2 M) [& |; Z: i, u
Open sequential trial, 开放型序贯设计6 Z* G7 Q/ }& v1 I& |; b
Optrim, 优切尾# x& z( `" x V' P; L
Optrim efficiency, 优切尾效率 v2 p9 `2 v$ X" ]' o% y
Order statistics, 顺序统计量
) v6 K7 d$ x1 G! kOrdered categories, 有序分类
4 d. f f0 g: `0 c* d VOrdinal logistic regression , 序数逻辑斯蒂回归
$ G; i0 z8 c' y1 J7 r# D( ]Ordinal variable, 有序变量
# q: a/ t' f% eOrthogonal basis, 正交基
4 ?8 H; k! p" k- q. COrthogonal design, 正交试验设计
5 `# V- y& O ?& t1 IOrthogonality conditions, 正交条件! V+ D/ w% _( _5 ^8 f9 y" e, c
ORTHOPLAN, 正交设计 K; R! X) c+ K+ W
Outlier cutoffs, 离群值截断点' R4 u5 v2 `& [/ n& O
Outliers, 极端值" R. C3 {4 O0 L: l7 S7 {" J
OVERALS , 多组变量的非线性正规相关 ( z5 `" }6 ]3 X9 }& E$ T
Overshoot, 迭代过度) s, |% T, t) Z/ h
Paired design, 配对设计
2 C- S$ S) e* G; O4 t6 |" q) oPaired sample, 配对样本
& w5 x' U7 I: CPairwise slopes, 成对斜率
; p! f- x3 e' J' _3 k# E( JParabola, 抛物线
# i/ o9 ], I, {6 f/ lParallel tests, 平行试验
% c' i2 W& m! K! J: G( C8 C! K! RParameter, 参数
4 L4 L$ D. N N: `! F' V( a+ KParametric statistics, 参数统计2 G& ^- r- c6 h+ c0 [- E$ d- P
Parametric test, 参数检验% ^/ h9 p1 s2 f
Partial correlation, 偏相关3 A! P- L7 o$ R4 j* ^7 I
Partial regression, 偏回归
8 g, u0 L0 T2 E: q* y- SPartial sorting, 偏排序
( f8 B z2 x) |. p$ y! _Partials residuals, 偏残差
1 y2 X Y! b5 A0 JPattern, 模式
+ T. K4 F3 J+ X2 K/ EPearson curves, 皮尔逊曲线' S& b/ y. f1 U
Peeling, 退层
4 t* w" ^0 i$ B2 c4 X9 @Percent bar graph, 百分条形图
0 Q. P* O4 @- c- p, L( G' C2 ePercentage, 百分比- p. O3 x+ _) ~ ], k7 I$ G4 e. ^2 K
Percentile, 百分位数
9 I" }! d3 B @# Q* gPercentile curves, 百分位曲线
4 f9 W' ?: Z5 H- y wPeriodicity, 周期性
& q+ l7 A! n, l! c3 G4 ^# W4 ?/ yPermutation, 排列4 h7 W% `7 r: ^2 f2 n
P-estimator, P估计量9 t5 C7 t+ o* T
Pie graph, 饼图( K1 L6 R0 A$ y$ I/ L8 g3 V
Pitman estimator, 皮特曼估计量 ?1 n3 ]3 T5 T& |
Pivot, 枢轴量
: X9 v2 z$ v6 {5 \3 OPlanar, 平坦6 C+ ^# j2 v! ^; F
Planar assumption, 平面的假设1 Y' b3 e. Q% Z3 ^
PLANCARDS, 生成试验的计划卡. V% J H& b+ F: J
Point estimation, 点估计: Q2 G, C Q& \9 b0 T8 z) X
Poisson distribution, 泊松分布
- l9 ~" F% _! a9 aPolishing, 平滑9 M% |& h% f7 W J& f: j% o; Q9 U
Polled standard deviation, 合并标准差, C; x5 H) F' t% X$ \4 B
Polled variance, 合并方差+ A, s$ Y2 `: K5 Y+ H- H
Polygon, 多边图
$ A8 J1 g4 A' U8 x, K$ a8 v7 P' \Polynomial, 多项式; H% h. S# E5 z' w+ v% P, N
Polynomial curve, 多项式曲线
M$ H( G& O/ L, ~5 |Population, 总体# s( T! P: O0 z% `" ~
Population attributable risk, 人群归因危险度
1 d1 q2 W9 W. z! {Positive correlation, 正相关! m3 g. Y% }/ P- R& C0 Y5 u
