|
|
Absolute deviation, 绝对离差* i# ]" ?/ \* X8 b
Absolute number, 绝对数
& A! i% Y# }2 [# x/ B) K$ I8 \Absolute residuals, 绝对残差
9 r/ j% c) o" c/ O4 E8 aAcceleration array, 加速度立体阵8 p% w9 E8 z! d C9 a0 x; q. {) Z
Acceleration in an arbitrary direction, 任意方向上的加速度3 Z* u% \5 O) d% B2 R% m
Acceleration normal, 法向加速度) @4 h% K: r8 t h
Acceleration space dimension, 加速度空间的维数. b, \5 G( @* D. _% r5 ~3 Y L
Acceleration tangential, 切向加速度
2 f2 z" f z( i+ w/ LAcceleration vector, 加速度向量* e- h, S% n7 L3 O
Acceptable hypothesis, 可接受假设
; y( n7 Q2 q- @* X! Y4 a( l" ]Accumulation, 累积
9 k3 V! z, ?0 x, Y$ Q% `Accuracy, 准确度
) p: [ P9 ^* o5 \1 y: K* I4 K! ZActual frequency, 实际频数 |6 m% I8 n1 y q
Adaptive estimator, 自适应估计量
; G! q, Z9 ^3 N: S/ }8 ]/ x7 kAddition, 相加9 q8 d* |5 \# @ A
Addition theorem, 加法定理
" g- w6 `, y8 ^4 Y/ `Additivity, 可加性
1 ~7 f9 A* S0 \' a+ |# QAdjusted rate, 调整率
0 v9 ]& H9 t0 b6 S! h# CAdjusted value, 校正值3 ?- U4 L; S. B4 U
Admissible error, 容许误差
: T, H6 x) h" r# R, ]' oAggregation, 聚集性8 o% T: E; j1 x- J! N$ Z/ [( R
Alternative hypothesis, 备择假设
1 Z, J: K, [# rAmong groups, 组间$ y- R$ t; a, V- G: Q
Amounts, 总量+ Z+ C7 g, h% O2 }- Q
Analysis of correlation, 相关分析
r8 J- ?: y& U* F5 dAnalysis of covariance, 协方差分析% P1 b+ H% e: Q0 f" b( |
Analysis of regression, 回归分析
3 j8 h% E+ [) N2 e" @) oAnalysis of time series, 时间序列分析" k% X3 z/ L% y5 |( c
Analysis of variance, 方差分析* X+ g7 x2 _& g5 U8 _
Angular transformation, 角转换; D" ~1 z! d( [/ }4 ~( P
ANOVA （analysis of variance）, 方差分析
# ^- K6 K. `3 [# |5 oANOVA Models, 方差分析模型
& e& w" M3 {8 Z( ]0 R2 T: oArcing, 弧/弧旋
. p* q, b5 ]0 T$ TArcsine transformation, 反正弦变换" @0 [# M! C! i5 r, W: k
Area under the curve, 曲线面积
! T7 e4 n1 o0 I& i, _" X* [AREG , 评估从一个时间点到下一个时间点回归相关时的误差
+ a* K3 o+ d+ xARIMA, 季节和非季节性单变量模型的极大似然估计
) U1 o5 g' p& {# t: q) TArithmetic grid paper, 算术格纸
' y% L" Q. J6 q, D0 XArithmetic mean, 算术平均数
; P; m+ s1 | r/ W" b2 n6 ~2 ^Arrhenius relation, 艾恩尼斯关系: p3 {6 q7 k8 W7 E0 q
Assessing fit, 拟合的评估
% ^2 |8 s) y* A+ e' G4 T& OAssociative laws, 结合律
) L$ H6 |, O/ W+ cAsymmetric distribution, 非对称分布
6 u% `- _$ H9 P- `Asymptotic bias, 渐近偏倚6 t) ]# Q3 u4 ]% S& G# v/ O
Asymptotic efficiency, 渐近效率
7 \ y6 _ Q2 ~% ^Asymptotic variance, 渐近方差
) o/ w/ y9 P }7 `) V' {1 h& f: sAttributable risk, 归因危险度3 u3 u% _: i, `3 C
Attribute data, 属性资料" V' i( D7 Z9 A4 X p9 C4 Q& i( O
Attribution, 属性
4 X) ^- n' C' R, v" v$ ]Autocorrelation, 自相关
5 P: M( q2 @$ w, c' dAutocorrelation of residuals, 残差的自相关
) y7 k# c+ V) rAverage, 平均数% I4 X* h1 ~7 _) @2 r; q8 `
Average confidence interval length, 平均置信区间长度
b' g' ]( x6 a+ g9 lAverage growth rate, 平均增长率' a; c4 P1 N! t! m1 o
Bar chart, 条形图
# t4 E/ D5 ?+ q T* R+ I1 eBar graph, 条形图$ }, C8 N. z" ^9 S1 T
Base period, 基期$ l/ p, H3 H$ J: C9 G `- T
Bayes' theorem , Bayes定理
3 H! X; Z7 U4 D7 {# {/ LBell-shaped curve, 钟形曲线
4 _: Z7 B4 p S# R! ~4 m1 pBernoulli distribution, 伯努力分布
% W1 M5 z, e7 [5 A+ rBest-trim estimator, 最好切尾估计量
4 u9 q( J5 Q0 o8 u! b- r5 Z. {( FBias, 偏性8 m5 Y4 a: Y4 n8 B" a, [, R* y# y- R
Binary logistic regression, 二元逻辑斯蒂回归
# s5 Y# \! o1 C, ]Binomial distribution, 二项分布
# N* X2 K6 S( _8 R hBisquare, 双平方- l2 ?& t; H- f
Bivariate Correlate, 二变量相关
8 `9 S8 n- s5 A5 rBivariate normal distribution, 双变量正态分布
) @6 `* c6 t; J* SBivariate normal population, 双变量正态总体
+ m' r. y7 }1 o2 iBiweight interval, 双权区间) ?; d5 d5 |6 a, P& F, c: T
Biweight M-estimator, 双权M估计量/ L$ b" H0 v1 y4 J; O: G
Block, 区组/配伍组8 @* c( y! O/ `1 I
BMDP(Biomedical computer programs), BMDP统计软件包
# P0 R4 o! K$ L' A/ | TBoxplots, 箱线图/箱尾图
- k( x* x( Z& L, h+ ~Breakdown bound, 崩溃界/崩溃点# K0 [2 b( Z+ Q5 g' q
Canonical correlation, 典型相关
$ L) U" p7 s6 _Caption, 纵标目& v: z. V: b! ^; n" v4 ~2 H
Case-control study, 病例对照研究
5 r1 o* Z4 S9 h# q7 sCategorical variable, 分类变量1 E/ D' r) Z8 r, z; K
Catenary, 悬链线' x4 p! [: W* V0 d
Cauchy distribution, 柯西分布. Z! E% W' R1 E7 a9 C& b
Cause-and-effect relationship, 因果关系
0 d. R5 G7 r0 l' [& s5 JCell, 单元) c# M$ F, B7 d
Censoring, 终检8 l9 a8 I1 b9 Z l- j$ N s2 |' y* a( i
Center of symmetry, 对称中心
3 b7 M) E8 q; k: d9 fCentering and scaling, 中心化和定标" t5 R2 f6 r- y' n* q6 K
Central tendency, 集中趋势
8 `* E i4 h' n" L/ ^& Z& U: n( qCentral value, 中心值
5 v. l; L' `6 T S+ b" aCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
! f- ?5 Y: w2 G0 j" R8 G* `- UChance, 机遇 V e0 j _+ R. O
Chance error, 随机误差" k6 S; B! L; A% M+ T
Chance variable, 随机变量/ _8 F7 P( I; P" |6 G) l6 [
Characteristic equation, 特征方程
1 s4 }5 Z. @% ^8 R6 p, w, mCharacteristic root, 特征根* _7 s* d! K' R, O
Characteristic vector, 特征向量) S: S9 ]4 ~4 c
Chebshev criterion of fit, 拟合的切比雪夫准则. @* T; x3 [- L5 n
Chernoff faces, 切尔诺夫脸谱图
8 m. h" l' x* n3 c; D, R4 kChi-square test, 卡方检验/χ2检验
% j7 I Y/ g! K: uCholeskey decomposition, 乔洛斯基分解
8 [# R! V$ X3 x, [) D5 uCircle chart, 圆图 + s! [* ]+ J4 J! K' h/ f
Class interval, 组距
5 t2 E6 i7 j. a( r; g+ gClass mid-value, 组中值
K+ o3 u) _0 U! P- @ b7 i0 qClass upper limit, 组上限- @" E# p5 j7 g0 Y
Classified variable, 分类变量; V7 n9 g! B) i
Cluster analysis, 聚类分析
' |$ z" w! k. z( b" OCluster sampling, 整群抽样
7 ^" ~0 |+ U( h/ ~; q% M+ yCode, 代码
( k6 W4 @. S9 y0 Q( K4 ~7 E! BCoded data, 编码数据2 ?% u( _* |! c0 ^8 B
Coding, 编码. M5 h( n% h7 s, f- m$ c( n3 ~
Coefficient of contingency, 列联系数
" T& k+ t6 c+ H+ {" o6 H% Q8 lCoefficient of determination, 决定系数
8 A- W! @/ t! x- l) w |9 nCoefficient of multiple correlation, 多重相关系数
