|
|
Absolute deviation, 绝对离差6 |5 f' H2 d9 M; y7 j% o6 c
Absolute number, 绝对数
S. s1 b' C. H8 NAbsolute residuals, 绝对残差
- _2 l$ y: |+ ~: K" LAcceleration array, 加速度立体阵5 m& I7 b/ z% g& Z5 ^9 b) T
Acceleration in an arbitrary direction, 任意方向上的加速度
, s& r+ f+ c4 tAcceleration normal, 法向加速度9 t @" w4 w" l; ^2 Z3 E5 Q) G
Acceleration space dimension, 加速度空间的维数
# v# s o( M- _, g$ w, h+ }# ~9 LAcceleration tangential, 切向加速度
) j; Q! J% T. ~: ^; _) l; M5 x) g. rAcceleration vector, 加速度向量
0 m) a% K" Z2 L5 M& l: `Acceptable hypothesis, 可接受假设7 C0 V" }# B+ Y8 u: Q
Accumulation, 累积
: R6 }/ H2 L3 m; _7 DAccuracy, 准确度( |, Y: \% A8 A% ^' T! ^
Actual frequency, 实际频数* _2 E, m/ _7 [# r; C
Adaptive estimator, 自适应估计量3 P% k, _& y# B" z& x
Addition, 相加: ^/ x0 r4 s: h* J2 g) @$ n7 M
Addition theorem, 加法定理
% U- S/ p: A+ T& P, q3 ^0 J7 d0 |5 VAdditivity, 可加性
. p8 z4 H) V, N3 @Adjusted rate, 调整率: r' e, T8 k; n" R4 A) e
Adjusted value, 校正值$ N, S+ A; K8 e8 ~1 m; i; E& o
Admissible error, 容许误差# Z D) T5 C0 u4 k
Aggregation, 聚集性
0 u1 B8 J6 }0 r( `8 c) WAlternative hypothesis, 备择假设9 M" w% y" ?( A2 q1 e2 W* k
Among groups, 组间' J: K/ B2 {, W3 T2 p
Amounts, 总量
$ X( V' V4 R% v( K9 o% wAnalysis of correlation, 相关分析; c3 T: i2 j. [8 g% I q, A, @. z* w! f4 ]
Analysis of covariance, 协方差分析- h( f2 U) D- F( ]# m- x
Analysis of regression, 回归分析
) [& @/ X1 `6 `7 v0 w; u3 `Analysis of time series, 时间序列分析
j9 D7 {: ]9 T0 ^Analysis of variance, 方差分析& B! d- @0 e! `" C( E1 U; Y
Angular transformation, 角转换; R1 V4 i8 d+ |5 o
ANOVA (analysis of variance), 方差分析* _ c# e7 l; z, D! k
ANOVA Models, 方差分析模型
% v$ e( M- y% e8 d3 ^- hArcing, 弧/弧旋
2 D- k9 i" t* h3 D4 l/ `Arcsine transformation, 反正弦变换& D' g( _; D$ ?2 i" U: R1 n
Area under the curve, 曲线面积$ r4 J7 K6 y3 E+ R
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
" u) {" a2 {! K4 H$ _; c! e& _ARIMA, 季节和非季节性单变量模型的极大似然估计 ; ]2 |3 u7 f; q+ ^/ d& e! o; W
Arithmetic grid paper, 算术格纸
0 a: F2 k* j8 G, _1 X7 @Arithmetic mean, 算术平均数7 y( M/ Z/ |) q E
Arrhenius relation, 艾恩尼斯关系
i6 I* V6 |; }6 a- H- \2 TAssessing fit, 拟合的评估
. B7 r4 o' f& I# x- H* F3 ?Associative laws, 结合律
. _- [" R3 k! v! ?4 DAsymmetric distribution, 非对称分布
# [* _5 A/ B+ z) P6 R% {1 I0 jAsymptotic bias, 渐近偏倚
% ?. `$ j L3 K4 e( g, E) uAsymptotic efficiency, 渐近效率$ ]5 R' c/ ~( c+ ~4 _2 G- `
Asymptotic variance, 渐近方差" q* _+ W% k1 M8 I
Attributable risk, 归因危险度
7 i) [, T4 P2 FAttribute data, 属性资料
0 y* W' L( E$ ]8 mAttribution, 属性
. W6 Z, X) k8 LAutocorrelation, 自相关
) m1 a. I n, Y7 i/ [% f T4 DAutocorrelation of residuals, 残差的自相关- F4 Q& l/ c0 E& S1 g' |" l
Average, 平均数. ]- H2 e$ @) {7 V* ]& s
Average confidence interval length, 平均置信区间长度
* j% h; v& v( W: \% T, o" x% `; @Average growth rate, 平均增长率1 a1 w! Z# F, A( `- @5 M: y' \$ c
Bar chart, 条形图4 B. L% E9 K/ w! f' c9 r0 K& b* |
Bar graph, 条形图8 V' Q# {. v# m
Base period, 基期
& Q6 p% ^ o4 w6 Y8 c8 K0 R4 mBayes' theorem , Bayes定理
4 U" y+ C F, LBell-shaped curve, 钟形曲线0 _: D3 o' v7 \; Z2 m/ g
Bernoulli distribution, 伯努力分布3 E2 U4 ~+ m# t4 ~
Best-trim estimator, 最好切尾估计量
+ \: f- f1 l/ S/ A( |Bias, 偏性
1 O7 `' n B O( v- l1 tBinary logistic regression, 二元逻辑斯蒂回归
! I# X$ C) ?' w: z0 Z9 aBinomial distribution, 二项分布! f# Q; S4 d) r& H& E
Bisquare, 双平方1 k1 i0 v8 F6 f2 I4 S
Bivariate Correlate, 二变量相关4 h7 b4 W, J6 l; H8 Y ?5 c
Bivariate normal distribution, 双变量正态分布8 [1 M" v# ~* b6 [: ]; [
Bivariate normal population, 双变量正态总体2 B* }( I; z. g6 [ ^/ j
Biweight interval, 双权区间
2 @$ Y U$ r& ~/ I8 |Biweight M-estimator, 双权M估计量
) Z0 g$ ?, Q* }9 ]$ `9 m( C) p* eBlock, 区组/配伍组6 z: Q. f. m$ `' P- o4 v
BMDP(Biomedical computer programs), BMDP统计软件包" f& q+ c0 I! ]: P
Boxplots, 箱线图/箱尾图& E! I- H; F3 P9 c
Breakdown bound, 崩溃界/崩溃点
t" N: W) D; K7 rCanonical correlation, 典型相关9 w; l; ^8 U3 v* P) q
Caption, 纵标目
# A% U, }$ w1 a* qCase-control study, 病例对照研究
! U0 ~( Q' h4 l O; pCategorical variable, 分类变量7 Y( [6 R* u- _: ?2 t1 q
Catenary, 悬链线
9 D( k$ i$ @& ]1 l0 E. y( y7 OCauchy distribution, 柯西分布: P3 ~' W* e+ o3 ]. A) n
Cause-and-effect relationship, 因果关系( |% m" a9 }8 c! [+ v+ Q5 R
Cell, 单元( J, V9 p# e2 }' p, Q
Censoring, 终检- {& o$ `/ J" M
Center of symmetry, 对称中心
& @6 L8 u) Q5 N4 _Centering and scaling, 中心化和定标( G) O- x; {1 ]
Central tendency, 集中趋势
* Y2 o$ W- h3 y9 n |Central value, 中心值" i: U$ c9 B# F9 c& Q
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
2 O- F6 j" L; G {8 C- @' ^$ U4 FChance, 机遇
# s( {6 }0 y# ?% s ]- mChance error, 随机误差( ?* Y. c7 R8 e7 B% W' Y
Chance variable, 随机变量
2 Y9 D2 m' k4 v& Q# ~; I* x9 h& WCharacteristic equation, 特征方程9 r' Z0 i6 M, [+ T; A
Characteristic root, 特征根. p$ @; `/ ]( I
Characteristic vector, 特征向量
- O% E" {$ c9 F# kChebshev criterion of fit, 拟合的切比雪夫准则
# \- s9 T1 o$ o/ q/ A1 h5 C5 N4 h9 cChernoff faces, 切尔诺夫脸谱图
; H2 Z5 c4 E0 Y; v2 W+ `Chi-square test, 卡方检验/χ2检验
( V5 s/ h w# H! O. ICholeskey decomposition, 乔洛斯基分解8 J% L) B2 j& |3 O
Circle chart, 圆图
' Z' O" A1 {& _; b) U8 ?0 oClass interval, 组距
1 }: s( ^6 W/ j+ J0 zClass mid-value, 组中值7 e M4 H0 M, [( ~
Class upper limit, 组上限' q2 N+ b% |: E( F9 G; d: `
Classified variable, 分类变量* K: z a5 Q6 ^0 S1 N! X7 @
Cluster analysis, 聚类分析; |( A& b4 }' T, l6 ?
