|
|
Absolute deviation, 绝对离差
" ~& n6 u5 E9 S7 b* WAbsolute number, 绝对数
% M7 p$ P3 L4 b7 E: O1 I' j; i- WAbsolute residuals, 绝对残差. i( o: ]: p& s3 ~, B% k- n6 i
Acceleration array, 加速度立体阵
, E# E8 W$ E) r# W9 e: C- GAcceleration in an arbitrary direction, 任意方向上的加速度
# `. G. \( I ~. u( g# pAcceleration normal, 法向加速度
. q) l" Z3 A9 ZAcceleration space dimension, 加速度空间的维数
2 b+ \4 L, B8 f8 G6 UAcceleration tangential, 切向加速度+ k5 T) c# h+ `. u$ T
Acceleration vector, 加速度向量
# y) Q" o. |. f. o. ~0 }) Q, r- IAcceptable hypothesis, 可接受假设3 y2 K, a, Z, j) z
Accumulation, 累积, F, [# R4 M' Z& L5 K
Accuracy, 准确度
8 j: O: n5 m9 xActual frequency, 实际频数4 H. E' y0 |9 ], G/ U
Adaptive estimator, 自适应估计量" k& m3 L* L- F A* A1 Z) ]5 e- ^/ O
Addition, 相加0 f0 G1 w' p6 u1 e+ l- r) V
Addition theorem, 加法定理! P& ~7 k& e+ `/ |3 e% z* `9 r
Additivity, 可加性+ b9 o. c+ d% P/ o! C* L
Adjusted rate, 调整率! n) [( [0 Y5 v/ _% v) r5 D
Adjusted value, 校正值
: V& b2 g$ j1 b% A1 ?' w! lAdmissible error, 容许误差
/ x$ O, s7 f$ r% rAggregation, 聚集性
) ?8 \ I+ w9 |/ v7 }6 a& GAlternative hypothesis, 备择假设6 m' }8 F. h: p2 A8 e7 \5 A/ c
Among groups, 组间8 C/ T; b7 t* }" K7 a
Amounts, 总量5 j5 ]: m; \: k5 [
Analysis of correlation, 相关分析
7 {' Y- Y* U: \; vAnalysis of covariance, 协方差分析
" a* U" Z" Z4 P& Q# k4 c7 ZAnalysis of regression, 回归分析/ w3 \- [) [8 v* N2 m$ l- z
Analysis of time series, 时间序列分析: m. G5 `: y' q1 `- ?& b
Analysis of variance, 方差分析9 [( Q8 g1 ^! D! c
Angular transformation, 角转换
# k3 o) u5 x' F# o, i; R5 GANOVA （analysis of variance）, 方差分析8 d* ~+ Q- Q$ ^3 s; ]# l8 ?
ANOVA Models, 方差分析模型5 _( t* X; o: ]- R
Arcing, 弧/弧旋
, P$ N( w, K: n5 z. eArcsine transformation, 反正弦变换
# E+ P% p! P0 O$ B* h/ y& V, sArea under the curve, 曲线面积; [& X$ s! I% U+ U* K: a6 t3 j2 t
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
5 g* t2 R8 w/ ~2 u" u, P" nARIMA, 季节和非季节性单变量模型的极大似然估计 f3 r5 q% J% r k- K2 }0 Q+ k
Arithmetic grid paper, 算术格纸7 Q& ]" A5 d _7 J8 c6 U/ P
Arithmetic mean, 算术平均数' q0 _0 M/ p" l
Arrhenius relation, 艾恩尼斯关系
! ]/ O) v% t2 j- S4 h) H0 AAssessing fit, 拟合的评估
+ \/ c- x1 M1 B- w" t+ qAssociative laws, 结合律
, A" S9 j& r3 v$ p$ s- C \Asymmetric distribution, 非对称分布* j4 M1 L% f* c
Asymptotic bias, 渐近偏倚
3 L8 y+ d7 A6 Y3 x; q- {( D4 tAsymptotic efficiency, 渐近效率3 h' g0 Y/ t/ v5 s. I
Asymptotic variance, 渐近方差
4 f n5 H# F6 B! k2 x ~0 x9 _Attributable risk, 归因危险度
3 W$ i/ g: |" J0 rAttribute data, 属性资料
- ?0 D7 {3 _8 b& [3 HAttribution, 属性
% P* C0 c" ?: {$ L/ d. z. d( T, \Autocorrelation, 自相关1 v3 q) v, ^; N" j& Z8 m/ d
Autocorrelation of residuals, 残差的自相关
6 v/ x- }+ t) Q4 w% g9 O, u1 YAverage, 平均数- N* E6 J) ]$ _
Average confidence interval length, 平均置信区间长度
( X. y6 k i7 ]! H3 iAverage growth rate, 平均增长率
8 Z, N5 S" H, iBar chart, 条形图. }7 H$ Q2 E% G- E9 i* a
Bar graph, 条形图
" C% ^/ r5 g' t& ?Base period, 基期
* _& }6 ^1 x# [7 \; \) G! rBayes' theorem , Bayes定理
4 w; e9 P6 \8 ^Bell-shaped curve, 钟形曲线
2 d, e, }+ K5 R3 F5 dBernoulli distribution, 伯努力分布
% F- k% T g2 n O( u0 MBest-trim estimator, 最好切尾估计量
. n) J% B3 r5 Q' n, Y. D8 z$ ?Bias, 偏性
8 n2 s8 c% |; N" }Binary logistic regression, 二元逻辑斯蒂回归
2 I' |3 D7 c0 qBinomial distribution, 二项分布6 C6 o. T) P J" k7 O
Bisquare, 双平方; t( n- E2 x3 x
Bivariate Correlate, 二变量相关. D. [5 e9 U! Y0 f D
Bivariate normal distribution, 双变量正态分布; r) G: a8 g$ [) ~: j+ R B
Bivariate normal population, 双变量正态总体
. a7 c- l" P. x' x" C9 n `1 |Biweight interval, 双权区间
& b+ E( ~/ H. }" ZBiweight M-estimator, 双权M估计量; b: X p- U0 i5 q" V
Block, 区组/配伍组
' u1 V% J$ g- y7 [) }, wBMDP(Biomedical computer programs), BMDP统计软件包' w3 \" l$ G' x2 y6 [- V9 n" h& L+ L+ u- A
Boxplots, 箱线图/箱尾图) o% R1 |& W' r0 ~2 X+ r; f
Breakdown bound, 崩溃界/崩溃点$ C+ @' G5 x6 T, J. `3 h
Canonical correlation, 典型相关
: {! L7 o" b; m2 e, w5 QCaption, 纵标目( U2 S8 o, T \& R$ U& k' e: d
Case-control study, 病例对照研究, o1 m# y6 T: \/ z, N `' M% V
Categorical variable, 分类变量
$ \+ `5 c# p+ J/ ~: Y1 M4 [' X9 WCatenary, 悬链线1 R: \6 {& ^; g- B) |( q/ o" j" ~
Cauchy distribution, 柯西分布
4 \' \: }1 e& `9 K& J# V+ P6 Z! qCause-and-effect relationship, 因果关系' A4 v; w. V3 h& P1 Z
Cell, 单元7 a6 N* t' O& f2 G1 C) ]! Y
Censoring, 终检
' }1 P ]# k: f8 rCenter of symmetry, 对称中心7 o; b" F5 p: C/ s4 S4 s" v) ^" R
Centering and scaling, 中心化和定标6 p. S4 S) q' H- x
Central tendency, 集中趋势, @3 |! t4 L: g8 j
Central value, 中心值
7 D/ F) C7 w7 p# f- [: T% WCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测- z% k9 P- D$ m$ r- f
Chance, 机遇
" u% f2 W) Q. u g# nChance error, 随机误差# J j/ ^* `9 r) X4 r2 O* t1 M- V
Chance variable, 随机变量1 d$ A# @5 s& M. S) O0 Y
Characteristic equation, 特征方程% q$ G3 l3 ]* k! N" _- G; z
Characteristic root, 特征根
; K7 }9 G' f& ^# E" G+ Y" MCharacteristic vector, 特征向量
( r( A; o' H" Z( T: @0 pChebshev criterion of fit, 拟合的切比雪夫准则: F: T; Y' Q( x2 q L% h
Chernoff faces, 切尔诺夫脸谱图2 |+ D+ ^# a, Q. K |/ W# J
Chi-square test, 卡方检验/χ2检验
) S, f: k; \4 ACholeskey decomposition, 乔洛斯基分解% q# x8 B) w; w( p$ }2 s- w
Circle chart, 圆图
+ L1 i0 |- Y# y7 Z! iClass interval, 组距
4 S' P6 s! \* S$ bClass mid-value, 组中值9 y6 k) I6 ~7 U, q, {& C! D
Class upper limit, 组上限
8 a* j- a3 n% e4 |) I+ U. a, {Classified variable, 分类变量3 D+ J* [7 n6 K; J
Cluster analysis, 聚类分析, V( j# M7 R! s* z
Cluster sampling, 整群抽样
! n |% M/ S- ?) _8 PCode, 代码
, ` c) o. J- i$ y' q6 WCoded data, 编码数据8 K) g, i! L. ~, z- O) x7 J
Coding, 编码
D/ H! _/ j {Coefficient of contingency, 列联系数
; Z i3 y: w7 f1 t, [Coefficient of determination, 决定系数1 \+ ]+ j5 Q: b6 e
Coefficient of multiple correlation, 多重相关系数
# M5 P; D+ p$ C# t7 P$ cCoefficient of partial correlation, 偏相关系数
; ^! X3 G* W, E Z: Z- W3 ZCoefficient of production-moment correlation, 积差相关系数
+ O) E" M, h/ C' Y1 bCoefficient of rank correlation, 等级相关系数$ w7 g/ r* O; ]! Y4 \0 {& r
Coefficient of regression, 回归系数) n$ L$ E% S7 F
Coefficient of skewness, 偏度系数
; e) d" y6 a4 r/ j9 CCoefficient of variation, 变异系数. f9 Q h2 w! @: K& o# ]& ^; |
Cohort study, 队列研究" M# B1 u P" i( J2 b5 N/ b
Column, 列 m! I: F# x' n9 G* m9 F
Column effect, 列效应1 `( l8 b6 S G0 F. C4 J
Column factor, 列因素! Z! p% T- Z F! [9 m8 o0 i' w
Combination pool, 合并
" A# Q* o f6 l$ i* {* CCombinative table, 组合表
- y2 f# m! \3 e4 rCommon factor, 共性因子
( e# n( `5 v! D# Y6 f0 W: ^Common regression coefficient, 公共回归系数
$ r' p" g* }; C G; c8 G: o' |Common value, 共同值0 L6 y \) N2 N7 P% c
Common variance, 公共方差
7 W! d$ ~" P' z4 _1 C1 d4 \8 _Common variation, 公共变异" V) Q* D: |3 c% ]
Communality variance, 共性方差# _/ ^9 L9 o3 b
Comparability, 可比性 l% Q. i$ a" t) L# I; m
Comparison of bathes, 批比较# X/ }. w4 q$ \, D& d
Comparison value, 比较值 L5 b8 q7 g* [& S9 H3 F4 Z, @% ?