$ ^" x; v8 \+ `Coefficient of partial correlation, 偏相关系数
\0 F l! g" oCoefficient of production-moment correlation, 积差相关系数! d. U7 _! T, `! o
Coefficient of rank correlation, 等级相关系数
9 ^3 Z$ a8 O' }# _* ]6 |' R# hCoefficient of regression, 回归系数* I8 C* w: L2 q: x
Coefficient of skewness, 偏度系数 S5 @, c" [ ]5 p; z* X* H
Coefficient of variation, 变异系数
3 j! `# f" a, }7 N. c& b& J/ ^Cohort study, 队列研究1 G. P2 c% `8 i5 X/ h7 m) ]9 ~
Column, 列
/ m2 k5 q) ]6 g# }' @2 cColumn effect, 列效应
6 o; v( O) v, p$ S' k% G" A( NColumn factor, 列因素; d9 _) r! T0 X
Combination pool, 合并
& L% X; j8 _( C" e$ E0 _Combinative table, 组合表9 d' ]" E1 h/ E
Common factor, 共性因子2 `6 U/ O4 w b$ q
Common regression coefficient, 公共回归系数
/ s% [$ S4 `2 d0 d* ECommon value, 共同值
3 o2 u7 n0 a/ k9 T5 cCommon variance, 公共方差& T* m8 e, b1 @8 W
Common variation, 公共变异1 R7 m4 J0 g( |- `+ R1 t! O
Communality variance, 共性方差7 K9 D0 b$ C. W
Comparability, 可比性
! D, Y! r7 X5 ^0 N* hComparison of bathes, 批比较8 f" i' c* e" q, z% \
Comparison value, 比较值
( P1 ?* Y7 b g; v" mCompartment model, 分部模型, [: ^' P; d2 C
Compassion, 伸缩
8 G' O1 L, W. I. d x* V7 p7 J9 mComplement of an event, 补事件
B0 r( ~0 J; C! x0 JComplete association, 完全正相关
/ [ w/ U' U8 l5 Q0 n: DComplete dissociation, 完全不相关
/ o( D8 m- h) O( }2 u T" WComplete statistics, 完备统计量
. L1 Q" O4 e+ i) a; D. ECompletely randomized design, 完全随机化设计
6 u2 p9 v+ E9 X5 ?( t* M1 WComposite event, 联合事件* m9 _, Q, l# {1 v% }! B b; g
Composite events, 复合事件( m: c' B4 ?9 U5 T8 Y. p
Concavity, 凹性7 i( k8 }" F6 ^( k0 Q# T( E/ z8 w
Conditional expectation, 条件期望3 u, \" X$ W) R0 P
Conditional likelihood, 条件似然
- C6 g- ^- c$ mConditional probability, 条件概率( w9 q2 \7 J: K6 W
Conditionally linear, 依条件线性5 c: k& q! |& e& ?+ ]5 x! t9 C$ [
Confidence interval, 置信区间
5 p) l4 p4 S( k0 `+ J! T/ aConfidence limit, 置信限
0 |! m4 A! s) {' u# K4 i! nConfidence lower limit, 置信下限
1 `0 o- c; m+ w& G5 J5 G# QConfidence upper limit, 置信上限
: s/ K; t8 K% e+ q' \# w" e s- XConfirmatory Factor Analysis , 验证性因子分析3 s! Y+ `7 J) {: {
Confirmatory research, 证实性实验研究& K( a Z3 e% m: A1 |) r. ?$ r, ]
Confounding factor, 混杂因素
/ g; K0 Y* B2 s; HConjoint, 联合分析
3 O3 g* V5 D( DConsistency, 相合性
! N8 \* y( }/ F. s- @1 IConsistency check, 一致性检验/ ` ?( Q6 U M% E# I$ i
Consistent asymptotically normal estimate, 相合渐近正态估计
. b2 ?. j# J2 d2 ZConsistent estimate, 相合估计
% S% r" n3 N7 y5 }) L, B- a% ~! @$ d; TConstrained nonlinear regression, 受约束非线性回归4 z$ b) S* X3 F- W* h+ {9 a
Constraint, 约束5 H8 P: _1 w9 i
Contaminated distribution, 污染分布
5 T, O9 f4 ^3 T1 w8 {( k7 HContaminated Gausssian, 污染高斯分布
9 n/ n" ?5 ~; G- jContaminated normal distribution, 污染正态分布2 @( T$ C, G* N" `/ p$ ^" J9 v
Contamination, 污染
( }! f. k2 L3 Y' ^( X4 U# wContamination model, 污染模型
8 ~5 h- i5 _* m/ u2 B) \Contingency table, 列联表
) P @9 L2 B8 z0 uContour, 边界线
( b! w4 O) b( F% b* @" w0 S3 vContribution rate, 贡献率) ~) J* @1 g/ u. e7 y# v/ k d
Control, 对照% g/ v# M( G1 G$ G: {
Controlled experiments, 对照实验2 g( ~) G3 R) }) B9 b9 |5 A5 }' m
Conventional depth, 常规深度' m z: t, _' d
Convolution, 卷积
5 v! ` t' [5 o$ E, PCorrected factor, 校正因子
. a: C- ]) H- ~- @Corrected mean, 校正均值9 \- @, q7 U, U+ d c) \; X
Correction coefficient, 校正系数
" c: Q4 @; H& T% [. u, lCorrectness, 正确性
F% j" \" j6 n* \Correlation coefficient, 相关系数2 X4 R+ C7 t% @& X; {$ ?; y
Correlation index, 相关指数! [7 ^1 Q4 j' O/ k% w `. S2 n& z
Correspondence, 对应
1 v( a, N* @& F8 U [6 v" sCounting, 计数
; D! X; ?, @8 z2 X8 aCounts, 计数/频数
6 r4 F! f2 K& U- U$ E; G" tCovariance, 协方差
1 B" e/ N+ {: i( ZCovariant, 共变 & a2 Y' f2 X2 q8 M" O8 ]9 b
Cox Regression, Cox回归* u; q9 e" t* h; q7 @8 Y
Criteria for fitting, 拟合准则0 \3 D6 ^0 M1 A( |) Z# o& w
Criteria of least squares, 最小二乘准则. p r& U0 B1 T5 M+ f+ k
Critical ratio, 临界比: _ T$ o5 ~/ B" R, x. v
Critical region, 拒绝域( d+ [0 M4 }2 [
Critical value, 临界值
- l# H" l2 g! R' P& L/ SCross-over design, 交叉设计
+ S2 ?( x4 R }7 P: H4 H5 O! ~4 iCross-section analysis, 横断面分析# v* ^# p' k$ D: f' E1 Q- r* ^
Cross-section survey, 横断面调查
3 ^3 j! t; o- Q. TCrosstabs , 交叉表
X2 k# F- S& k' d+ K3 H9 dCross-tabulation table, 复合表
0 U2 I5 v1 W! f. lCube root, 立方根
5 Z1 K5 ^" X: F, I% l7 RCumulative distribution function, 分布函数
' e: t- W% w/ @$ J3 FCumulative probability, 累计概率
2 A, N2 v2 _2 E2 g3 sCurvature, 曲率/弯曲 O/ h7 R/ a+ ?0 U/ P/ h
Curvature, 曲率4 d2 F% f& E' i/ j
Curve fit , 曲线拟和 7 o3 k* F# U% a# |( C" m' G6 [
Curve fitting, 曲线拟合+ @* i! S+ Q6 b- j+ K
Curvilinear regression, 曲线回归
& P5 W, H8 `9 R( }, tCurvilinear relation, 曲线关系
; ?$ n. o! c4 q1 Z8 KCut-and-try method, 尝试法! V# o) q* r7 N
Cycle, 周期
1 N7 Y; L' o% t& WCyclist, 周期性
1 S& Q7 V' ?1 A8 L0 U- o+ uD test, D检验, N# p W# W5 q
Data acquisition, 资料收集2 N* C& U3 o2 ~, Q
Data bank, 数据库
* w/ B) w! L0 h9 p: EData capacity, 数据容量6 d" A0 ~% R2 T# I; I! D; I+ t
Data deficiencies, 数据缺乏* ^+ y' { m( I7 v9 L+ W
Data handling, 数据处理
% v6 h* T% u6 j' ^Data manipulation, 数据处理7 `8 r" y3 S2 N' U: a( q7 Y
Data processing, 数据处理
1 B7 ~0 _+ i# Q# R$ z3 C, pData reduction, 数据缩减
. F Z7 v* ~( z; f+ X+ _# S8 g1 dData set, 数据集
+ a1 o' S/ m) {. }! ?& W; CData sources, 数据来源
: l& `4 Y+ ~6 ]4 |; t3 gData transformation, 数据变换6 [* T# E# Y" H9 c
Data validity, 数据有效性
: ^! g) e# A4 cData-in, 数据输入
7 x; `+ V# V4 o0 K1 H( I* p/ e/ s; cData-out, 数据输出
+ w+ F* M$ F4 v+ b: F6 z" tDead time, 停滞期6 O' v/ m3 ]1 @; \4 E) N5 O: ?
