|
|
Absolute deviation, 绝对离差4 m4 b1 a9 A; _) B: L
Absolute number, 绝对数% O% a! H& L7 |
Absolute residuals, 绝对残差- D0 e: G$ T1 c# F9 H2 j0 L
Acceleration array, 加速度立体阵
$ ?/ u6 v, T4 n V4 bAcceleration in an arbitrary direction, 任意方向上的加速度( B. f" U- q/ J6 @! x) s \! q0 @
Acceleration normal, 法向加速度
# `# {' U0 Z3 G: p& l4 B2 AAcceleration space dimension, 加速度空间的维数
4 `1 I6 o0 x5 y$ |1 C1 h6 HAcceleration tangential, 切向加速度" x6 |; E" v. n! i
Acceleration vector, 加速度向量4 _7 |' j9 [. d9 h, G8 q' ]
Acceptable hypothesis, 可接受假设
, M# C- v/ n$ n3 ~. eAccumulation, 累积' R3 `9 y# |& Q. T" ~
Accuracy, 准确度
- r# m+ E" d Y6 hActual frequency, 实际频数
; |! s! U Q: Y) O! K$ hAdaptive estimator, 自适应估计量# ]8 N Y( g% E; n
Addition, 相加
/ m; j K" x0 h& f7 ]Addition theorem, 加法定理
* g5 c3 s& O& Q& j8 h; A4 DAdditivity, 可加性6 z0 k# n8 E- g+ p
Adjusted rate, 调整率
/ l8 y2 x, ^* M ~8 ~Adjusted value, 校正值
- x: P9 w' q9 y9 x- gAdmissible error, 容许误差6 }" Q9 B0 f3 r" y" H
Aggregation, 聚集性' i( Z: ~) `7 Y. g& D
Alternative hypothesis, 备择假设
$ }, b9 @3 k7 {6 g5 t. d5 _/ kAmong groups, 组间
0 s! ~0 `; N' H7 ^' ^# MAmounts, 总量
7 C' k# Y% x1 G: m. z( G) d& iAnalysis of correlation, 相关分析 x8 b5 C" c! K( d9 h
Analysis of covariance, 协方差分析
, j6 v% |# A' v$ A" @Analysis of regression, 回归分析
' b+ F t0 z2 U4 t) xAnalysis of time series, 时间序列分析" Q. M0 g- C9 `. v
Analysis of variance, 方差分析8 b' I' i9 J9 n- T, Q
Angular transformation, 角转换& ~' c- t+ r) n9 Y! h6 w( `2 [
ANOVA （analysis of variance）, 方差分析/ \/ G, G1 s, ~% s( @5 D* B. S
ANOVA Models, 方差分析模型
0 [: U3 W1 e5 z' P* w; P6 |Arcing, 弧/弧旋
( p; [9 t6 `) W/ y5 r) L% NArcsine transformation, 反正弦变换! W# u, q: f6 c* g& ]* F
Area under the curve, 曲线面积
$ B) a/ ^7 D1 BAREG , 评估从一个时间点到下一个时间点回归相关时的误差
4 `- a7 ^& v9 W& O, ~# ]: PARIMA, 季节和非季节性单变量模型的极大似然估计 5 t8 k1 C' V! y7 k- e% d6 i9 q+ ]0 U
Arithmetic grid paper, 算术格纸
( m4 U# N8 M, cArithmetic mean, 算术平均数. M! e4 Z; g: ?# o" s
Arrhenius relation, 艾恩尼斯关系
9 G C, A q, V" s9 OAssessing fit, 拟合的评估
2 v- z: i/ ~: PAssociative laws, 结合律
! W- y) F: q4 n* Y* W& D7 HAsymmetric distribution, 非对称分布8 E2 c( a- W2 x' P/ H
Asymptotic bias, 渐近偏倚
@' z3 `% n i$ \Asymptotic efficiency, 渐近效率
4 [- d) u# {, D1 X8 z/ sAsymptotic variance, 渐近方差0 M3 {5 Q) u6 [0 k: T* z& z# J
Attributable risk, 归因危险度
4 \4 t2 S: P$ h+ [) C' ?Attribute data, 属性资料
5 N8 L/ a, N$ J8 b. Y2 ]! {Attribution, 属性
! Q# j v3 b: x4 T- F3 z e! nAutocorrelation, 自相关
+ d F4 j% |. t4 D5 EAutocorrelation of residuals, 残差的自相关. u! f! o7 T; E" {8 X7 R
Average, 平均数
$ b+ y( C* K1 |, p+ A6 \! D4 {' cAverage confidence interval length, 平均置信区间长度
' b$ ]5 h- E3 VAverage growth rate, 平均增长率, Y m/ x X) x( P# V$ z# S9 |
Bar chart, 条形图
1 i6 e7 [. F- a0 Q2 z9 l) x1 }Bar graph, 条形图3 y4 m$ v; Y, E5 b
Base period, 基期. r' V8 }5 E9 S
Bayes' theorem , Bayes定理* d! N; L& q p0 G1 O* w& z* a
Bell-shaped curve, 钟形曲线
/ {: w- A# Z, G; LBernoulli distribution, 伯努力分布
0 s6 Y4 a" ^' r! ZBest-trim estimator, 最好切尾估计量
m& f8 W; V1 R7 w9 h; M2 o( _* {Bias, 偏性7 D, S1 ^4 |+ g! j
Binary logistic regression, 二元逻辑斯蒂回归
3 D1 z9 K4 t& Z* D9 SBinomial distribution, 二项分布
$ k8 G1 f5 G8 l2 F: i$ |2 pBisquare, 双平方
1 O+ w) u' w1 ?! IBivariate Correlate, 二变量相关
# R- W6 g Z& y) QBivariate normal distribution, 双变量正态分布
; i: ~ i) y' ^* tBivariate normal population, 双变量正态总体
" a' W( B' |' Z* IBiweight interval, 双权区间
# v" \; b; A; H8 e7 p. k8 D7 LBiweight M-estimator, 双权M估计量
' T1 ]* S* j+ t: u' ] EBlock, 区组/配伍组5 l7 I# J8 d. h, s! Z
BMDP(Biomedical computer programs), BMDP统计软件包" M( H% p* ]: {1 P
Boxplots, 箱线图/箱尾图3 n g2 I. B2 F& S0 Q' Z& e
Breakdown bound, 崩溃界/崩溃点
, \ ]. n$ x. L/ D' Q; l0 l3 b RCanonical correlation, 典型相关- X$ M; @( F8 W6 b0 j8 Z- z: `
Caption, 纵标目# B- w) x! `0 H1 e5 s5 k
Case-control study, 病例对照研究* h. a7 s# G+ |# @: o
Categorical variable, 分类变量
9 a2 ]& _5 c4 a! G2 C) g( GCatenary, 悬链线
( T( a0 m) }# M, O6 nCauchy distribution, 柯西分布
& b/ y6 x# y/ h4 V% S1 kCause-and-effect relationship, 因果关系
, i* {# g# G$ ]" n, E* hCell, 单元# a" b% l+ n: e, z
Censoring, 终检
$ ]. `/ j$ |9 Q* q0 U5 e% f( fCenter of symmetry, 对称中心
8 N. I+ \& O1 {9 l# CCentering and scaling, 中心化和定标
7 U" ^) k9 q/ Q. Y D$ \& vCentral tendency, 集中趋势: u- U! `/ g2 Y3 Z; N
Central value, 中心值 Z- T4 W) j5 }1 j8 c
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测) }% r4 E) j- P1 G& b f
Chance, 机遇
% D/ @8 g/ y0 L1 Y/ j, bChance error, 随机误差: y* R; |% `0 o+ i" X' h3 B
Chance variable, 随机变量
}2 `) ~0 p& b6 h( B# cCharacteristic equation, 特征方程8 ~; d# _9 O4 A) U! V# a9 A
Characteristic root, 特征根; |: j) D. c* {& }3 K4 @6 L. y
Characteristic vector, 特征向量6 J3 w7 f; j( f4 @
Chebshev criterion of fit, 拟合的切比雪夫准则 ^0 M1 @% U( C/ t# h
Chernoff faces, 切尔诺夫脸谱图* X5 L! y% y% }) |& ~& V1 {1 A7 |
Chi-square test, 卡方检验/χ2检验
2 n5 S) J! u8 X/ ZCholeskey decomposition, 乔洛斯基分解
8 |* H5 s# ]/ C5 N1 F5 qCircle chart, 圆图 5 a0 S; Y$ N& _! a( N
Class interval, 组距
6 }7 p4 r: S& G w6 H- TClass mid-value, 组中值
1 Y% Q" L/ P" }- L; ^5 AClass upper limit, 组上限
/ q \! O. T3 t8 oClassified variable, 分类变量9 S! J" t; e' c" T1 V
Cluster analysis, 聚类分析
9 _& `4 j4 j* f1 k v' x# BCluster sampling, 整群抽样2 h) U2 z! @* F+ Q* q3 P2 R+ t/ b
