|
|
Absolute deviation, 绝对离差$ n/ G6 u+ t2 c5 g# l# l4 l
Absolute number, 绝对数+ O" z- R& R1 O" t) }6 S
Absolute residuals, 绝对残差
2 S9 {- x' a5 \6 q7 o: p4 PAcceleration array, 加速度立体阵* U+ Y& x/ U) }# `
Acceleration in an arbitrary direction, 任意方向上的加速度5 [8 |8 V3 }, k. t- ~* V
Acceleration normal, 法向加速度3 _1 M& r7 V' e9 x8 R
Acceleration space dimension, 加速度空间的维数
6 ]8 P- {2 u2 {& Y+ t$ g0 ^Acceleration tangential, 切向加速度- g) V- W7 j4 ?/ a0 q5 K) v
Acceleration vector, 加速度向量
- o9 f+ f; L' L# T$ t7 HAcceptable hypothesis, 可接受假设; J% B4 V9 F- T& w& C$ O$ g
Accumulation, 累积
2 K/ l/ }$ K& j7 b& l% \/ dAccuracy, 准确度' [% b8 v" @* m) i2 B B
Actual frequency, 实际频数8 p( E7 Q. [% {- L
Adaptive estimator, 自适应估计量0 v% Y3 p1 K9 `( e# `
Addition, 相加
+ H- M% g; q: f8 qAddition theorem, 加法定理
* |+ P c& W" o5 L7 t: P' yAdditivity, 可加性
' M4 d( h( p- L& \Adjusted rate, 调整率
$ e# E8 _0 X& C, ?# Q U; S' ], BAdjusted value, 校正值1 ]% L" H n# _) V$ z+ O6 y. b
Admissible error, 容许误差
, S! L9 _3 W& F$ `, x6 D9 X: pAggregation, 聚集性4 C( e8 z/ K. h
Alternative hypothesis, 备择假设& h6 J9 S, t8 C4 I
Among groups, 组间
T" I$ Q2 M( U8 \& I6 mAmounts, 总量" z3 o/ x, a0 p! n
Analysis of correlation, 相关分析 N0 @* [) r& n3 `
Analysis of covariance, 协方差分析& X3 }! [# K( `6 ?& C& G
Analysis of regression, 回归分析
; L& A1 l; L" z$ F1 yAnalysis of time series, 时间序列分析
: O2 D+ Z5 g, j6 p% o! tAnalysis of variance, 方差分析
# x9 ?. s3 u' ]! I% S8 ^6 ]* }4 NAngular transformation, 角转换
) M$ E& l5 Q9 i" v5 @0 oANOVA （analysis of variance）, 方差分析7 F! {/ { n3 `$ {
ANOVA Models, 方差分析模型 B2 j# p/ f' m- o
Arcing, 弧/弧旋: G# `6 u* O/ `
Arcsine transformation, 反正弦变换
" l4 V/ Q' n7 J# CArea under the curve, 曲线面积
' `( n0 \, M: z+ C9 B! l) aAREG , 评估从一个时间点到下一个时间点回归相关时的误差
3 h# R) J L) W% r2 FARIMA, 季节和非季节性单变量模型的极大似然估计
' U& `9 n& b; U: L: bArithmetic grid paper, 算术格纸
- h0 d1 {1 q; c4 c5 l3 B0 c. `Arithmetic mean, 算术平均数% C- T* q/ ?( h; Z4 U0 y- E# ?
Arrhenius relation, 艾恩尼斯关系
# ^5 X' Z4 k: C0 eAssessing fit, 拟合的评估
( y2 w, A, Y, {- J( y: C9 a# h. sAssociative laws, 结合律! @7 h1 X$ P3 H# V$ y2 Z
Asymmetric distribution, 非对称分布9 ?2 B* v4 Z1 |! y1 i) f
Asymptotic bias, 渐近偏倚
" N. d. d3 U j% k }) RAsymptotic efficiency, 渐近效率
' ]0 Q8 V. i0 w" ?! eAsymptotic variance, 渐近方差/ b9 ?# I8 @" U, q, X: q
Attributable risk, 归因危险度
+ p U5 f/ V; EAttribute data, 属性资料& Q$ _7 f; j0 Q5 g% [) n
Attribution, 属性$ z9 g. b% ~9 J. y( s
Autocorrelation, 自相关4 L; y2 e8 H ?: _% z6 i* m
Autocorrelation of residuals, 残差的自相关& f$ W8 q7 i! w% d( G3 T. D
Average, 平均数4 k5 Y4 o O# J! P2 T/ _
Average confidence interval length, 平均置信区间长度
3 ]0 C$ D' B5 J9 R nAverage growth rate, 平均增长率
" m- R' i; d9 r; t$ S Z9 MBar chart, 条形图
8 m u! u& U' oBar graph, 条形图
& K% T6 G5 O+ c. xBase period, 基期/ d9 O4 T; Z6 o2 J; o' y/ D1 N
Bayes' theorem , Bayes定理
% p+ x- J" n( q/ L; XBell-shaped curve, 钟形曲线
, Z7 A& e9 X' k: h/ xBernoulli distribution, 伯努力分布! b5 Z$ O x% ]; r
Best-trim estimator, 最好切尾估计量
: t7 R R( H$ @2 W3 q0 y8 WBias, 偏性
; T7 A7 m. X. x3 L; PBinary logistic regression, 二元逻辑斯蒂回归/ P8 j6 Y* U: [
Binomial distribution, 二项分布
) ~( } Y0 O( @( t7 ^, O% IBisquare, 双平方
! O: D2 ]! E" ^& ?Bivariate Correlate, 二变量相关
+ V. f8 d4 F1 x0 g d# dBivariate normal distribution, 双变量正态分布' n4 D+ R- d- {9 b" g F
Bivariate normal population, 双变量正态总体0 G0 b1 i/ E+ q% n7 f
Biweight interval, 双权区间
2 I2 _7 R1 G* ~* J! A5 sBiweight M-estimator, 双权M估计量- R# F/ O% B+ [. a; m' @; H& e
Block, 区组/配伍组
. h/ \( q. R" lBMDP(Biomedical computer programs), BMDP统计软件包/ S6 g5 b8 {' E" d; V+ ~
Boxplots, 箱线图/箱尾图- C) E# d4 d. L* e1 Q8 t
Breakdown bound, 崩溃界/崩溃点
0 O; ~# W7 N: a& E* u% zCanonical correlation, 典型相关1 w; V, M5 K2 \/ v, W
Caption, 纵标目
5 u$ v g, _& XCase-control study, 病例对照研究. U4 g' T) b3 h: }2 D" d) F* y# j0 b3 v
Categorical variable, 分类变量
" G( Z3 H7 a+ XCatenary, 悬链线0 G! j Y/ x; F
Cauchy distribution, 柯西分布
/ y* `$ l4 l, g* PCause-and-effect relationship, 因果关系
$ Z" E6 J$ d* Y7 ?( }! t6 hCell, 单元6 o4 g$ z# | n# Y( u0 m7 V0 [
Censoring, 终检
$ C, e% z0 m% n: J9 P! zCenter of symmetry, 对称中心3 j2 J9 g- c& p/ j- [2 ]1 ?6 _
Centering and scaling, 中心化和定标+ N5 p/ v( E) `
Central tendency, 集中趋势
/ e4 b5 r; W7 dCentral value, 中心值' d/ T ]0 [" S, ]9 }
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
4 A) ]& R: I* x& n$ m- I, M' A5 AChance, 机遇$ Q; J7 n* |4 m; P( X Q" d
Chance error, 随机误差( P- A/ ~* i) k$ f3 R% s) b
Chance variable, 随机变量; L+ D2 ] ~ m
Characteristic equation, 特征方程
; K1 S4 o! d# q0 BCharacteristic root, 特征根) C9 Z' q/ ]4 E2 O2 D& O; k
Characteristic vector, 特征向量
$ M1 w* \ q1 n5 W+ C* X- U9 WChebshev criterion of fit, 拟合的切比雪夫准则
$ F. ^8 L! F9 WChernoff faces, 切尔诺夫脸谱图6 [3 a- ^0 V0 B# L- h0 ?/ M
Chi-square test, 卡方检验/χ2检验
% g4 V7 ~' e8 Y6 P+ m; J' P0 [# O1 u! WCholeskey decomposition, 乔洛斯基分解
/ [$ @2 z3 i( [- T3 B9 |, B* GCircle chart, 圆图 " h# a- w( O0 _* A
Class interval, 组距. O0 u5 r7 P" \$ S$ j/ s
Class mid-value, 组中值7 w) u6 ~% Z0 L, s+ |
Class upper limit, 组上限
) S* s9 r9 r0 k9 z4 vClassified variable, 分类变量
, \2 O3 }" G3 _3 U2 dCluster analysis, 聚类分析0 V3 x2 x# T$ n" C' M
Cluster sampling, 整群抽样( N6 o2 _1 z" M+ S
