|
|
Absolute deviation, 绝对离差
$ ~" X; R; {- I W7 I' QAbsolute number, 绝对数; G B% |! T7 M" ^, v$ T
Absolute residuals, 绝对残差% `! I; W$ B& ?/ X
Acceleration array, 加速度立体阵
& F* D( h$ `. sAcceleration in an arbitrary direction, 任意方向上的加速度
( c% J4 j+ j/ u b8 ]; oAcceleration normal, 法向加速度
/ X( O y1 @$ r$ u Z" M5 h& WAcceleration space dimension, 加速度空间的维数
( z' {0 h9 g3 SAcceleration tangential, 切向加速度
5 U1 q) `: ~, m$ K' |( UAcceleration vector, 加速度向量6 q. N- ~. q; J. K9 o) l* J
Acceptable hypothesis, 可接受假设/ F6 s3 s; e/ R3 F" T' C
Accumulation, 累积5 h% w8 j$ e! Q1 E
Accuracy, 准确度
7 B) v0 G3 y, N1 T1 V' H9 Y0 b* pActual frequency, 实际频数. Z- }# E$ ?9 ?5 I
Adaptive estimator, 自适应估计量% Y+ S" n# j7 ^
Addition, 相加, f3 _, J/ [- [0 K6 c9 D0 G$ o9 F
Addition theorem, 加法定理6 R% V0 a8 @& {
Additivity, 可加性
W5 V1 {% x; R" d3 ^8 u$ g k2 A. G4 OAdjusted rate, 调整率2 E$ ]- f, L& d a8 [$ Q
Adjusted value, 校正值
$ L1 p) \9 L1 q* Y# V8 d, G5 k* eAdmissible error, 容许误差
* w% u8 A) s6 [2 u: ~Aggregation, 聚集性
3 i+ I! k E# Y# S& T. ^- [7 l; qAlternative hypothesis, 备择假设, F# I6 m n: E, Q7 j" ?
Among groups, 组间/ m0 W3 v7 j. }/ V
Amounts, 总量" s. U( J1 i9 C/ ?
Analysis of correlation, 相关分析' |' l! X' ?( O" }9 u
Analysis of covariance, 协方差分析
! `6 ]% S2 U' _( D# f- {Analysis of regression, 回归分析
6 h/ T8 }8 }9 J! G" v8 }Analysis of time series, 时间序列分析$ {9 l% A* U1 o% a5 l* y
Analysis of variance, 方差分析
5 p9 ]( ^/ E6 ~6 T9 V$ mAngular transformation, 角转换/ k8 y2 r: {- |3 r
ANOVA (analysis of variance), 方差分析
, @$ d+ ]! A K H" e k" \, XANOVA Models, 方差分析模型
2 C6 C2 h' k) j f5 eArcing, 弧/弧旋
) p7 X8 z s% v, LArcsine transformation, 反正弦变换9 q; |. D o r4 |
Area under the curve, 曲线面积
$ [0 U7 [9 o; IAREG , 评估从一个时间点到下一个时间点回归相关时的误差 ) `! `1 {/ F* e: E; E) ] w
ARIMA, 季节和非季节性单变量模型的极大似然估计 2 m+ k0 b* y+ o
Arithmetic grid paper, 算术格纸
/ F$ h# W. \; ~9 ^0 CArithmetic mean, 算术平均数
( K+ p% q) H# p& M' Y/ P% g6 TArrhenius relation, 艾恩尼斯关系
4 Y" Z% h0 q8 C1 I# v0 X& ZAssessing fit, 拟合的评估
9 b" {, R4 F6 B; [# P/ dAssociative laws, 结合律
: o% A) L3 C6 b% TAsymmetric distribution, 非对称分布
+ @) a* A% H" u5 F4 Y( j. EAsymptotic bias, 渐近偏倚1 n8 z% f/ z; q+ {' _# Z; q
Asymptotic efficiency, 渐近效率, k4 H+ M" p+ [& I5 F' ^, U
Asymptotic variance, 渐近方差
) Q; H/ w% D, a: \/ _1 }Attributable risk, 归因危险度+ C \9 b9 `6 P! s
Attribute data, 属性资料
& ?9 S, s+ ?& Y1 s3 pAttribution, 属性
% ^- K/ c7 @. l( pAutocorrelation, 自相关 A9 Y2 ?1 {+ e( L3 p
Autocorrelation of residuals, 残差的自相关
* I: K7 i( F& P8 u* V' v; zAverage, 平均数
/ t- p& S! s- dAverage confidence interval length, 平均置信区间长度# u4 x9 U& X% g! ?3 p: b
Average growth rate, 平均增长率# ?5 [# }$ f6 x) v
Bar chart, 条形图
+ _0 [ c- [5 r3 t/ ~Bar graph, 条形图
# y. o" |# t8 B; z8 C* y6 _Base period, 基期
& K4 @) E: k- q6 }Bayes' theorem , Bayes定理5 b3 r u% c% z. D) V2 N' {
Bell-shaped curve, 钟形曲线
% X8 {5 ^: c1 G; z, w* m$ X, KBernoulli distribution, 伯努力分布/ B. Z5 y' E8 K& I
Best-trim estimator, 最好切尾估计量+ a) }$ J8 O$ `2 N. ^1 M. V
Bias, 偏性4 o U, u& ~; g6 n: L1 M
Binary logistic regression, 二元逻辑斯蒂回归3 E! }1 e8 i1 u6 y$ Z3 S2 h0 L
Binomial distribution, 二项分布 K$ t: I5 G( B
Bisquare, 双平方
- d2 \8 L( r7 J8 h$ o4 M! C. M: D2 QBivariate Correlate, 二变量相关& J% a2 b+ I% k
Bivariate normal distribution, 双变量正态分布
" J3 _) x5 c/ {/ K8 A& D3 E! F3 hBivariate normal population, 双变量正态总体5 `% p h9 t8 R8 o3 G
Biweight interval, 双权区间/ N# v8 h. |) S+ X; Q, Y- G. b* ~
Biweight M-estimator, 双权M估计量- @+ o8 H9 p0 i3 X! D( k6 E
Block, 区组/配伍组
. P+ K% ^5 G3 Y+ m* [BMDP(Biomedical computer programs), BMDP统计软件包1 r9 [9 m" {' J+ p) |9 X6 _. ]
Boxplots, 箱线图/箱尾图
4 I4 a# {/ Q" d5 t. J. p+ ?' S: Z1 mBreakdown bound, 崩溃界/崩溃点0 `8 B' I7 x H- m! ` }
Canonical correlation, 典型相关0 g( H5 ?! m2 {8 ~7 b- b+ P, t) [
Caption, 纵标目 R0 O" k- X7 s8 ]/ n9 I" U- I
Case-control study, 病例对照研究
" P/ n" h0 w+ T8 `; t* g1 OCategorical variable, 分类变量
0 [1 ^# s9 z# f! i1 ?& g8 ?Catenary, 悬链线# M& ]6 a" \' o
Cauchy distribution, 柯西分布. m0 a* j0 X' B W6 Y" u
Cause-and-effect relationship, 因果关系
6 S4 l! `- E4 i6 S: ]) N3 P, {: R4 oCell, 单元' z6 u0 A0 I `" x6 g1 ^9 B' K" f& ]
Censoring, 终检
, z: g/ Q$ Z8 w; VCenter of symmetry, 对称中心, d3 q, Z8 y: z8 @) {
Centering and scaling, 中心化和定标
* n- K) ?1 E# G j5 c9 b8 `9 ~Central tendency, 集中趋势6 u* h5 D1 }" U/ B4 q. }$ Q$ a
Central value, 中心值& |( t- p2 o# D7 p; a3 n1 {% |# s
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测/ P ]/ ]' Y1 S+ H
Chance, 机遇
+ L3 Q) g7 h% J+ N$ N3 ~Chance error, 随机误差* M% r9 ]9 m, d2 }3 k$ ^& u T
Chance variable, 随机变量
' H5 ?, |( ?/ N3 Q, w7 HCharacteristic equation, 特征方程
9 B" X9 c: R8 s- w. ICharacteristic root, 特征根6 k/ s8 s# s7 o- g* ^
Characteristic vector, 特征向量 t$ P- `" t" s# a/ S/ F/ A+ L
Chebshev criterion of fit, 拟合的切比雪夫准则
+ `5 s/ a' C, w6 Q( RChernoff faces, 切尔诺夫脸谱图/ r% |. C6 y; {+ \. u
Chi-square test, 卡方检验/χ2检验
D& {0 @1 {- L9 B8 D* ECholeskey decomposition, 乔洛斯基分解
- y1 y% [" x3 E! a' f% PCircle chart, 圆图
8 D3 R0 x9 g9 t5 m* e6 aClass interval, 组距& t5 }" C# d) M9 k' Y: S3 ~% V
Class mid-value, 组中值
G3 {+ y1 y! z* h% pClass upper limit, 组上限
+ a; P$ p, q4 N1 M4 aClassified variable, 分类变量0 _, F5 D) b1 ?' n/ Y8 _ c
Cluster analysis, 聚类分析( e) ~$ Y& i1 s. ]/ j
Cluster sampling, 整群抽样
* |& b2 Q! o$ f# ECode, 代码
# q4 d2 M. |* z$ m' A7 K' p& O( e- s( }Coded data, 编码数据
& u, j- W- z1 g7 D9 z% {2 Q/ U0 aCoding, 编码
! y; d- h+ t# `& i1 PCoefficient of contingency, 列联系数
) v; s& V" Z2 r9 z& T% Z! CCoefficient of determination, 决定系数" C) L' y5 R" I
Coefficient of multiple correlation, 多重相关系数
, U$ p+ Z+ `! B/ k* X2 ?8 h: ^Coefficient of partial correlation, 偏相关系数4 J6 }, o5 e1 Q$ H" h1 K. A
Coefficient of production-moment correlation, 积差相关系数
" _' Y, C3 a8 _4 Z( eCoefficient of rank correlation, 等级相关系数
2 A1 d6 v' G3 u8 ^6 TCoefficient of regression, 回归系数6 h) q- W: q% i; Z3 w; L* F
Coefficient of skewness, 偏度系数3 u) @4 L3 Y- R/ o- T3 }: t) |* a
Coefficient of variation, 变异系数% A; l$ Q) ^) c# a- M+ U+ C4 l1 S
Cohort study, 队列研究1 [2 v, ?* b* z/ H: K% o% f