Code, 代码/ y2 ?7 u8 m, b0 }% Y
Coded data, 编码数据
t: V' `" w( N( m0 J$ C% sCoding, 编码
& _! ^% U% U3 h7 ^9 ~, T( NCoefficient of contingency, 列联系数: s) b& h5 P. E* D! j. B4 N6 D4 E
Coefficient of determination, 决定系数
; y3 R+ [5 m( {Coefficient of multiple correlation, 多重相关系数! f) B6 X E8 k* L7 R9 x+ Q9 O
Coefficient of partial correlation, 偏相关系数; c: U( b: Y1 A, f2 ?# ?& A
Coefficient of production-moment correlation, 积差相关系数; H+ g' \) V" w6 D( m1 P
Coefficient of rank correlation, 等级相关系数) E9 |6 l) ?/ f! `8 n& S
Coefficient of regression, 回归系数
) J4 {4 h4 T8 G: W u6 m/ \Coefficient of skewness, 偏度系数; Z d( B$ @; g7 [& m; g d
Coefficient of variation, 变异系数+ {. ?& r6 G; N7 @3 [( c. V
Cohort study, 队列研究) c; |- r# I; U2 j% o
Column, 列1 D% d' p( `" S0 }- y4 F, b
Column effect, 列效应7 y- f, ~) d F- E3 [* s' S8 x2 q
Column factor, 列因素/ X6 }! ~# g; R. i# V
Combination pool, 合并
% Y( x. o5 X9 u4 CCombinative table, 组合表2 b! c9 s5 f2 M; O
Common factor, 共性因子
& U1 n3 X; D9 n) j$ K: I( ~Common regression coefficient, 公共回归系数
! g( y+ C' D8 w0 T6 GCommon value, 共同值
4 \; g+ K: \9 o8 w$ ICommon variance, 公共方差6 ~' O0 ^- u1 p: c0 S5 G* z' j# [
Common variation, 公共变异
& U# ]! `) o" I" \Communality variance, 共性方差
3 [; ~( t2 F" g8 ]! OComparability, 可比性
9 [6 p' U! |1 Z! G. Z( XComparison of bathes, 批比较, K6 |& W* v; @/ i, L; }
Comparison value, 比较值! _1 d( {, b; o6 H x0 g& b
Compartment model, 分部模型
; Q+ X, [ z0 H/ [& U6 M/ ~Compassion, 伸缩
% b/ x- O9 h6 ^. ^8 rComplement of an event, 补事件1 a8 d5 t2 y, i- m8 w8 b2 H' [4 \
Complete association, 完全正相关
1 h! f; [* Y9 m6 [+ w% B9 l0 YComplete dissociation, 完全不相关6 w& K4 Y0 W# q- C) A& o
Complete statistics, 完备统计量
, ]2 `/ E% r/ t1 P& }Completely randomized design, 完全随机化设计) E. J; Q. F! x* H1 P+ N3 q( [0 C
Composite event, 联合事件
: C9 a' w& y1 G! U& {# ]% Z6 NComposite events, 复合事件
* q2 ]1 w- ]( c7 F l, Y+ q5 EConcavity, 凹性 ^3 K3 h2 j8 j1 n
Conditional expectation, 条件期望! ?. g! n1 Q( ]% T1 T" R" n( b1 K
Conditional likelihood, 条件似然
' I1 g. Z/ j, Q9 Z" u$ IConditional probability, 条件概率6 {# S4 c. {2 b9 ?# q6 U" ~
Conditionally linear, 依条件线性% `9 m1 _' k# @. \3 P/ G
Confidence interval, 置信区间
, A0 ?! I) A7 Z7 c, g& AConfidence limit, 置信限( E1 D9 f! Z$ G1 s6 U, \8 x$ T
Confidence lower limit, 置信下限
* ]$ D, _, P, p2 i3 rConfidence upper limit, 置信上限4 X$ [% U! i* S0 I8 o( s/ B& ~% M
Confirmatory Factor Analysis , 验证性因子分析+ g5 k5 t* {& L
Confirmatory research, 证实性实验研究
( [) e! p& G1 S! ]1 _# P# QConfounding factor, 混杂因素
* }# C: \; R7 X3 `( p0 s+ bConjoint, 联合分析$ L# R3 @8 _1 A- x4 W
Consistency, 相合性
' D$ |; A% V# [) TConsistency check, 一致性检验
# O j! h8 D4 w3 ?( _Consistent asymptotically normal estimate, 相合渐近正态估计
1 X' V, G+ J( Q3 n9 j6 i& _6 mConsistent estimate, 相合估计) a5 m. G# _4 G! [0 J# l6 x
Constrained nonlinear regression, 受约束非线性回归 t! n* [ r! G9 F# O
Constraint, 约束3 l" r+ S, c2 X
Contaminated distribution, 污染分布
/ x8 a0 D2 q& t% A. T" Q1 ZContaminated Gausssian, 污染高斯分布- X6 @: ]5 X6 b6 I* k U
Contaminated normal distribution, 污染正态分布/ i6 t V, G6 w; h" ? z' b
Contamination, 污染% f! H1 P+ Y W
Contamination model, 污染模型( p# |, w9 ^+ `) V) J. r
Contingency table, 列联表
8 k# F2 Q x' e: {4 fContour, 边界线
2 H! x7 @. R l5 M' L; A8 f5 BContribution rate, 贡献率6 f- P0 {, n/ w6 B' D- w
Control, 对照4 H' g: ^4 ]9 O2 ^
Controlled experiments, 对照实验
( v5 N& e/ G; gConventional depth, 常规深度
% ?2 A: g* U+ g% @8 T! \Convolution, 卷积 ]: g. p% I1 q/ V% S* M" `* \& g
Corrected factor, 校正因子
9 k" ^( m, k* ^+ k' MCorrected mean, 校正均值
+ E3 H. ?# [# {; ACorrection coefficient, 校正系数
: X+ J `1 q7 tCorrectness, 正确性
6 I7 h3 L: V2 C9 _% ]; RCorrelation coefficient, 相关系数& v; @+ D5 {( Q z+ w( j7 s8 ^3 K% ^
Correlation index, 相关指数
1 D4 s, T3 c( E6 ~! A. NCorrespondence, 对应
0 N1 Q& q& A$ @7 m4 x# YCounting, 计数
7 n6 L. P; R' c$ {% i0 U3 zCounts, 计数/频数# j* m* t4 X6 a& A. |
Covariance, 协方差' Q* S0 v2 L3 A% @5 G2 m( p8 e
Covariant, 共变
! S9 W# l5 \9 o- J3 R1 \Cox Regression, Cox回归
" v4 V0 R( N) ?" D: vCriteria for fitting, 拟合准则5 f; j+ f# b; J; o5 ?4 W
Criteria of least squares, 最小二乘准则( d, L6 N! Q9 J
Critical ratio, 临界比
: K0 T1 A0 z, d! W" }4 e4 b) iCritical region, 拒绝域2 n$ _9 j1 c; l* d' ^7 I; Y
Critical value, 临界值1 x# H) Q7 \) U/ f( W8 u
Cross-over design, 交叉设计# G% z* d1 \' C4 \* O+ `
Cross-section analysis, 横断面分析7 c$ I3 p1 [6 y) x7 r6 T
Cross-section survey, 横断面调查, U+ M; K, Q: f4 U0 l
Crosstabs , 交叉表
8 @( o: g* M" ~8 uCross-tabulation table, 复合表
3 I. }4 |! N/ VCube root, 立方根
4 z; Q9 f- p1 C2 dCumulative distribution function, 分布函数
% a( w# n' l. l9 V' @( ~' VCumulative probability, 累计概率
# K, C7 N" P# g7 JCurvature, 曲率/弯曲$ U% C N) I- R3 F" N
Curvature, 曲率4 i1 F6 r4 l. ?# l: k0 y
Curve fit , 曲线拟和
- p: s! P: }5 pCurve fitting, 曲线拟合
" U. [' c6 N" r! k8 QCurvilinear regression, 曲线回归, b; H! t( R' C+ \" j% u; p
Curvilinear relation, 曲线关系
$ e0 [/ C4 ^# n4 t& _+ `6 }Cut-and-try method, 尝试法+ e' M$ [, u( W$ z3 V
Cycle, 周期, `/ L0 H5 [" I. w, Y5 S
Cyclist, 周期性( J+ j5 s1 E$ A7 w# T4 P2 p
D test, D检验# A9 ~* W! K/ v3 j$ `* h1 M( M7 B
Data acquisition, 资料收集; O: k5 M( t% e( W& y. M. @8 ^0 A
Data bank, 数据库& L" u- X6 N. Y/ L2 K# e