Code, 代码$ b, e# P* c- y! C
Coded data, 编码数据
: ^& x; H4 Q" e/ }- ~% wCoding, 编码8 |) r+ E; ]6 S# H
Coefficient of contingency, 列联系数# i( H9 E. Q- z2 u5 H$ m. P
Coefficient of determination, 决定系数: ^1 ?3 ]. B6 c, n% P( K
Coefficient of multiple correlation, 多重相关系数 n: w+ {& t k( Q
Coefficient of partial correlation, 偏相关系数
9 Y$ \% R" v a+ p7 G+ n/ bCoefficient of production-moment correlation, 积差相关系数' ] `. _% V7 r: d; b+ H0 ~
Coefficient of rank correlation, 等级相关系数# i. U3 g2 g: `: A: ~
Coefficient of regression, 回归系数
, r3 h. P0 v/ A6 g) Q% j. _Coefficient of skewness, 偏度系数
: m" A0 j9 N$ N) QCoefficient of variation, 变异系数$ i3 V- _ _ w
Cohort study, 队列研究' Z) D! t* S. C
Column, 列
1 E5 Y7 g4 r2 ]% Q9 _Column effect, 列效应' S- m: k0 z6 J- E% x6 ~- E) m; y
Column factor, 列因素' L+ l/ U& G* w, h8 T, S4 h1 ^
Combination pool, 合并- M- l9 R2 l5 m4 x" R6 P' x; s
Combinative table, 组合表9 z' ]* K: q$ Q& i u
Common factor, 共性因子
# _, \; c5 I/ S- gCommon regression coefficient, 公共回归系数
5 \4 P$ w$ @' a; Q* k# X" xCommon value, 共同值6 O6 I& B2 ~! K4 ~, h2 w
Common variance, 公共方差
" ~! S y, E% U8 U) \8 CCommon variation, 公共变异- i+ \, |' ^; ^3 c. P2 ~
Communality variance, 共性方差- G( K$ C9 @- u$ D* F: S0 W6 I+ D
Comparability, 可比性
+ H- R( a7 r2 UComparison of bathes, 批比较
! L$ @) p2 N |; m+ VComparison value, 比较值- e/ m) f M C4 u) O# V4 G
Compartment model, 分部模型8 W5 Q# M$ I$ e+ D& d) ]
Compassion, 伸缩
/ _. T2 k7 p3 oComplement of an event, 补事件
" ]3 k: K) b4 ?- F5 t! y* cComplete association, 完全正相关
x2 C2 ]8 m. u8 R" {2 D3 [Complete dissociation, 完全不相关
8 {$ c0 d0 M" d* A! m' ^Complete statistics, 完备统计量
3 ^/ m) B7 Z: b" WCompletely randomized design, 完全随机化设计
6 D8 s$ h) t, M4 @8 j! e. f1 FComposite event, 联合事件
5 Y/ C0 d$ R( x+ N- D* b$ S4 P3 fComposite events, 复合事件: g4 T! I9 B- H2 j3 H
Concavity, 凹性: l: C# |7 H. Y1 s0 u
Conditional expectation, 条件期望
2 t* W9 E& J2 n/ f8 FConditional likelihood, 条件似然
, J# R! T, ?! O& ~0 KConditional probability, 条件概率6 [# s* T! q# {% c: h+ c6 D; [6 t
Conditionally linear, 依条件线性- r- b& U$ ?$ M
Confidence interval, 置信区间 j) Q, ~, i- ]2 n8 x2 E: Y; D, P
Confidence limit, 置信限
0 ?0 d, u; {( A: ]% f0 _ S2 FConfidence lower limit, 置信下限
8 K- p6 } N" g' R: ~" L3 }Confidence upper limit, 置信上限
3 n* D8 m- t% u2 X0 Y9 ]7 ]& m' Z \Confirmatory Factor Analysis , 验证性因子分析
4 u6 E4 W9 L0 T! g9 SConfirmatory research, 证实性实验研究
# u9 r4 |& H1 JConfounding factor, 混杂因素. q! m9 Q# g7 L0 ]
Conjoint, 联合分析
" z* S3 u! x7 XConsistency, 相合性
# J+ a/ [( n& mConsistency check, 一致性检验 `2 T# _8 {2 ~$ V* S9 h
Consistent asymptotically normal estimate, 相合渐近正态估计
: W! }" m# P/ P JConsistent estimate, 相合估计
& S3 ~* x9 o- h, h! d& [: R- pConstrained nonlinear regression, 受约束非线性回归4 w" t& _8 ?) W7 I: J
Constraint, 约束9 L. H( d% h0 V$ ]
Contaminated distribution, 污染分布/ Q/ L+ q" a) P; D7 M b
Contaminated Gausssian, 污染高斯分布9 T6 _# J( H$ r8 }; g/ P& U" I9 \
Contaminated normal distribution, 污染正态分布7 |8 o2 h7 [, @: a1 R6 U: z
Contamination, 污染
3 h2 S1 X. [0 `9 v$ x( C: |! fContamination model, 污染模型
0 c8 C% c" w$ K) o% \ SContingency table, 列联表
! S u. E; u& QContour, 边界线
5 [! Z9 V& H( F D% ]$ ^Contribution rate, 贡献率
1 x$ x, U! P& D! X5 P( G/ j# lControl, 对照
1 x& j- V4 u) B+ S; }Controlled experiments, 对照实验* q3 ]: ?: T1 ?! V6 u9 L
Conventional depth, 常规深度
1 |" m9 V/ }$ P/ OConvolution, 卷积$ A1 N5 ^1 a/ f/ x
Corrected factor, 校正因子: `* N2 o& L0 e
Corrected mean, 校正均值
4 Y" L& m+ p, x5 hCorrection coefficient, 校正系数) C" W) M9 S; c# o
Correctness, 正确性" u4 v ]! J( B: Y: y
Correlation coefficient, 相关系数# Q' A4 I6 b+ m+ C; b' O* x2 @. a
Correlation index, 相关指数
/ k h& a: l2 t0 t9 x/ f7 G e" eCorrespondence, 对应6 l7 _- j- L: n& W2 i) y
Counting, 计数
( P* ^* C7 T) `' F1 TCounts, 计数/频数
7 ], t$ q/ n0 s) KCovariance, 协方差
Z6 A+ ~. C3 \; m) h* G, LCovariant, 共变
5 \' P6 r. Q9 ?* GCox Regression, Cox回归
( U5 S' |4 E$ O9 g W* x, _Criteria for fitting, 拟合准则
8 s' `- ~! w+ o3 p% _9 RCriteria of least squares, 最小二乘准则
9 M) t. s! D6 s" X6 u7 CCritical ratio, 临界比" s. s/ n) x6 P
Critical region, 拒绝域
q9 ?9 v. C" c5 [$ T/ ECritical value, 临界值
; C, l. p% H4 j9 Y% Z2 @1 U! \. ?" YCross-over design, 交叉设计
: L5 S7 t7 Q' q% Z7 |Cross-section analysis, 横断面分析+ f# j8 c8 a- q
Cross-section survey, 横断面调查, W. G" H4 ?# |+ ?3 T" R4 X
Crosstabs , 交叉表 S- v$ J( G' R) Y
Cross-tabulation table, 复合表* U0 p6 l1 I0 p6 I
Cube root, 立方根4 j8 j9 w0 [8 g+ K4 k( R
Cumulative distribution function, 分布函数
& l0 M- ]% b5 d& _: a5 fCumulative probability, 累计概率' Y; ^8 N. K$ ]3 o' f4 p
Curvature, 曲率/弯曲. c0 N8 x5 \# z
Curvature, 曲率
4 @6 E, a. A' z z$ M2 YCurve fit , 曲线拟和
0 d+ l% z1 ~ i* r/ oCurve fitting, 曲线拟合
9 ?; S; z( H3 @; O. ~Curvilinear regression, 曲线回归& q) r) C& e! ]* }$ ]) @# c! g
Curvilinear relation, 曲线关系
6 T9 U8 t9 X4 r: G$ b! ]- HCut-and-try method, 尝试法! p0 g+ s4 g6 |9 `% `3 I
Cycle, 周期
) ^! V) }6 R. M. O! D" I6 J/ `5 uCyclist, 周期性
: S/ u$ a8 T% |! ~, ]D test, D检验
0 ]4 ?- ^8 D6 EData acquisition, 资料收集
3 D, j- u" b) J' nData bank, 数据库' S2 f. f) Z) _. j. o% q2 G* E \
Data capacity, 数据容量
5 e. y! i6 w8 K; A& N$ aData deficiencies, 数据缺乏7 w. G# ?- i8 A
