|
|
Absolute deviation, 绝对离差# {9 C$ ^1 ?; S+ W' d
Absolute number, 绝对数
2 Z* @$ I& ]. e4 z8 R- e: U" o! R( LAbsolute residuals, 绝对残差
+ s4 t2 A. `5 j. \/ mAcceleration array, 加速度立体阵
) i( P5 P' r7 P' y$ X2 uAcceleration in an arbitrary direction, 任意方向上的加速度
' O6 |3 O7 {6 K' t% \* LAcceleration normal, 法向加速度
3 ]9 ~2 N8 f' b9 V) S) bAcceleration space dimension, 加速度空间的维数" r4 ~6 H, n& |4 f3 B# U2 D0 E
Acceleration tangential, 切向加速度
" c, N+ g: H7 [5 K8 [9 @8 k, T9 LAcceleration vector, 加速度向量
: ^2 z( ]1 L4 s) F$ ^" O' ?Acceptable hypothesis, 可接受假设
: T. {1 Y: L0 A/ `Accumulation, 累积
1 k/ Z2 K6 L1 `Accuracy, 准确度
% v4 C; v0 S8 K1 [Actual frequency, 实际频数6 d9 o6 W* Z0 k) m" u- X* G9 X
Adaptive estimator, 自适应估计量* J4 a D# U: t" C5 p9 H5 X; J9 S1 f; D
Addition, 相加
j9 H6 h2 J, h, N5 x/ [* c$ BAddition theorem, 加法定理
( r4 c* `# u+ i' p$ PAdditivity, 可加性2 H c! l2 r; \# k& L
Adjusted rate, 调整率0 [8 i8 h$ ~' S/ ~# k7 k% {
Adjusted value, 校正值- h- P2 }/ S }. }( x$ F
Admissible error, 容许误差
6 X% S4 ?- a Y/ CAggregation, 聚集性1 w0 p( J2 |6 z' X' p7 I8 W2 `
Alternative hypothesis, 备择假设
/ `# Q, i& c S' `2 R* Y3 {Among groups, 组间
1 I5 |, q7 m$ J. [8 r* yAmounts, 总量3 ~; } e; R# n. o
Analysis of correlation, 相关分析( _% h' q. `1 G- i( B/ v
Analysis of covariance, 协方差分析
3 J% g0 G- F6 O9 |9 e* T$ N9 ]7 GAnalysis of regression, 回归分析, d# g2 S8 p1 `% |3 Z# F
Analysis of time series, 时间序列分析- v, {& K' d; |
Analysis of variance, 方差分析
0 r+ k5 r! P* Q% a' ]' oAngular transformation, 角转换- F# ]% l. P+ W% [ r9 m( x
ANOVA （analysis of variance）, 方差分析
; b9 H& k$ p- U NANOVA Models, 方差分析模型
5 e% P: Q+ V, t& l: {Arcing, 弧/弧旋5 x$ @) m2 j1 ^
Arcsine transformation, 反正弦变换
* N) D5 W/ u ]' m/ ~, s. wArea under the curve, 曲线面积
$ s1 c$ ~6 C; N# E1 }. A& l2 ZAREG , 评估从一个时间点到下一个时间点回归相关时的误差
; @4 D. S) K+ }ARIMA, 季节和非季节性单变量模型的极大似然估计 * y+ V( @8 K( O+ b
Arithmetic grid paper, 算术格纸
8 d0 w+ I8 Q. \* `; u6 P5 HArithmetic mean, 算术平均数1 h7 }$ B! o2 u) R' `
Arrhenius relation, 艾恩尼斯关系# @1 x0 n3 K" V2 U; F# ]
Assessing fit, 拟合的评估
1 U7 D& H7 [8 S6 u) `2 y0 RAssociative laws, 结合律0 x2 l* P+ i8 J5 g# O9 p
Asymmetric distribution, 非对称分布6 t' ~0 t" Y) ?; q0 f
Asymptotic bias, 渐近偏倚* E' W. i) c2 T* U4 J
Asymptotic efficiency, 渐近效率* f# s& A1 H$ `! Q$ S* G
Asymptotic variance, 渐近方差1 [5 }7 g7 K. G0 G f! _5 F
Attributable risk, 归因危险度$ X7 z! D. a3 h6 ]; L
Attribute data, 属性资料
: |( H6 e% Z1 o5 R/ x! kAttribution, 属性
, ]. j& E4 J, d1 T$ j8 ?5 ?Autocorrelation, 自相关
& |: k2 F4 s0 m; j( |2 G6 rAutocorrelation of residuals, 残差的自相关 X* \# E8 M( m7 G
Average, 平均数
/ y" p' S, y# l) l" p4 aAverage confidence interval length, 平均置信区间长度
0 L z2 e0 V( Q3 w. R; Z. lAverage growth rate, 平均增长率
K& z- t1 F4 g2 h3 MBar chart, 条形图
$ c# g v" d; ?2 QBar graph, 条形图6 z1 f% v2 U* O
Base period, 基期! w4 f( s; U' L7 r6 x( C
Bayes' theorem , Bayes定理
4 X: ^, h$ g& yBell-shaped curve, 钟形曲线
; D7 R8 f! u5 s. ?Bernoulli distribution, 伯努力分布
3 i3 p$ O+ |/ k/ Z1 [: I, NBest-trim estimator, 最好切尾估计量
1 `+ G1 ]! c/ s h3 gBias, 偏性+ I& ~- X4 p* _
Binary logistic regression, 二元逻辑斯蒂回归
& K+ ?5 G: F5 t) A$ F1 E* t9 jBinomial distribution, 二项分布
0 P8 d" x' `2 nBisquare, 双平方* a' ?# G; A+ Z* H ?7 c: j8 P
Bivariate Correlate, 二变量相关2 _" a9 V! C i0 m& v
Bivariate normal distribution, 双变量正态分布/ j# }. a2 L: l4 Y( v! Q: |$ x# x9 n
Bivariate normal population, 双变量正态总体: q/ C7 {1 M+ U5 B7 t) ^
Biweight interval, 双权区间$ y( W8 p0 N7 K* Z2 u6 E7 g
Biweight M-estimator, 双权M估计量
& x( W5 U4 T8 I2 Q0 S2 dBlock, 区组/配伍组
( M, b/ F# t, E+ L* ]2 a; m4 h7 yBMDP(Biomedical computer programs), BMDP统计软件包# }* H, i/ @0 H; H( q4 F ^+ i
Boxplots, 箱线图/箱尾图
+ P" R& f q2 |# U5 z ZBreakdown bound, 崩溃界/崩溃点' ]% l+ H! T' x: h' u
Canonical correlation, 典型相关2 C; W6 [% J3 X+ d" {
Caption, 纵标目! ^2 m8 H+ y. C. P: Q, U. Z% S" ]
Case-control study, 病例对照研究
' b1 C. L3 Z, ?1 J, ^Categorical variable, 分类变量: x0 C, j" Y8 \ E( e8 J" M; e
Catenary, 悬链线
% `0 }/ A: @8 n" D0 M% e& cCauchy distribution, 柯西分布
! g5 P* \+ j5 I, a$ E* oCause-and-effect relationship, 因果关系
1 ^+ A/ n! L- p2 _" k9 ?8 m, XCell, 单元
; l$ K) B! F L5 j* b( ]( ~Censoring, 终检' M& ?+ p8 Y& j: @9 Q
Center of symmetry, 对称中心
9 ^- ^# L$ v7 lCentering and scaling, 中心化和定标
5 k. ]' x9 ?% `' o( ECentral tendency, 集中趋势+ _# I7 A/ m# K9 s) e4 X" l/ z
Central value, 中心值" o5 J% U/ I; _
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测3 ]. {& B& c! ]6 \: X
Chance, 机遇* H" ]9 t+ S" |; J; r
Chance error, 随机误差, z+ J( W) S9 \! N/ x/ r0 X
Chance variable, 随机变量
0 N8 d3 s& r0 P, iCharacteristic equation, 特征方程# z6 H5 y5 ^- U- p! m' `) E
Characteristic root, 特征根