Cluster sampling, 整群抽样
4 t r: ]9 ?! Z# P z6 a& P6 j5 a% {Code, 代码
" I# B! [- n7 Z2 d# Z( RCoded data, 编码数据& A+ o1 }9 H- Z% B
Coding, 编码' `( t/ P, n0 I7 n* _' i4 M
Coefficient of contingency, 列联系数
4 ]% x+ y( O% |% nCoefficient of determination, 决定系数
; j+ k: G# i% eCoefficient of multiple correlation, 多重相关系数
& ?9 M: {7 ]" p+ _4 f4 P( U% ]Coefficient of partial correlation, 偏相关系数
, v1 @6 R2 M% aCoefficient of production-moment correlation, 积差相关系数
; f6 ]) x2 x& D c2 gCoefficient of rank correlation, 等级相关系数
2 c! p* e+ ~( M- H* t- g- d. _- a4 JCoefficient of regression, 回归系数8 n/ Z+ {, D* Q4 d, R1 o
Coefficient of skewness, 偏度系数
, a9 ]+ r+ `/ x+ c6 H. ~* f0 |$ dCoefficient of variation, 变异系数
( h0 F) L. t2 B. R4 {Cohort study, 队列研究1 |1 Y( X1 ?3 A- R1 A
Column, 列$ t- b; m: \& Q% S
Column effect, 列效应
/ U' R: Z! h/ R9 e+ \Column factor, 列因素) _/ N( i0 S1 C+ ~" ?
Combination pool, 合并+ {- i5 K# O. O! a# y
Combinative table, 组合表1 G9 s- O( w1 f; x9 M9 W
Common factor, 共性因子
4 x- G/ W. Z- X# J) jCommon regression coefficient, 公共回归系数) R4 a! b& ?0 c/ h. m; J5 ~! }8 ~! }
Common value, 共同值) h1 b# s8 O9 j
Common variance, 公共方差% P- J- N! h9 m7 v' u$ Y5 H
Common variation, 公共变异- ~2 e; z4 f" S
Communality variance, 共性方差5 u6 y f0 j+ R5 }! }
Comparability, 可比性
* p) L5 J& g( Z5 o! M( `4 uComparison of bathes, 批比较# x8 W8 l7 b7 M- p+ g: w
Comparison value, 比较值9 W* q e) |# M
Compartment model, 分部模型
# S, T) p3 I4 N' z4 Z: B& K \Compassion, 伸缩' [: g a! o/ P* `# R3 ~3 S
Complement of an event, 补事件
* M" D$ U' _$ lComplete association, 完全正相关
3 |1 y1 R. _( B/ Z! X/ w4 n; mComplete dissociation, 完全不相关& \, u% a! _8 Q
Complete statistics, 完备统计量, s! v- |2 j0 z' [$ O5 A: p2 o
Completely randomized design, 完全随机化设计
) D S& ~. C4 K8 n. v/ @; {Composite event, 联合事件- E9 L; ^5 ?* H, a9 K$ v( N4 Q
Composite events, 复合事件% d9 W) o( c% @+ `- J
Concavity, 凹性
2 o1 z: V4 Z6 b! q3 g- {# o* eConditional expectation, 条件期望4 p! P" k+ G2 S: q
Conditional likelihood, 条件似然" p1 n% d) R3 d5 l& ?
Conditional probability, 条件概率
' _: J# u$ w# T& ~) L( N* AConditionally linear, 依条件线性
' {+ K# b+ P, w) kConfidence interval, 置信区间
! i2 i/ K0 a& I. y0 V7 _Confidence limit, 置信限
8 ^7 ?5 V( r6 Z0 L% xConfidence lower limit, 置信下限
o: |/ |' C3 l# i. J( \0 xConfidence upper limit, 置信上限+ E5 ]0 f+ O* l5 z' I0 o8 ~
Confirmatory Factor Analysis , 验证性因子分析! P. B7 b/ D4 n H+ I! d* l
Confirmatory research, 证实性实验研究 O$ g6 S8 F: x, M
Confounding factor, 混杂因素( T, c; _3 F( S
Conjoint, 联合分析& C2 R! y# s; L e
Consistency, 相合性
' k% g) {% ]; @% D/ u/ {Consistency check, 一致性检验! M2 Z) S0 M m$ W
Consistent asymptotically normal estimate, 相合渐近正态估计- b: R9 \+ \* p. v+ T! ]1 o
Consistent estimate, 相合估计
, H. F+ F6 R+ cConstrained nonlinear regression, 受约束非线性回归& ~7 r1 Q! v6 Z; ^
Constraint, 约束
7 L% }% P& i* N* u3 hContaminated distribution, 污染分布, N8 c" M, x6 n- R6 S' ?
Contaminated Gausssian, 污染高斯分布
6 b9 g# t3 l' _& n: u$ @" b4 mContaminated normal distribution, 污染正态分布4 B. L* K0 M* {5 k: `
Contamination, 污染
. C. s3 B" q5 lContamination model, 污染模型
; N0 L7 s3 C6 ^% K+ z5 JContingency table, 列联表
# s0 o$ E0 Y) u, U- z! D' TContour, 边界线
4 w! E- M1 a$ o, w( Y4 X# t! DContribution rate, 贡献率
1 j$ w7 @5 o& I7 T8 P) m7 J8 ?+ b3 @" iControl, 对照
: y. A* U5 K* |: k: t' ^Controlled experiments, 对照实验
: U) `, }; d- G$ Q1 ]: rConventional depth, 常规深度* ]9 U5 v: ]6 _' v+ h/ |
Convolution, 卷积
% Y) L0 R: A, d. k/ ]" eCorrected factor, 校正因子
7 |: ?- Q3 T/ x VCorrected mean, 校正均值- f3 p: H9 I; v9 R! E- I/ j
Correction coefficient, 校正系数# u# Q0 v3 s" [0 ~2 a, t7 |
Correctness, 正确性
7 k/ F9 ]- O! W7 FCorrelation coefficient, 相关系数! b9 K: l( T+ j( b. W# G) u
Correlation index, 相关指数
: y: d. ~4 ~ z( T5 j& N$ qCorrespondence, 对应
& g) t$ H9 b! o* F% {Counting, 计数
% h' u* i8 w; i9 v1 `: o2 Y2 w) P/ ZCounts, 计数/频数' ~: f* E. O# j& n# ^* `+ v9 h8 @9 C) T
Covariance, 协方差
& W2 j% L+ l5 Y3 S8 E' S: i: yCovariant, 共变
* O6 O8 `' [% o& V# DCox Regression, Cox回归
* \, I& ^2 T7 N9 l6 ACriteria for fitting, 拟合准则
" {$ n' W( q! s: M7 c" NCriteria of least squares, 最小二乘准则
$ {$ o1 J6 P+ L( TCritical ratio, 临界比
5 B/ |% J5 W( [6 f! n& ^Critical region, 拒绝域
2 Q p+ S0 c& [6 d/ FCritical value, 临界值
9 b8 H" g1 \' q. v1 t" m% CCross-over design, 交叉设计
( ?* F. b' M' B7 M9 QCross-section analysis, 横断面分析
1 V* {" C' o2 `4 O' {3 J9 X zCross-section survey, 横断面调查' m" }; o; i9 y9 f' H. e* a9 F
Crosstabs , 交叉表
4 N' ^3 J5 [' B3 [; R$ _Cross-tabulation table, 复合表
. E B. A, M- `6 C: NCube root, 立方根
! ~7 ~7 x1 U, s) r0 z: \Cumulative distribution function, 分布函数
6 N% d+ ]+ g- ]4 C X6 YCumulative probability, 累计概率
- q5 T5 e" T& A$ T5 g% @Curvature, 曲率/弯曲! l8 b9 F7 P* n U! R0 E# X% g0 J$ U
Curvature, 曲率
5 `0 F; J7 W! j( HCurve fit , 曲线拟和
: s N: z& S& xCurve fitting, 曲线拟合5 p1 Y, w0 t$ K2 C
Curvilinear regression, 曲线回归
8 u* w; j3 B7 s! X+ B5 wCurvilinear relation, 曲线关系
6 I6 S& J. `4 m8 r: ` _Cut-and-try method, 尝试法2 R8 o% Q& E- F9 S9 q, [ P6 B
Cycle, 周期
* S6 K0 c/ G) V- N5 r$ @3 k, fCyclist, 周期性
, L" h% Y: b d2 qD test, D检验
) K: u% X6 Z. G' t* CData acquisition, 资料收集 Z; a$ q3 y! M9 r' T7 I$ g: R
Data bank, 数据库4 @6 k+ V) F6 R# {: n' X
Data capacity, 数据容量
4 J5 P: M3 P3 ~$ m$ pData deficiencies, 数据缺乏! e# T" {( F2 U6 P' e* ]! J4 U; g
Data handling, 数据处理
3 J# W2 w0 d. N( AData manipulation, 数据处理
; l J i, b2 Z5 s \" aData processing, 数据处理
6 }8 Y! T/ c% k/ Z1 }Data reduction, 数据缩减
" \4 s& o$ Q; K0 cData set, 数据集
7 m' F2 y7 w6 u' f$ gData sources, 数据来源
, q' e7 N" b% t) g/ d2 Y: b3 I/ VData transformation, 数据变换 c3 S Y! A/ H5 _, n5 |( w
Data validity, 数据有效性
2 `: G# P+ M8 V. x. kData-in, 数据输入2 v$ O. q2 ^& Y
Data-out, 数据输出
/ A3 n8 g! b3 ~2 BDead time, 停滞期
4 B% b* Z' Q6 g1 Y7 ^Degree of freedom, 自由度; y9 y8 x' Y# Q
Degree of precision, 精密度
- f( g) T+ }& j+ a8 [+ U$ tDegree of reliability, 可靠性程度
4 [1 L5 ?+ a: _4 c! Q3 aDegression, 递减
8 Q. K6 Z) j! E$ a l& cDensity function, 密度函数3 L2 K0 v$ ~* ^' F5 s; `
