|
|
Absolute deviation, 绝对离差) q8 E% M0 E) Z# h' ~! D
Absolute number, 绝对数
7 ?7 W9 Q* V$ G6 p/ q; C! DAbsolute residuals, 绝对残差" p- r) \, h8 s0 C* ^/ v
Acceleration array, 加速度立体阵0 |7 {; ]7 S6 ?$ D. f! _
Acceleration in an arbitrary direction, 任意方向上的加速度
& i5 f* Z/ x2 G- g1 L. _- hAcceleration normal, 法向加速度% i( [5 \; C, |2 Y
Acceleration space dimension, 加速度空间的维数' N& `1 G/ b0 H- \
Acceleration tangential, 切向加速度, c& {8 t9 O& B2 s
Acceleration vector, 加速度向量3 ~% s& R& r; n1 A
Acceptable hypothesis, 可接受假设8 i n0 y5 P; {
Accumulation, 累积9 v) x& n) M* m( @$ y9 a
Accuracy, 准确度
3 [+ {+ o( O V. bActual frequency, 实际频数3 _ E9 y Q. W8 _2 p& N* ?7 F+ [
Adaptive estimator, 自适应估计量% n" C4 R3 n% m& b( P
Addition, 相加4 k- f2 q3 n- y
Addition theorem, 加法定理
* E* \5 D$ y8 I% ~1 bAdditivity, 可加性
* V8 s+ W0 u! G- e' i9 k, bAdjusted rate, 调整率
. h2 B, f: t; f* m5 @5 DAdjusted value, 校正值
) N6 ^( o1 s) |" E& gAdmissible error, 容许误差0 \/ }" L- A! e) c f
Aggregation, 聚集性
$ Y3 v3 ?" o2 J% FAlternative hypothesis, 备择假设( [! l( M! W, F9 c
Among groups, 组间
' F, o, q1 ^1 `- w2 l; ~5 |8 bAmounts, 总量
( w4 \- n6 _' I; }. L1 Y: lAnalysis of correlation, 相关分析
7 V, @2 E$ s4 X8 h& L" M& U3 KAnalysis of covariance, 协方差分析
, y9 T% M+ b; z( f+ eAnalysis of regression, 回归分析" z! q) p3 a) d d% x3 [6 |
Analysis of time series, 时间序列分析
8 x. ^# S% [0 o' ZAnalysis of variance, 方差分析# c, N$ f" r; C
Angular transformation, 角转换
" B- p( N8 P# S; C/ R. lANOVA (analysis of variance), 方差分析* S# o! O+ l8 p3 v, k Z) k
ANOVA Models, 方差分析模型
/ ]* I8 B5 f- c! g: i3 O( u, L% [0 ~Arcing, 弧/弧旋
; m) @" y' |( x+ Y5 O: RArcsine transformation, 反正弦变换
% B7 L) ], x" G# T5 aArea under the curve, 曲线面积* G. U, M C1 i3 I- \# Q/ C# r" R
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 0 \& l' C/ Q8 g9 e
ARIMA, 季节和非季节性单变量模型的极大似然估计 + ^0 P0 O& }5 c
Arithmetic grid paper, 算术格纸
1 ]$ B$ z4 F+ hArithmetic mean, 算术平均数
) T+ S( D2 ?1 P2 nArrhenius relation, 艾恩尼斯关系6 F9 {3 k6 O+ O' ~4 X
Assessing fit, 拟合的评估
& E' p5 J/ M1 P/ l: X( I0 s, C* zAssociative laws, 结合律1 G/ s! L' T z$ K3 \: @/ J
Asymmetric distribution, 非对称分布
" c- k7 s. ^) |2 d# ?' ?Asymptotic bias, 渐近偏倚5 m+ L" _- ^+ M* ?5 M- |
Asymptotic efficiency, 渐近效率
" N8 Z. l7 X7 tAsymptotic variance, 渐近方差: t& i4 t J. k7 R4 Y- W) R: _
Attributable risk, 归因危险度
% q' `$ @; }8 M9 s4 i2 M. I* XAttribute data, 属性资料. X; D2 a7 V9 ^+ R9 ~
Attribution, 属性8 I; C o9 B. Z0 |5 _3 q, ^
Autocorrelation, 自相关
7 _+ n1 g7 ?6 G9 t; HAutocorrelation of residuals, 残差的自相关. I3 S2 h8 i% |2 S
Average, 平均数
( H, ?4 V5 |" J# x+ vAverage confidence interval length, 平均置信区间长度
# @6 ?6 p) G C! t- ?' \Average growth rate, 平均增长率
' z1 P. `8 R& T' J% |Bar chart, 条形图1 M; o2 g$ ~% e' Z
Bar graph, 条形图" J, K3 S/ i m* B
Base period, 基期
7 w1 }6 d& `/ }) `5 S6 g IBayes' theorem , Bayes定理: ~7 Z0 `, ?0 c, V0 |6 m
Bell-shaped curve, 钟形曲线
& p8 P3 Y/ u+ G0 @: g2 \Bernoulli distribution, 伯努力分布
6 }, o+ E4 k( T( N+ r! f* F* k/ FBest-trim estimator, 最好切尾估计量. x; u, D% A3 a0 G% q! C; E0 t
Bias, 偏性
6 J9 \5 w5 y$ `6 v/ I/ ^ VBinary logistic regression, 二元逻辑斯蒂回归
( ]. Q* v/ x/ ?Binomial distribution, 二项分布
5 D) S; a7 L* ~: K3 qBisquare, 双平方/ y2 M5 q" K! M* a4 y
Bivariate Correlate, 二变量相关
, d* S( a" o+ _1 G! F* Q( c) c4 nBivariate normal distribution, 双变量正态分布
' i% @$ k o5 U: ABivariate normal population, 双变量正态总体 Z: M; S3 o3 N) n9 p7 k9 h6 P$ U8 ]
Biweight interval, 双权区间
& ^: A8 R- p$ dBiweight M-estimator, 双权M估计量
8 n: t+ t" ]. `1 `Block, 区组/配伍组5 Q' l3 t6 s6 o$ N4 I3 w& h, @
BMDP(Biomedical computer programs), BMDP统计软件包. K f+ T5 W: I
Boxplots, 箱线图/箱尾图3 _! s' J+ C0 E: C3 H
Breakdown bound, 崩溃界/崩溃点& o) y1 o0 h; N" Z
Canonical correlation, 典型相关3 I1 Y' v# R7 @, p$ ?