# ]8 [- {. [0 n; a" c8 |% {Characteristic vector, 特征向量5 s# Z: ]. Y/ z8 I# {- x
Chebshev criterion of fit, 拟合的切比雪夫准则
( D, b# }$ g) ~3 R7 p2 b f. V3 `Chernoff faces, 切尔诺夫脸谱图2 O9 p9 T' ^* X) U8 q
Chi-square test, 卡方检验/χ2检验5 ]/ h- q) s) S a+ n5 E) F. Q, p
Choleskey decomposition, 乔洛斯基分解
$ z/ {$ q' {3 R- a* y, `Circle chart, 圆图
- }2 b/ S1 w, }% B$ U5 N, K* vClass interval, 组距* D# M- E+ X+ x2 X
Class mid-value, 组中值
9 w% N! Y* n+ W# E6 hClass upper limit, 组上限
, O2 n' U V6 d% hClassified variable, 分类变量
( Z) B( }- Z# ~) K5 \7 _7 m* SCluster analysis, 聚类分析) F1 Y4 Q3 k& q& ~% b
Cluster sampling, 整群抽样* m0 v9 B& R% S1 z6 F
Code, 代码
6 d& | \2 X. r) t, g7 Q+ hCoded data, 编码数据% z( _) \- z3 f' g- _6 n
Coding, 编码
( L7 Q5 `/ D' s/ J0 s- p1 f" qCoefficient of contingency, 列联系数) R& b/ f5 B9 K1 w
Coefficient of determination, 决定系数 w4 w$ _, W5 @, R! c
Coefficient of multiple correlation, 多重相关系数 `% O! l$ K3 Z ^, u1 y& T$ E
Coefficient of partial correlation, 偏相关系数" r0 F4 _% t* F! T Y& y
Coefficient of production-moment correlation, 积差相关系数5 r: m2 h1 Q; F6 R- M
Coefficient of rank correlation, 等级相关系数' n5 M5 P/ F/ u B
Coefficient of regression, 回归系数6 ^1 n2 j& L, |' N: X i0 U
Coefficient of skewness, 偏度系数
6 s5 U- a* w1 T. E6 z2 w9 W. E7 zCoefficient of variation, 变异系数
+ ?8 y% F# `, zCohort study, 队列研究8 L4 Z" i- I3 N" i. T
Column, 列 v2 A% b- _$ o% r# l
Column effect, 列效应
( X+ t) z) y9 j$ k& X. [# HColumn factor, 列因素- W" D |! ~; i
Combination pool, 合并
: u+ z _- F% p$ G3 ]Combinative table, 组合表' {* m" u( W h% n# ~
Common factor, 共性因子
9 I! c8 f: x% a- T" uCommon regression coefficient, 公共回归系数+ K0 N$ s! k2 W) B" K
Common value, 共同值1 ]9 A P5 Z) V& U' }! v/ @! C n
Common variance, 公共方差
& e2 q* w1 D) y! k& T. ?$ D) m7 _3 YCommon variation, 公共变异# B% Y4 `! `2 h3 W- c B
Communality variance, 共性方差
, a( Z- K& M( R. E8 J- S$ hComparability, 可比性" q0 K8 H7 f" M
Comparison of bathes, 批比较
: N$ C7 g9 F% M4 j; nComparison value, 比较值& F- C- T# ]7 f) v* x* k* b# s
Compartment model, 分部模型
, A" T1 V6 S8 q. X gCompassion, 伸缩" q1 o2 v) \. n
Complement of an event, 补事件
& U3 R g- D$ x0 C0 M! bComplete association, 完全正相关8 ?' p! f; H/ o; s9 y; O
Complete dissociation, 完全不相关: P+ O$ d, S2 s# G6 s- L
Complete statistics, 完备统计量
% \4 L2 q Q. O; J( ~0 \1 ZCompletely randomized design, 完全随机化设计
6 q- p" |: g% h& ZComposite event, 联合事件
% [4 f* J) O5 V* }9 a7 j, L5 K; XComposite events, 复合事件
/ l) X# J6 W0 w% P' ~Concavity, 凹性# q2 [: V$ k, G
Conditional expectation, 条件期望% x% ^" u7 S- }1 Q: s: D
Conditional likelihood, 条件似然
9 b: E U( e5 c& H! R! T$ l- BConditional probability, 条件概率# C* E: d4 U% _
Conditionally linear, 依条件线性
+ A. P- e: u1 W/ i$ q1 Q+ hConfidence interval, 置信区间; ?2 @( y$ U- i, T+ ~/ h2 w
Confidence limit, 置信限) q ]! v( b) @0 S5 `5 o% Z
Confidence lower limit, 置信下限
' c! c) L; D, r9 ?8 aConfidence upper limit, 置信上限
$ I `, q# b3 p6 {- f7 K- q9 P7 gConfirmatory Factor Analysis , 验证性因子分析( ~* P6 ~7 r1 n( [# K4 I
Confirmatory research, 证实性实验研究- I( v+ J; a8 V* S5 P+ l
Confounding factor, 混杂因素
j( w8 K1 d1 F: ?' Y# R& ]Conjoint, 联合分析
( o7 B6 ]) y6 l" j" \Consistency, 相合性
4 x5 f( ~6 z5 b- lConsistency check, 一致性检验
; K$ y0 f. n J' k* UConsistent asymptotically normal estimate, 相合渐近正态估计* z) l5 m& L# I7 n
Consistent estimate, 相合估计
! R1 \0 x/ V3 w$ j! oConstrained nonlinear regression, 受约束非线性回归
9 G* Z( f) J! E4 vConstraint, 约束
9 Q: F4 Y. z6 j4 ]% q+ dContaminated distribution, 污染分布
4 e& e3 J5 H9 `1 e4 n, O, {+ O" iContaminated Gausssian, 污染高斯分布, [( C9 u/ j: F" m3 E" S! @, E
Contaminated normal distribution, 污染正态分布
7 t* ~/ v' J { [Contamination, 污染1 P& T/ e" _; @/ m3 j$ \: b
Contamination model, 污染模型6 X2 ]" N1 U5 t" h
Contingency table, 列联表
$ {8 _. U0 F7 w& A0 U0 SContour, 边界线
8 l4 m+ y1 I( L* z: AContribution rate, 贡献率
5 Q+ _. }3 Q# u3 g' p6 m3 p$ PControl, 对照
- t8 S4 u5 X+ A2 v% m+ f qControlled experiments, 对照实验" P$ o! U, B$ F; R7 C8 z$ Y
Conventional depth, 常规深度 V1 L/ N% N( o, t7 J$ a* ^6 w
Convolution, 卷积) D l7 |( _# p& n6 P; E
Corrected factor, 校正因子
! w9 K4 p: Z- D% Y* b! |Corrected mean, 校正均值
; f; ~; j4 V$ q2 t' {3 B2 rCorrection coefficient, 校正系数
r; ~/ a1 C/ e. m1 p/ TCorrectness, 正确性
( ?& N% v/ N e/ F9 \& [Correlation coefficient, 相关系数2 f' v+ j9 V: l& l4 ?0 k+ @ i7 h' a
Correlation index, 相关指数
5 s X0 M+ H7 _9 K# i0 \* hCorrespondence, 对应6 \/ A! U9 b- W& X
Counting, 计数" M( x' I: ]# Y& K* q* Z" ^9 y
Counts, 计数/频数; v+ p( C/ a1 M* u$ S3 j
Covariance, 协方差$ H- \. x1 N/ X* P& O4 t
Covariant, 共变 # t1 \7 F3 q) _
Cox Regression, Cox回归
' r. G- I( a9 ~7 H* i+ n# |/ ~Criteria for fitting, 拟合准则* C2 q, [1 F; {& b) z j* {" I$ ?