Density of data points, 数据点的密度8 O/ y. t) G; ~4 K6 R
Dependent variable, 应变量/依变量/因变量 A2 ~) }0 G1 D- L! N2 \, b
Dependent variable, 因变量! D% N0 o0 x$ n6 x, h
Depth, 深度- y+ R1 @8 x7 x# v* J# i
Derivative matrix, 导数矩阵& h p5 \5 R" |) E
Derivative-free methods, 无导数方法. v: Y1 r9 s4 q, k
Design, 设计1 J3 g( @4 D% m4 i
Determinacy, 确定性5 t# Q, b' g2 y, l+ x
Determinant, 行列式9 X( ^1 N8 w- w9 e
Determinant, 决定因素
1 }% E$ [+ t- i, v9 A8 I, y- x& xDeviation, 离差5 Z& d' z0 k8 D' L( R3 h
Deviation from average, 离均差- T, l5 v) {9 G/ K" i/ c, f3 V
Diagnostic plot, 诊断图
0 L: _: `4 l, fDichotomous variable, 二分变量
6 d$ C- z8 z5 M1 p U: `Differential equation, 微分方程( X" f+ n4 y/ X
Direct standardization, 直接标准化法* X: b! l5 H H( F- Z2 C
Discrete variable, 离散型变量 d- M! x0 V2 T3 V& B6 y
DISCRIMINANT, 判断 0 C- ]* l( Z# O% H; K
Discriminant analysis, 判别分析
9 ~$ h* n) }7 P) ~; w: mDiscriminant coefficient, 判别系数0 K' b6 Y+ Y. }# s X5 t+ D% A5 \
Discriminant function, 判别值+ T. m# O) D' b7 w( {3 ~
Dispersion, 散布/分散度
$ |( k6 j+ b6 A: y+ yDisproportional, 不成比例的
, `; }% i( e! @# gDisproportionate sub-class numbers, 不成比例次级组含量. M9 D/ q* N# o# p) D" K
Distribution free, 分布无关性/免分布& y3 Z& ~% ]5 n7 o5 B4 v# W
Distribution shape, 分布形状 U" S; f* v) R4 B& P% }$ j
Distribution-free method, 任意分布法
1 D7 S6 G* p" P$ ~. xDistributive laws, 分配律
5 ]0 h' s$ e8 p* K- \2 z4 DDisturbance, 随机扰动项! J# B |+ G. {$ [; H! U1 L* I
Dose response curve, 剂量反应曲线
" E2 T0 ~: V+ n: U7 ]4 cDouble blind method, 双盲法
; X6 ?* ~7 M( W" `' K! v1 s: ]. pDouble blind trial, 双盲试验
6 ]/ p) p8 n7 S7 vDouble exponential distribution, 双指数分布
1 l) m: r q9 Q2 C1 T! e" f% LDouble logarithmic, 双对数! h' m. b" f* x" N
Downward rank, 降秩
% G0 P: w/ y1 T F6 ^% HDual-space plot, 对偶空间图& e2 | I3 a: j
DUD, 无导数方法
/ ]/ `9 m' e) SDuncan's new multiple range method, 新复极差法/Duncan新法
7 D f3 e- p/ s- XEffect, 实验效应8 L4 y4 Q" K O0 t4 E1 K, T
Eigenvalue, 特征值
' R$ W" M: q: K$ p9 C- BEigenvector, 特征向量
3 A7 a* h+ i% {+ ^9 XEllipse, 椭圆
2 X% `- P5 k5 P; QEmpirical distribution, 经验分布
8 @, g+ `4 \! I' o5 }( d+ w# jEmpirical probability, 经验概率单位+ g2 [1 S. P0 Q
Enumeration data, 计数资料
- L1 y" x0 `% s2 VEqual sun-class number, 相等次级组含量
7 }. H) k5 R7 l v# G; dEqually likely, 等可能: M7 s& F+ B# A+ ~( K- z- B
Equivariance, 同变性
7 c f+ p7 U; _ X3 vError, 误差/错误
; e. {- j: H, |; ]0 hError of estimate, 估计误差
3 o; t! S$ V- r" C+ h; \Error type I, 第一类错误
1 F0 j4 w* D e1 k' p; h0 uError type II, 第二类错误
6 m' e; f1 w- x4 HEstimand, 被估量3 |: Z) o7 y' r/ E9 v
Estimated error mean squares, 估计误差均方+ O' X6 X3 e& A( @ I/ m
Estimated error sum of squares, 估计误差平方和
) |$ Y4 L. N: E$ G/ z: wEuclidean distance, 欧式距离0 K W5 ?2 ^3 r% F
Event, 事件: h9 ?+ ?5 s3 ~3 M3 r% t
Event, 事件
" S8 C p$ X) C$ ]Exceptional data point, 异常数据点
0 u) B, `9 K8 f/ j* lExpectation plane, 期望平面3 R+ J @& g. W. p& O
Expectation surface, 期望曲面; |' E2 P, M/ r3 s
Expected values, 期望值- |; i/ r% u9 W* W( Z; p
Experiment, 实验
% m( M# O* Q6 \8 _Experimental sampling, 试验抽样
: } n0 X6 Q- z" ~Experimental unit, 试验单位
$ a- f/ {8 V; @ QExplanatory variable, 说明变量
- u/ M6 K$ o6 a% Q8 bExploratory data analysis, 探索性数据分析
3 \8 p+ t. `& `- yExplore Summarize, 探索-摘要
' s; j" Z- J% E) A3 TExponential curve, 指数曲线
% t2 X# r# ~- z; ]$ C1 e0 EExponential growth, 指数式增长# [. ~0 L! C- h6 [7 E& \
EXSMOOTH, 指数平滑方法 3 Q* o; v6 n7 o- r5 a
Extended fit, 扩充拟合
. X# O9 C9 n @4 zExtra parameter, 附加参数
2 S" j' ^: p1 B- m: V1 e4 }( J. cExtrapolation, 外推法
1 R! n# w4 |4 t: K+ Q& P: ZExtreme observation, 末端观测值- Q# m. r" f' L0 a5 f x6 a. }
Extremes, 极端值/极值
! l, N) E: n$ aF distribution, F分布3 r5 Z0 n" X7 R* [& G3 v* {- S
F test, F检验% j* Z3 i5 [) b! h M
Factor, 因素/因子( g7 B: X* _6 w$ ?/ Y
Factor analysis, 因子分析
( r3 `: `% Q) ^Factor Analysis, 因子分析
6 ~# d; P1 Y" L4 M7 S) C. G2 {6 `Factor score, 因子得分
' |# E+ h5 h; N/ V2 m2 l8 yFactorial, 阶乘
1 ^* \' S% e9 T. n- g, y( o" C0 BFactorial design, 析因试验设计
* n( k# y; X$ [( LFalse negative, 假阴性( H; r7 P& J* U) K* `7 h% j
False negative error, 假阴性错误
) M7 D# b9 N! }( x8 S9 e9 jFamily of distributions, 分布族3 j* Q# @; x# D7 D% G0 D
Family of estimators, 估计量族
& c. k S: b& AFanning, 扇面( M, M4 r8 L+ d4 `4 J1 k
Fatality rate, 病死率
5 Y/ l% V6 B4 A& ^! d3 H, {% CField investigation, 现场调查
/ ?6 z7 z4 B' Z) hField survey, 现场调查( S/ H/ a: ` Z. e7 Z: X
Finite population, 有限总体! P! Z* F4 o6 y( G) a
Finite-sample, 有限样本: \5 j* N) d/ X; I. a4 W4 I* u( t" O
First derivative, 一阶导数4 B; W3 M6 T+ r' q6 j7 l. ^
First principal component, 第一主成分 ?' u9 Z5 g- o
First quartile, 第一四分位数9 a% x3 `5 a$ X3 j) g0 E" x% H: `
Fisher information, 费雪信息量
- I5 X7 A2 y3 [4 e3 ?. W- Z, lFitted value, 拟合值
3 x0 M/ [, R1 j% v- l. NFitting a curve, 曲线拟合
& s7 |/ b% u1 A7 b+ YFixed base, 定基5 K+ D7 x' }1 V8 c9 J) F: a" U7 C
Fluctuation, 随机起伏4 g! c3 G- O1 G
Forecast, 预测) ]& q7 L; a$ m$ I
Four fold table, 四格表' _0 K" H* O( j4 s
Fourth, 四分点
: W1 x3 O! t6 D6 E6 V, B% ~! |Fraction blow, 左侧比率
8 R! I$ C/ T6 k1 pFractional error, 相对误差
% q( W/ c' p1 E5 H6 l N# @9 ZFrequency, 频率
+ [6 N+ @, J/ L2 m) w) ]" j+ GFrequency polygon, 频数多边图
& b) _& \& B9 i+ b$ U+ eFrontier point, 界限点$ P/ u( ^: e7 U! z
Function relationship, 泛函关系
6 ~% `$ R5 e' }7 U6 @, EGamma distribution, 伽玛分布7 \; d4 T% w; m. u- r1 s
Gauss increment, 高斯增量
2 B% O4 ?) O: q" M/ l% t% FGaussian distribution, 高斯分布/正态分布( X: E& _7 b- i* }, B0 l
Gauss-Newton increment, 高斯-牛顿增量
7 f( H4 {* S$ ~3 e4 U5 IGeneral census, 全面普查
4 K) i' }' e4 E) h2 P, tGENLOG (Generalized liner models), 广义线性模型
7 b" N' ` K3 t# x) zGeometric mean, 几何平均数
' x6 [) d9 W, G& L3 g" }! H$ uGini's mean difference, 基尼均差
- v7 r, J+ J7 RGLM (General liner models), 一般线性模型 7 f3 W3 T! ?; i! u( l+ i
Goodness of fit, 拟和优度/配合度
2 r+ W$ }1 f: } d1 v C* IGradient of determinant, 行列式的梯度6 a0 r5 Q% c! A2 k. m+ z
Graeco-Latin square, 希腊拉丁方; R' S# r+ ~7 o: W9 N. y
Grand mean, 总均值9 w) @; _( g6 ]1 N0 j2 g
Gross errors, 重大错误; S$ g! r/ p3 ?