Column, 列
) b5 t& `+ j. X& B/ k# S/ ^' @Column effect, 列效应' @7 i1 W5 M( v Z3 X5 h
Column factor, 列因素
# b% a: {; N- n* V& {7 S% OCombination pool, 合并
" w; c( m* [0 `5 a- _ W0 ?Combinative table, 组合表
9 C `; Z- J9 \6 x9 jCommon factor, 共性因子
/ Z) i9 w3 H o8 K1 zCommon regression coefficient, 公共回归系数8 w& y! e/ W3 f- @8 g
Common value, 共同值
) g2 ^$ A# `# K* n: u, U/ g NCommon variance, 公共方差
. \ J* P" `" R3 J2 t5 t. ?Common variation, 公共变异
; A# J' r6 e: I2 @2 {# m# b; @; {2 W" sCommunality variance, 共性方差; f0 r |* R# V* W& f
Comparability, 可比性
" @/ h) c6 m' \# {Comparison of bathes, 批比较
+ |0 ]. E V, e3 A& yComparison value, 比较值' Y: K' A3 |& ?7 f
Compartment model, 分部模型4 J! X0 r1 X W# h
Compassion, 伸缩
/ |: h; }% b6 r- J3 mComplement of an event, 补事件) F% e8 d J) G) A }
Complete association, 完全正相关
' i1 s# p7 ]& n! X4 u# H1 AComplete dissociation, 完全不相关2 S0 j) A5 K4 c( c7 \+ e5 n
Complete statistics, 完备统计量
: N0 F3 ^) h' a- PCompletely randomized design, 完全随机化设计3 |# o V4 ]# N. W! E! q6 o* v5 \
Composite event, 联合事件
" x; q; F. F4 c. rComposite events, 复合事件. b, l* {* `& k; e5 J, e4 }$ T5 s
Concavity, 凹性
! ]. j3 P1 J1 N k+ S/ W2 p* RConditional expectation, 条件期望8 S* k4 s& t3 E
Conditional likelihood, 条件似然
. h- z# d2 R" E+ b6 O* BConditional probability, 条件概率
3 V9 |7 Z" |' `" I; h% c' {Conditionally linear, 依条件线性
* x% ~4 F8 [$ }. W) tConfidence interval, 置信区间8 {6 Z, _0 j7 a+ f
Confidence limit, 置信限
$ k* g; j! ^0 i; w9 f0 rConfidence lower limit, 置信下限1 c) D1 n$ [* V% q
Confidence upper limit, 置信上限
' {' d1 _* U/ H% kConfirmatory Factor Analysis , 验证性因子分析 X; }8 F8 ^+ f; _3 D+ A
Confirmatory research, 证实性实验研究
% b; O7 Z6 |( f H6 sConfounding factor, 混杂因素# q' E0 g1 A$ z ^ l
Conjoint, 联合分析) l2 F$ P7 A8 Y e2 c/ E5 k! R9 @
Consistency, 相合性
% I' M; w/ H. {5 l0 QConsistency check, 一致性检验7 G4 L, B' C3 L' h8 u/ }( @3 A
Consistent asymptotically normal estimate, 相合渐近正态估计
8 k/ ~% p3 n& b: Q W/ n% O, A8 b% oConsistent estimate, 相合估计 `( |; C& r- X' s
Constrained nonlinear regression, 受约束非线性回归: @* }( N9 @4 C6 v% c9 N
Constraint, 约束5 `3 @, l$ F/ v2 _1 K: ]+ i
Contaminated distribution, 污染分布" o o9 I* E7 n2 P* r5 M* p
Contaminated Gausssian, 污染高斯分布
7 N* U8 }0 \$ u) A; Z+ ? hContaminated normal distribution, 污染正态分布4 F5 }. E: }2 {$ J9 O3 j
Contamination, 污染
4 e5 G5 z( S( k! v) ]Contamination model, 污染模型. w4 m% c2 i* Y; x' l$ j% T
Contingency table, 列联表0 F7 A3 B; e( Y k5 R: u( Z
Contour, 边界线
- y2 z5 K. y" k7 l L% eContribution rate, 贡献率
+ C7 k+ A J$ p; }- w3 o3 hControl, 对照, @" i- O7 c) A* o2 P, U
Controlled experiments, 对照实验0 \( e1 _% L/ { N2 ?# K
Conventional depth, 常规深度/ \3 P: n; M+ b" u0 n" I7 n! E
Convolution, 卷积
( s, T/ V0 I! o, X9 T, X6 PCorrected factor, 校正因子8 u: ^7 ]) [. @# M
Corrected mean, 校正均值& X+ g0 Y `% L
Correction coefficient, 校正系数" ~$ D2 Y7 i- r d
Correctness, 正确性$ a5 T7 z$ E" k# E; d4 }7 U' c, t
Correlation coefficient, 相关系数( Y( v& }/ _0 j
Correlation index, 相关指数
" |) G: a# }; d( d0 m. R" y! ^& |Correspondence, 对应
- a+ L. ~ H2 O3 q4 {Counting, 计数7 B0 V- [1 F/ F3 _' q
Counts, 计数/频数9 B( T! F! b4 u: C/ d2 D
Covariance, 协方差
& G: t- H' V" ~1 ECovariant, 共变 ! d4 t. c! u7 M( Q9 e. i9 _
Cox Regression, Cox回归8 X2 l: f1 w) x3 N
Criteria for fitting, 拟合准则
( N& x D; k: [5 ]& S, b/ UCriteria of least squares, 最小二乘准则
5 U1 M) k: R8 b. C) BCritical ratio, 临界比( ~; M7 b1 w' g& w5 b
Critical region, 拒绝域/ s' ^, g {7 K8 M/ K
Critical value, 临界值
( z( w% W; I* r5 SCross-over design, 交叉设计8 \7 l. G7 G+ }6 [% g s
Cross-section analysis, 横断面分析
- U- x* T8 u" tCross-section survey, 横断面调查
+ A3 e6 W/ z" e; G; xCrosstabs , 交叉表 & g" m( e- E* ]9 x
Cross-tabulation table, 复合表" o' E4 t, {% D) |
Cube root, 立方根( R* D3 V' ~$ P! }+ P& k) i3 e
Cumulative distribution function, 分布函数
1 t: a! [! `" Y I: C- @, U1 fCumulative probability, 累计概率* t8 F, A% N4 O
Curvature, 曲率/弯曲
& ~1 U1 U; e1 G; pCurvature, 曲率; B: g# q: X8 E! Y
Curve fit , 曲线拟和 # q( c; V( N. @* S; \4 G
Curve fitting, 曲线拟合
: M9 A( q( P8 o* S, LCurvilinear regression, 曲线回归: d5 J( G* r5 V4 g
Curvilinear relation, 曲线关系, W2 i, I' D, p" k# D
Cut-and-try method, 尝试法. x7 J% L+ |* q5 Z
Cycle, 周期; n! ]$ F6 D8 M5 D
Cyclist, 周期性
. [& q; z4 C6 `5 a* H7 \0 ?D test, D检验
( G5 r8 z' E/ S4 S- |" j0 F" OData acquisition, 资料收集" Z) b. x5 ^/ ]4 U; }; s" z
Data bank, 数据库
- s& B& ^. y/ ~& ~/ PData capacity, 数据容量
+ C2 g6 R; l. s/ i" \Data deficiencies, 数据缺乏9 U; L, W) r8 Y; @9 r
Data handling, 数据处理
: F* b$ Z5 u1 s% A# R) \Data manipulation, 数据处理. d2 x. r( d' Q( q" u6 _( p- H+ U
Data processing, 数据处理
6 S, D, a) x+ k0 p. p3 pData reduction, 数据缩减5 _3 t" G% w0 N1 |2 B
Data set, 数据集
$ D3 }' X* C% q4 I! R* M- @, Q! v# `Data sources, 数据来源
) b: l1 F3 k7 g( y, jData transformation, 数据变换1 @/ F4 o/ @; ]6 a. @3 S8 w, B
Data validity, 数据有效性
) s" P: K2 t$ b' V6 S: d6 Z7 o) mData-in, 数据输入2 q: l% D I. G" S! g
Data-out, 数据输出
3 W N5 j z: j6 J) R: s" d8 n! xDead time, 停滞期
5 S) I& x; t: p- ADegree of freedom, 自由度
* H1 u( ?1 k- q8 ^- `" a$ oDegree of precision, 精密度4 z' c0 H M/ f
Degree of reliability, 可靠性程度
8 s/ j9 H2 n- I: [# N) x" PDegression, 递减' V' t3 O* M( p+ J9 X9 v8 q/ F& t
Density function, 密度函数
: ~+ O' Q/ ]) ]$ M3 WDensity of data points, 数据点的密度
% L6 |& ~8 S2 d+ C& @8 ^' c8 RDependent variable, 应变量/依变量/因变量 E. q. J0 E5 I. k
Dependent variable, 因变量
9 N/ x8 s; y5 }6 U2 l/ FDepth, 深度2 A$ e2 P( x! B+ \6 |0 b
Derivative matrix, 导数矩阵) X5 D/ O9 {, ]) z' r
Derivative-free methods, 无导数方法
) ], q c' S1 M4 d3 G, l+ uDesign, 设计4 _# e6 \+ s: }8 R5 I( E& U
Determinacy, 确定性
$ U' x! L' {: L; V* o0 k, mDeterminant, 行列式6 O6 _4 l. P5 E/ T- z+ ]/ q: ]
Determinant, 决定因素- [ D: T! c! G: U& M, A
Deviation, 离差
3 n$ v2 E& P. O* G7 EDeviation from average, 离均差+ a7 x$ m6 w3 w6 J, `. i1 |
Diagnostic plot, 诊断图7 s. l8 p `' i' R0 `
Dichotomous variable, 二分变量
# U8 y0 A4 f! y# C- N$ H, j+ iDifferential equation, 微分方程
$ u$ P, Q' O& U# eDirect standardization, 直接标准化法
- d3 D# S7 z6 n, u% p2 I IDiscrete variable, 离散型变量+ O l+ I, Y3 ~' ?
