|
|
Absolute deviation, 绝对离差, V8 q0 R5 q# w2 b3 ^0 O
Absolute number, 绝对数0 t3 X* o' `3 q3 M
Absolute residuals, 绝对残差, w& A# _% d1 T0 P: i
Acceleration array, 加速度立体阵( [$ N+ n2 H0 c& j
Acceleration in an arbitrary direction, 任意方向上的加速度/ ^! A) m6 L& I6 v5 k u
Acceleration normal, 法向加速度
$ y$ _6 k0 X6 d; s/ KAcceleration space dimension, 加速度空间的维数
/ l" t2 d6 {1 B1 EAcceleration tangential, 切向加速度7 F) F# J9 Z- ^# t8 L# ]9 e
Acceleration vector, 加速度向量# F, h' k# I v
Acceptable hypothesis, 可接受假设4 Q. F4 l' _. f& N& J& ]* e
Accumulation, 累积
; p% r9 x+ I& ~! @/ p- m) kAccuracy, 准确度
2 T. k1 j. [& }3 b2 X4 Z1 {% B0 o- vActual frequency, 实际频数; Z6 f. B7 b9 f5 U
Adaptive estimator, 自适应估计量
/ Z) C/ ~5 ?0 Q: }- ^Addition, 相加
r {2 `3 F K m" |8 @Addition theorem, 加法定理& x9 \. [+ B! C' s/ y7 j
Additivity, 可加性
+ i U h; X: e* L2 U3 g2 EAdjusted rate, 调整率) X' m6 d! {, ^0 a1 p
Adjusted value, 校正值/ {% {/ h9 f0 o; `6 {: m/ W
Admissible error, 容许误差/ S1 { _ \ D
Aggregation, 聚集性8 ]7 |$ f& S& x+ \
Alternative hypothesis, 备择假设
' n4 h' h2 B* A) DAmong groups, 组间
4 F1 B- }# t2 x8 wAmounts, 总量 |3 H3 c9 p7 _, ^# u
Analysis of correlation, 相关分析
& `" Z& J) z9 H3 dAnalysis of covariance, 协方差分析8 A- V$ r% Q- b6 h
Analysis of regression, 回归分析3 k5 k/ M; D+ ?( R
Analysis of time series, 时间序列分析3 @7 w$ J( ^3 h5 [5 u
Analysis of variance, 方差分析" L7 C5 s9 J# W3 O' S6 \! k, S
Angular transformation, 角转换
2 D. @5 U+ T& o9 n- f/ jANOVA (analysis of variance), 方差分析
5 b. |% F/ r- n: c. a7 LANOVA Models, 方差分析模型
* q9 m5 O: W% v r, {. B" IArcing, 弧/弧旋
+ a3 w9 C, {7 FArcsine transformation, 反正弦变换: M& `1 l7 ~% e5 M
Area under the curve, 曲线面积
2 k2 o; R. o, Q# UAREG , 评估从一个时间点到下一个时间点回归相关时的误差
0 S" I$ I9 {6 m9 {% nARIMA, 季节和非季节性单变量模型的极大似然估计 ( F- c% C3 Z2 ?2 K+ Z
Arithmetic grid paper, 算术格纸
1 n+ y0 C4 _4 ], m# LArithmetic mean, 算术平均数
5 `9 u& @4 X/ K5 g, h e4 lArrhenius relation, 艾恩尼斯关系3 Q( [- m9 K& u9 P! Z, N7 G
Assessing fit, 拟合的评估
. C& n1 A9 G# [6 d3 ~: r8 _ LAssociative laws, 结合律
+ k5 F) m$ j: P' D) p' N% s. l' NAsymmetric distribution, 非对称分布% ~& [8 z+ V. ]5 `2 P# e
Asymptotic bias, 渐近偏倚
" T! `2 b: q1 E) IAsymptotic efficiency, 渐近效率) u7 O8 u0 m8 j& Q7 \ v9 D
Asymptotic variance, 渐近方差
- u3 m6 }, t# CAttributable risk, 归因危险度5 V0 B% O" o5 H" R
Attribute data, 属性资料
, r; H: F5 c! _0 L- Q$ f" I, IAttribution, 属性3 }6 P9 h1 ~ n3 Y9 P# B+ {5 u! _
Autocorrelation, 自相关
- ^# T, G8 U2 Z" w4 a( tAutocorrelation of residuals, 残差的自相关" L6 G% Z% j* ^& V* I
Average, 平均数! q; Q# k( E5 l( Z0 h3 D; ^$ ?8 D
Average confidence interval length, 平均置信区间长度: j; B! {/ f. L6 w" m) u
Average growth rate, 平均增长率
: b, V( I U/ s% {Bar chart, 条形图! f2 G) g2 X, E8 |$ B( M
Bar graph, 条形图
m' Y _- c9 [" c0 }. X6 TBase period, 基期% V% [# \; U: Q' Z! \# d# X# B9 j4 h
Bayes' theorem , Bayes定理0 o, g! k4 q6 \ z
Bell-shaped curve, 钟形曲线
% C# o+ @6 i4 U* h9 X: Y0 mBernoulli distribution, 伯努力分布. x0 d' |$ \. Y' i% O3 l
Best-trim estimator, 最好切尾估计量
3 N R1 {! N. |' l, ^9 X7 W6 K! yBias, 偏性
& n% l9 Z- [7 Y: F) L: VBinary logistic regression, 二元逻辑斯蒂回归: S" D+ ~# P6 a2 U' A, |8 C
Binomial distribution, 二项分布9 n- N' S/ ]) t' K- C" S
Bisquare, 双平方
. p( G1 j# l# |Bivariate Correlate, 二变量相关
, q# Y, n5 W! ], k, @0 h- NBivariate normal distribution, 双变量正态分布# r' r/ N( }( ~4 u" x
Bivariate normal population, 双变量正态总体+ r% ^. e& ~# n& f- @
Biweight interval, 双权区间0 [2 e- i# `) P b- {1 o. n. B5 k
Biweight M-estimator, 双权M估计量
- ^+ t+ j4 k6 l% a, GBlock, 区组/配伍组
7 X; T7 V( g, }+ U& e- ?, j/ IBMDP(Biomedical computer programs), BMDP统计软件包
4 `9 E" K, c0 s) ~& G: @Boxplots, 箱线图/箱尾图3 r1 Y+ f7 h5 `+ Z' t" E
Breakdown bound, 崩溃界/崩溃点
% w9 U4 ^8 k9 A1 ^7 i! U1 ICanonical correlation, 典型相关
* u1 ~$ A, a' I y5 T+ W6 `Caption, 纵标目/ Z' F! ]4 T4 J4 |9 Y
Case-control study, 病例对照研究& F8 B6 k4 N- N9 p
Categorical variable, 分类变量 s. E% b- `9 ?, q" a" q
Catenary, 悬链线
* c+ c# u5 H. C- r, h6 _* XCauchy distribution, 柯西分布$ a* R- F0 G# {; U1 A1 A
Cause-and-effect relationship, 因果关系
6 [ f2 H) p' h! F% }Cell, 单元' U0 e4 L5 D; f0 Y4 t( g' i/ p( i. E
Censoring, 终检
1 e3 c4 G3 e% w( d) _Center of symmetry, 对称中心" h! A1 q3 @. K# t7 H
Centering and scaling, 中心化和定标
" c" g7 I. C2 D- M& UCentral tendency, 集中趋势% x, R/ S, M+ y5 L
Central value, 中心值
$ h$ u! v% F" j3 PCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测" y% v0 V3 v0 h; y
Chance, 机遇0 p1 R g8 ]% g. Y
Chance error, 随机误差" D9 h- g# R$ \# k
Chance variable, 随机变量
2 O4 V6 t- O1 j' F+ w2 h. ?Characteristic equation, 特征方程% l* Q7 I! \. M. {7 |( I
Characteristic root, 特征根4 m1 |& m, s& Z4 e- z
Characteristic vector, 特征向量! v0 p* o, m g( G) F$ B9 k% @
Chebshev criterion of fit, 拟合的切比雪夫准则
) ^6 U z3 ^: PChernoff faces, 切尔诺夫脸谱图6 X0 z5 P- W: e( h* `& T
Chi-square test, 卡方检验/χ2检验