Gross-error sensitivity, 大错敏感度
* z/ e, Q5 P! y. f8 N8 J3 D. }! r/ yGroup averages, 分组平均
+ G+ u' D! y2 L* D9 g8 S( x4 s9 UGrouped data, 分组资料
/ z: N+ {$ j3 Y5 s- k m. cGuessed mean, 假定平均数4 @2 ~7 j& r+ W
Half-life, 半衰期$ M* v& p: o( \# R
Hampel M-estimators, 汉佩尔M估计量
! h; `9 f+ X, [# @Happenstance, 偶然事件8 G6 U9 l6 F9 e2 u8 r
Harmonic mean, 调和均数
6 X& i: ]0 {, X! D/ b3 V. Q9 \Hazard function, 风险均数
( H- x/ S" F+ U* F( y y* zHazard rate, 风险率 t% l1 z% a( B. X9 h7 E5 W9 ~9 ?
Heading, 标目
, @2 ?2 R5 L5 `# S8 _! [5 N5 x5 h" iHeavy-tailed distribution, 重尾分布$ O. ]! x. D+ q1 C
Hessian array, 海森立体阵
+ \5 O3 u0 o6 EHeterogeneity, 不同质
! P8 |) K' ?' D% s+ F$ O/ Q/ ]' oHeterogeneity of variance, 方差不齐 ( _' L: R- l, \1 x
Hierarchical classification, 组内分组
2 I3 ]5 M8 w# B9 w6 gHierarchical clustering method, 系统聚类法
% b' T! s, C, f wHigh-leverage point, 高杠杆率点0 {* y! `$ i% \
HILOGLINEAR, 多维列联表的层次对数线性模型( k! P9 e* t( M9 F3 g
Hinge, 折叶点% M0 B s8 ]8 t" K9 i& J
Histogram, 直方图2 R* t5 F& ?* U0 I6 D$ x* K9 l
Historical cohort study, 历史性队列研究 w8 R! X o& U% @
Holes, 空洞
8 A7 C. g2 F5 h9 N- G. b; e& v3 VHOMALS, 多重响应分析8 O' E! `6 `9 v
Homogeneity of variance, 方差齐性
- S$ n: Y; G8 I0 J) ^Homogeneity test, 齐性检验, d& t& F9 s3 {5 N
Huber M-estimators, 休伯M估计量
. v; w/ y5 K- |5 H/ j/ I) zHyperbola, 双曲线
% N& J* A- U. A8 A, i- WHypothesis testing, 假设检验
+ f" C0 A. Y5 z* U! jHypothetical universe, 假设总体4 c+ I5 n6 H$ R. u
Impossible event, 不可能事件4 W7 a5 ]+ r$ k/ t* m
Independence, 独立性% R& a" G0 x6 y3 e
Independent variable, 自变量
7 e% c8 z( x6 R1 o) C7 QIndex, 指标/指数
4 a d" ?; ?8 C8 Y0 ?Indirect standardization, 间接标准化法5 ~$ h) G; T4 t9 q4 l6 x0 j* T ~' _
Individual, 个体: K! r e; P$ v
Inference band, 推断带
2 V- C) B0 u: ?Infinite population, 无限总体8 V, w- x- K, s% n" F
Infinitely great, 无穷大
# X3 K! `; O3 F' @$ ?Infinitely small, 无穷小
U- ]# t" z9 J% y1 }, m+ A$ {Influence curve, 影响曲线
( Z3 Y& Y4 y* j( f3 M; ^/ aInformation capacity, 信息容量& m# l4 L$ c; x
Initial condition, 初始条件
" w4 l# G1 T2 i3 i+ G) |Initial estimate, 初始估计值" }- O2 c6 U( Q7 O/ f) n
Initial level, 最初水平5 P! b9 F4 D$ T
Interaction, 交互作用
' k7 j' f& R: S! N9 yInteraction terms, 交互作用项- O9 [# Z3 v b8 b
Intercept, 截距
! M& V+ ]8 H7 K0 q8 sInterpolation, 内插法
9 w J$ ]& w7 r0 L8 |" _4 HInterquartile range, 四分位距
" p$ ?, {2 l l& E) ^ gInterval estimation, 区间估计# a& D! G6 ^% `5 Q% N. z( j
Intervals of equal probability, 等概率区间; R4 I" F1 C; h' N! C& G. U" }9 q. ^
Intrinsic curvature, 固有曲率
2 f. a. M2 o- BInvariance, 不变性4 y+ I" S5 X: B* M
Inverse matrix, 逆矩阵8 z/ j; G- `/ b5 ^7 @% M1 D) D
Inverse probability, 逆概率
+ `, t; H6 r- I" zInverse sine transformation, 反正弦变换7 e4 m/ R7 }1 {# }4 }# _* x4 X
Iteration, 迭代 $ d: f- U( g1 w
Jacobian determinant, 雅可比行列式8 c. g2 n# f9 y6 U
Joint distribution function, 分布函数
8 }# m! T0 ^# o& sJoint probability, 联合概率
- z8 Y' f7 k- z6 R/ wJoint probability distribution, 联合概率分布
( H7 p, ?2 Z" C; \$ M9 XK means method, 逐步聚类法0 t) z9 F: k' H2 Z9 L6 L( ]
Kaplan-Meier, 评估事件的时间长度
7 i: K% U- r) O) y# A9 t9 B4 g/ }! J+ F0 QKaplan-Merier chart, Kaplan-Merier图
& ?( o: D! Z. HKendall's rank correlation, Kendall等级相关& Q6 `0 b: C4 }/ ]3 X+ M3 y
Kinetic, 动力学$ U8 H2 t+ o3 U, E' E
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验+ x& Q8 g% p; O) g, H
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验$ C8 Z# g; x2 f9 G* {
Kurtosis, 峰度
7 N) v- j( g3 g7 VLack of fit, 失拟
; o& G8 m8 m x3 k. U+ u) fLadder of powers, 幂阶梯
1 g/ z0 _" b6 kLag, 滞后
" {3 c8 _5 k: W. F3 T2 ULarge sample, 大样本" A- B% l! j- l7 v+ j" {
Large sample test, 大样本检验* Y$ n- M% X, f% A2 w6 H$ j
Latin square, 拉丁方* Y! t6 ^& W1 S) |- |3 T/ r
Latin square design, 拉丁方设计
# v- V5 i" n d( sLeakage, 泄漏
( i$ l# s- m c$ fLeast favorable configuration, 最不利构形
9 B. y4 d- t! i5 Z( W, q) @Least favorable distribution, 最不利分布) o3 N q, Y r L4 e, A' v
Least significant difference, 最小显著差法& q4 i4 G" i$ y, h4 Q7 I0 O
Least square method, 最小二乘法+ q0 N0 w8 x+ k
Least-absolute-residuals estimates, 最小绝对残差估计
# B; G& i. ~1 t% D; {+ a2 }/ _Least-absolute-residuals fit, 最小绝对残差拟合
) {% }8 M0 V) g0 ^* GLeast-absolute-residuals line, 最小绝对残差线
: o! I$ t8 o4 b& tLegend, 图例% O; i% f! Z( O- \5 X
L-estimator, L估计量* A2 N2 M* o; O
L-estimator of location, 位置L估计量$ I4 s$ M4 V5 p' ?4 {
L-estimator of scale, 尺度L估计量/ _$ n4 g) ~5 w, h: k
Level, 水平7 g- D+ d) X" R8 V5 z/ s
Life expectance, 预期期望寿命
0 `& r9 S1 S. yLife table, 寿命表, h% E4 k& M& ?' g: U
Life table method, 生命表法* Y3 n+ C( b8 q% G, ~. Y% e
Light-tailed distribution, 轻尾分布
7 \9 Q$ \. @$ R" I, KLikelihood function, 似然函数
: }: z9 k/ G" A; }& e4 J( ~; k, ?Likelihood ratio, 似然比
5 D! \. h3 L/ N. w* L" p0 Lline graph, 线图7 z5 W( Y" r, d! L
Linear correlation, 直线相关
- E G( S* V' q" m( QLinear equation, 线性方程
) N; _ L* S, C. ~Linear programming, 线性规划, E1 k* ^! j( u$ O
Linear regression, 直线回归