Criteria of least squares, 最小二乘准则9 \' J, {, G& J3 z) Q4 G
Critical ratio, 临界比, L7 e% @% n: l
Critical region, 拒绝域
( C. [8 T0 y7 }Critical value, 临界值& X( P \" W9 }
Cross-over design, 交叉设计( _) y3 k- W9 H$ F X# r3 Q3 d
Cross-section analysis, 横断面分析
$ f; z3 v* g; F+ K4 n6 ^Cross-section survey, 横断面调查! @. Y' c M) C1 F4 N9 k# H) _
Crosstabs , 交叉表 - _2 s6 N( _9 O- t0 h T
Cross-tabulation table, 复合表
0 c8 X0 G5 O2 P c; A: O% aCube root, 立方根
" x' m. k9 E$ p$ d, ]3 c3 SCumulative distribution function, 分布函数' u5 O; X9 {$ o. j- c
Cumulative probability, 累计概率
7 H W- O5 O7 I7 E$ e J# A) [Curvature, 曲率/弯曲- j2 U9 l1 w2 g, W7 u
Curvature, 曲率0 O+ {( E( L, y
Curve fit , 曲线拟和 3 ~, ^) s! i5 Z2 A
Curve fitting, 曲线拟合% i* O, Y% L/ c) Q3 s
Curvilinear regression, 曲线回归
T% R" x* t. f, T1 F! O- T t' @Curvilinear relation, 曲线关系" ]* P4 K: E& o2 g, W
Cut-and-try method, 尝试法7 \4 r. t- ^& d. V1 t1 ?3 r
Cycle, 周期
6 q3 G% R ~ W( Z8 r2 dCyclist, 周期性
: @0 i8 Q# Z+ } UD test, D检验
3 |1 v1 s( ^3 z" z4 dData acquisition, 资料收集; F" [7 Z! W C/ Z1 u: G/ a
Data bank, 数据库
7 H6 ^% E! M% b) H k5 Y0 oData capacity, 数据容量: y O8 Q9 f! [: L5 Q* P, k
Data deficiencies, 数据缺乏
0 m; g0 d! G! G. nData handling, 数据处理1 n/ S7 j; C, s% ^- }4 s# s/ N$ B1 v
Data manipulation, 数据处理
, h2 s/ H8 R. w* B" wData processing, 数据处理. M5 Z4 p/ y- [/ G: w. X2 e2 b# F# N3 o
Data reduction, 数据缩减: w% O/ [. ^- v
Data set, 数据集
: m3 O W( {* LData sources, 数据来源
$ G2 P1 G* w) B1 ^) qData transformation, 数据变换
( p1 R8 Q; b8 k3 \Data validity, 数据有效性
3 `! H1 x. R1 o' ]Data-in, 数据输入
6 Q. N6 v2 r, p$ ]3 bData-out, 数据输出
6 q% u r+ H8 Q/ ?8 M, XDead time, 停滞期
$ k/ j+ W7 k( I/ R. b- |Degree of freedom, 自由度' o3 E4 P2 R' f! r0 Y4 x: v* E" P
Degree of precision, 精密度3 K8 n7 X% n8 Q6 c- u O! `) T
Degree of reliability, 可靠性程度& R1 r4 O3 w* v3 {& [
Degression, 递减
* U) ~ f0 R# P2 `. cDensity function, 密度函数
9 Q5 O* W0 ]! [& d- t; fDensity of data points, 数据点的密度
+ n' \+ _* O0 l- n; W! a. SDependent variable, 应变量/依变量/因变量8 u4 E8 c- I1 Q9 X- I1 v g. y
Dependent variable, 因变量
+ O& d& e- |+ h3 xDepth, 深度
0 w. O, y" u3 _5 Y; a7 |0 IDerivative matrix, 导数矩阵
Q9 V( G& `4 ?- }. H* QDerivative-free methods, 无导数方法" _9 P1 D9 |" W' M# [5 Y7 ~
Design, 设计
# m$ s: `0 q$ t% kDeterminacy, 确定性9 l# K( v& l( Z
Determinant, 行列式
( f( `: W8 u9 S' i2 l/ J; qDeterminant, 决定因素
- F" Z1 R- O/ K+ ^. a4 pDeviation, 离差( z# k* ]( F1 Q! V; q
Deviation from average, 离均差, { W1 i2 d: U0 Z& H a; ~. \
Diagnostic plot, 诊断图
G. w: F( O$ ^Dichotomous variable, 二分变量
# x/ h' H) e7 x4 e8 K* PDifferential equation, 微分方程
% O }2 c5 _ D0 O, L" |/ M' vDirect standardization, 直接标准化法
! z: z5 a' f5 f0 n0 iDiscrete variable, 离散型变量 L. K- y0 ^5 `7 N4 Y6 ?3 E# v" h
DISCRIMINANT, 判断 ! K; K* R, k6 h8 h* f( Q) d) a i+ `
Discriminant analysis, 判别分析
8 j8 e. v/ G& H3 V9 PDiscriminant coefficient, 判别系数0 P1 s+ h# h5 Y9 R( v7 e
Discriminant function, 判别值
: c4 O7 i3 [9 O* p- i% [0 y2 ]& i* `Dispersion, 散布/分散度9 B% C: S5 s3 _' ?0 X' D
Disproportional, 不成比例的
+ L( G4 h" n5 }$ d% IDisproportionate sub-class numbers, 不成比例次级组含量6 r5 s7 `- J/ N2 S% x/ B( \7 d
Distribution free, 分布无关性/免分布+ O* W* G* t" F& U- ~4 E7 D
Distribution shape, 分布形状
; x' d7 o; U7 j' P5 ?Distribution-free method, 任意分布法. U8 \3 f ?: Y' h- h$ \
Distributive laws, 分配律. q( W6 _4 _1 U- c$ n g
Disturbance, 随机扰动项
1 U' j# M8 d9 c' r% [Dose response curve, 剂量反应曲线
% V) q, E. e6 T2 G. a% LDouble blind method, 双盲法7 a) A- @+ [% }- x2 `- |, Q$ i
Double blind trial, 双盲试验6 l1 ~3 ?+ W0 A' Z2 O9 T. r
Double exponential distribution, 双指数分布1 r6 [ O" J( T: i' T+ T9 M- q4 z
Double logarithmic, 双对数. ] Z9 r, Q U9 b' o Z1 A3 ^
Downward rank, 降秩; p: m2 I, H: v% f! I
Dual-space plot, 对偶空间图
8 }" r5 n2 k0 a* E( g/ gDUD, 无导数方法3 K8 W3 o- r( T# x( D" E
Duncan's new multiple range method, 新复极差法/Duncan新法
6 G. H0 [# f4 p6 oEffect, 实验效应# j8 m$ R( U' H) _
Eigenvalue, 特征值
& |9 m, P% y' I) ]7 mEigenvector, 特征向量
- N1 k! [2 J$ t; N, ?. b$ V( g) ]8 SEllipse, 椭圆9 X( b4 `. f( J- f4 b
Empirical distribution, 经验分布# J: ]- x8 o; t1 c2 z' A
Empirical probability, 经验概率单位
" K1 b# n9 A) H! O( M( sEnumeration data, 计数资料
}# t N0 \3 p' vEqual sun-class number, 相等次级组含量; t0 [1 j0 y" {
Equally likely, 等可能4 }- y% |0 d3 u- l
Equivariance, 同变性0 N7 M4 {8 A0 X
Error, 误差/错误4 B8 k `3 z5 I" u5 y |
Error of estimate, 估计误差' U7 T8 @ ?3 Z% u' t _; w
Error type I, 第一类错误
+ S( F' {! o6 }- f0 G. z8 m. RError type II, 第二类错误
' r4 ]) r( R, \; ?+ c3 L- W4 KEstimand, 被估量$ D* r% b3 J1 a7 u
Estimated error mean squares, 估计误差均方
8 W* i+ C2 M7 iEstimated error sum of squares, 估计误差平方和5 z2 }' L- f0 _/ M; C7 L
Euclidean distance, 欧式距离: o& ?% t p# d: i T
Event, 事件
' A9 g5 z, [" M- rEvent, 事件
% Q; a* s; S) H; j/ lExceptional data point, 异常数据点
' h- C) F) r, I+ E: z8 Z, Q7 R. l2 C4 ZExpectation plane, 期望平面
9 Z% e' @9 N: z& W1 TExpectation surface, 期望曲面9 G0 E V# T" P% F: A
Expected values, 期望值# b3 N1 C# s) t# w, X
Experiment, 实验* u [1 M* o" E
Experimental sampling, 试验抽样
0 a) |" p g3 q9 c: zExperimental unit, 试验单位
" j( P; A, I1 H/ P% t; I& QExplanatory variable, 说明变量7 \/ D7 m# |' i; r' Z$ N
Exploratory data analysis, 探索性数据分析( o" `0 U7 S1 _ O& P3 ~
Explore Summarize, 探索-摘要6 a% R* ^+ |# G
Exponential curve, 指数曲线
" ^7 G, g+ ?1 j$ b) }! QExponential growth, 指数式增长# P7 h. G l/ M; l- N
EXSMOOTH, 指数平滑方法 # K7 u6 o1 }( g* v# d: @; [
Extended fit, 扩充拟合
. ^8 p* q6 K' n4 W1 S: IExtra parameter, 附加参数
, j& k# u( c$ l! J: |Extrapolation, 外推法
7 M! q6 z4 j+ ~# h, m) ~Extreme observation, 末端观测值: W, O- |$ a7 `4 ~2 C! L" P; @
Extremes, 极端值/极值 A! T1 [* u0 K# Q# b; h* B
F distribution, F分布& _: r6 } c! S$ r
F test, F检验
+ [& n1 g- Z! e5 X% HFactor, 因素/因子
$ l% S! U% t3 P! {+ r! G5 F6 W9 [Factor analysis, 因子分析
1 y2 O% J9 T5 KFactor Analysis, 因子分析
. A6 k2 k+ h+ K9 lFactor score, 因子得分
5 F! L0 t7 B( P4 M" K: pFactorial, 阶乘