+ j6 M3 G( v% A8 v, h% V3 TCholeskey decomposition, 乔洛斯基分解
4 i5 ~! i0 f5 t' v7 ?Circle chart, 圆图
/ A4 H+ Q9 \1 E+ G+ K8 e- F' wClass interval, 组距
4 R2 _+ G; h. j( o3 j7 XClass mid-value, 组中值6 O- O1 `* C6 z+ f( x+ Z: \
Class upper limit, 组上限+ d, P! q4 `; g F9 @
Classified variable, 分类变量3 V( v$ _8 \! w
Cluster analysis, 聚类分析
m# s& N. }/ c# T; e ^5 N. bCluster sampling, 整群抽样$ \! d# j2 b7 X3 E
Code, 代码
- B3 |& M9 v' ]3 I" `5 z# WCoded data, 编码数据6 F! r7 _) C+ G
Coding, 编码
1 t. q( ]" P7 n0 t0 c, RCoefficient of contingency, 列联系数. e) y! u% J1 S) h
Coefficient of determination, 决定系数% ]5 O7 j: P8 \2 r' a
Coefficient of multiple correlation, 多重相关系数
, O3 P/ l" Y, P0 G9 K# Q4 D7 z% QCoefficient of partial correlation, 偏相关系数
( s4 a4 B, L* W; h5 \' \% Y- rCoefficient of production-moment correlation, 积差相关系数
* v! T! O7 R! x! X# fCoefficient of rank correlation, 等级相关系数
( k" V L; |3 R- e' u+ bCoefficient of regression, 回归系数
6 y0 Z6 @: l3 F, O6 m' M0 t0 |! @Coefficient of skewness, 偏度系数2 B6 y+ r# v+ ?+ Z$ K* b
Coefficient of variation, 变异系数
% _5 W) y1 |" L. d4 A+ FCohort study, 队列研究+ k' [; w1 k& x1 N1 j5 z
Column, 列
/ p* C8 r& a9 R3 mColumn effect, 列效应5 I- D/ R9 s& |) f! W0 K$ W
Column factor, 列因素! |3 U; F$ W9 a; d3 F! d* P5 V; Z
Combination pool, 合并" r2 q7 t/ M2 u/ ~5 H4 @; N- O" D6 ?/ i
Combinative table, 组合表% m+ Z8 Y2 C- h
Common factor, 共性因子
3 x: Y/ {* z2 I( q6 y" m! j s# V, eCommon regression coefficient, 公共回归系数
, r- b& r/ B+ KCommon value, 共同值
) [! Z& b$ I. H7 SCommon variance, 公共方差
) F( S5 w7 F8 d4 {/ V( ?7 ^7 `' \Common variation, 公共变异4 L7 D* y9 c/ Y
Communality variance, 共性方差' s# R# u) u" S R3 c; `
Comparability, 可比性5 t- l N* e- }' i* g4 k
Comparison of bathes, 批比较
5 Y- _8 D# K3 }. `; c5 S$ iComparison value, 比较值
. B- [3 P- \' r. y7 r! A& [/ a0 J0 aCompartment model, 分部模型
, o2 ~5 T8 z" s. j- qCompassion, 伸缩5 i, U; e, |" ]: f
Complement of an event, 补事件5 V" R4 E S5 U! y+ D
Complete association, 完全正相关
; E( t$ W: B: J# ], U2 dComplete dissociation, 完全不相关4 I( {, A3 e; e7 X1 m* h
Complete statistics, 完备统计量3 p* ]" b! G' {% h" I! E
Completely randomized design, 完全随机化设计
) Y1 M; u* O/ Z- D0 ]Composite event, 联合事件4 R2 \( F+ k! L4 O/ i5 h/ D
Composite events, 复合事件' g4 K, h+ S. y( `
Concavity, 凹性
5 |6 J; k1 w1 {2 H6 N$ J4 XConditional expectation, 条件期望( }) D [: p& G2 `
Conditional likelihood, 条件似然4 N4 \% N/ e$ F! X
Conditional probability, 条件概率
, M( g, K, S* ~/ j' O) qConditionally linear, 依条件线性
, f1 b2 Q7 n- a9 u' zConfidence interval, 置信区间6 s; ]( G7 d6 B1 o2 s5 K* G
Confidence limit, 置信限
/ X3 y4 U9 o9 V1 } oConfidence lower limit, 置信下限4 ]6 |7 {8 D- e7 J; X, z) H
Confidence upper limit, 置信上限; B4 T! j" ~# @, L
Confirmatory Factor Analysis , 验证性因子分析7 C* T) w6 G, N _# t2 \6 m' x1 W7 B. \
Confirmatory research, 证实性实验研究+ D" _2 |. x* j2 t5 p: R/ _0 j: l D
Confounding factor, 混杂因素- ^4 c& @/ Z( B; W+ i
Conjoint, 联合分析
% |* B1 L+ C% L! B& {5 z$ DConsistency, 相合性
; W8 U* N- _, S; }Consistency check, 一致性检验
0 [. d/ ]4 w( f; RConsistent asymptotically normal estimate, 相合渐近正态估计
% y" w. [3 ~3 C( K; }/ s$ _. c; K0 cConsistent estimate, 相合估计
+ f$ Q' t( f; JConstrained nonlinear regression, 受约束非线性回归. _. ]1 ^9 e: y9 v h1 X
Constraint, 约束) G6 \. E- S3 ]; Q
Contaminated distribution, 污染分布0 v$ ~# r, A+ F" d3 W; B" M
Contaminated Gausssian, 污染高斯分布7 `* I H. c5 x6 h
Contaminated normal distribution, 污染正态分布
( k3 |5 a& Q- C, O7 r1 e2 PContamination, 污染+ G2 `& F: X& h3 S* P/ K+ Y4 \
Contamination model, 污染模型
. a) e/ {3 H8 d4 tContingency table, 列联表
( Z! C2 i6 C* M {7 lContour, 边界线+ S2 R# G+ L. \ m
Contribution rate, 贡献率
5 m1 B3 Y' F: k6 Q9 _4 q0 Z7 ZControl, 对照# [$ |4 l8 x- ]2 p% T; ~
Controlled experiments, 对照实验
* V1 n9 N) l5 ?2 ~8 ?0 \/ M; b+ zConventional depth, 常规深度7 q; {. G, \$ k" E- F% I
Convolution, 卷积6 B8 f6 ~. o8 { W
Corrected factor, 校正因子7 \; f0 a) y L; C1 l& l! j; w
Corrected mean, 校正均值
r9 c" {1 C$ _ n% @$ ~3 G% MCorrection coefficient, 校正系数4 S& y! w1 j: [
Correctness, 正确性
+ g' Z: }" N, \Correlation coefficient, 相关系数* t* a8 ~5 u/ R; t
Correlation index, 相关指数4 K# v* X0 ~4 |0 P: x
Correspondence, 对应
0 S1 y1 E+ D, F8 p1 ~/ dCounting, 计数
2 e3 y& d1 e. L* N5 FCounts, 计数/频数
, m1 W* V* g& A% I5 I$ e7 s, t3 B: ACovariance, 协方差
( Q: k9 _; y6 t* R4 S: YCovariant, 共变
- h; y" T6 ^+ qCox Regression, Cox回归4 X; T+ W- R% J9 H; q" A' g
Criteria for fitting, 拟合准则5 b8 e; y) s9 \8 w4 V2 \& J" G
Criteria of least squares, 最小二乘准则
5 o& Y; v" j- z% j! N$ |Critical ratio, 临界比
4 k, `9 |: U4 e" s g! g5 F# sCritical region, 拒绝域, b0 f, V7 p8 o; O# A0 l2 f) [) _
Critical value, 临界值: ~. e& B' T5 |+ n u
Cross-over design, 交叉设计
- `+ l% y9 [ g1 W9 L4 E' Q. NCross-section analysis, 横断面分析4 d( b7 f2 ]2 h, o