Degree of freedom, 自由度6 W* a7 C7 z3 k. {
Degree of precision, 精密度) A7 }- [% f: H. x5 i# o" T$ S8 X
Degree of reliability, 可靠性程度( \7 |: C W6 L/ M
Degression, 递减
) Q1 p* k) C$ X* A# Y5 jDensity function, 密度函数
7 r. M" O" t, KDensity of data points, 数据点的密度
% E; ]; m, R; `Dependent variable, 应变量/依变量/因变量4 H2 U: G0 S$ s: g# e* S3 ~1 }
Dependent variable, 因变量
; F4 h$ O7 _, R4 ^/ Z1 ^% MDepth, 深度- H3 x+ B' U! O ^' p6 Y+ M# d
Derivative matrix, 导数矩阵2 j q D {) h- n2 x( Q
Derivative-free methods, 无导数方法
9 |& l. K- J/ |8 g I+ i/ x. RDesign, 设计. Z4 H6 F% a2 x/ t; e8 |) v; Z0 e
Determinacy, 确定性
# S3 R; Z) e- ]6 c- H& |$ dDeterminant, 行列式
- H1 j6 `# _2 [Determinant, 决定因素/ N- P! _7 |9 }9 l; T v: T
Deviation, 离差
4 k/ k# b% _4 s6 X3 g- @Deviation from average, 离均差9 F$ T% x4 J) L" ]; f7 i
Diagnostic plot, 诊断图
! t/ r/ J3 Q" T( ?7 \6 |4 o% QDichotomous variable, 二分变量
5 M$ ?* Q) N3 ]1 m4 ~5 J/ C: M4 x: d8 g2 [Differential equation, 微分方程+ b# ]9 H0 A& m8 f: U
Direct standardization, 直接标准化法
2 V6 ?8 }* ]1 m4 `% S8 t2 vDiscrete variable, 离散型变量
/ q3 u- P, B8 j' H: |; _DISCRIMINANT, 判断 4 [3 t9 I) u3 [" A
Discriminant analysis, 判别分析' A) B# Y* V- y6 |! Z$ g$ G
Discriminant coefficient, 判别系数 }) O! I7 ?+ F& w. X
Discriminant function, 判别值. j5 s) ]% p3 t
Dispersion, 散布/分散度6 b+ F* _5 C0 I" ~3 j3 e$ ^$ T
Disproportional, 不成比例的
1 g; H+ Y; B9 d+ F2 UDisproportionate sub-class numbers, 不成比例次级组含量1 E6 t, h( W9 ]8 F- A
Distribution free, 分布无关性/免分布( @5 G7 q8 x! N6 ^+ E- V
Distribution shape, 分布形状
6 \- a0 v* C a7 MDistribution-free method, 任意分布法1 b; \# i6 z( j1 N- s: ?6 u8 r& O
Distributive laws, 分配律7 ~' ~" R2 v9 y& Z: j6 x% v; G1 X5 \
Disturbance, 随机扰动项
# S9 ^7 Y' S% b S! vDose response curve, 剂量反应曲线; M8 F' V! ?2 c3 e N
Double blind method, 双盲法
; J: H$ Q6 J& K0 ^$ _Double blind trial, 双盲试验
( d: F2 W+ [3 |9 J3 V! n5 }7 vDouble exponential distribution, 双指数分布
0 V6 ]" K& r+ F; `2 }% w. @Double logarithmic, 双对数& T f7 R9 l* F* h
Downward rank, 降秩6 j( @& O) V/ k9 Z
Dual-space plot, 对偶空间图
& I4 K( f: e; u$ A; CDUD, 无导数方法6 d" a' A$ h9 ^, L' w
Duncan's new multiple range method, 新复极差法/Duncan新法& C' V- i+ T6 F( d" j. J
Effect, 实验效应
+ w( T# @* ]# IEigenvalue, 特征值
A$ h+ W$ |1 [: ^* }! @& Q1 PEigenvector, 特征向量
( c) d5 h0 Q9 t; W& X/ f" H6 m# CEllipse, 椭圆
4 k5 i5 O3 `" w' c- T5 D U/ i6 oEmpirical distribution, 经验分布+ S2 J- o( k0 `/ E" J Z* O2 J( _% [
Empirical probability, 经验概率单位. {: K. B. D& b
Enumeration data, 计数资料
- Z" n$ T. s" {4 b( I: [Equal sun-class number, 相等次级组含量
2 b b& R. n6 W7 g0 e2 ^: AEqually likely, 等可能
8 E0 x- k4 D. \; j2 S4 rEquivariance, 同变性: V, {: g ?; R- J3 D( V
Error, 误差/错误 D6 `2 A' d( L O# O
Error of estimate, 估计误差
# j4 o% ^& R! {! {: OError type I, 第一类错误5 Q, B b" G- @9 ^# U
Error type II, 第二类错误
. E! a( [. z' E2 `Estimand, 被估量* Z) L) G6 Y. I# |2 [, N2 o
Estimated error mean squares, 估计误差均方" W6 Z! }8 R3 ?2 B% `, |7 z8 @
Estimated error sum of squares, 估计误差平方和3 X& T1 P9 B# k2 P' k% a; f
Euclidean distance, 欧式距离. F, q7 ^2 l! W' i; T
Event, 事件
( U" Q) D; h- n1 E5 ], q2 ZEvent, 事件3 Q. h( k* e7 c0 V
Exceptional data point, 异常数据点" O9 h& t( B: k6 ~, `: i; v
Expectation plane, 期望平面; i% b" Y; Z6 t, @
Expectation surface, 期望曲面
4 y& A, F1 r% x. i# qExpected values, 期望值, S6 |, q) g6 x: c6 z9 X5 O" |
Experiment, 实验0 A6 M S$ |& D* m
Experimental sampling, 试验抽样
* q+ u- q! n0 C3 F; P0 aExperimental unit, 试验单位
& m: V: V9 `/ O2 }Explanatory variable, 说明变量' [5 c$ F1 k0 e3 r
Exploratory data analysis, 探索性数据分析
# t* B5 [! @. T9 \Explore Summarize, 探索-摘要8 k' e8 N# n5 I; k: |
Exponential curve, 指数曲线
) Y, W% Y4 d% T# cExponential growth, 指数式增长
; `+ r! ?0 K+ |EXSMOOTH, 指数平滑方法
J6 Q- h9 g0 y# c9 u( NExtended fit, 扩充拟合% N0 P; N R: ~7 o8 [9 g
Extra parameter, 附加参数
& l4 \ |# {8 _* hExtrapolation, 外推法
0 |3 q% G+ o6 T1 Q0 [; y9 [Extreme observation, 末端观测值# Z4 T( J. F. Q4 T- Y# I& J
Extremes, 极端值/极值
$ \0 S5 k4 v6 V* XF distribution, F分布
% H: g) u Y* P6 ]+ Q1 s, m: U# q% eF test, F检验2 H- [$ |/ N4 e8 D# O/ c
Factor, 因素/因子
/ \4 P5 U {$ j% tFactor analysis, 因子分析% B% V% V; `- u4 h) Z- B* Y) c7 V
Factor Analysis, 因子分析
6 \/ S1 `+ ?0 ~! o) oFactor score, 因子得分
% Y( M% T/ b% c; v0 q: L% CFactorial, 阶乘3 ^9 c- U3 y: E9 G1 ~$ C* W
Factorial design, 析因试验设计3 R. [+ ?5 V' ^7 B! m5 z) z
False negative, 假阴性) j. r; N3 _) E# [3 F8 @. `& t
False negative error, 假阴性错误+ j( y3 `$ B9 p, }
Family of distributions, 分布族* J0 q& o6 G G4 n3 w! J% Q$ R9 H
Family of estimators, 估计量族( B$ @: ?& x6 N, V8 |; f( K
Fanning, 扇面* s1 h' G+ g7 `2 w9 I$ ]
Fatality rate, 病死率, W: T# N- Y( k4 d! J2 `; }& O# p
Field investigation, 现场调查, r5 ]0 D& B9 J8 `- c6 K
Field survey, 现场调查