Data handling, 数据处理
7 c& c# d, y& r! Q" g( WData manipulation, 数据处理8 C k7 J3 s. Z4 B4 e6 m4 y- Y
Data processing, 数据处理' S. a( m& x+ f& P2 l U H
Data reduction, 数据缩减( m1 F3 m$ m0 ~, K* D/ W- o
Data set, 数据集
( M" ?9 N! C/ Z5 aData sources, 数据来源
& z+ t& m8 p ~9 KData transformation, 数据变换
$ S/ t0 ?3 |# Y7 B/ d) C, uData validity, 数据有效性" }- j* ]4 Z2 c" `! _( N9 Z
Data-in, 数据输入
' R4 e! _! [' IData-out, 数据输出
( T f) h/ C U( {1 C9 g/ tDead time, 停滞期9 g$ G* f( S8 t& b
Degree of freedom, 自由度
, {! n' ~, W) W/ YDegree of precision, 精密度
o6 C4 T7 s# n' x8 [Degree of reliability, 可靠性程度
% }% h3 w2 [3 O2 lDegression, 递减 ` w( C6 j$ C7 n$ Y5 t
Density function, 密度函数6 D, O& }6 K: i4 u. t5 \2 O, v$ v
Density of data points, 数据点的密度. G1 P% ?3 T) P) ?0 G; t( G
Dependent variable, 应变量/依变量/因变量
. d6 f/ U4 T9 X9 H* l- ^Dependent variable, 因变量
+ W2 z7 ~! D+ M2 K, jDepth, 深度& F: v8 Y+ C/ R6 Y
Derivative matrix, 导数矩阵# f0 \& X: G4 A% l- z4 n; S, g- a
Derivative-free methods, 无导数方法* E# D/ c* u) R7 ?$ j% L: ^. S
Design, 设计
* i# W$ B, a( j5 H @) p2 bDeterminacy, 确定性
- z5 w, c3 g% E1 ~- t+ {0 GDeterminant, 行列式
( X7 m6 Z( }1 R6 ?. m9 v* {6 ?Determinant, 决定因素
+ L. w. ]- {$ ZDeviation, 离差+ f% D' }* A. h6 c# f
Deviation from average, 离均差8 \' h; |, p( \1 v
Diagnostic plot, 诊断图. r" i' z- F2 O: x$ }. k7 I
Dichotomous variable, 二分变量3 ~6 {7 V7 t" x. I$ B
Differential equation, 微分方程
$ Y1 O0 i3 ?' m- M( ADirect standardization, 直接标准化法. l; V6 J c' y, d% g- C6 ^. p
Discrete variable, 离散型变量
# }+ Z7 v$ ^; Q N* rDISCRIMINANT, 判断 2 B4 |/ R+ x, B) \' K7 M
Discriminant analysis, 判别分析
3 ]: Q# y: E" g. Y3 o% g7 n& M3 wDiscriminant coefficient, 判别系数
$ e# m: r x% H. d4 e) cDiscriminant function, 判别值
7 r N" S8 K# h9 `1 M. }( j& X& p% \Dispersion, 散布/分散度 R- G; _' K, L' L
Disproportional, 不成比例的
8 z: A4 m2 Q2 y/ [# IDisproportionate sub-class numbers, 不成比例次级组含量8 U) _ K3 p* t, O( L- W* V
Distribution free, 分布无关性/免分布
[, Q" Z# x- c& n3 E0 HDistribution shape, 分布形状: p2 H! @% w! E: B5 B9 _
Distribution-free method, 任意分布法
; f. |' W- [1 I5 x1 mDistributive laws, 分配律
- G" n* i7 o$ |- x. T1 e. d6 p: n' EDisturbance, 随机扰动项- J6 v- g" D4 W
Dose response curve, 剂量反应曲线8 n1 F F' k& |0 l* z
Double blind method, 双盲法
( ~0 p* L& D6 O# Y+ S$ QDouble blind trial, 双盲试验: U6 K4 V4 @+ s6 s; X8 W" n" ?
Double exponential distribution, 双指数分布7 R5 O1 E5 _, `" F7 M
Double logarithmic, 双对数
3 s5 f. H' ~9 SDownward rank, 降秩
' o$ S3 I" R% n/ `Dual-space plot, 对偶空间图
' a) Y8 A) [# o! c; D. fDUD, 无导数方法
8 S9 _* ?, X4 E% ?8 h gDuncan's new multiple range method, 新复极差法/Duncan新法
$ L" u1 f; w2 \0 ]5 sEffect, 实验效应, t, I. n1 ?7 B' {- i
Eigenvalue, 特征值' `% V% H2 g7 l1 r
Eigenvector, 特征向量
( j7 }4 N: m, H; o. x8 hEllipse, 椭圆
- w4 q( r/ c0 w" F eEmpirical distribution, 经验分布 i0 R" z6 g" p) H3 b4 I
Empirical probability, 经验概率单位 _4 f- y9 x/ k! }6 \ p
Enumeration data, 计数资料7 z% ]% `* C P# T
Equal sun-class number, 相等次级组含量
9 u& x; g* e8 x9 X5 d- HEqually likely, 等可能
" P9 F+ X t; A2 R" {' ^Equivariance, 同变性7 v* Z ], G" @1 J, {
Error, 误差/错误
3 U" F9 B t' gError of estimate, 估计误差
% E* a# v7 W* @/ XError type I, 第一类错误
, \6 ^$ ]" q t5 R. }. c7 cError type II, 第二类错误
' S# g3 c3 [! z; ]4 A$ J; qEstimand, 被估量
$ s; c) P, L: N' U- h/ B0 HEstimated error mean squares, 估计误差均方
2 ?$ N8 G9 r/ N# n4 R* f3 @% eEstimated error sum of squares, 估计误差平方和
8 n+ L, Z" ~& c& Q) @Euclidean distance, 欧式距离
5 K0 F" r. q% G& w; EEvent, 事件
! x. d! k5 G0 Y- gEvent, 事件
" Y2 o4 B0 ]9 }7 }- wExceptional data point, 异常数据点# T5 g5 d' D9 ^
Expectation plane, 期望平面
0 U) w" V5 ~' E u; F+ M9 ~( ZExpectation surface, 期望曲面0 ^- h+ o6 ?( t* s' o5 \2 Z
Expected values, 期望值; w& b8 i% k6 Y4 Y0 A( ^
Experiment, 实验% S0 Q7 s' L, X* ?# P% Q
Experimental sampling, 试验抽样. J" k3 ~! y8 g* a* H7 H
Experimental unit, 试验单位9 ]+ S( P" h9 Q1 i9 g, x
Explanatory variable, 说明变量
2 a; O4 e) Y+ O5 w6 y7 {& ~Exploratory data analysis, 探索性数据分析' M/ S) Z/ s5 Q, k, d( r
Explore Summarize, 探索-摘要; _, [ U2 f+ A$ x- v3 Q9 w# e4 H/ m; I
Exponential curve, 指数曲线
1 |% M7 `/ D# L* M) H1 C. {0 ^; Z- BExponential growth, 指数式增长
) b( J% c' T& dEXSMOOTH, 指数平滑方法 " K* I( b; d1 e
Extended fit, 扩充拟合
+ T5 [8 B" O- T2 H- `* a) NExtra parameter, 附加参数
1 H7 I) o4 R; P. |$ MExtrapolation, 外推法# s9 y+ X8 t9 j! k6 E! U ~, l: i9 P
Extreme observation, 末端观测值+ s! ?3 J- W( p R% f4 n
Extremes, 极端值/极值
& l a) W, h) TF distribution, F分布, f N i1 r1 h# r+ | a
F test, F检验' N/ B) |+ a6 M) w# s' h
Factor, 因素/因子
& {1 t3 A5 h4 z/ MFactor analysis, 因子分析$ r m% W" e. a9 V9 L: L
Factor Analysis, 因子分析9 S5 @. o/ ^& D; q; J/ n
Factor score, 因子得分 ; ^+ A g9 p6 b6 ^4 F
Factorial, 阶乘
: p# ~/ f& b7 M7 o( m' z2 U4 gFactorial design, 析因试验设计
I4 |+ g- _0 s1 uFalse negative, 假阴性
, Z, ]" }3 l1 G7 Y4 V/ Z6 ]: UFalse negative error, 假阴性错误. ]$ c0 N/ E3 U" q7 q
Family of distributions, 分布族. i/ j% X0 q+ x
Family of estimators, 估计量族
! S, s) W4 b( p$ [. |( k4 {Fanning, 扇面
) k' E& l9 W' L' s% ]" M( ZFatality rate, 病死率
& B4 g, `3 ]+ |+ c" }/ f6 l# @Field investigation, 现场调查
; B- n% X5 T- LField survey, 现场调查/ e# w; j6 d- B% ^
Finite population, 有限总体( k/ E$ a0 N" p/ G4 J" H: N9 [