- ~( V* |3 \3 l3 dFactorial design, 析因试验设计
* I9 E G4 e) R; R0 EFalse negative, 假阴性
0 i- \% D; v6 kFalse negative error, 假阴性错误
" T. Z9 x; \5 s5 D- m4 ]Family of distributions, 分布族( v# V, M- q0 N U- o `! `
Family of estimators, 估计量族: z9 n( [2 }* v8 q7 `
Fanning, 扇面/ Q" r+ P2 A, ?+ U* z
Fatality rate, 病死率" X; t) f$ x9 d1 D
Field investigation, 现场调查
9 w% C7 Z9 u8 N8 p. qField survey, 现场调查( J4 |3 J! G! K& e/ f& d2 U
Finite population, 有限总体
5 h3 R$ s1 t. j: w6 P/ IFinite-sample, 有限样本0 l* {+ u$ l: `3 b
First derivative, 一阶导数
' {. g% t5 r4 S. H- MFirst principal component, 第一主成分
. J" K! \: o# p. CFirst quartile, 第一四分位数
3 w( H, H! }- R2 b" d! c: ^5 gFisher information, 费雪信息量
. ?- m% q, F4 y' m8 t$ R" W) t2 o% VFitted value, 拟合值3 y4 ]8 d X+ \, ~& G
Fitting a curve, 曲线拟合$ M" ]) a, G3 A$ C
Fixed base, 定基' J. Y" @" Y5 e5 E
Fluctuation, 随机起伏
, v" ?/ i5 U5 N, DForecast, 预测- V3 Z# W/ a' ^5 r: L
Four fold table, 四格表) @$ x0 x7 c2 U2 |7 e
Fourth, 四分点
5 o2 `# ]! y5 m. z: F) Z/ \6 {Fraction blow, 左侧比率
4 m' i: y7 B. W) A( Q% M1 _# i. gFractional error, 相对误差
4 U4 N4 e, p4 b( A' VFrequency, 频率6 R) O" q$ _4 X1 t
Frequency polygon, 频数多边图" L/ g7 ~( G+ X2 r
Frontier point, 界限点9 d; l/ I+ L0 ^5 n, g7 H
Function relationship, 泛函关系
7 @0 ~, k' Z' ^Gamma distribution, 伽玛分布3 `" T1 s; v& L* N) z
Gauss increment, 高斯增量
! U# ~( j( i8 S% O8 U$ s! fGaussian distribution, 高斯分布/正态分布
8 o K+ h" g/ A: ^' |$ h6 gGauss-Newton increment, 高斯-牛顿增量# U- I/ M& x$ X- s- J0 b
General census, 全面普查
2 x. h b1 W% {/ {; QGENLOG (Generalized liner models), 广义线性模型
% i5 ^4 {( h) D. O( }3 HGeometric mean, 几何平均数3 {% @. c& O$ E8 H4 G) x, d
Gini's mean difference, 基尼均差% R- h2 J; n1 X% w4 b' ~
GLM (General liner models), 一般线性模型
& N+ u# s% t6 N! H) iGoodness of fit, 拟和优度/配合度/ ]9 @' T5 f/ i# W8 x+ h
Gradient of determinant, 行列式的梯度
2 C3 O% o3 i1 L* j' t" l& NGraeco-Latin square, 希腊拉丁方
* z9 b* b+ y$ w0 d" Z/ S1 uGrand mean, 总均值' t2 T3 ~# f1 Z! q0 b" M: s% N( q6 h
Gross errors, 重大错误9 u% k$ t- a' o+ _& G
Gross-error sensitivity, 大错敏感度$ c2 ]# r0 ]( Y8 Z
Group averages, 分组平均
) `: ^ N$ L; d! b2 g9 n# t+ o# mGrouped data, 分组资料
+ E. p3 I2 ^" v& LGuessed mean, 假定平均数9 r& y: G; H$ k5 ?/ j& W1 u! m
Half-life, 半衰期: N6 b; g) u4 u$ H
Hampel M-estimators, 汉佩尔M估计量8 a. Q. z4 g: h' m+ G* S8 n
Happenstance, 偶然事件
; x2 a, F) W' b4 G5 W* n# dHarmonic mean, 调和均数
4 J: K; X+ z+ x1 |8 T% U! fHazard function, 风险均数
$ I& D+ G) w1 S& I) h/ E. ^Hazard rate, 风险率, E1 N0 _: @7 B5 |8 n1 `. U1 _, [
Heading, 标目 ' X( S5 d3 c. b& \
Heavy-tailed distribution, 重尾分布
* M; X" v, n8 D" b: O/ x8 zHessian array, 海森立体阵' P$ t' W2 [1 W( e f6 |3 |
Heterogeneity, 不同质6 ]$ C- c+ z, _ f9 Y3 e
Heterogeneity of variance, 方差不齐
) ^3 z. |5 F& \/ S- L% |Hierarchical classification, 组内分组
* n3 o1 ]6 F! SHierarchical clustering method, 系统聚类法. o* ?& b# w! x7 D6 r" x; J
High-leverage point, 高杠杆率点
/ U- c4 A9 g8 N' b- l1 z' wHILOGLINEAR, 多维列联表的层次对数线性模型4 M+ q* C. s2 A5 e, f! [
Hinge, 折叶点; W8 Q0 F3 _+ U8 z2 U& H
Histogram, 直方图
# K/ u6 r" A6 \0 P. m/ t8 [Historical cohort study, 历史性队列研究 1 Z/ b+ g) G! E" K
Holes, 空洞8 X7 F* ^0 W. X! f6 u5 G+ i% P I+ d6 O
HOMALS, 多重响应分析# J O8 S: c c: M
Homogeneity of variance, 方差齐性
! d' h8 }, \7 }. L# eHomogeneity test, 齐性检验$ U! L0 ^& }) g( Q0 b$ U. U
Huber M-estimators, 休伯M估计量
3 H2 q- M! d; X) T' {# N8 Y3 PHyperbola, 双曲线
& V6 ^4 ^/ I9 n. MHypothesis testing, 假设检验
m2 D$ e' @2 N2 R4 ?Hypothetical universe, 假设总体
: s- @* c2 L& w3 G$ ?8 v* E/ s; [Impossible event, 不可能事件
" B: y5 D) I" N1 j! k8 H& ?Independence, 独立性
8 f: l1 m# c4 f' W. j- SIndependent variable, 自变量1 ?( i2 W# u4 }
Index, 指标/指数4 s. n! O% O! _+ Q' N9 |$ i% ^
Indirect standardization, 间接标准化法
5 p! O1 _9 Z q- c9 H$ aIndividual, 个体3 _* `; p2 g+ r' s' P" f2 a
Inference band, 推断带5 ]5 i! T, n8 q$ F h# o
Infinite population, 无限总体
3 w5 n" [' `/ @9 ~! C* [Infinitely great, 无穷大
, s6 |% h% z" SInfinitely small, 无穷小
' X# `1 b. N* k, I- _9 `9 cInfluence curve, 影响曲线
! {3 {& N) @' H5 H" lInformation capacity, 信息容量
7 ~4 M- N; ?. l5 o: ]+ WInitial condition, 初始条件
/ b) i% r6 J: @. x' y" v( t0 [4 TInitial estimate, 初始估计值# o% Z [& S: u) L; U
Initial level, 最初水平
8 \, H9 F g- \7 p8 ^- U/ K! CInteraction, 交互作用+ N8 P4 z* M2 `) B/ e
Interaction terms, 交互作用项" z- @( a0 v0 ^0 S; n
Intercept, 截距) L' m, F7 O P& ^' H- z2 \
Interpolation, 内插法
8 r" X8 g7 s* W' r. y% i% ]$ VInterquartile range, 四分位距! q( V. @5 ] r, C' X0 u
Interval estimation, 区间估计
1 B: ?0 }: w, h4 FIntervals of equal probability, 等概率区间
4 X+ p8 ]" r! D$ C) a7 d8 w: \Intrinsic curvature, 固有曲率9 M+ ]1 i$ \+ F; r x7 y4 Y; U' J& G' l+ f
Invariance, 不变性* k4 |' D, y- j9 c( X' ~2 I4 D, `
Inverse matrix, 逆矩阵
Z0 I# N; Z& Y6 F( _, [' DInverse probability, 逆概率" P- t! }- p' e* _' ~% L }$ R
Inverse sine transformation, 反正弦变换) h9 i9 T1 Z A9 p& |
Iteration, 迭代 # g# r! q1 x8 L0 V0 `' z
Jacobian determinant, 雅可比行列式
0 J& i& e9 Z/ `4 |: WJoint distribution function, 分布函数0 l% u* x7 u) u. S! f2 X% H0 t
Joint probability, 联合概率( l% S6 L, ^; w" O9 @9 v
Joint probability distribution, 联合概率分布/ G/ h) @7 P) u: I3 ]
K means method, 逐步聚类法
' A: _; K, d8 l6 G& @3 MKaplan-Meier, 评估事件的时间长度 % U- I) ~1 ]0 g" k$ `$ n# e
Kaplan-Merier chart, Kaplan-Merier图
3 j0 T2 c M. N4 N7 ^/ I: O. cKendall's rank correlation, Kendall等级相关
0 b$ ?+ N4 ]& eKinetic, 动力学
) s9 k5 `- L% n: zKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
, Z7 ]+ w; R- J2 I. [6 Y: B' w [Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验4 [4 T9 m9 n a4 h m
Kurtosis, 峰度
0 x1 K% Z% S0 ~* ^Lack of fit, 失拟
* d8 u7 m Y q# ~ K/ cLadder of powers, 幂阶梯2 u0 B1 s* K1 d/ T9 n
Lag, 滞后. X: X1 ^, V6 F5 Z) C
Large sample, 大样本8 z3 J0 I" @. \ j8 i6 H: }
Large sample test, 大样本检验1 A+ O. }- L9 d
Latin square, 拉丁方
' `' ~9 G: o3 n8 Q; {/ _Latin square design, 拉丁方设计. }9 h: \" l/ `$ a4 i