Cross-section survey, 横断面调查& f1 R. X8 L* V6 p
Crosstabs , 交叉表 9 Z5 s9 f0 C; H7 |5 E
Cross-tabulation table, 复合表" s/ A- R$ N& o% T( }4 L' v" ~
Cube root, 立方根' \2 Y6 k) S, I7 }
Cumulative distribution function, 分布函数# Q* s4 g0 O* P" F. Q
Cumulative probability, 累计概率4 {) U7 q2 k, |/ Q* s2 d( |3 X
Curvature, 曲率/弯曲
0 L, C& k/ x8 V' H3 rCurvature, 曲率* Q, K2 A0 c, s* h: h6 J3 R
Curve fit , 曲线拟和 * M$ F* x! {* e! c/ d
Curve fitting, 曲线拟合, h/ n' h d1 A: `- }" d# L# g
Curvilinear regression, 曲线回归
" D" N; z" W8 B& p }5 GCurvilinear relation, 曲线关系
1 Z$ T2 l! t' U0 Y9 b; \+ ?Cut-and-try method, 尝试法9 q5 O. o" _+ O
Cycle, 周期
0 g7 f. _( }$ J: m( ECyclist, 周期性
$ B$ v& V9 h' S( l2 C hD test, D检验6 K( I5 a7 z' q9 c+ D( ]% {
Data acquisition, 资料收集; S+ G0 q- b3 `' \' R' q
Data bank, 数据库
& o, d- l1 |0 P% S @9 FData capacity, 数据容量
9 r; @3 o/ J) R9 N l3 J, ~2 A+ GData deficiencies, 数据缺乏( Z# F& B) X& {: `" N7 f8 y( e* Q# h
Data handling, 数据处理$ W2 p8 m _1 j# q
Data manipulation, 数据处理' G5 w9 B: d/ B3 r
Data processing, 数据处理
/ U- v X/ }7 U8 ^6 d" Z% bData reduction, 数据缩减
- x" M+ d. Y0 o# _4 \Data set, 数据集
2 @9 {* j9 I B6 k/ a; Z8 xData sources, 数据来源4 E& ]3 ~; N% T; q" D
Data transformation, 数据变换
. P" Q8 ]3 r- ~' a" G$ U9 HData validity, 数据有效性
5 i/ W# E* F. U: X* b# {0 sData-in, 数据输入1 p2 _/ q# N& g3 s, h
Data-out, 数据输出3 _+ t9 k& `. v1 S+ m
Dead time, 停滞期0 v4 |9 k9 p9 F" S/ ^) f
Degree of freedom, 自由度
9 Y! }% b( v" Q1 YDegree of precision, 精密度
' @( V: M; k: I+ h0 C( S5 m) Y/ FDegree of reliability, 可靠性程度+ v) a# N' D( B3 S% W6 U
Degression, 递减6 W8 A! X& K8 F* M: u6 S5 H
Density function, 密度函数" E }* L' S, w
Density of data points, 数据点的密度6 L w7 |+ E$ a$ c- V9 w( a; |
Dependent variable, 应变量/依变量/因变量
5 z2 ^5 o) T6 o: h- `7 wDependent variable, 因变量; l- Z. @2 U* Q# h% c4 ]1 U/ J4 {
Depth, 深度# ?3 X) i* C4 P, h x- u0 L, p
Derivative matrix, 导数矩阵& y! q( Y4 a( _- {) T
Derivative-free methods, 无导数方法" C; q& {9 o8 B+ o- T7 ~
Design, 设计! j- S! Y( _; u5 @
Determinacy, 确定性
4 [" m; x$ u$ |8 h8 eDeterminant, 行列式- [6 D' z4 s- G
Determinant, 决定因素
* J* g" c8 _2 d: M& t7 P; L* cDeviation, 离差
9 Q9 S+ U: x8 k* E8 d5 E% oDeviation from average, 离均差
) N& k* g( \& R( JDiagnostic plot, 诊断图
4 o; F* H* p) ^8 X0 S# cDichotomous variable, 二分变量6 b* Z* |8 N! B7 @' v& d3 y
Differential equation, 微分方程
6 S0 b! B! O J; [( V7 |- }Direct standardization, 直接标准化法
! v8 c# y- v9 P, PDiscrete variable, 离散型变量) K) ^$ g# y5 q' }( O
DISCRIMINANT, 判断
( S1 y+ |( @) `( o8 R9 n4 h k1 hDiscriminant analysis, 判别分析' R7 O5 V0 E/ ^# s, B
Discriminant coefficient, 判别系数
! Z( N3 k: g# k( j. TDiscriminant function, 判别值. K) p% }2 G' V* n
Dispersion, 散布/分散度( f C% _. f" ~
Disproportional, 不成比例的
. T( r$ F6 @7 m+ k$ \# lDisproportionate sub-class numbers, 不成比例次级组含量
+ A. e! B" O% g# R0 o& E* YDistribution free, 分布无关性/免分布# A6 f. G; Q% M5 _7 C% @
Distribution shape, 分布形状
% _: a0 c) y1 hDistribution-free method, 任意分布法
. ^9 u% s0 V" ^/ X3 N2 fDistributive laws, 分配律
6 q$ }5 Q9 _0 i4 @' K& V; @( A# {) SDisturbance, 随机扰动项0 Q$ n# C5 {: E, ]5 J$ ?2 F+ ^5 [
Dose response curve, 剂量反应曲线: [" [/ ^/ A; K
Double blind method, 双盲法% s/ s) O2 K9 w. E3 N& F
Double blind trial, 双盲试验
! _" i, _8 i; W& ^7 i1 ?/ xDouble exponential distribution, 双指数分布
( L2 Z" a- L' j3 _Double logarithmic, 双对数$ S6 X) X4 p& K, K5 n/ e$ n
Downward rank, 降秩
1 |1 k& B _1 ]9 @& lDual-space plot, 对偶空间图0 `( R' ?8 e5 U# j1 ~( i& l
DUD, 无导数方法
, k: d. n6 b/ }+ K1 c) f/ ]6 m1 |Duncan's new multiple range method, 新复极差法/Duncan新法. R( w4 P& `$ ]' g1 }8 l- c
Effect, 实验效应
" h5 A# M! V$ h) h8 aEigenvalue, 特征值
3 O! v+ |7 k$ jEigenvector, 特征向量; E: B+ p8 q4 j8 ~
Ellipse, 椭圆, g/ z! r3 Q3 f! `0 W3 G4 |
Empirical distribution, 经验分布7 I( P( T" q. W$ K
Empirical probability, 经验概率单位
4 h+ `/ i8 Y' m! `4 s" y7 U" FEnumeration data, 计数资料
$ X! H0 R: s& Y# ]6 Z* E8 XEqual sun-class number, 相等次级组含量; h% ?% d7 |: \% m! M+ U7 w
Equally likely, 等可能
4 B o, u n+ \8 f+ Q8 \5 }9 }Equivariance, 同变性
1 W/ ]+ Y: t9 R& QError, 误差/错误
) f6 l6 j/ S8 P& p) _" ?Error of estimate, 估计误差$ k6 a" H/ Q4 q$ J; v9 Q M) N/ M1 L
Error type I, 第一类错误
) p- x; l) b0 I/ e6 KError type II, 第二类错误
' m; @+ j# ~/ {: q8 E4 kEstimand, 被估量
- z: a0 H6 b! N+ o5 ]2 k6 m4 e' aEstimated error mean squares, 估计误差均方
5 }& O- V( j4 L6 x3 `% n c' R, mEstimated error sum of squares, 估计误差平方和' `/ O3 S$ R; Z" I& \& a
Euclidean distance, 欧式距离
+ u: `* E+ V/ X7 Q0 {Event, 事件$ q* c3 r' O) R0 \5 C: K
Event, 事件
7 C! B; j7 O E' o. p" |2 kExceptional data point, 异常数据点
" P3 H/ q! P( W9 [Expectation plane, 期望平面
4 _- I$ w6 p) W. A% o) bExpectation surface, 期望曲面
/ u& C8 N; g. bExpected values, 期望值
/ ?5 J% ?& }9 n% } m9 z3 sExperiment, 实验, N$ g" G& p1 N& G- r- Y) F: ?