Caption, 纵标目
% _, c: d* n! A7 \Case-control study, 病例对照研究
6 I, |' Q: h2 }4 Q! N+ WCategorical variable, 分类变量9 \8 \; }. U/ Q; }/ Y% S% L
Catenary, 悬链线
$ V2 q# n/ j; Z! | m7 {4 U- WCauchy distribution, 柯西分布
! f" E5 d# q b! @Cause-and-effect relationship, 因果关系
# Z9 v% ^) R6 j2 g% v9 Z+ M' \Cell, 单元
3 I& u. j/ ^! M' Q8 M- D3 i) qCensoring, 终检! F T8 N' |6 k- w( B0 ?9 ]
Center of symmetry, 对称中心
2 g# X% E) Q" J7 BCentering and scaling, 中心化和定标
4 T8 H0 o" ^2 D6 `Central tendency, 集中趋势& B- U9 M3 ~7 }% t+ K4 Q8 S
Central value, 中心值, O* j+ T; X( x( b
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测8 o$ i6 l, Q2 ?. w
Chance, 机遇7 @4 f8 f7 J7 ? j, V
Chance error, 随机误差
6 L( v: n2 P- {( q- t/ {Chance variable, 随机变量
$ R% x- F8 M3 U# }+ v4 p: V+ qCharacteristic equation, 特征方程
% x$ D( S& w: n* L' W8 U( oCharacteristic root, 特征根
7 i# d, W. \% {8 Y9 eCharacteristic vector, 特征向量# q/ @4 I% ]: v/ h- G, I
Chebshev criterion of fit, 拟合的切比雪夫准则
$ v) [1 S3 N: Z6 O( `Chernoff faces, 切尔诺夫脸谱图: [1 F5 E# _+ @6 X& G
Chi-square test, 卡方检验/χ2检验
6 y2 L% H5 ?4 `. OCholeskey decomposition, 乔洛斯基分解. H& r1 O: L* _% [+ p# c: ]& D
Circle chart, 圆图
/ s ^+ |' P; c i* |- V3 T% H) dClass interval, 组距
0 h1 r4 w2 {9 m& Z: rClass mid-value, 组中值
1 L- ~- z- y. ]- I2 \8 A7 x8 eClass upper limit, 组上限' R: ^. G2 h4 T5 H
Classified variable, 分类变量
! d( P/ x4 [, l9 X8 x% sCluster analysis, 聚类分析1 F5 ~7 ]1 _1 E2 S: U4 u
Cluster sampling, 整群抽样$ `$ w+ ~7 P0 m
Code, 代码
( g6 |9 M! \% P I& ~Coded data, 编码数据5 z" ]/ U- b% X' a
Coding, 编码
, R2 t. k: E9 V+ |: @Coefficient of contingency, 列联系数3 q1 Z; w- x' F' \
Coefficient of determination, 决定系数
: H1 A( |4 J' FCoefficient of multiple correlation, 多重相关系数
# \8 r7 D: D$ Y; P/ b" @Coefficient of partial correlation, 偏相关系数' u/ N4 i8 s. Q% Z8 c
Coefficient of production-moment correlation, 积差相关系数. U( N o9 g/ w; l8 g7 A, H
Coefficient of rank correlation, 等级相关系数
1 z' S4 G2 H' V! e: S# S& bCoefficient of regression, 回归系数
5 n9 c9 b+ [, P; oCoefficient of skewness, 偏度系数% f. a$ B6 X& d/ _" A* f9 C1 I2 q7 @$ k
Coefficient of variation, 变异系数
$ _' X/ E7 N2 u6 j) `& n; e$ v$ V" rCohort study, 队列研究
" }1 s3 \. [" B Q! SColumn, 列4 Z8 v$ Y3 l( k& Y* ~6 K0 c
Column effect, 列效应% y" X) l+ {) d: R+ o
Column factor, 列因素* v; O" d/ H1 n: V
Combination pool, 合并0 F4 u( K. X) K
Combinative table, 组合表* ~( n& J" d# E6 h# B& t% E
Common factor, 共性因子% W6 Q; z4 f4 R$ _/ `
Common regression coefficient, 公共回归系数
" P7 z! U8 b h- Z/ wCommon value, 共同值
* { i* L% a( l; ]; ?9 \8 Y6 q, ICommon variance, 公共方差- j& R2 ~, O# l' l
Common variation, 公共变异
; u% ^* }$ t. f+ @Communality variance, 共性方差
& m; f$ a* O; m. U- f' a( g: H" lComparability, 可比性
" N2 A; R6 z& ?Comparison of bathes, 批比较
2 |* G% { ?: m, b% r' oComparison value, 比较值
9 X$ u4 H6 c) l% [Compartment model, 分部模型( F; H) k1 C; D# L6 h
Compassion, 伸缩3 r( I! X5 [3 ~, d2 S) ~- {. s
Complement of an event, 补事件! F/ J1 j0 M! S
Complete association, 完全正相关
2 v, i6 }; s) E' G$ [4 {Complete dissociation, 完全不相关
9 w. I' y9 z/ v+ b" s; VComplete statistics, 完备统计量
; q; L4 p& W) R. W' ?( q- v' J( YCompletely randomized design, 完全随机化设计9 X' P. n3 O3 o5 A% D* z
Composite event, 联合事件
* N# G0 y& w! h% oComposite events, 复合事件
' ^9 x2 L1 M: LConcavity, 凹性
: a0 t: n' b- y9 Y: b& |Conditional expectation, 条件期望
# l2 V$ @0 n1 G. p( B+ G2 yConditional likelihood, 条件似然: `* S7 p7 ~/ v8 ]% l2 C
Conditional probability, 条件概率( n6 [& {* p/ P, S) a
Conditionally linear, 依条件线性4 I: A* m& e. i5 G0 s0 t
Confidence interval, 置信区间& |( Y& y+ g1 {% J- x5 O
Confidence limit, 置信限0 C' u; u0 L" I+ \, L5 s
Confidence lower limit, 置信下限
& ?5 \& U! h: E2 B5 G3 \, @Confidence upper limit, 置信上限3 W* I' @1 M, H& T
Confirmatory Factor Analysis , 验证性因子分析! Q$ b; u( A; W. Y7 D# d p9 b
Confirmatory research, 证实性实验研究1 D1 P0 F$ t$ n4 {% R
Confounding factor, 混杂因素1 e3 J3 o6 u2 l; v( i
Conjoint, 联合分析! Y( Z% d& C n2 I
Consistency, 相合性
: o! k5 O4 {5 V8 |8 D. T2 i: fConsistency check, 一致性检验
8 z! u1 B$ L5 D5 E1 ZConsistent asymptotically normal estimate, 相合渐近正态估计
; F4 B4 @. m* @2 Q" SConsistent estimate, 相合估计# v4 b/ ]7 E3 ], m! r4 o" H
Constrained nonlinear regression, 受约束非线性回归/ k2 _9 ^8 S) n# l
Constraint, 约束 e) D' C8 h! d6 I% Q [1 ?5 S& {
Contaminated distribution, 污染分布
3 Y( Z+ V& c7 G" rContaminated Gausssian, 污染高斯分布
) {& c# W0 c/ z% w+ oContaminated normal distribution, 污染正态分布
! ^; E; Q7 h1 aContamination, 污染
# c3 R/ ?& W. i7 x$ x. I! `Contamination model, 污染模型
9 C( Q$ I3 M- ?$ }6 {- v; eContingency table, 列联表3 e" T ? B- }8 d
Contour, 边界线
2 ^" S) U: M# SContribution rate, 贡献率# V+ h2 _$ J, n
Control, 对照+ O2 B: N8 [; T y$ ~8 G- D
Controlled experiments, 对照实验2 V5 p1 j# m* d. g
Conventional depth, 常规深度
' g4 O+ A* ]! {8 Y, e3 b& m* V8 EConvolution, 卷积
4 A$ E q4 E. Y2 k* f0 BCorrected factor, 校正因子
/ z5 r/ ~5 T# z6 w% [Corrected mean, 校正均值0 R! a8 W: w. m. x
Correction coefficient, 校正系数
& E* \1 F3 L; c, Y" m2 K1 d( h* a/ XCorrectness, 正确性
: S2 j# E) s* H: DCorrelation coefficient, 相关系数
1 Y' l" j) p7 sCorrelation index, 相关指数4 ~( o6 I8 Y( Y5 F
Correspondence, 对应
' |6 C7 k0 u( q' D/ hCounting, 计数
" \' c2 N2 P: K0 O- F% U; L# ZCounts, 计数/频数0 k7 f7 x! e' p7 j/ H4 Z, Q
Covariance, 协方差
' ^0 Y( |# v) LCovariant, 共变
9 J* ~4 t2 k7 ~0 F: C' {Cox Regression, Cox回归
6 b" {5 i$ E& U+ _" L; fCriteria for fitting, 拟合准则. s+ O5 |7 U1 s
Criteria of least squares, 最小二乘准则
- P. f0 t) a5 ICritical ratio, 临界比! P3 f; C5 w0 o2 {+ X, ^
Critical region, 拒绝域# B: F9 }& w7 C
Critical value, 临界值6 {% L! F; l3 H, g/ [) Y# n# H6 y
Cross-over design, 交叉设计
0 F$ A" B2 Z6 W& F$ |0 t, gCross-section analysis, 横断面分析" }4 C. m2 I+ B _% ?* \4 _) O5 s
Cross-section survey, 横断面调查$ V+ m* U; Q8 p* G% k7 }
Crosstabs , 交叉表 6 `$ L9 X" U: D# `) @
Cross-tabulation table, 复合表1 _/ e8 j% Q; m4 r( s/ V* c; S
Cube root, 立方根' x2 e1 V- P2 U4 h5 p
Cumulative distribution function, 分布函数2 B" \% H6 Z4 Z% M" g
Cumulative probability, 累计概率