+ }& ?7 H( c, v! s1 {Finite population, 有限总体
/ G& {/ [. t" _+ ?: z( H3 OFinite-sample, 有限样本0 k: X6 f2 _& w. K
First derivative, 一阶导数% E- p2 o* E9 ?4 P: `5 H
First principal component, 第一主成分
+ a4 C9 `- h2 i( XFirst quartile, 第一四分位数0 f/ P! z D' e5 `$ S1 @; q
Fisher information, 费雪信息量. _1 B2 A/ C, \; @3 t
Fitted value, 拟合值
4 F! J& G6 W9 TFitting a curve, 曲线拟合
" _+ U; b- r' j3 Q. \Fixed base, 定基
5 i! A* j N2 y- M" fFluctuation, 随机起伏
% F* h1 o5 r1 ]; m z- ?Forecast, 预测
7 n: O# f9 H! ^4 uFour fold table, 四格表
5 m: _1 {3 M5 c P# YFourth, 四分点
) \, o" g+ V& `& G1 NFraction blow, 左侧比率! Z3 t; O. Q! j- h
Fractional error, 相对误差0 ?4 Q- G# ?6 K1 v( P; b3 n) w9 X
Frequency, 频率
7 a/ H5 B1 i. R, q0 N- ^- BFrequency polygon, 频数多边图
+ N6 u# F/ Y5 _: W' [Frontier point, 界限点
: u- w# R) y4 E W, F% J! N# BFunction relationship, 泛函关系/ l3 j) I2 i) ?# {' k6 T
Gamma distribution, 伽玛分布
# _# o. A- {( o) Y2 gGauss increment, 高斯增量! E; P0 A% o% b( K& u& ^2 c' e
Gaussian distribution, 高斯分布/正态分布
0 A7 o+ }; `' Z$ v, R+ IGauss-Newton increment, 高斯-牛顿增量" E# T! z- k$ B- w3 p: v
General census, 全面普查
, w. r/ a$ A% X N; j7 a8 j, X/ b* r: {GENLOG (Generalized liner models), 广义线性模型 $ {+ {9 {. ^9 s7 W0 Y) E+ [
Geometric mean, 几何平均数& W8 ^# Y8 t- E, f" B% x
Gini's mean difference, 基尼均差
% j5 o! Z- y+ _6 F0 c: S6 mGLM (General liner models), 一般线性模型
- o( i' C n1 s' B9 VGoodness of fit, 拟和优度/配合度* J) m3 { @3 N: T$ ^8 w
Gradient of determinant, 行列式的梯度
% P, {/ ` H$ A% E- h2 BGraeco-Latin square, 希腊拉丁方# r: d) X) s8 z% O, L' i. ]0 a4 Q
Grand mean, 总均值9 V2 \- Q: [1 t0 H, Y/ n6 {
Gross errors, 重大错误
2 S' @) `2 e* vGross-error sensitivity, 大错敏感度% {1 P" @" z5 r5 D1 T; a
Group averages, 分组平均4 D9 c+ M% e! a6 J2 L
Grouped data, 分组资料* I5 B" h7 ^5 [
Guessed mean, 假定平均数1 W0 [7 S$ k# |: V
Half-life, 半衰期
2 Q& T$ X+ i+ K; m. `6 hHampel M-estimators, 汉佩尔M估计量
, S" y0 C9 y# _7 yHappenstance, 偶然事件; Q3 N2 X4 j5 a) d/ j
Harmonic mean, 调和均数
9 b& y/ ~( i' m9 ]9 T8 `Hazard function, 风险均数& K: Q1 v3 y. q- A0 i9 p" T
Hazard rate, 风险率' w8 a* N* O; k/ `- X
Heading, 标目 - i" ~- G8 {1 A1 @& D. M& @- A* U
Heavy-tailed distribution, 重尾分布
! @+ X: [4 ] [) q2 |Hessian array, 海森立体阵
) c# [) D1 b, g0 p. x7 I5 zHeterogeneity, 不同质
8 S* e4 _6 d& A; _Heterogeneity of variance, 方差不齐
' w! z* X! }: S" X, wHierarchical classification, 组内分组) L7 q- O, k) ^# p0 C& d
Hierarchical clustering method, 系统聚类法
5 _& E" x; e: O7 t3 yHigh-leverage point, 高杠杆率点3 N6 o9 i* q0 P# l; n
HILOGLINEAR, 多维列联表的层次对数线性模型8 v( F6 _8 _/ h
Hinge, 折叶点 H0 n. G; i! o! S g5 B
Histogram, 直方图
1 c' [" z a; i# P' F7 lHistorical cohort study, 历史性队列研究 ; i' i) j0 S' P1 u% Y) ]3 B o6 K
Holes, 空洞
" O5 W$ p$ y* [5 x6 d- UHOMALS, 多重响应分析
. B* P$ n" l% H9 Y& vHomogeneity of variance, 方差齐性
@, U0 m# j3 b& _: l9 [1 MHomogeneity test, 齐性检验: r o6 }$ u3 m7 C0 d0 n- i
Huber M-estimators, 休伯M估计量& L# x) I, |6 X2 Q: M
Hyperbola, 双曲线
( m6 U! V" ^4 j0 ?! A6 q2 R JHypothesis testing, 假设检验# k0 S; a5 ^1 ]+ ?
Hypothetical universe, 假设总体
7 X: N% z2 `: GImpossible event, 不可能事件
: d; j& G2 ]3 m& aIndependence, 独立性& ?- [* |% B) K! f' l" l& e
Independent variable, 自变量
- Q$ u* _5 \% d: D& _* EIndex, 指标/指数+ N- o9 Y6 E/ o# ~( L
Indirect standardization, 间接标准化法# ~" {! z; o5 l; N$ _4 K
Individual, 个体: z5 k# V) |9 o* C
Inference band, 推断带6 K4 `0 n& m: L6 i+ x6 I r% @# c
Infinite population, 无限总体
9 l/ z2 H$ S, F% q, j0 S, t0 hInfinitely great, 无穷大- F$ n. L5 y2 @
Infinitely small, 无穷小
$ P, G9 D0 r$ ?! B1 ?Influence curve, 影响曲线
$ D: Q7 b" o8 U1 ]Information capacity, 信息容量
/ o: S: A( b$ W! @, O* J& ~Initial condition, 初始条件
: K- V# m% e/ G g4 m# d9 vInitial estimate, 初始估计值9 B0 d. L U5 r( Y8 G
Initial level, 最初水平
9 j6 J2 R+ d7 J& r' sInteraction, 交互作用 L5 c+ j5 @6 ]+ p8 c. P! c! [0 r5 f
Interaction terms, 交互作用项
1 ^3 p' x4 \7 \Intercept, 截距
( M: C+ a+ R) l+ ]! f1 ?' E6 A2 lInterpolation, 内插法
' e9 { {! S4 R4 mInterquartile range, 四分位距, Y: t7 b* l6 u( ]9 l: q
Interval estimation, 区间估计4 B( s. ]8 i7 m7 b U" F/ X5 `
Intervals of equal probability, 等概率区间
. c* d$ |& O# ^# U) D+ rIntrinsic curvature, 固有曲率
( y K; k. @8 @1 FInvariance, 不变性6 m! R0 e% t- B; h9 Z3 ]& b3 k
Inverse matrix, 逆矩阵
# r/ L# v0 h0 N9 m6 S* nInverse probability, 逆概率
* B F2 `, a2 E# _Inverse sine transformation, 反正弦变换
6 p6 x4 o+ y6 Y" rIteration, 迭代 : x+ I' ?1 `- l2 m* Y- ]
Jacobian determinant, 雅可比行列式
1 C" l: m6 S7 _% O" MJoint distribution function, 分布函数) L) y5 v1 H) J& m8 J5 s6 \
Joint probability, 联合概率
+ h0 i" Z& U( ]5 }# w, ?# }" V" z/ Z, aJoint probability distribution, 联合概率分布
8 O/ m; O$ O# c5 g& aK means method, 逐步聚类法