Data capacity, 数据容量
- o) z" a( I2 N' m' r; }* E: gData deficiencies, 数据缺乏
1 e- d: q! F0 e) t) UData handling, 数据处理" J; A. h p/ Z3 I1 E' \' P2 `
Data manipulation, 数据处理
# e! y( Y o$ f7 qData processing, 数据处理% ]% F9 F9 w/ A7 F7 N7 c& v% O
Data reduction, 数据缩减
/ W( o0 m2 ~ u, v- {; RData set, 数据集& r% ]5 p* u+ `( f( r, }
Data sources, 数据来源
S# g- \7 }% o' GData transformation, 数据变换5 O. b p( S( K3 r8 I/ V
Data validity, 数据有效性1 O, D) D+ g" R' X" o
Data-in, 数据输入+ v, [4 @3 Z6 x
Data-out, 数据输出2 t, w! d; z" B( M
Dead time, 停滞期2 h" c6 [& _& Q# C
Degree of freedom, 自由度
P) {4 ^6 j) u9 c; ~1 SDegree of precision, 精密度0 M$ P% y* t: d |. e, I
Degree of reliability, 可靠性程度
+ Y e- X* }& S* U, j/ P9 d: {Degression, 递减
6 K( X! ~) h6 f9 k! gDensity function, 密度函数( b& a. ~. q9 ? A
Density of data points, 数据点的密度, U: G u0 ^# `! |2 U. A) ]
Dependent variable, 应变量/依变量/因变量
- \3 l/ L7 y; r; G& c0 JDependent variable, 因变量# e' l9 V& ] f6 H
Depth, 深度0 Y( v( C. t( G
Derivative matrix, 导数矩阵
. P% ]; B/ s& ^/ |6 R9 y5 nDerivative-free methods, 无导数方法5 {1 d( a$ l7 Z! D
Design, 设计( U$ X4 M' k7 [6 ]3 c
Determinacy, 确定性1 P$ C2 W3 d/ w. u/ O2 ?6 M h- f8 u
Determinant, 行列式
# b. M- k& c) a- ?$ A$ I' ]Determinant, 决定因素7 t7 K- P6 h1 V# U0 c' t
Deviation, 离差* g2 [8 L. h/ h* f2 |7 T
Deviation from average, 离均差) M) R2 j+ F0 U" Q* y" R
Diagnostic plot, 诊断图
* J3 d! T7 ~" YDichotomous variable, 二分变量. R4 ~5 p7 [) O0 m v
Differential equation, 微分方程
! ~# N0 R( e* J) d7 {Direct standardization, 直接标准化法
9 S, k1 t" ` G3 NDiscrete variable, 离散型变量* f6 _4 H, _0 H' F- f
DISCRIMINANT, 判断 ( ~7 B9 ]4 l3 d5 M! f. f- l
Discriminant analysis, 判别分析
" W5 v8 S: d7 {0 GDiscriminant coefficient, 判别系数( E- t+ V$ W+ }: Z! _" Y
Discriminant function, 判别值2 r4 p+ F& T9 _2 [/ o. V, T
Dispersion, 散布/分散度
$ X$ z, [# I/ |% ]3 c# b# z3 p8 G% QDisproportional, 不成比例的4 }# S( E1 V8 D
Disproportionate sub-class numbers, 不成比例次级组含量& B& k* n w, T U+ J; i4 x
Distribution free, 分布无关性/免分布
3 d5 \' ^( `2 C3 iDistribution shape, 分布形状
, ^1 }# O4 \1 P/ g' FDistribution-free method, 任意分布法
5 r0 v. @ W5 {9 b6 F2 e$ gDistributive laws, 分配律$ L4 F. v8 ~( O4 w/ s& o2 s1 ]; k& m
Disturbance, 随机扰动项
9 z; x! Q# ]; T JDose response curve, 剂量反应曲线3 a [6 J+ R6 o5 @' d
Double blind method, 双盲法
* j) l) S7 }/ r0 a3 Z( N& eDouble blind trial, 双盲试验: |& |& [4 N6 g/ s6 B/ N) e
Double exponential distribution, 双指数分布7 t# l# z& L4 d0 B6 ~1 Y% z) ~) I
Double logarithmic, 双对数
+ V( J/ Y( b( O+ ^2 s& { i- HDownward rank, 降秩
) r" t6 B5 a% f* u1 |Dual-space plot, 对偶空间图
! m4 ^6 ~9 O0 ~0 O2 VDUD, 无导数方法
* G" \- m0 F" y: iDuncan's new multiple range method, 新复极差法/Duncan新法" n! H0 I- B2 i* _/ y5 ]
Effect, 实验效应) W7 l. S5 [9 q+ M
Eigenvalue, 特征值6 `1 m2 z- v6 n ^4 m9 A
Eigenvector, 特征向量+ ~* I: c" J1 o6 [
Ellipse, 椭圆
' L! y. I9 }+ ]# cEmpirical distribution, 经验分布
% q. r: _8 D0 q- @4 P5 N: zEmpirical probability, 经验概率单位
, h+ D6 X8 V& B8 L* rEnumeration data, 计数资料" c& |2 O ~! Y W( d
Equal sun-class number, 相等次级组含量$ x" d9 Q2 t4 {2 B8 C0 Z
Equally likely, 等可能$ U6 \3 t$ k. h
Equivariance, 同变性
0 O& s0 h' q" c% Q* n' bError, 误差/错误
( D, C: v3 [9 \6 ?7 BError of estimate, 估计误差% w* C, A9 v) S8 u" t `1 I
Error type I, 第一类错误6 g( o$ B! |' U' ]: i/ ?# z
Error type II, 第二类错误( Z! b) l1 t+ Z( ~8 _! h: V" _
Estimand, 被估量
; A$ n5 c* Z1 @Estimated error mean squares, 估计误差均方
+ ^7 I, Y8 ]& L- N' DEstimated error sum of squares, 估计误差平方和 H0 ~. V; g; H) Z4 u
Euclidean distance, 欧式距离- Q; n' { R( I/ Z3 z+ z
Event, 事件: B& H* |: k7 g# w* ]: b& S
Event, 事件
2 c. E; N9 N2 x0 X! e* JExceptional data point, 异常数据点8 K1 i% G8 |* g
Expectation plane, 期望平面: U) d6 _& I6 p: y' x: K2 n! I
Expectation surface, 期望曲面
4 k; @/ B$ s# v2 A1 z+ NExpected values, 期望值' i, M' ~4 @. G% v8 P. C. W
Experiment, 实验
2 Z9 C; I0 v- E! yExperimental sampling, 试验抽样4 n0 Z. ^, l+ }+ W% z* |
Experimental unit, 试验单位0 G7 u# W) @* l3 V& X' M4 X* }
Explanatory variable, 说明变量
& z' T2 X) K1 s' }3 rExploratory data analysis, 探索性数据分析% t4 o+ T2 t# G" p$ e. B" Y
Explore Summarize, 探索-摘要7 x* n7 P6 i8 i5 |1 q5 U
Exponential curve, 指数曲线! `5 G3 X7 p U5 R7 c
Exponential growth, 指数式增长
( q& m: W2 A. w9 j4 T# NEXSMOOTH, 指数平滑方法 1 U& ~% {. G4 v) N- j
Extended fit, 扩充拟合
: q* ]5 K6 p4 n# d, ]' UExtra parameter, 附加参数' }6 ~1 q" v9 r4 U
Extrapolation, 外推法0 t+ T' ]& B5 i1 ~ H' k
Extreme observation, 末端观测值: {! Z/ j( a# O, o6 C
Extremes, 极端值/极值! W: d8 d$ _) h7 r' {
F distribution, F分布# C/ y+ _( l* B; f
F test, F检验5 t3 g% r# O2 y5 ?5 C% N
Factor, 因素/因子
+ F( F. I, D6 |# W" w# F6 HFactor analysis, 因子分析3 R# H; ?/ p" P5 H8 k3 O
Factor Analysis, 因子分析
5 L. b( r+ ~+ C" s$ dFactor score, 因子得分
! g! w2 D! d& [4 ^Factorial, 阶乘% ]% o0 V3 \" Y. M9 d% o
Factorial design, 析因试验设计
% n! C4 \' f2 k! bFalse negative, 假阴性
$ l- R8 w. t4 N% b! o/ RFalse negative error, 假阴性错误
& \5 |8 A$ l( |& E* p2 tFamily of distributions, 分布族
+ ~& \7 P2 x7 V+ y6 }- ?1 R5 {( PFamily of estimators, 估计量族6 G4 @5 v% F! }: Z/ ^$ S
Fanning, 扇面: S& Y/ F4 @4 ~: V$ ]
Fatality rate, 病死率
* ~" n% A1 U: t( O* g- ~) {Field investigation, 现场调查( Q' n6 ~/ ]# {& v8 |1 @+ `
Field survey, 现场调查7 }8 o! d3 _" m2 @% Q7 C1 H$ _