Compartment model, 分部模型2 k/ G% i( B1 q- t& d+ T% z; k
Compassion, 伸缩
% T2 a$ e6 w+ v- KComplement of an event, 补事件 O0 B/ A; G7 c/ |+ X, b1 A* N
Complete association, 完全正相关
/ J9 F, ^1 `+ {8 I5 U aComplete dissociation, 完全不相关
- D4 \3 W' n! _( ?3 fComplete statistics, 完备统计量5 o2 H! e5 _: X4 M% \
Completely randomized design, 完全随机化设计 f' ]& F5 n+ t! R+ p$ o
Composite event, 联合事件
1 t M; d* p/ e dComposite events, 复合事件
o) s: C0 n y$ c1 U3 X5 {Concavity, 凹性; ^" r5 J( P% f6 D% K% S
Conditional expectation, 条件期望) `. L+ {9 k! f7 g; C
Conditional likelihood, 条件似然
3 E2 w' P- \5 k& Q( OConditional probability, 条件概率
7 M4 c5 \% f# A- qConditionally linear, 依条件线性
7 n; B! E( V: P, P, }$ W5 @Confidence interval, 置信区间( d1 Q Z8 x/ }, U
Confidence limit, 置信限& {' P: z$ b( q
Confidence lower limit, 置信下限+ W5 U( @2 @. E8 x
Confidence upper limit, 置信上限
& ]7 p9 H3 {6 |* D- o: fConfirmatory Factor Analysis , 验证性因子分析
4 D4 @, O* ]+ V; p4 S: c7 Z ^Confirmatory research, 证实性实验研究5 [: R+ B& a% k7 B% ~
Confounding factor, 混杂因素8 @, K0 G3 e$ l& W5 E) ~
Conjoint, 联合分析& d Q5 c, x ~( |8 M8 ^
Consistency, 相合性
# ?) v4 _+ ~% u6 j6 t# OConsistency check, 一致性检验' ?/ K8 w5 l. ~. C* i
Consistent asymptotically normal estimate, 相合渐近正态估计
; C7 t# f& }' y1 S0 Z- mConsistent estimate, 相合估计7 h% H' Q! L# q$ ^) j
Constrained nonlinear regression, 受约束非线性回归# o8 D+ X6 I7 {
Constraint, 约束
- j; C" |. m0 ^' y K3 ?Contaminated distribution, 污染分布
/ |& {9 @ v3 H. o7 H* ZContaminated Gausssian, 污染高斯分布
6 i1 Z% ?' P) qContaminated normal distribution, 污染正态分布0 ~ |& v; ?/ g" X
Contamination, 污染
' s% G& G, M+ K* ZContamination model, 污染模型
9 @3 Y7 ^0 r) |8 u3 _Contingency table, 列联表
' l! }- d% T# x4 P+ k6 `Contour, 边界线! ~2 Z5 h, _; n j) _
Contribution rate, 贡献率$ V' E9 y0 t$ g
Control, 对照
! Q, b$ g/ T6 E$ h$ v5 @Controlled experiments, 对照实验
1 @, ^' B/ W7 C8 A( A' CConventional depth, 常规深度
; g" m5 z4 `% v+ t$ r, H8 m( k% ZConvolution, 卷积
% A" q! m3 a7 a1 t7 h5 [/ \Corrected factor, 校正因子! E. P' G6 h' G e9 h1 A/ O" ]
Corrected mean, 校正均值: l0 B/ v$ |) [" }
Correction coefficient, 校正系数
/ b! `) B8 z8 z/ _Correctness, 正确性
; B' v& [3 H. B5 c* mCorrelation coefficient, 相关系数
2 q6 k; _) q: ]. b7 GCorrelation index, 相关指数/ Y% X) c/ w4 R7 s# q {& z5 g
Correspondence, 对应9 b5 o3 i$ Z+ v1 f" ?3 D/ t
Counting, 计数
e. Z+ G* b, s. A% _6 _Counts, 计数/频数
2 U* d; j! l. e! t4 P7 J- bCovariance, 协方差# Z) x' y! R5 ^6 W, ^" h8 }9 O2 G6 A- {2 }
Covariant, 共变 $ Y! \ z8 p$ W; @ k
Cox Regression, Cox回归
# B+ s" V# n+ E. ]7 jCriteria for fitting, 拟合准则
# X/ w/ X, e& [6 G( @- q% s/ CCriteria of least squares, 最小二乘准则
4 T5 ] g, v8 ]0 k7 H% H ~; VCritical ratio, 临界比9 b8 E/ }' h$ m% \4 x
Critical region, 拒绝域3 I* P" ~* R: p
Critical value, 临界值
' O$ I* ^% h6 M) MCross-over design, 交叉设计
6 N5 `1 J8 X4 k* }% n# y% U) ?# GCross-section analysis, 横断面分析7 P. W$ a3 [% ^: u* I
Cross-section survey, 横断面调查
) @0 {7 j/ F* U7 w1 v: }Crosstabs , 交叉表
7 L5 a# y( [1 w! ECross-tabulation table, 复合表
, Y) k/ l2 y8 l' Z6 jCube root, 立方根
* @9 B6 P( N- r4 dCumulative distribution function, 分布函数% I' X- y, y* ?