3 z% G9 ?9 P( w) }% v! ~" V0 `Kaplan-Meier, 评估事件的时间长度 + |- V* {" w8 g& `( S, D
Kaplan-Merier chart, Kaplan-Merier图
9 q! T8 ?& R7 mKendall's rank correlation, Kendall等级相关
' J6 V4 B3 @9 v2 S+ uKinetic, 动力学' A7 A# o) a& P
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
: ?, d1 t/ U/ |2 Y+ h OKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
6 F8 e5 [1 U s# P lKurtosis, 峰度
6 z$ J) E, y" e0 {8 NLack of fit, 失拟
7 X4 z: y. r7 k$ @Ladder of powers, 幂阶梯
3 j$ W( p1 J [- r3 WLag, 滞后
6 D# S& j. |/ F* L L2 @# oLarge sample, 大样本
( q$ F, W; R( Q I0 z" WLarge sample test, 大样本检验8 q" Z; ~2 I, c: [8 O% t+ z+ M
Latin square, 拉丁方4 j u, c" i, J9 J7 q* v
Latin square design, 拉丁方设计* @7 u& m% q( F- h
Leakage, 泄漏) t9 O- V; A6 a! ~- ?. P F; K1 b
Least favorable configuration, 最不利构形& c( U+ |+ j5 n: v
Least favorable distribution, 最不利分布
4 Q+ v$ g: V% |6 J3 LLeast significant difference, 最小显著差法3 A! @% E$ f! u3 ]" W7 t
Least square method, 最小二乘法, S3 q. g2 s g
Least-absolute-residuals estimates, 最小绝对残差估计
+ n* k% T) h$ S$ R' j5 z3 j# {Least-absolute-residuals fit, 最小绝对残差拟合2 Y7 e+ j' Z5 [2 c5 P v
Least-absolute-residuals line, 最小绝对残差线7 @! C, e+ c1 s6 w" ]& m
Legend, 图例3 @; R- @# |* U8 x5 G7 E7 l( A
L-estimator, L估计量
9 X( `* j8 Z9 u i' V# v# A& KL-estimator of location, 位置L估计量
7 w8 a. j1 T, m' C7 TL-estimator of scale, 尺度L估计量4 S1 G1 ?5 m0 B% f' S+ w
Level, 水平
- m2 ~' ?8 k* ULife expectance, 预期期望寿命% Y4 o l: Q5 C4 P5 w2 G! z9 k
Life table, 寿命表
$ ]* f5 C* f0 {$ I4 ^9 _) _Life table method, 生命表法
0 y, ]& e3 ^) `Light-tailed distribution, 轻尾分布, |4 r( c3 m& G) A c5 @
Likelihood function, 似然函数$ m. k$ I4 ?! t7 Y8 [$ W0 G, C
Likelihood ratio, 似然比6 N9 R6 q( `0 z$ N9 j
line graph, 线图
. k. R) c, [! ]- u( [7 J" m! ]2 oLinear correlation, 直线相关
+ C7 b5 d; S" lLinear equation, 线性方程3 ~' N/ M8 f0 d; ?: X# p
Linear programming, 线性规划. x/ j2 j0 [ D
Linear regression, 直线回归9 A& T% D! w5 L3 s2 e
Linear Regression, 线性回归
# L. @: ?5 F, G/ }0 y. ~1 mLinear trend, 线性趋势( Q- M7 P; C: {. j% z
Loading, 载荷
/ t0 _6 f3 [7 a8 XLocation and scale equivariance, 位置尺度同变性, b' k* @3 h1 _/ x" O
Location equivariance, 位置同变性
& N! H9 Q: E# R! d- |. e0 YLocation invariance, 位置不变性
+ X9 s8 j1 i$ U E2 `Location scale family, 位置尺度族
& C- k Y! E& w; j0 |- Y3 t ]. dLog rank test, 时序检验
' d: a7 i; A- VLogarithmic curve, 对数曲线2 ^6 e8 N. t$ z% ]; X0 u
Logarithmic normal distribution, 对数正态分布! A6 c- L |2 |
Logarithmic scale, 对数尺度
/ A. y+ n8 \' cLogarithmic transformation, 对数变换; @ s1 F: T9 z X% J: o W
Logic check, 逻辑检查5 S1 L" m7 V5 A( e: N& n% k
Logistic distribution, 逻辑斯特分布
% _) I8 o0 A( O& s: N5 nLogit transformation, Logit转换) q9 [7 m7 m/ D' T. N, r: a
LOGLINEAR, 多维列联表通用模型 ) O8 C* W' n" ?+ y* `1 U# r
Lognormal distribution, 对数正态分布
8 t# w& J( d( B3 c H9 m2 i" ALost function, 损失函数) x1 @+ i( D2 w4 s7 H; ^
Low correlation, 低度相关
0 Y* c4 `( F$ h6 A) [# m ]- PLower limit, 下限
: M: @0 T2 k: n1 a w4 bLowest-attained variance, 最小可达方差
; Y3 o `( |3 a& n8 I6 aLSD, 最小显著差法的简称) K/ |8 [ r$ L( V) ?" \6 i
Lurking variable, 潜在变量
+ ?7 M- Y0 q- p4 x% X: [. P4 ]. fMain effect, 主效应1 B+ W/ E- L% G2 v
Major heading, 主辞标目0 c( W' @# H8 m% C p6 a+ ^# x
Marginal density function, 边缘密度函数' @# l6 l Y) d+ W7 O
Marginal probability, 边缘概率& b: q4 n3 o8 a- O6 Z
Marginal probability distribution, 边缘概率分布! }* x# i9 j' Y( J, \4 }' V
Matched data, 配对资料
% `% ~1 g8 e K8 L, a R5 }. y. qMatched distribution, 匹配过分布$ q3 O0 p7 x: E; m. E4 Z7 G
Matching of distribution, 分布的匹配, F5 z ]+ I2 u! W/ ^4 S. M
Matching of transformation, 变换的匹配
" {- f& l. s W1 F9 VMathematical expectation, 数学期望
# M+ P2 Q* |( k2 D. O$ ^/ S5 ~Mathematical model, 数学模型5 H# `6 \2 n3 z Z9 ~+ J* ~3 K
Maximum L-estimator, 极大极小L 估计量# |1 u# n$ o8 F% K
Maximum likelihood method, 最大似然法
7 S( ?) ^0 C8 i( u" V% {3 kMean, 均数$ S) g, b9 _7 t) h4 c
Mean squares between groups, 组间均方! e, E6 S! Q i* Q4 k3 ]6 P
Mean squares within group, 组内均方
" F- m# M' w1 j2 w9 xMeans (Compare means), 均值-均值比较
6 x2 r6 Q$ s# P* c1 q: Y3 q' w. N2 bMedian, 中位数# z' Y- U. s5 Y4 _
Median effective dose, 半数效量0 L. s6 J5 ^) ?
Median lethal dose, 半数致死量
; h$ b5 b* n/ YMedian polish, 中位数平滑4 _/ R/ X# f. `0 I6 Z0 E' s1 m) {+ T
Median test, 中位数检验
% Z4 T8 x3 W v, EMinimal sufficient statistic, 最小充分统计量
- o$ N* s/ p7 R+ g; VMinimum distance estimation, 最小距离估计
+ |0 V; y2 F: H7 O8 pMinimum effective dose, 最小有效量
2 {6 [: b! E* T4 Z! C2 C6 HMinimum lethal dose, 最小致死量
/ t- F. T: f, s" eMinimum variance estimator, 最小方差估计量* y) N- Y- |% e$ v! a+ U) d
MINITAB, 统计软件包1 K5 s0 a! K3 h9 N& E _' W
Minor heading, 宾词标目
+ o5 D& J. q2 D) \0 k7 SMissing data, 缺失值
" y5 Y: {' J% G2 CModel specification, 模型的确定9 _" ^4 m8 P0 a5 ?