$ V) Q2 J; ]! s! U( ^$ fCurvature, 曲率/弯曲- J, f$ M/ S! [- b! {( {( C
Curvature, 曲率4 ]; l$ l3 ?1 D7 { A
Curve fit , 曲线拟和
+ O4 ~: x( @3 Y- \: _) ICurve fitting, 曲线拟合
' g" M' h7 ?% V0 a3 D" w& GCurvilinear regression, 曲线回归* Z) Q; L% ^1 Y
Curvilinear relation, 曲线关系
8 n5 n% P( T, mCut-and-try method, 尝试法
2 X% E% i7 \4 z: XCycle, 周期5 n% v2 a, S- P
Cyclist, 周期性- R* X; T4 {6 p" w6 E8 B3 N( L
D test, D检验
5 a) l5 f- l ~5 QData acquisition, 资料收集
, Z0 V6 i: p% \/ u) ~0 F* hData bank, 数据库& i6 b- ?" K$ n# Q% C
Data capacity, 数据容量
L- P0 T9 \; V; d; KData deficiencies, 数据缺乏
! D2 {- i4 P6 G4 FData handling, 数据处理
% U" b) I* _/ r2 Z& `Data manipulation, 数据处理
( f, u$ O: J9 e* S) R L# HData processing, 数据处理: h( l/ o0 E: W% E! v+ \
Data reduction, 数据缩减5 C/ Z6 p* d! Y0 O) i
Data set, 数据集$ M/ g" P' W/ D0 ^: h/ b
Data sources, 数据来源
& k1 u0 o' h8 G2 b. B6 YData transformation, 数据变换
4 w: Q% N7 `0 ~7 m3 Q B2 F$ i, PData validity, 数据有效性( }, n4 Q4 L7 [5 j# l2 `
Data-in, 数据输入! W: O% o5 Z i ?& d
Data-out, 数据输出1 S L3 [' S+ c& l( o( g* v
Dead time, 停滞期3 q5 J4 ]. b I* P/ \
Degree of freedom, 自由度
8 f5 y% ]5 t X* [" t# yDegree of precision, 精密度
* O; P. i5 `/ l0 E% _+ xDegree of reliability, 可靠性程度
9 U/ U5 B9 p; E* o, i' IDegression, 递减6 e# f' N* ], {! f3 C: m9 N
Density function, 密度函数8 Q0 E. _. n- X
Density of data points, 数据点的密度
1 I7 A, p' G. pDependent variable, 应变量/依变量/因变量4 d/ }3 W( V8 R3 y
Dependent variable, 因变量
5 t7 L$ a6 K* g# BDepth, 深度
# m3 R/ f* e' r# f5 p c# {- EDerivative matrix, 导数矩阵
5 |, V0 K9 S& ^$ GDerivative-free methods, 无导数方法
1 @4 j! r! I8 L- T" B; U9 b% rDesign, 设计& j1 l$ m B/ M: j: a1 V( ]
Determinacy, 确定性/ |3 n; s- E% x- f. g
Determinant, 行列式, [1 ?+ C# i. N! f
Determinant, 决定因素( r, h7 B5 p0 F4 S
Deviation, 离差
' L* w2 {2 {1 F/ f+ h4 P, {Deviation from average, 离均差
- D- s1 U- o+ M7 B! U7 lDiagnostic plot, 诊断图
$ \) [. N9 k. xDichotomous variable, 二分变量
( U# x. o( ?1 GDifferential equation, 微分方程
; e6 |! K' Z, E; vDirect standardization, 直接标准化法
' t9 ~( X! R5 E; M/ y2 SDiscrete variable, 离散型变量# y3 _ U* L- h/ e1 o$ J0 f
DISCRIMINANT, 判断
1 I1 Q2 y( F" c' n( h1 X" _Discriminant analysis, 判别分析8 P% y* N$ Z# e1 ~' T0 Q
Discriminant coefficient, 判别系数# `! [' l" i/ X' A- v$ t: u0 r( U
Discriminant function, 判别值
) C1 g8 X+ `4 l' c2 j0 iDispersion, 散布/分散度8 S9 E% i2 S3 D$ C3 m
Disproportional, 不成比例的
6 ]9 Y$ _8 C& mDisproportionate sub-class numbers, 不成比例次级组含量, T+ ^6 P* R) l6 Y. y
Distribution free, 分布无关性/免分布
. N1 g& }- S; D5 h9 QDistribution shape, 分布形状
1 b$ R1 p" v( X3 \0 C0 W2 MDistribution-free method, 任意分布法9 `1 ^/ j/ I0 w; M
Distributive laws, 分配律
) ~. v; Z. A6 o/ LDisturbance, 随机扰动项5 A* A3 E) R4 P3 `; g1 U! z$ c
Dose response curve, 剂量反应曲线* L8 W3 ~, C$ d
Double blind method, 双盲法2 d4 b1 V5 J" M) c( @) e- y
Double blind trial, 双盲试验
" q/ f! m: ]: QDouble exponential distribution, 双指数分布% v! f- L% l7 t( e9 y
Double logarithmic, 双对数$ K' D2 j a8 Y; V" B8 `' _8 ?
Downward rank, 降秩
2 A( B2 a: k6 k; J( M3 qDual-space plot, 对偶空间图6 ^2 B" V# @" N7 d
DUD, 无导数方法& h: D% G4 `9 g" {& c
Duncan's new multiple range method, 新复极差法/Duncan新法& E5 y* f* L' n4 Z) t
Effect, 实验效应8 v5 A. A! x/ w5 }) z8 p
Eigenvalue, 特征值
$ F1 @' v/ Q1 H; REigenvector, 特征向量
3 ~( Q1 N5 \% `! z0 J) l9 kEllipse, 椭圆* H; u: F. `& ?
Empirical distribution, 经验分布
0 I# p) B# P X' y/ @' kEmpirical probability, 经验概率单位 Q( @0 @/ x& l- L- W3 |; z6 ^
Enumeration data, 计数资料# D( T, d; }# H4 y
Equal sun-class number, 相等次级组含量5 G! K8 K) S x& \
Equally likely, 等可能# E; ^1 X7 h# s* F
Equivariance, 同变性
' U; j2 Z/ Q! o: U( A+ [! FError, 误差/错误2 x) D. P" k8 Z7 g% o( m, d
Error of estimate, 估计误差
$ r& e' w* v+ k3 \0 n# M! cError type I, 第一类错误
/ m: U7 }+ t$ _( V7 S/ m4 LError type II, 第二类错误3 M" G h+ ?5 n0 L/ h' K! [
Estimand, 被估量
$ o/ g+ _5 X9 H; s4 ^4 }# P% TEstimated error mean squares, 估计误差均方; W4 ?( q. t. o. L) g b6 A
Estimated error sum of squares, 估计误差平方和
% x% j0 J/ U, O6 M* tEuclidean distance, 欧式距离' I6 x3 ]5 U! d+ V
Event, 事件
* F" h. x+ V3 W% Q! L3 Q, A. UEvent, 事件( z6 @ P5 b2 e5 d
Exceptional data point, 异常数据点& o! i+ h6 B1 F
Expectation plane, 期望平面+ T! e8 @% \* W, k' T$ a
Expectation surface, 期望曲面 x- M6 y% D6 I1 p
Expected values, 期望值
7 G) t" V& V" ^1 \" [Experiment, 实验' i) W& {. l' c2 z
Experimental sampling, 试验抽样% b9 e( n( c- v5 |$ W5 h) S
Experimental unit, 试验单位+ L* b5 j% I) u. j
Explanatory variable, 说明变量
# I u/ r& z$ w$ A5 P4 p! T1 XExploratory data analysis, 探索性数据分析
: b8 s4 d1 E: m3 xExplore Summarize, 探索-摘要9 k1 v: F0 x' N0 W4 X- f8 U) f0 G
Exponential curve, 指数曲线
0 i3 G1 K7 }* k) w3 p3 ~Exponential growth, 指数式增长
5 y" g; A, m! vEXSMOOTH, 指数平滑方法 0 j- R7 V7 N3 z8 h
Extended fit, 扩充拟合
% _: B' v3 G$ b7 v+ EExtra parameter, 附加参数9 u) D" E+ f( [
Extrapolation, 外推法
: T, F( l1 ?3 J0 ^! N9 ?Extreme observation, 末端观测值: E6 _; ?3 q/ P2 L: L2 |( x, {
Extremes, 极端值/极值9 _2 N& n: H1 g$ H) o) f
F distribution, F分布
, I3 }8 c8 K; |' V2 B Q* ]F test, F检验
& p" }, E9 J; w0 {' o% KFactor, 因素/因子2 B% m# B+ r. l$ S5 f
Factor analysis, 因子分析: v! y) g9 Z( y$ Z2 s) n
Factor Analysis, 因子分析9 r; y. v- }0 J' }
Factor score, 因子得分
% Y% o, A# K7 M4 P% ~1 p- ^Factorial, 阶乘
! Z: x! y; ?" y' _9 r: lFactorial design, 析因试验设计
" w/ i- ~ j1 J4 d7 X, y+ U, [/ pFalse negative, 假阴性4 E( ]; w/ K, Z( t) P
False negative error, 假阴性错误
! T4 E, O) q3 p) y% v9 a1 y# {8 mFamily of distributions, 分布族7 {2 `4 n; g0 N0 Y
Family of estimators, 估计量族% }$ N2 [' M" y9 U3 d
Fanning, 扇面/ j' `2 X. P; K/ `' }. e/ o
Fatality rate, 病死率. f2 A- T* K% p# B* N" ^
Field investigation, 现场调查: A8 G3 j- ~0 v5 f q$ Q
Field survey, 现场调查+ k" z' N% N9 K
Finite population, 有限总体7 N! B; ?5 y# P& o
Finite-sample, 有限样本
, H9 v. D* Q$ v1 yFirst derivative, 一阶导数
0 E' t0 S+ |1 |. K# j3 f* jFirst principal component, 第一主成分% `7 H# O3 U' G$ }5 P7 i
First quartile, 第一四分位数5 u3 o' V: x Y% ]0 n6 m }$ P
Fisher information, 费雪信息量" Q0 m$ h& u5 }* T- x0 r2 k