Cumulative probability, 累计概率3 Z+ [! n) @1 ^, _
Curvature, 曲率/弯曲
3 J. I# q% O F7 ^Curvature, 曲率
0 p" l- u' g( W& ~$ F! t2 \" O& ECurve fit , 曲线拟和 ; A! C0 E% V) N9 z- m! Y2 i" a0 g
Curve fitting, 曲线拟合) i6 x" _/ m9 J) ^2 e
Curvilinear regression, 曲线回归2 Q9 g2 u4 ^$ x$ o
Curvilinear relation, 曲线关系' R5 e% B3 K$ v$ @+ C% J. ~. N
Cut-and-try method, 尝试法2 H0 U0 h5 O+ ~
Cycle, 周期
/ J" v; U4 C5 D& N1 w) Y& o9 QCyclist, 周期性1 U: E. ^/ ^) z, ~" O
D test, D检验* }8 t5 p$ l. L& N& Y% C/ s, H: }
Data acquisition, 资料收集- Z# \9 o0 {: w p( x$ x
Data bank, 数据库
8 l* |9 g+ a# LData capacity, 数据容量
$ o. ?3 I1 d! h- N& L: hData deficiencies, 数据缺乏& f( k; G/ j: r6 X
Data handling, 数据处理# ]% p( w5 A& E; _
Data manipulation, 数据处理
8 s+ e d7 V' s# x: [' QData processing, 数据处理
# X% q& S1 c. P7 X0 RData reduction, 数据缩减
1 z) \! l6 V2 f8 V; UData set, 数据集, [+ U, l( L/ o7 V% `) i
Data sources, 数据来源
* T5 j/ V& x% |8 ]* QData transformation, 数据变换8 y4 Z# e( o/ X
Data validity, 数据有效性
) d R) W" A% s& K$ V; @' tData-in, 数据输入2 [% ]3 b) B7 m7 `8 L; @% X
Data-out, 数据输出
2 G5 Q5 W3 s' h2 s$ w' j, {2 vDead time, 停滞期0 d5 ?3 Z4 O2 Y6 {& ~
Degree of freedom, 自由度9 U% t9 ]; R' F. _# s1 U
Degree of precision, 精密度* r+ @" g3 [. H& V0 C# V }
Degree of reliability, 可靠性程度, h( T g8 N! t& `' T L
Degression, 递减
# x! @# O2 L4 ^) ~) b HDensity function, 密度函数) n+ {1 G K c9 N7 \
Density of data points, 数据点的密度5 h2 |( n2 l# \* s
Dependent variable, 应变量/依变量/因变量
2 s. B; O, Z3 E1 m% ?+ I* w# h8 `Dependent variable, 因变量& h2 w/ |0 A3 a) _! v
Depth, 深度
& X) G1 B; ]9 F" O8 M4 i& p" j" {Derivative matrix, 导数矩阵
- J8 A, @, h. |3 p* J1 c; oDerivative-free methods, 无导数方法
; z- }" B( A# c9 C: EDesign, 设计- i- O+ z4 }! Y
Determinacy, 确定性
2 V/ O7 h! A9 u" L/ Z: M; }Determinant, 行列式
$ e2 L' a6 ?" `Determinant, 决定因素
% C+ V$ H x" }: Z- _Deviation, 离差 ~+ s" {4 L) q( R
Deviation from average, 离均差/ X8 }$ u. X1 J/ U9 |) V" V7 a
Diagnostic plot, 诊断图
* P+ i9 d; F' ]& i. @* i0 F0 }& FDichotomous variable, 二分变量% ^! i6 U4 j1 e/ a; L+ O: }* w
Differential equation, 微分方程, C; ^' N3 d X% N, P
Direct standardization, 直接标准化法; U+ r) Z8 c: ?1 y O7 g
Discrete variable, 离散型变量' S6 d: F8 m; M) Z V
DISCRIMINANT, 判断
. \6 k4 t# @9 uDiscriminant analysis, 判别分析0 x8 ?" ? t Y8 T4 z, ~) t3 ]
Discriminant coefficient, 判别系数
! t6 V( @* m* t6 ?/ C7 _Discriminant function, 判别值: E8 d/ ]; d' s& [7 O# |' b) i% i
Dispersion, 散布/分散度+ }" v: s7 @! z4 s# u& U
Disproportional, 不成比例的
[( R1 M! a L- r. p; {9 bDisproportionate sub-class numbers, 不成比例次级组含量, B/ P; J# b- F; c- P7 h+ X
Distribution free, 分布无关性/免分布) G2 q, [ P- s3 b. S: {% f7 L
Distribution shape, 分布形状" e5 B3 c- d m" R! V
Distribution-free method, 任意分布法' Z% Y: G. x% J R
Distributive laws, 分配律
5 L2 d B0 g: h ADisturbance, 随机扰动项& d: _' D( B1 k6 k! M3 t$ P
Dose response curve, 剂量反应曲线9 _6 H) a0 J, t8 D8 J, ?; |
Double blind method, 双盲法9 D- _8 e9 W2 W& o& x! N' u
Double blind trial, 双盲试验5 P( |+ K! Q, f3 m
Double exponential distribution, 双指数分布
( M; ~/ p* j1 ?4 M8 V" cDouble logarithmic, 双对数
) N, h, A9 [3 v1 a* ^Downward rank, 降秩
4 _5 h# N, e5 z6 s4 X1 y8 {Dual-space plot, 对偶空间图7 z1 K& O1 e$ {# |, V
DUD, 无导数方法
! {3 C' @# w7 v( i& c4 o4 y6 mDuncan's new multiple range method, 新复极差法/Duncan新法* S) c) R( n* m' R5 t$ v" l6 s
Effect, 实验效应
' Q* S+ _$ q$ U. O, F) `6 MEigenvalue, 特征值
. ~$ ^" } k( `0 \Eigenvector, 特征向量
Q, M) n9 T/ ^0 }7 }3 }Ellipse, 椭圆
# Y9 d R9 s! r, {7 x8 H! ?) O. tEmpirical distribution, 经验分布( D9 A7 E! X# t) e* I8 q% m5 Z
Empirical probability, 经验概率单位
4 @. q# Q) N( M% i; Y% REnumeration data, 计数资料( B( o# m6 r0 ^8 c2 d1 ~( ^5 D
Equal sun-class number, 相等次级组含量* Z( p7 O8 X3 E; L" S" o
Equally likely, 等可能
# R; U: x6 n& j- Y$ C; T. `. kEquivariance, 同变性
6 N# X+ ]& V! }9 u8 Y5 qError, 误差/错误
8 @8 J6 I |( d$ mError of estimate, 估计误差
' ?" Z2 F! H ?5 SError type I, 第一类错误9 o( u% q$ J. N2 I9 V
Error type II, 第二类错误
8 \8 c: R" B1 R+ B5 a$ a) I3 k( W) ZEstimand, 被估量
) M8 w h: a- T/ U/ W+ X1 wEstimated error mean squares, 估计误差均方
& i/ g7 h' F! ?' e" ^* q+ HEstimated error sum of squares, 估计误差平方和
( M8 t1 m* S- j: P' SEuclidean distance, 欧式距离. k2 }, `% D; y; v: Q
Event, 事件
4 z+ B! l* M9 @3 i. M! [Event, 事件
" U; S9 m0 j; m5 w/ LExceptional data point, 异常数据点8 f- g. d+ ]4 q5 Z/ g7 p9 W6 A
Expectation plane, 期望平面
( N) @0 j8 w- P( l' Q6 fExpectation surface, 期望曲面6 R% W% B6 Y' [; m
Expected values, 期望值
, D; w1 U$ A, b& ~' M1 P4 W: m0 B1 |Experiment, 实验) v9 c# t" Q6 X) B
Experimental sampling, 试验抽样( P, D# {0 J3 X7 S' W) W U% b
Experimental unit, 试验单位
5 b& z! m* c8 s# VExplanatory variable, 说明变量
1 M/ G* V! s! M- c' ^ hExploratory data analysis, 探索性数据分析
# F8 {+ n* e- l+ _9 RExplore Summarize, 探索-摘要
0 k5 v3 m+ B$ g7 @9 p% r6 fExponential curve, 指数曲线! q0 x1 b f/ F
Exponential growth, 指数式增长( A) ?. e. A7 t/ u
EXSMOOTH, 指数平滑方法 ) W5 x( d; i' L/ D d
Extended fit, 扩充拟合
0 b- ?! H) [- H6 NExtra parameter, 附加参数
% @: I* h+ Z, U$ ]Extrapolation, 外推法/ a- O5 c7 d5 r) b0 t9 [/ d7 m( v" B
Extreme observation, 末端观测值* M3 I K) U% J' C6 Q" U T
Extremes, 极端值/极值7 f7 Z7 {4 T6 J) G( u
F distribution, F分布
) ~3 I3 i/ i4 A4 H# ]: s7 eF test, F检验
; j! K8 T7 U @6 {, R$ [: oFactor, 因素/因子% s7 g G0 `( \. k4 l3 b
Factor analysis, 因子分析; E1 X! h* h, Y) e5 i7 k
Factor Analysis, 因子分析
2 e" _0 X& X0 i4 z1 ?- e: k# hFactor score, 因子得分