Modeling Statistics , 模型统计- e& ?! h- w( _* p+ c
Models for outliers, 离群值模型" r% U3 \4 z. C& T! E9 C" n
Modifying the model, 模型的修正8 u0 r4 |: C" F
Modulus of continuity, 连续性模2 y n0 f' j3 g* K- E
Morbidity, 发病率
, b5 P4 ~- Z, K/ N4 OMost favorable configuration, 最有利构形9 r" K g5 n0 T! _( p
Multidimensional Scaling (ASCAL), 多维尺度/多维标度9 F! G6 k* m( z, e# A( C6 `. i
Multinomial Logistic Regression , 多项逻辑斯蒂回归
, w9 h* Z; _9 u$ {7 FMultiple comparison, 多重比较
( e: q% g2 A6 v" S5 ~% _- d9 vMultiple correlation , 复相关/ e' H: j7 y* r5 D
Multiple covariance, 多元协方差
% X5 ]7 n. e/ q/ d$ A8 `4 {Multiple linear regression, 多元线性回归5 j% `# w5 R+ Z7 j
Multiple response , 多重选项
, S- w. F+ t7 xMultiple solutions, 多解
6 [0 ^1 x7 @) sMultiplication theorem, 乘法定理
! t3 x2 c6 g& T( O- _2 S; UMultiresponse, 多元响应
d( e( N6 R B5 g* u% N0 bMulti-stage sampling, 多阶段抽样
. M; R( t9 S OMultivariate T distribution, 多元T分布% o9 Q8 d4 l0 X6 R# x# Q8 P
Mutual exclusive, 互不相容
7 A; j* e% k$ d" n& D3 \0 ZMutual independence, 互相独立
3 D# J2 N. v: C* j9 b2 `Natural boundary, 自然边界
1 v+ B6 I8 f1 t. N6 }# RNatural dead, 自然死亡9 l9 S' i/ V7 X6 D" N. a8 z
Natural zero, 自然零
( V& m# g& G; H# j. K3 h& V7 m" RNegative correlation, 负相关
8 R, L, h/ @0 f- N3 Y) WNegative linear correlation, 负线性相关
! h* F; m) w, d( ` Y* o5 MNegatively skewed, 负偏
4 j' I: p9 T5 d- V# ~$ W- d- CNewman-Keuls method, q检验' _6 u* x9 ^. L4 w# l+ O) V. W1 ~ z
NK method, q检验3 o; f* K" ~. q7 r* R, o" [
No statistical significance, 无统计意义) ], ? u/ w: X3 i ?' e8 S
Nominal variable, 名义变量
% X% {! H. l9 G) Y1 N& k pNonconstancy of variability, 变异的非定常性" D a) ~5 m' }$ w* Y
Nonlinear regression, 非线性相关 F: q# J- I7 ~& w/ G- u6 N; h% e
Nonparametric statistics, 非参数统计- x4 c6 X( p1 ~/ c
Nonparametric test, 非参数检验
- m. z# L( b" s1 h. ^- ~$ o5 S" m0 sNonparametric tests, 非参数检验
# h, r1 I2 C( ?& F SNormal deviate, 正态离差
% a% Q! Z5 b( b- v+ ^- ^& @2 oNormal distribution, 正态分布
& u# m9 J! T0 d5 PNormal equation, 正规方程组
5 P, v* J Z$ [" u9 O5 o& wNormal ranges, 正常范围
8 @9 R( h3 J0 S- i; b* ENormal value, 正常值9 I( H& I5 ~. O i/ Z
Nuisance parameter, 多余参数/讨厌参数2 l j$ I: c3 w) E8 ^
Null hypothesis, 无效假设
2 e# O" z4 Y" P# \0 cNumerical variable, 数值变量2 P/ ]* c- V$ X8 {4 x1 M' J2 c; _) Z
Objective function, 目标函数% [4 v4 I* @: N9 p! \8 g" F5 g; s
Observation unit, 观察单位+ H. e/ J2 H3 ]
Observed value, 观察值) \2 c# L" G# S/ p* L* ]; g
One sided test, 单侧检验& d" \/ a: L& w7 ]4 A* b0 \+ c/ ?7 m
One-way analysis of variance, 单因素方差分析
7 U' k7 w3 A1 w1 _Oneway ANOVA , 单因素方差分析$ u8 k4 K. ?/ {) x) ~
Open sequential trial, 开放型序贯设计
% |4 M9 e1 D. c/ U2 g6 Y" I) WOptrim, 优切尾
0 g% r( V7 e. W+ z" R$ nOptrim efficiency, 优切尾效率 K" k# G1 Y; y/ k7 }( D3 v
Order statistics, 顺序统计量& |9 r+ @) T1 t" W
Ordered categories, 有序分类: P* e, ~8 i- g- l! W
Ordinal logistic regression , 序数逻辑斯蒂回归. s/ U3 [. h9 U- d3 B: x0 T
Ordinal variable, 有序变量
1 T4 |. |; h2 |% a4 k. gOrthogonal basis, 正交基
; Z' d2 l5 ]4 A j- h. f% ~Orthogonal design, 正交试验设计
" C/ c% F) t! B; c) EOrthogonality conditions, 正交条件
9 t4 x' Q5 v5 O8 M5 NORTHOPLAN, 正交设计 ! g6 h9 D, t8 ~& z$ N; N
Outlier cutoffs, 离群值截断点
! y) |1 y3 S' a+ F2 s- `* I7 COutliers, 极端值
% w( y* F' H [. hOVERALS , 多组变量的非线性正规相关 ) }6 Q6 W" y$ U% e! b% ], ?
Overshoot, 迭代过度9 D* |9 s& a& p, u0 i/ D' ~' j4 A* z! q
Paired design, 配对设计0 h7 I) i4 h( P
Paired sample, 配对样本$ b* j3 C5 T" `( I% O/ n% s
Pairwise slopes, 成对斜率% R1 _) n" b2 L6 |' ?4 t# a
Parabola, 抛物线
( [ l* Y' \0 e2 i3 @" rParallel tests, 平行试验
' w2 Z+ e3 o- J3 ?3 l! T3 gParameter, 参数
# u) T9 R- l" J4 `2 yParametric statistics, 参数统计9 B: {9 }- Z( Y' r, S
Parametric test, 参数检验
' I7 y& c, H2 p# n5 T$ D+ B5 IPartial correlation, 偏相关
3 w1 e/ t. m& S! OPartial regression, 偏回归! ]; z/ r; A9 R$ N: H' _2 F' c# J0 n" L
Partial sorting, 偏排序# a/ j3 [) q+ Q8 V$ ^; g
Partials residuals, 偏残差2 K3 g5 V z7 z, q
Pattern, 模式5 M/ S5 C* z( ~: f, ^" p/ ? b9 j
Pearson curves, 皮尔逊曲线
2 t# G8 R. R# X- Y, h yPeeling, 退层0 k5 [, C T* j ^8 ]
Percent bar graph, 百分条形图+ T6 v$ q- \$ K2 M' W4 W( b
Percentage, 百分比
0 u5 [4 p! c7 a, A, @; kPercentile, 百分位数
# a" i, D, q( r0 t1 S( QPercentile curves, 百分位曲线
; T9 n: u' N. r( r( g3 S5 @Periodicity, 周期性) A% l# N2 h6 `5 }5 I. ?
Permutation, 排列
, Z. N2 }8 I) v$ r+ H: tP-estimator, P估计量
+ p0 h+ T; {& c% b' t# lPie graph, 饼图 n- E: W$ K/ {) s
Pitman estimator, 皮特曼估计量% v/ z4 ]4 f% n: {6 E. v% u6 x
Pivot, 枢轴量& \/ H9 w8 k# d5 w6 l8 e6 k {! e
Planar, 平坦
; g8 R, a# q; C9 ?1 C, nPlanar assumption, 平面的假设
$ r) P5 o8 v, Y! a' j3 RPLANCARDS, 生成试验的计划卡9 b8 P0 U9 b5 g6 `* U6 @+ v& t2 t
Point estimation, 点估计
- M0 X- D) n# _: |/ oPoisson distribution, 泊松分布
$ U! D$ V" s' u8 S& ^, |Polishing, 平滑2 H& ]" s+ l% j0 E
Polled standard deviation, 合并标准差
$ h3 C* m' H! h, Q4 ?8 {% rPolled variance, 合并方差1 P7 [" s: O# N. [6 f# }
Polygon, 多边图
9 H* y' c; Z. Q$ S' M6 _7 J$ G, a1 [Polynomial, 多项式 W' c$ F: v* P" m- A
Polynomial curve, 多项式曲线" k1 X5 x/ {. z9 y `( M
Population, 总体
. F9 D4 z" z0 u+ a5 [8 v) sPopulation attributable risk, 人群归因危险度4 [3 M9 _) i, g3 L4 M8 o$ Y; k% t
Positive correlation, 正相关
& L7 }7 O9 d- k# ~) d7 c/ {. @* G# dPositively skewed, 正偏0 m7 d0 U7 c1 @: e; {& j7 {% }3 s& W
Posterior distribution, 后验分布
, S1 l- o" z' y) N$ d( e+ {+ RPower of a test, 检验效能
1 C) K- v" N6 P. M% T5 k, b8 IPrecision, 精密度
) D2 o9 v+ G3 s1 g% q! ?- ?Predicted value, 预测值
4 O1 O# x1 G, [7 Y' A/ H1 a* UPreliminary analysis, 预备性分析 S0 z. p) P+ S' O6 l
Principal component analysis, 主成分分析+ [' w* ~; G7 M9 a% M# y' R H$ c
Prior distribution, 先验分布
0 ]+ {& {0 [! ~6 d. }3 lPrior probability, 先验概率
0 f2 n; G/ s: I ~. _2 P2 tProbabilistic model, 概率模型2 c, R3 n2 {) G( m6 U
probability, 概率
) F1 v$ J4 W' i h4 H5 c; zProbability density, 概率密度
& N1 V3 i2 `/ m+ h9 ]) j/ uProduct moment, 乘积矩/协方差4 k( D; M1 Y. a- ^: e5 s$ b
Profile trace, 截面迹图
}. U% ^: ?1 E8 v4 p& @/ \Proportion, 比/构成比0 l; h2 M: u& m+ X
Proportion allocation in stratified random sampling, 按比例分层随机抽样
^; W9 D- m9 ]- T1 ^9 r' EProportionate, 成比例
' ~/ E5 ^& q& DProportionate sub-class numbers, 成比例次级组含量
) v7 a) _6 Z* s2 K. Z1 _1 i- UProspective study, 前瞻性调查6 c+ C7 z& h7 U/ i8 K9 a
Proximities, 亲近性
5 W3 `6 Y2 K7 v; t4 l6 h1 S; P6 VPseudo F test, 近似F检验2 Q0 U& Y" s+ S A( j; B
Pseudo model, 近似模型
1 G% Q: W) w1 o/ BPseudosigma, 伪标准差7 Q. U! b7 U2 w- {& w
Purposive sampling, 有目的抽样5 x6 U! d+ S9 `9 V8 b) T- u. h1 K
QR decomposition, QR分解0 w0 |/ _3 L9 k9 T4 M- N0 m) b
Quadratic approximation, 二次近似
# ?% Y% W a" N4 E8 cQualitative classification, 属性分类1 _0 y: c, `. y) _
Qualitative method, 定性方法
5 [. _( o* ]* ?1 L! M* [Quantile-quantile plot, 分位数-分位数图/Q-Q图
0 ?; t z" U8 ]7 F/ YQuantitative analysis, 定量分析
; P7 e" a r+ ^' sQuartile, 四分位数
' W+ a; {9 ?6 m9 A3 H" Z6 X7 eQuick Cluster, 快速聚类. u$ s! |5 T% C+ l
Radix sort, 基数排序
/ U8 Z6 q" W6 j* N- a5 zRandom allocation, 随机化分组
8 B; c5 u) |) h: y+ k8 t/ eRandom blocks design, 随机区组设计
1 s8 t+ e* _6 I* W( K6 ORandom event, 随机事件* u v+ u" L9 {' J1 d1 t: A
Randomization, 随机化
( X$ {, N* @# @/ E8 JRange, 极差/全距
2 ]- L# {* |1 ]& c9 F- j3 @Rank correlation, 等级相关+ }! I3 {; c; B7 n* x
Rank sum test, 秩和检验* t$ g; a) w: }
Rank test, 秩检验
+ [* Q& ?- b$ X3 r1 t' f, G% E) lRanked data, 等级资料
& y @9 w. k3 r( DRate, 比率3 W' D+ y% x6 c* n4 l6 d3 c
Ratio, 比例$ j" s, j% l+ t) V* Y9 [9 f
Raw data, 原始资料
* _7 B9 t8 ]2 G- G6 B YRaw residual, 原始残差' w9 j3 q7 X% j* T5 _: _6 u2 m
Rayleigh's test, 雷氏检验
# g4 \. v5 R& ]; V2 [Rayleigh's Z, 雷氏Z值
1 @0 i" k+ t8 H ?" L/ s) qReciprocal, 倒数8 }. v; x7 w/ ~
Reciprocal transformation, 倒数变换/ s8 q$ D2 b1 R: M8 x# {
Recording, 记录( c2 f! g9 I4 a; J( k. d1 |
Redescending estimators, 回降估计量
" [: a( {; q' q, Y& VReducing dimensions, 降维
6 U. k% K( m6 l/ e" Y5 k+ URe-expression, 重新表达
( F, b g) l9 u* qReference set, 标准组
- G1 H1 a% l+ F7 f) K( ?: bRegion of acceptance, 接受域! h9 b+ i/ ?: Z2 _6 Z# ^
Regression coefficient, 回归系数" g2 S6 v& R* {' [
Regression sum of square, 回归平方和( F% Z) b1 x. r% X
Rejection point, 拒绝点( a7 g% x" l, Z H) ?