Positively skewed, 正偏+ x `7 y' A0 b: c. C' K9 p% Q
Posterior distribution, 后验分布
0 a5 }( O- s% H3 F0 uPower of a test, 检验效能
# C: ^/ o- A- J# I S7 T0 ^# v' JPrecision, 精密度. q7 e& ]/ m n: @' P4 K
Predicted value, 预测值& `' K- G; i, j# J5 h5 i
Preliminary analysis, 预备性分析
`- X" r) w0 Y8 ~. Z- F' o1 G" @Principal component analysis, 主成分分析4 Z# s5 Q ~7 j, p& N
Prior distribution, 先验分布! w7 K% c' {( Y$ }( h
Prior probability, 先验概率
/ H0 J7 t* j! Z/ U6 G' RProbabilistic model, 概率模型2 c: T f& i z
probability, 概率
! J' H7 v3 y3 w4 I- ^1 W6 W$ jProbability density, 概率密度
3 k/ u/ z: g; N. j3 d+ mProduct moment, 乘积矩/协方差
. r) V$ { ~. fProfile trace, 截面迹图* g5 J- X/ X, k8 ]+ V- p
Proportion, 比/构成比
: N) P0 O C, c3 w; i0 T4 Q5 PProportion allocation in stratified random sampling, 按比例分层随机抽样
# d- K, V. ] w1 K; L( r1 q AProportionate, 成比例; E( R) w( X& H# W2 O
Proportionate sub-class numbers, 成比例次级组含量* X0 o: b' p( c+ w5 H- A
Prospective study, 前瞻性调查# I+ E" a) f* ^% j- J) ?, M
Proximities, 亲近性
6 \: I2 [0 p6 ?! U/ I% ?Pseudo F test, 近似F检验
# q. z s9 @: t3 `+ k" I! DPseudo model, 近似模型
& U+ _6 d+ E& t4 I+ [/ ]% ~0 @Pseudosigma, 伪标准差3 S5 N, K0 w" b; a/ B
Purposive sampling, 有目的抽样1 ~( U, d* X% K: B b, a, O( }
QR decomposition, QR分解1 _, }* h( Y$ Q/ [
Quadratic approximation, 二次近似1 {" C/ ^' p3 w( ?6 h1 i
Qualitative classification, 属性分类- B& I& i. @6 z- v: z1 J
Qualitative method, 定性方法
7 D# f" T: f& yQuantile-quantile plot, 分位数-分位数图/Q-Q图/ j( K+ l7 Q# C2 n1 Y
Quantitative analysis, 定量分析- h8 D: y' D# w5 p
Quartile, 四分位数" S1 ?1 L7 g5 o. z! V
Quick Cluster, 快速聚类
) s) D7 U4 b0 l2 v5 J" IRadix sort, 基数排序0 ~. ~& W: N+ K" W2 l6 r
Random allocation, 随机化分组
( ?# u& q5 {% J1 I% C" [4 V9 eRandom blocks design, 随机区组设计9 L4 G" u# w k4 J8 B( Q7 G
Random event, 随机事件: q3 ]( p, C: n2 J- ]
Randomization, 随机化
6 Z0 w9 l3 c2 L. e1 SRange, 极差/全距' f: y: }4 W! a. Q
Rank correlation, 等级相关
4 W( o, R3 A* w4 Y2 H% ]1 j# f1 aRank sum test, 秩和检验
! r8 s6 ?! l% j3 H3 h9 ?& t: NRank test, 秩检验+ R& k" W1 p4 o
Ranked data, 等级资料. t. C- a0 x _ z0 B# I K5 e
Rate, 比率
4 {% X, r4 h$ |' [Ratio, 比例
" K6 q5 S" d% j# ORaw data, 原始资料. v8 g; ~& h/ E7 c
Raw residual, 原始残差
1 z/ d2 w; o( wRayleigh's test, 雷氏检验4 M# G3 ^ h" j" o" ]/ z! a( H
Rayleigh's Z, 雷氏Z值 : d; i" ?6 `2 P4 o7 u$ a) j% Q
Reciprocal, 倒数7 p: i) u: Z- ]3 ? K# G) M& q$ A7 }9 n
Reciprocal transformation, 倒数变换 t4 `) j8 l8 S' n5 G; q, b, {