7 [- w8 R# Z* k8 v, p6 ~. k l! hLinear Regression, 线性回归8 Z! {# ]; b+ N `$ J
Linear trend, 线性趋势
* y: R' _. v- w" [! L2 m9 x4 fLoading, 载荷 4 _* @9 u$ V/ W# x5 Y$ I
Location and scale equivariance, 位置尺度同变性
( q6 ?- O5 A8 d1 B! R4 s. sLocation equivariance, 位置同变性' B0 O- B8 j7 m5 W# Q u# l) C5 |/ E$ U
Location invariance, 位置不变性
) G; G3 n; Y5 p( Q9 Z: [Location scale family, 位置尺度族
2 T# }4 r8 S( G# wLog rank test, 时序检验
( A _0 N. b% Y6 e) i$ |Logarithmic curve, 对数曲线8 ^' }0 g$ D. ?0 D/ b
Logarithmic normal distribution, 对数正态分布, @! {3 w6 o0 U% k/ V1 |
Logarithmic scale, 对数尺度$ {- N2 W9 t; q; ?& [/ h3 ^9 z
Logarithmic transformation, 对数变换
" E+ v/ P) o) ]' c, d3 ULogic check, 逻辑检查# I' B. x' D, d6 |8 d2 P
Logistic distribution, 逻辑斯特分布- N# z3 S( \0 f5 ^. P1 S
Logit transformation, Logit转换
7 B0 H4 \9 T8 pLOGLINEAR, 多维列联表通用模型 $ L; z& w1 d& G9 r1 i& D8 k
Lognormal distribution, 对数正态分布
, ^" v1 A' @# F$ N$ p* TLost function, 损失函数
( n% f: P- f! r* [ x% k% GLow correlation, 低度相关
0 k5 L1 o; ?5 d M+ n( p5 ULower limit, 下限3 Q- S( F& R6 E- P( s0 G' l5 q" g
Lowest-attained variance, 最小可达方差
3 s6 `; ]( {' Y, p1 q& H4 FLSD, 最小显著差法的简称
- r6 g/ l( L/ R+ rLurking variable, 潜在变量' H: @ I/ x. ]& @9 Z
Main effect, 主效应
# U0 T8 G* ^8 `3 RMajor heading, 主辞标目
P" r, \ L+ YMarginal density function, 边缘密度函数
: K6 O0 v% d7 A1 G2 |) E' AMarginal probability, 边缘概率
% e: o7 V: z* M% h' K8 A9 k8 f f) kMarginal probability distribution, 边缘概率分布) g6 d8 C. o" f2 V, i
Matched data, 配对资料
) @9 _$ X# L# { `Matched distribution, 匹配过分布
- Q+ C- d% Q0 o6 CMatching of distribution, 分布的匹配
7 K6 j7 U' {$ ~5 L) t: a& NMatching of transformation, 变换的匹配, N K3 k4 H5 k2 x2 Q0 @; P- p
Mathematical expectation, 数学期望
" B, T+ @- G+ p' L, k* UMathematical model, 数学模型
- _! M; m) V7 T; u2 X; AMaximum L-estimator, 极大极小L 估计量) ]) v% L& {3 o' f1 Y
Maximum likelihood method, 最大似然法& P8 A4 o, ~& n4 }" L" B( t
Mean, 均数& M- H0 u2 q) b$ V8 g
Mean squares between groups, 组间均方
6 |8 _* R, V2 _ i, CMean squares within group, 组内均方
( R( G$ j5 f A" p% @Means (Compare means), 均值-均值比较& Y& z: h! c! g% w' `/ Q
Median, 中位数3 D- |# H5 k$ o( w
Median effective dose, 半数效量
E) o# e$ B- z0 r4 b, {/ F/ y: NMedian lethal dose, 半数致死量
0 s1 z+ @+ V; o KMedian polish, 中位数平滑8 I2 x; o* P, J: o3 i/ U& m6 j7 S
Median test, 中位数检验
) P8 n% @ _4 n2 b0 t& l: TMinimal sufficient statistic, 最小充分统计量
1 P* C6 b" H, U1 Q$ |# [Minimum distance estimation, 最小距离估计0 r& U0 d# [' X i% E
Minimum effective dose, 最小有效量
9 w1 t2 l+ f/ U+ `$ f6 ^; H: ?! E$ XMinimum lethal dose, 最小致死量; f# x2 R1 x+ _
Minimum variance estimator, 最小方差估计量
8 C! W3 q! N MMINITAB, 统计软件包
$ Y- c9 a }6 _" a- R: c7 IMinor heading, 宾词标目5 @4 v' j8 t5 M/ a( R+ a4 c. i$ T: [: ]& m
Missing data, 缺失值
3 ? B: h' G6 G$ S# ?Model specification, 模型的确定
8 T1 [; L6 t3 n3 A2 U/ ]% ?Modeling Statistics , 模型统计7 }$ `: V; U, Z. f T4 u7 K
Models for outliers, 离群值模型, ~0 Y. {9 M* @% J& f3 t
Modifying the model, 模型的修正: l5 L/ \' z `; E
Modulus of continuity, 连续性模2 Y1 x' F- l9 M' v$ q+ p+ I2 R K
Morbidity, 发病率 & T7 U9 f5 r, O& e" N( p- I
Most favorable configuration, 最有利构形$ J8 @! }9 E& P9 @& t
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
* ^; ?# z5 |& S5 J- iMultinomial Logistic Regression , 多项逻辑斯蒂回归/ M4 d* j0 c6 a& Y
Multiple comparison, 多重比较' l: O/ }. @: j" x7 S
Multiple correlation , 复相关/ A1 I0 N/ }3 k, h( Q4 S% I
Multiple covariance, 多元协方差
" `7 ?; @" m2 |Multiple linear regression, 多元线性回归. ]3 Z! h1 C& ]* W0 G
Multiple response , 多重选项
2 R9 B: V7 l4 CMultiple solutions, 多解& l6 y& C! U j3 \
Multiplication theorem, 乘法定理+ V n! C k6 h! b
Multiresponse, 多元响应) d5 G( M. ^8 }5 B- K7 Z% d r
Multi-stage sampling, 多阶段抽样
8 a- d* L5 ^" ~% VMultivariate T distribution, 多元T分布
$ a2 K7 l% n( a& n2 V; f4 sMutual exclusive, 互不相容
* t k- N2 J8 p2 D+ u* jMutual independence, 互相独立* f d* e0 p3 W* {8 Q+ l2 H: G
Natural boundary, 自然边界* Y2 t4 ^ D! r
Natural dead, 自然死亡
# m9 x, e- \9 I9 `. L6 ]5 }Natural zero, 自然零8 R# z& S; w+ ?# G# T5 G
Negative correlation, 负相关
' c+ P2 f2 I4 \0 [4 u7 B: x0 gNegative linear correlation, 负线性相关
2 i2 o% Y5 T3 i( c% s; b p, eNegatively skewed, 负偏# U+ e+ B1 l6 _4 J& Q
Newman-Keuls method, q检验
# ^; M& {4 v& t- QNK method, q检验
+ K6 a& U% T! l0 VNo statistical significance, 无统计意义
- `/ y6 h; j/ T- t* iNominal variable, 名义变量/ c' M( V: b; b& I0 K5 y' A
Nonconstancy of variability, 变异的非定常性2 }4 p/ q- I+ q K' f- ^
Nonlinear regression, 非线性相关. l- |( |. \5 U
Nonparametric statistics, 非参数统计
1 x' L' j; E& h0 C7 P1 I& m8 x: cNonparametric test, 非参数检验' ~, ^" R% Q5 F
Nonparametric tests, 非参数检验
. Y3 _" a* @- P- N( s6 w) W* INormal deviate, 正态离差8 r8 M5 X' [" v
Normal distribution, 正态分布
: g, U- m5 i- c" ]9 ]Normal equation, 正规方程组4 i! j7 Z6 j3 V3 J( ]$ c
Normal ranges, 正常范围
' i( `; G) ~' y# iNormal value, 正常值
8 |- f$ t4 ?# {, j: }Nuisance parameter, 多余参数/讨厌参数: j+ Z9 [8 g9 |0 e