DISCRIMINANT, 判断 / a7 w2 n3 q2 j8 I& _
Discriminant analysis, 判别分析
5 H7 {' v/ e9 k8 ?' O W+ t1 ^Discriminant coefficient, 判别系数$ S9 P9 R/ `2 |" h$ z$ Y
Discriminant function, 判别值8 Y7 Y; m+ z) u1 }9 Q& f
Dispersion, 散布/分散度9 k% ?# x4 j8 p! c" G
Disproportional, 不成比例的
t1 C+ ? c7 Z$ PDisproportionate sub-class numbers, 不成比例次级组含量4 }$ T* y x3 H4 D3 N* ~! Z4 U
Distribution free, 分布无关性/免分布2 M' f/ k& }& A: X. O* O) f7 H
Distribution shape, 分布形状0 H8 r7 A6 H% n! k* ~' Y% K9 W6 q7 C5 Q
Distribution-free method, 任意分布法0 o4 f, c, `8 k8 H( ^: A* j
Distributive laws, 分配律
# |. f& O$ W# Z, \ {- P7 Q5 ^Disturbance, 随机扰动项
& H1 W! v' j$ L; {' v2 H& `Dose response curve, 剂量反应曲线& }* m. L( |; M# Y% n
Double blind method, 双盲法, I+ v8 g' M2 t$ j! K0 a
Double blind trial, 双盲试验$ u: s" t: D4 W6 u: a" O
Double exponential distribution, 双指数分布
7 h* T4 G/ Q+ p! EDouble logarithmic, 双对数
! f# V" O+ M t7 a) k, W" YDownward rank, 降秩
3 s0 _" W0 X' \9 d$ y% }- p0 K; LDual-space plot, 对偶空间图
& o" W9 W$ j+ e5 u+ fDUD, 无导数方法3 t; N6 y1 T0 U* E1 R
Duncan's new multiple range method, 新复极差法/Duncan新法
7 p6 S; ^) x& G$ J! WEffect, 实验效应
" h6 o/ Q. \! D, \3 z* r! JEigenvalue, 特征值
! S% X6 ~' o9 ~8 R$ @Eigenvector, 特征向量4 L6 p* \- F' U' n u# y; o+ c
Ellipse, 椭圆
2 f( Y' ]5 W* H3 D8 H/ A' xEmpirical distribution, 经验分布% L) c" u) E. G/ O. W, i; K# i
Empirical probability, 经验概率单位5 K: U6 g9 P3 r8 `
Enumeration data, 计数资料
" k9 ]) [, {6 l% {2 cEqual sun-class number, 相等次级组含量
! l' Q" s: X2 L7 d' C OEqually likely, 等可能: K! M: u) E' N+ E/ O' I0 @
Equivariance, 同变性
5 N4 ^5 }9 I* R1 P# @+ I1 NError, 误差/错误
+ t. ~8 \, E! \3 k' q7 K( O+ JError of estimate, 估计误差, s) w5 \2 Y+ d& i! e
Error type I, 第一类错误
3 ^$ S v3 Q: Z! y1 ]Error type II, 第二类错误
, ~, C V) X: F8 A- [Estimand, 被估量+ t7 F$ e; j3 I# }, a1 z9 C
Estimated error mean squares, 估计误差均方
( A+ y+ }, I8 n& K2 |, I0 @Estimated error sum of squares, 估计误差平方和
3 { \) V) A) \; H4 \ PEuclidean distance, 欧式距离
. P; p7 t; q t) ?Event, 事件) o% B9 m/ z0 R. a
Event, 事件
7 @8 o3 {+ Y4 G$ PExceptional data point, 异常数据点4 S% a4 k+ P) v, Q5 ~' {+ `
Expectation plane, 期望平面
' w) N. M& V e5 X8 l/ N5 y7 CExpectation surface, 期望曲面" m4 J/ _0 D) @ l( b4 ^ _: Q, _
Expected values, 期望值
+ @; ~6 G1 g+ q+ l* z8 _8 K5 mExperiment, 实验
* v) h5 ~& B+ B7 q8 T. K! YExperimental sampling, 试验抽样+ q, M2 u9 U* I
Experimental unit, 试验单位
S b& |' y. W* J5 e: ?3 nExplanatory variable, 说明变量2 A. t8 q" O. v5 e2 s
Exploratory data analysis, 探索性数据分析- k4 ?* B1 Q- e9 P; t
Explore Summarize, 探索-摘要5 |! M: ?3 X- D, y5 t6 k3 p
Exponential curve, 指数曲线
& q5 F7 e( i/ g8 ]0 iExponential growth, 指数式增长& A2 H' c( t: c: ~
EXSMOOTH, 指数平滑方法
- L& h' m- I3 ~3 oExtended fit, 扩充拟合. d7 u) _( g4 ^
Extra parameter, 附加参数
9 a; x( P5 Y, }7 y+ b# zExtrapolation, 外推法" Y+ I7 ?" T6 M) T4 P( C5 \3 Z
Extreme observation, 末端观测值
/ x a, w! }9 u4 ?$ r8 {/ D7 MExtremes, 极端值/极值
5 ~: O- i: R2 ~" v1 rF distribution, F分布) @% P1 G# c/ v# _; r' o2 _, u) y
F test, F检验
! _ \* R2 X2 g( O* LFactor, 因素/因子. h8 Q+ H3 o/ e; M+ X! ~1 _
Factor analysis, 因子分析
1 x' X2 I% y& `4 }Factor Analysis, 因子分析
; {- { o8 V9 M( ?7 iFactor score, 因子得分 # r1 r1 E2 k( f; O3 F: ^, d4 Y
Factorial, 阶乘3 {& n+ |% q8 I
Factorial design, 析因试验设计
( }0 `# N( y; [, {+ y; vFalse negative, 假阴性
# T0 Y8 ^/ [8 GFalse negative error, 假阴性错误3 |+ K# r6 ~8 u+ a
Family of distributions, 分布族
- X. W2 ]" d" a- I: U$ P1 I8 v; YFamily of estimators, 估计量族9 c4 E- q6 h6 L& R
Fanning, 扇面) r" ^. u5 V) Z; ^0 A
Fatality rate, 病死率 j* ^/ N# J4 y
Field investigation, 现场调查8 T- ~; Y- _2 c6 H" ?( C. G# s
Field survey, 现场调查
0 j& W2 m4 |) t+ A# cFinite population, 有限总体
2 ]3 f. I- O' i! b8 h2 ~Finite-sample, 有限样本
# @* i; j% Q5 i" y! s3 fFirst derivative, 一阶导数
$ q3 x6 Q/ C; \5 uFirst principal component, 第一主成分5 W- l4 K+ N5 w7 Y1 U+ _
First quartile, 第一四分位数
7 r0 ~ m+ v# VFisher information, 费雪信息量
* o! ~% s& ?/ R6 ]Fitted value, 拟合值
2 E2 C0 P+ f$ [. n2 c# I' J, bFitting a curve, 曲线拟合
/ ~" T2 K& ], D( l/ v" |Fixed base, 定基. @; O1 h& a0 t' k9 p* i/ v
Fluctuation, 随机起伏
6 W* H3 o- U" d, S) WForecast, 预测
. t6 ]% |6 i/ IFour fold table, 四格表! ~2 x5 M4 _+ I
Fourth, 四分点
" F: O& |# e5 }* o! {: qFraction blow, 左侧比率
+ L; a6 V; r3 U. iFractional error, 相对误差# ~$ @4 f* l8 ]" N/ L2 C- d4 U! p
Frequency, 频率& V4 l3 G- t# _
Frequency polygon, 频数多边图9 |+ F1 w( {: |/ m5 e" f
Frontier point, 界限点