Recording, 记录9 j0 N1 V" X/ u! o
Redescending estimators, 回降估计量
$ {" p1 k, y' j* a+ _( cReducing dimensions, 降维
; S. I4 D$ x2 k9 yRe-expression, 重新表达
1 }) W5 n" K3 p: B3 u9 a: CReference set, 标准组7 v4 j5 p/ F- |
Region of acceptance, 接受域; o7 [& A& K4 m2 [- V% P
Regression coefficient, 回归系数
; R, L2 \7 k- \& ^Regression sum of square, 回归平方和& ~4 z [: d5 p0 a& `; ?2 ~, f
Rejection point, 拒绝点
# l2 e7 d, V2 u6 q) aRelative dispersion, 相对离散度- E" y' g+ ]4 p) E( K
Relative number, 相对数
/ ^3 m) d2 x# ^6 h% T( A: \Reliability, 可靠性# X- F0 L: B" B! L! }
Reparametrization, 重新设置参数
" l+ j/ Q8 D4 V' YReplication, 重复
9 n- V* g& n, q8 ]5 {" d) w# s: {Report Summaries, 报告摘要
' y1 E3 j5 o. n) v: X2 AResidual sum of square, 剩余平方和) |7 s0 i# T+ o2 y, O$ K- f
Resistance, 耐抗性
" D3 D4 w- t6 P% b- S8 f7 eResistant line, 耐抗线" q/ ^% o9 `, f L; T
Resistant technique, 耐抗技术! n; S1 X' X6 h% ?+ q1 l2 l
R-estimator of location, 位置R估计量
# i/ Q, j/ b% I @/ j5 Z5 @% hR-estimator of scale, 尺度R估计量
9 J( \ n! u% z+ c2 ZRetrospective study, 回顾性调查* r; t0 D, q9 o; q; m& o8 p2 e2 ?
Ridge trace, 岭迹
d, O: }+ O3 S6 v- T( z" j! ^Ridit analysis, Ridit分析! @8 E+ |7 k7 y
Rotation, 旋转
3 V" H+ M1 f4 w8 V* yRounding, 舍入
* k, c, v3 j6 J' s( }Row, 行
, Y+ U; W8 |; iRow effects, 行效应
' u8 G8 h9 N' c: f" u! HRow factor, 行因素
6 h3 R5 E' `, N& r6 E7 }RXC table, RXC表/ E0 u3 E$ U/ k v+ u% V
Sample, 样本
! C$ V# C2 Z' g! x! m) QSample regression coefficient, 样本回归系数
K7 k' g q: b$ jSample size, 样本量$ i: I6 g* C [7 ~" P0 p
Sample standard deviation, 样本标准差' s* C2 F( P" A6 C O Z6 F, ]. K
Sampling error, 抽样误差' c7 t& I7 e/ P9 j. D* `5 @
SAS(Statistical analysis system ), SAS统计软件包
& _6 B' P& Q. n# }Scale, 尺度/量表- Z8 p; ]" g2 ]; }
Scatter diagram, 散点图
1 E; b5 T$ z5 s. a- u& O9 a% T/ {0 |Schematic plot, 示意图/简图" b$ v/ n* _! S! k8 X6 t$ b4 {
Score test, 计分检验
1 u7 L- t; n" Q* `Screening, 筛检
' W" s2 r% T5 A* G8 |6 v E: JSEASON, 季节分析
" U. T: o4 d. g V3 a/ ISecond derivative, 二阶导数# \! n2 N6 A) B. }, J
Second principal component, 第二主成分
/ x* l7 {6 I! w# bSEM (Structural equation modeling), 结构化方程模型
( W* e! Z* O3 ?7 S4 Y: z, h: z/ @Semi-logarithmic graph, 半对数图
, C# Q, e3 P( W+ _: Q. hSemi-logarithmic paper, 半对数格纸
! Q" H1 n* v( ?9 T+ \7 u5 XSensitivity curve, 敏感度曲线
. b* t1 T- @9 E7 U& WSequential analysis, 贯序分析
/ E. c5 }) Z4 B/ f7 U* i& V4 v/ i( VSequential data set, 顺序数据集
7 H$ ~7 H# B: B/ z8 ZSequential design, 贯序设计