Finite-sample, 有限样本4 J! s3 G/ V: H% z: ]% W* ~
First derivative, 一阶导数2 N @+ ^0 @3 {) g$ @6 v5 D% R3 Z: A5 Z
First principal component, 第一主成分+ d1 _3 W, S! V$ s# d
First quartile, 第一四分位数! g2 _8 A8 y& b: y* |) u% S
Fisher information, 费雪信息量8 s3 E) r7 v" d3 D4 Z/ V
Fitted value, 拟合值
! V* t% l+ J A( q; MFitting a curve, 曲线拟合% `& i4 B' {$ [# S& v/ r
Fixed base, 定基
: ^0 A$ S K/ eFluctuation, 随机起伏
@2 U" Y$ w: x' bForecast, 预测
5 Z7 Z+ |6 b9 N1 w' b$ _2 N! |Four fold table, 四格表
3 [" Q& y; ? `6 x7 z/ ]' rFourth, 四分点
; B; P' x- T0 ^5 p/ Q0 \Fraction blow, 左侧比率
( h* M k1 i* \ {; R" BFractional error, 相对误差
3 g8 ?6 Q7 R+ H; s+ t: F6 lFrequency, 频率
4 x( y5 }; F; v3 M9 tFrequency polygon, 频数多边图0 v4 u0 i2 h+ {' ] b3 a, T4 a
Frontier point, 界限点6 g5 `) m" D9 o+ L" ^
Function relationship, 泛函关系& k u2 y5 d2 l$ d3 p ^# g
Gamma distribution, 伽玛分布
8 `' R( h9 b% vGauss increment, 高斯增量! I+ O b( V4 F
Gaussian distribution, 高斯分布/正态分布
; p) i1 l# T$ Y8 NGauss-Newton increment, 高斯-牛顿增量
. G& ^: H/ L) ]1 a0 @8 qGeneral census, 全面普查
' D. N! |: X, ?' x! TGENLOG (Generalized liner models), 广义线性模型 % \4 [2 M" N" l! `6 a
Geometric mean, 几何平均数
, Y% g3 C; h# W: X# m' r0 h( H) @Gini's mean difference, 基尼均差0 L6 P7 r' v# ?1 |' G9 x( Z
GLM (General liner models), 一般线性模型 1 l" M5 n/ V& F7 L, S i7 u8 y
Goodness of fit, 拟和优度/配合度7 W, |7 W; n6 n
Gradient of determinant, 行列式的梯度
8 x$ C7 o; p5 t- aGraeco-Latin square, 希腊拉丁方 H, v2 w3 q* l7 f: P
Grand mean, 总均值
8 K6 Y; r* @! _6 M$ EGross errors, 重大错误' V8 \$ Z9 n/ U, G) X, J t' S% E
Gross-error sensitivity, 大错敏感度8 [ m c* g+ W; c8 p7 V% b, ?3 K5 Q
Group averages, 分组平均. o; ]7 D* P( o! y$ G/ e% u! E* Z
Grouped data, 分组资料' E; d3 ^3 u0 W/ I3 {
Guessed mean, 假定平均数
; j" J, S, ~( C, G& }Half-life, 半衰期
; f5 m3 G: t, E6 }- ~# {Hampel M-estimators, 汉佩尔M估计量" M6 B6 J: [2 Y) E0 N- }3 p
Happenstance, 偶然事件! I- V6 ?' P' N9 a! D( v
Harmonic mean, 调和均数
" C2 g& d8 k) [; g zHazard function, 风险均数
: b* j3 }$ K; Z* ?" [9 L: ?Hazard rate, 风险率( p* j- j. x7 a- A
Heading, 标目 * i, ]/ [5 |( O8 P9 O# o
Heavy-tailed distribution, 重尾分布" m3 u$ k5 Q U% s
Hessian array, 海森立体阵
6 _4 l$ V. N$ F& N ^Heterogeneity, 不同质! [& X" x6 A7 m9 `/ y
Heterogeneity of variance, 方差不齐
6 Z* ]2 f) _' Q) a& iHierarchical classification, 组内分组
( n& V2 [* c: R/ U5 gHierarchical clustering method, 系统聚类法( J6 w# B( T! \+ z" ?
High-leverage point, 高杠杆率点
, F5 G0 K5 t8 a- t) THILOGLINEAR, 多维列联表的层次对数线性模型4 @$ }4 ~0 B/ m- T$ v
Hinge, 折叶点
4 S3 T; }0 o) S' |/ t5 yHistogram, 直方图
+ r' j& E3 r% kHistorical cohort study, 历史性队列研究
, \6 e) ]& _/ v" x( cHoles, 空洞( C% |! w9 |( W
HOMALS, 多重响应分析
4 d4 P, z( M! ~9 |8 dHomogeneity of variance, 方差齐性
% p6 {6 S: b* [ ^0 ]Homogeneity test, 齐性检验
1 L+ m' y: H" q6 ]Huber M-estimators, 休伯M估计量
( D2 L9 ]. a8 s. \: PHyperbola, 双曲线; x' C3 z# a) S, _: K& s$ h: G
Hypothesis testing, 假设检验
3 f) |) P- X- H! z6 q% I! `Hypothetical universe, 假设总体* o' F+ P' A5 R6 Q& E2 N
Impossible event, 不可能事件# e! w$ Z: y/ a; M) K
Independence, 独立性
) d- P; ^" n" T4 j! I# KIndependent variable, 自变量% ]9 ^# @- p }( j* o' C
Index, 指标/指数
& A$ f* d$ L' o0 ]Indirect standardization, 间接标准化法3 T+ G; w6 y1 g1 y! D T; I; ]
Individual, 个体4 R# }( Z2 K9 z& c
Inference band, 推断带
5 x& _+ ^) ^9 u% ]% r6 Y8 s; R. qInfinite population, 无限总体
+ u$ A+ `) n6 e* k A eInfinitely great, 无穷大2 j( y* x6 s4 S$ w# C
Infinitely small, 无穷小
: z; U+ n" U# f1 J: r' T& `4 j CInfluence curve, 影响曲线. e3 b. H1 L) Z* j0 ~" I _
Information capacity, 信息容量
' t& {* s: ~8 oInitial condition, 初始条件
* ?2 s) A9 @* E/ @, V% [Initial estimate, 初始估计值, J3 Z* A4 P5 e4 C
Initial level, 最初水平
# O0 A; i4 \* t4 S* kInteraction, 交互作用9 I1 w6 G, @4 o
Interaction terms, 交互作用项) ^9 C9 u# I2 @8 Q8 Z
Intercept, 截距
* s5 p0 W( P( x& _; {Interpolation, 内插法* H- e! [ @' ?$ @
Interquartile range, 四分位距
& u$ i" ^9 V o/ N5 }Interval estimation, 区间估计
: W/ \( x9 O. p5 f. d( M# \Intervals of equal probability, 等概率区间
) b$ B g/ d( H, L* R* \Intrinsic curvature, 固有曲率1 [4 k& W4 ]7 F2 G) q+ K
Invariance, 不变性& i6 v! B. R% n( I
Inverse matrix, 逆矩阵
/ t# {# v& m% B ?+ o' PInverse probability, 逆概率, d9 |! @+ {# }9 ~" }" K0 ?
Inverse sine transformation, 反正弦变换3 W1 H2 }# K! E2 ?& \2 e2 T1 F
Iteration, 迭代
5 H4 W/ C; B0 D/ z) z+ @- H! j' N. \/ w1 rJacobian determinant, 雅可比行列式) j) g, e1 N# q8 c
Joint distribution function, 分布函数+ y1 q; ^* h( K, g3 v/ M% D1 s
Joint probability, 联合概率
. ]. X5 e: h' P( X9 LJoint probability distribution, 联合概率分布
, e+ m; v. E) @; e; HK means method, 逐步聚类法
& e" s0 T; C" _- eKaplan-Meier, 评估事件的时间长度 / g& w X# C8 M( ]( S3 R+ d/ ~3 S
Kaplan-Merier chart, Kaplan-Merier图; U# N5 x3 u) e* T
Kendall's rank correlation, Kendall等级相关9 C A( ]( _- I! |7 d. `
Kinetic, 动力学7 M, w* r4 q- N; Y
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
# X# z, D3 F3 C& ]% K7 yKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
8 b: }% |. V7 m- d+ WKurtosis, 峰度
* i7 @7 f; L2 Z! W, LLack of fit, 失拟4 j) g2 I: ~- Y! m. P
Ladder of powers, 幂阶梯
8 B; Y9 J: H8 _4 b( y+ l0 Y4 jLag, 滞后, k( P* v- x# \( M3 p/ y$ C. z, R
Large sample, 大样本! |; p! G8 Z3 m: P+ e2 t: R1 ?