Finite population, 有限总体! f/ {2 E% I3 T/ {; S! d4 i: A
Finite-sample, 有限样本. e6 n' l( u+ r# W) N" U
First derivative, 一阶导数
2 n8 U2 \3 D1 HFirst principal component, 第一主成分0 l; w* P- W' h$ D7 N" N1 f! d( A
First quartile, 第一四分位数
. P' G3 p$ J7 H1 b0 B3 r4 `8 e% aFisher information, 费雪信息量' O& g. o: ]4 `1 T
Fitted value, 拟合值
9 P/ T" L9 K! {) y2 C- TFitting a curve, 曲线拟合
/ J0 L' O: @2 M* g0 H" X3 TFixed base, 定基. h3 f9 E; h; [& \( [3 j
Fluctuation, 随机起伏
$ U5 b4 E4 s1 m2 eForecast, 预测/ J# w$ ^5 Q6 t* t, S6 U
Four fold table, 四格表6 c+ J; z+ G& X3 J
Fourth, 四分点
7 b# [$ u# d; rFraction blow, 左侧比率4 \3 K7 p' Q- G% M4 t4 }. `
Fractional error, 相对误差" _7 c% p4 r V9 Z+ t5 @" c
Frequency, 频率
2 q8 v4 F% W9 \; MFrequency polygon, 频数多边图3 ?1 z- s4 f" h
Frontier point, 界限点
1 y4 W" r4 j- P# j2 S2 q6 D) ZFunction relationship, 泛函关系
! X( q% p/ ^4 DGamma distribution, 伽玛分布8 ^7 D3 n/ l; M. @% r
Gauss increment, 高斯增量- P. V/ Y' c5 N
Gaussian distribution, 高斯分布/正态分布" \) N$ A# p! C6 s
Gauss-Newton increment, 高斯-牛顿增量
; \- G- q' I5 s* W. hGeneral census, 全面普查5 p' w; g+ C& o5 ^1 s* F/ {
GENLOG (Generalized liner models), 广义线性模型
% V+ a( ^- }; S9 h% }) ~Geometric mean, 几何平均数9 j6 R) k2 @4 P- V
Gini's mean difference, 基尼均差. C+ n6 e9 [; @, d9 F
GLM (General liner models), 一般线性模型 ' G1 M+ H U8 B5 L/ ?4 C
Goodness of fit, 拟和优度/配合度
2 ]! a4 T9 ^. ?- ]) ~. \9 ^Gradient of determinant, 行列式的梯度- r& L' l, w0 l% \8 D2 G' q) d3 Q/ M
Graeco-Latin square, 希腊拉丁方
6 j6 C2 A' y) b4 g" fGrand mean, 总均值
/ R, f2 f4 R: q7 u2 m: U& LGross errors, 重大错误
- G$ W+ r! P9 { [+ c8 s4 ]Gross-error sensitivity, 大错敏感度' ^& j2 {; Y! a7 `% E
Group averages, 分组平均
4 [# j" B8 h) u( E5 P/ iGrouped data, 分组资料) t, p. R3 v: v2 H
Guessed mean, 假定平均数- E0 }/ Z# B) W" m$ P6 ~. N
Half-life, 半衰期# R% _1 m7 G% d; r: p# H
Hampel M-estimators, 汉佩尔M估计量
/ k7 f' \3 w" T$ wHappenstance, 偶然事件8 Y1 K0 P% e$ D# L) ~
Harmonic mean, 调和均数3 D! @" q) M4 a8 W; a7 L
Hazard function, 风险均数
0 L% Y, d1 e6 Y9 K7 l! g& aHazard rate, 风险率
& |& Z& |- g$ a& f7 qHeading, 标目 7 p4 |4 B. N3 Z
Heavy-tailed distribution, 重尾分布- E" A. g: U( n5 z! P6 o: J
Hessian array, 海森立体阵' e- X5 P) P( T. ^7 o
Heterogeneity, 不同质
, Y* B! {# ?( q6 W8 ]Heterogeneity of variance, 方差不齐 - |9 E5 T6 Z: U4 f$ b
Hierarchical classification, 组内分组- N9 r- K3 P ]2 g$ s4 Y p
Hierarchical clustering method, 系统聚类法2 O7 O: j: G- Y! M) b
High-leverage point, 高杠杆率点$ ]" S$ ?0 q3 o* Z% }
HILOGLINEAR, 多维列联表的层次对数线性模型" j- A3 ~9 q6 J3 X7 [
Hinge, 折叶点
! G! H# f4 e: V) }& N& mHistogram, 直方图. v% }+ `( u; Z8 ?: w
Historical cohort study, 历史性队列研究 1 q/ B) M5 I- T! }
Holes, 空洞1 x* Y* Q+ x. s5 U) |
HOMALS, 多重响应分析7 ~5 Z) ?5 J9 K8 W7 J! m
Homogeneity of variance, 方差齐性& F* L% X5 B# [& a2 H- {/ E
Homogeneity test, 齐性检验! C( W7 f# z- g4 q- j& b: S
Huber M-estimators, 休伯M估计量
, [/ n1 Y/ r7 A* t: xHyperbola, 双曲线3 L1 _0 e+ r# a* f. Q
Hypothesis testing, 假设检验
" b. m% }& q3 }9 K9 D% A1 s2 gHypothetical universe, 假设总体% b u. j% B' N9 o$ T' _
Impossible event, 不可能事件3 V. L5 @$ a( i# Y9 q8 v
Independence, 独立性
. Z: c& e$ A7 rIndependent variable, 自变量( B. e+ W; b, P9 @" i& y
Index, 指标/指数 J; J0 `( X# l) v. T) t5 R
Indirect standardization, 间接标准化法
* S4 E. C4 `* qIndividual, 个体% j7 ?( S( H; M1 y# ~' n, b
Inference band, 推断带! s: s5 z1 ?& K+ [* ]* o. k
Infinite population, 无限总体8 N; U. Y. H& C- H- b
Infinitely great, 无穷大
4 Z( ^2 ?# V4 A( U9 @$ qInfinitely small, 无穷小
; W! K7 ]* v4 P9 a7 hInfluence curve, 影响曲线
( j& v! ]/ ~6 r3 Z. V8 c% UInformation capacity, 信息容量9 C/ `' C) j, q9 B
Initial condition, 初始条件
9 l: p/ [ S1 `/ K5 OInitial estimate, 初始估计值4 v% X% J( Y0 \; O
Initial level, 最初水平6 ^% [: p& ~, m
Interaction, 交互作用3 `% b3 F6 W8 w* Y! q: ^9 t
Interaction terms, 交互作用项& r* ~! p2 }9 Q& {
Intercept, 截距$ y$ I$ j7 I& y. G8 \
Interpolation, 内插法0 M9 |% v- z u1 ]5 o! E
Interquartile range, 四分位距
- a4 _8 s' n; T8 d/ NInterval estimation, 区间估计
( T# I& z/ n/ _* _1 P; t) WIntervals of equal probability, 等概率区间4 G8 y, J# V6 n# g. _! M9 {
Intrinsic curvature, 固有曲率8 T5 G" x' v& T( h+ A
Invariance, 不变性* G4 S" F/ [+ R5 l
Inverse matrix, 逆矩阵
" Y( v0 c3 X( s4 ]Inverse probability, 逆概率
; _% j% a) E; Z9 X* Z% WInverse sine transformation, 反正弦变换
: Z1 j7 q! `! x! B8 S$ tIteration, 迭代 2 N2 d7 d1 B4 T! o
Jacobian determinant, 雅可比行列式
l ]/ B$ S$ ]Joint distribution function, 分布函数0 z S5 X0 i+ D2 p# u
Joint probability, 联合概率
# i7 P8 }8 Q. X, M" e* [) u# XJoint probability distribution, 联合概率分布
- \% { t' A7 R( x$ Y+ M" }0 EK means method, 逐步聚类法9 n, z- f& w) j0 f. l) e) V; N
Kaplan-Meier, 评估事件的时间长度 7 c9 {5 J8 Y' h3 U' T9 |
Kaplan-Merier chart, Kaplan-Merier图' F" O7 m* T6 t" j
Kendall's rank correlation, Kendall等级相关0 q" M9 x w8 _& r$ w. L2 L
Kinetic, 动力学
' ]& w4 |- {6 D, |Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
) ^3 U: @; P, C( XKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
1 ^4 g, p# t: R4 B2 v6 o$ MKurtosis, 峰度
& E! ^9 y! @4 G6 \/ M; R; A4 yLack of fit, 失拟% n7 l/ U& a2 ]$ A
Ladder of powers, 幂阶梯5 t8 _, D4 R9 {2 { o+ U f
Lag, 滞后
, s7 L; {5 E; ]Large sample, 大样本
4 j) E7 o- h/ j* nLarge sample test, 大样本检验
; D1 @5 N# ?5 JLatin square, 拉丁方
" I+ S/ b) b5 D4 tLatin square design, 拉丁方设计