. ]* V7 O/ V7 W+ S5 P( Q$ DSequential method, 贯序法
) C' `, F" p/ q/ ?# M V6 hSequential test, 贯序检验法: L) s! Y3 V+ O* c! Q
Serial tests, 系列试验. K( d( Q7 z* c* T& d
Short-cut method, 简捷法 3 q/ n( e% c# l# R0 q
Sigmoid curve, S形曲线
' @& Q$ t8 k) [; h, J0 mSign function, 正负号函数7 n! v5 Q9 ]* S+ U' _0 q: I8 p0 X0 d
Sign test, 符号检验
4 ^7 x: n" x( @- J1 O2 }Signed rank, 符号秩
' Y' O4 f" v! b7 R( dSignificance test, 显著性检验
( H7 n- q2 ^/ ^8 g7 ]8 `Significant figure, 有效数字
) U0 P4 P7 A6 k+ u$ _5 M$ _! c4 MSimple cluster sampling, 简单整群抽样; D. J+ v1 C7 E% ?3 A
Simple correlation, 简单相关, H6 ?( ^2 C: F% @0 x# t" G
Simple random sampling, 简单随机抽样2 A+ ^5 J3 v& A2 Q+ B. _
Simple regression, 简单回归3 p, z% t. u/ i) r8 Q) ]
simple table, 简单表; @8 Z$ E, s7 s! `8 @4 J
Sine estimator, 正弦估计量
; o+ R; F7 F! m2 a3 B' E' dSingle-valued estimate, 单值估计/ Y6 b2 \! k4 G$ z) q
Singular matrix, 奇异矩阵
; b* r: c5 ^5 i4 HSkewed distribution, 偏斜分布$ h3 O, n# c1 Y \
Skewness, 偏度0 S# t6 ]' s6 n& z& [7 h
Slash distribution, 斜线分布6 H7 s, J$ H5 M G& E
Slope, 斜率
! V0 B" g8 a& D, \) S4 \- E( ]Smirnov test, 斯米尔诺夫检验- W7 W' X2 X* f7 y0 w
Source of variation, 变异来源( U. i" y( ~5 a3 G+ a* |
Spearman rank correlation, 斯皮尔曼等级相关& C- q7 F5 {% J' v3 o
Specific factor, 特殊因子" O/ Z5 t1 m$ C2 ~7 H& J
Specific factor variance, 特殊因子方差, s% A3 E/ f+ j, F: g) H
Spectra , 频谱3 D6 g2 k; v& x3 B$ Y' b2 z% U# \& Y0 y
Spherical distribution, 球型正态分布) P! b5 p% l+ _- r% ?, f
Spread, 展布
) X! m5 E& N$ k8 o% RSPSS(Statistical package for the social science), SPSS统计软件包# C5 ~ H2 C) e G% I2 g
Spurious correlation, 假性相关, ` s3 u8 U" C5 R/ b% X9 L
Square root transformation, 平方根变换. ]( u: B2 c0 t
Stabilizing variance, 稳定方差
1 [5 ~6 U {/ {! P& _Standard deviation, 标准差1 h: V' M8 D- F2 u) a
Standard error, 标准误, O6 N4 X1 e/ a1 H. ]/ v! e
Standard error of difference, 差别的标准误: I+ m: u5 _1 w' [% _
Standard error of estimate, 标准估计误差
+ h6 M8 }+ }% e; `# J% q+ ]Standard error of rate, 率的标准误
$ T1 m. t* h- O' sStandard normal distribution, 标准正态分布
7 U) w! b# B+ G$ W% jStandardization, 标准化( D4 j% o; Y- o" @" W/ Y1 D* G
Starting value, 起始值
+ f& Q7 a( b1 U) q; G- EStatistic, 统计量3 D1 J+ ^& N5 K. S% [) h
Statistical control, 统计控制/ U: n" M# Y4 [# }! ^; k: a( y
Statistical graph, 统计图
, r3 Z; w$ q* J) {- xStatistical inference, 统计推断
h/ s- j) I, HStatistical table, 统计表
7 Y! m; N; P, [Steepest descent, 最速下降法
) f% }) l: u% n9 O* K* jStem and leaf display, 茎叶图/ {2 G* c8 I( ^: G8 S