Large sample test, 大样本检验
" d* L0 ^( G/ w# [ C$ qLatin square, 拉丁方
1 k# E5 n9 z/ cLatin square design, 拉丁方设计
! g: J' f! r. Q/ G% K; W9 z; ELeakage, 泄漏
( ^/ e6 E; `* p2 M% ], A; Q! |Least favorable configuration, 最不利构形
6 ]% m6 S9 I8 A& b& ]Least favorable distribution, 最不利分布& T2 K, s+ X8 u5 K5 b
Least significant difference, 最小显著差法
; P; S8 S9 Y' @. m( B1 wLeast square method, 最小二乘法
* `( d! }' S/ X) t) P8 C, ^6 b$ T8 dLeast-absolute-residuals estimates, 最小绝对残差估计. x( l& x+ g# B2 F: `4 b
Least-absolute-residuals fit, 最小绝对残差拟合
5 i2 m: h7 p" b8 q; S6 SLeast-absolute-residuals line, 最小绝对残差线
' r$ f/ g0 f1 g5 s2 b$ MLegend, 图例* X H: c" O8 {4 N$ f: _8 O
L-estimator, L估计量
# |8 M5 x3 ?; j6 JL-estimator of location, 位置L估计量
& t# V; ^/ y3 I) X2 l' G, E0 V; [L-estimator of scale, 尺度L估计量0 N+ ~+ K% ~. a
Level, 水平) o' G: q U9 P2 [9 T, |
Life expectance, 预期期望寿命
; }& u8 w2 `8 v. ^; c( GLife table, 寿命表
3 J5 R% X. `( C6 P/ d: @: N( u1 ILife table method, 生命表法
% Z. `/ G4 |' ~% iLight-tailed distribution, 轻尾分布
2 k1 L( O p7 @) T0 V3 y; RLikelihood function, 似然函数( O9 H& w, a- V. B& L
Likelihood ratio, 似然比$ _' `; i' C7 i5 `$ r
line graph, 线图
# K8 w5 t! N6 X' ELinear correlation, 直线相关# r) W- t) [( o: S' V. @' B
Linear equation, 线性方程
: l( O' T+ t- R& T" S: Z+ L( gLinear programming, 线性规划
! s. Z, D' f) p: V/ N7 o# wLinear regression, 直线回归
& D, ~8 e0 f8 S. cLinear Regression, 线性回归
' p m( W: t7 b: vLinear trend, 线性趋势" f5 [: O) ~+ H+ C
Loading, 载荷
5 O- v" _2 S) D* c& b" a6 [, v- QLocation and scale equivariance, 位置尺度同变性
; V! n' P; r8 y3 e+ `Location equivariance, 位置同变性3 d7 c# S1 b+ X3 f
Location invariance, 位置不变性
9 u1 j) K) l; s2 I4 wLocation scale family, 位置尺度族5 A; n% ~( m9 k3 F! X9 u/ E# O3 e# ^
Log rank test, 时序检验 $ P$ M0 F$ m2 P
Logarithmic curve, 对数曲线
! I4 n" C7 M0 Q3 A, ?: lLogarithmic normal distribution, 对数正态分布
4 T( v: G! H3 i! i4 ALogarithmic scale, 对数尺度
2 x, n2 B) J2 ^# j* m [Logarithmic transformation, 对数变换7 v* M! k! P, V6 v2 q( V" O
Logic check, 逻辑检查* `9 I4 N9 X% H; j+ M' i4 v
Logistic distribution, 逻辑斯特分布
0 c7 H2 a* \4 F' {Logit transformation, Logit转换 }4 U+ F6 y% H' R1 ]: s8 t
LOGLINEAR, 多维列联表通用模型
/ R* V7 g) o/ VLognormal distribution, 对数正态分布" c+ v) J7 |6 R/ Q% a9 T C/ I
Lost function, 损失函数
3 F+ I2 [7 I4 @: aLow correlation, 低度相关. V4 d0 A! t8 Z: p7 w- y# e
Lower limit, 下限
. }" y4 q4 t% l8 }6 QLowest-attained variance, 最小可达方差5 g2 A& F5 O# G& N0 B. z
LSD, 最小显著差法的简称. G6 ]2 y% @( @$ \4 E" V* F7 |
Lurking variable, 潜在变量
' X) n/ i. C$ S# x- E0 [Main effect, 主效应4 }: |7 S* w. Q
Major heading, 主辞标目- `9 E2 N$ r0 L w: Z2 o- t* P
Marginal density function, 边缘密度函数
0 p8 @* ?$ y& FMarginal probability, 边缘概率, N+ z& w( I) K3 r1 {$ N
Marginal probability distribution, 边缘概率分布1 ]5 J* `7 v( |( G" w7 w7 _
Matched data, 配对资料2 v3 H. I3 f( G1 o0 k) P) \; r) O
Matched distribution, 匹配过分布. \# L! P3 g( u: H2 U7 D
Matching of distribution, 分布的匹配: N' t. i9 P D! j; G$ U
Matching of transformation, 变换的匹配
; y) s! |3 K% ^ PMathematical expectation, 数学期望+ M, @' l+ p' ^1 C
Mathematical model, 数学模型
P- x: F+ V$ b( X& SMaximum L-estimator, 极大极小L 估计量% ~1 A' f8 j$ ^' G
Maximum likelihood method, 最大似然法# j* l5 I# h7 D
Mean, 均数
0 o/ b6 y2 ~7 C0 |3 K; k- k2 s+ lMean squares between groups, 组间均方8 N, x- `' \3 W6 l" Q$ ]
Mean squares within group, 组内均方3 n1 C8 i) w( [( t0 N
Means (Compare means), 均值-均值比较
2 }' [: {6 Q& P# H. rMedian, 中位数
8 }' E) ^# X! j5 ]! `Median effective dose, 半数效量
) U& \# u6 q' y& KMedian lethal dose, 半数致死量
0 \: `# Q) Z: z9 s4 WMedian polish, 中位数平滑4 k& l& r$ {2 K" ?
Median test, 中位数检验+ U' s" L8 E! [2 E" x j( v, X
Minimal sufficient statistic, 最小充分统计量
; r7 K1 Z9 c& Y' x) ]( k/ XMinimum distance estimation, 最小距离估计
( c" ?4 j, l1 I( [# MMinimum effective dose, 最小有效量' q* K) ?, o7 w# {3 d0 y! d8 M) V
Minimum lethal dose, 最小致死量
& m2 r9 u9 ^% j bMinimum variance estimator, 最小方差估计量
( Q% k+ U+ F. ]- ^( d2 n% ]. x2 aMINITAB, 统计软件包# w) {/ g$ [% L- X: j! s, |4 H
Minor heading, 宾词标目6 e) O q! S: S) ?9 Q
Missing data, 缺失值1 d) {0 Y F" |! a0 G/ q3 G/ i7 d
Model specification, 模型的确定0 o+ p! A, z1 O/ W+ n3 m# a
Modeling Statistics , 模型统计
1 d1 t8 j" R/ q0 L, m, {0 n, XModels for outliers, 离群值模型
+ s W3 k! }0 X$ W+ K5 s4 sModifying the model, 模型的修正, ^5 V3 F+ e M; x' l
Modulus of continuity, 连续性模. {/ _2 \& _4 V1 m5 \; S
Morbidity, 发病率 7 s. I E. s+ o1 B
Most favorable configuration, 最有利构形3 F- P, o4 I' M
Multidimensional Scaling (ASCAL), 多维尺度/多维标度* |2 Y' a1 L4 z# q
Multinomial Logistic Regression , 多项逻辑斯蒂回归
. d3 e6 q. S8 s( t* f- fMultiple comparison, 多重比较. S" _; M& c6 ?$ N, s
Multiple correlation , 复相关9 [' z `1 G2 g+ E @
Multiple covariance, 多元协方差
5 Z7 r; b* b X7 PMultiple linear regression, 多元线性回归" @' L' B6 H! i2 _5 a5 s/ X# ~, ^
Multiple response , 多重选项0 j9 A& W) m. e6 m
Multiple solutions, 多解
- a8 s* m4 W2 F3 K6 I- qMultiplication theorem, 乘法定理
: [% E6 n' S" O4 ~: j" t2 |Multiresponse, 多元响应
. j( k- t& K" [. rMulti-stage sampling, 多阶段抽样: G# f I$ o" l- n2 V
Multivariate T distribution, 多元T分布
/ w4 C$ Z/ c( p" GMutual exclusive, 互不相容
) q) `1 a1 v9 h! H& w) gMutual independence, 互相独立
/ D( W' V, Q! |4 B& B% pNatural boundary, 自然边界
+ e! [) D) S; t$ C& u$ PNatural dead, 自然死亡
0 y* k( G- L# V8 uNatural zero, 自然零