3 T" ?+ a: Y% l0 U5 `6 P8 u* JFunction relationship, 泛函关系
( J) o) N5 e8 R1 D0 w: _% n+ A! YGamma distribution, 伽玛分布
! i( P' M; c/ K/ d7 ZGauss increment, 高斯增量( u: z/ P* A, x2 g6 L! B1 U
Gaussian distribution, 高斯分布/正态分布7 k# d, b h9 _5 ]$ w1 D1 a, F
Gauss-Newton increment, 高斯-牛顿增量! d$ c$ Y' A1 D7 z1 X
General census, 全面普查
$ U: ^5 D' X; ?: K4 I1 z1 [9 FGENLOG (Generalized liner models), 广义线性模型 ; i* F; T1 \/ H: [/ j
Geometric mean, 几何平均数/ v* u% t3 n6 M" w: S& ?0 Y1 d
Gini's mean difference, 基尼均差
- B) e3 g8 | j& ~! D) X. X7 B" |6 ]GLM (General liner models), 一般线性模型
# E( R5 [7 P/ a: h3 Q% ^: _) hGoodness of fit, 拟和优度/配合度0 n# U" h0 V; G4 d7 N0 Z
Gradient of determinant, 行列式的梯度1 S! g# ]1 F7 z- A$ o% Q
Graeco-Latin square, 希腊拉丁方
% \8 k1 G2 k& K. T N5 z$ Q) {2 q5 }Grand mean, 总均值' t" d9 i- S! k4 x4 F# i/ I: n
Gross errors, 重大错误
& R9 }( n/ R6 |" X8 @0 C* x- OGross-error sensitivity, 大错敏感度
. P9 x, H/ F3 {/ w+ OGroup averages, 分组平均
. K$ I* o. v% M& LGrouped data, 分组资料' T$ n7 r6 M/ t+ u
Guessed mean, 假定平均数
3 V; k, |% }4 `" G8 }Half-life, 半衰期
1 l+ c& x* }' `! Y5 `$ sHampel M-estimators, 汉佩尔M估计量9 T, Y. C( v) ~- M$ B4 z) \( ?- }5 @. M
Happenstance, 偶然事件
) d# v* Q' Z R& fHarmonic mean, 调和均数
" r* R: k, z( b6 iHazard function, 风险均数
: ^+ |) w2 r, l7 i+ \Hazard rate, 风险率
3 ^3 h4 j+ X" E+ w$ zHeading, 标目
7 o. Q: A- \/ @+ P8 THeavy-tailed distribution, 重尾分布
: X; C+ L9 Q) P7 BHessian array, 海森立体阵
0 V! _) T5 m: e. dHeterogeneity, 不同质
& g0 N6 Y1 H# |- I" w- MHeterogeneity of variance, 方差不齐
4 Z1 c7 o3 d8 dHierarchical classification, 组内分组! A" S: Z; r8 G5 c
Hierarchical clustering method, 系统聚类法
9 y( t1 c: D- Q; D( HHigh-leverage point, 高杠杆率点
2 u5 z) s4 B9 K# X4 \HILOGLINEAR, 多维列联表的层次对数线性模型
/ x" w, P: d" @- _Hinge, 折叶点
$ U# Y# b1 [" i( eHistogram, 直方图& D& y( v$ G- Q
Historical cohort study, 历史性队列研究
$ p* Y( \+ ~ y' [" JHoles, 空洞
- n! r2 i; I/ E, C$ ]HOMALS, 多重响应分析* ?5 s7 m J2 \- _) z
Homogeneity of variance, 方差齐性
7 q, u, Y' p) m3 q3 t8 m. _, p0 |Homogeneity test, 齐性检验) [& m1 {, ~! A( }
Huber M-estimators, 休伯M估计量' z$ A$ Q9 j) L3 h- u7 y+ ^! S6 h
Hyperbola, 双曲线" ]2 x$ O- m& @, K( L
Hypothesis testing, 假设检验' X# [1 m6 t3 d3 P3 Y
Hypothetical universe, 假设总体
) U! T" a0 ?8 m4 YImpossible event, 不可能事件
8 e5 [# v1 g, E' p9 V( SIndependence, 独立性
8 a. p( m$ G c8 nIndependent variable, 自变量" \& q' A; k2 y$ U
Index, 指标/指数
) O* P5 p! Z8 K0 H: h0 u4 [Indirect standardization, 间接标准化法* _+ {' S% T! Z9 S! ^
Individual, 个体" V3 c _4 h5 J+ W' `" K4 y$ A3 w! c
Inference band, 推断带
9 L) h4 G- `8 k3 VInfinite population, 无限总体
. M7 y& g8 i7 ]( A8 ?& y0 mInfinitely great, 无穷大
1 N2 u/ q' v0 Z3 f8 M+ |Infinitely small, 无穷小' {' O7 u/ H2 X- k
Influence curve, 影响曲线7 l/ f& @" A- z% I3 _. n
Information capacity, 信息容量& e) f' b0 x5 A/ ~; P: k# B* K
Initial condition, 初始条件4 X, ^0 G) Z* w" q. L
Initial estimate, 初始估计值/ j( R" \5 t# J2 S
Initial level, 最初水平
5 K3 ]1 _ Y+ c) G; w! {* v" d- MInteraction, 交互作用
7 |1 c ~) {* Q2 UInteraction terms, 交互作用项
8 W/ I v' J3 c% GIntercept, 截距
* S8 _2 n) j# p+ ], W4 {; JInterpolation, 内插法
) Q8 x% N; v& P$ Y8 f, }9 |Interquartile range, 四分位距: Z# Y! \' G9 S4 l
Interval estimation, 区间估计
+ {: W: F z+ v; lIntervals of equal probability, 等概率区间
) E' x7 b7 M; U1 ^3 b1 G/ oIntrinsic curvature, 固有曲率
. w0 y! A2 }' n( P3 mInvariance, 不变性7 y. Q; V! `5 W1 ?7 s& |: I- s
Inverse matrix, 逆矩阵
' o! \' m! V9 W5 ]- Q+ q# s t9 VInverse probability, 逆概率
7 |1 s5 o# ?+ T! G/ s! M+ K, Y4 hInverse sine transformation, 反正弦变换
4 L7 v8 Z, H8 J' N0 d, D& FIteration, 迭代
" S2 [" {- r$ q, [' s9 r/ F5 ?Jacobian determinant, 雅可比行列式 K0 P7 c! X/ F2 u
Joint distribution function, 分布函数; ]# l1 C4 L8 R9 [7 M0 @8 j% Q
Joint probability, 联合概率
8 f u# [+ m2 x: oJoint probability distribution, 联合概率分布
d5 k ]8 w5 X. R$ M$ eK means method, 逐步聚类法8 q- _! U) S9 v: x" W* @5 q( h$ [
Kaplan-Meier, 评估事件的时间长度
3 K1 [+ E; E- k* H+ x( A- `4 XKaplan-Merier chart, Kaplan-Merier图
9 c) ` x9 O) Y: D' y9 h, FKendall's rank correlation, Kendall等级相关
* }9 }- {: ~4 _Kinetic, 动力学
% X' G* [2 z, g4 |: W; \: K; @Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
+ B$ ] W5 A; B8 y/ fKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验& d: M* \; O+ b2 ^9 y* U# C
Kurtosis, 峰度
0 W3 ?1 f$ P0 W0 ELack of fit, 失拟& Z C$ N: P! h' H" |7 Z
Ladder of powers, 幂阶梯# R- r, O9 [+ ^