( q5 f; Y. K: u+ iFactorial, 阶乘' N" K+ n1 K, E
Factorial design, 析因试验设计
1 R6 S; d/ Z- E _ D1 mFalse negative, 假阴性
; n" W) B# s1 d( ^False negative error, 假阴性错误
" o7 G/ \9 z6 w* W5 f+ y& uFamily of distributions, 分布族
/ S0 l) Z( O0 N3 P# RFamily of estimators, 估计量族5 u8 _7 F( [, k- Y/ y
Fanning, 扇面
3 Y4 T( K* y! D7 \* E3 lFatality rate, 病死率' h" i4 k7 x! B. G* {/ i$ m
Field investigation, 现场调查3 h9 K, Q" C) y, N6 {: P
Field survey, 现场调查3 z' J1 c7 Q" [
Finite population, 有限总体
K0 y; y0 R5 ]; ?Finite-sample, 有限样本
' S8 o4 X# f( H! i) ?First derivative, 一阶导数+ T/ `2 r d# i
First principal component, 第一主成分- B- ]5 O: y( G
First quartile, 第一四分位数* i0 D& o: w5 `. X+ C
Fisher information, 费雪信息量
- Z$ p! W, \6 ]Fitted value, 拟合值
. G' A `5 G% Z* ZFitting a curve, 曲线拟合
- m; U6 |3 [1 ^# I2 `Fixed base, 定基
o% b5 p) @/ _+ n# b: tFluctuation, 随机起伏
9 @$ @, n8 [* E$ RForecast, 预测8 l; f e& \. d5 C
Four fold table, 四格表 S( j A6 N. W* [
Fourth, 四分点6 E! m' X9 n$ q1 {( r
Fraction blow, 左侧比率7 @0 e2 P1 N0 n& l' ]5 f2 D
Fractional error, 相对误差1 e1 O. x) t6 `
Frequency, 频率' V5 ~4 S6 U8 D* k
Frequency polygon, 频数多边图 { Y4 V) E. }% ^4 H
Frontier point, 界限点
7 t; @2 e1 A GFunction relationship, 泛函关系$ ~. g3 h8 T& U! [# s% V# f
Gamma distribution, 伽玛分布
3 \0 B' _+ B0 V* P+ R# jGauss increment, 高斯增量/ ~2 y2 q/ {. y3 H) M
Gaussian distribution, 高斯分布/正态分布. o1 B6 L7 ^/ S5 }
Gauss-Newton increment, 高斯-牛顿增量4 H( `5 W9 [6 K: S5 _* X- M
General census, 全面普查* D, g. t0 x: d6 p1 R
GENLOG (Generalized liner models), 广义线性模型
( `6 r8 R! t% ~Geometric mean, 几何平均数' n2 Y6 |/ J+ K6 e F
Gini's mean difference, 基尼均差
6 f& e. s1 Z/ ]( ]( ^GLM (General liner models), 一般线性模型
1 l5 k1 G W/ }* X- IGoodness of fit, 拟和优度/配合度
2 n1 F0 }" H) ]. Q* yGradient of determinant, 行列式的梯度! V6 k0 G9 D4 f5 j; R& A, F
Graeco-Latin square, 希腊拉丁方8 ?, \% P# ~+ x g1 y
Grand mean, 总均值4 F1 }6 e+ e+ j3 v9 f
Gross errors, 重大错误7 l" N4 Z. Y7 Y2 P- v5 f
Gross-error sensitivity, 大错敏感度0 S, m. e. Q) _, ~: Z0 A1 D
Group averages, 分组平均/ a& j( S5 L1 x j+ w! }7 u
Grouped data, 分组资料/ m6 m2 n$ k# T# d& M: B
Guessed mean, 假定平均数# p3 _: m8 S, w F# f
Half-life, 半衰期 u( Z; m0 d) z4 S& y3 J% M
Hampel M-estimators, 汉佩尔M估计量/ ? t" R* K; V/ m. p
Happenstance, 偶然事件8 c1 w7 e; D5 d
Harmonic mean, 调和均数
% j" H% B: G" _2 n/ GHazard function, 风险均数8 ~5 s$ K9 |* p: n: F
Hazard rate, 风险率8 h( T1 g) T" ^3 D9 T2 ^3 X* |
Heading, 标目
8 J# Q7 m5 K: a9 R/ SHeavy-tailed distribution, 重尾分布- J: [% o4 Z! i
Hessian array, 海森立体阵
% b2 F5 a9 K) I2 i9 UHeterogeneity, 不同质
' y4 {8 m i! [! V; l* l1 iHeterogeneity of variance, 方差不齐 4 H" g6 v V4 E
Hierarchical classification, 组内分组# @7 S5 y( g! a3 @) N
Hierarchical clustering method, 系统聚类法1 N0 T& U- O) m' k! n1 N7 w
High-leverage point, 高杠杆率点
+ G4 y! t+ Y) m NHILOGLINEAR, 多维列联表的层次对数线性模型3 i/ Q) y i( B. b5 X, s8 d
Hinge, 折叶点. l: B' n# L9 C: R* C) S
Histogram, 直方图
! B3 w7 x! n6 v: N+ A9 lHistorical cohort study, 历史性队列研究 # G& O$ n ]) s
Holes, 空洞
4 ^+ p5 W3 E% _! N1 `HOMALS, 多重响应分析; e/ _4 ^& l$ l5 ?) B' G" s
Homogeneity of variance, 方差齐性
' [+ l# v2 [4 x+ X: RHomogeneity test, 齐性检验" P; u9 R5 |: `1 v3 M% }, h6 @3 B) L
Huber M-estimators, 休伯M估计量
# k; d7 q1 V, b/ THyperbola, 双曲线' G& j- `, f# x+ \2 H4 }6 E
Hypothesis testing, 假设检验" ? Z$ h9 L7 d$ H
Hypothetical universe, 假设总体
( y$ b: H9 E/ c( ^% yImpossible event, 不可能事件9 q4 u% d+ N9 f7 a
Independence, 独立性
! e* G( j I8 @9 lIndependent variable, 自变量
& v) n1 U% E. Z$ j4 L) \5 `Index, 指标/指数
! _. z; ?7 U6 Y0 s- q' BIndirect standardization, 间接标准化法) W2 x1 ]$ k9 Y6 D/ v. }
Individual, 个体2 T! K8 `* g4 ]9 L2 ]
Inference band, 推断带
3 v0 ~9 Q4 g: M- Q6 u# O7 yInfinite population, 无限总体; [, i: [2 E6 J
Infinitely great, 无穷大7 K- a6 J5 V5 F* c( b& ?2 l9 Y
Infinitely small, 无穷小
$ [! v, m" @% t! x- D* nInfluence curve, 影响曲线
# X8 P! ]9 S! V1 Y7 D+ a% d( _6 wInformation capacity, 信息容量& ~1 I/ L9 f' e3 p5 U) v, q9 Y9 U
Initial condition, 初始条件
- ^, [* A$ N$ h( r& nInitial estimate, 初始估计值
# @' W5 ^# d6 vInitial level, 最初水平; v" h. o4 g. _5 K6 i7 x9 H
Interaction, 交互作用5 T- {' c# ]" M B% ]3 g4 t# l2 t
Interaction terms, 交互作用项' M, _: \7 Q6 k1 @ w
Intercept, 截距4 T; z/ _/ T% p2 R6 C8 u" b6 v
Interpolation, 内插法
- ~# P' K% V |; s0 D5 }& T* \! NInterquartile range, 四分位距/ e* \7 U. h: q2 I+ O
Interval estimation, 区间估计/ n. ?( z) [( x
Intervals of equal probability, 等概率区间$ { T) ]( [9 C7 Q' S8 x$ _
Intrinsic curvature, 固有曲率
1 H. T8 w: l6 b) {! [, b9 uInvariance, 不变性 }! h2 y. _. |5 ~
Inverse matrix, 逆矩阵6 L$ M: ?, N+ L
Inverse probability, 逆概率+ N" f9 P; E4 u
Inverse sine transformation, 反正弦变换
9 i; A2 v3 [2 z l6 E* |Iteration, 迭代
9 q. ]1 Y$ j! _/ |Jacobian determinant, 雅可比行列式
7 ]# j6 }4 Y; ]: c- kJoint distribution function, 分布函数
1 I3 B- S1 _+ R$ lJoint probability, 联合概率
4 Q9 D; q5 ]. w: K# ]Joint probability distribution, 联合概率分布0 X& a3 T/ s$ I8 U' v; u5 S) O
K means method, 逐步聚类法
1 K2 g7 {* y# T1 ?Kaplan-Meier, 评估事件的时间长度 ( C- r) ^. [' `& |5 s8 W+ r
Kaplan-Merier chart, Kaplan-Merier图+ B# t* ]% s7 L1 p9 J' r9 ^$ Y
Kendall's rank correlation, Kendall等级相关
8 k6 Z) [, ~6 `% P6 OKinetic, 动力学
, T; [+ N& R1 w2 \/ U3 E+ t( g' b- [6 KKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验* |9 ~" v( A) r. _
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
6 G) }8 l. C; ?& _9 `Kurtosis, 峰度