Experimental sampling, 试验抽样
1 @( T6 D7 ?& B% \0 D4 G$ }Experimental unit, 试验单位$ F4 n( P1 q% n! N1 O/ l
Explanatory variable, 说明变量
1 a9 Y! h, A- h4 e2 ]5 |( }Exploratory data analysis, 探索性数据分析
! q4 _, r5 V+ @Explore Summarize, 探索-摘要5 Y% g. D# v2 D( j# A
Exponential curve, 指数曲线
4 T" o+ ~- Z! d6 k) Y* k- aExponential growth, 指数式增长
0 I7 e) @% x6 G1 E XEXSMOOTH, 指数平滑方法 7 T% G! t8 `' l' L" {$ Z
Extended fit, 扩充拟合
2 `, b8 |! z# O0 ~! ?Extra parameter, 附加参数
6 ~% F/ P5 w9 b; R2 p( \Extrapolation, 外推法0 M) x& ?2 H8 n0 o+ D
Extreme observation, 末端观测值
& d8 D. L: @3 P, a) k; D; kExtremes, 极端值/极值6 i3 S& R( X" [7 G( F6 c% y; Q5 |, W
F distribution, F分布( W( K- J0 K: T
F test, F检验; n# w6 q2 N$ Q2 Q7 R3 ~% F
Factor, 因素/因子$ d7 `2 U$ u" R) {
Factor analysis, 因子分析
8 i! M2 `1 [1 o8 Q1 V* w- i0 rFactor Analysis, 因子分析
% j; f _; |8 l* Y) X: b, xFactor score, 因子得分 6 |, v; M0 Z9 n- {9 f
Factorial, 阶乘1 V1 F$ i) S, t( G n
Factorial design, 析因试验设计: a1 j2 W8 i6 F1 ]. i& F+ l7 W _
False negative, 假阴性; N% e- V' T- o
False negative error, 假阴性错误
6 e% I4 c9 g5 S8 Y% h3 OFamily of distributions, 分布族
9 W& }- N3 P. O' B. e0 p+ UFamily of estimators, 估计量族 O0 X b' _: C) Y; k6 Q
Fanning, 扇面
! T2 J* ^4 E( L f, t6 u9 b. a! mFatality rate, 病死率 r1 P! ~- y" a/ A
Field investigation, 现场调查
5 a' V- @6 x/ ~1 s" G( {+ HField survey, 现场调查
- |5 X1 Z5 ?8 Y! |. Q9 E% fFinite population, 有限总体$ R* i, A/ p& }+ ?* j& P
Finite-sample, 有限样本2 O, ]* A# E/ K! J, J& t
First derivative, 一阶导数- W0 I" N: [' C. V9 m# k$ G
First principal component, 第一主成分+ t! G m7 M5 B3 h8 l' M
First quartile, 第一四分位数6 c$ Z* N; ]3 r, {6 A$ e
Fisher information, 费雪信息量
. ~9 A) }3 Y1 CFitted value, 拟合值8 R' o) z5 Q( w. o* m% r5 r- F
Fitting a curve, 曲线拟合+ R. l/ l9 p9 B8 f% M& Z8 C
Fixed base, 定基
7 u4 t! E2 ^& C5 O) \3 `) mFluctuation, 随机起伏9 Y, g8 K6 N0 s" W5 Q
Forecast, 预测
) U0 }' }8 P9 A; w6 fFour fold table, 四格表2 |7 O! k' Q" _, W, D1 o8 G' Q: E
Fourth, 四分点2 |9 K- D- Q7 U
Fraction blow, 左侧比率! K8 \3 R3 X1 f9 V& c
Fractional error, 相对误差, `, c1 [1 G+ V5 i( U
Frequency, 频率4 W/ k4 r& Q8 E9 T3 `% ~1 W7 b
Frequency polygon, 频数多边图
D/ f& z) y" V& n1 {3 g6 {$ H3 H/ NFrontier point, 界限点, {) Y/ u0 S' x% {
Function relationship, 泛函关系
: ]! W/ c) P: H! H8 t* }9 N- jGamma distribution, 伽玛分布) F l7 |4 n) H' l6 g
Gauss increment, 高斯增量
# ?# Z5 j! A4 h; p) _+ l$ U: C! @Gaussian distribution, 高斯分布/正态分布
4 o% p4 j3 u- V5 w+ Z/ ?9 qGauss-Newton increment, 高斯-牛顿增量( a- E% l! \# z
General census, 全面普查
; g" ~" y, X4 }- B+ n2 b, jGENLOG (Generalized liner models), 广义线性模型 3 x( M, U5 y% `$ B9 y3 m0 C$ B
Geometric mean, 几何平均数
9 V* l3 X. R/ s- z' lGini's mean difference, 基尼均差
- v$ G6 z8 k4 X- P+ f& KGLM (General liner models), 一般线性模型 9 a# E+ V0 C- a- ~
Goodness of fit, 拟和优度/配合度
2 Z, v# S" j3 r& f' u9 yGradient of determinant, 行列式的梯度2 k5 ^9 @2 @# [* V! o$ v
Graeco-Latin square, 希腊拉丁方$ \7 i. b6 d' Y0 h
Grand mean, 总均值
* b$ |+ `, Q ^+ G1 U/ k! `- _Gross errors, 重大错误0 a: z& R' I8 T
Gross-error sensitivity, 大错敏感度
) R. Q: t7 a3 j- I4 IGroup averages, 分组平均
! k* M3 ~% R y" k7 C8 V- ]& l( I* vGrouped data, 分组资料+ p; Q* D/ o9 r
Guessed mean, 假定平均数7 Z# a+ x& j n+ P! t
Half-life, 半衰期
6 x! ^" q- [4 O+ u! |& `Hampel M-estimators, 汉佩尔M估计量
) @9 L6 W# u0 yHappenstance, 偶然事件$ j. T0 v+ x( y+ W |
Harmonic mean, 调和均数1 v( b, Z" B% l4 h) a& q8 Y
Hazard function, 风险均数6 W! f/ T* ]4 b! S* p: n
Hazard rate, 风险率- o' P* _$ O' M# w
Heading, 标目 + w* y0 T/ D* h" l* r
Heavy-tailed distribution, 重尾分布4 `2 J( F) n! w- _9 X
Hessian array, 海森立体阵+ l$ Y$ t7 j' T; N1 f2 R+ S
Heterogeneity, 不同质
6 X: F5 [$ r& R' GHeterogeneity of variance, 方差不齐
# }( d q* [3 Z* y. I2 x: }; VHierarchical classification, 组内分组
( j, V/ }; v3 o: cHierarchical clustering method, 系统聚类法$ s2 B/ n- F. n7 q
High-leverage point, 高杠杆率点
$ c. O/ q8 \- }9 i! gHILOGLINEAR, 多维列联表的层次对数线性模型
U" }" g, S' NHinge, 折叶点
! x, Q: l9 i6 B6 r: PHistogram, 直方图5 c0 x$ ^7 c9 Q0 ^2 r2 a: Y
Historical cohort study, 历史性队列研究
2 b) b+ m2 D2 S9 B' q& xHoles, 空洞6 m7 V7 O5 D0 _* D. x
HOMALS, 多重响应分析
/ @2 ^; |" l4 {Homogeneity of variance, 方差齐性
1 n& W# _( e, \' G7 z# p/ mHomogeneity test, 齐性检验
$ }3 q( ~! p3 Z$ Y" l- |Huber M-estimators, 休伯M估计量
! u; B/ ~; f* H6 s; P4 @, ^5 y7 @Hyperbola, 双曲线* h+ a. \7 W3 B. v' Q A
Hypothesis testing, 假设检验
3 O) x q1 T, F) k0 K. K) e7 O v, yHypothetical universe, 假设总体
- c! U; ~, |4 S7 B$ ~5 y7 lImpossible event, 不可能事件
: z; p" Z* X( s4 A Z jIndependence, 独立性
6 o1 X* }/ `! aIndependent variable, 自变量3 ?" l$ s9 G Q( }/ y* Y
Index, 指标/指数
. ?$ [/ \" L/ \8 _( `9 AIndirect standardization, 间接标准化法
2 x9 L1 {/ M6 n9 dIndividual, 个体
5 w% {; |. ^$ b# r' m1 K z/ `Inference band, 推断带
8 O' @7 B( O! a5 SInfinite population, 无限总体
) \: {, E; @% p/ ^/ G9 K* mInfinitely great, 无穷大
+ R# k7 f, s l/ I" ZInfinitely small, 无穷小$ y, Y% i1 B4 a& u
Influence curve, 影响曲线
' v1 y: s! ~( o1 ^% SInformation capacity, 信息容量
- V& r1 C) ~# [8 ]# PInitial condition, 初始条件, f; s) `' w! f" h% ?$ r1 P( S
Initial estimate, 初始估计值3 R) r( d4 j0 i9 `
Initial level, 最初水平
/ o: ]6 Z5 }' F7 {; xInteraction, 交互作用
# }' \3 s i: o7 P" E6 yInteraction terms, 交互作用项* q( @9 [( h% P# [& Q
Intercept, 截距% i% B5 m% ^! V, b( d1 t
Interpolation, 内插法
9 D1 ]9 F# U0 Q$ }/ JInterquartile range, 四分位距
+ {' w% J' a! N% L: c6 l2 ZInterval estimation, 区间估计
3 l U5 r P+ b% yIntervals of equal probability, 等概率区间# d4 Q* L+ I8 ~! `* ~% }5 N3 T' z
Intrinsic curvature, 固有曲率
, |4 G) L- k. m7 W( s& G. RInvariance, 不变性
, @: A' P+ O5 I! Y& R' ] [5 D7 G; jInverse matrix, 逆矩阵
( K. F8 z2 H+ Y2 l5 gInverse probability, 逆概率, {) p1 D9 |+ w( ]
Inverse sine transformation, 反正弦变换( A+ `* A% `2 r
Iteration, 迭代 - N( h% S4 n, j/ D4 W' n+ g
Jacobian determinant, 雅可比行列式0 x; v* F3 S6 L9 V8 a
Joint distribution function, 分布函数
9 V" g1 Z, }* q' n8 UJoint probability, 联合概率
- r0 u4 o- m( T3 V5 FJoint probability distribution, 联合概率分布
+ H; d) U5 v/ FK means method, 逐步聚类法* b: S2 y; g7 B2 \ m! ]
Kaplan-Meier, 评估事件的时间长度
7 H& Y4 q, Z& q5 E3 [3 PKaplan-Merier chart, Kaplan-Merier图
" @) d" p1 q: oKendall's rank correlation, Kendall等级相关
% V6 R! I8 q' LKinetic, 动力学 i0 T% t$ S7 P: n: O
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验& u* a8 i5 r& a( o9 S7 Y
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验* o5 o# _9 @4 f
Kurtosis, 峰度, i+ g L( B9 r3 x y& o5 y |
Lack of fit, 失拟5 E; g( u: ?/ V& B2 k6 @
Ladder of powers, 幂阶梯$ t+ _# E, F: \% Z& n2 Y5 i
Lag, 滞后- {) H$ \: g" e. \6 U
Large sample, 大样本
J6 H R3 P- O; T j$ z/ J! tLarge sample test, 大样本检验; |" |9 K9 j" q5 s
Latin square, 拉丁方! |2 m# R" x" G( ?9 P0 s# R
Latin square design, 拉丁方设计$ C7 M7 \0 S% f6 H3 c( }- ]/ {
Leakage, 泄漏: w0 ^2 u0 {; y+ r% V
Least favorable configuration, 最不利构形6 X+ G1 ]8 \9 U' |, j% h
Least favorable distribution, 最不利分布
: G V1 r- E) N, S7 s1 cLeast significant difference, 最小显著差法
. D; P6 j) Q) i; J% H# o) ]Least square method, 最小二乘法
7 I- t8 _7 o4 S$ a* RLeast-absolute-residuals estimates, 最小绝对残差估计
) g0 d, Y# r, b' i. {Least-absolute-residuals fit, 最小绝对残差拟合
H1 E3 @0 {6 OLeast-absolute-residuals line, 最小绝对残差线
% b# i @; o7 ?( c' {3 T l* FLegend, 图例1 K4 P- \( t; u( A
L-estimator, L估计量
5 ^1 z5 o2 x& N4 \L-estimator of location, 位置L估计量1 x: Y' D7 O& u5 _$ |$ Q
L-estimator of scale, 尺度L估计量, I/ }4 k3 n2 m3 u! u" m! ?0 o
Level, 水平
- x+ z4 I% v, | `' Y; _Life expectance, 预期期望寿命% r9 b% K3 h; _# L( r8 d
Life table, 寿命表
1 Y$ ~& ~4 o; u1 A1 ~; TLife table method, 生命表法3 p, B. n* U' ^
Light-tailed distribution, 轻尾分布
) T; O7 T& a& r/ b2 v$ K1 hLikelihood function, 似然函数
1 S1 ?, v7 ~) M) QLikelihood ratio, 似然比
1 B# W6 K, I @line graph, 线图6 b0 D3 G0 E7 W
Linear correlation, 直线相关) U/ U8 S7 T, o: _
Linear equation, 线性方程- f. }# e+ G; K8 S& R3 h+ w+ B
Linear programming, 线性规划
/ f A5 s, r% l1 @5 J9 [! LLinear regression, 直线回归6 {8 C6 G" T+ X, [) t, `
Linear Regression, 线性回归
( s, B# S' J, c1 KLinear trend, 线性趋势
" u; N w8 a/ ^8 d, X0 l* `Loading, 载荷 * R7 H: `/ e6 E7 n
Location and scale equivariance, 位置尺度同变性/ R0 T' v6 B, [+ B+ X3 ?