x. h! `7 y3 u/ J2 N" \3 uLeakage, 泄漏9 [4 Q) B0 T1 p7 A8 U) r! V, @" t
Least favorable configuration, 最不利构形
9 r3 R6 g3 X% |6 k6 {: @% OLeast favorable distribution, 最不利分布: n6 e8 b8 i2 J, G
Least significant difference, 最小显著差法. ^5 \0 q9 P3 j# G8 ?; B. k8 y
Least square method, 最小二乘法
) G& l1 o; o9 F8 ^: H2 m0 SLeast-absolute-residuals estimates, 最小绝对残差估计
" S! \0 z! d) C* v' Q8 DLeast-absolute-residuals fit, 最小绝对残差拟合$ \) b* K9 U) D& L; M( K, t6 \
Least-absolute-residuals line, 最小绝对残差线: b2 @ B3 F6 w" G. @
Legend, 图例
2 S. a# ^& H4 P& \L-estimator, L估计量
- n) |" L# l3 g+ f6 l* qL-estimator of location, 位置L估计量" C$ ^! t7 p7 v% h. J
L-estimator of scale, 尺度L估计量, H f- k" m$ A
Level, 水平" S" E) ]" k M. V2 U4 x2 h: E
Life expectance, 预期期望寿命
; T5 H# E- i5 I6 p9 {0 cLife table, 寿命表: j/ I; Z4 M; H- l1 [. t
Life table method, 生命表法
8 B: d% q. D- Y( s! j6 {2 LLight-tailed distribution, 轻尾分布# {& v+ e( I' l: D$ T
Likelihood function, 似然函数
( k3 R6 f5 o: V5 }4 l" ULikelihood ratio, 似然比
: _1 ?0 }0 D" L# p! q8 tline graph, 线图
. k0 `/ M- z, ]4 w1 e6 LLinear correlation, 直线相关
/ Z. B: M) y: Z1 {Linear equation, 线性方程
0 Q) A# e+ S6 A6 j/ MLinear programming, 线性规划
0 c# r' a/ ]# X6 ~# L- J% RLinear regression, 直线回归
* u8 a3 ]( h, h" GLinear Regression, 线性回归
: k; F& x3 Q! ]* H; A9 BLinear trend, 线性趋势
! U* }. S7 e8 B' nLoading, 载荷 0 W) A" F o- b ]: l9 z
Location and scale equivariance, 位置尺度同变性
. E8 s& e" `/ ]- S* |Location equivariance, 位置同变性, X$ P3 L8 [# w) l+ F F3 b
Location invariance, 位置不变性* q+ W6 O% Q% i7 t/ T
Location scale family, 位置尺度族
% V1 N5 @7 f3 L% w' kLog rank test, 时序检验
% L" {8 y0 Z1 W/ jLogarithmic curve, 对数曲线
* L$ E, Y" Z4 o5 W$ eLogarithmic normal distribution, 对数正态分布$ V- c& ]9 ?9 x# C5 f
Logarithmic scale, 对数尺度
4 }: v2 n0 q$ d+ R: kLogarithmic transformation, 对数变换+ ~# M! J+ W" M7 z& N
Logic check, 逻辑检查
1 Z+ r5 @- D& O$ J! wLogistic distribution, 逻辑斯特分布
R) j7 W' A# B* gLogit transformation, Logit转换
& ?4 `5 Q: g( GLOGLINEAR, 多维列联表通用模型
# w& F1 L& V9 aLognormal distribution, 对数正态分布
3 v- f. a7 m% W$ a- i1 V) M) ? VLost function, 损失函数) o" D0 ~0 R7 c9 F. N
Low correlation, 低度相关/ F& b8 I0 p, X
Lower limit, 下限
% t# c& u7 _$ j+ iLowest-attained variance, 最小可达方差
+ k5 ^- [5 _0 f9 NLSD, 最小显著差法的简称+ W3 d3 i! r4 ]2 R7 M: w
Lurking variable, 潜在变量5 n! C8 w4 P2 @# j S
Main effect, 主效应
- w$ R3 O+ x+ D8 A0 y& z' x$ ^Major heading, 主辞标目6 U9 ]" i e, q0 Y9 z8 _; f
Marginal density function, 边缘密度函数1 @& m/ A# I3 y( O) |
Marginal probability, 边缘概率& m+ A& s$ p5 n4 L
Marginal probability distribution, 边缘概率分布
- ?# h% Y' `9 q0 i y: ^Matched data, 配对资料
: k/ g8 b& E( LMatched distribution, 匹配过分布6 y/ {6 Y d u* Q4 l
Matching of distribution, 分布的匹配0 `7 \2 q1 V4 |* h
Matching of transformation, 变换的匹配, \( w$ y: a+ N& \" ?6 d/ X$ Y
Mathematical expectation, 数学期望
7 p( d( `3 q( jMathematical model, 数学模型( D$ X% |$ m/ z) b
Maximum L-estimator, 极大极小L 估计量
3 r$ B: G0 G$ F; z# o, i5 bMaximum likelihood method, 最大似然法
0 c' H/ S: R6 ?0 o( ?( V1 KMean, 均数" m6 [+ ]6 k! L7 n) ~ H. E9 k
Mean squares between groups, 组间均方% e$ O. h- Y; O& z0 i! n n1 t2 C3 p
Mean squares within group, 组内均方
! P3 J, P3 }. FMeans (Compare means), 均值-均值比较
/ ]7 G) K) a$ t H @Median, 中位数4 T4 B7 B. X5 t
Median effective dose, 半数效量7 P0 b6 N; Y5 y( Y W: T- U' m
Median lethal dose, 半数致死量
# n! H* T6 \( q5 I3 Z" kMedian polish, 中位数平滑& \0 L/ c8 z& Z- U5 x* h9 Z
Median test, 中位数检验2 V) `, m: r: Z1 s8 |
Minimal sufficient statistic, 最小充分统计量
5 c) V2 v. m, H2 E- YMinimum distance estimation, 最小距离估计
/ x6 S( Y! p; ]7 eMinimum effective dose, 最小有效量
- `1 x2 ? m. f/ `Minimum lethal dose, 最小致死量
; b* v& u8 D9 C LMinimum variance estimator, 最小方差估计量
* d! v% a& V3 `MINITAB, 统计软件包
8 M4 _, R4 x, S/ h2 iMinor heading, 宾词标目" x( A( H& D& T8 _0 W4 m" i
Missing data, 缺失值
' u/ S+ F/ Y. V+ A# z5 ?Model specification, 模型的确定
) p9 R# K& o7 T% {8 }/ t8 Y" aModeling Statistics , 模型统计
. S! [0 x$ [4 |. PModels for outliers, 离群值模型
& q' G, i. n1 c, L- [; ]Modifying the model, 模型的修正
. W. b6 a! Q: ~+ L% {; OModulus of continuity, 连续性模( o% ~. a }1 Y
Morbidity, 发病率
/ L! A9 @/ ~/ I7 D0 VMost favorable configuration, 最有利构形* j, i2 U) E6 l
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
, X# R# a4 [/ zMultinomial Logistic Regression , 多项逻辑斯蒂回归1 j2 W4 X' x x9 u
Multiple comparison, 多重比较
, ]! h; [: c, jMultiple correlation , 复相关4 q% {# ~5 q! ~4 l& a9 j* L c
Multiple covariance, 多元协方差: v( @, w3 ]! ~9 D7 z! @5 I
Multiple linear regression, 多元线性回归* r% n# B6 G6 e* Q" [
Multiple response , 多重选项
. b2 ?. a4 x) w5 I7 ?5 |Multiple solutions, 多解
# ^8 U8 {- `5 B4 i* r3 K" { ?Multiplication theorem, 乘法定理( T2 J0 Z! X9 V2 A( `( t
Multiresponse, 多元响应
2 q5 J. u, A8 w3 [/ W4 h1 b% {Multi-stage sampling, 多阶段抽样4 h$ r+ D* E$ `; ?
Multivariate T distribution, 多元T分布
F- _; ] T& i4 bMutual exclusive, 互不相容
1 F4 x1 G! R" h0 |4 h" lMutual independence, 互相独立- s5 t: h$ y* g; C/ `+ C
Natural boundary, 自然边界
% g7 A( C e8 \( |& S8 s& n% UNatural dead, 自然死亡, z: a7 p' n. W
Natural zero, 自然零- Q" ?) \1 \6 [# N4 T
Negative correlation, 负相关
& y! k" Q0 `6 J5 H" e0 y' C4 ENegative linear correlation, 负线性相关* R% g# ?6 L% ]- ?