' p' Z# r+ S- uLack of fit, 失拟; w$ L3 X* W0 C% Q
Ladder of powers, 幂阶梯
0 [* Z' {' A% \; {9 \Lag, 滞后
' @# b0 ], r9 a: n% TLarge sample, 大样本
1 N; @. f0 x5 bLarge sample test, 大样本检验
- {/ Z. X$ I- ?. d; ~Latin square, 拉丁方, n, ~# u( v" j; `3 s+ {& {/ l7 ?$ E
Latin square design, 拉丁方设计
; |$ Z9 z' C: q0 W" C7 n8 ^Leakage, 泄漏
) l- T( @" u b- OLeast favorable configuration, 最不利构形
" l7 Z2 \$ d0 V% j; l' A0 M) kLeast favorable distribution, 最不利分布
' s6 k& I/ i" a" O/ zLeast significant difference, 最小显著差法; X( w( O0 L) c1 G3 g' A( n
Least square method, 最小二乘法
7 f @0 Q% j/ W i' ZLeast-absolute-residuals estimates, 最小绝对残差估计
* t$ ]) b( H$ M3 K* K e; ?Least-absolute-residuals fit, 最小绝对残差拟合
. P) C3 a; T6 B: V; {Least-absolute-residuals line, 最小绝对残差线
4 B1 D% g/ p- V3 ^/ v% v5 ~1 ]$ iLegend, 图例
* r. w. c6 K* [1 d6 Z# u- OL-estimator, L估计量# ?% G3 Y& H. k1 E
L-estimator of location, 位置L估计量
6 q) g" j+ j. `' d5 L- gL-estimator of scale, 尺度L估计量. h- y9 i) @* [- u6 k
Level, 水平7 p4 v/ x( b/ g. W( b4 c' n
Life expectance, 预期期望寿命
/ M1 t: x0 S6 u1 g4 KLife table, 寿命表. K2 z# Z7 \1 a/ o
Life table method, 生命表法
* t/ D' |5 F g* [6 q! v) nLight-tailed distribution, 轻尾分布
+ m4 G: W. l+ V6 B- bLikelihood function, 似然函数
& X4 H% a. ?. n/ w$ t3 e$ j0 KLikelihood ratio, 似然比
" j9 t7 h3 A" i( H& r4 h0 s; aline graph, 线图
5 Z4 U3 H( v1 }6 zLinear correlation, 直线相关
# p7 E: B' F/ qLinear equation, 线性方程
: s4 l4 s1 s" N4 WLinear programming, 线性规划% ~' U4 O. D/ O* `1 p2 H/ N
Linear regression, 直线回归0 [# |( a; a Z" o6 a
Linear Regression, 线性回归
! Y! t R7 ~( @6 Q- A% a4 Q9 s* \( q& CLinear trend, 线性趋势
/ W! V9 S. C/ a: |* LLoading, 载荷
1 r# T3 E$ n, `: uLocation and scale equivariance, 位置尺度同变性6 b5 n" I6 C8 W3 [
Location equivariance, 位置同变性# W! Q* ]) l3 \- } z5 |0 g
Location invariance, 位置不变性) W1 v6 `! j! A( ]0 L8 b w
Location scale family, 位置尺度族
4 S1 @0 A8 u/ cLog rank test, 时序检验 $ D. h! P& Q* J; V. Y/ U. A
Logarithmic curve, 对数曲线
% Z. {& p0 i+ N5 _Logarithmic normal distribution, 对数正态分布
% Z C% Z) X' zLogarithmic scale, 对数尺度% o8 T" w" v- U% |0 {
Logarithmic transformation, 对数变换& Z( `' a0 a: v) R
Logic check, 逻辑检查; X6 I& U2 [) j- n, Q
Logistic distribution, 逻辑斯特分布7 x: X3 o0 H; E: T* J6 ~ W
Logit transformation, Logit转换
+ T1 X0 L" X8 A3 F$ j B6 |9 oLOGLINEAR, 多维列联表通用模型 0 ]) [2 y2 c/ z' J1 C/ K& c: @
Lognormal distribution, 对数正态分布' x; q# ~; I) e
Lost function, 损失函数; o2 _2 w8 p; Z8 ^0 ]. N r5 U
Low correlation, 低度相关
3 [: [7 i& ]! X ^8 V6 GLower limit, 下限2 t0 l: q! ]4 A% b* s$ t r
Lowest-attained variance, 最小可达方差
. \5 y6 t5 M1 DLSD, 最小显著差法的简称
, H5 j& ~, a# g( t, N% f0 r# cLurking variable, 潜在变量5 ]) K# c' G+ m. T9 t5 J @! u/ i
Main effect, 主效应
0 P7 O( u- K5 y0 w$ g- kMajor heading, 主辞标目% d+ F- b& q' [) J2 E/ ?8 {
Marginal density function, 边缘密度函数
, s8 X! p7 ]8 cMarginal probability, 边缘概率
/ ~* f' F( B, l6 aMarginal probability distribution, 边缘概率分布& m& \5 I2 ?# P! h8 Y
Matched data, 配对资料
. `# I5 O9 B; h% `1 ]$ G( e6 NMatched distribution, 匹配过分布, Q1 g, k7 |$ S7 V( {
Matching of distribution, 分布的匹配
p0 F. v+ P0 m' s" H7 jMatching of transformation, 变换的匹配
( }% H* s' L* y# {5 `. A! G! XMathematical expectation, 数学期望$ |8 W" i$ L; u4 N- F- ^0 h m
Mathematical model, 数学模型
$ ?4 g! w. }+ C: H6 S5 T+ XMaximum L-estimator, 极大极小L 估计量* ]) H' U" f P; L- O
Maximum likelihood method, 最大似然法0 [3 z G- R k* q+ t
Mean, 均数
8 K( Y m, E8 Z1 W8 {( `4 `Mean squares between groups, 组间均方
( I K, E7 T$ L8 mMean squares within group, 组内均方
' S* K; {) ^% t0 pMeans (Compare means), 均值-均值比较
% ^. N" {' `6 X7 zMedian, 中位数# }! c: A9 z& }( y( v. z& S2 H( e
Median effective dose, 半数效量6 ?/ O$ B" V" p- l9 v! j
Median lethal dose, 半数致死量
( l9 m# H1 Q3 U1 e. G2 {; DMedian polish, 中位数平滑+ }+ C; g0 T9 V8 K
Median test, 中位数检验* ^. K9 D! i5 t( G/ F. d5 B/ b# s
Minimal sufficient statistic, 最小充分统计量
7 P# Z! b9 Q F! L1 M7 WMinimum distance estimation, 最小距离估计
# H6 K3 Q, q# [) y6 {! eMinimum effective dose, 最小有效量7 C) H: R9 c, ]6 x' d
Minimum lethal dose, 最小致死量
* }; ?9 r7 q! rMinimum variance estimator, 最小方差估计量6 H. o$ ~8 l5 m, k1 W
MINITAB, 统计软件包
6 o" ]/ ^( L1 ~( N1 CMinor heading, 宾词标目! R0 i3 O4 o* H: s
Missing data, 缺失值
6 J# K" e. A/ u9 SModel specification, 模型的确定
- l5 |5 M' P9 `6 @Modeling Statistics , 模型统计
: s; x" |" ?: ]) t: D* ^" j4 AModels for outliers, 离群值模型
, x, `$ J2 m: \1 }7 K7 A3 `Modifying the model, 模型的修正
. I6 @: |0 C4 W; j3 D6 g+ ZModulus of continuity, 连续性模1 \+ d, M: J" f$ \) E
Morbidity, 发病率 4 Y( N6 W3 [" p) }: @! U+ _
Most favorable configuration, 最有利构形
) D) X3 ^ c! J: T5 C& KMultidimensional Scaling (ASCAL), 多维尺度/多维标度
( c% g4 Z( E& `& H5 @# ~! {4 o) R0 \Multinomial Logistic Regression , 多项逻辑斯蒂回归& n6 @: B7 x/ ~7 W4 U2 z3 A2 h
Multiple comparison, 多重比较3 g2 L1 n" r8 ?* b/ _: Y7 Q
Multiple correlation , 复相关
- \" A2 |9 v# t$ Y; SMultiple covariance, 多元协方差
" L+ U- M) z+ J9 e) b- E \Multiple linear regression, 多元线性回归
+ L4 g: _7 T0 [! x% x+ z% dMultiple response , 多重选项8 C8 J4 m( L# f c4 f& [. y
Multiple solutions, 多解/ N z( F+ I% {! j
Multiplication theorem, 乘法定理/ h+ A+ I- {: t; V. L( j
Multiresponse, 多元响应' E( o6 ]; S0 p0 y/ e! z
Multi-stage sampling, 多阶段抽样# A2 } U1 c# \ B4 \& Z2 f& O
Multivariate T distribution, 多元T分布9 S+ C# h) b! T! Z
Mutual exclusive, 互不相容0 F9 H/ N; w( P- Z
Mutual independence, 互相独立