Lag, 滞后! Q* o: H# P/ ?" |+ c& s
Large sample, 大样本) b( `2 M/ E8 F8 t& s! O% q1 p$ V
Large sample test, 大样本检验
8 `/ O" Y9 l: q; p" A" A! ZLatin square, 拉丁方
e v* [, d" B+ o! [0 PLatin square design, 拉丁方设计0 d4 |$ h4 f% Q8 } \0 {
Leakage, 泄漏
1 g" x; u7 M; j0 d6 W- cLeast favorable configuration, 最不利构形
9 Z3 t1 q, D2 j( O: U4 N9 }Least favorable distribution, 最不利分布
) v% @: W& j* d; c/ `* Y7 mLeast significant difference, 最小显著差法
( {, S: w3 B; r2 OLeast square method, 最小二乘法
. Y! v Y, r: a* e! k/ N3 I5 dLeast-absolute-residuals estimates, 最小绝对残差估计$ [/ ?6 f. I7 K% ^0 ?/ c
Least-absolute-residuals fit, 最小绝对残差拟合
4 m6 _3 u( D. N* wLeast-absolute-residuals line, 最小绝对残差线
$ X6 Y% c+ P, f8 z3 V3 P1 W4 L) }Legend, 图例
5 P: b Z K2 `5 R( {2 wL-estimator, L估计量 c2 }$ C$ |, Y4 H* q+ C
L-estimator of location, 位置L估计量
" @: N& w7 P4 sL-estimator of scale, 尺度L估计量
, @( X5 d6 {2 u; C1 BLevel, 水平' _1 H/ w) Y+ z/ E9 i# r* G
Life expectance, 预期期望寿命( b; k3 K1 k6 S( \! [
Life table, 寿命表! K9 n9 E6 e4 t# q) k7 b
Life table method, 生命表法( I v9 k# {7 y+ z3 ~
Light-tailed distribution, 轻尾分布" L, s2 a* C" q2 Z0 U( a
Likelihood function, 似然函数9 N2 b2 ~7 q6 `5 ]/ ?/ k
Likelihood ratio, 似然比6 j0 D; d% ]# x' ^
line graph, 线图
' z: X7 u; p( p# d0 Y" b" u3 ALinear correlation, 直线相关
# H& V' S- ^. }4 bLinear equation, 线性方程
% B( O* }: C8 }# G5 F1 OLinear programming, 线性规划: {0 W# D% F- ^* A
Linear regression, 直线回归
$ l; E; n X# R) b# ~9 n5 Z$ |Linear Regression, 线性回归
) I* `# y6 N* X5 R3 c- B6 h3 I: XLinear trend, 线性趋势" ?& J% w9 I# F- _" X/ K% ]
Loading, 载荷 # W: s Z. h) e8 |9 {5 F
Location and scale equivariance, 位置尺度同变性
) U' u. A z1 ~4 hLocation equivariance, 位置同变性4 }. h. R+ k; X* Q; f
Location invariance, 位置不变性
2 R Z; Q& T8 f# ]+ g. s! U+ kLocation scale family, 位置尺度族2 H1 ^" l/ G& F% r
Log rank test, 时序检验 ( U% ^1 X6 w1 w8 `" o2 ?& I# }
Logarithmic curve, 对数曲线& h `( M1 V. F' \2 }/ \
Logarithmic normal distribution, 对数正态分布4 O! n/ V% ]4 s9 x9 A; o" w
Logarithmic scale, 对数尺度
0 t& |) K& D' w* Y2 N8 ZLogarithmic transformation, 对数变换6 u% k& B; y, }/ D0 K) M
Logic check, 逻辑检查
# U, @- n j; lLogistic distribution, 逻辑斯特分布
3 m7 t A5 |: `- F. W5 N5 |, GLogit transformation, Logit转换
s9 D# ?7 N4 ~; t" }; O8 \LOGLINEAR, 多维列联表通用模型
4 e) d8 R! c; C0 D1 lLognormal distribution, 对数正态分布
. g/ X1 N6 f SLost function, 损失函数: G: B4 M. i2 D* m( {' y
Low correlation, 低度相关
/ ]7 C" q; X; m/ O$ w* R6 ELower limit, 下限
) V. y7 _) p# e) h- ~* b* F, NLowest-attained variance, 最小可达方差6 ?( L( x$ Y6 {% J ^$ S3 V
LSD, 最小显著差法的简称1 h" k6 F8 d% c+ C. L. F1 @7 w# [
Lurking variable, 潜在变量
9 u, ~( k8 K2 F0 |2 D% a2 _Main effect, 主效应% p; ]2 P) y" E& B1 |" U. |& ?5 K
Major heading, 主辞标目
: @, }/ m( F% b1 S- W% x0 u( }Marginal density function, 边缘密度函数! ?3 F& H! e$ F" E: u* m
Marginal probability, 边缘概率4 X( Q: a" _& w$ i% ~: o" A
Marginal probability distribution, 边缘概率分布, o5 R1 T* X1 ?/ I7 V2 Y M
Matched data, 配对资料
' b4 F+ y8 R8 v' R0 sMatched distribution, 匹配过分布
2 m$ [9 `6 s Y" ^8 }& k' PMatching of distribution, 分布的匹配: M6 l7 E$ y6 k/ o9 c
Matching of transformation, 变换的匹配& a- b- q/ @1 P1 c( f: y/ k! l
Mathematical expectation, 数学期望% Y# g' O# h$ F6 F+ N; i9 V4 x
Mathematical model, 数学模型
: s8 V6 i5 ?- P( ?% J7 N# D# D; {Maximum L-estimator, 极大极小L 估计量
7 t6 `# m4 Q! }9 AMaximum likelihood method, 最大似然法, a* y% L6 w: @' r( a3 j% Q0 s
Mean, 均数5 l* o& S- O) J/ E% a2 W- a9 U# w
Mean squares between groups, 组间均方+ N$ k; m; `7 X7 y, ]' r9 D& t
Mean squares within group, 组内均方
+ ^8 t& t e3 i1 o7 wMeans (Compare means), 均值-均值比较, W' B' u- e, E/ D) a
Median, 中位数
) J8 j6 V+ v% x B) A2 fMedian effective dose, 半数效量
7 u8 B* I: y! d: lMedian lethal dose, 半数致死量
B- \- J! ?& QMedian polish, 中位数平滑1 g: {# W3 I7 H- J7 K, V
Median test, 中位数检验
& g* R( O* F2 X* X+ l" @Minimal sufficient statistic, 最小充分统计量' @& g! y. ~0 F2 {& V% l! W
Minimum distance estimation, 最小距离估计! b3 A. k) n1 |0 w) S- n" w
Minimum effective dose, 最小有效量1 |9 ~; p2 n2 j4 P$ j) u4 p
Minimum lethal dose, 最小致死量
: D0 r* m( U5 u7 y' n' ?Minimum variance estimator, 最小方差估计量4 z" H( L4 i- m% q- G" ?
MINITAB, 统计软件包1 e" @2 ]" u0 x9 s/ @1 F
Minor heading, 宾词标目7 _1 e9 ~$ F3 m
Missing data, 缺失值
1 j, u$ F$ m) q0 L* ~5 ]Model specification, 模型的确定2 l7 w; l8 q9 Q" ]+ [5 x
Modeling Statistics , 模型统计7 a$ @+ q) ^5 I$ j# T+ F
Models for outliers, 离群值模型) T3 d# M7 H+ w) ?