Leakage, 泄漏
/ G8 G" u' D$ I; T# pLeast favorable configuration, 最不利构形
6 r/ x% ?* w/ ?) W1 BLeast favorable distribution, 最不利分布+ y" }" L4 Q4 w6 g- Y
Least significant difference, 最小显著差法; r6 y: Q0 E7 T, N6 ^
Least square method, 最小二乘法$ h( U9 J& k& ?: a# F* R! a- @
Least-absolute-residuals estimates, 最小绝对残差估计8 ]+ C9 O& `4 o1 f( O
Least-absolute-residuals fit, 最小绝对残差拟合9 c/ z. _0 f# X N) X
Least-absolute-residuals line, 最小绝对残差线; s/ d I7 q7 Q" x3 |1 }. a
Legend, 图例
; I v2 ]. a9 R4 u* e7 KL-estimator, L估计量4 r9 H( Z& }+ N$ U# p5 v0 D1 x
L-estimator of location, 位置L估计量
6 ^. R0 h1 O% c; T; x0 z/ U4 @' ?6 cL-estimator of scale, 尺度L估计量
9 a( H2 F+ z5 {3 tLevel, 水平
, B! P \: [9 n7 q9 k. }2 sLife expectance, 预期期望寿命
7 y, J" @1 U: c9 h8 GLife table, 寿命表
: o( c( Y& q# F5 B8 N( r+ sLife table method, 生命表法9 j6 p4 m: Q& E
Light-tailed distribution, 轻尾分布- T6 A. }) W4 v% ^' z4 ^
Likelihood function, 似然函数9 G8 t( r' J( _4 I5 i7 J* K: Y
Likelihood ratio, 似然比( ?& k- a6 B' w# H
line graph, 线图
g" _$ t: N3 @9 V, S0 oLinear correlation, 直线相关, D; b% ~, h7 t# N4 W2 [+ V1 L* z
Linear equation, 线性方程' Z) F9 T/ w; W; z- m8 B
Linear programming, 线性规划, O1 G7 I, b1 {7 D5 s
Linear regression, 直线回归9 f8 d% r. k+ h" @/ X# |% W
Linear Regression, 线性回归) a7 P; `4 p" S! p$ v$ O
Linear trend, 线性趋势, b' B3 ^) H% U9 Y! E# j1 l
Loading, 载荷
. v% `" {6 Y+ N3 V- wLocation and scale equivariance, 位置尺度同变性$ l( c9 c( K- m. s+ G$ W7 V! _
Location equivariance, 位置同变性
# z5 M; z& T/ ] y PLocation invariance, 位置不变性9 G! [9 T. |/ ?7 G0 \- G
Location scale family, 位置尺度族# f( L0 q2 s# c+ y/ N, e; u
Log rank test, 时序检验 5 k D- \& S$ c$ I" o; B3 F- d
Logarithmic curve, 对数曲线# d* y* c) F6 _7 n; V1 o. H
Logarithmic normal distribution, 对数正态分布* v& N# h1 P* r' B F+ d
Logarithmic scale, 对数尺度2 Y; p8 r% A- o. |' b' h
Logarithmic transformation, 对数变换1 k; [$ L. f: F0 y, s# X1 g
Logic check, 逻辑检查
0 s. h7 F# @# i* @$ e1 f& OLogistic distribution, 逻辑斯特分布* O3 W1 S0 v" w+ ?- {4 M" o
Logit transformation, Logit转换
0 I4 _/ K1 Y& W9 xLOGLINEAR, 多维列联表通用模型
. q" v8 F( }, i4 g( lLognormal distribution, 对数正态分布+ v' y+ M* ^ f/ b' n3 C3 [
Lost function, 损失函数
. r7 u: j) x4 e1 OLow correlation, 低度相关
2 f! @% g1 {- \3 B4 E0 OLower limit, 下限- C" b0 ~% \) S+ Z# V. O
Lowest-attained variance, 最小可达方差: `6 p, w$ i$ Q
LSD, 最小显著差法的简称
6 d! P! O( h- J; G: F% B$ z! e3 oLurking variable, 潜在变量/ r Z# e0 @: V! l4 C
Main effect, 主效应
% x& j1 ^& b; V5 ]3 r2 qMajor heading, 主辞标目
4 v0 R- }6 |$ r, K# g: GMarginal density function, 边缘密度函数
; U2 @. I! y5 q# A3 bMarginal probability, 边缘概率
8 b3 X! J/ r6 n. NMarginal probability distribution, 边缘概率分布! E, r- F- T5 a1 ?. _" V
Matched data, 配对资料
+ P9 g9 ?9 v( `3 C |Matched distribution, 匹配过分布: b& {& ^ I& d, S
Matching of distribution, 分布的匹配
+ W3 w7 ]4 T* l! n: P; N/ dMatching of transformation, 变换的匹配
; x6 @6 T0 ]. s- m" MMathematical expectation, 数学期望# z- M7 y X/ F! a
Mathematical model, 数学模型( D+ y3 g. j$ A2 M0 d
Maximum L-estimator, 极大极小L 估计量
; Z; I1 d* w5 r7 }, `. O9 [' \Maximum likelihood method, 最大似然法: n3 Z! `$ X% }( o" a- e9 O3 C' _
Mean, 均数
6 @- z" H7 ^5 C9 e8 r& E; SMean squares between groups, 组间均方
# H. i( _* S$ I1 {3 D, oMean squares within group, 组内均方
8 K! V: @# C6 l: x9 J4 D0 `( GMeans (Compare means), 均值-均值比较
+ r# P, E r! [. Q, O r: G" zMedian, 中位数" L$ w- L* b) {* \
Median effective dose, 半数效量 k$ B8 _! \3 g7 `3 q) ?# n: u1 `
Median lethal dose, 半数致死量8 c: H c' _0 U& i6 A7 M6 i! B
Median polish, 中位数平滑
5 d: @" ~5 A4 |2 ZMedian test, 中位数检验* W+ {5 M) D% `. O) N
Minimal sufficient statistic, 最小充分统计量 E9 `: |) [1 P$ T5 L- g6 ?1 Z
Minimum distance estimation, 最小距离估计/ @& |' ~( }# v" g
Minimum effective dose, 最小有效量
9 N+ W" ^' ]. AMinimum lethal dose, 最小致死量
. q. x6 V: I" z3 l1 i1 KMinimum variance estimator, 最小方差估计量& }- b! P4 [6 f6 f0 X8 d! l
MINITAB, 统计软件包" h, B5 _" r' }* Q6 l
Minor heading, 宾词标目
! R0 y- t- E2 w8 t3 o: FMissing data, 缺失值
6 S! x1 v" t$ R% d4 `Model specification, 模型的确定
# `$ s5 V7 H+ W, ?Modeling Statistics , 模型统计8 I" g6 v+ @( o$ m$ B
Models for outliers, 离群值模型
E; z. |6 R* G; c( B+ n) V- FModifying the model, 模型的修正
) U7 U ]- B+ |) B5 g" z8 \9 @5 QModulus of continuity, 连续性模+ b* j5 \" k$ {9 C
Morbidity, 发病率
. i1 `" S7 z, n9 ~Most favorable configuration, 最有利构形
0 }2 W7 e" I# Z; T- iMultidimensional Scaling (ASCAL), 多维尺度/多维标度
. G% D3 c" L- vMultinomial Logistic Regression , 多项逻辑斯蒂回归
& D# a- q7 E8 {; @Multiple comparison, 多重比较
( l# q9 g* I3 U8 ~Multiple correlation , 复相关
" a- r! B% N' d. k9 ~! UMultiple covariance, 多元协方差
5 z- u7 L' E7 F. b# G. X. UMultiple linear regression, 多元线性回归
4 R; J U1 @- m9 |Multiple response , 多重选项: e5 O' r4 ^5 U- u5 E* K! F+ o% L
Multiple solutions, 多解
( ]8 m+ _. ~0 _Multiplication theorem, 乘法定理2 b# @( n& E' M0 l( ^- Y9 l
Multiresponse, 多元响应 s0 p- q! q9 U6 |
Multi-stage sampling, 多阶段抽样% a) W* Y6 T, J+ d" b$ z* G
Multivariate T distribution, 多元T分布6 \$ D9 L3 {3 C% `
Mutual exclusive, 互不相容
) Y: d) C, S/ wMutual independence, 互相独立
9 I( c/ i) t# rNatural boundary, 自然边界0 }0 x- t+ R( d0 `7 E% }, f. r
Natural dead, 自然死亡
% e3 {$ X3 F4 }" FNatural zero, 自然零
$ I9 i) G b+ e1 |Negative correlation, 负相关% Y K9 [' L |: \$ D& V
Negative linear correlation, 负线性相关6 b6 i' f7 f" m `, O" a
Negatively skewed, 负偏
. a8 b5 }3 M' M/ iNewman-Keuls method, q检验
5 w6 ?/ ~: D7 I uNK method, q检验$ p- M: T6 P& H' n g
No statistical significance, 无统计意义7 j' q$ v5 h& H" J0 ]9 F
Nominal variable, 名义变量
. F) i, G& |/ V: x% uNonconstancy of variability, 变异的非定常性
* Z% [" G( d6 h5 p; m3 `Nonlinear regression, 非线性相关
/ u! e1 ]" V HNonparametric statistics, 非参数统计
1 G# j6 r" Q! O+ ~" N( o4 C1 LNonparametric test, 非参数检验
5 w& |! D: W0 A4 ^# S0 Y6 uNonparametric tests, 非参数检验
5 b0 O1 V$ X) Y+ B3 VNormal deviate, 正态离差* ?9 R3 o0 `# j* z6 Q. p: S1 k