Step factor, 步长因子
* y, t# m7 P9 h: ~Stepwise regression, 逐步回归
2 v4 y! R" a/ N, }+ A: ~/ t |5 |Storage, 存* |+ _! e4 y$ Z) v& m, Z# d& A
Strata, 层（复数）
/ Z" J2 u- p, M, p: v8 h+ uStratified sampling, 分层抽样
" G; T2 t# L) \0 m: ]Stratified sampling, 分层抽样( W8 ^ j0 N+ H" n
Strength, 强度
]% X0 z" N+ ~, b/ V9 n& V% aStringency, 严密性4 d0 D! W3 e5 k+ B
Structural relationship, 结构关系
4 U& R" {, p# F* f0 ^. x4 SStudentized residual, 学生化残差/t化残差& K. z" ?9 B- S+ P u7 B$ I
Sub-class numbers, 次级组含量! Y) b' w1 T e7 n* d
Subdividing, 分割$ |# N! M3 ^. E3 Y; f$ f% E/ O
Sufficient statistic, 充分统计量
1 x3 d+ I: G4 _& [3 D" M! JSum of products, 积和7 J' P% d2 T+ [" ]! S0 a8 u7 y
Sum of squares, 离差平方和
8 c, Q o! f; @+ i/ L0 G. l& r* dSum of squares about regression, 回归平方和
# R8 {2 W! X) w( g) X/ aSum of squares between groups, 组间平方和
. c& c; b: z6 j5 E1 e8 MSum of squares of partial regression, 偏回归平方和
0 |; c/ t$ r6 i& r- SSure event, 必然事件
2 V7 d) Y- h% h" K1 s/ g( }/ ~Survey, 调查. ~5 k# n9 B' j7 k9 U1 d& b
Survival, 生存分析
: d/ d8 z5 _. m. aSurvival rate, 生存率. }# Y8 U. e5 u
Suspended root gram, 悬吊根图. r+ a4 d! x8 S- q: ?$ b
Symmetry, 对称
6 w3 W/ N6 D/ ^Systematic error, 系统误差# z! \& Y, B* q) Q) W; |
Systematic sampling, 系统抽样
# T/ M/ @8 z* q; o0 ^Tags, 标签7 Z+ h: a& i# E; W
Tail area, 尾部面积6 h- G! u ?) L
Tail length, 尾长1 {; z$ o& t8 v2 P4 X: r
Tail weight, 尾重3 J2 p! Y! M" \8 E) O0 B; z% M
Tangent line, 切线
2 e# F+ R4 V- I. _0 wTarget distribution, 目标分布+ l( m- W. L' V( h8 V g
Taylor series, 泰勒级数# X* W7 C( ~& y5 R4 \4 c; s
Tendency of dispersion, 离散趋势 s3 g2 W% H* L* y' Y9 a, V" j
Testing of hypotheses, 假设检验* E- j \& @% |0 Q7 b2 W
Theoretical frequency, 理论频数1 Q. n; P* S# S' _0 ]+ M
Time series, 时间序列
0 ] |+ R, q5 A- b8 b: ~! c6 J5 `Tolerance interval, 容忍区间
& U d) Q' z) m/ FTolerance lower limit, 容忍下限
9 L) Q: m( [0 ~7 U/ s4 @9 k: _Tolerance upper limit, 容忍上限7 n$ K+ Y+ x2 g, c
Torsion, 扰率
* c2 k& j% y& r. g1 @# Z6 W: PTotal sum of square, 总平方和
* x( d! o. g3 K! PTotal variation, 总变异; \. M! v4 S D/ y$ d$ v
Transformation, 转换4 m/ g _3 |/ ^9 ]0 M
Treatment, 处理
- L/ X7 }$ T% h3 P( s/ WTrend, 趋势
9 H& ?, b5 w' c* \# NTrend of percentage, 百分比趋势
% C; l2 h5 ^) ^# n. |: M- P7 n9 ?Trial, 试验
+ P( l6 D$ j; _# i6 K) o% bTrial and error method, 试错法/ ~* K ]; f: @" u, n- g6 c
Tuning constant, 细调常数$ C1 o: X) v5 j
Two sided test, 双向检验
* X- ]; \7 y7 j) |1 \3 {# ~Two-stage least squares, 二阶最小平方