0 }2 v+ O6 T/ P- aNegative correlation, 负相关
/ E7 l( T2 I0 B. H. l2 mNegative linear correlation, 负线性相关 a1 {. g$ n; i" n+ F
Negatively skewed, 负偏
* n1 @. N# r: c. K5 g3 b: zNewman-Keuls method, q检验
8 D6 t+ ^7 V) n. L* I& ?NK method, q检验( p2 x; K- v3 T. M( Y
No statistical significance, 无统计意义
F8 ?/ |6 B* M/ {Nominal variable, 名义变量
5 w2 V1 r; R/ i! W% ]Nonconstancy of variability, 变异的非定常性' L: e) R ]+ C& z4 W
Nonlinear regression, 非线性相关
( }2 Z1 T; r; V' `- XNonparametric statistics, 非参数统计6 { H; q; N* L) D! \+ m
Nonparametric test, 非参数检验( j. [3 k" L; n3 ^% y+ }6 K
Nonparametric tests, 非参数检验
" B8 S% z7 n7 a( J2 ENormal deviate, 正态离差
: a. u) l8 ~# c: ^) x2 ONormal distribution, 正态分布
7 r& D2 x9 o/ s% DNormal equation, 正规方程组
/ t# A, H) S4 n6 }1 {+ NNormal ranges, 正常范围/ O& [+ q5 y% I' [
Normal value, 正常值0 a8 k# t& _# B, K+ U+ {( t0 U
Nuisance parameter, 多余参数/讨厌参数
6 d" s& Y/ u8 D! K" c' N+ j2 \Null hypothesis, 无效假设 * c' g6 g8 E S1 s6 `% n
Numerical variable, 数值变量
. \" Z9 I1 I' N, @Objective function, 目标函数& F+ o0 j3 f: s
Observation unit, 观察单位3 B- t% N; X+ s' m- |. i
Observed value, 观察值4 V! C7 ?/ l. \8 s" {
One sided test, 单侧检验 A. w7 {% E- d3 H8 {% [% i$ H
One-way analysis of variance, 单因素方差分析" C: Q# i1 ~% ]$ o- D. U4 }5 f
Oneway ANOVA , 单因素方差分析2 o `; p( O2 N6 n
Open sequential trial, 开放型序贯设计
) M0 n6 e8 N, g2 E- ?/ YOptrim, 优切尾
3 ~- J6 ^3 u( H: H- w5 I/ S" h7 |Optrim efficiency, 优切尾效率. _. x, e4 @$ {7 q
Order statistics, 顺序统计量
; j0 q6 c( W& }4 p" ^Ordered categories, 有序分类; h Y" v9 ?6 u# E
Ordinal logistic regression , 序数逻辑斯蒂回归8 g$ _) m! m" J: g& x6 y
Ordinal variable, 有序变量0 q# s" W4 s- q1 r& \. y& E; ]
Orthogonal basis, 正交基
& U5 l, r$ [" n- pOrthogonal design, 正交试验设计- `7 Q2 h0 `6 Y% y% L ^% e
Orthogonality conditions, 正交条件' N6 ~1 M" c' T1 _- B2 I
ORTHOPLAN, 正交设计 9 p' l+ N8 b) d( _1 r& y9 A+ |
Outlier cutoffs, 离群值截断点
& q' Y: g. s3 H; V, y X- }Outliers, 极端值
# A2 A8 z. ~" @5 q; Y# T# y6 HOVERALS , 多组变量的非线性正规相关
?# V% s* Z8 B3 j2 U5 IOvershoot, 迭代过度
) m3 H0 M% ? y% X; R9 r/ NPaired design, 配对设计
- i; C; A) E9 Z2 }7 b) EPaired sample, 配对样本
% s8 v* f$ A% y: z5 U7 LPairwise slopes, 成对斜率9 _( x) ?2 L: u
Parabola, 抛物线) t( H4 f- r( ` {
Parallel tests, 平行试验
$ r/ B0 A+ D; z: H4 N( ZParameter, 参数/ f. r8 J ]7 o0 R$ A
Parametric statistics, 参数统计( Q0 P4 s; X$ A( s, m1 [0 p( ?
Parametric test, 参数检验
* R/ t) m m: S3 D1 ]/ y2 J, q ?( LPartial correlation, 偏相关
5 A5 n! ^4 Z6 V6 C* I |Partial regression, 偏回归
' u! F8 R( A. u$ {8 v2 |Partial sorting, 偏排序! x* P r/ K+ `9 j
Partials residuals, 偏残差0 z& J( ^# z. ]# \/ f; L- V0 g+ H
Pattern, 模式3 h) B0 u- @: S/ \- M) k
Pearson curves, 皮尔逊曲线
1 p- h. s9 P! f' i3 mPeeling, 退层
, d/ f+ U6 i ~3 ] }# [Percent bar graph, 百分条形图, e r1 ^: p: j# G2 @% E1 j6 d! @5 w
Percentage, 百分比/ k1 I. [8 p6 f b/ s
Percentile, 百分位数# g$ B7 x5 j' a0 l% W! e1 {
Percentile curves, 百分位曲线
- |1 k/ D5 W: y4 X) BPeriodicity, 周期性( V; P" x; I2 c; `. @
Permutation, 排列( s( [3 V" \, Q2 {
P-estimator, P估计量
* `* c5 o% W7 N! Z& }' pPie graph, 饼图
9 c# P. {- z% r: a% @4 L: zPitman estimator, 皮特曼估计量* p3 ]5 @+ U$ k* M K
Pivot, 枢轴量
- y, H/ x& `4 W! f) P7 PPlanar, 平坦
# m. _3 k' K( e7 X* B- NPlanar assumption, 平面的假设2 W/ a2 A( [* V
PLANCARDS, 生成试验的计划卡
; k$ v( g. @6 e8 rPoint estimation, 点估计9 q' V6 _+ h3 h
Poisson distribution, 泊松分布, u5 C9 W7 t- B, z
Polishing, 平滑
/ |% k( p; H5 rPolled standard deviation, 合并标准差
% j9 |# q4 ]/ h- xPolled variance, 合并方差
, Z- V3 q& x2 h) g! |: P" w/ gPolygon, 多边图
% u/ \9 Q) o# D8 R' u. y* k* ~5 mPolynomial, 多项式
5 m( o1 P4 n5 I& m; @/ PPolynomial curve, 多项式曲线! M9 B. Q4 F& N0 l3 N# T; j
Population, 总体4 O( S5 L! T# X2 C$ C9 k. ~
Population attributable risk, 人群归因危险度7 \# ~9 @( E2 k/ ~ _
Positive correlation, 正相关3 L# h" m7 R8 T2 |( \* n' k
Positively skewed, 正偏, V7 W+ y& S" C* o' G* l
Posterior distribution, 后验分布' q4 ^9 }* r7 ^, j' R, ^
Power of a test, 检验效能- y6 g d0 a. W' ^# p" V0 v
Precision, 精密度
; i7 |9 T. }, W! U8 d& ^Predicted value, 预测值/ W5 b2 Z4 p0 C( P
Preliminary analysis, 预备性分析, {1 h' L; m0 n# K, o" r- Q& q
Principal component analysis, 主成分分析. |8 U. y5 T& ]1 C5 `: v
Prior distribution, 先验分布- K# D; l0 [9 j
Prior probability, 先验概率1 H6 A9 }% z t( G4 D2 Y, n
Probabilistic model, 概率模型1 c; Q3 O0 T3 |9 J- p+ l( y
probability, 概率* s" K5 M9 z z
Probability density, 概率密度
9 |$ H9 C6 p' a7 N5 V" f" XProduct moment, 乘积矩/协方差
& ]% k3 O$ y' S1 R- b. RProfile trace, 截面迹图! I# p$ G& [* }
Proportion, 比/构成比1 E6 F5 s0 l# a; }' Y
Proportion allocation in stratified random sampling, 按比例分层随机抽样
4 G$ U+ m9 s2 _- [/ v* JProportionate, 成比例 c b, N# w- I% K2 F5 w D V' E/ Z. F
Proportionate sub-class numbers, 成比例次级组含量6 T2 e! ?- ~3 x
Prospective study, 前瞻性调查
3 j( ?3 [+ s% r7 F! ?! M, v) pProximities, 亲近性
( F. ?+ @3 ` n1 W. N' o) MPseudo F test, 近似F检验0 S2 S O; h" Q; h* v3 E8 r
Pseudo model, 近似模型
6 V3 U' B _" D. n7 Q {Pseudosigma, 伪标准差
2 Q4 a2 R# X- O- v! N. e7 t; {) v2 O9 ^( VPurposive sampling, 有目的抽样 u9 Z8 K3 c J
QR decomposition, QR分解. O& k6 d0 @4 G
Quadratic approximation, 二次近似
0 B' ~$ c0 H" D' k5 Y2 R6 w$ wQualitative classification, 属性分类- K, D' L) N" [
Qualitative method, 定性方法
' W7 @5 I5 D+ e. V6 T( YQuantile-quantile plot, 分位数-分位数图/Q-Q图) R0 ^+ U6 G$ i/ U# x3 n