Relative dispersion, 相对离散度
$ N1 m S! P7 ~Relative number, 相对数: Q9 V4 @$ i* Y4 x: _7 k% K
Reliability, 可靠性3 ^9 e# o/ l* ~. `4 x! M m
Reparametrization, 重新设置参数 X- s2 y. A/ O" s. i6 m
Replication, 重复
! x( J+ Z! m9 U) |2 s5 \Report Summaries, 报告摘要7 U2 h: a5 R0 d* ]
Residual sum of square, 剩余平方和
- _0 _# p' T$ @4 Z7 nResistance, 耐抗性! h' i- k3 b! f" U
Resistant line, 耐抗线
0 }1 ~0 e/ d/ `3 v2 uResistant technique, 耐抗技术2 d f8 w2 I. J9 N3 ?
R-estimator of location, 位置R估计量' Z/ N2 g& t T2 K( d. Z! Q
R-estimator of scale, 尺度R估计量0 ~& F+ A; j+ K
Retrospective study, 回顾性调查- K- [! j- j5 l' S( x1 [
Ridge trace, 岭迹; U; Q4 f: k& ^& h. A
Ridit analysis, Ridit分析
7 a, H; N5 \, U4 }9 {0 mRotation, 旋转
+ `$ `8 |; X8 W) B% sRounding, 舍入% d: s8 P& o* P: z5 }7 }- |) q) U
Row, 行# T! V t1 g# ?( p8 z; H
Row effects, 行效应
3 D1 Y2 H1 n- Z! `/ s' @8 TRow factor, 行因素5 N3 o3 E( q) S1 r0 A9 d, @
RXC table, RXC表+ j# v* l/ V. i# ~7 G7 Y
Sample, 样本( r& }3 f8 _2 G4 a2 r4 P
Sample regression coefficient, 样本回归系数
; V: @2 L1 \2 \! C9 OSample size, 样本量) O- `+ M7 L p* P; d
Sample standard deviation, 样本标准差3 b* \# ]& U- g {8 t
Sampling error, 抽样误差
. a$ w* _8 B7 J! v1 C$ B- cSAS(Statistical analysis system ), SAS统计软件包
6 L, Z6 u; I3 ~8 U" w! AScale, 尺度/量表
& I# a# w9 u- d8 x4 p# @Scatter diagram, 散点图
6 p' t, c: {" P4 T! d, L ~Schematic plot, 示意图/简图. S! C% G: m8 @4 v; H) V7 o7 C7 G
Score test, 计分检验
) u/ E b9 s$ @7 @; c" KScreening, 筛检
( H4 g; g/ J% x: NSEASON, 季节分析 % c) J0 d, S, _6 R, a* A6 f' r: h
Second derivative, 二阶导数1 B- L8 x4 [" E6 y# E" y
Second principal component, 第二主成分
8 |+ r/ b! D; ~0 J# i2 e( fSEM (Structural equation modeling), 结构化方程模型 / u" y& _7 q3 [3 i8 P( g
Semi-logarithmic graph, 半对数图0 B, y- E; A& R+ w& r
Semi-logarithmic paper, 半对数格纸
& I$ E( c; G+ pSensitivity curve, 敏感度曲线4 z* p& q/ q+ N
Sequential analysis, 贯序分析
" T m- W. U1 ^Sequential data set, 顺序数据集: }/ e7 L' P }9 @/ x2 G1 d' T; j
Sequential design, 贯序设计
0 h* ^! b) m: @5 i( T8 KSequential method, 贯序法 a) i5 _! F4 ]- s6 @: C _
Sequential test, 贯序检验法
3 L* V3 Z' h2 {6 [Serial tests, 系列试验! T2 V4 ~- Z* Y+ J
Short-cut method, 简捷法 ' l8 Q4 y$ _3 [& s
Sigmoid curve, S形曲线5 n& z& o: U+ N" g9 B" G/ t
Sign function, 正负号函数2 E) T) |6 e! q5 D; t8 k
Sign test, 符号检验! a+ d1 g6 G$ `. w
Signed rank, 符号秩3 H/ E; p' O+ h, h0 C* ^6 n
Significance test, 显著性检验
; i' V) Y/ f; {* L6 g/ t, m, c! qSignificant figure, 有效数字$ U- T% i( p/ s6 Z, E- f
Simple cluster sampling, 简单整群抽样
4 C# a- T* b! @$ i \' F% eSimple correlation, 简单相关 ?) y$ n' m6 b7 q( R
Simple random sampling, 简单随机抽样
5 H) n" ?/ k' FSimple regression, 简单回归, h# T9 u2 x) Y) V
simple table, 简单表+ ^8 V, u b, b' P
Sine estimator, 正弦估计量
+ d. ?; B6 `. D/ Q8 pSingle-valued estimate, 单值估计
0 a% o9 c7 V' K! V' r8 nSingular matrix, 奇异矩阵
& C- k7 d( | O% v6 M9 A$ q0 eSkewed distribution, 偏斜分布2 D; K9 O7 Y8 Q) x4 ^; F$ A
Skewness, 偏度
2 Q9 W% L+ w7 S- I# W- M1 v$ {Slash distribution, 斜线分布+ ^4 p8 E8 P8 U
Slope, 斜率; t+ Q! a- P, G6 S* l' F* {
Smirnov test, 斯米尔诺夫检验& h) ?4 a! e' y4 V* @% M
Source of variation, 变异来源8 I$ x R% |+ r8 J- l$ P6 j
Spearman rank correlation, 斯皮尔曼等级相关8 j- Q5 H7 X- n. |
Specific factor, 特殊因子
" g# H8 }3 J, z& h/ XSpecific factor variance, 特殊因子方差
' p& }0 |/ f/ |. _6 nSpectra , 频谱
; Z7 Q1 F, n5 S8 L" @; L4 ASpherical distribution, 球型正态分布4 l @! r' v# P
Spread, 展布
1 x+ B, l+ @! d( Q1 ]: i" nSPSS(Statistical package for the social science), SPSS统计软件包
4 Y) l% t+ a# C; ]Spurious correlation, 假性相关' {7 U# k9 x8 @1 I' E$ t
Square root transformation, 平方根变换
: a, ^. h$ s3 T- wStabilizing variance, 稳定方差
/ P3 }- C& T/ LStandard deviation, 标准差, f, K3 D& A! C, ~0 n5 C
Standard error, 标准误; n9 y7 v' I9 b! ^7 q9 r5 P
Standard error of difference, 差别的标准误1 v6 o% X1 A) f/ z f D
Standard error of estimate, 标准估计误差
; ]8 Y' g# @2 V* l' @2 Y9 @' z& L% TStandard error of rate, 率的标准误
1 }2 v( v" Y# V& b" N& E6 h9 P& CStandard normal distribution, 标准正态分布
. c d, M* L* r& J0 q% o% c$ @* WStandardization, 标准化
3 L3 s% B+ d5 s: E$ c2 Q' f" j( GStarting value, 起始值
$ `4 }: }8 X5 z/ N. b8 C+ HStatistic, 统计量 _; l! u/ Q/ y& X( a' `- A
Statistical control, 统计控制$ M1 l, V! |) ?! p) q1 D
Statistical graph, 统计图
; f y& ^, S6 @1 ?9 PStatistical inference, 统计推断 g9 [ |+ W! k
Statistical table, 统计表
1 w5 e, B! |( W; k1 Z+ hSteepest descent, 最速下降法 |5 ?% T7 x" F- b
Stem and leaf display, 茎叶图4 {) ?+ v# p& [1 I7 F; p; K. S
Step factor, 步长因子6 Q9 v" |" o$ y3 Y/ e
Stepwise regression, 逐步回归
; V: x) \- B9 G1 M, l& {Storage, 存
1 C( i0 h# t# S$ S5 RStrata, 层（复数）% c7 |- Y" o6 \6 b$ _ m7 t( J