# O( O% g B/ I. w& A3 wNatural boundary, 自然边界9 c* \7 g( h; Q; s: I) s
Natural dead, 自然死亡
1 G+ _( { x) e: X+ A7 T+ SNatural zero, 自然零. y4 T) k0 Y/ X8 F# L
Negative correlation, 负相关
- D/ _6 m+ b; ~. lNegative linear correlation, 负线性相关
. E) v5 I/ d- |7 t3 ~6 SNegatively skewed, 负偏
6 g& Z" ]' Q+ ]# v. j4 ]/ mNewman-Keuls method, q检验
0 o8 b* C8 G- s7 |1 c1 sNK method, q检验* g' ~5 X( B( ^% c2 K% ?: ] D
No statistical significance, 无统计意义# s( ~! l; _" c0 Y
Nominal variable, 名义变量
2 @3 G+ y2 F+ BNonconstancy of variability, 变异的非定常性- }* M# @1 Y$ p, l2 u) x
Nonlinear regression, 非线性相关
' o8 t" l' M( F: a' Q% o" Z$ c+ PNonparametric statistics, 非参数统计7 D) m8 I: _5 |/ G$ s
Nonparametric test, 非参数检验; a$ q1 G, s7 c B; a. e* O+ x$ o
Nonparametric tests, 非参数检验, l( U- U$ M9 K& q5 \9 ?6 G! x% ^) z
Normal deviate, 正态离差0 u- P! y% V4 n e; J7 O5 T
Normal distribution, 正态分布
8 t+ \% q# ^1 h8 x2 DNormal equation, 正规方程组8 J% g* x3 q1 M7 P( m) k5 X
Normal ranges, 正常范围& Z# i! t( ~ d6 u$ r+ A
Normal value, 正常值& V+ B0 d" L6 Q
Nuisance parameter, 多余参数/讨厌参数
3 g, ^/ p A) ?! q5 tNull hypothesis, 无效假设
) `2 n) E# R- S FNumerical variable, 数值变量
& z0 M5 B' h& oObjective function, 目标函数
' _$ a" ?# u6 \! I5 t3 `0 uObservation unit, 观察单位0 Z, V2 _9 k" ]/ F) Q
Observed value, 观察值% A9 l) W8 Y; g8 x, j
One sided test, 单侧检验' g5 |1 O3 y" V; z$ d
One-way analysis of variance, 单因素方差分析
6 [+ j0 C7 V5 H7 J# M3 SOneway ANOVA , 单因素方差分析9 a- K) {2 `$ g2 a% K0 G
Open sequential trial, 开放型序贯设计, n, e) C/ a8 l, \4 P9 b6 l; r
Optrim, 优切尾; w% w4 ~( J! H9 p* h5 e
Optrim efficiency, 优切尾效率* S8 y0 w" P; M5 U* w! @0 W/ R: O
Order statistics, 顺序统计量3 T8 a* u1 k& {
Ordered categories, 有序分类% Q, z9 D- o' _$ S' O6 z* i5 E- H
Ordinal logistic regression , 序数逻辑斯蒂回归/ d7 } y7 [9 k7 I
Ordinal variable, 有序变量: ?7 E1 \1 H' @! ?: e e& h6 t! l
Orthogonal basis, 正交基
7 ]4 S; H5 z2 {% T4 W8 H$ tOrthogonal design, 正交试验设计
7 r; Z _; v% \/ xOrthogonality conditions, 正交条件0 g' E; t2 v9 X# ]/ n' L* i
ORTHOPLAN, 正交设计 . `& d, \9 ?3 t2 e# |% r
Outlier cutoffs, 离群值截断点
+ B5 L2 w. X9 B: fOutliers, 极端值
: @0 D, C8 G; d0 P& O# `7 Q/ ?OVERALS , 多组变量的非线性正规相关
$ f; ^ Y5 h' Q) ]) zOvershoot, 迭代过度
9 a+ J# v c2 \) ` t( dPaired design, 配对设计
5 U1 |5 A6 t6 VPaired sample, 配对样本
+ G/ ~) x. E. r3 k3 r4 Z6 _0 i( }Pairwise slopes, 成对斜率
* v7 I9 X9 G* E Z: u( w7 xParabola, 抛物线
( q, j3 f4 T8 R( ]% E7 p4 R0 u. OParallel tests, 平行试验 A9 Z( }9 ~. R+ _ P, M2 U& l
Parameter, 参数' h0 l0 ~0 x# |( Z
Parametric statistics, 参数统计
" ~- a5 M+ D" a- u' JParametric test, 参数检验5 f& ^* r9 D* d" O
Partial correlation, 偏相关. G2 \1 v W: A+ k
Partial regression, 偏回归" p) U; B& U; @* K4 b
Partial sorting, 偏排序5 M( \. K* s) N9 ~. \
Partials residuals, 偏残差; {; C9 C& |7 Q; w
Pattern, 模式
2 ` t( O5 t3 x+ L$ iPearson curves, 皮尔逊曲线! J1 E0 h1 ~# q9 L* i9 A
Peeling, 退层( U1 e2 b3 ?* i- H F
Percent bar graph, 百分条形图
9 {6 j+ b" S0 i: s3 N, SPercentage, 百分比
3 C1 O, X# l5 ` V5 R' IPercentile, 百分位数: A* {6 n# X1 w% G
Percentile curves, 百分位曲线7 m$ l9 M5 h& @4 c+ l( ^
Periodicity, 周期性
. C3 v2 F: _* c9 j w; L) `Permutation, 排列
3 ~# g: R0 j) n0 j# wP-estimator, P估计量6 M0 K6 s8 w( v2 d$ h
Pie graph, 饼图$ F. h' \- u; a$ W: R' }2 P
Pitman estimator, 皮特曼估计量
9 R5 {) ]9 O$ c# p- Q7 H/ t4 R/ @: jPivot, 枢轴量5 g& d/ A4 X2 M4 c# K* [6 K
Planar, 平坦
5 g5 Y) U2 @2 T+ u) M; K9 ^Planar assumption, 平面的假设3 x& a- Q1 R2 w, g1 s
PLANCARDS, 生成试验的计划卡0 n# ~8 g v% v5 |
Point estimation, 点估计% O- \) O4 U& |5 d* v* M; [
Poisson distribution, 泊松分布
6 a2 y" L: H z% j% }& m: W2 f7 e) U: gPolishing, 平滑# A9 ]% f+ N+ u8 ~ m% y
Polled standard deviation, 合并标准差, X7 x3 o* A4 t
Polled variance, 合并方差
8 q- n7 E3 i$ wPolygon, 多边图# W4 H d T* i& B9 C7 U k- S8 R
Polynomial, 多项式2 |+ t8 i( K, f0 @- v5 G
Polynomial curve, 多项式曲线
7 X, y3 j; M# B! t) dPopulation, 总体
) N( ^+ }, Q! BPopulation attributable risk, 人群归因危险度
3 P. M; P \0 I% VPositive correlation, 正相关
' A/ z/ F+ Z% u+ t/ C6 PPositively skewed, 正偏
9 E) t& e1 } R& ~8 K0 z, OPosterior distribution, 后验分布
! j' Q) M- y: S/ }' V fPower of a test, 检验效能6 \' }. m6 y/ Z. S; H7 u
Precision, 精密度6 Y7 R. N# c1 G3 l
Predicted value, 预测值
6 {1 n0 y# L+ Q; l. L$ G4 tPreliminary analysis, 预备性分析
- k( K2 m, o0 c6 r: V! k) b4 mPrincipal component analysis, 主成分分析' q: p8 e9 D$ d) B. i
Prior distribution, 先验分布4 u9 a$ W# k- r' `% f, e. N$ o$ y
Prior probability, 先验概率
+ H6 { h8 P' w5 z! K& }: CProbabilistic model, 概率模型+ V, ?; t) t* q' d8 x
probability, 概率- A& H8 k$ y" l# z' [" A& k
Probability density, 概率密度& _! ]: Y, t4 F. Z3 w$ T: ?
Product moment, 乘积矩/协方差) d5 K/ I! y. E! A
Profile trace, 截面迹图
4 ]& e1 n# Q' y) M$ BProportion, 比/构成比
7 w7 A8 y& l0 `+ E: rProportion allocation in stratified random sampling, 按比例分层随机抽样9 ~/ P+ z$ o8 d$ d. {2 B/ V- |& ]
Proportionate, 成比例, X9 h: X' |" I+ p- }* w2 }
Proportionate sub-class numbers, 成比例次级组含量( Q9 u3 Q- l9 j: _: {& Z! k+ g
Prospective study, 前瞻性调查& P5 y4 m, \$ c: a- q; ^
Proximities, 亲近性 + i$ O t% w% m
Pseudo F test, 近似F检验# p# v# M& g( G
Pseudo model, 近似模型$ H) T4 i# S( f5 W& _% U
Pseudosigma, 伪标准差
x; o! j; k4 ?4 [' @& ~$ H' A; B# APurposive sampling, 有目的抽样
: Q4 n; W3 ?% O/ hQR decomposition, QR分解
& L' |$ I& |4 KQuadratic approximation, 二次近似6 \2 o- I2 m$ R8 j& I" r: J4 f
Qualitative classification, 属性分类& Y9 o9 c/ _3 k4 E& r9 ?