Location equivariance, 位置同变性( _% Q5 f( b: e% a
Location invariance, 位置不变性
$ v3 r4 P$ _1 e( i8 |7 SLocation scale family, 位置尺度族
- u9 W6 @* s, r& h5 }Log rank test, 时序检验
! ]1 H8 J( B5 |, \Logarithmic curve, 对数曲线
+ u# ?! M6 S2 y0 j1 w: GLogarithmic normal distribution, 对数正态分布
; n9 J2 I5 b; d1 d3 [/ mLogarithmic scale, 对数尺度; \8 |5 q: `$ b' o* a" j( R
Logarithmic transformation, 对数变换
1 \* M& \$ R: m/ RLogic check, 逻辑检查
6 B. d# ]8 s) V9 yLogistic distribution, 逻辑斯特分布 {' c1 e) |$ t O
Logit transformation, Logit转换2 u! a; [( E3 C8 c" n' P) k
LOGLINEAR, 多维列联表通用模型
' [ t& ]' Z+ Q! wLognormal distribution, 对数正态分布) o. @% j, j& f- G: D2 m
Lost function, 损失函数
6 q: P! A$ K" v2 gLow correlation, 低度相关$ Z/ v$ G' {$ { _3 y
Lower limit, 下限
; M' t& Y6 p& q4 e5 q, k* k7 nLowest-attained variance, 最小可达方差
7 K2 L4 Y) [7 p1 m7 V ?" M8 VLSD, 最小显著差法的简称+ G. f# H; Z. Y3 U5 T; u: n
Lurking variable, 潜在变量* y/ \6 b. G: q$ ]( |6 h
Main effect, 主效应( _1 \' P& y5 F+ \( P. Z' M
Major heading, 主辞标目
. b( q* V( q# J& ?Marginal density function, 边缘密度函数
3 {3 h( @' g1 O& G" J1 s8 q* ~Marginal probability, 边缘概率1 J5 g. X" [! i2 H% T4 U# l2 \3 d
Marginal probability distribution, 边缘概率分布 B0 D# {/ J( B t
Matched data, 配对资料
, F3 |/ |' Q! YMatched distribution, 匹配过分布) V6 N6 o% _: u, [, e
Matching of distribution, 分布的匹配, f/ b' `* L7 b8 Y. P5 i- f
Matching of transformation, 变换的匹配: ^& q4 S6 y: V/ k
Mathematical expectation, 数学期望! k* H6 z% w7 L7 J: B! B
Mathematical model, 数学模型' \5 X. i* ]5 [0 ?
Maximum L-estimator, 极大极小L 估计量3 P @! u/ | [$ i# b
Maximum likelihood method, 最大似然法
# Q; _6 }( T. P5 d) VMean, 均数
" w1 Q, X, P, {2 {% Z& H: jMean squares between groups, 组间均方
( z3 @( y4 C) [& D& nMean squares within group, 组内均方
1 \2 Z4 ~5 }; g& D: k7 V, wMeans (Compare means), 均值-均值比较. b9 E: L+ b$ i, b, b$ P
Median, 中位数
# Y: c5 A2 y3 t# @2 L) J4 JMedian effective dose, 半数效量% k- b) g: O6 j4 F% X6 k( o
Median lethal dose, 半数致死量1 ?& E# J. k2 W
Median polish, 中位数平滑
2 v8 ^! }0 z# K. |$ w! qMedian test, 中位数检验# y1 m2 q2 a, c4 f
Minimal sufficient statistic, 最小充分统计量; l8 A9 j0 [$ j S8 [' p2 w/ x
Minimum distance estimation, 最小距离估计
# J* B4 ^9 B, lMinimum effective dose, 最小有效量5 ]) U" `1 q+ x& M! a- ?( ~) l. J' {
Minimum lethal dose, 最小致死量
" u" U3 c# O& b$ qMinimum variance estimator, 最小方差估计量
3 w1 Z! l5 _) c! n0 P6 G7 L; GMINITAB, 统计软件包& q. A ^5 C) z8 g0 w6 P. k+ C q7 K
Minor heading, 宾词标目
& F" q+ P& q% {( \Missing data, 缺失值9 A! { f" t! Q! H
Model specification, 模型的确定1 V4 r; P; H) N0 O; P! x+ _0 _
Modeling Statistics , 模型统计8 l5 c+ |* C" q, D: D5 _
Models for outliers, 离群值模型
8 `0 N8 Y; w# J% ^* |$ {( Y5 ]+ lModifying the model, 模型的修正
/ o, [% P: o0 d; t5 e( K2 lModulus of continuity, 连续性模. `7 C! o9 a. \* \" | J
Morbidity, 发病率
& H- m3 }/ _ b% u2 fMost favorable configuration, 最有利构形9 K! _$ f2 }8 {9 b
Multidimensional Scaling (ASCAL), 多维尺度/多维标度% D8 I. y) Q& Z# j4 n
Multinomial Logistic Regression , 多项逻辑斯蒂回归3 O) N0 d& y# }
Multiple comparison, 多重比较, ^( u8 E/ [0 z0 |" X
Multiple correlation , 复相关 A0 a' T4 D! V2 G* G! _1 [
Multiple covariance, 多元协方差3 k7 u+ A3 J( \. L
Multiple linear regression, 多元线性回归
" s7 |- Z; ]. q( z$ U- F( bMultiple response , 多重选项, y4 Q* A. a, i% E+ c- v0 d: A- l
Multiple solutions, 多解
. O6 G* F) U+ LMultiplication theorem, 乘法定理
/ H/ ]0 o7 Y. f: `% ]( IMultiresponse, 多元响应
0 P* a; V& R3 d4 s X1 dMulti-stage sampling, 多阶段抽样
$ N; F7 @8 v8 `# UMultivariate T distribution, 多元T分布
* ] U/ O+ B2 }* }8 N- EMutual exclusive, 互不相容
" R5 L/ d: s6 a. E1 C4 I3 SMutual independence, 互相独立
0 S0 [$ _% y g+ A5 \' fNatural boundary, 自然边界
: |; m i6 W! i+ a$ N5 y1 BNatural dead, 自然死亡
" B( K. @* q9 I/ _$ `( DNatural zero, 自然零
1 N" m4 U- ~; K# i, ?6 eNegative correlation, 负相关
& l" x$ n! z; e' \ SNegative linear correlation, 负线性相关
6 ?5 o1 K' k6 v; JNegatively skewed, 负偏
. O, I/ @( P# t8 _& K4 _& D# lNewman-Keuls method, q检验
3 |& X. y* l. eNK method, q检验, q; S8 D6 c. Y* N" y' o
No statistical significance, 无统计意义
+ ~ D4 D- K& ~" C2 wNominal variable, 名义变量: r6 p. U/ M' |9 G& [* ~4 Z
Nonconstancy of variability, 变异的非定常性( P2 _3 O( U4 }) s' R
Nonlinear regression, 非线性相关
/ D+ h% D) V0 p' u0 `) yNonparametric statistics, 非参数统计7 _5 n) ~& ?* @$ z
Nonparametric test, 非参数检验6 o s! |( q& x8 T
Nonparametric tests, 非参数检验
5 r2 M& {3 m3 |% W' A( BNormal deviate, 正态离差
: U+ a s5 T" N( r) s/ cNormal distribution, 正态分布
% T3 R7 v- q2 yNormal equation, 正规方程组8 }' s1 ?( a( x/ \
Normal ranges, 正常范围0 H v4 J( X8 N/ F
Normal value, 正常值
3 A, N6 V0 b2 q9 z3 U* wNuisance parameter, 多余参数/讨厌参数( M- J, \1 A. r2 i) F8 Y