Normal distribution, 正态分布$ ]1 U' z# v7 m) j1 v! E
Normal equation, 正规方程组' N& l1 P; o( v
Normal ranges, 正常范围
- t5 T9 j0 s# K Q" F$ bNormal value, 正常值" D3 F7 a$ ?$ P e' H
Nuisance parameter, 多余参数/讨厌参数( X+ C9 f1 x# ]% }
Null hypothesis, 无效假设
) H+ t" c: u; P# S% |Numerical variable, 数值变量
3 j s; q! O- ?: s4 FObjective function, 目标函数
8 y' b. w; q# u' ~6 L/ ?Observation unit, 观察单位) F* W! m; R" C" O
Observed value, 观察值
@6 F8 \9 [$ G- X3 OOne sided test, 单侧检验
* A& s- E, j. {0 {One-way analysis of variance, 单因素方差分析
, B+ _# P$ a; l4 G- ~1 QOneway ANOVA , 单因素方差分析5 Y u- d2 R2 r5 Z b0 O
Open sequential trial, 开放型序贯设计% u$ Q& D) m2 o8 r, ?# U
Optrim, 优切尾
3 G* _3 a( Y7 z0 @4 i# rOptrim efficiency, 优切尾效率( |" k9 u( \6 c0 p; s* q+ D2 E
Order statistics, 顺序统计量
# M* m5 L& _$ F$ N! ]$ b9 OOrdered categories, 有序分类
5 e; }$ S. ], |7 D9 _Ordinal logistic regression , 序数逻辑斯蒂回归
% ]0 | `0 F& T" g* [ iOrdinal variable, 有序变量
2 \5 i& K, a0 K! Q% S. {. T' y4 hOrthogonal basis, 正交基
/ }$ K; v5 f I3 S( xOrthogonal design, 正交试验设计
& J% A; c9 g" t R* qOrthogonality conditions, 正交条件; o2 x& j. g5 H6 B& H# G
ORTHOPLAN, 正交设计
; G; u, Y% d& W8 f" E% f' FOutlier cutoffs, 离群值截断点
+ r/ g# {) q. x1 KOutliers, 极端值" C; Z7 P3 C" Z& p
OVERALS , 多组变量的非线性正规相关
. v. q A! U6 K( o. C% hOvershoot, 迭代过度# b& `7 l4 X% U5 C4 m
Paired design, 配对设计
5 j7 r& ?5 r! e6 u6 b* k7 oPaired sample, 配对样本: O' t2 B B) T0 z# N7 Z& Y
Pairwise slopes, 成对斜率
, V9 l% @5 Z8 N' t0 j( n# dParabola, 抛物线# F" W3 Z* y- u! }! b6 G6 _/ ^
Parallel tests, 平行试验
" a, }! u. c7 x7 Y1 IParameter, 参数
% [# Z/ S ]* H, |Parametric statistics, 参数统计7 O. V' I# |: u4 }/ ~) `. ~
Parametric test, 参数检验
3 a- A0 t0 q( S# pPartial correlation, 偏相关
2 y' W+ o+ s4 e( h: j+ }* wPartial regression, 偏回归
/ J( M! {0 r: V' h# QPartial sorting, 偏排序
7 I% R& r+ `+ f5 k, G) LPartials residuals, 偏残差
# k l9 c8 _# iPattern, 模式7 Y+ x$ k3 n( ?9 |/ Y+ F+ ^" _5 D
Pearson curves, 皮尔逊曲线, L1 r8 p4 [* }9 l
Peeling, 退层
) K& R" j* f2 j; u* C4 y0 D1 {Percent bar graph, 百分条形图8 v. q' f# f. c% i( U
Percentage, 百分比
/ l6 e3 a3 _! _$ xPercentile, 百分位数
, D# d3 a0 b0 J' e& x$ Y5 yPercentile curves, 百分位曲线. c2 R9 l! s! J7 n0 x3 T
Periodicity, 周期性8 J7 e; A {! m) J3 w$ V- Y# I
Permutation, 排列
. ^9 y1 C; C3 cP-estimator, P估计量
& l7 [5 G, P: {0 X" `Pie graph, 饼图" d8 V! ]& S! b* q
Pitman estimator, 皮特曼估计量
) ]$ B2 R6 h2 I1 Z% J! H" RPivot, 枢轴量& y1 L# o1 D5 P7 n. ?' O9 v: R
Planar, 平坦
4 @! o8 E* X, J/ IPlanar assumption, 平面的假设. o* G' W9 w, H. d1 R7 b
PLANCARDS, 生成试验的计划卡
! s Z) `! I. t* x: q& R+ bPoint estimation, 点估计0 c7 j/ `5 I2 q+ Y; R
Poisson distribution, 泊松分布1 F) a+ y6 i( y" |! p5 \
Polishing, 平滑! o% l. [ i* ?- x' i/ h/ ?
Polled standard deviation, 合并标准差
1 K/ t( x( b1 N+ B( U% x/ E8 u0 APolled variance, 合并方差* ^/ A* f' U' A a& G, M
Polygon, 多边图
9 N) j" O+ E$ q; g: iPolynomial, 多项式
0 W7 e' E' j/ C0 h* X, _0 vPolynomial curve, 多项式曲线
2 c0 f2 i! `' x1 @% h+ a# w/ nPopulation, 总体+ L9 k: ]- E# h' L! L
Population attributable risk, 人群归因危险度
+ ?& J4 s3 F/ B" e0 K% N. p2 @Positive correlation, 正相关7 b& u& f" ^6 U* U
Positively skewed, 正偏6 \6 ]( Y! o( A- h9 l* d! M
Posterior distribution, 后验分布
7 I' n' ], E$ h1 nPower of a test, 检验效能% O; v E. a: }2 c; M, F/ i: n( J8 L
Precision, 精密度
% M! A3 ?( Q5 r5 ?5 `8 A0 zPredicted value, 预测值9 F: o- V6 b) A/ [( y8 {' |( }& L
Preliminary analysis, 预备性分析 l) N5 s6 v# i- e8 c
Principal component analysis, 主成分分析
" S( _. V; ]9 Z$ V; U$ M1 q, TPrior distribution, 先验分布8 P0 |* b# C8 `- `8 p
Prior probability, 先验概率
. r6 B6 r8 @) p# c: ]7 [3 n8 p6 [Probabilistic model, 概率模型9 B% l s2 F2 J: G8 w; z1 J# U
probability, 概率
1 e' d/ { S+ _% kProbability density, 概率密度; ]7 }' O; W+ ?
Product moment, 乘积矩/协方差5 F Y5 Y- Q. |
Profile trace, 截面迹图
" X( ]& `9 u% y3 e6 e( wProportion, 比/构成比
7 W; E9 w: Y& `, i! aProportion allocation in stratified random sampling, 按比例分层随机抽样
/ g. _+ }2 c3 c/ Y/ D0 R' \, KProportionate, 成比例3 d7 @/ d4 B, @; c- r. o) G8 W
Proportionate sub-class numbers, 成比例次级组含量
* `4 c3 U7 W- D f! `4 |7 bProspective study, 前瞻性调查( a$ x; h0 F" \1 i- h/ L
Proximities, 亲近性 / `- K. d& z1 \6 b9 Z
Pseudo F test, 近似F检验
# Y; y- ~$ h: l3 U! Q. fPseudo model, 近似模型
: C; B9 N9 c0 c* sPseudosigma, 伪标准差
" a* h1 f" o! ePurposive sampling, 有目的抽样+ T: c- X1 m8 t+ S* ]. L
QR decomposition, QR分解8 [0 G$ i1 R" x x p
Quadratic approximation, 二次近似
, V6 w/ l) ^; B4 ~; E( [5 IQualitative classification, 属性分类 C; u- l* s' T; _: K% g
Qualitative method, 定性方法, P% E4 N( d6 G# H
Quantile-quantile plot, 分位数-分位数图/Q-Q图
9 Y7 ?( u7 V( t* HQuantitative analysis, 定量分析2 X( I5 ]1 _" L( |) C9 C7 f
Quartile, 四分位数 ^. e; {& c2 P! R. X
Quick Cluster, 快速聚类
1 j4 E/ |3 w; {7 SRadix sort, 基数排序 z; l5 h; }6 s
Random allocation, 随机化分组
" y- D/ e6 \! x; z2 sRandom blocks design, 随机区组设计# ^# e. |" y, c5 U- S
Random event, 随机事件, G$ ~- K; ^, J# d+ c
Randomization, 随机化1 i- a% ^1 w5 x8 h
Range, 极差/全距
, a& m% x9 j+ g/ M$ E" X7 f+ Y; Q; c1 QRank correlation, 等级相关1 _) \6 Z7 d+ t L$ b4 P
Rank sum test, 秩和检验
5 @5 I( I# S( T) zRank test, 秩检验' P2 b+ b1 P0 i, u5 T
Ranked data, 等级资料6 }# m8 Q# [. P. r/ a
Rate, 比率
0 [. B7 t, n* g' r4 zRatio, 比例
- V% \: I F& N! `; HRaw data, 原始资料
- K( b/ z9 a4 ~2 T4 w+ s3 `6 GRaw residual, 原始残差5 o, M. D4 e4 z4 W5 }$ v
Rayleigh's test, 雷氏检验
( Z) ]% p$ u7 k6 `3 q7 ]Rayleigh's Z, 雷氏Z值
* D& l& @$ `. d, h8 n5 _) H4 gReciprocal, 倒数
" E3 I6 u1 D8 U6 d- ~% ?Reciprocal transformation, 倒数变换- W$ }% o) y9 V. x8 s4 p0 K" {# w! R
Recording, 记录/ ` |; {/ K+ k D) P7 w( o1 |
Redescending estimators, 回降估计量, g$ l& j/ S% V9 J# ]7 a2 S1 d3 U3 F
Reducing dimensions, 降维
) X5 x. x9 z* WRe-expression, 重新表达) i4 r3 L- V- s% w& N% ?5 n- w
Reference set, 标准组" v" c+ v1 f, D6 D4 e, A
Region of acceptance, 接受域+ K; l& [8 Y. j: r- N, e
Regression coefficient, 回归系数+ }0 Q8 w0 o2 a7 M2 w* H ?$ ?