Fitted value, 拟合值1 ~7 n2 B$ h; E5 e# k* D
Fitting a curve, 曲线拟合' Z6 y0 u; \, B* x6 j) O
Fixed base, 定基- f4 _2 }2 _* L# Y2 R
Fluctuation, 随机起伏
# {- V# j6 p9 \4 F/ p* z& `" kForecast, 预测
* P, n( D3 M( }7 @& bFour fold table, 四格表
, x8 C# n& ?- ]5 o$ dFourth, 四分点: p2 P" O2 m! {
Fraction blow, 左侧比率( C, A+ u2 k* N, S, @5 h' x8 M% S$ Y: \
Fractional error, 相对误差) o2 H+ B$ R/ t( [
Frequency, 频率
$ F( L4 ^% W0 y' x+ Z2 }+ QFrequency polygon, 频数多边图5 z- E: j3 `) f I
Frontier point, 界限点
# |. ?3 R1 C7 P6 {3 GFunction relationship, 泛函关系0 D3 I& a4 C& l. [1 r4 d: ]8 Z
Gamma distribution, 伽玛分布. j, C! c. O* f# X5 U: A$ h+ m
Gauss increment, 高斯增量
; w" X. ?. _( r/ V7 yGaussian distribution, 高斯分布/正态分布; `; o4 i1 p; X9 c7 y7 g
Gauss-Newton increment, 高斯-牛顿增量1 J, U" z' {3 l* L% ~, D1 r
General census, 全面普查6 S* B7 F& g# R) X7 ^. l9 `
GENLOG (Generalized liner models), 广义线性模型
7 V4 u0 ]4 c8 j* v# MGeometric mean, 几何平均数+ T! y6 O2 i6 ]8 L9 W5 g
Gini's mean difference, 基尼均差' Y. l8 y$ M& |1 p5 {
GLM (General liner models), 一般线性模型
) y% a, a! [! r5 i0 JGoodness of fit, 拟和优度/配合度. B2 B: e" s1 B/ D7 l
Gradient of determinant, 行列式的梯度. b2 w& |: e: t; R; O
Graeco-Latin square, 希腊拉丁方
* X; H# s u Z+ _) ^Grand mean, 总均值
% ~$ O0 |) X) o" ]; ^& I% VGross errors, 重大错误
2 Z; h6 U. ~, h6 ^' P6 g) eGross-error sensitivity, 大错敏感度
# h+ j3 X$ e0 X( D7 T! {Group averages, 分组平均
; y7 W0 P0 m1 i5 o# `2 U" ZGrouped data, 分组资料. `: Q4 J0 v- Y- J# P' I
Guessed mean, 假定平均数
# J, X$ t8 l5 ?6 g8 WHalf-life, 半衰期 z% w- u, E! e- w
Hampel M-estimators, 汉佩尔M估计量' U2 K& i3 a* U- y+ p
Happenstance, 偶然事件
) v0 F: Y# \8 a% bHarmonic mean, 调和均数
( d' P" j3 [6 s* R+ sHazard function, 风险均数
b. z7 Z- |$ W! xHazard rate, 风险率7 ]' l0 O& g& n
Heading, 标目 f5 I4 P% u% z* s5 N+ B8 [% f
Heavy-tailed distribution, 重尾分布
: Q- O7 U9 u' r9 G/ YHessian array, 海森立体阵
7 t3 ~; [. D+ W0 H, ^( f, `' r' NHeterogeneity, 不同质+ [# F7 G+ S: X3 T% R4 o; G$ d
Heterogeneity of variance, 方差不齐
# a$ h) J: A* f, T- aHierarchical classification, 组内分组* l& c( U/ m# t+ Z: H& w: P
Hierarchical clustering method, 系统聚类法
& D: e' j% h, Z5 ^High-leverage point, 高杠杆率点$ U8 x. a8 R3 I* B9 a4 I
HILOGLINEAR, 多维列联表的层次对数线性模型2 I: Z; A) {: J$ K& I
Hinge, 折叶点7 z, A$ Z- B% z. B9 A9 \; D3 |
Histogram, 直方图# n0 M* ~+ r) `8 g+ n$ x
Historical cohort study, 历史性队列研究 9 p; T0 y( T% Y, T: I/ q5 ~
Holes, 空洞* q6 j3 G5 \7 k5 n, p
HOMALS, 多重响应分析
( R$ U3 m' N6 \# V hHomogeneity of variance, 方差齐性, Q2 k& T6 B6 S# w( a) n
Homogeneity test, 齐性检验- ^$ _) V1 L5 b3 |/ \
Huber M-estimators, 休伯M估计量
# U6 E4 _+ m4 @1 JHyperbola, 双曲线
6 Y* l0 L S' v9 u4 ^5 NHypothesis testing, 假设检验
, ^' w9 v& i; vHypothetical universe, 假设总体
- y/ K4 W' @- B# g) I) w, c+ sImpossible event, 不可能事件
+ L& e x/ c v3 |Independence, 独立性
Z- H1 `! y% p$ a( H3 I VIndependent variable, 自变量" O' B) ~: z4 Q- ~3 k; {' q) h
Index, 指标/指数4 I+ \! l' ?% i' O
Indirect standardization, 间接标准化法
9 G, K( Y2 \1 Z" ~7 i% O: KIndividual, 个体
2 |" U4 Y2 Q4 z( AInference band, 推断带
6 a4 ?( l2 _+ ^Infinite population, 无限总体
* a' J. i, j# M3 oInfinitely great, 无穷大" e+ ^* P1 Y' @ W7 W% b" R0 J& V
Infinitely small, 无穷小
. U% j3 B& W9 dInfluence curve, 影响曲线4 h4 r# \& ~4 [# |* e
Information capacity, 信息容量1 s# J2 {3 Y& Y* O- t5 D1 i3 Z
Initial condition, 初始条件1 O. T5 }0 I( M, U/ S' n0 G1 ?
Initial estimate, 初始估计值* y3 M1 R0 T7 ?# n% m
Initial level, 最初水平+ a m1 l; ~: d
Interaction, 交互作用
. S* V: z) [( J$ I* iInteraction terms, 交互作用项
2 d% ?6 M, d8 E5 HIntercept, 截距" C2 d$ M( \, a" D) U2 A
Interpolation, 内插法
8 v2 _; ~- Y" ]Interquartile range, 四分位距3 s9 m5 L [, Z* A' Z
Interval estimation, 区间估计
2 z; x5 [' e' U: a* I( R9 WIntervals of equal probability, 等概率区间. n; Z7 m3 d5 ~0 r2 P. e1 Y' \. {
Intrinsic curvature, 固有曲率
$ e) |3 U/ R. v9 w. c. j! W, N) [& JInvariance, 不变性
# G) R0 N; o8 {$ p* HInverse matrix, 逆矩阵2 w7 j j+ h( _ y; f/ P
Inverse probability, 逆概率: O3 |$ v5 d0 Y$ M
Inverse sine transformation, 反正弦变换4 @& u0 F, I7 i( j0 }% D
Iteration, 迭代
j) V% q( x1 m* ~. ]7 ~Jacobian determinant, 雅可比行列式- `- y( }% o% \6 }& O) I
Joint distribution function, 分布函数* y8 X: Q# v( v: I# F4 d
Joint probability, 联合概率4 L& b' D3 j- z7 W
Joint probability distribution, 联合概率分布7 B2 [0 Z) U) {/ p1 `
K means method, 逐步聚类法
, T( S2 U' j- j$ B8 XKaplan-Meier, 评估事件的时间长度 a. [7 m1 [6 h5 S. z
Kaplan-Merier chart, Kaplan-Merier图
& o+ j( h! k4 h2 j2 AKendall's rank correlation, Kendall等级相关' u E* j) c0 m+ n3 I/ R9 N
Kinetic, 动力学
# `& j& q1 i; p; C% P" y0 SKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
6 `. z! r/ e( e9 G6 V2 kKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验 v# R5 P6 H% v' p
Kurtosis, 峰度
; k4 ^; T! m; r) i" _) c4 x+ mLack of fit, 失拟
' ]4 E& H) Z; s9 p3 J, QLadder of powers, 幂阶梯: s* L3 f9 C! L) t8 Z& ~
Lag, 滞后
! D: Z( n5 H& z% ?Large sample, 大样本
# g9 T4 f' T1 s6 LLarge sample test, 大样本检验, c! a; U0 ~7 m& S
Latin square, 拉丁方6 |% R c6 f: j* p) d& H3 }. z
Latin square design, 拉丁方设计
& l! V `2 x# r+ e+ y* XLeakage, 泄漏3 o u# k) s, H: B( m
Least favorable configuration, 最不利构形7 q) v9 m# e. q! {% o
Least favorable distribution, 最不利分布
5 M3 V3 Z% r3 t& L0 L4 PLeast significant difference, 最小显著差法9 c% h [' G m) t& z W
Least square method, 最小二乘法6 I( \" U! I6 g* d) r9 _
Least-absolute-residuals estimates, 最小绝对残差估计
7 ~3 T7 u% N* w1 u, XLeast-absolute-residuals fit, 最小绝对残差拟合6 G$ P6 ~9 z% v
Least-absolute-residuals line, 最小绝对残差线
( v9 z- F. x) s, j3 l0 w8 _! MLegend, 图例
) T" N i3 i0 Y: V+ f/ sL-estimator, L估计量
, ?: O5 q" \6 r, _- u8 l3 AL-estimator of location, 位置L估计量
# A: C, I2 r x0 |% t$ J7 mL-estimator of scale, 尺度L估计量
' _8 J. z2 w1 I1 RLevel, 水平$ {% k, d8 C$ l: x9 q
Life expectance, 预期期望寿命
% p0 G& |- m3 X3 QLife table, 寿命表! }9 N1 r* Y/ D( j' }5 y
Life table method, 生命表法
) ~' x/ b+ ], g+ U, f' s+ zLight-tailed distribution, 轻尾分布6 h8 X5 W. m/ X' r( x. t' A! U0 O) ~; Y
Likelihood function, 似然函数
3 g9 W8 Z' c% `6 L- aLikelihood ratio, 似然比2 B8 y( U% g) A- r2 ?