Null hypothesis, 无效假设
1 c. y0 U/ O: q- S, ENumerical variable, 数值变量' S/ D* I* x7 o8 J+ R
Objective function, 目标函数
, j3 T6 P ?- ]& ~* hObservation unit, 观察单位
. X* E; w( x( T* B& [4 w3 k! e/ LObserved value, 观察值
# U; E+ K: x9 K( C/ iOne sided test, 单侧检验( C) o5 y6 {7 ^5 |: s
One-way analysis of variance, 单因素方差分析
9 X6 d" J; W6 D) y5 |& |* R& ZOneway ANOVA , 单因素方差分析
: H. a6 {: o. a5 x+ mOpen sequential trial, 开放型序贯设计2 v/ Y- g8 v8 D) f" a
Optrim, 优切尾! `' l/ W+ ]( e( x) F
Optrim efficiency, 优切尾效率
, W1 D$ N2 `6 p9 @ p6 O) o6 iOrder statistics, 顺序统计量+ V, I- a7 x8 u/ n8 m0 b; |0 }
Ordered categories, 有序分类! ^: J0 ^* v- d! R, J- o% k7 q7 x
Ordinal logistic regression , 序数逻辑斯蒂回归
0 A0 `4 {; p, z% k n# N" tOrdinal variable, 有序变量
* \, Z( o7 e K" Z3 b) l4 p4 g- y, NOrthogonal basis, 正交基" D5 M: R R: ^- g: i) v: K
Orthogonal design, 正交试验设计8 n5 \* g: F2 b1 j
Orthogonality conditions, 正交条件
% d4 ~* A5 \; E. \2 g; NORTHOPLAN, 正交设计 8 w7 K a4 q! R7 ]
Outlier cutoffs, 离群值截断点8 ~; Y3 K9 v5 j
Outliers, 极端值# g/ U6 I; Q1 S6 M
OVERALS , 多组变量的非线性正规相关 . K/ i$ [3 K5 h+ X: D2 }
Overshoot, 迭代过度
+ n* t5 B3 A+ e2 TPaired design, 配对设计3 `0 E' ?2 T7 {* ]- ?" x. {) n3 J
Paired sample, 配对样本& |7 y5 X, K+ i7 Q
Pairwise slopes, 成对斜率, e0 ?( g. P: F% V2 a, S
Parabola, 抛物线
! w; @$ l# Z& V4 I+ T& I3 S& @Parallel tests, 平行试验; q R1 e% `$ v) I5 D
Parameter, 参数& B6 L K5 e: l; P- r2 H: Y
Parametric statistics, 参数统计, V- A7 O# M7 S6 L$ I/ e1 ?4 D. g3 e
Parametric test, 参数检验
& d+ d& o6 @' PPartial correlation, 偏相关3 u2 E! V; d6 L* b# g- @
Partial regression, 偏回归
, \2 E; I( W& s( t7 u1 s6 D' pPartial sorting, 偏排序
/ Y7 S4 u3 n! v& hPartials residuals, 偏残差+ Z& _0 t/ e+ a: M) ~& L
Pattern, 模式( D) h; l! @, `0 }0 p6 d
Pearson curves, 皮尔逊曲线
2 O" y' ^$ @$ j' ]3 ^ A. }Peeling, 退层4 a+ p- `. P% ]3 I; o' t+ X
Percent bar graph, 百分条形图
5 e2 |9 E' c0 z4 Q/ p sPercentage, 百分比
' ~+ C4 }) h2 [7 tPercentile, 百分位数, y" p( r# y" i0 ~
Percentile curves, 百分位曲线, s' o" d+ l& U, ^7 ?- l. {
Periodicity, 周期性$ Q6 F ^8 R9 \3 I4 S+ b* q: H" J
Permutation, 排列
( V" `4 a+ l( zP-estimator, P估计量
# t! I6 Q5 O: f5 v4 {7 |Pie graph, 饼图
5 ~3 O9 M8 D- K; f6 ]5 H$ e$ JPitman estimator, 皮特曼估计量
" k9 w$ g& A S) v# bPivot, 枢轴量
' B) K( d$ X. mPlanar, 平坦2 F: v0 a8 X0 N$ {- V/ m7 [
Planar assumption, 平面的假设6 V' b2 S- I: r0 L; x9 ?
PLANCARDS, 生成试验的计划卡+ c" g' x: W( @; y8 D* v' S
Point estimation, 点估计8 x4 W0 ?% |+ P$ M
Poisson distribution, 泊松分布
( P; f a: l& YPolishing, 平滑- f+ B+ j" Q' i
Polled standard deviation, 合并标准差; U5 t0 D3 K" u' }' n- |
Polled variance, 合并方差) c8 J& @1 V* N/ d9 n* `3 s
Polygon, 多边图
: i& S2 Y5 V1 EPolynomial, 多项式
* l0 E w% V8 h2 @; fPolynomial curve, 多项式曲线
9 j: O9 h* ]% @3 L$ B& `Population, 总体, C X- S3 {9 P. f3 v9 v
Population attributable risk, 人群归因危险度$ N0 U6 j0 A2 Z! ?
Positive correlation, 正相关
K Q2 V2 K* bPositively skewed, 正偏
) }/ _9 J% d! g' lPosterior distribution, 后验分布
: |" Z* p( m7 pPower of a test, 检验效能8 Y3 }# \$ c9 w4 x3 |
Precision, 精密度" {& f& ~3 x$ a7 a1 Y
Predicted value, 预测值
# p( G/ g9 x$ n" P6 KPreliminary analysis, 预备性分析& V+ z3 X% ?+ a/ G
Principal component analysis, 主成分分析
0 p- t1 z4 K; i& ePrior distribution, 先验分布
+ q% s; ~4 c2 m5 Q& B* F) \- TPrior probability, 先验概率
6 q* M% K. K& n9 y. n* s: \9 @Probabilistic model, 概率模型* P$ g. Z6 s4 J, T$ [! I
probability, 概率
?3 o0 [$ |0 K5 M. U) nProbability density, 概率密度
$ C* ?) Y6 A q! L( GProduct moment, 乘积矩/协方差
* g0 f/ J8 r2 j4 U5 WProfile trace, 截面迹图: R' c% T: z {% {$ w g
Proportion, 比/构成比
; U9 ] J; X/ f: X8 MProportion allocation in stratified random sampling, 按比例分层随机抽样
: |7 u% Y1 X! m) } fProportionate, 成比例! K* K9 U# [4 W, a8 P
Proportionate sub-class numbers, 成比例次级组含量
3 X1 [, ]+ R" d$ NProspective study, 前瞻性调查4 C0 V( v5 @+ x; \! j
Proximities, 亲近性
/ X/ y& j3 Z* wPseudo F test, 近似F检验0 }9 o h& |: k3 |+ Z5 t$ I6 q
Pseudo model, 近似模型
! `5 Z0 ]; O- y) E6 GPseudosigma, 伪标准差
) {0 `6 x5 p; Z, bPurposive sampling, 有目的抽样
% {' z: L. Q. K9 @8 WQR decomposition, QR分解
* i) F" C; D5 ], {1 F& AQuadratic approximation, 二次近似. Q1 a5 a2 {; Z+ {4 p0 p
Qualitative classification, 属性分类( m# j0 L5 h! u
Qualitative method, 定性方法- E7 L4 t) M0 l' Q; [" v- u
Quantile-quantile plot, 分位数-分位数图/Q-Q图 f& _- s7 Z; u" ~3 ?7 B
Quantitative analysis, 定量分析
( a' D' Q# }0 Z! G2 \: ^& Z3 Y7 WQuartile, 四分位数3 |0 _- X0 x$ D, X# t
Quick Cluster, 快速聚类. w; U% B; G6 _" j
Radix sort, 基数排序
2 v9 o7 h9 y4 ~0 QRandom allocation, 随机化分组+ e) G# k. v, U% J) r. i1 U4 @" R
Random blocks design, 随机区组设计
7 s6 I2 d9 ^: p2 X5 URandom event, 随机事件2 y' R9 N, ^/ h3 w5 l8 r7 k! R
Randomization, 随机化! c, j$ p) S1 @: s8 J
Range, 极差/全距
# k1 t" s$ E$ A8 uRank correlation, 等级相关/ Z. s y( C) o
Rank sum test, 秩和检验" s9 p; O( O; E' d
Rank test, 秩检验' x/ t* p$ o- ^* R# }
Ranked data, 等级资料. O8 R) Q2 B& ]4 o% d" g9 [0 z
Rate, 比率! b/ l. j/ Q+ l4 o, ?