Regression sum of square, 回归平方和9 M2 s, ~. V! m6 c
Rejection point, 拒绝点
4 `6 t$ Z8 Q0 Y: nRelative dispersion, 相对离散度, m0 _# F" Y" g/ w3 |" J
Relative number, 相对数$ l7 C8 i2 H. r( U+ m1 e
Reliability, 可靠性4 N* |1 z/ I9 N( Q( Y U, ^# {; U5 E
Reparametrization, 重新设置参数
, w9 z- n! A0 }/ KReplication, 重复
7 \$ O% O" f, r+ G4 P9 Y; LReport Summaries, 报告摘要! h& n d' D/ M% V; W& q u$ V/ B
Residual sum of square, 剩余平方和
$ \( {& F- `, U0 V5 V. }1 R/ {Resistance, 耐抗性& z+ {" R2 ?( R3 K6 O5 H
Resistant line, 耐抗线7 Z+ V( U& @7 L" D. b
Resistant technique, 耐抗技术
2 h" W( x4 h' a1 V1 C. Y, ~0 P: ]R-estimator of location, 位置R估计量
1 w' V/ q* [4 C% Z W8 | x" r7 i7 gR-estimator of scale, 尺度R估计量% N. H3 |( ]9 \9 w5 |7 Z) O. |. y
Retrospective study, 回顾性调查" h2 X5 f/ y6 ~5 q9 ~7 u
Ridge trace, 岭迹
% Z- p& p- C" `Ridit analysis, Ridit分析
& r! j1 ]0 T# b. @4 K* g' F; c6 NRotation, 旋转5 Q, G& `3 ]/ P V; B7 \+ `- E! D
Rounding, 舍入+ Y/ w5 z$ Z8 ]( [ J' l
Row, 行
( V; I0 w3 X$ ]Row effects, 行效应! q% B6 R/ p1 Z; C# ?7 ~4 @: |9 I
Row factor, 行因素
/ a& F3 N- Y0 A& N9 FRXC table, RXC表
V) Q& B) L1 m3 |3 u, U5 s4 N2 sSample, 样本9 A; @- U6 P+ Y" C
Sample regression coefficient, 样本回归系数. t; M: y) z+ t m% @$ v
Sample size, 样本量
% V( Z. A/ h G- pSample standard deviation, 样本标准差6 i% W) C: e0 t2 K
Sampling error, 抽样误差, Z; [, m7 u8 F6 ~- E9 Q
SAS(Statistical analysis system ), SAS统计软件包8 t/ A% ~* i5 i
Scale, 尺度/量表5 m9 L: @# W6 Y# \& H: P9 x
Scatter diagram, 散点图5 f: _, v% s) e/ C
Schematic plot, 示意图/简图
9 d4 i9 V/ w- ]- }7 xScore test, 计分检验( p9 |- `# ?2 n# ^# \9 \, `0 p! e
Screening, 筛检' _" D" N! r& f$ c: q( P
SEASON, 季节分析
% ]- T$ u; l2 A9 U. k; HSecond derivative, 二阶导数2 ?! \$ D+ [5 H/ _6 Z9 s p
Second principal component, 第二主成分
8 [+ \8 s7 m3 q. `& eSEM (Structural equation modeling), 结构化方程模型 5 O: T3 s3 _7 }7 X
Semi-logarithmic graph, 半对数图 Q( j# u/ q9 e9 w
Semi-logarithmic paper, 半对数格纸7 }) W( Y: \" C Z
Sensitivity curve, 敏感度曲线
; U# M; C- j: U/ e$ @- X7 F% @Sequential analysis, 贯序分析8 Q, @. Q. o, J8 W$ O9 R& \
Sequential data set, 顺序数据集
: j/ g7 r+ U8 R. x2 B$ WSequential design, 贯序设计- B* q% ?9 h: y m
Sequential method, 贯序法
% o- R" Z; H2 A2 g& X; v, v2 p5 WSequential test, 贯序检验法$ G+ i% v" ~5 a0 }
Serial tests, 系列试验 Q. _/ d7 ]3 Q$ N( z, z$ n. q1 ]! O" a0 L
Short-cut method, 简捷法
& g( }0 H/ R/ ?Sigmoid curve, S形曲线, k" O% [7 G' k, ]) S* Z& ~* v
Sign function, 正负号函数" d* s% a1 H. o+ p- c3 _
Sign test, 符号检验8 O0 F- J6 p* `2 u0 D. H8 F) n
Signed rank, 符号秩
d3 r( N, X& G. Y" DSignificance test, 显著性检验
$ j6 ?3 C) K6 G: P- {- [' R$ T7 [Significant figure, 有效数字
$ M$ T4 F' E8 X: ?- y6 v5 ~2 QSimple cluster sampling, 简单整群抽样; u6 X; Z! o& P+ n5 s
Simple correlation, 简单相关
* Q7 {5 g# c* j' SSimple random sampling, 简单随机抽样
3 p$ |% a" k3 p2 I0 vSimple regression, 简单回归
) {1 D, S! a) a: J D9 A( k8 Wsimple table, 简单表
1 o1 ]3 ^1 s; g( q5 f" ?Sine estimator, 正弦估计量
, A* F8 k8 F2 K- {- r1 ZSingle-valued estimate, 单值估计4 g' P; F# G I7 ]7 i3 W5 c. }
Singular matrix, 奇异矩阵
: D/ C& h1 z i* l2 jSkewed distribution, 偏斜分布 q+ {* V# C% Y6 X! t; l
Skewness, 偏度1 o# k% g- |* N; M6 P2 o$ \& j
Slash distribution, 斜线分布
* s9 M9 o! }4 L; e5 y! pSlope, 斜率
# ], \, T) f/ `1 v2 L7 E$ H6 A, E x; FSmirnov test, 斯米尔诺夫检验 f/ p/ K/ w- p2 p% b
Source of variation, 变异来源* {/ G( c- O; L! y0 I
Spearman rank correlation, 斯皮尔曼等级相关
7 S0 F* M$ d1 @Specific factor, 特殊因子2 {$ j1 L/ O+ k$ C% S
Specific factor variance, 特殊因子方差
2 p9 y. t6 W) q" p B; D, a) `Spectra , 频谱
3 g' @ b) s) V3 tSpherical distribution, 球型正态分布* C4 l) V0 g6 h6 @. ?8 k
Spread, 展布
* d5 p' g' ` NSPSS(Statistical package for the social science), SPSS统计软件包
% \+ t6 u0 k0 ?% pSpurious correlation, 假性相关
( T4 P" H! p6 uSquare root transformation, 平方根变换2 N7 U. L: Y; P
Stabilizing variance, 稳定方差
# A d1 c4 X: O% r0 @6 GStandard deviation, 标准差* V* T5 X7 s; i6 ?$ [5 h$ l8 j
Standard error, 标准误
" @& o. j3 h( k% \4 wStandard error of difference, 差别的标准误6 \1 J9 [$ h8 W! Y5 k% X
Standard error of estimate, 标准估计误差
& G0 z: }$ B0 @- JStandard error of rate, 率的标准误
2 a: O) p. C! r4 r& F( D4 FStandard normal distribution, 标准正态分布
" j* M; ?5 e# @) fStandardization, 标准化# k: n1 }5 p3 ?. Z9 a" F/ L
Starting value, 起始值% N3 Y8 C' m% Z6 Q" G
Statistic, 统计量6 n5 K' f% c& _4 B0 k- G
Statistical control, 统计控制
6 H, A% _6 ?/ L/ `* K8 QStatistical graph, 统计图! K9 e& f5 y. F
Statistical inference, 统计推断
$ G" a0 }; w9 o, ]. ^Statistical table, 统计表
" M# z( B f5 J6 s2 uSteepest descent, 最速下降法0 F6 c; T; b' n1 l6 _9 p. o
Stem and leaf display, 茎叶图
9 r w4 _! q3 E3 }8 }: V$ f+ XStep factor, 步长因子
K$ [9 L c: k n9 ^7 |) ZStepwise regression, 逐步回归
$ ~+ p- [- ^7 l$ U6 DStorage, 存
1 G- E2 g \+ k& ?) g9 mStrata, 层（复数）