Negatively skewed, 负偏4 g; M. f2 m: X
Newman-Keuls method, q检验 K8 O- D- F4 d
NK method, q检验 O: Z5 [! p) ^, G
No statistical significance, 无统计意义
* L; G2 Q+ ~3 O# c [7 U2 O0 uNominal variable, 名义变量, S; a, S4 o$ v# l! v
Nonconstancy of variability, 变异的非定常性
7 x5 r% d2 p& `% @Nonlinear regression, 非线性相关
. a/ t/ I+ v4 a8 a3 M8 b: S3 FNonparametric statistics, 非参数统计: G' A, D7 w# k4 o
Nonparametric test, 非参数检验/ U0 W9 d. W' E" l; X
Nonparametric tests, 非参数检验
5 ?$ d1 S6 [* O2 u+ q7 jNormal deviate, 正态离差
4 a* I% [' [! I/ C7 }Normal distribution, 正态分布
0 C) j# ^+ ^3 n6 C* J% I! W2 ~Normal equation, 正规方程组
( E" S4 p4 A* c1 v- R/ {6 GNormal ranges, 正常范围( z, c+ [) t) |# N, B, u. s! D z
Normal value, 正常值# f! `' l1 M9 d. Y5 B: a* [3 I
Nuisance parameter, 多余参数/讨厌参数/ ] g" I0 }7 S
Null hypothesis, 无效假设 . ~2 k }3 Z8 N+ o8 c' G: J
Numerical variable, 数值变量
4 [+ Z T6 z- hObjective function, 目标函数9 k( B$ \, k+ X4 H4 w$ U: s( S7 i
Observation unit, 观察单位
) {& ]( d6 Q! E! H1 {Observed value, 观察值
7 S* C2 Z2 B) d4 Z: M# D. c2 v+ ROne sided test, 单侧检验, k, c2 j. l5 s" {, K9 c. g
One-way analysis of variance, 单因素方差分析; V& S2 ?% f) j
Oneway ANOVA , 单因素方差分析
; R, L2 \, M) @Open sequential trial, 开放型序贯设计* @( \+ M1 Q2 q
Optrim, 优切尾0 @& n. r5 ]. s- Z R
Optrim efficiency, 优切尾效率6 i2 {* {0 k6 E" o( C
Order statistics, 顺序统计量1 G3 e# ]$ v* u2 i
Ordered categories, 有序分类
" ]" G$ j' x- X+ o9 W9 rOrdinal logistic regression , 序数逻辑斯蒂回归/ R2 a3 U8 h7 t
Ordinal variable, 有序变量
4 J7 t! A( O0 d2 l/ ]Orthogonal basis, 正交基- I5 f4 ]' k9 L+ v: ?
Orthogonal design, 正交试验设计9 H0 V% U- ^! ]+ A0 i
Orthogonality conditions, 正交条件
9 u" h. [- X2 y! RORTHOPLAN, 正交设计
5 z( a; e4 _, A" `0 w- COutlier cutoffs, 离群值截断点
4 `/ i; a2 \7 X8 \2 sOutliers, 极端值3 f! v6 f1 N8 Y9 I
OVERALS , 多组变量的非线性正规相关
& L. L! _: k! O( p/ |$ Y, j( ~Overshoot, 迭代过度
$ h7 @$ b7 m# D, M" i' YPaired design, 配对设计/ p# u' v. z8 \/ s! O/ \7 k1 U8 ?
Paired sample, 配对样本
$ t3 h' S: l$ E: J8 H: Y& iPairwise slopes, 成对斜率
& i8 S$ X$ k% Z1 p: N5 DParabola, 抛物线
/ z8 \+ I3 g! X% q- X9 }Parallel tests, 平行试验
0 z: d& g# J" V. y1 B: LParameter, 参数 Z# }1 Z) W/ T4 A9 D
Parametric statistics, 参数统计
6 y: v) y+ y1 @' j# PParametric test, 参数检验! a# {! j6 N$ o/ {
Partial correlation, 偏相关
1 G% @# m+ U% V7 }3 f8 tPartial regression, 偏回归
" p) P2 P7 l9 ZPartial sorting, 偏排序7 \' g6 _" P4 S8 U& W- P. a
Partials residuals, 偏残差, X; u5 d. h9 Y* O7 g6 j4 m# f; N
Pattern, 模式
; P5 f/ D0 N6 T1 N2 YPearson curves, 皮尔逊曲线
9 n4 d2 w- w h9 D9 n; KPeeling, 退层" o* a( S) c! P9 R
Percent bar graph, 百分条形图2 p& y) x8 {* u2 l" k5 d
Percentage, 百分比3 R9 a/ h6 h! J7 ~& [& Z
Percentile, 百分位数3 [( o" ~) a% c R% w u& V" r8 [
Percentile curves, 百分位曲线
j% R$ K( ~% C3 TPeriodicity, 周期性
/ y7 y4 s" _4 O& ~0 MPermutation, 排列
4 t" Z4 n$ V1 ^: cP-estimator, P估计量7 @. @; z+ R8 X3 M, D8 u C
Pie graph, 饼图. S. c' _6 W! {- ^$ y9 c
Pitman estimator, 皮特曼估计量
2 n7 A$ Q* J, cPivot, 枢轴量/ T/ W. \9 q+ j4 G+ y
Planar, 平坦
. o; J6 s1 A2 c* L' S( Q) ?- M1 JPlanar assumption, 平面的假设
2 i) f; o9 I* ?0 P8 k z. g' `4 _0 {PLANCARDS, 生成试验的计划卡0 J5 H) |4 F& N
Point estimation, 点估计* s$ h' h1 ^8 H- c& [) ]' k! B% f( U
Poisson distribution, 泊松分布9 r$ K% n# ?. J) \3 Z8 {9 ~( j* P
Polishing, 平滑
! W5 M5 ]6 o: G" Y7 `' TPolled standard deviation, 合并标准差/ E5 j! ?3 O2 K( E" K; Q# v
Polled variance, 合并方差: o2 [8 J* T/ p3 E8 n4 j
Polygon, 多边图. B/ F4 P2 s' Q9 l9 Q4 V
Polynomial, 多项式& ], f; }# F# {# e
Polynomial curve, 多项式曲线4 I ]# ]1 Q- W" u
Population, 总体, m# Z( S: n% |% _- P
Population attributable risk, 人群归因危险度
0 K, A8 m* T. W2 a- h6 M7 K! xPositive correlation, 正相关/ x/ t9 U5 N7 \( Z
Positively skewed, 正偏9 j l: o% p' K' v. k
Posterior distribution, 后验分布
5 @4 A9 B4 [- `, D7 H1 EPower of a test, 检验效能
, X3 { [; i' H0 C" V- N6 sPrecision, 精密度 g0 q4 W" W( c% e# i# e4 I6 ~
Predicted value, 预测值
, E+ b4 O! b. p/ t5 l( N; VPreliminary analysis, 预备性分析
) z! }( Q( k$ r" i7 rPrincipal component analysis, 主成分分析
# u& Z2 y6 w/ {6 APrior distribution, 先验分布
6 J: c2 B1 |/ j6 ~" l1 jPrior probability, 先验概率* b9 m8 E$ P1 \% Q
Probabilistic model, 概率模型; R! Y% B) x- i) b7 b& t
probability, 概率
8 |$ z$ A9 O4 T; R9 v+ S' W4 MProbability density, 概率密度 q. _. h/ b; x* b/ u
Product moment, 乘积矩/协方差 [% b% X T/ ]$ V- ~
Profile trace, 截面迹图 d0 k9 f& f$ G) P+ H( r+ M
Proportion, 比/构成比
c* V6 P$ E& r& \" V) M6 L( {Proportion allocation in stratified random sampling, 按比例分层随机抽样
% i! k6 W- r) y; a4 bProportionate, 成比例1 q) [ c( C; h4 q% w4 r, H: ?) b' X
Proportionate sub-class numbers, 成比例次级组含量4 x2 J+ R& @" B2 G3 U
Prospective study, 前瞻性调查- ]7 H- T. @3 g2 g! u
Proximities, 亲近性 7 n" Y* u% D2 n
Pseudo F test, 近似F检验
. ?6 |9 z" Z* h# U J, lPseudo model, 近似模型
9 t j# a' Y$ P% P, f1 nPseudosigma, 伪标准差' L+ G4 A* x% U* H* j: J
Purposive sampling, 有目的抽样, {8 F( G0 R; X
QR decomposition, QR分解. m- j3 W! L* y3 X: C9 J
Quadratic approximation, 二次近似2 v5 D4 I6 j4 `, f+ I
Qualitative classification, 属性分类" J. `. I0 C+ u- M9 O: v3 r
Qualitative method, 定性方法
* i# B1 @" L& tQuantile-quantile plot, 分位数-分位数图/Q-Q图' i G- M' [1 J% b
Quantitative analysis, 定量分析
3 s/ e; A9 h. \2 V* tQuartile, 四分位数6 R3 W8 h& k" Z3 ]
Quick Cluster, 快速聚类
( h }" A y. `! [, }Radix sort, 基数排序
6 E' \" O- b' ?& u- ^4 e7 E# \Random allocation, 随机化分组8 J1 v9 Q+ z0 N( z" r: ]
Random blocks design, 随机区组设计7 R& B3 }7 H6 X2 p* h1 D6 T. @