Null hypothesis, 无效假设
1 e( \3 \" y' vNumerical variable, 数值变量
6 B5 @' K# E5 Z) o$ D3 PObjective function, 目标函数
! A" Z! q) V2 hObservation unit, 观察单位! T. G2 e R; B+ J# i0 y
Observed value, 观察值
1 X' P0 }2 m. B: }One sided test, 单侧检验5 e) t( d( h- k) u( O* I4 A. i: d+ b
One-way analysis of variance, 单因素方差分析
$ G+ Q4 P6 h2 G$ COneway ANOVA , 单因素方差分析$ |2 F( t4 t% N
Open sequential trial, 开放型序贯设计9 E2 S. }# D) ^3 y- w3 }9 N
Optrim, 优切尾
! H j; c- O5 L# f" I9 j6 ]& B$ ROptrim efficiency, 优切尾效率
0 I9 Y, x+ I2 d+ IOrder statistics, 顺序统计量' V. w X6 ]$ G: U" ^, Q5 U9 M
Ordered categories, 有序分类
+ k6 ]! ~( T! i6 {" oOrdinal logistic regression , 序数逻辑斯蒂回归, U+ q/ M. j5 {! f
Ordinal variable, 有序变量
9 _0 }1 K/ S7 U% q/ ?! fOrthogonal basis, 正交基
3 ~* b- D; X1 y; A9 B( V$ _Orthogonal design, 正交试验设计3 c/ p/ F! ^$ R) \% Z
Orthogonality conditions, 正交条件0 j4 A/ H$ O& d9 R4 n! |
ORTHOPLAN, 正交设计
5 Z+ R" a& {# _( s4 _/ r7 cOutlier cutoffs, 离群值截断点+ J; P& V& K# @! ^- W# v
Outliers, 极端值
; J& M, i+ I8 ]: ~- sOVERALS , 多组变量的非线性正规相关
) Y( u" n$ i) P% Y" ROvershoot, 迭代过度- ^# x, x6 E; Q" A; Q
Paired design, 配对设计
% {: n2 y& n7 j* QPaired sample, 配对样本0 X' s' i) B% ^* h
Pairwise slopes, 成对斜率
) U1 c# u2 O6 L% a0 ?Parabola, 抛物线
8 |4 s+ X5 Q8 j X- t+ TParallel tests, 平行试验
8 V: |4 ^4 P1 S# X9 @Parameter, 参数
6 M6 A+ ]- X/ x% Z& eParametric statistics, 参数统计1 f$ X8 Z: G- H5 O+ v7 @9 v
Parametric test, 参数检验
0 h; W. o0 Q j; H8 h! w6 _Partial correlation, 偏相关& s A1 s# D: m$ N
Partial regression, 偏回归8 j r4 W" a3 Z( w. g
Partial sorting, 偏排序
?* W3 m" y$ A' SPartials residuals, 偏残差
W9 J! `9 V3 |3 `Pattern, 模式" }* M" N' m( g/ j2 @7 L0 r; K
Pearson curves, 皮尔逊曲线: ^) `5 S) F; h9 X+ Y
Peeling, 退层
& d6 _: |8 K: P% ^" ?Percent bar graph, 百分条形图9 @& k+ |9 ~8 [3 a0 B) i* }
Percentage, 百分比* V z+ ?3 D3 d& q( y" x
Percentile, 百分位数
+ Q9 o5 O9 s4 u. p ~" Y$ s! tPercentile curves, 百分位曲线
7 y8 a" a, l) A/ HPeriodicity, 周期性4 E5 O& a, m9 N# m! c6 l+ |8 Y/ M
Permutation, 排列5 X4 B$ _" ]2 I2 O: B- P: ^& g
P-estimator, P估计量
8 {4 T/ W+ Q/ c6 x6 iPie graph, 饼图 g) W; A& h" G, H3 m- h& Y0 X0 u
Pitman estimator, 皮特曼估计量
7 j+ Y& R2 ^* E8 f V2 fPivot, 枢轴量
T! D! X7 _% u$ l+ \/ e$ b6 LPlanar, 平坦6 U+ G! C5 w7 S+ F R# \. j
Planar assumption, 平面的假设
( X' n E0 t$ L8 l. oPLANCARDS, 生成试验的计划卡
1 ^& R1 K; h$ p& k: h7 U- _Point estimation, 点估计
% u6 [! m- r. JPoisson distribution, 泊松分布
1 C; a) \# W. h* V; I" [+ D* cPolishing, 平滑. K' k2 D# u. h; _: N
Polled standard deviation, 合并标准差* `3 ], k& V$ m1 y
Polled variance, 合并方差
2 S4 n' f' I0 A# J. QPolygon, 多边图& \3 ?5 ~; M' n
Polynomial, 多项式
5 x$ v) _' i; B+ [( }Polynomial curve, 多项式曲线
+ ~' {& f5 {! j vPopulation, 总体! Y* v& P8 }' w
Population attributable risk, 人群归因危险度& @, x! A1 Q L
Positive correlation, 正相关
; \9 ~ c4 n9 {Positively skewed, 正偏/ M3 h1 C, g' @% V f
Posterior distribution, 后验分布
8 @# c# ] H2 J5 B$ u CPower of a test, 检验效能$ p: t4 |; R; u. F0 J% B% @
Precision, 精密度
0 _; [% [/ M1 ~- K' UPredicted value, 预测值. u# H, N. B8 T; H$ D0 F
Preliminary analysis, 预备性分析
" j5 {& y" _+ z+ d. ? bPrincipal component analysis, 主成分分析, s+ {; j! y3 `: @+ T8 p
Prior distribution, 先验分布
% C9 ~% @" C) a4 Y4 A% M8 O3 _5 HPrior probability, 先验概率* V- `4 W V' y! P9 h2 [) p/ k
Probabilistic model, 概率模型: k& h4 W9 k4 z+ Y) X1 g
probability, 概率
* E, ?" q$ q( }, E9 }7 yProbability density, 概率密度! R; p! b9 L- b+ Y
Product moment, 乘积矩/协方差" V0 } P9 ?" W
Profile trace, 截面迹图
8 u; @' l+ [6 \# A1 mProportion, 比/构成比
, b/ x+ l7 N% u5 ?. \- k5 wProportion allocation in stratified random sampling, 按比例分层随机抽样: S- \+ S+ `* @9 m
Proportionate, 成比例
5 ~2 A- R- E7 w" x- Q8 O& ^Proportionate sub-class numbers, 成比例次级组含量
1 U/ j+ ]% r5 [# K- |5 r$ _Prospective study, 前瞻性调查0 w3 P" Y' q; `0 K; t
Proximities, 亲近性 " S3 F/ `" M2 X% K% D' ~
Pseudo F test, 近似F检验! c4 [. r5 |$ Q& y g, S7 M
Pseudo model, 近似模型# J2 S2 I# Z, R4 I. f" c( w7 ]
Pseudosigma, 伪标准差
$ n; l! w& j0 c* K; ePurposive sampling, 有目的抽样. _2 C3 E! Q& L5 b0 [/ I3 D& ~
QR decomposition, QR分解. ?7 F4 F- u/ p
Quadratic approximation, 二次近似
$ E0 ] g% r1 ^# o+ eQualitative classification, 属性分类
, F! F9 V2 j8 l" \- j/ J" pQualitative method, 定性方法
( L* F% h5 m/ q9 ]1 rQuantile-quantile plot, 分位数-分位数图/Q-Q图" C8 Z+ H8 R: z
Quantitative analysis, 定量分析0 k X$ C( g/ M8 F y" I& R7 F
Quartile, 四分位数# ^# P# P. B5 r( d. F N0 X
Quick Cluster, 快速聚类
( F. T8 ?# m" l! U1 |* X$ ]Radix sort, 基数排序3 U) W, n* N. K- ]6 B
Random allocation, 随机化分组
0 t" r* D0 R+ w, P1 y* uRandom blocks design, 随机区组设计
/ s+ L7 J8 r+ r* H! gRandom event, 随机事件9 v2 P3 [3 P" s( W: ^( `& ^, ?