Quantitative analysis, 定量分析3 p' h( W ?( _( o! s
Quartile, 四分位数% I: W! ]# @6 s; O K$ ~
Quick Cluster, 快速聚类# k4 g' m, W7 ^9 {+ b
Radix sort, 基数排序
7 y* K( {% Y% M. n+ jRandom allocation, 随机化分组
# l M" ]" A3 `# K+ `7 P! SRandom blocks design, 随机区组设计 s- K( g G/ K" U& C
Random event, 随机事件0 [) S2 T4 E5 H( I1 _
Randomization, 随机化9 I" k9 T; R# P9 h, j; h0 X/ q
Range, 极差/全距# j* C" X" K: P7 h
Rank correlation, 等级相关
$ R% J5 r/ n# `- O u4 @ O; ~9 z7 z9 }Rank sum test, 秩和检验
( }5 c; z+ N0 f# d. B, TRank test, 秩检验' o7 d+ C3 N" P( `
Ranked data, 等级资料: _3 X( h# s& `- J/ i- h+ n
Rate, 比率
( \% L1 ^" p5 G/ p5 {Ratio, 比例- \$ V# G8 V6 N: ^8 Z5 t
Raw data, 原始资料
1 r: o; N8 H- @( FRaw residual, 原始残差& H$ h" ?) R9 ^: h( `& f# |
Rayleigh's test, 雷氏检验
, V% h9 k9 Y, \, ]Rayleigh's Z, 雷氏Z值 y+ c# b6 W; X" C& R
Reciprocal, 倒数
! r3 R. G9 ]# p) p7 O& i* v jReciprocal transformation, 倒数变换
* C1 t. o4 h: @& R8 G! j: dRecording, 记录
7 I0 d1 x; ^# l2 uRedescending estimators, 回降估计量$ k; w* ^5 B9 ^
Reducing dimensions, 降维/ h$ ]2 d# F1 Y q! E+ |8 o
Re-expression, 重新表达5 |! q9 C/ m4 }* x8 A7 o
Reference set, 标准组
: Z2 t2 x# R4 a0 Z2 M8 DRegion of acceptance, 接受域2 C# U$ h6 |9 g5 ~
Regression coefficient, 回归系数, }# j7 E& z& C# ~: f4 I9 `
Regression sum of square, 回归平方和
' l* M8 D1 K- E% sRejection point, 拒绝点
B* Y0 u* A6 \! aRelative dispersion, 相对离散度
- ~7 A- F8 g) V$ z' L8 _( JRelative number, 相对数# o' d r! f/ ^) q: G
Reliability, 可靠性' [3 x! y9 H* j% P. P! E4 |: g: h
Reparametrization, 重新设置参数
& U: ^, m$ x8 R3 MReplication, 重复
w) m! r, p( _1 Q- ? yReport Summaries, 报告摘要. F+ W, i+ @1 M
Residual sum of square, 剩余平方和: Y1 A$ o; p/ L
Resistance, 耐抗性' ?9 h( m" ]3 X" z& j; I
Resistant line, 耐抗线
2 c+ o( \# q2 F0 k& \1 A' j2 PResistant technique, 耐抗技术
' b& |# u+ W! l' \R-estimator of location, 位置R估计量
& R' T2 x: K6 ^5 C7 H9 LR-estimator of scale, 尺度R估计量
9 q& T+ D( B( X4 z F" M: xRetrospective study, 回顾性调查
9 y7 a6 D5 q7 e4 y( ]' JRidge trace, 岭迹
- [; Z) P$ j! c/ N1 H1 Z* B# G; ]Ridit analysis, Ridit分析
4 I1 {) `, X h3 w+ _0 WRotation, 旋转
' ]( U+ M, Q4 rRounding, 舍入
0 |/ ~) G- S" m% _! V6 z( f# DRow, 行
% z6 [8 P' z$ l0 [! d/ dRow effects, 行效应# V1 J1 W: B# g1 ~0 W
Row factor, 行因素
G4 }0 B0 z- n* c- wRXC table, RXC表
; @( L, ~4 N9 D9 V# OSample, 样本! O D1 M. S- [- h0 l& f
Sample regression coefficient, 样本回归系数- K- k% D6 J" l5 L; Y) t! r
Sample size, 样本量6 ^! ~# g8 h; |, ^$ I' p$ e& E* [
Sample standard deviation, 样本标准差
% m$ T7 C" U/ Q, e% YSampling error, 抽样误差0 `+ o0 o: ^8 R: ]
SAS(Statistical analysis system ), SAS统计软件包% Q8 m: C2 S2 c
Scale, 尺度/量表
0 R: S/ t8 G7 yScatter diagram, 散点图' x: G8 E# W4 z6 b
Schematic plot, 示意图/简图( r9 n/ d/ B5 G+ P M i$ H9 `4 Y
Score test, 计分检验
; W" P1 T8 e# t. v' F0 U$ L2 \2 SScreening, 筛检4 ~( P) b, T+ e1 J! l( s" P. _ G
SEASON, 季节分析
- z+ G$ b0 v$ NSecond derivative, 二阶导数
- Z, S* E. K. m7 CSecond principal component, 第二主成分
8 c) [- L) y+ L( S! q: G1 f" zSEM (Structural equation modeling), 结构化方程模型 6 n7 ?+ u" l! @9 `5 L- |' ?/ f/ K
Semi-logarithmic graph, 半对数图
- {0 q! U/ J4 T3 ?2 V* |1 tSemi-logarithmic paper, 半对数格纸
( H7 v+ `0 i0 O' ]# Z+ A$ K+ eSensitivity curve, 敏感度曲线
0 Q# T. ]" K! g$ KSequential analysis, 贯序分析
, K' m8 K- W1 p TSequential data set, 顺序数据集
8 ?% r6 s9 m# G$ ZSequential design, 贯序设计
8 P1 o; o; ]0 DSequential method, 贯序法
8 J5 }+ I8 {7 V* G# ~Sequential test, 贯序检验法
8 h, C1 I# Q. z" `Serial tests, 系列试验
% }! K5 q |' @+ n6 ~ ZShort-cut method, 简捷法 ) S5 g! M% v8 @; d U
Sigmoid curve, S形曲线6 J8 J2 ], G6 v3 Q1 D7 S
Sign function, 正负号函数, v- c1 Z$ y7 @0 u# W. P( D# i
Sign test, 符号检验. N8 w. Y& r1 C
Signed rank, 符号秩
; i( X3 d+ K4 s: }Significance test, 显著性检验" V6 o4 Z9 p% x. k! q- J0 |
Significant figure, 有效数字
+ @6 d C8 y$ p2 C- t$ {5 u8 OSimple cluster sampling, 简单整群抽样# I% G4 a8 F' D# u I# T% P" b
Simple correlation, 简单相关6 X. o' S& r8 j6 W: w* X4 c! F
Simple random sampling, 简单随机抽样
) N, Q5 B- ^( S! WSimple regression, 简单回归
) m- D/ r! M* ^/ g2 S1 z% t6 vsimple table, 简单表. s7 a! [- I: g& X% t/ B
Sine estimator, 正弦估计量$ d9 C H G) E& K2 E- g! s
Single-valued estimate, 单值估计* t) ^% s' P# S9 j
Singular matrix, 奇异矩阵
: Z) Q1 p7 ]6 b0 KSkewed distribution, 偏斜分布
8 D" c4 i% n, P8 z; Q5 m HSkewness, 偏度
" D+ d8 g5 z3 ?# A6 aSlash distribution, 斜线分布
" P8 c+ }6 f. G' `Slope, 斜率
$ `8 {# \) h; M2 n9 I( o% dSmirnov test, 斯米尔诺夫检验( C& }% ~* O8 v/ I
Source of variation, 变异来源- L8 m: L( g% f2 F- X
Spearman rank correlation, 斯皮尔曼等级相关" k/ C: M* T# j
Specific factor, 特殊因子+ f7 K$ m% v* M& y2 J7 g( z0 S
Specific factor variance, 特殊因子方差% g: i# `+ G& i0 I4 P& ~
Spectra , 频谱" ?! C6 e f: x3 M- m( c& W( V
Spherical distribution, 球型正态分布* \" `( Q" w2 s' S Z: Q1 s
Spread, 展布
- M; S0 V( J3 `2 A# eSPSS(Statistical package for the social science), SPSS统计软件包
; ^; [* O/ X5 s' a% n- w5 u* `Spurious correlation, 假性相关) o" w& N8 L8 A- O& Q% G) e: n
Square root transformation, 平方根变换7 v# V: s3 y9 R2 X" f7 G* G5 \
Stabilizing variance, 稳定方差
( O7 e. `8 K" Q- uStandard deviation, 标准差
0 V/ @( t) t. V: EStandard error, 标准误
: A3 B6 i7 _2 H4 \& \; mStandard error of difference, 差别的标准误
8 G" H+ M) z# n. CStandard error of estimate, 标准估计误差0 ?( E8 g; a, @/ b
Standard error of rate, 率的标准误7 f& \! V" z, A. m
Standard normal distribution, 标准正态分布
* g3 |; K' Q) ^Standardization, 标准化