Random event, 随机事件! B* T9 U. w5 k, `0 ~) b+ S
Randomization, 随机化* j% I& a& f' N2 d2 Q" g. N& Z
Range, 极差/全距
0 l2 k; e/ n+ ]4 |% sRank correlation, 等级相关, W; p/ \( w) v2 v" u& Y
Rank sum test, 秩和检验5 X# F5 a7 G: T+ H& G- Y) V
Rank test, 秩检验# m/ l/ v. R( r
Ranked data, 等级资料' p7 I, J! r; _, [9 c( q) @9 [
Rate, 比率
) O# W: T; I" e3 Q1 o% e2 I4 z6 SRatio, 比例
' ?& Y: n% p$ n0 Z1 aRaw data, 原始资料9 |% d( r! i6 C7 A
Raw residual, 原始残差
) B; @- D5 m1 P+ N; q7 MRayleigh's test, 雷氏检验6 `" u- s; \+ S9 Q5 F$ V
Rayleigh's Z, 雷氏Z值 1 K/ [0 c# q- S/ O
Reciprocal, 倒数
# x/ v% k5 j$ G+ O* {Reciprocal transformation, 倒数变换
* @/ v/ H8 Z& R) @2 E& b( PRecording, 记录
8 D$ m7 O, D0 v' e2 V- CRedescending estimators, 回降估计量
1 v. N% a/ r1 `8 @! z4 ZReducing dimensions, 降维
* @6 k8 o( O# U* x4 ARe-expression, 重新表达8 m4 |; z# p' I$ a4 T1 W7 u5 u! U
Reference set, 标准组$ F+ ]9 L4 z0 Y( x; I8 F9 q
Region of acceptance, 接受域/ A2 J2 y9 Q' X0 s
Regression coefficient, 回归系数
* ~& A: A3 h" a' oRegression sum of square, 回归平方和
6 K9 h- f) E% i2 b- e7 D- KRejection point, 拒绝点
* X# b* B) k* ERelative dispersion, 相对离散度# B* A4 E5 E. j s+ g
Relative number, 相对数9 ?5 B; S( K% b; M5 N3 R7 K1 W" f
Reliability, 可靠性
! ^! R! A) M3 z- I: m6 R( SReparametrization, 重新设置参数) |& c9 e) L2 i2 T
Replication, 重复 S; S8 |: N+ L8 t( ~6 }
Report Summaries, 报告摘要
5 O/ ?& A/ o n7 \Residual sum of square, 剩余平方和( r, D! x1 p z* q/ D! V0 w3 c
Resistance, 耐抗性" @8 |0 q W6 [
Resistant line, 耐抗线0 L$ m8 X$ R1 M. R- G; y9 S
Resistant technique, 耐抗技术) d( R8 u( v& P. w, y$ n
R-estimator of location, 位置R估计量
g" K. t {& u+ r0 H/ ?R-estimator of scale, 尺度R估计量
' K1 d9 Y, ?1 ^2 h; y: J9 q5 f6 xRetrospective study, 回顾性调查. z$ }( b4 @* m' K7 F
Ridge trace, 岭迹
$ {/ j4 M. J2 aRidit analysis, Ridit分析
7 B" U' T# u% |3 ?6 m% ^! g8 cRotation, 旋转
% E" \. Z' Q- K9 \( aRounding, 舍入( f+ ]$ B6 z) x* \7 r% p
Row, 行
' B6 n4 B9 R; V# K9 XRow effects, 行效应
& Y/ q! k; q5 S+ w; F5 b _Row factor, 行因素$ O9 `0 O ^, e
RXC table, RXC表
3 t2 Y b8 C3 PSample, 样本
$ S4 U2 u7 i, X+ d k3 YSample regression coefficient, 样本回归系数5 X8 t8 b( N7 L+ u; L( h7 [- |
Sample size, 样本量) f. H9 e' S. F1 w7 h9 ]8 S
Sample standard deviation, 样本标准差 m0 z- |2 Q k' M& x+ ~) t3 M
Sampling error, 抽样误差6 O! s5 {! j; V7 z" G$ w1 x
SAS(Statistical analysis system ), SAS统计软件包" k7 i6 Z; Q( L" a
Scale, 尺度/量表
) {) ?) u! S3 G DScatter diagram, 散点图% W& a( M7 E3 y4 {. b
Schematic plot, 示意图/简图
9 U8 p! }2 J5 d& e( R3 L, g. ?Score test, 计分检验
8 ?( Q8 K2 N( m# o& |! rScreening, 筛检
/ \! z* U4 T1 i0 {# zSEASON, 季节分析 ! X1 _3 Y$ T: O! [: U
Second derivative, 二阶导数& K& K; W R* U' x- @) T
Second principal component, 第二主成分: l/ P& T. z {3 \+ Y9 A/ {
SEM (Structural equation modeling), 结构化方程模型 9 |' A1 S7 J8 P
Semi-logarithmic graph, 半对数图
9 G) a$ i) K( F( _! hSemi-logarithmic paper, 半对数格纸
5 r( q, a: F$ x, o( U" Q$ w0 z9 ASensitivity curve, 敏感度曲线
u+ k# a9 [8 L7 Q* ^0 w4 B* h% ~6 oSequential analysis, 贯序分析5 W5 d% b! h3 g7 T. s
Sequential data set, 顺序数据集
: s4 s8 [; B0 U/ wSequential design, 贯序设计; R& I! t" i7 G8 J$ h5 [
Sequential method, 贯序法
7 |' F" V; l+ ?9 t: z6 ]9 nSequential test, 贯序检验法, a) R; _4 p8 i/ m9 ~
Serial tests, 系列试验
7 u7 E, o$ i. S. I: u% b& R6 [; dShort-cut method, 简捷法
: D5 Y+ h6 n. L, Z2 YSigmoid curve, S形曲线2 h a) U& e" {$ P: j2 @
Sign function, 正负号函数! i! c$ q$ H: V8 E5 D
Sign test, 符号检验
8 [/ L6 r, e3 H' V# ~" `3 }Signed rank, 符号秩! V6 U3 m" p) d$ |, ]
Significance test, 显著性检验! W6 B6 j* Z& Z
Significant figure, 有效数字
5 F V* W$ n/ w* _3 a4 zSimple cluster sampling, 简单整群抽样% c3 h1 Y' `1 i
Simple correlation, 简单相关
" v k* |5 i1 F! vSimple random sampling, 简单随机抽样+ d2 T' z5 g' P7 C! w+ `
Simple regression, 简单回归
6 I: Y( T6 C' A& W) Zsimple table, 简单表
/ B" y! G; T. }1 BSine estimator, 正弦估计量6 s+ @; p: |0 F4 N' r$ K, M! J% M
Single-valued estimate, 单值估计7 ]+ m6 e! C' Y* S* W5 X
Singular matrix, 奇异矩阵
0 `# z; J9 I- GSkewed distribution, 偏斜分布
! m/ O) s' ]3 U* USkewness, 偏度5 f6 H% `+ o6 A# v. Q; G; h
Slash distribution, 斜线分布, I2 Y% V/ @3 I: Y- X
Slope, 斜率 d1 P h* k7 H5 I( c/ ~. X: ~
Smirnov test, 斯米尔诺夫检验
1 E! b' W5 o. C& z1 PSource of variation, 变异来源) |# L9 h Q# ]
Spearman rank correlation, 斯皮尔曼等级相关) \0 L2 D5 Y m7 e6 _
Specific factor, 特殊因子
! F; i X2 {1 H9 HSpecific factor variance, 特殊因子方差
8 Q9 @# A1 j; M0 t5 f4 PSpectra , 频谱* s7 A' V# {' E
Spherical distribution, 球型正态分布1 d8 ]! [1 h8 U- c% f. ?$ _% }( i
Spread, 展布! B: t0 O! z3 U/ z
SPSS(Statistical package for the social science), SPSS统计软件包! N4 P/ n* f6 `- W- K8 \- _9 W
Spurious correlation, 假性相关( s K; @# D( z- c, {& C
Square root transformation, 平方根变换& V1 b! {1 }( o( W/ d/ w
Stabilizing variance, 稳定方差/ B2 \" k/ r+ h0 M
Standard deviation, 标准差
% L- ^: i# `( s6 x& a, SStandard error, 标准误3 r- a- Y1 |& V& E/ W i4 b
Standard error of difference, 差别的标准误5 y7 z" ~! A2 j3 ~( n
Standard error of estimate, 标准估计误差
) I5 S4 z9 J9 N4 nStandard error of rate, 率的标准误
7 A1 V/ s I% [! B$ f% rStandard normal distribution, 标准正态分布
( X- n0 ~! X' J7 V" @ N' aStandardization, 标准化& C/ z- o1 T0 a' Q5 w! c# }* M0 j
Starting value, 起始值
5 S* h E; ~9 V M0 \2 \/ j) z' ~0 NStatistic, 统计量
3 }3 e6 W9 x, N% z: y1 K5 wStatistical control, 统计控制; c; g; q0 i7 S# U& u$ V
Statistical graph, 统计图
% }. r+ U% X/ L, C1 uStatistical inference, 统计推断7 W- D5 Y9 ?& i! k# ?# ?