line graph, 线图( b9 R$ K' {& w: i# B
Linear correlation, 直线相关; G" @: j7 \" t9 O
Linear equation, 线性方程& x2 r, W5 K3 ?' k2 s
Linear programming, 线性规划5 D! e0 ]8 Q; ]7 J# U7 s* r
Linear regression, 直线回归
$ e4 r+ h/ |/ O/ v4 sLinear Regression, 线性回归
/ q( F% |# ^1 KLinear trend, 线性趋势* K, N( i) I& h4 e
Loading, 载荷 4 X" u9 n3 w8 y: M: J$ Y7 h
Location and scale equivariance, 位置尺度同变性 e5 J* l! K% _* q& E; l
Location equivariance, 位置同变性
3 Y; Y, q) y# h$ v: a' H l1 F/ QLocation invariance, 位置不变性8 K& \9 x0 z( n( d/ a
Location scale family, 位置尺度族$ B/ }9 d2 h# D0 T# c, @
Log rank test, 时序检验
$ g1 b% }4 V+ H! `Logarithmic curve, 对数曲线7 J) u& s# b* Z/ F0 e
Logarithmic normal distribution, 对数正态分布# l1 ^0 v1 d i! y+ L& E6 `
Logarithmic scale, 对数尺度
2 n/ D# [' l, x/ H) lLogarithmic transformation, 对数变换( K0 L# O) x, M1 V' {; W- c
Logic check, 逻辑检查" M/ q! J3 S; v7 f
Logistic distribution, 逻辑斯特分布
% J$ [8 i/ g& Z+ q1 {7 ` }) d9 MLogit transformation, Logit转换5 G- c0 f) F4 y
LOGLINEAR, 多维列联表通用模型 & L/ j" f2 s+ V2 w9 R- {" H
Lognormal distribution, 对数正态分布
0 q' b8 h5 c% |& F# uLost function, 损失函数
; S5 c* ?7 w& g3 W( Q9 @& Q; ALow correlation, 低度相关/ J p; h$ @! }" a
Lower limit, 下限
A9 j, }* { }0 {9 K2 TLowest-attained variance, 最小可达方差
% y& X" ?, C! `$ [LSD, 最小显著差法的简称1 V V: l. H1 [: u
Lurking variable, 潜在变量* l. y3 N% ?1 `" X U
Main effect, 主效应
' K- @8 H5 }3 M+ i$ e& A6 SMajor heading, 主辞标目
9 n. K0 y) w5 ~( r1 W/ wMarginal density function, 边缘密度函数6 e' s* W7 D. G' L D
Marginal probability, 边缘概率1 l5 l3 r2 l. b2 ?: p
Marginal probability distribution, 边缘概率分布9 I% ^0 j( \; \, A
Matched data, 配对资料% k X6 l% }7 b! b. w
Matched distribution, 匹配过分布2 U( y9 s2 S" Z/ o! I7 P/ f& n
Matching of distribution, 分布的匹配
8 _0 X5 ?# B, r8 h8 x* l& aMatching of transformation, 变换的匹配. Y, k' }7 q! g9 `: q- U9 e
Mathematical expectation, 数学期望) c# u# ]- @3 a
Mathematical model, 数学模型
4 j9 D f ]; ^1 M! sMaximum L-estimator, 极大极小L 估计量, Y! R- D( ` n+ Y1 o
Maximum likelihood method, 最大似然法
& q4 b$ ], L2 MMean, 均数0 |0 ^9 ~; W. {+ A7 ?
Mean squares between groups, 组间均方
7 Y# f0 }; @' C: V2 YMean squares within group, 组内均方: G& r; H4 m. W' R" j
Means (Compare means), 均值-均值比较
4 }4 {: y' X: w" X+ lMedian, 中位数2 x7 i/ \0 F- `# _1 p$ e
Median effective dose, 半数效量3 M7 J- |! _' E( W0 g- p) G0 [
Median lethal dose, 半数致死量- \$ V P, Y/ S
Median polish, 中位数平滑
# R8 ~7 [$ @ b) ]& j& D* G( `$ a R/ FMedian test, 中位数检验
# p2 _7 u7 I, @% Y. e7 s/ t+ HMinimal sufficient statistic, 最小充分统计量' Z1 T0 j) v9 U# D! {5 l, X% G z
Minimum distance estimation, 最小距离估计, y; K% c" J9 Q N |1 b
Minimum effective dose, 最小有效量
( S1 @; z6 [0 u3 T9 UMinimum lethal dose, 最小致死量7 x7 f! T7 e0 @- k; i
Minimum variance estimator, 最小方差估计量
B; Z8 y1 |. _+ O8 XMINITAB, 统计软件包- m; J/ ^# I& O T* `
Minor heading, 宾词标目* V0 u7 R/ y1 u% _1 I9 a( U# a
Missing data, 缺失值1 W9 c9 X& d4 Z r2 H
Model specification, 模型的确定0 J: z! e) ~+ G
Modeling Statistics , 模型统计
; Z) P s) V* d# Z, C6 }: y5 m" @Models for outliers, 离群值模型6 O% K, V/ V* ~, O p
Modifying the model, 模型的修正& O% i5 i3 R' t0 q& Z* h4 D
Modulus of continuity, 连续性模" \, q: L6 d: v4 Z4 B1 r0 k
Morbidity, 发病率 G: [3 r4 P! H" X
Most favorable configuration, 最有利构形7 x, Y* N5 A# T1 g) B$ [6 `
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
- k- ?% t' w% Z' CMultinomial Logistic Regression , 多项逻辑斯蒂回归- A+ N2 A5 E8 i/ S. m x/ `
Multiple comparison, 多重比较' v2 R8 o; y! ^. T3 a
Multiple correlation , 复相关
6 ~. `$ e2 @1 |9 S/ [* B( EMultiple covariance, 多元协方差( C' Q, b x7 R9 j
Multiple linear regression, 多元线性回归
8 s( d% c7 }* F+ C3 YMultiple response , 多重选项* i- g1 O4 f2 a. f/ }. R
Multiple solutions, 多解3 l+ R0 z7 a0 S& ^
Multiplication theorem, 乘法定理% a$ Q, p: Z( d# l
Multiresponse, 多元响应, b; @' ]1 Z# F
Multi-stage sampling, 多阶段抽样
! Q, ~3 c7 t0 O) p: DMultivariate T distribution, 多元T分布' b# [6 Z5 o: [+ O( K" ]
Mutual exclusive, 互不相容! U; o9 a* }- M/ {( y1 d
Mutual independence, 互相独立, G8 P9 h( \* h6 l; O
Natural boundary, 自然边界" q0 ~! b* m$ S7 o& H8 {
Natural dead, 自然死亡
: [! h7 `0 ]3 {# I0 C5 kNatural zero, 自然零8 f" Q& R& x9 G$ l" m& H a5 P
Negative correlation, 负相关3 W; u( Y! U6 S. B0 t: F$ ~
Negative linear correlation, 负线性相关
2 s* I: n+ i' }0 M, DNegatively skewed, 负偏
7 L3 P* K _6 }/ X6 o1 fNewman-Keuls method, q检验) A: b/ ^& C, y# s5 D1 H4 n
NK method, q检验
* I, }( E. Z6 ~2 ?! aNo statistical significance, 无统计意义
8 k/ g- S* n3 l' M6 JNominal variable, 名义变量
3 z& Y2 O+ b* v: U# X5 K4 B+ UNonconstancy of variability, 变异的非定常性
0 R8 X$ [( D# O4 XNonlinear regression, 非线性相关- t- ]& [& h- H) n% Y0 p7 T
Nonparametric statistics, 非参数统计- r* M! j, P6 D1 I
Nonparametric test, 非参数检验8 I" p. R4 g& l
Nonparametric tests, 非参数检验' k& c3 l9 F* s
Normal deviate, 正态离差
$ T$ y1 t e" zNormal distribution, 正态分布: [: d" @5 E% F- }7 f' X7 H
Normal equation, 正规方程组
' m/ P* p6 m% a8 @Normal ranges, 正常范围$ V; i& D" N$ P
Normal value, 正常值1 F* z% m3 e/ @& ?- i& N