9 ^: W7 ` Z9 D+ CStarting value, 起始值
% {) D! O& `1 F# [Statistic, 统计量
5 D' u) d! ~3 X& X' E% z) bStatistical control, 统计控制/ H) o# Y# j7 a E) \$ o
Statistical graph, 统计图
# P- p5 ?6 i' b9 ?# h, aStatistical inference, 统计推断3 N) ]! V. C7 M
Statistical table, 统计表
( Y5 A3 s1 o% ^' m6 JSteepest descent, 最速下降法
0 a3 p# O" p7 l: y6 KStem and leaf display, 茎叶图
" W& O0 F2 Y' f- C9 Q3 VStep factor, 步长因子, i+ I" I5 i; E- ]0 G
Stepwise regression, 逐步回归* S2 C& U I. T5 x+ q
Storage, 存
7 k+ c: } c- F4 B! j) X5 E- nStrata, 层（复数）7 |9 j4 Z) `* l2 Y5 q) ~ r0 j
Stratified sampling, 分层抽样0 H+ S4 m6 @* `, M, t6 n/ ?+ Q
Stratified sampling, 分层抽样( H0 d3 C6 \: b
Strength, 强度
9 |1 l; x$ J, |Stringency, 严密性
. u5 p4 Z9 E* a8 v5 q+ pStructural relationship, 结构关系7 t& z) v5 }/ L1 e& {% ^ p
Studentized residual, 学生化残差/t化残差% h, G5 }3 H. l# d0 z' ?1 k
Sub-class numbers, 次级组含量
1 C3 }+ k) [2 l, O* ~3 r P2 ~4 |Subdividing, 分割, U+ b: R( Q. `- g: Y
Sufficient statistic, 充分统计量
' B+ E8 f; t4 ~9 \ c1 rSum of products, 积和) @" V/ E5 d0 `! `2 [
Sum of squares, 离差平方和' q2 k6 v4 [5 V
Sum of squares about regression, 回归平方和
. D5 ?. _( G% r3 P! ?& _- v1 M. ISum of squares between groups, 组间平方和& b0 |# j0 I" K+ F9 g6 ^6 s' I- l
Sum of squares of partial regression, 偏回归平方和
" J% q; Q" o( C! @Sure event, 必然事件
6 Y3 a3 _+ h! l) r) KSurvey, 调查- u( m4 W/ J _; k4 h4 l6 {( z$ A
Survival, 生存分析
# P! v A, a/ _3 r' y" l4 hSurvival rate, 生存率# l: N+ v9 x& V8 E4 g2 R# F
Suspended root gram, 悬吊根图, R) c# k& r' b; K3 q% R9 X
Symmetry, 对称
( l" a( Q' S; [" O8 n4 r: C( Q. gSystematic error, 系统误差
8 T4 } v z* z) WSystematic sampling, 系统抽样
T1 l" u2 W7 ~5 O6 C2 B* UTags, 标签0 L" m# Q7 X6 o, M& {4 G1 ~
Tail area, 尾部面积, |2 ]; ]& x @; _. ~, _/ n" Z: u+ ?
Tail length, 尾长
/ T: X, s+ t, `# J' oTail weight, 尾重
$ |4 C" d+ I6 T6 iTangent line, 切线
, j* Y2 ?4 S9 w: V" UTarget distribution, 目标分布
+ }) E8 R) I8 B7 w. [6 f4 M5 _Taylor series, 泰勒级数
) _. G( L$ x* iTendency of dispersion, 离散趋势# m7 ]0 t- q4 V4 R. `5 }' Y7 k
Testing of hypotheses, 假设检验/ M& M; U- {0 o" d3 E7 ~
Theoretical frequency, 理论频数0 }7 R# ]$ E! c R4 x
Time series, 时间序列
# F0 z; w' Q9 T1 M, h9 G" cTolerance interval, 容忍区间# d W* w0 Y. p) [3 z i% x
Tolerance lower limit, 容忍下限
: S4 Y- s3 `- d T& iTolerance upper limit, 容忍上限" m. s) w- l# ]1 \8 |3 k+ V9 s5 D
Torsion, 扰率( W- Y, ^, [( z
Total sum of square, 总平方和
4 j- Y1 L+ e. PTotal variation, 总变异" r. i# s: H/ h3 S' @
Transformation, 转换
+ P3 ?" i8 F, g4 ?) w; QTreatment, 处理
& B- A" P; K9 h" o) l1 G% nTrend, 趋势8 V0 m @0 ^, Q
Trend of percentage, 百分比趋势5 a4 F+ p4 A0 \
Trial, 试验
) v" y4 n0 X( cTrial and error method, 试错法
; N `* y S' a: L( {3 l- zTuning constant, 细调常数( A4 c4 L @) T9 g. G) K
Two sided test, 双向检验
4 s8 P& t$ s& ~6 c1 ?) sTwo-stage least squares, 二阶最小平方
3 [. }$ a8 K% s' k2 y9 c* b; u" WTwo-stage sampling, 二阶段抽样
9 U, d0 B! j9 ?; LTwo-tailed test, 双侧检验- B, r; f8 P9 h: K' H6 J; @
Two-way analysis of variance, 双因素方差分析
* T/ n2 d/ z: ?Two-way table, 双向表2 z8 D4 d+ k7 ]' u
Type I error, 一类错误/α错误/ B3 i. x3 C! i5 ~% b
Type II error, 二类错误/β错误
5 O& d4 e. k2 XUMVU, 方差一致最小无偏估计简称
" d5 i" C+ Q0 Q( a& ~ eUnbiased estimate, 无偏估计
/ N% T/ b( ~5 U0 {, fUnconstrained nonlinear regression , 无约束非线性回归
, C5 |: b6 j9 H+ g5 X( l' GUnequal subclass number, 不等次级组含量4 B& E$ W5 p' Q; U$ B. d
Ungrouped data, 不分组资料
/ o. K9 @1 [/ B+ F, p$ U: B8 W) WUniform coordinate, 均匀坐标; A1 P& @' F" \( H: Z& ]/ D( t
Uniform distribution, 均匀分布
- d" h4 T2 t# X* c5 z2 `Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计; T8 B" y5 |$ w" s4 {4 b
Unit, 单元" g- k% ^7 n* b- J+ c& I. G
Unordered categories, 无序分类3 B, c4 S$ h$ F0 \2 X
Upper limit, 上限
% u2 k% m! W& L- Z- y8 f; x9 sUpward rank, 升秩
! E b1 F/ k( b1 G& o: lVague concept, 模糊概念
, s' o* C* @) c6 x5 DValidity, 有效性. f" ?( L% L% @2 C/ V, L% }9 F' j8 r
VARCOMP (Variance component estimation), 方差元素估计! Q5 b1 l* R3 Q* k6 A# e& t) _
Variability, 变异性$ l- | p0 ]# Q: N d" S6 Q! F( i
Variable, 变量
# `9 ~7 x' T- VVariance, 方差
, P6 H$ |" m$ ]7 G9 r! O7 I1 I# Q. PVariation, 变异% r% U' E5 }7 v; R) K! D3 A" x" P
Varimax orthogonal rotation, 方差最大正交旋转7 I# `; k0 j+ a' Y
Volume of distribution, 容积1 X0 q5 R; ^1 U S. `
W test, W检验: r- K. ^& j& K9 L6 L
Weibull distribution, 威布尔分布
4 X, C+ M: D$ D, _ v' nWeight, 权数- s' X, I8 F5 }3 H
Weighted Chi-square test, 加权卡方检验/Cochran检验+ e8 D) y. G* i+ {& n2 D6 ~
Weighted linear regression method, 加权直线回归
+ b( @7 ?4 u6 d2 aWeighted mean, 加权平均数, d) S! J; Q/ d0 J0 B! i# o, ?
Weighted mean square, 加权平均方差
0 g- f! f+ \, C5 e0 T2 RWeighted sum of square, 加权平方和$ R) `& I& d" u3 D
Weighting coefficient, 权重系数% k6 D& j: }1 g! S$ ?
Weighting method, 加权法
9 X8 _ {, T2 O& OW-estimation, W估计量
3 |" ~9 V8 L5 z; F4 E5 H" }W-estimation of location, 位置W估计量; e* R; R$ o$ u, v' h; x
Width, 宽度8 r9 v. h/ h8 o0 L# O3 Q
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
! B) w; R; m U& ~! B, n6 U6 r" qWild point, 野点/狂点
3 c5 \7 e" S/ K$ R1 EWild value, 野值/狂值
9 a# ^0 s. c' rWinsorized mean, 缩尾均值' n+ v7 u0 o7 l, j
Withdraw, 失访 ( o; A% @& ^. [# ?
Youden's index, 尤登指数
2 v% F, B; U. r5 b5 T9 K7 tZ test, Z检验
* B! E) |& W7 A) N- w/ ?Zero correlation, 零相关
/ n& f8 f4 j0 @/ M2 TZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