Qualitative method, 定性方法
7 }! k5 x4 b3 A% L6 NQuantile-quantile plot, 分位数-分位数图/Q-Q图
) ?1 Y0 L, Y( j, }& @! C! kQuantitative analysis, 定量分析
7 b: ^. s0 e$ d+ u; cQuartile, 四分位数
1 _% d& C; R! h% cQuick Cluster, 快速聚类
: v( g0 l( j2 I2 m5 yRadix sort, 基数排序: @& \! E# `& G- {% p! P
Random allocation, 随机化分组0 }7 t7 p- _# b4 j# X2 j, F
Random blocks design, 随机区组设计9 l8 W8 \" V8 G8 F8 ?2 y, |
Random event, 随机事件
& Y9 F' \& G; Z, |% VRandomization, 随机化5 F# l+ F+ s7 z7 v& q
Range, 极差/全距
7 x7 N1 A7 V( z/ G9 R' ZRank correlation, 等级相关
! ~( z9 z J$ `" |4 ^Rank sum test, 秩和检验8 D) n: O! {, k6 ]4 |4 F
Rank test, 秩检验# v- C: ]: u. L6 z, \
Ranked data, 等级资料. M, X: M: x: m7 Z) a" D. _; N
Rate, 比率
# I7 z5 S- O/ Z0 ~' I" kRatio, 比例0 j4 U* f9 H4 v3 L$ `
Raw data, 原始资料
3 c z; Z9 `' \) Z7 G. oRaw residual, 原始残差# o+ b. U4 B& @5 g, K9 v% K& R/ c! o
Rayleigh's test, 雷氏检验
' c% }4 ^. j7 K6 VRayleigh's Z, 雷氏Z值 6 w$ B1 W6 ?0 v. O2 L2 ^
Reciprocal, 倒数) t2 w6 _% H* s9 d1 U
Reciprocal transformation, 倒数变换
2 ~: G$ C* o; f" o( G% a$ E7 [) eRecording, 记录
: H( E, c" x4 ~% \) u5 H0 G4 dRedescending estimators, 回降估计量
k; @4 N. G( g8 z& k8 O4 ]# _0 X: bReducing dimensions, 降维
, i, J8 B" K- c' e7 t9 XRe-expression, 重新表达
/ P) @& S$ Y, D+ t& T3 S- X' ZReference set, 标准组8 u( V" c0 { ~! K3 f, |6 ]8 B8 `
Region of acceptance, 接受域
, O/ @& R% w) ^5 JRegression coefficient, 回归系数
3 \% J2 H$ H8 w4 F2 n2 |0 cRegression sum of square, 回归平方和% J' T0 H$ o m) X# g
Rejection point, 拒绝点, M2 f0 ], F& b
Relative dispersion, 相对离散度
C( t4 k& k2 `; e, O( ~Relative number, 相对数
# C- e q9 y6 @9 i0 @: nReliability, 可靠性1 O9 S& r) N( Q: M
Reparametrization, 重新设置参数, @3 Q: [: I, K B* |$ O
Replication, 重复
- a) f6 O) Q! d1 Y) cReport Summaries, 报告摘要" `+ T8 D O0 l( [
Residual sum of square, 剩余平方和
7 V6 ~. V7 H3 n4 E; g/ p' MResistance, 耐抗性
; O( N: x- v' w! E: ^Resistant line, 耐抗线5 _* Z$ q* C4 @7 b: m
Resistant technique, 耐抗技术
) I0 P+ H% L6 w; ^7 NR-estimator of location, 位置R估计量
$ A7 [4 ~/ s+ b+ D5 ~7 RR-estimator of scale, 尺度R估计量) H$ Q0 }' |6 b4 v2 K4 R. r' C
Retrospective study, 回顾性调查
1 W- m- I/ j( K4 b* MRidge trace, 岭迹
/ g; u; g2 f+ w; z- \Ridit analysis, Ridit分析4 l8 }+ E5 G! \0 U; t e# P
Rotation, 旋转
9 E; Y; O# ^- _( W+ C/ LRounding, 舍入, k) V( _" o/ n9 P- a
Row, 行& i8 e8 ~+ ]6 x4 t/ x
Row effects, 行效应
4 g. {# `* Y* ~& Q' NRow factor, 行因素$ F6 T. k/ S, j9 r
RXC table, RXC表' |; h( t0 v+ L1 U
Sample, 样本
- \; d# X% r2 K9 VSample regression coefficient, 样本回归系数3 I" S' v4 E. N( o4 m) A
Sample size, 样本量
! v6 t. b9 F8 I( ?/ uSample standard deviation, 样本标准差
I9 v9 [0 n7 A5 G3 F0 g# A2 vSampling error, 抽样误差% F. f1 W; K$ l3 ~ t! K S# h3 a
SAS(Statistical analysis system ), SAS统计软件包
+ k5 K; {8 s! T& EScale, 尺度/量表2 `$ C! I3 N" w# @4 V0 _
Scatter diagram, 散点图
: p" t" C; u+ l1 b! X, pSchematic plot, 示意图/简图
( u& D/ r- i% SScore test, 计分检验7 l- p" s( G0 @
Screening, 筛检
8 R" Y+ w) U {# F; g; J& f/ B2 zSEASON, 季节分析 $ n1 H, ]7 T% j, L3 H
Second derivative, 二阶导数, {* ^- d! L# @% s Z* |1 R* O
Second principal component, 第二主成分5 M! [7 y9 {1 i6 K
SEM (Structural equation modeling), 结构化方程模型 8 v# [% r; U1 `# s) P( b3 w
Semi-logarithmic graph, 半对数图
) U% y; _& x) z! z! bSemi-logarithmic paper, 半对数格纸6 H$ S9 n% a8 B- T9 @( D T$ o+ a
Sensitivity curve, 敏感度曲线
z- _- Z U. N, P4 b4 D7 T+ iSequential analysis, 贯序分析* c6 Y4 q1 e( E9 c+ k0 i y3 C$ Z4 R+ D
Sequential data set, 顺序数据集
6 {" H7 k( H; Y$ D( I! F3 ISequential design, 贯序设计
3 M5 H9 v4 X, U: N0 A3 j$ S! TSequential method, 贯序法
+ H6 f+ ?3 b d- Z. S# S' Z1 }/ jSequential test, 贯序检验法
( Q! c2 U& p+ s* R$ |% ~5 YSerial tests, 系列试验
; h/ n, R0 y6 p9 `Short-cut method, 简捷法 $ B+ N5 T) f y) z. s* q7 F$ ?
Sigmoid curve, S形曲线9 Z, m$ o5 c3 V
Sign function, 正负号函数
8 p. k: a* X2 [. K8 f3 ^- }+ xSign test, 符号检验
: K2 q3 [3 x! vSigned rank, 符号秩( N% P! L8 b+ ~6 l
Significance test, 显著性检验
1 W( ?. D3 S5 N" v5 V, WSignificant figure, 有效数字
+ B. Z Z; j# ?$ o5 tSimple cluster sampling, 简单整群抽样
( `% q6 h* X2 e/ H( JSimple correlation, 简单相关
' G9 x) O0 m$ Q1 qSimple random sampling, 简单随机抽样
9 r' \2 L- q2 N' d1 U' JSimple regression, 简单回归* c& d* @2 |7 B% Y4 R% ?) o4 [
simple table, 简单表$ R) n! c$ O. U+ i2 m5 s
Sine estimator, 正弦估计量
( E; S) x- P6 XSingle-valued estimate, 单值估计
% {6 H8 E* _ A. y0 u; FSingular matrix, 奇异矩阵 n& e" w4 @0 L! W0 z+ a
Skewed distribution, 偏斜分布+ J% L( k" i: [. t! n, X
Skewness, 偏度
% f w+ m3 m, S! X7 X. q3 TSlash distribution, 斜线分布$ B; p1 T1 z% ^. u& @7 H! O
Slope, 斜率4 I( W5 j2 l% o* G. G2 l! t
Smirnov test, 斯米尔诺夫检验
+ v1 ^& y8 p- a! a# u- B# U9 CSource of variation, 变异来源1 t9 P/ A D# F
Spearman rank correlation, 斯皮尔曼等级相关+ Y, f" e* `% `; T8 [
Specific factor, 特殊因子& Y9 o9 d3 R) w' { @9 J
Specific factor variance, 特殊因子方差
/ R7 T: O: l @' C V V. a* qSpectra , 频谱
6 ^- |, g5 j" p: s9 T. USpherical distribution, 球型正态分布, @% i9 ]+ l2 P6 S
Spread, 展布6 L S) ~! K; A) r! ]( G$ h9 f/ n
SPSS(Statistical package for the social science), SPSS统计软件包, u k. C! t+ A" ?