Stratified sampling, 分层抽样
$ W3 d+ [) t7 d6 |5 LStratified sampling, 分层抽样- M9 _3 y3 }% V/ V- ~, c, @
Strength, 强度$ w2 f+ _9 g8 x5 S( I6 l
Stringency, 严密性5 L+ ^. c' F7 }+ w0 i3 ]( |
Structural relationship, 结构关系
6 @ b- V1 s' u5 u" a$ kStudentized residual, 学生化残差/t化残差
* T6 Q# C& l l! }Sub-class numbers, 次级组含量
& y+ E. L5 n/ b( ESubdividing, 分割
1 O+ O6 s; v; w! m4 _Sufficient statistic, 充分统计量
4 S2 i C/ \% I" GSum of products, 积和
6 ?$ E5 n+ D2 {. n: oSum of squares, 离差平方和6 W$ f2 u4 E- L5 R+ M
Sum of squares about regression, 回归平方和
, A! D' f p8 ?0 M% o# B2 @Sum of squares between groups, 组间平方和! `0 `- ^" @) ^/ ?; S
Sum of squares of partial regression, 偏回归平方和# h0 j* I- z( w/ y, R R! q9 o# V$ y
Sure event, 必然事件+ Y* M' u$ x2 y# L9 U4 n9 G; W5 T4 Y- {
Survey, 调查
|, _3 h' u9 X6 cSurvival, 生存分析
/ b. u. d- {0 v. b/ r2 ySurvival rate, 生存率 m1 C8 R4 H4 a6 B& ]% z
Suspended root gram, 悬吊根图
8 l ?8 r8 z! v9 cSymmetry, 对称3 L# o( o1 h* H. S e+ ^' i8 d
Systematic error, 系统误差
6 l9 K; s0 @1 a4 f1 t% rSystematic sampling, 系统抽样
( C6 @3 ^" M7 k- D+ q0 xTags, 标签4 }/ ^% V( A) d
Tail area, 尾部面积
) k- f( x+ j- i/ \Tail length, 尾长
- O! w, G' q, l& y' u2 O7 ~$ {Tail weight, 尾重/ u1 Z1 ^: s8 \ d+ b0 k# X; Y
Tangent line, 切线
4 R) t1 g! ^, j1 x7 a. \: uTarget distribution, 目标分布( ?& \ t2 _( ^: d
Taylor series, 泰勒级数
. {; \6 L" p7 P/ ~Tendency of dispersion, 离散趋势7 j, c2 u7 n) d+ f
Testing of hypotheses, 假设检验
# P) i6 i3 x0 |( ITheoretical frequency, 理论频数9 J$ M5 P: Z6 A' O8 m
Time series, 时间序列2 u6 {$ ]: b0 V
Tolerance interval, 容忍区间' j4 R+ F" T4 `- v
Tolerance lower limit, 容忍下限* E) |# N: E7 M# z, E. w6 `7 j
Tolerance upper limit, 容忍上限 i4 k* J% k% S- N
Torsion, 扰率
2 N. f! ~: i: O( n8 oTotal sum of square, 总平方和
- `5 n+ }4 i' F0 BTotal variation, 总变异' }* O# ^' `& g% ^4 c: T
Transformation, 转换
! [2 l0 g% W( m7 s7 ]Treatment, 处理9 A/ I6 j5 W' P( _6 e6 R1 o
Trend, 趋势6 L6 F6 X$ C% Z& K
Trend of percentage, 百分比趋势# ?3 ]2 ~7 T1 n, G: H8 Z
Trial, 试验
1 C% n* N. |5 r3 O( z7 Z% sTrial and error method, 试错法 m! T s3 F- G/ P7 p5 U; O
Tuning constant, 细调常数
2 o6 [ D; ^0 V) ]8 nTwo sided test, 双向检验, h5 }) F+ i( Y h
Two-stage least squares, 二阶最小平方* E$ M1 F) ^, n& G2 u
Two-stage sampling, 二阶段抽样
) H6 u. d5 w( c9 kTwo-tailed test, 双侧检验' {3 G8 c: M, o) A9 q" w, s
Two-way analysis of variance, 双因素方差分析+ g8 c( _; e( C% |0 B3 F
Two-way table, 双向表 B& @2 @7 E' f- {
Type I error, 一类错误/α错误
- v2 e2 u. z! c* |" BType II error, 二类错误/β错误% h T) W" I: e- q* U3 A- L
UMVU, 方差一致最小无偏估计简称4 u5 Y7 W* i! m! H6 Y. J. q
Unbiased estimate, 无偏估计- m. f4 a. x% L" O
Unconstrained nonlinear regression , 无约束非线性回归
2 m" a0 E- O3 W: q9 I$ l" tUnequal subclass number, 不等次级组含量
/ h' L/ E+ d+ O1 m) ? qUngrouped data, 不分组资料
! d: T J- t7 Q2 O# ~Uniform coordinate, 均匀坐标: |! G6 O2 t6 M. B% z, `
Uniform distribution, 均匀分布
% \5 L$ Z, D" L+ z9 EUniformly minimum variance unbiased estimate, 方差一致最小无偏估计7 g- S( y" z( V4 m% B, b' G
Unit, 单元2 ^4 N1 i- \6 E( a* a9 D5 k
Unordered categories, 无序分类: C: N3 X5 g, ~& m% M& r3 S( n4 M
Upper limit, 上限; u+ v2 _( e( j7 d8 Y
Upward rank, 升秩6 o4 ]3 j3 h. A$ [, Y/ ^
Vague concept, 模糊概念
6 U! P( \( S( S, W( T: a# w! KValidity, 有效性9 ^- \* f% y; \" C$ K2 l( `
VARCOMP (Variance component estimation), 方差元素估计
- \3 d2 m- _( r- I, B" vVariability, 变异性 s- ^( g5 q/ I( s3 G. k
Variable, 变量; K7 @' j: A& H R
Variance, 方差4 d+ D) B8 q0 m
Variation, 变异9 r2 k4 x" W+ O! ^
Varimax orthogonal rotation, 方差最大正交旋转
8 Z1 N9 t6 G/ Y: X! r q( r8 XVolume of distribution, 容积# C. r" L# _0 o" r3 Q9 f k
W test, W检验
% E( ~8 A$ _; t& OWeibull distribution, 威布尔分布" T. Z; S+ g! T }
Weight, 权数
9 Y! i& ]& _: r ?' c: zWeighted Chi-square test, 加权卡方检验/Cochran检验) y; X+ v) O& v( O. u( h1 l3 [
Weighted linear regression method, 加权直线回归
# H0 I1 V$ }* ZWeighted mean, 加权平均数8 ]3 M& }9 G5 G8 e
Weighted mean square, 加权平均方差& @1 m* g- T0 ]+ w
Weighted sum of square, 加权平方和
# T4 B; _' P; y9 M0 w# `Weighting coefficient, 权重系数 V# c6 p% e% \' U
Weighting method, 加权法
1 H4 N& ^2 V2 D ?; C: m$ hW-estimation, W估计量
3 O. r6 ^* r$ U# y$ uW-estimation of location, 位置W估计量
& }5 w2 u. N- q/ s- gWidth, 宽度/ X% F. `# h. s% q& w; }
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
6 u3 d6 W6 g6 g) U; NWild point, 野点/狂点
1 U2 M' G# P" RWild value, 野值/狂值+ i3 P, \$ ^$ G) q4 k
Winsorized mean, 缩尾均值' k M5 T! R5 X$ I S" d0 K
Withdraw, 失访
) o9 v' I$ v9 C& |Youden's index, 尤登指数0 k- }" G8 Q7 N( X
Z test, Z检验: E1 f% y9 q6 i6 p, k/ y
Zero correlation, 零相关4 D: T! D4 u ` T: B( ~
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