4 m# n3 F* _2 n8 WStratified sampling, 分层抽样5 H% a: b0 v) |" B3 H
Stratified sampling, 分层抽样- ^2 F) M* e" L6 x
Strength, 强度' n% K/ n; U5 Z/ G$ l& v- ?3 h/ d
Stringency, 严密性
7 }+ _" f: f8 G3 b8 VStructural relationship, 结构关系
. E* h: F7 [# |0 }9 `& hStudentized residual, 学生化残差/t化残差( r8 u+ M/ V% F$ U i
Sub-class numbers, 次级组含量) }8 A: t) L6 r# i( ~% X$ n {( b n
Subdividing, 分割! U! p' Y; X/ K$ f: \0 t; r
Sufficient statistic, 充分统计量
* g1 Y8 ^/ e; H5 x# S% u" G: r2 NSum of products, 积和
9 n/ a5 x7 J, S H: `Sum of squares, 离差平方和6 C9 g3 v' h- R
Sum of squares about regression, 回归平方和
% b' [! {+ N3 o9 sSum of squares between groups, 组间平方和
; ~) @3 L- G M5 S- A9 p& M# t' ~+ fSum of squares of partial regression, 偏回归平方和
8 X& Q# l! g+ {7 f# xSure event, 必然事件
( n, S' }0 c/ ~Survey, 调查
& e$ U3 A! p+ bSurvival, 生存分析
6 p- b4 X* N0 p3 p4 pSurvival rate, 生存率* L' Z: `/ u- R+ @% Z1 Q5 c! {
Suspended root gram, 悬吊根图
: F# v( ?0 l) DSymmetry, 对称
8 T. A# C2 `7 k! z( h* NSystematic error, 系统误差
/ W! j: i; Z) ~& S' eSystematic sampling, 系统抽样
1 w" H" ]& f" F* WTags, 标签) ^6 D" a$ i7 l& f4 x+ b- a
Tail area, 尾部面积
- M" B# q5 P8 |3 U: Q& \7 ^Tail length, 尾长0 d3 j, ]( ]: p5 w* N: l/ Z; ~) r
Tail weight, 尾重
+ R4 |3 t' z9 g% l# ZTangent line, 切线; K( ?8 d0 b7 b0 I1 y
Target distribution, 目标分布" ~' S! M, K6 Y& o6 Z. L$ o% _# p
Taylor series, 泰勒级数
* L! e% e% M: d: B2 B I- sTendency of dispersion, 离散趋势
+ N5 t* x7 z$ Z3 a- G, Z+ zTesting of hypotheses, 假设检验
* _9 h( v5 T7 t: l6 }) \% tTheoretical frequency, 理论频数7 C Y! N8 [5 b) { H8 w
Time series, 时间序列5 F" P8 }% Q. k" c
Tolerance interval, 容忍区间
) n) M: v+ F$ {8 U* L) [% NTolerance lower limit, 容忍下限9 b; d Z( Z3 S* T2 O6 Y/ }
Tolerance upper limit, 容忍上限
; f( g5 A- u: n: I9 ?3 z, [Torsion, 扰率
2 |8 S# b! t* H s# |# P: M5 dTotal sum of square, 总平方和
1 n: U- `2 H% f' ~! YTotal variation, 总变异7 l6 M# C1 o" y2 }
Transformation, 转换
$ n$ k& m/ d/ b1 L$ U/ CTreatment, 处理
: {, H+ i* |7 G! y/ R; ZTrend, 趋势
7 O' w! ]/ X2 a; z1 ]+ ~+ fTrend of percentage, 百分比趋势
# ?6 V$ [; u( p) l5 @Trial, 试验
k+ C2 M; b- Z( J2 |5 J* g0 STrial and error method, 试错法
" X/ _3 X6 Y0 H3 x; S0 x& K- f- STuning constant, 细调常数1 c+ S; V# e0 F/ \3 l, T1 V
Two sided test, 双向检验# F: p5 ^, s; |) E
Two-stage least squares, 二阶最小平方
% T+ l0 A+ H$ l0 bTwo-stage sampling, 二阶段抽样( ^# m0 g8 X$ V6 N9 M; j# P
Two-tailed test, 双侧检验
9 g4 W3 [* E8 `1 B& j; B6 }' KTwo-way analysis of variance, 双因素方差分析
- E2 Y- O: ~% p# nTwo-way table, 双向表, \- d: e/ E, ?# Z
Type I error, 一类错误/α错误# e1 w) ^, V5 y+ M3 G3 z$ {4 ^! t
Type II error, 二类错误/β错误
' }# p8 \: O$ @' N$ S# |UMVU, 方差一致最小无偏估计简称( e J# g. s {
Unbiased estimate, 无偏估计
; G8 U- \! S' }2 y0 z/ z: sUnconstrained nonlinear regression , 无约束非线性回归
* w) y3 m# S; K& j/ z! {+ bUnequal subclass number, 不等次级组含量6 m7 e' B1 Y2 x
Ungrouped data, 不分组资料; Y2 [# [; A4 e8 q4 f/ g
Uniform coordinate, 均匀坐标, |# O1 a' c1 T8 N( H+ A4 j
Uniform distribution, 均匀分布) r& ^4 ~4 G+ v, [# o6 {; {' P
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
( A/ a# B% [+ U2 {5 i) DUnit, 单元
$ u+ j6 Q: G+ r) Z* Y9 X- V2 ]Unordered categories, 无序分类4 b3 _; ~0 F y0 u/ K A
Upper limit, 上限9 `' |* W6 V2 s# X
Upward rank, 升秩' D4 r. o+ g/ n
Vague concept, 模糊概念
4 ~8 `& d$ [. N& [2 T- F fValidity, 有效性
0 R& ^/ {/ E% u. ]& HVARCOMP (Variance component estimation), 方差元素估计6 G; o! ]. v' }/ I( m- u" @
Variability, 变异性
1 V! G) @3 \" v7 qVariable, 变量 w/ a7 y! v5 F; D* p) A- v, T) b
Variance, 方差
' { B$ R9 M5 l1 w1 aVariation, 变异! O& A' v1 H* v# c' f1 b- e' g
Varimax orthogonal rotation, 方差最大正交旋转
4 M; A- k Q% v9 v) HVolume of distribution, 容积
! W' N S: d3 ~W test, W检验
9 s5 J2 y# u; T/ TWeibull distribution, 威布尔分布5 ~& r* t" _- B! v1 g# q
Weight, 权数. S" _" V& y) [2 N# ~8 n& D* Y7 A
Weighted Chi-square test, 加权卡方检验/Cochran检验
- F% {5 ~% l4 H2 |6 A/ V2 Z6 OWeighted linear regression method, 加权直线回归( S, ]9 ?: N# ]4 l4 K) |1 f
Weighted mean, 加权平均数" _ g* t* t% G
Weighted mean square, 加权平均方差$ l( C- n4 r0 G; ~' M" N3 K' z
Weighted sum of square, 加权平方和
, y3 t0 s" q4 [7 f: fWeighting coefficient, 权重系数% f& C5 y* F5 e1 g$ b
Weighting method, 加权法
9 L6 o+ d0 h9 r- v0 v7 e/ W6 ZW-estimation, W估计量( y% d5 |0 }1 u
W-estimation of location, 位置W估计量
1 C/ p! B* K5 rWidth, 宽度
9 K2 M2 Z. n# M+ v8 W8 qWilcoxon paired test, 威斯康星配对法/配对符号秩和检验* a6 [- y9 n+ M( G8 ^( J2 n( ^/ L5 y
Wild point, 野点/狂点5 f4 f' `& t. O0 C% ?& A, @7 v9 ~
Wild value, 野值/狂值
3 `' S2 |$ A, x! P2 ^) N7 mWinsorized mean, 缩尾均值
* O+ c2 n9 U, v2 y) [Withdraw, 失访 / t4 e- T' \" |# |9 J2 w( F
Youden's index, 尤登指数
" Z2 G( C6 V' v1 i& uZ test, Z检验* q1 o9 N$ y) s- R3 t
Zero correlation, 零相关
1 s q+ |* u. ~3 ]7 JZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