Ratio, 比例
4 d4 b3 o% Z; f0 ~Raw data, 原始资料
+ [$ J- G# v2 Z1 ARaw residual, 原始残差
* J5 j0 X4 t1 xRayleigh's test, 雷氏检验
6 a j- N1 W/ X; V& K% [* t" o) JRayleigh's Z, 雷氏Z值
1 F8 p, o3 O3 D: I. G" U' aReciprocal, 倒数
/ m( [% y+ n* A) b, F4 k# _Reciprocal transformation, 倒数变换
2 `# M4 W+ A2 ~0 k- eRecording, 记录
3 _9 k; `) g5 v2 aRedescending estimators, 回降估计量
' _3 ]' ^3 e3 E9 m& s6 i( sReducing dimensions, 降维& A) v5 w% n: t
Re-expression, 重新表达
4 \& n) }" L# y. v' ~5 xReference set, 标准组
: u3 R1 P% o; @Region of acceptance, 接受域, H; T3 r. u/ z, h
Regression coefficient, 回归系数: Z) W1 ~' s4 O' Z' p3 Q) P& L
Regression sum of square, 回归平方和( N X: c2 {' {8 h* M. F
Rejection point, 拒绝点: B! k% d) s1 Z V' N+ K$ O" ?! _
Relative dispersion, 相对离散度
& U! `7 l# Y2 n2 nRelative number, 相对数( ~/ T& V' b W& H
Reliability, 可靠性
1 [) Q$ e5 C d- x0 _Reparametrization, 重新设置参数
8 a5 Z2 H& g4 S# L" V" mReplication, 重复
) e- H6 b9 P. N3 d5 \4 d% Z+ c/ vReport Summaries, 报告摘要
6 S0 ^/ y6 w1 Q9 g: P3 A2 o) g; f; HResidual sum of square, 剩余平方和
2 J9 J; r$ ?- S p. C, \# DResistance, 耐抗性
6 v6 P+ @1 s& Q6 R) XResistant line, 耐抗线
9 g- a3 P& F/ W7 h; n' }5 d& Q vResistant technique, 耐抗技术$ o! i. t8 \ Z. u
R-estimator of location, 位置R估计量2 q% Y( x* Q: y- o4 ^2 i
R-estimator of scale, 尺度R估计量9 H, q* V J0 i" G% L: @8 [
Retrospective study, 回顾性调查% L$ ~; b2 l0 ~7 ?" z+ Z) s
Ridge trace, 岭迹, c; ^ a! `+ z( m* u/ D- H6 D
Ridit analysis, Ridit分析
. S/ A1 t' a4 fRotation, 旋转
* w0 O2 c ?! [( a jRounding, 舍入3 x U* ^2 ?- w8 o
Row, 行, D8 U& [. G2 n4 L0 | D
Row effects, 行效应 c2 ?# J4 e6 Y1 H1 ]4 I u3 H
Row factor, 行因素
' E/ s; J5 y! E: RRXC table, RXC表4 B7 x: i* {& u- W. A6 {& U5 a" l0 e) s
Sample, 样本
% s+ N* x: l3 b8 o; S7 pSample regression coefficient, 样本回归系数' T0 z3 y& P9 Y* N+ s) Q4 H3 s
Sample size, 样本量 H; \) r) l/ j1 v! S$ j! V5 w
Sample standard deviation, 样本标准差! s4 x9 Y- |1 p; G4 H% N! a$ l: f/ e
Sampling error, 抽样误差+ u4 M p+ _6 @: J8 G7 Z% m7 p
SAS(Statistical analysis system ), SAS统计软件包; } L* p( j% ^
Scale, 尺度/量表
1 D) v i0 v3 ^& p# eScatter diagram, 散点图
; P) x& b7 K- ^! o" q+ HSchematic plot, 示意图/简图
8 g4 K- t3 C6 z. E2 G% bScore test, 计分检验
1 m% A" x" g' L9 ]Screening, 筛检: {' K9 p$ k6 z4 F) l5 j+ J
SEASON, 季节分析 : ` W w" Q% K, M
Second derivative, 二阶导数) ^3 T" |( D6 T, X2 @) p0 v
Second principal component, 第二主成分+ F0 w6 I2 [5 C. j3 g- y
SEM (Structural equation modeling), 结构化方程模型
) e6 A0 i5 s+ x* \: ZSemi-logarithmic graph, 半对数图- Y3 s- U# m9 _9 s) Q
Semi-logarithmic paper, 半对数格纸
6 ]; J0 y# i2 r7 d" k* ESensitivity curve, 敏感度曲线3 }+ }% I2 s( ^5 z
Sequential analysis, 贯序分析5 i; y( Z# ~+ n4 L; t
Sequential data set, 顺序数据集" k- Z+ q0 g0 N2 R" e
Sequential design, 贯序设计; P' j7 z5 h+ r; w; t4 X. d
Sequential method, 贯序法
" s; u! d9 Q, r9 V( V9 NSequential test, 贯序检验法
6 U9 n! E4 T. W6 F4 O3 }3 ]6 P8 z4 cSerial tests, 系列试验
: ?+ S1 _, \9 w1 N( b `Short-cut method, 简捷法 3 F7 d* v4 m; E% D* f3 z9 Q) o F! o
Sigmoid curve, S形曲线
* _) m5 Q5 w& N3 M9 E, B) O4 r$ ISign function, 正负号函数! U( F, R3 i9 N4 B" C
Sign test, 符号检验
" ^; u& C; ?; S. xSigned rank, 符号秩
) H% _- G: s: ]% _& _Significance test, 显著性检验8 ^) c5 V8 J* m/ m
Significant figure, 有效数字
3 O# F: I, q5 P- gSimple cluster sampling, 简单整群抽样* _% a5 |! t T5 @& g
Simple correlation, 简单相关
/ |2 } S7 b7 H1 `! q: z& cSimple random sampling, 简单随机抽样
7 O7 x3 o7 _4 P0 jSimple regression, 简单回归
4 C( Z* p. ^1 A) Z% ?, csimple table, 简单表
/ H8 d9 F2 }8 YSine estimator, 正弦估计量
7 j Y* J8 h2 g; U8 E6 W4 W$ o4 XSingle-valued estimate, 单值估计
3 ^ h. k3 G' r# GSingular matrix, 奇异矩阵
2 Q# h' Y- E" V2 p3 vSkewed distribution, 偏斜分布. e4 H- O! k7 _) r8 k2 x
Skewness, 偏度
. k; ?" z0 d* t3 GSlash distribution, 斜线分布: S8 |4 N4 P/ G; A
Slope, 斜率
; v6 U/ Z. Y5 LSmirnov test, 斯米尔诺夫检验$ E& S, Y6 P$ E! S' \6 u) r
Source of variation, 变异来源! r8 |, b+ W X, t. q
Spearman rank correlation, 斯皮尔曼等级相关$ @/ W$ h# o! Q8 V% a5 a
Specific factor, 特殊因子5 c/ H; x2 N; M# r1 w
Specific factor variance, 特殊因子方差
% M% u9 f6 C) M! _3 j. V, P: RSpectra , 频谱/ G6 j# U7 ?, @9 t. w; i
Spherical distribution, 球型正态分布
1 | P9 X( ]) FSpread, 展布
1 R3 k2 |+ j7 _- Z+ Y$ lSPSS(Statistical package for the social science), SPSS统计软件包
/ e9 i* g6 e2 Z" t% E( QSpurious correlation, 假性相关1 @+ ?7 }3 w' q( M$ W w
Square root transformation, 平方根变换
2 K4 Z. \1 Z: G. K& nStabilizing variance, 稳定方差8 f3 y7 y$ o- V. u2 H
Standard deviation, 标准差, i" r7 A1 P+ i+ g9 x7 M( ~
Standard error, 标准误, o0 E( U. d5 B5 s& b
Standard error of difference, 差别的标准误
J+ O' C# s9 x- R* U/ X( [Standard error of estimate, 标准估计误差
, u* x7 Q+ k: ~8 @, U+ DStandard error of rate, 率的标准误; {& D% D2 t$ d% D; X2 s
Standard normal distribution, 标准正态分布: L2 P4 {+ [/ T# `) E0 K
Standardization, 标准化0 v: W* {/ ]2 b2 ]% l2 a5 l& @
Starting value, 起始值
1 F. e' ]8 O; cStatistic, 统计量6 P0 M2 s$ Z N
Statistical control, 统计控制
# o! R5 F) J7 [ z# C: r) w) RStatistical graph, 统计图+ ?. k* V) F! e4 u+ Y
Statistical inference, 统计推断2 |$ s) P6 x" T