Randomization, 随机化6 j" N4 c# x% {: e' [. _( v
Range, 极差/全距
l+ x, Y, c, d* j$ J$ dRank correlation, 等级相关
' U% j6 ]7 \* V {! n! h/ ^9 ~Rank sum test, 秩和检验" x; \2 S* J# e" s
Rank test, 秩检验! V4 \2 V8 X; p. \" ]
Ranked data, 等级资料
# l: Z- C+ v6 d. c# ]% j5 u1 yRate, 比率 u$ e% p; ~2 f$ X- ]
Ratio, 比例6 |9 `" }0 g- o0 ]
Raw data, 原始资料
' h2 k6 k1 `1 x% p8 CRaw residual, 原始残差, e4 J8 b* N& c, p% } u
Rayleigh's test, 雷氏检验
% U! Q4 P9 {1 m" p iRayleigh's Z, 雷氏Z值 * p B$ _. k. l" p7 w
Reciprocal, 倒数
3 K0 `' e2 k# m8 ?/ MReciprocal transformation, 倒数变换
6 y) {4 C9 p$ j3 L- ~, S! XRecording, 记录
: D* Z+ M# A; Q' D8 z, nRedescending estimators, 回降估计量
3 J" h7 p* v8 {Reducing dimensions, 降维
3 J8 P& s5 d3 |1 }( B |Re-expression, 重新表达5 v2 H t' j! O" j
Reference set, 标准组
6 \; G; s6 P& Z: [Region of acceptance, 接受域
) j8 r" d9 i6 ^3 G2 T6 \ XRegression coefficient, 回归系数
! h. n4 L$ w4 a M6 wRegression sum of square, 回归平方和6 W" n4 U1 l8 ?
Rejection point, 拒绝点
1 X- D" f% U4 r5 tRelative dispersion, 相对离散度
$ X1 Y2 I/ \5 m/ Z! Q8 T, sRelative number, 相对数) [" w0 @% ^7 b; u
Reliability, 可靠性2 s; Z; h4 ~8 j6 m* Y9 v5 b& N" {
Reparametrization, 重新设置参数$ x7 g# S4 i$ o
Replication, 重复. r" c, \$ O& b+ a2 G c1 t
Report Summaries, 报告摘要5 d& e3 E( Q0 F `) m
Residual sum of square, 剩余平方和# l8 U; |" P2 O0 s) Y. z3 p! w
Resistance, 耐抗性# d7 \) Z' w. ^9 }* M4 Q0 p
Resistant line, 耐抗线
& c: @. k2 F% X0 G( l- G. s3 Z: vResistant technique, 耐抗技术6 i h9 k2 K2 Q# t. A. @! X
R-estimator of location, 位置R估计量5 k9 m) y2 l) M) z
R-estimator of scale, 尺度R估计量
! l w$ b6 H# t. \) `0 H( KRetrospective study, 回顾性调查' I8 F0 y# @4 }! F
Ridge trace, 岭迹) ?; i2 c' d* j/ Z% R0 m% a1 [
Ridit analysis, Ridit分析* @* C6 d- z+ e
Rotation, 旋转" d+ j. e! W9 }' u3 F$ c0 Q
Rounding, 舍入: T0 z( A9 F0 O B. J
Row, 行
* ?" M3 |& N2 ]' J9 nRow effects, 行效应3 F% s/ g" _) v- O
Row factor, 行因素% u1 s3 z: N# I+ w6 }
RXC table, RXC表
* ^( d. d' q0 F/ }" [Sample, 样本5 {3 U+ ~, `+ c6 `
Sample regression coefficient, 样本回归系数4 _8 x3 f- @& V$ P
Sample size, 样本量
$ _" ?& {7 V9 ]* F1 B. jSample standard deviation, 样本标准差
) ~& \1 T+ g8 W# D3 {2 qSampling error, 抽样误差
1 q# ?( a( ?- b/ w# ~SAS(Statistical analysis system ), SAS统计软件包
$ \' l2 u5 p" c' a$ eScale, 尺度/量表2 n: P9 ^/ Q# C2 s5 s/ i/ t
Scatter diagram, 散点图
& j5 x. a4 P; ~3 q4 e3 W3 XSchematic plot, 示意图/简图4 k/ k ?% r+ D6 p9 V1 D
Score test, 计分检验; `. s g: {1 ?) L1 ~
Screening, 筛检 f2 Z3 {# w9 ?
SEASON, 季节分析 5 t/ t8 V! a$ J# l# A3 z
Second derivative, 二阶导数$ D# N T+ L4 J3 K7 D5 y* c( H
Second principal component, 第二主成分
) ]( ]0 _! D+ s3 |! @* ]SEM (Structural equation modeling), 结构化方程模型
& G; \7 ^5 s+ d4 l' W! VSemi-logarithmic graph, 半对数图
5 M& l0 G3 ]; k; V, w2 j4 mSemi-logarithmic paper, 半对数格纸6 a3 b" w. U$ y
Sensitivity curve, 敏感度曲线+ |* w5 o, c3 `2 E
Sequential analysis, 贯序分析3 ]) a1 o# H, X @: `6 s/ m9 L( f
Sequential data set, 顺序数据集6 H; g6 ~+ a+ P# F# d" M
Sequential design, 贯序设计
0 G* \: Z- P7 S7 N3 w+ ]' xSequential method, 贯序法' d/ i) ?. K% d8 Y1 b! O. f
Sequential test, 贯序检验法" d3 {3 t" T% U L, {$ v! Y
Serial tests, 系列试验5 R: Q8 d+ _% v$ }5 a: _
Short-cut method, 简捷法 e$ M3 A4 q Z9 V2 P ~# w
Sigmoid curve, S形曲线
7 p1 w6 T6 H8 {8 I* X9 S* E! NSign function, 正负号函数' R' ~5 \3 r/ D
Sign test, 符号检验& H3 I$ ^* F4 ^+ p+ b
Signed rank, 符号秩/ A- _; x" A E3 T/ C
Significance test, 显著性检验$ L/ D8 \/ h" H
Significant figure, 有效数字" i E# |) o" Z5 {+ v. v/ E
Simple cluster sampling, 简单整群抽样 O! m, W9 n% R. [$ {# q
Simple correlation, 简单相关
$ C' N" d! O1 `2 m* ^Simple random sampling, 简单随机抽样1 t/ ?6 O( h; C8 x6 E
Simple regression, 简单回归
3 S) i0 F; \- y8 c6 I. U! ?: Zsimple table, 简单表, G" W& Z2 `3 c" q9 \: m# Y; g
Sine estimator, 正弦估计量
3 y5 {1 ?! `' z4 S* m1 _Single-valued estimate, 单值估计. p; W$ |- b* n' v
Singular matrix, 奇异矩阵
3 g0 ]$ r7 e8 ?2 E& f% L4 d, cSkewed distribution, 偏斜分布
5 R0 b7 `' f0 X2 N5 T ISkewness, 偏度
9 P$ p, w0 d6 g6 T @Slash distribution, 斜线分布
) g( m' n4 C9 [' ~. uSlope, 斜率
( O2 c: S6 J0 ]/ [: LSmirnov test, 斯米尔诺夫检验
$ E0 h/ w# O, j T. y2 KSource of variation, 变异来源
! R8 X$ }/ h4 @Spearman rank correlation, 斯皮尔曼等级相关 e* H1 L1 Y# R1 A) Z( W
Specific factor, 特殊因子
! Z- f* I% U; d1 m0 s& x+ [Specific factor variance, 特殊因子方差
- _5 a1 `' a2 }; X4 a! mSpectra , 频谱
8 h' v y0 ?8 Z9 z7 i; ]. W$ ISpherical distribution, 球型正态分布
' |+ ~9 n' O) D8 `. }; _ [Spread, 展布
. s/ `9 G% e) ?: a9 M( a( q: vSPSS(Statistical package for the social science), SPSS统计软件包2 @' O7 {( N i; r% U6 Y+ a3 }
Spurious correlation, 假性相关
\& s7 u% F4 o }' i2 q0 |Square root transformation, 平方根变换) Z7 v3 w9 r# t" p; D- f
Stabilizing variance, 稳定方差
( A) l- A- _: O3 ~Standard deviation, 标准差9 l( c0 q4 C+ J# D" m: R
Standard error, 标准误( [* l9 o5 E! k' e8 v
Standard error of difference, 差别的标准误
. M$ F8 m. g, z5 Q$ ZStandard error of estimate, 标准估计误差
$ ?9 E. [" F! k: z8 vStandard error of rate, 率的标准误3 ]% E/ W$ L. y# Q5 R( ?