Modifying the model, 模型的修正
b: _- K" F! @1 \9 k- t, }Modulus of continuity, 连续性模/ M Y5 y: ?# _4 [- \* V( V5 t! q
Morbidity, 发病率 7 Y) S1 L! g. U2 v, L4 B( g
Most favorable configuration, 最有利构形* a5 h$ k& |+ @9 N# `1 x4 }0 q4 C6 l
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
4 v. g: |5 Z! O- tMultinomial Logistic Regression , 多项逻辑斯蒂回归6 c; ?! q+ I" X$ y; b o7 w
Multiple comparison, 多重比较* c( d5 T# E% @$ c$ u
Multiple correlation , 复相关
) L7 @, R j: S$ p- u- K, B) DMultiple covariance, 多元协方差* A, N5 O6 {) p6 u- W3 F
Multiple linear regression, 多元线性回归# Z/ T1 R' d% L" A' D: I
Multiple response , 多重选项
' I& m4 {# i! e$ V* y& |/ B2 MMultiple solutions, 多解
7 H, P, A. g; GMultiplication theorem, 乘法定理
) I* F7 L) H- Z# _' xMultiresponse, 多元响应
% L/ t5 h' _. g3 [0 L: |) ?Multi-stage sampling, 多阶段抽样5 k" a+ A! I+ p" Z3 o6 w& B2 _; d
Multivariate T distribution, 多元T分布
3 @7 ^! r8 t* }9 HMutual exclusive, 互不相容+ K+ I0 @) ]; [! H2 ?% Q' r4 \8 Z) s
Mutual independence, 互相独立7 U* S8 h7 Q7 j3 z" G5 }
Natural boundary, 自然边界$ O0 P L) v) [' Y) }& P# @. M
Natural dead, 自然死亡
# p7 F. D y3 S# z+ Y8 hNatural zero, 自然零
) @. F6 s; `6 ~- a+ {( y, oNegative correlation, 负相关
# z4 i! h1 K7 }# n0 XNegative linear correlation, 负线性相关( G. C, Q s9 a
Negatively skewed, 负偏8 A. W1 Q/ p; H* |& l! I ^
Newman-Keuls method, q检验
8 x7 V. k0 r0 s0 j- hNK method, q检验0 \* A/ Q( ~3 j: N3 [+ h8 Z
No statistical significance, 无统计意义5 M" w5 m6 O) A# v2 A$ G1 F% D
Nominal variable, 名义变量
/ u( S2 f. J% @8 d5 g* aNonconstancy of variability, 变异的非定常性
7 O7 f# [: f' R4 N! @8 Q$ cNonlinear regression, 非线性相关% y# }* v! V4 R) F- x' p
Nonparametric statistics, 非参数统计 W: `* _- d- x+ Q
Nonparametric test, 非参数检验
0 M0 S6 _3 B1 o+ u8 nNonparametric tests, 非参数检验+ n; u7 a* A9 b
Normal deviate, 正态离差& ^6 U: r# J9 j( ^
Normal distribution, 正态分布
o) c+ X% _9 @! }Normal equation, 正规方程组9 m5 L. @9 v. z @% r( @$ V
Normal ranges, 正常范围7 P/ n8 w0 k4 H e+ Y; a
Normal value, 正常值0 H" s& s) b0 [ L5 W! x7 y4 \, V
Nuisance parameter, 多余参数/讨厌参数
, K* J4 K( Z q) f1 U* zNull hypothesis, 无效假设 " N$ f& S5 p% F1 b( {
Numerical variable, 数值变量" W, o9 s* r4 a) R
Objective function, 目标函数; k3 i2 S. H7 Y+ ^
Observation unit, 观察单位2 ]7 ~6 }1 ?3 U1 v% ^3 U0 _
Observed value, 观察值& A2 _5 P1 [1 \, X5 c7 Z' `+ u. _
One sided test, 单侧检验
/ i6 D" `8 d _+ F6 fOne-way analysis of variance, 单因素方差分析! p6 u6 x( Y( k! R0 a4 N; }
Oneway ANOVA , 单因素方差分析% Q" v9 y0 u* r
Open sequential trial, 开放型序贯设计
" z/ X4 v/ M' u) D4 ]& ]; `- TOptrim, 优切尾
3 u+ P( N# d: S5 x8 F NOptrim efficiency, 优切尾效率
* X9 ], v! A: ~; d6 }8 Q9 z1 lOrder statistics, 顺序统计量
5 Q- ~; Y( O! D0 z4 w; n6 KOrdered categories, 有序分类
: i- ^3 e" [2 BOrdinal logistic regression , 序数逻辑斯蒂回归
4 c5 W; Z, U7 X3 J Q8 O* M8 XOrdinal variable, 有序变量
' N1 j8 ^- F8 r% L* X, T) KOrthogonal basis, 正交基: F% U5 C# `( V0 w2 [4 K
Orthogonal design, 正交试验设计4 Q0 ?; x9 m& s5 m- i7 }
Orthogonality conditions, 正交条件
0 H. y% p) h! m7 LORTHOPLAN, 正交设计 . u9 F+ u2 K# P1 i% D; L
Outlier cutoffs, 离群值截断点& c- l0 X9 S* u1 l# a
Outliers, 极端值
1 P( W1 M" ]) Y' S# x/ O) AOVERALS , 多组变量的非线性正规相关
9 w+ i, }1 D8 }: \0 Y% O6 p n5 O' uOvershoot, 迭代过度
& t: z8 I3 B4 d [/ CPaired design, 配对设计
9 [! @3 ^; N w e' DPaired sample, 配对样本5 \4 F1 Q8 V8 E9 x1 ~/ I
Pairwise slopes, 成对斜率) M/ n5 Q F P% o, S# s5 A9 w
Parabola, 抛物线
" [; o' L0 F/ H9 C1 K' b; @Parallel tests, 平行试验
8 k, ~+ C+ _% o7 U* R# uParameter, 参数, |, ]; y( s" ~* ^$ ^$ s) M" |3 ~! B5 F
Parametric statistics, 参数统计
; n7 ^, w9 A) a7 L; C" ?Parametric test, 参数检验
p7 M" f' f3 IPartial correlation, 偏相关
( O: u5 r& T. |Partial regression, 偏回归% ^- k$ T3 X& _ s5 [
Partial sorting, 偏排序
; ^: I( D8 T6 I. v# TPartials residuals, 偏残差6 g( p7 H. q# o/ T5 R, }
Pattern, 模式
1 D' P, ?7 G) p" oPearson curves, 皮尔逊曲线
1 x# t( e& F3 y+ a! n8 Q Z6 XPeeling, 退层
" H ^8 B; }2 \& r7 N( LPercent bar graph, 百分条形图
+ P1 V. G- f9 @1 ?3 E1 @: v& `Percentage, 百分比( m' T; E9 C% b4 m3 Z
Percentile, 百分位数. ?; H% k, t2 |# a$ V
Percentile curves, 百分位曲线2 C( W! ?2 B% q e) q
Periodicity, 周期性7 U! j7 k4 W+ K* ?/ }$ f
Permutation, 排列
7 k& l+ Z9 u9 b& Q$ GP-estimator, P估计量
7 ^( g) [0 ]/ mPie graph, 饼图' S$ i- R1 Z- {6 H- T* P
Pitman estimator, 皮特曼估计量
$ D& L6 h+ Q! Q& |Pivot, 枢轴量: v$ V) d3 P6 x% e5 z V
Planar, 平坦* G5 D% \- d, M# r
Planar assumption, 平面的假设/ V: C6 m( c" x& m! N% a
PLANCARDS, 生成试验的计划卡( b [4 M2 B$ U, R9 G9 R
Point estimation, 点估计' }3 x$ w/ I3 p$ [
Poisson distribution, 泊松分布
- @$ q6 \0 {! \Polishing, 平滑
0 x( k+ v$ P7 K% YPolled standard deviation, 合并标准差
, w4 W: S" H! X4 U3 ]0 ?Polled variance, 合并方差' P% x8 O$ j0 Y: {
Polygon, 多边图
( w/ g9 s! X) M7 zPolynomial, 多项式
, M7 k9 _( r! @* l* |; MPolynomial curve, 多项式曲线
! e% p* G) `- ~. A/ {" t' NPopulation, 总体% S- ^5 ?2 `- ^ n j
Population attributable risk, 人群归因危险度
/ d. ^7 N2 O! y' RPositive correlation, 正相关
! M! y8 P$ m3 ?/ W g' I5 R; HPositively skewed, 正偏) ?" ^- X9 l! }. U' d+ _
Posterior distribution, 后验分布
+ M$ ?. h& p4 {$ w' t( I" Z: `Power of a test, 检验效能
; ?) X& R7 x3 p' q! j+ M5 pPrecision, 精密度
7 q* R2 s) `& IPredicted value, 预测值
: p# }0 N; B) e. F. z2 e8 QPreliminary analysis, 预备性分析
) z$ _( r/ E1 s! ^0 [Principal component analysis, 主成分分析4 ~- p$ U% p' o; ^
Prior distribution, 先验分布
/ C3 a; v( y1 R% g* o1 aPrior probability, 先验概率3 F/ f0 B2 x/ z8 g* T4 F) e. Q
Probabilistic model, 概率模型
7 }) u4 y* o) s& bprobability, 概率 T" }3 T5 r/ p3 o' o- f8 F
Probability density, 概率密度) s: E( U$ A z' R y1 \- N$ v
Product moment, 乘积矩/协方差 m4 ^ Q' w; s* A5 @
Profile trace, 截面迹图
' O' c }0 w/ Y, J# X; AProportion, 比/构成比( j: ^) q9 Y7 X. }' W