Nuisance parameter, 多余参数/讨厌参数
. [* z8 y7 R; g3 j) o5 ^, W! NNull hypothesis, 无效假设 1 Q C) [, L; V+ |. s3 s- l9 A
Numerical variable, 数值变量
0 _2 D4 b/ N7 ~5 @$ X6 XObjective function, 目标函数/ X% b" L$ ?3 w, e. }. h4 X
Observation unit, 观察单位5 k% _+ F0 V" P& h& I+ e1 O, ~# V
Observed value, 观察值2 V& c/ S; S4 Y! _
One sided test, 单侧检验
1 C7 I8 ]: O: J8 tOne-way analysis of variance, 单因素方差分析
) f1 u0 p8 w! A$ P' J/ pOneway ANOVA , 单因素方差分析& o2 d3 w( c+ H0 ^+ u
Open sequential trial, 开放型序贯设计1 U- K L l/ ?- _
Optrim, 优切尾" h$ q* [" T3 p. U
Optrim efficiency, 优切尾效率
" z2 C0 u" o. u: ]4 J$ OOrder statistics, 顺序统计量6 D# K7 [; s4 i
Ordered categories, 有序分类
6 D! F# }$ R6 h, w6 J3 T5 LOrdinal logistic regression , 序数逻辑斯蒂回归
+ g t% o9 P- T/ r8 kOrdinal variable, 有序变量
7 Y) V4 Y# I# J9 x$ N9 y. W. DOrthogonal basis, 正交基" a8 t$ F5 q: m9 p4 L: |4 Q
Orthogonal design, 正交试验设计
4 e1 j. K: y' R% r- KOrthogonality conditions, 正交条件0 S% ]0 w1 ]; ~# G- ]
ORTHOPLAN, 正交设计
) y- `! d5 N4 JOutlier cutoffs, 离群值截断点# ]! Y' v+ ^( k3 c
Outliers, 极端值9 ~/ j" D& n# y% S( w7 e
OVERALS , 多组变量的非线性正规相关
- W }# d" N) A: GOvershoot, 迭代过度% b' W$ ?$ q- a( f2 {4 C% Y
Paired design, 配对设计: `; N, i% I! b" n U
Paired sample, 配对样本9 t a% t7 A0 \
Pairwise slopes, 成对斜率7 M T8 S; t) `* D- @
Parabola, 抛物线
3 \3 j) S, I1 s8 J. h) I$ ~3 CParallel tests, 平行试验$ {- S! y2 z# g) q
Parameter, 参数
0 J' ~' S( q/ g) ^9 XParametric statistics, 参数统计' p( Y& p7 W; N, S: E& w4 ^
Parametric test, 参数检验
8 a2 r; X. x! h9 L3 g5 wPartial correlation, 偏相关% ^0 Z) h- y6 \6 p( ^9 |
Partial regression, 偏回归% A+ E4 `- _6 k8 n/ W) s, S( W
Partial sorting, 偏排序, D0 s8 b+ y8 l0 G
Partials residuals, 偏残差8 l5 _' q- |' y- y. }" W2 |
Pattern, 模式0 d5 F; l' x& M
Pearson curves, 皮尔逊曲线
. b! H0 [" V7 I% @7 ?Peeling, 退层
y2 \4 V' z& b+ TPercent bar graph, 百分条形图$ v* @8 y' C9 {4 h! H& U3 x
Percentage, 百分比
& J* J1 a; I" y; v/ z' bPercentile, 百分位数
. F% T! n# K% UPercentile curves, 百分位曲线
4 g7 f9 L7 Z! w5 Q5 d/ y. GPeriodicity, 周期性
3 j( v0 z6 N' d cPermutation, 排列
( Z3 M, M3 O+ ^6 PP-estimator, P估计量
) i _/ M$ T5 j* Y D& MPie graph, 饼图8 s* w0 {' `! {
Pitman estimator, 皮特曼估计量
8 q* q* F8 [5 U" l; vPivot, 枢轴量1 N b9 N; W+ c8 u6 i! D
Planar, 平坦
* V( J" Z$ Q' y2 M% C( JPlanar assumption, 平面的假设
- Q3 ]/ b8 x+ X0 ]$ ePLANCARDS, 生成试验的计划卡- ^; z4 {+ D+ w
Point estimation, 点估计8 |- m% M* f% r
Poisson distribution, 泊松分布3 c$ q \0 M4 j ]! ^/ V* G
Polishing, 平滑
' f1 l9 ^5 q' p3 d0 m P: wPolled standard deviation, 合并标准差
3 o5 V: F0 Z+ _/ ~Polled variance, 合并方差
! U ^' _+ s% u4 E% |2 ^Polygon, 多边图
2 l2 v& z& z/ h9 OPolynomial, 多项式! J6 o+ r: q1 X# x8 |: Y Q
Polynomial curve, 多项式曲线
8 L3 [0 L: c5 [' t# E. {. k$ OPopulation, 总体: \$ b% U! ?% ^: R9 `) y' ?
Population attributable risk, 人群归因危险度
# p/ R [5 k" l9 {Positive correlation, 正相关$ z& W( X @! Z, M P# `
Positively skewed, 正偏
: f6 _ R! Y+ _) F0 q& p1 R4 |Posterior distribution, 后验分布; _9 ?# h" C2 B A/ l6 H
Power of a test, 检验效能
* a3 U% B& y; ]6 K4 t% nPrecision, 精密度
% Y9 }0 W$ G2 u1 M( G6 DPredicted value, 预测值( c2 P" d" [* H5 X2 W% L8 s
Preliminary analysis, 预备性分析, a5 ^, g6 P; V* I6 b
Principal component analysis, 主成分分析& W4 S+ Y! D, u& c
Prior distribution, 先验分布. Z" J% t' Q5 ?. q7 J
Prior probability, 先验概率# g6 R' ]0 u: D$ g
Probabilistic model, 概率模型
F+ \- u2 h' I+ Wprobability, 概率4 p" `' y) B# D a
Probability density, 概率密度
( G. z. Q. T- @1 c. {; DProduct moment, 乘积矩/协方差0 n" C$ t o) D# A0 r+ [
Profile trace, 截面迹图4 E* W7 W: f1 R, k
Proportion, 比/构成比
% E1 ~$ m& ]" W% d6 M. _) EProportion allocation in stratified random sampling, 按比例分层随机抽样
3 L8 {3 B% n- K4 \+ OProportionate, 成比例/ s% ]; I$ _. z- }+ y. C
Proportionate sub-class numbers, 成比例次级组含量
- T' x" i8 M4 U4 Y( V4 [" zProspective study, 前瞻性调查
7 e! [& |; c' X/ tProximities, 亲近性
6 p% N/ f2 p7 o1 ePseudo F test, 近似F检验0 F* l6 x# W( P: y
Pseudo model, 近似模型
8 {+ y( b( h5 p! b# W3 ~) PPseudosigma, 伪标准差+ T/ w2 T. Y' P& k. @' P
Purposive sampling, 有目的抽样4 d: p( m, e V' H
QR decomposition, QR分解
/ F: P2 F; k" {+ M$ T N4 }3 q u" xQuadratic approximation, 二次近似
8 T' S, R# n4 B% i; Y3 R MQualitative classification, 属性分类
# L, ~- L6 M( H+ `+ WQualitative method, 定性方法
% x; Q) j/ \9 ], J4 h! C# K/ V2 QQuantile-quantile plot, 分位数-分位数图/Q-Q图
2 U5 n& }% j. H: F& PQuantitative analysis, 定量分析
+ @+ b* q$ G& C, O3 ^; VQuartile, 四分位数
9 p7 q# `$ k. L* H k- eQuick Cluster, 快速聚类5 l* B0 n4 W4 X2 @6 r1 U1 S* A
Radix sort, 基数排序
7 p# h. s8 w- b3 f3 MRandom allocation, 随机化分组$ C9 i+ g' u/ J3 x
Random blocks design, 随机区组设计; @! `7 B4 y6 J# i, @: e. |$ I
Random event, 随机事件
7 ~5 I+ p' Y) Q. S6 m/ ` WRandomization, 随机化- y" A6 m% p0 ^7 t0 t! ?- w) F+ n; V
Range, 极差/全距
9 O) i! y5 \) ^+ ?& r5 F tRank correlation, 等级相关
$ ^0 Q$ l3 j8 p8 s- a5 X; bRank sum test, 秩和检验
+ y' [2 l* ]6 ?9 eRank test, 秩检验
+ C) ~2 R. X/ v5 W1 ERanked data, 等级资料
, }: Q8 n; Z4 w# {& TRate, 比率& k& w1 m: s( T3 F8 P8 K) f
Ratio, 比例% ^6 L! c' m8 ]' E