Standard normal distribution, 标准正态分布
$ Q( Y2 N. f; B4 n- k- i7 NStandardization, 标准化0 _0 T) [; p6 H2 T4 U W, U: t8 H
Starting value, 起始值
a" ~9 h U( Q1 B, N9 fStatistic, 统计量
9 I Q3 }! S8 U* m, ?6 OStatistical control, 统计控制$ S& ?3 Z3 S0 I+ f N, j- U
Statistical graph, 统计图# n I$ z; w0 F) X1 N
Statistical inference, 统计推断7 e* {; b1 _4 e1 f) w
Statistical table, 统计表
' k; C, k3 \4 {4 V; z( M: l3 \Steepest descent, 最速下降法
/ P; q9 h8 q* f q' ?Stem and leaf display, 茎叶图2 W6 W2 f5 _3 V
Step factor, 步长因子
; }! Z2 J% X% X" F O# z* tStepwise regression, 逐步回归( M- K9 }- Q3 h# X
Storage, 存* c. P9 s$ M+ t3 I/ G: F
Strata, 层(复数), r# Y4 P% @, p$ i5 ^& U! [7 [
Stratified sampling, 分层抽样4 v" U- _9 M; c) C+ b, _' q% a
Stratified sampling, 分层抽样
; R% J) ]' M; G+ R- |Strength, 强度
, l' {7 o' ?4 ]8 p+ AStringency, 严密性
( t- ^: V! j w; c5 O8 QStructural relationship, 结构关系4 q6 f1 y' ]# [) m+ R
Studentized residual, 学生化残差/t化残差! G# v% p6 W! B
Sub-class numbers, 次级组含量
* ]( n5 Y- m8 A( zSubdividing, 分割8 d4 B' @1 G; e/ F0 g! K" [
Sufficient statistic, 充分统计量
) R1 _, l* B2 `, i; @$ |Sum of products, 积和
* X5 A! G- R% p' qSum of squares, 离差平方和
! W, m' C+ J' I) M' pSum of squares about regression, 回归平方和: R% J& S$ x& h5 A7 X' B4 F
Sum of squares between groups, 组间平方和* p) w- j/ A- G) _& y
Sum of squares of partial regression, 偏回归平方和
3 v5 o$ b, m/ x$ y; z0 OSure event, 必然事件
6 J- _. h6 ~- }3 b2 D# wSurvey, 调查
! Z- p9 l; {; G G% s9 l3 D- s: zSurvival, 生存分析# r: H& @7 C' i( O: u; c' B
Survival rate, 生存率7 V) l& }6 `; z. B
Suspended root gram, 悬吊根图% z4 B. [7 t: C Z. S
Symmetry, 对称. _2 R: D; }% ^0 u1 M4 y% t* E8 _ j" b
Systematic error, 系统误差
" Y; x) t* ?; ~& I' _2 TSystematic sampling, 系统抽样/ L) z& n8 b I3 r$ }! }2 {
Tags, 标签* b0 D4 M% V4 b) G- T
Tail area, 尾部面积
1 c& j% x4 a( A8 D: L/ ]Tail length, 尾长
% C" e+ U! r* h4 T* J. zTail weight, 尾重
$ z1 t6 Q/ t7 {) t, p8 g. ITangent line, 切线. ~) b( `- R4 f0 L: G! ?
Target distribution, 目标分布
8 h) P3 j* y* W4 k0 G; ^. yTaylor series, 泰勒级数; v2 C# [1 F4 Y" f+ w \& M$ z
Tendency of dispersion, 离散趋势
- c) o" F0 P" c+ F2 sTesting of hypotheses, 假设检验
) a+ J* {% I' [9 q6 \Theoretical frequency, 理论频数% ~2 Z+ A# |% D% H" w
Time series, 时间序列
F6 e# R6 q% W4 Y# |0 M0 [Tolerance interval, 容忍区间
; z! F/ b. U8 v$ o$ DTolerance lower limit, 容忍下限+ g" b6 |' j. L* N
Tolerance upper limit, 容忍上限
/ G5 {' C* \( o4 U. |5 ATorsion, 扰率: U+ ]" l, F; t- U$ v7 V: d
Total sum of square, 总平方和 F& {9 l$ |( ?6 ~4 h. ]& a
Total variation, 总变异
2 ~+ }8 p/ \& mTransformation, 转换
8 q/ ?, j2 ]7 XTreatment, 处理
# S0 o4 s& x1 ETrend, 趋势
2 N7 U) h. B2 P0 ` w' S* m h7 M3 iTrend of percentage, 百分比趋势
* K; w* p6 b" t$ ~4 _4 I5 }Trial, 试验
Q+ W! }' q% e" T' aTrial and error method, 试错法
+ K7 ~/ P: |* D* p/ R* P% jTuning constant, 细调常数
8 ?& y4 F" E9 k, g: B4 ^Two sided test, 双向检验7 ` B" C- _; p
Two-stage least squares, 二阶最小平方
4 v, m8 @( G1 W) L0 v0 S! yTwo-stage sampling, 二阶段抽样
: v- Y5 r+ d: l+ t. t3 pTwo-tailed test, 双侧检验
1 @+ H! H, @8 k; q% ^1 V" lTwo-way analysis of variance, 双因素方差分析
4 a! ?6 x; e i M- ~( F! ETwo-way table, 双向表9 m) B4 u3 M7 l4 ^/ e. t$ j
Type I error, 一类错误/α错误- D4 m- W% _6 ^3 D& {+ c1 Y
Type II error, 二类错误/β错误# B7 ?* u% V2 v/ | r' S
UMVU, 方差一致最小无偏估计简称* F* [0 \) v* K/ E$ v
Unbiased estimate, 无偏估计
3 _6 l! E @9 AUnconstrained nonlinear regression , 无约束非线性回归
# e) `, ?7 b9 p/ ?1 dUnequal subclass number, 不等次级组含量% h5 p% A6 P5 c" Q0 Y7 f
Ungrouped data, 不分组资料' R5 M! A2 l2 h$ J
Uniform coordinate, 均匀坐标
2 l# v/ y( l* a9 H& MUniform distribution, 均匀分布
. J( |, D: \+ K: ]% ]# h) |8 |Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
l& Y' ^" C Y) W% vUnit, 单元& n8 f+ i; d( T* w5 h8 p8 ^
Unordered categories, 无序分类% N# Y; X1 h3 E3 p6 Y7 C
Upper limit, 上限
# O7 n- ^4 [# C. Z! O$ tUpward rank, 升秩
! a2 }( j7 u; @ `! ?- }$ Z1 x$ AVague concept, 模糊概念# z& u! b- c3 B7 K7 P! |. D
Validity, 有效性
- R! \. [ J9 JVARCOMP (Variance component estimation), 方差元素估计
, O& \: e6 N" G- z; ~Variability, 变异性
4 i h; b: v- T/ {Variable, 变量
' Q% S7 `" S2 p: uVariance, 方差" ^( G* a0 [' c1 Q, E! B
Variation, 变异
/ W* f7 Q9 `" y( `# EVarimax orthogonal rotation, 方差最大正交旋转0 i) V1 P! @9 k, a5 V. S: M
Volume of distribution, 容积
0 D, z. J- ~8 RW test, W检验$ i7 G2 C% p7 s; Y/ @! h/ B$ e
Weibull distribution, 威布尔分布
' G$ W, U/ z; \* F4 fWeight, 权数8 {( |' {3 E- ]9 l
Weighted Chi-square test, 加权卡方检验/Cochran检验
[2 u b6 j2 j4 S# n4 D9 H' iWeighted linear regression method, 加权直线回归0 D x7 D; M: g7 C
Weighted mean, 加权平均数
! l$ a% T& N& D f6 MWeighted mean square, 加权平均方差, ]. q" Q! t/ {* U! u# J* z
Weighted sum of square, 加权平方和
1 p% T) c- ^! m& r1 p a8 rWeighting coefficient, 权重系数% ^9 E* X; i9 e* _# X
Weighting method, 加权法 , N0 p6 A4 U9 f! ~. ]
W-estimation, W估计量
5 M% ^ Q9 D2 W# O. KW-estimation of location, 位置W估计量
1 H) A) l6 V2 `0 Y3 \. KWidth, 宽度
* Z2 z5 S8 P% P- k# _8 Q6 QWilcoxon paired test, 威斯康星配对法/配对符号秩和检验* M, b$ Z! @+ _, D
Wild point, 野点/狂点
& _* j/ y* W( q- K, k7 VWild value, 野值/狂值
( o2 l; j# C0 U$ NWinsorized mean, 缩尾均值
4 d: K0 O* d% P+ M3 m, jWithdraw, 失访 : A" [0 J9 {8 \ Z r( q6 A+ X
Youden's index, 尤登指数. V+ M( Z& c. e1 w B) F! l* F8 J, F
Z test, Z检验
. J, [6 z5 j" @. y# t5 F) }. l* ]Zero correlation, 零相关
$ O! `7 {* L* ]& G6 HZ-transformation, Z变换 |
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