Proportion allocation in stratified random sampling, 按比例分层随机抽样9 l9 @* y, Y" _8 S) A! U+ ^
Proportionate, 成比例( f* E8 g) J& `7 o) Y* Z# H3 |
Proportionate sub-class numbers, 成比例次级组含量& W) ^& p2 I. g
Prospective study, 前瞻性调查0 r o t$ p2 Q- E4 z* p
Proximities, 亲近性
* r: L3 C- V; h G# y: B! qPseudo F test, 近似F检验' o0 b6 Z3 N6 l9 v8 F9 F
Pseudo model, 近似模型' c3 M( d2 D3 i( N1 h) C
Pseudosigma, 伪标准差* o8 h/ Y% K" H# Q* D9 C+ T
Purposive sampling, 有目的抽样
( ]# F# e! c p' c5 c) ^/ @& fQR decomposition, QR分解
/ _' U" i6 M, ]6 X5 }Quadratic approximation, 二次近似/ W" P) J- `* C8 W/ z& i0 t+ p
Qualitative classification, 属性分类
+ B1 a. i/ [7 e: \! ?Qualitative method, 定性方法" `, g& C. j! Z% r
Quantile-quantile plot, 分位数-分位数图/Q-Q图 v. A4 L( g& S' `$ B! D$ [
Quantitative analysis, 定量分析
" U( I1 Z- i! y0 I. IQuartile, 四分位数# G. E% O6 f. w8 F4 o
Quick Cluster, 快速聚类
1 ^( m- |4 Z* }( I+ l" @" b1 \7 NRadix sort, 基数排序( T5 ^9 m! d* e6 B
Random allocation, 随机化分组
+ K/ W. } C7 e: uRandom blocks design, 随机区组设计4 S/ |" y0 T2 }5 f
Random event, 随机事件& X9 q. R+ w" n4 i+ f [, a8 V
Randomization, 随机化
# C% M4 ~7 @& S& L ]Range, 极差/全距
& g, m5 C+ R; D0 ^0 X( }Rank correlation, 等级相关; |. e4 I+ E9 ^: P0 U7 h0 ^
Rank sum test, 秩和检验+ i- d: j0 |! W X
Rank test, 秩检验
7 m$ g& s) ?2 y! y5 xRanked data, 等级资料4 X# E8 \8 H$ f8 k6 l7 v
Rate, 比率: d2 Q* [, m& M/ _+ j/ d
Ratio, 比例
6 t7 H5 L+ M0 m6 U0 Q- I+ URaw data, 原始资料
7 ~4 y- g) a( O6 p* E5 I3 sRaw residual, 原始残差
4 l: `" x8 d' A5 zRayleigh's test, 雷氏检验
+ o& D4 H8 D/ U+ BRayleigh's Z, 雷氏Z值
4 ]/ E# L) J4 K& B: n5 ZReciprocal, 倒数% [: R+ K7 w* k }/ J. R- G
Reciprocal transformation, 倒数变换6 ^0 I# F, b3 I" S1 E7 W+ H
Recording, 记录' w6 E% b& F, N1 r+ Y/ X
Redescending estimators, 回降估计量' R/ _* b$ C8 F+ c- k b1 r1 L$ z
Reducing dimensions, 降维7 s+ Y; U" L+ P" {! L; V$ W
Re-expression, 重新表达! ?% F, y7 o- j6 n; W) z! B/ W
Reference set, 标准组
% {% A. Z2 s) I6 j% {2 oRegion of acceptance, 接受域3 `$ B: {+ T1 o7 n: \
Regression coefficient, 回归系数
F/ T2 O% A. h3 }Regression sum of square, 回归平方和 h% H+ E5 R- t
Rejection point, 拒绝点7 ?: K2 u$ d, K' c- G7 Z6 |
Relative dispersion, 相对离散度
- V' G- l9 S- D/ k! O+ g/ E5 u/ C4 FRelative number, 相对数% }' B! |; a: X+ m. @
Reliability, 可靠性
# u% V2 T# l/ \) IReparametrization, 重新设置参数
( H" ^* {# i) [6 _3 |0 O7 U* uReplication, 重复" D/ `) [" K. x) L4 z
Report Summaries, 报告摘要* ]2 k# g4 |$ o0 c
Residual sum of square, 剩余平方和+ C! ]" d2 }3 W6 j! q
Resistance, 耐抗性7 M# j+ o' \8 A: i5 ]
Resistant line, 耐抗线
7 M% X [& f2 y9 i# V7 lResistant technique, 耐抗技术) f2 q/ Q% W- ]- m9 ^+ l8 {
R-estimator of location, 位置R估计量
! q o) H3 |2 r9 H% h9 A& }R-estimator of scale, 尺度R估计量7 O$ ?: ~: y" n$ K4 k
Retrospective study, 回顾性调查
2 i h" ~' I. }4 U* O& Y( @# xRidge trace, 岭迹) e7 C$ u* P" C6 G |, S F e
Ridit analysis, Ridit分析/ J0 C+ W1 F' Z; m& Q: t3 W" n! t: d8 m
Rotation, 旋转% \7 C; v b& ?, v6 I, ~. T
Rounding, 舍入
, [% m) u3 Y. Z ~$ sRow, 行
! Y& d; V7 M) G$ gRow effects, 行效应$ o+ G/ ~; ~; N I! y) }. W
Row factor, 行因素
, m9 i7 O$ a2 E* c; L/ x- [RXC table, RXC表
* b( B) ?! O- j5 v H3 O# _% q6 MSample, 样本7 f3 q4 r+ ]0 i$ |; J' _/ P
Sample regression coefficient, 样本回归系数9 J: b4 E* L5 ]$ a
Sample size, 样本量
+ l3 D5 X* A) Y& V$ O1 nSample standard deviation, 样本标准差
, E1 v7 g1 h) `$ _# \( q, ^Sampling error, 抽样误差
* R! M" q: P9 N9 m# f* q P! QSAS(Statistical analysis system ), SAS统计软件包
. p1 f- _; _4 vScale, 尺度/量表
M0 R! b5 s7 Y" E ]; g1 h* K1 dScatter diagram, 散点图' w0 {* E: K( b+ x
Schematic plot, 示意图/简图( b* x4 o5 ~( v W# [
Score test, 计分检验
( `& C: I* P8 n* |+ @, v7 R* d6 }3 R, }8 {Screening, 筛检
. m9 ^+ |4 k0 N) W; f: BSEASON, 季节分析 * w9 i4 Z; Y# F/ A8 c: G( W
Second derivative, 二阶导数
9 k0 Q, O; J7 I, W. bSecond principal component, 第二主成分! a. |* }4 N- J: _& w
SEM (Structural equation modeling), 结构化方程模型
8 C) H9 i& e& c l8 i! GSemi-logarithmic graph, 半对数图
4 ]3 D* e* G% M7 ]Semi-logarithmic paper, 半对数格纸1 {& @( D4 \6 Y. |# n
Sensitivity curve, 敏感度曲线: D! r X) `1 h; H
Sequential analysis, 贯序分析6 t, K/ G1 e( O
Sequential data set, 顺序数据集
, H8 u; e& u$ GSequential design, 贯序设计/ x( @6 y, L+ { A U
Sequential method, 贯序法
' z `$ J/ B+ ?3 |Sequential test, 贯序检验法
8 {9 d0 l% h; @* f$ F) qSerial tests, 系列试验; k0 C0 s0 p. C/ |% N& S9 K1 v7 m
Short-cut method, 简捷法 3 E5 N& W3 }" i8 y- b* A1 |
Sigmoid curve, S形曲线( l+ ~8 {1 C) W4 ~
Sign function, 正负号函数
& i: E! \: K4 v8 K* L0 YSign test, 符号检验: Z& s E6 ]' g$ t, c$ D
Signed rank, 符号秩4 f1 W L2 T. c' T* |+ W! j
Significance test, 显著性检验 [# {. @, U* y8 N" P7 f$ w
Significant figure, 有效数字. G% k6 @8 G' E0 I0 G
Simple cluster sampling, 简单整群抽样
. K. ^- c, |' }2 c- H2 }2 P1 ASimple correlation, 简单相关1 |1 b# z9 G8 p" b" v
Simple random sampling, 简单随机抽样* ?4 K, f* @% e8 m3 a- Y
Simple regression, 简单回归1 U7 x' e6 {$ j' p
simple table, 简单表* H4 ?- [5 K5 E* c
Sine estimator, 正弦估计量
' E$ ], w5 _/ y* N' V8 hSingle-valued estimate, 单值估计
; s) L2 H2 x( i7 j$ m PSingular matrix, 奇异矩阵
4 r1 w9 W4 _/ i7 M7 v) ISkewed distribution, 偏斜分布% S6 d' g9 A0 J/ y1 Q9 H
Skewness, 偏度/ ^8 o+ y0 j/ Y ]
Slash distribution, 斜线分布
4 |* ~4 o. M$ w3 f) ]) {8 W% @Slope, 斜率' K7 c6 J+ z) c, u% N2 \
Smirnov test, 斯米尔诺夫检验0 b6 N1 A) z0 p- [/ V
Source of variation, 变异来源9 q o' F3 T; {) E
Spearman rank correlation, 斯皮尔曼等级相关
. W' M. |( P5 p" E) l6 N, h7 U; a6 w& jSpecific factor, 特殊因子5 Q( f1 ?; I* r! P
Specific factor variance, 特殊因子方差
) q* R4 b+ P& Q2 r& `1 pSpectra , 频谱! B' d/ Q9 J, }/ T3 O
Spherical distribution, 球型正态分布
1 C% s0 e- f" H! I( a' L) ySpread, 展布- }* W; }* i; o2 y; F
SPSS(Statistical package for the social science), SPSS统计软件包 [+ o+ y9 }, J
Spurious correlation, 假性相关
- v; }% I0 z' k. q; P% kSquare root transformation, 平方根变换