Raw data, 原始资料% |; ?( d$ }4 S' g5 Q
Raw residual, 原始残差
& c- S* ]- x" ^+ j; P, }Rayleigh's test, 雷氏检验+ g9 D; l& C& E
Rayleigh's Z, 雷氏Z值 / ~" }; b. {4 G! n, Z, S0 P
Reciprocal, 倒数9 k) H9 d8 D. c) ^9 G& e
Reciprocal transformation, 倒数变换6 p' `1 f5 G* O( S
Recording, 记录, G, m! Z2 i; Q9 U% B
Redescending estimators, 回降估计量% F+ }. L6 ^9 \1 l
Reducing dimensions, 降维
, ^, x, E6 G9 Y$ g6 ZRe-expression, 重新表达% s! Q% Z- W- N3 T
Reference set, 标准组4 `9 k9 b1 K" @+ y: g3 m
Region of acceptance, 接受域
- ?7 j& D( O% b3 _9 RRegression coefficient, 回归系数
9 K( V! U5 g, G" g+ hRegression sum of square, 回归平方和
@( w% V8 k) L* W8 rRejection point, 拒绝点
* K2 ?* s: Q3 b4 U- h0 Z3 xRelative dispersion, 相对离散度7 O4 H" A' G1 E$ j8 T
Relative number, 相对数8 ^4 w3 \: k+ I
Reliability, 可靠性* b( u5 h! Y* ]3 W y
Reparametrization, 重新设置参数% Q5 I- ^/ R/ e
Replication, 重复8 f+ g' f6 l1 v4 s. x4 C
Report Summaries, 报告摘要9 [) Q" i' s/ w: S5 \* U( c6 s
Residual sum of square, 剩余平方和
( I0 m2 A8 t; I- x% }' W* XResistance, 耐抗性/ @: j; h4 ~2 }( C3 G
Resistant line, 耐抗线
' Q1 P4 [$ V* F7 k4 eResistant technique, 耐抗技术3 _$ a$ ?/ ~3 s5 O w$ D
R-estimator of location, 位置R估计量
0 O" L8 C" f/ i. x( pR-estimator of scale, 尺度R估计量
0 {) ?1 K' ], W& SRetrospective study, 回顾性调查8 b% ?) x5 X, N+ D
Ridge trace, 岭迹
& ~- X5 L2 ^ v7 k5 M8 [) n l, `Ridit analysis, Ridit分析
( Q. j1 `5 Q% j$ q3 kRotation, 旋转) x t! U2 U5 n) h/ _5 b2 R
Rounding, 舍入
% C3 f# @8 C% q8 g; F5 }# IRow, 行; l4 R" J X; g7 B
Row effects, 行效应9 {9 Q! J' T* s# W6 Y
Row factor, 行因素
* h3 c T" w9 LRXC table, RXC表
. ~8 E. ~( E, _& c$ LSample, 样本5 }( V7 f5 d7 h8 n3 Y( a
Sample regression coefficient, 样本回归系数
. U5 |0 }1 M" H) l5 g& {) f% dSample size, 样本量
! V9 r2 |" u+ S4 y1 rSample standard deviation, 样本标准差2 ^5 B* [; M" t+ b6 b* N, ~8 X
Sampling error, 抽样误差
! x& ~6 d s; \4 hSAS(Statistical analysis system ), SAS统计软件包6 c8 a, l b H( v6 q- u
Scale, 尺度/量表
3 k4 C4 H' i0 k5 p3 OScatter diagram, 散点图, I8 z2 o8 ^6 K/ Z; d% t
Schematic plot, 示意图/简图# J7 e) n. W: t
Score test, 计分检验
% W0 |5 l/ V3 _ ~0 f3 r; }Screening, 筛检3 K/ d9 U0 m; A3 J! t" O
SEASON, 季节分析 ! p3 _: H; C3 ?$ u* X( r, S3 K! t
Second derivative, 二阶导数
. h3 x. `/ i$ @: qSecond principal component, 第二主成分
7 i0 D$ L. G5 [: bSEM (Structural equation modeling), 结构化方程模型 " {+ [( P* |. h" N' ~' M; }# l& q! L
Semi-logarithmic graph, 半对数图7 l4 ^$ t) \, b* N) }9 Y
Semi-logarithmic paper, 半对数格纸
9 h# B/ F1 t$ {* ASensitivity curve, 敏感度曲线( F( k% Q3 R, R- ]7 H5 N
Sequential analysis, 贯序分析4 J( V! s' p8 C, A) Y. r
Sequential data set, 顺序数据集
% z" N% i7 @- d3 P N1 nSequential design, 贯序设计
1 Q6 X K0 z7 k$ O( y, nSequential method, 贯序法' s+ ~, w( i- z4 C- h% T8 w, v9 f
Sequential test, 贯序检验法1 [+ m; d. k+ ~2 F9 A6 `: s: F
Serial tests, 系列试验
9 w3 e Y" i. j* }3 z' I$ ~7 KShort-cut method, 简捷法
/ W1 C4 D/ }$ ASigmoid curve, S形曲线% F7 \9 j/ U- H1 P) T
Sign function, 正负号函数. [/ T* D+ b, e/ H9 u1 v6 X
Sign test, 符号检验
% I- T% b4 X, u" u/ `2 _Signed rank, 符号秩) ~1 U x$ n; F% P4 c Z; s
Significance test, 显著性检验
2 J: d8 T0 _! v: `1 m0 u6 ^Significant figure, 有效数字
; z. J+ R9 z! Q& @. _8 CSimple cluster sampling, 简单整群抽样: H) D: z5 A" G% _0 y: Z" L
Simple correlation, 简单相关
! y. y1 Y% r6 m) V1 ?! X5 @Simple random sampling, 简单随机抽样
. h/ @% A% H* ?* `2 VSimple regression, 简单回归
: B+ n7 ?. I: tsimple table, 简单表0 }' E0 Y( A' r" L# }
Sine estimator, 正弦估计量
" I2 W" Y) u: s2 @# F" @8 eSingle-valued estimate, 单值估计" M+ R( T5 a# ~ P* B
Singular matrix, 奇异矩阵
; r; g' z) f, K0 jSkewed distribution, 偏斜分布
! U* }; }+ y+ a# l7 _- E5 Q6 wSkewness, 偏度- U0 L% ]6 f/ i) ^
Slash distribution, 斜线分布- [5 U2 j# E j, w% ]
Slope, 斜率
" B! r. d+ Y8 R8 B! ~4 oSmirnov test, 斯米尔诺夫检验
; v( I; H A6 m, i' sSource of variation, 变异来源
7 n3 [5 r$ w: O) P; LSpearman rank correlation, 斯皮尔曼等级相关
( p# ~$ A+ G% C. aSpecific factor, 特殊因子
5 t: t+ m3 E0 P% SSpecific factor variance, 特殊因子方差1 N0 ]3 }( _& [5 e* A& u# N
Spectra , 频谱+ \! F- s& ]% ^- Q7 y, `0 U
Spherical distribution, 球型正态分布
! M1 c$ e- ~3 ZSpread, 展布* q: Y9 C* k1 j5 G
SPSS(Statistical package for the social science), SPSS统计软件包
2 W( C5 R4 f, g$ {& i6 lSpurious correlation, 假性相关$ ]% z( E0 C( z; S5 P! a, Q ]
Square root transformation, 平方根变换9 x' V4 g& M- c0 ?. F7 Y( E
Stabilizing variance, 稳定方差$ g2 m5 ?' i* t; |8 ]- E
Standard deviation, 标准差$ J/ [* v' k# t! O
Standard error, 标准误$ Y7 w5 ?- z5 m, K/ K
Standard error of difference, 差别的标准误
8 ^: [/ [) ~2 h+ U$ L6 MStandard error of estimate, 标准估计误差" J" c! M% X1 E' Q- i* s# d
Standard error of rate, 率的标准误1 T( E7 y* C5 i& E# `: D& A% j
Standard normal distribution, 标准正态分布% J# g1 W w2 w8 b$ C+ E
Standardization, 标准化* |6 T& }/ E) j/ K! i/ F& _4 c
Starting value, 起始值
7 K6 X' n# Q1 ^1 [Statistic, 统计量/ S i& P0 _7 R8 M. Z8 U, C- ?' \
Statistical control, 统计控制
% \$ z) h! d m+ B& UStatistical graph, 统计图
- r+ M4 l# R1 d! hStatistical inference, 统计推断0 r( l+ _/ V9 w: w9 V2 _