Spurious correlation, 假性相关5 R# T t4 L+ N, L7 ]
Square root transformation, 平方根变换9 r1 H# P8 J0 l! }( T: d
Stabilizing variance, 稳定方差
7 E* `7 Z: @& \) T% i; A8 eStandard deviation, 标准差
1 ]6 {% A2 `6 iStandard error, 标准误
8 r5 B3 O: g' l2 g7 u2 @Standard error of difference, 差别的标准误$ g$ s) V4 \ w8 H9 @! P- l! M. L- v
Standard error of estimate, 标准估计误差: d9 }, }2 @! f! ^$ O+ T
Standard error of rate, 率的标准误
( F" J" L9 {7 QStandard normal distribution, 标准正态分布1 O) C( [: S( l5 d/ E! D
Standardization, 标准化2 _' C V" n" S O" c' {
Starting value, 起始值
! V& B/ I6 ~$ nStatistic, 统计量# F$ P$ z6 c0 {
Statistical control, 统计控制
( _& @6 E6 A8 |" rStatistical graph, 统计图% k+ B6 y1 s) \2 ?9 f
Statistical inference, 统计推断/ u; k3 x& x$ t2 D
Statistical table, 统计表
# }: X5 M& N. w& [$ i& kSteepest descent, 最速下降法" E% l6 {: V0 Y2 B
Stem and leaf display, 茎叶图
4 k2 q: [5 j0 `( N1 _1 ~2 xStep factor, 步长因子3 _3 k" v) u O) G3 G" H
Stepwise regression, 逐步回归
1 r# R4 Q3 Q" ?: f4 y" Y3 OStorage, 存, ?9 {) c* n1 @% D, Y
Strata, 层（复数）
0 T1 c$ ?* f( M0 @9 G% LStratified sampling, 分层抽样" {$ e/ L4 w1 Q, k/ X
Stratified sampling, 分层抽样
6 ^# w: d2 p! r7 g0 mStrength, 强度# M; M! y" Q# i' G g9 h2 X5 O% o ~
Stringency, 严密性
; r3 {1 ^+ {. H, {2 ]# KStructural relationship, 结构关系
. R: {" E# r0 _& T% jStudentized residual, 学生化残差/t化残差% M( z+ M5 j; N3 s7 }
Sub-class numbers, 次级组含量+ ^/ K+ `2 E3 ?) Z& p; W
Subdividing, 分割
6 ]! Y0 C( o6 cSufficient statistic, 充分统计量2 h2 \: j4 ~ M, G0 [' l& r
Sum of products, 积和
* G5 |, @8 S: pSum of squares, 离差平方和- B7 f* D+ g9 c& _6 I
Sum of squares about regression, 回归平方和
' p1 }' n' B% B0 ZSum of squares between groups, 组间平方和' h; H: ~+ H Z9 }1 s- b
Sum of squares of partial regression, 偏回归平方和3 D" v" t$ k* L7 ` P$ T
Sure event, 必然事件+ J+ T5 M) m6 j1 R
Survey, 调查* ?- G7 t, F6 a2 X8 F
Survival, 生存分析
: S8 |6 E; {! B& U G. C* eSurvival rate, 生存率$ O/ @3 U7 q* u/ C
Suspended root gram, 悬吊根图9 R! n; I0 X% Y7 b5 w
Symmetry, 对称
2 |- s1 k c* X6 v9 q* r1 VSystematic error, 系统误差
$ |: y5 i& ^% P4 {8 vSystematic sampling, 系统抽样" ?3 ?! v2 w w
Tags, 标签
4 l1 w H; |. B: y0 n* sTail area, 尾部面积
4 U3 H, ?# ~% M# O1 k* kTail length, 尾长6 W3 {5 w2 N5 ` k' f% I
Tail weight, 尾重
* E6 W0 n' Q4 T" e: ATangent line, 切线$ u7 X: y7 b4 o [
Target distribution, 目标分布' c0 U6 h8 \& Q2 ]/ u6 |
Taylor series, 泰勒级数
" d8 O* @4 j& M7 aTendency of dispersion, 离散趋势; `9 Q7 Y! Q* f; B7 H+ B/ g
Testing of hypotheses, 假设检验
5 ~% O5 n, b" F& YTheoretical frequency, 理论频数1 Q5 F1 c& M; C' V4 S: d4 e% Q
Time series, 时间序列5 G2 N2 B/ G* ?3 N+ z" L
Tolerance interval, 容忍区间; s' d: w, t' ^6 E- V9 s; G3 z
Tolerance lower limit, 容忍下限
9 E* A( L' l8 hTolerance upper limit, 容忍上限
6 C! Q5 d/ m1 k& QTorsion, 扰率
9 }' ^# C, a9 V C, ?( ]& e. u; ITotal sum of square, 总平方和
: u" \& W# R6 p9 rTotal variation, 总变异
5 i8 G I) C% v7 k+ p7 d+ G3 u; A, ETransformation, 转换
1 L8 R( s) D% v0 F$ \* Y& HTreatment, 处理% D# B' S& P! S/ q
Trend, 趋势9 A3 g7 X. G" V
Trend of percentage, 百分比趋势
" H8 `* _4 p, `+ K% zTrial, 试验8 h: r) m) z2 M" @' ]
Trial and error method, 试错法/ a2 b4 e& U7 g% S
Tuning constant, 细调常数( p% B# s% J0 T
Two sided test, 双向检验
4 o* I$ a5 r, g' H' B- |Two-stage least squares, 二阶最小平方2 J( T" ^* X* N
Two-stage sampling, 二阶段抽样$ M4 h: V2 z' T% F/ K0 s5 J9 S
Two-tailed test, 双侧检验
) ]" q M# o" c1 a2 j6 n0 KTwo-way analysis of variance, 双因素方差分析
* s) \: C4 w4 [) hTwo-way table, 双向表: j1 e9 a* }) v' ^* q: I: B( y6 ^
Type I error, 一类错误/α错误1 p' |7 l$ O! K. {: y0 ~, \
Type II error, 二类错误/β错误
, I a8 y3 \, L9 s0 l$ ?UMVU, 方差一致最小无偏估计简称2 P/ r7 t2 L6 `
Unbiased estimate, 无偏估计
2 _( h5 O0 Z' u# d8 w7 k* JUnconstrained nonlinear regression , 无约束非线性回归$ [8 Y* O& d1 r
Unequal subclass number, 不等次级组含量
2 R* D! y8 y0 _; y# uUngrouped data, 不分组资料! a. M' H/ H# E6 U3 s6 Q6 U6 w
Uniform coordinate, 均匀坐标# E/ e, o, M) O! ]& m/ ]* X
Uniform distribution, 均匀分布( a5 [& L" v. e4 G, ]
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
3 R& j, Y* T' J' P, sUnit, 单元5 A" d8 x- Q# x5 P! s0 n
Unordered categories, 无序分类 A1 F$ q3 j- M. M2 f9 f7 Z
Upper limit, 上限
' g5 p @3 j- w6 z5 d5 s E0 N2 iUpward rank, 升秩
. T; w, ~/ z" o6 ?+ R$ F6 oVague concept, 模糊概念0 T- d3 v/ u2 |; R- F8 Z4 S0 }
Validity, 有效性
8 k! P, V7 n: Y4 I; L8 m |VARCOMP (Variance component estimation), 方差元素估计1 ^, ~ c2 B# n
Variability, 变异性6 g6 E, ~- a" n, g& p/ l
Variable, 变量/ j6 {: n) c2 q6 G# a" a
Variance, 方差) V' N! ^( P; O+ S
Variation, 变异
4 f% D" M6 \" J8 @$ ^; H' d5 ~Varimax orthogonal rotation, 方差最大正交旋转7 _; [' g8 Q! T2 h# c+ w1 _
Volume of distribution, 容积
+ H4 m/ o$ @* b- vW test, W检验9 w0 v0 o5 k0 l7 C# \; L, n% h/ a
Weibull distribution, 威布尔分布
; F( X2 g, _" L. x. RWeight, 权数% }3 u: u& Q& \( C
Weighted Chi-square test, 加权卡方检验/Cochran检验8 c' f% {/ {2 }1 g! N$ S
Weighted linear regression method, 加权直线回归
6 L6 S8 Z g- ]# b* {6 M+ T/ U. _' XWeighted mean, 加权平均数6 D# i% v3 G; A5 ?) M2 G+ |1 V
Weighted mean square, 加权平均方差
; M p( @1 O2 B/ |" TWeighted sum of square, 加权平方和
, R1 q1 m( \: V% Z2 N2 WWeighting coefficient, 权重系数
2 ]; C- o, T' }Weighting method, 加权法
) @7 i$ T4 t/ r4 k( V2 `W-estimation, W估计量
- ~5 u, i. Z2 q- l0 G% l& m$ `& QW-estimation of location, 位置W估计量
: F) K q T8 L% m# C1 p& D9 ]Width, 宽度
: q+ @; Z" T( R# T! {Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验$ ` ~! [# r$ W( B
Wild point, 野点/狂点9 T0 N8 b, |0 W
Wild value, 野值/狂值" {5 n7 X5 I3 {+ T5 Z8 T1 Z
Winsorized mean, 缩尾均值
8 z& k( S A/ z& i( LWithdraw, 失访 0 S5 n3 t* N$ N* _6 u' l! W$ {3 t: i
Youden's index, 尤登指数4 E% b' }/ h& ?
Z test, Z检验) {" e, ?, Q% a
Zero correlation, 零相关) E6 I4 x% Y) K/ \
Z-transformation, Z变换 |
本帖子中包含更多资源
您需要 登录 才可以下载或查看，没有账号？注册会员
x
|
|李越老师直播间|清流社工网
( 苏ICP备19044186号-1 )
发表于 2009-1-6 22:05