5 w+ d# W3 J" m. p5 r" B: U* JTwo-stage sampling, 二阶段抽样
) z9 q, y. I$ [2 T8 e; ATwo-tailed test, 双侧检验. U5 T& Z& \3 @6 \/ k# W
Two-way analysis of variance, 双因素方差分析
; Q1 a6 T$ _% ITwo-way table, 双向表
- Z8 t7 n) g3 e# ?1 nType I error, 一类错误/α错误) B/ ]5 t) ?7 B' b" s" ^
Type II error, 二类错误/β错误
7 r) w( }, L, T5 V* S: [UMVU, 方差一致最小无偏估计简称0 o( b0 y- E' k
Unbiased estimate, 无偏估计
5 Z4 d6 s. H- j2 _7 l0 sUnconstrained nonlinear regression , 无约束非线性回归
; z) ~" m0 r' kUnequal subclass number, 不等次级组含量
" m$ t! u0 v) S# u# NUngrouped data, 不分组资料$ `: _8 i' b3 |- X
Uniform coordinate, 均匀坐标0 Q' K( m3 [" D8 `) c2 `! a
Uniform distribution, 均匀分布
2 W& Z2 G9 @7 SUniformly minimum variance unbiased estimate, 方差一致最小无偏估计
7 v! c9 r3 _7 R* MUnit, 单元
1 V4 _$ F; |2 g. tUnordered categories, 无序分类
3 h' V% ?6 C- u/ I; UUpper limit, 上限
. }5 s) i6 p( s7 i2 {Upward rank, 升秩
% Q S7 I8 ?( F. r; \1 ~6 eVague concept, 模糊概念& b& A- F8 z' I3 L
Validity, 有效性6 O1 F: j! R4 ~: L7 l! Z+ r% j
VARCOMP (Variance component estimation), 方差元素估计
1 C4 d3 g) C0 i! V$ R5 U( H9 k- jVariability, 变异性) @0 z* \' W5 u. y
Variable, 变量- G# V; F0 _1 [ Y# ]- z' A6 a
Variance, 方差6 }- H3 k2 y) S4 E
Variation, 变异
7 L0 C8 W( G: C* l# h+ t8 L5 X/ \5 pVarimax orthogonal rotation, 方差最大正交旋转# D5 T; H% m# n0 @8 n
Volume of distribution, 容积- w2 W) q: c' P% M
W test, W检验
8 |0 C& M) _5 H+ y# h7 i* ?Weibull distribution, 威布尔分布
( [1 r. g( h) v+ _Weight, 权数
% y" N9 ?7 [+ O0 |' t/ q; HWeighted Chi-square test, 加权卡方检验/Cochran检验% h9 U3 L. h8 o' Y, H) E6 Q! F
Weighted linear regression method, 加权直线回归
8 z1 }1 e7 R5 F) @. EWeighted mean, 加权平均数4 C' l. s9 K6 A& P `
Weighted mean square, 加权平均方差 Y. T6 Q% k* ^' S4 K5 V f" s' x4 ?
Weighted sum of square, 加权平方和
5 t/ l/ }, k% [% n+ hWeighting coefficient, 权重系数
& \1 z' B3 c' b9 a W, j- iWeighting method, 加权法
; s/ Y3 ^" l& JW-estimation, W估计量8 L }) Z' P" ^) u- S% f* F
W-estimation of location, 位置W估计量
1 b7 ]: T2 k# _# NWidth, 宽度9 c+ d \. v/ [$ \+ U! G
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
# u5 p' C( e9 X4 c/ W8 @Wild point, 野点/狂点' ^) q* O- Z* i/ \( P# k
Wild value, 野值/狂值5 O3 f+ i) o" @. n- p/ I5 f/ l
Winsorized mean, 缩尾均值% c8 X) L8 f- X- Y6 t4 W! @! E
Withdraw, 失访 1 G, r' H6 [" }# o- w
Youden's index, 尤登指数4 h, t, i7 V. y: z/ G+ @( ~
Z test, Z检验
' _0 v" J! J8 MZero correlation, 零相关$ o* O, Z% t( E; W# I& w
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