Statistical table, 统计表
* B6 F1 c" e% ], {! GSteepest descent, 最速下降法
4 s2 w+ Z. p+ L* g- rStem and leaf display, 茎叶图
' B: t+ x/ Q4 i8 g2 t2 Q6 P% f0 J5 u; yStep factor, 步长因子- g4 o9 M0 S4 d, b! U/ l! O
Stepwise regression, 逐步回归8 ?" O9 E6 a9 L& ?
Storage, 存
0 J* Z# X" G6 x* J+ O) RStrata, 层（复数）
0 G3 z, k7 h# |# [% uStratified sampling, 分层抽样
, `7 s5 y9 B; \& n9 c) xStratified sampling, 分层抽样0 S: I. o& d0 d5 c. m$ Z' ~' R& R# g
Strength, 强度
% N( s8 M) ~# i4 b& xStringency, 严密性
8 z, i0 z% U6 s! Z& m. ~; I% ~, yStructural relationship, 结构关系9 ]' I% Y; |# J/ G E! x
Studentized residual, 学生化残差/t化残差4 S! R! `7 ^ `* n9 ~0 S
Sub-class numbers, 次级组含量
3 h8 R7 Q+ }- {, |- _Subdividing, 分割
8 }0 k( w2 `' H2 ~" @: _Sufficient statistic, 充分统计量, s9 C4 f$ [: t: S( J+ o2 K
Sum of products, 积和
1 Z8 ?0 H8 \" `% }- a: VSum of squares, 离差平方和
) u: F$ j( u: x: t6 }" @Sum of squares about regression, 回归平方和
9 ]1 v; m9 w% N5 H) }* ` [9 b& @Sum of squares between groups, 组间平方和; P K( @& f: j& N
Sum of squares of partial regression, 偏回归平方和
: W9 }* N+ P/ D- ]Sure event, 必然事件
. N: J4 Y5 C0 q# mSurvey, 调查
/ L$ p, l& Z. Q& K) ~* wSurvival, 生存分析
5 t" w3 A- \) C0 g6 j0 s0 ^Survival rate, 生存率
) s: M1 r3 t l9 W; ZSuspended root gram, 悬吊根图' r- \. ]4 t* u1 O3 ] f1 |' |' ^5 e
Symmetry, 对称
/ _+ {' ?# q* `5 m% LSystematic error, 系统误差
( q1 S. R: k9 Z" g: U6 RSystematic sampling, 系统抽样
! n- |: q9 M: WTags, 标签- T+ M( e$ A, R p2 K+ ?! a
Tail area, 尾部面积
: l1 f/ o8 m7 l; d j5 J+ R; V% z$ XTail length, 尾长
. e# v. @' x2 k h8 Z0 s9 OTail weight, 尾重
. ~- G+ ?) R, e, U6 r7 KTangent line, 切线! v- I& r+ ?8 ?( {$ v$ h
Target distribution, 目标分布
+ @% V$ J Q" lTaylor series, 泰勒级数
" E. Y! c& ?8 z: K5 A# h8 YTendency of dispersion, 离散趋势' `" m) n$ h' e3 X; G4 a! \0 z
Testing of hypotheses, 假设检验
) x4 v3 t+ z* Y; O& U/ ^5 p7 jTheoretical frequency, 理论频数( v) O& T, W- ?7 D
Time series, 时间序列' X' V+ _3 H; t' d0 p1 ^
Tolerance interval, 容忍区间
: n9 C f+ ~ ~Tolerance lower limit, 容忍下限
[0 ^6 p `1 JTolerance upper limit, 容忍上限
7 M5 j0 R# P, T$ V0 {; RTorsion, 扰率6 u% @5 ?8 G' j' z) g& b
Total sum of square, 总平方和2 y. K+ {/ r9 S" Y' J* @, ]/ u) k
Total variation, 总变异
3 _. \& X/ e: s: iTransformation, 转换
E( p; H# p2 Q- j3 ]8 ZTreatment, 处理- S' D* ?0 @9 n$ V6 B
Trend, 趋势
6 P- F: e( R! A* C2 rTrend of percentage, 百分比趋势/ H8 X' b& ~$ t8 p z# y9 Q
Trial, 试验& g! N& Z$ t0 S; ^5 ]/ m5 P
Trial and error method, 试错法
1 {( G& \: d* k& ]Tuning constant, 细调常数
* n0 ]1 h4 w. |& _5 A4 d3 l2 d% k" G& a7 M8 `Two sided test, 双向检验, h2 O" k) z/ u2 N Z Z
Two-stage least squares, 二阶最小平方. y: D# J4 o* `
Two-stage sampling, 二阶段抽样
* `. c7 h* B' i4 q, nTwo-tailed test, 双侧检验) U+ R$ r; h# p2 n) S. ?
Two-way analysis of variance, 双因素方差分析
& B' F( \$ v6 Z' K k1 \Two-way table, 双向表
7 e5 u+ }2 U. J. \Type I error, 一类错误/α错误
% ?* a j I0 G4 O- R" nType II error, 二类错误/β错误3 |, m4 N; k! ^ u, F% e8 n9 f
UMVU, 方差一致最小无偏估计简称
& F* S! C: h+ h3 n. E+ k( l$ qUnbiased estimate, 无偏估计 R4 _, z' { @8 Z8 E8 |( p k% k
Unconstrained nonlinear regression , 无约束非线性回归" {( z/ R4 l- |1 [3 Y
Unequal subclass number, 不等次级组含量
* m& B+ `0 Y+ v& { UUngrouped data, 不分组资料
0 s! J; D) P/ x( d9 K1 u8 f" TUniform coordinate, 均匀坐标. O9 u) N. K. N$ x, `8 s
Uniform distribution, 均匀分布
9 ~1 j G$ I4 f$ A' l# f/ OUniformly minimum variance unbiased estimate, 方差一致最小无偏估计
$ T" I6 y4 c; J# i# }+ w; wUnit, 单元3 Y! J3 U+ O6 ]
Unordered categories, 无序分类7 D- q% w7 {' x0 r& S7 L8 [
Upper limit, 上限
/ x( n% Z ^8 vUpward rank, 升秩; J# C/ X: k# W. M
Vague concept, 模糊概念
( a9 e5 T6 K- B# j( v% @' }Validity, 有效性" _8 A5 T( k, E. T3 `# g
VARCOMP (Variance component estimation), 方差元素估计
/ F. n! p2 N) m; sVariability, 变异性
. c0 _% z! K$ W( UVariable, 变量5 E) T# x: U2 ~( y% P& f
Variance, 方差& x1 _: w7 @9 I+ z( \
Variation, 变异* p9 v2 H/ ~5 A2 m5 Y; c) [ q
Varimax orthogonal rotation, 方差最大正交旋转& u/ P1 `! h6 U! ]8 U2 n, H
Volume of distribution, 容积
Z$ k4 ~4 R: @1 c4 m m# D; z, iW test, W检验
; d% @ e$ w. GWeibull distribution, 威布尔分布! [7 z4 [" B) V# z/ j2 `
Weight, 权数
1 k, Q+ @) W* E7 v) JWeighted Chi-square test, 加权卡方检验/Cochran检验
0 d" T' e7 [+ S4 g3 k5 ~. ]Weighted linear regression method, 加权直线回归
5 \ {6 r' [- UWeighted mean, 加权平均数0 u+ W/ K+ s& K5 G/ g
Weighted mean square, 加权平均方差! P! Q! \* N2 Q( [
Weighted sum of square, 加权平方和8 V4 ^! j1 o* {) S, V# v2 t2 X) N
Weighting coefficient, 权重系数- V# R4 p6 b. n$ y V! j
Weighting method, 加权法 8 Z# D) J! T- f4 n
W-estimation, W估计量5 ^) E. ^& r% Z
W-estimation of location, 位置W估计量
, W7 ]/ z% x! Q9 H2 HWidth, 宽度
, w6 J2 s' j& y4 E; \7 L, {7 LWilcoxon paired test, 威斯康星配对法/配对符号秩和检验4 @4 j6 c- R1 ]: n6 i
Wild point, 野点/狂点
r; S2 N1 c, y% {' [, |Wild value, 野值/狂值
3 W, q# G0 z6 I0 a: ^2 JWinsorized mean, 缩尾均值
: M" G2 J/ j6 T% s. B- ZWithdraw, 失访
$ T7 h) _. y1 PYouden's index, 尤登指数
6 w' F ~; [% b8 yZ test, Z检验
7 m" z, D4 u8 ?: g1 m2 D# a5 eZero correlation, 零相关
% u* b4 l* V9 E0 v" Y7 iZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