Statistical table, 统计表) B. ?( Z8 l* |/ y3 F
Steepest descent, 最速下降法9 t3 l/ K, i) Q3 s
Stem and leaf display, 茎叶图
, h3 j* z8 ?, C7 s6 A/ Q4 TStep factor, 步长因子+ m7 r9 G+ i) W% w7 j
Stepwise regression, 逐步回归( O2 l$ o- V! r% f
Storage, 存
/ J; n6 M7 j+ u: x( q( ?. yStrata, 层(复数)$ Q4 ~4 S, ~8 ~% C& w
Stratified sampling, 分层抽样
6 i% E4 d. a5 m1 EStratified sampling, 分层抽样
7 P. S- T7 Q. p" RStrength, 强度
5 z! M* [8 U2 ^- K0 j; `0 VStringency, 严密性2 w8 D& i9 s6 V. R( s' ~
Structural relationship, 结构关系
+ p& w7 ?7 V* m- Z4 W p" aStudentized residual, 学生化残差/t化残差& }! @( ]' h9 @$ y# U
Sub-class numbers, 次级组含量2 s+ _7 T5 l. ^/ Q$ D6 O2 H* [
Subdividing, 分割
& Z5 @* i$ o( c- cSufficient statistic, 充分统计量. B- P( c8 R; o4 z9 @
Sum of products, 积和
% _" L" ~5 H5 x% I; X& r- H/ k2 mSum of squares, 离差平方和' T6 g0 K! y6 |" \9 }) g4 }
Sum of squares about regression, 回归平方和& B! C! U3 {) d5 T. w
Sum of squares between groups, 组间平方和3 o2 |5 ]7 X- o9 n# @, a4 p
Sum of squares of partial regression, 偏回归平方和2 |( ~. A' t6 _' }
Sure event, 必然事件
% q4 y- w* F6 K7 j- p* OSurvey, 调查
: J8 v% ^; x4 L& J- j8 i, WSurvival, 生存分析* D. Z" P* z1 a- Q- a' h* A# N
Survival rate, 生存率
$ v0 A3 G7 L4 k1 `# S5 RSuspended root gram, 悬吊根图
4 |. J0 ^0 W+ j& o+ j* KSymmetry, 对称
) _" c0 S# Z; E6 B; \& S; \Systematic error, 系统误差, V3 H3 N3 ^7 C. @! @9 R
Systematic sampling, 系统抽样
$ }, n6 g9 y2 w5 nTags, 标签
, a, `& [" p+ [& H$ |Tail area, 尾部面积7 r3 C- p! S' f# K, l. v
Tail length, 尾长3 o. v- D2 Y- z( h0 I
Tail weight, 尾重
) W) j8 m B `4 eTangent line, 切线
" x' ~7 F2 T" D6 a6 M1 @Target distribution, 目标分布
/ O' T6 B! G& pTaylor series, 泰勒级数( l8 w: m: N! g1 I6 ~
Tendency of dispersion, 离散趋势/ X2 ~+ z/ n, a! g) w8 t
Testing of hypotheses, 假设检验' `$ N x2 Q( F5 y: A, K, L
Theoretical frequency, 理论频数2 `8 }2 t2 s2 }1 ^4 M0 O! Z
Time series, 时间序列
; |, e/ G l" e! F4 X& CTolerance interval, 容忍区间# m% q% D6 S- G) l
Tolerance lower limit, 容忍下限9 V2 U! N- L& C, A2 Z6 n# i
Tolerance upper limit, 容忍上限
& \; [% e+ l2 O4 t& A1 k% D4 xTorsion, 扰率" W$ @0 G( f% v! n1 z! w
Total sum of square, 总平方和- E) h& S7 h4 b( I# S
Total variation, 总变异
/ C% ~; @" A& b1 JTransformation, 转换
4 d& u8 F( z9 i: }& B( TTreatment, 处理) d! a% Y L4 E* Z! A1 n2 ?
Trend, 趋势; W0 E5 A2 U" i$ i3 j
Trend of percentage, 百分比趋势
/ q8 Z U( v# e5 e2 |- d% yTrial, 试验
A+ J( |" L1 {! P$ @2 i3 g% mTrial and error method, 试错法5 S' s7 ?3 G( y& n1 z0 h$ q' s
Tuning constant, 细调常数
7 D$ }2 F& H* O6 }) \ j. qTwo sided test, 双向检验
' T- @1 A: M( `6 u; VTwo-stage least squares, 二阶最小平方# Y$ M. S$ v3 r9 S) z
Two-stage sampling, 二阶段抽样/ Z. V* ~# n, Z: `# |' i& } M
Two-tailed test, 双侧检验: j9 y' T, X, J; U
Two-way analysis of variance, 双因素方差分析( D3 R/ Q l( W+ U
Two-way table, 双向表
5 w1 A, f# |( m) G( J. B0 W- Z* eType I error, 一类错误/α错误
9 }* O: c2 @0 b9 dType II error, 二类错误/β错误, @: O! R" y! n8 j+ y; X
UMVU, 方差一致最小无偏估计简称" ~+ G" N3 l: O0 ~* U
Unbiased estimate, 无偏估计6 e4 A/ w* V$ U4 \/ C
Unconstrained nonlinear regression , 无约束非线性回归
5 k$ s$ N# M& QUnequal subclass number, 不等次级组含量
9 y& e( o+ y6 U3 b% r. zUngrouped data, 不分组资料6 M A3 ?+ j6 Q; r1 e" ^
Uniform coordinate, 均匀坐标
$ U* p" m- r4 I1 E# i6 aUniform distribution, 均匀分布0 \: }) a1 Y/ \
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
2 D7 I9 z3 I' ^0 u7 Z9 s7 XUnit, 单元
/ H# R! P9 @& n# \$ l* zUnordered categories, 无序分类4 c% ]( w3 {/ z1 y
Upper limit, 上限2 X+ K! |/ {/ `: h, m$ e. w
Upward rank, 升秩, r7 a# q0 W1 R( t& C
Vague concept, 模糊概念 M5 z- P2 |# U I0 d
Validity, 有效性
% C$ N' | ^# X* EVARCOMP (Variance component estimation), 方差元素估计
6 l* U7 {. x+ K# m: h9 LVariability, 变异性. ^! G' l3 V$ x6 U5 H5 `" S8 @
Variable, 变量9 r- n* W, h8 G( @
Variance, 方差
. [$ b4 E% M$ w% ]Variation, 变异
# k" |- h" G0 m8 EVarimax orthogonal rotation, 方差最大正交旋转 G* y3 N% d ]; X+ _
Volume of distribution, 容积
, \3 z% U6 Q: b- S$ |/ k' q0 OW test, W检验* V3 C& I, D$ o% g# m% C H" `
Weibull distribution, 威布尔分布# _! H* k' H6 v5 @: y, r/ i0 X# y
Weight, 权数( s* K9 }' G! J
Weighted Chi-square test, 加权卡方检验/Cochran检验
+ L" N" F( o ?, \, pWeighted linear regression method, 加权直线回归! z% L4 I' C; e, f' ~( m, T
Weighted mean, 加权平均数+ S/ e% G$ @/ Y* [( R1 ]
Weighted mean square, 加权平均方差1 ]: g8 C4 e5 J$ ?
Weighted sum of square, 加权平方和
: R, T- V$ ^; c! wWeighting coefficient, 权重系数) e, c- L) b" w$ `* E
Weighting method, 加权法 $ K4 h/ C3 s b" @# `
W-estimation, W估计量
+ {. a5 O0 r2 s6 T! ]$ u! h5 E3 L( MW-estimation of location, 位置W估计量$ \ L, O9 y2 K
Width, 宽度( u `; j6 E* ^+ m! P. `
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
. W3 F' T1 F5 ?1 ^' L, I* r+ t6 BWild point, 野点/狂点9 @! v2 H; Y8 W" ?5 j, \( V9 B: I
Wild value, 野值/狂值
' ^" o; ~3 S( {1 E7 k' hWinsorized mean, 缩尾均值7 O6 t3 ]3 S6 b
Withdraw, 失访
& p: s. K" z" V" RYouden's index, 尤登指数' R- t4 p; z' h" v
Z test, Z检验
, U5 \- M, R0 X' B8 z/ c# F5 XZero correlation, 零相关' F1 V) F& N8 [5 d- W
Z-transformation, Z变换 |
本帖子中包含更多资源
您需要 登录 才可以下载或查看,没有账号?注册会员
x
|