Statistical table, 统计表
9 h5 v; O7 H" g- y+ n0 }, kSteepest descent, 最速下降法
f7 A& N+ L5 i- jStem and leaf display, 茎叶图( z6 j& m, [: L7 P: l0 l
Step factor, 步长因子- z" [) H' r* f$ I/ w4 D
Stepwise regression, 逐步回归- y; c% b5 ?) U- `- U
Storage, 存% M/ @2 y! Y5 n$ t" ^
Strata, 层(复数)
) ^% Z# T! }/ k% m( bStratified sampling, 分层抽样
9 B; _+ b9 c, P4 XStratified sampling, 分层抽样
5 `6 ~$ C) \7 b0 SStrength, 强度
/ T3 O+ x9 B. S' ]' @: K+ z2 \Stringency, 严密性
( H' m) f2 S2 V# JStructural relationship, 结构关系% c/ q0 X8 y0 A8 y4 {. i' \- z& s
Studentized residual, 学生化残差/t化残差 _% n& S4 k8 }6 e( L( }# f
Sub-class numbers, 次级组含量- x. x, R& S: z& T4 d7 k& p+ `# U* q9 c0 E
Subdividing, 分割
$ a. \) V. J3 a5 C+ P9 cSufficient statistic, 充分统计量: z: _; z/ I3 p; d8 B% y
Sum of products, 积和 M! x) K! j2 f
Sum of squares, 离差平方和
- c# p; o& s7 w4 Q5 {% xSum of squares about regression, 回归平方和4 O% ^ ^% E9 `+ R$ ?! l, O: Z9 O
Sum of squares between groups, 组间平方和+ F. }6 ]6 S. |2 Y! H; B
Sum of squares of partial regression, 偏回归平方和
' t# T# I! T3 _Sure event, 必然事件
; q& n7 T6 M3 J. k6 E% o9 PSurvey, 调查
7 b2 ]' p7 l; B% wSurvival, 生存分析6 P8 Y* o9 f+ t* B: p* P
Survival rate, 生存率
: c Z5 G9 h) bSuspended root gram, 悬吊根图/ p0 q9 T0 U/ M4 y. m2 U o
Symmetry, 对称
[! d8 ]5 D/ Q9 iSystematic error, 系统误差
6 Q) }1 }; A% m4 i7 GSystematic sampling, 系统抽样
2 g/ {! K5 z' j8 {$ [$ ]. |Tags, 标签( N6 K3 P6 d( o- Q3 q
Tail area, 尾部面积
9 N/ t$ @7 A$ S% y/ L6 S; O* I! t OTail length, 尾长
" c. N0 C, s( }, }4 e1 wTail weight, 尾重+ ], z2 Z% B$ ~! v' @/ R
Tangent line, 切线
/ @- [, {- s! T/ d, CTarget distribution, 目标分布
( H; g3 s6 O5 G8 Q; G" l: qTaylor series, 泰勒级数
1 V: B, d. b+ }. s4 f7 @Tendency of dispersion, 离散趋势& G6 b$ f4 V; [8 I
Testing of hypotheses, 假设检验
3 T' O" y! u9 f+ A* f3 O* XTheoretical frequency, 理论频数
! V& h S+ F. Y, j: K3 GTime series, 时间序列
# S4 w& @0 Q) ?/ K2 a+ c3 x8 g+ VTolerance interval, 容忍区间: N B# W2 ~$ E0 q5 L2 Z% `1 ~
Tolerance lower limit, 容忍下限
1 K& J" a& N* F' YTolerance upper limit, 容忍上限, q& |( m2 }9 V
Torsion, 扰率9 G9 j1 F9 o G! V
Total sum of square, 总平方和
/ p+ u, `$ r; q+ a$ a8 n B2 DTotal variation, 总变异) Q. h6 X$ {1 {1 b# r: N
Transformation, 转换
. u* d/ E( \! Z5 w# ATreatment, 处理; J3 R, s3 H, k' C \" R
Trend, 趋势
0 @' q" s, N+ [+ { Q$ m8 sTrend of percentage, 百分比趋势- [' D. P( E* _: d# v6 G
Trial, 试验
6 k# @# k2 i& U7 Z% B( p, gTrial and error method, 试错法
4 @5 n8 h3 j; S1 q' UTuning constant, 细调常数
( h7 g) W1 b5 V( lTwo sided test, 双向检验2 x" S5 \' R( o0 v2 C
Two-stage least squares, 二阶最小平方
6 ]5 N$ C# E+ R3 l7 S: T3 a( i& lTwo-stage sampling, 二阶段抽样
" b! o6 c+ ]( x7 aTwo-tailed test, 双侧检验, u3 G; `- ^, [: |
Two-way analysis of variance, 双因素方差分析* q* A6 i" C" M/ Y: j
Two-way table, 双向表( Q3 ?. {; O; h0 O! T
Type I error, 一类错误/α错误6 N. p( u% K6 U) h5 B: Y
Type II error, 二类错误/β错误1 g% R s# T0 v
UMVU, 方差一致最小无偏估计简称8 ]8 _' d5 P/ P9 }6 i( i K
Unbiased estimate, 无偏估计
8 p4 H" M b0 p$ ^! @; a" V- Z. FUnconstrained nonlinear regression , 无约束非线性回归
" b0 ~( a: i( OUnequal subclass number, 不等次级组含量
% @" L4 [; ^5 i) @( D5 PUngrouped data, 不分组资料
; x3 z* T2 |! ^ }Uniform coordinate, 均匀坐标/ N1 t1 z/ u: i) s
Uniform distribution, 均匀分布3 I& c! G( q5 G! n+ {4 Q4 i P
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
$ }9 I" j0 |) Q5 K; {) SUnit, 单元! M* `+ E* V1 X- j8 K; D
Unordered categories, 无序分类! i6 V! F/ P' h( R2 W
Upper limit, 上限
# _8 @& m7 g* |4 b! BUpward rank, 升秩
H7 Z' V- s/ m7 z! t |* tVague concept, 模糊概念5 ~5 J! f& j1 O$ A, h7 y$ h# s
Validity, 有效性
/ O3 ~4 U& f9 d+ T! BVARCOMP (Variance component estimation), 方差元素估计
$ I; N2 P4 ?( p3 XVariability, 变异性9 Z. t6 j& |( Z- e; A
Variable, 变量' z, q* z* \ ]: W" t6 e0 G
Variance, 方差8 c6 m% y: l+ P
Variation, 变异
6 V' \5 D2 h* Z8 C9 RVarimax orthogonal rotation, 方差最大正交旋转8 Y u+ k( [) `% g0 d3 C( i
Volume of distribution, 容积6 L8 ^8 i& U4 p* M
W test, W检验
$ J# o' q1 k, {# SWeibull distribution, 威布尔分布5 P; Q8 _/ v3 s) c' O/ N
Weight, 权数
: I) U. n1 O e kWeighted Chi-square test, 加权卡方检验/Cochran检验
+ {! h4 k4 P6 Z* e6 D! d6 |Weighted linear regression method, 加权直线回归2 B" L$ p8 S' o1 U6 {
Weighted mean, 加权平均数
! @3 M5 l1 P0 w5 f; ZWeighted mean square, 加权平均方差1 y+ @* T/ ?5 y0 o- K
Weighted sum of square, 加权平方和 G4 \4 I+ x' r/ `, x1 P
Weighting coefficient, 权重系数
. |& R5 ]0 o6 M; h. ^Weighting method, 加权法
% d. |1 F, a2 C! LW-estimation, W估计量
' `6 L/ J' R7 ^3 q+ Q9 D5 oW-estimation of location, 位置W估计量
, { e0 N& y) g8 T' o& ~6 {Width, 宽度+ |: R7 [2 W- ]" D% F& w8 B& N0 I
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
- ]& \) G0 _3 i6 MWild point, 野点/狂点% S8 {9 S' O+ }
Wild value, 野值/狂值
2 T, v% \" P; e- ^$ j( o0 \& dWinsorized mean, 缩尾均值$ C; x$ S0 [/ ^1 Y" a
Withdraw, 失访
% S8 O* Z6 m6 A3 |3 _) d" M; YYouden's index, 尤登指数
3 u7 q. _" V5 AZ test, Z检验
" ~- b! @7 j1 h. A" [. sZero correlation, 零相关
$ f7 ?3 m/ _; {* M {Z-transformation, Z变换 |
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