5 U, y$ ~* f6 ~- Q/ FStabilizing variance, 稳定方差
$ K$ i3 x3 t2 ]9 P! m+ lStandard deviation, 标准差
7 l- p; t# h: \* V! |) S# }7 z% zStandard error, 标准误
% b3 n, g2 W4 i% r# p3 x/ \Standard error of difference, 差别的标准误
3 d% g7 B4 P- z; A# B" q) ?; [. xStandard error of estimate, 标准估计误差
; E0 c6 x+ y+ e; Z3 MStandard error of rate, 率的标准误
& c$ i C7 R- w( D5 n4 dStandard normal distribution, 标准正态分布
1 b5 k1 P* E' b- C1 mStandardization, 标准化
5 _) q! y# ^3 QStarting value, 起始值
, g% ]- F6 q; H" {9 ^( C/ ?2 K( C) k. HStatistic, 统计量4 v- M4 h% M, S/ \1 J
Statistical control, 统计控制4 ?1 t+ ]3 f0 o$ d0 t
Statistical graph, 统计图
d- B4 m7 j- A S5 Q7 IStatistical inference, 统计推断
( p/ n7 y) i7 J- ~+ N9 c% B+ YStatistical table, 统计表
9 w8 j; ]8 w* o* QSteepest descent, 最速下降法
+ C; \' t4 {4 ZStem and leaf display, 茎叶图
- B" O( @- j# h9 _Step factor, 步长因子 `. `6 D" a7 Q w+ j) F, c- E
Stepwise regression, 逐步回归
& Z4 d2 v `; g7 ?4 IStorage, 存
" }7 Y0 W3 n% T* BStrata, 层(复数)5 G1 n- u) X8 f$ F9 f
Stratified sampling, 分层抽样
1 F* L1 ]! H1 v k- s3 vStratified sampling, 分层抽样: }2 g& H' d/ {
Strength, 强度
& @" ^# I, ]" |" g/ `1 ]Stringency, 严密性# g/ i% B" A* Q% P1 j
Structural relationship, 结构关系3 a+ a0 S1 ~) ~8 w$ J
Studentized residual, 学生化残差/t化残差7 `- d" a* t, W" t+ y+ \( m8 ]
Sub-class numbers, 次级组含量; w" n; i+ f' A
Subdividing, 分割! e$ y8 a; F$ }' _1 G
Sufficient statistic, 充分统计量9 r! w* K8 m: p6 {1 T
Sum of products, 积和( e8 Q# t8 {/ M: ^0 |/ k7 s1 j
Sum of squares, 离差平方和% Y w) \$ L# \9 e A
Sum of squares about regression, 回归平方和8 @2 H- k$ f% K
Sum of squares between groups, 组间平方和
2 j, b- N e& \; m8 {8 _Sum of squares of partial regression, 偏回归平方和9 ]. W0 f* o' }& ^
Sure event, 必然事件, N; Q4 z5 t+ U! l' P
Survey, 调查 I$ `3 |# X9 ?! \$ r% _
Survival, 生存分析
# [, S9 q' {- ?" {5 RSurvival rate, 生存率
* k/ e, S4 A% t% j, p0 oSuspended root gram, 悬吊根图
6 l1 \1 h- a% E. KSymmetry, 对称
0 e- K: g' {+ eSystematic error, 系统误差
! w: C( w" Y5 t# USystematic sampling, 系统抽样
( x! `2 e9 b0 r l3 Y: q; K9 MTags, 标签& d$ Q" L- V( [3 {' U D" x
Tail area, 尾部面积( r% |$ C5 ]% D4 u: c
Tail length, 尾长 M$ _7 J' T f# N
Tail weight, 尾重) _9 `, |1 }0 N1 l( q, f( d
Tangent line, 切线
; ?& y, e9 b0 G* y( s& g6 ~. e+ KTarget distribution, 目标分布
. v8 T' A( Y* v' VTaylor series, 泰勒级数
& b2 s4 v& m: _0 j: y1 [( o$ hTendency of dispersion, 离散趋势
q* g8 j! E) [1 r& xTesting of hypotheses, 假设检验" C9 c, B2 @9 W3 [
Theoretical frequency, 理论频数
! p6 F; s4 c; u$ H. _Time series, 时间序列) x, C; H! F$ V
Tolerance interval, 容忍区间. N# F# j9 B( r& d$ [2 j
Tolerance lower limit, 容忍下限+ @% j3 v9 b- X% O
Tolerance upper limit, 容忍上限
% X3 T* V; {1 j: ?4 x, kTorsion, 扰率
0 J7 A9 c1 k3 P- G: DTotal sum of square, 总平方和; \. w* ^% n: e- e
Total variation, 总变异
/ \- x& \+ w6 ?% k$ `1 j- uTransformation, 转换
% X: L6 l) w+ a4 ?4 @) rTreatment, 处理
4 m) Y$ _. _2 y4 J' D# p3 @Trend, 趋势) E- \- q0 |: j1 F* z6 T1 I
Trend of percentage, 百分比趋势
3 e: F, d$ o9 P" o" l# BTrial, 试验" @0 E; q( u- E2 w% G$ e( k
Trial and error method, 试错法
! B# p. _5 ^8 _Tuning constant, 细调常数
2 n7 D7 {" x8 s' V. m! \/ B/ s( ^Two sided test, 双向检验/ N2 U' `5 V+ X% u4 ~$ o. W" {
Two-stage least squares, 二阶最小平方
) U# x/ q3 O: Z; }# {. b5 b9 ?. GTwo-stage sampling, 二阶段抽样
/ x# V% `# L n! y. J2 f! F* D: CTwo-tailed test, 双侧检验
% }" K& z/ U' i9 ~: x6 R3 @Two-way analysis of variance, 双因素方差分析3 l! t* p- q, |7 b! r# n
Two-way table, 双向表' u( W- t5 u7 w, Y& |5 i+ `. I
Type I error, 一类错误/α错误
+ C' w7 k3 ?( \* vType II error, 二类错误/β错误: j1 V: Q( X( N! |7 f7 d2 F
UMVU, 方差一致最小无偏估计简称' f. z- E5 i1 [* L
Unbiased estimate, 无偏估计& U! a- s2 i+ }" ?3 V
Unconstrained nonlinear regression , 无约束非线性回归5 g, n( S; w k% F4 l. o- G$ {( N. V
Unequal subclass number, 不等次级组含量" J1 b, O5 D$ b2 ~8 ]
Ungrouped data, 不分组资料
% j% W- l' ^$ ~: ?Uniform coordinate, 均匀坐标( `% G/ o# M4 k& s
Uniform distribution, 均匀分布& i, z$ ^4 l/ ~3 R
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
4 a' P8 N) b& N% E t! h' V5 aUnit, 单元
0 ^2 k3 d( E$ ~) d/ BUnordered categories, 无序分类
l1 W( d8 h& MUpper limit, 上限) ?: {) Z# W; O* [0 E% t( c
Upward rank, 升秩
. o! b% z: h( iVague concept, 模糊概念
9 y9 z6 `, C7 N+ Y0 Q6 N/ f2 L5 vValidity, 有效性% m( {' U- d0 v* s
VARCOMP (Variance component estimation), 方差元素估计
( J& U/ N {, iVariability, 变异性2 b4 A: O1 u7 ^' d. x' h3 ^9 o) V
Variable, 变量/ [; \6 Z! M! e/ U
Variance, 方差
! w) `) k. G6 c- X5 {" k6 DVariation, 变异* b$ N" G2 s6 c/ S
Varimax orthogonal rotation, 方差最大正交旋转2 R5 M& d% t4 I* c4 I+ [$ [
Volume of distribution, 容积# q- H: g: y! j# m
W test, W检验% f1 A# z0 A2 y* i3 r! A7 J" T
Weibull distribution, 威布尔分布% B6 f$ `8 S+ S1 `7 G8 F! l" H3 }
Weight, 权数8 I4 D1 C, H& c4 Y% z/ G2 J
Weighted Chi-square test, 加权卡方检验/Cochran检验
" M" F3 }4 X) s7 ^/ AWeighted linear regression method, 加权直线回归
$ ~( h( T; V. W U. [0 B4 mWeighted mean, 加权平均数
8 q0 K6 N3 m2 s8 D7 L6 KWeighted mean square, 加权平均方差( f1 H X. e. L% a; t8 }. W
Weighted sum of square, 加权平方和$ W: n* ^. i5 Z! s8 f/ P
Weighting coefficient, 权重系数
- q3 M/ T# m$ I: }/ MWeighting method, 加权法
! R3 z E9 s+ g6 M( E4 WW-estimation, W估计量
/ K p$ T+ \% c6 y* U6 u0 pW-estimation of location, 位置W估计量
: R* |6 ^7 }3 f3 eWidth, 宽度
/ ^( ]) G8 L" `+ e2 NWilcoxon paired test, 威斯康星配对法/配对符号秩和检验
$ B+ u$ ^8 I5 w! nWild point, 野点/狂点
0 }$ O5 A) N/ FWild value, 野值/狂值
. {1 q* A4 Z2 k* x1 H, S- wWinsorized mean, 缩尾均值+ c3 s$ Q% Q9 j: u3 S/ u
Withdraw, 失访 3 l n" \" n' R. k; W) l: D
Youden's index, 尤登指数7 ?2 D( T5 X5 f
Z test, Z检验% f. A+ N/ Q# z8 ~/ Q: O3 Y; V0 A
Zero correlation, 零相关* m: z$ }6 q( q* n& C, S# b# X
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
|