|
|
Absolute deviation, 绝对离差
/ E* @: g1 c! l0 D, ZAbsolute number, 绝对数: \" N" A; a0 f3 B q2 R2 Q
Absolute residuals, 绝对残差
+ ^; N T9 M: \: M3 DAcceleration array, 加速度立体阵/ [8 H9 W' N1 A0 M' [: W
Acceleration in an arbitrary direction, 任意方向上的加速度
& R- A z6 q: f( ]: D, aAcceleration normal, 法向加速度
' v& M, X' A3 }% t$ R0 wAcceleration space dimension, 加速度空间的维数
$ f2 G \/ O. YAcceleration tangential, 切向加速度, N+ x, ?+ \ A; @; Q$ R/ I1 R
Acceleration vector, 加速度向量: [3 K7 K' }7 t; t
Acceptable hypothesis, 可接受假设
0 E! u) ^* o7 M _2 {Accumulation, 累积
/ x, x; B5 D0 S BAccuracy, 准确度
* o2 R0 g4 v& DActual frequency, 实际频数3 |9 y* C( R0 M8 G6 g$ k( x5 d
Adaptive estimator, 自适应估计量
2 _ G: I4 R: O# J7 D/ ?8 XAddition, 相加
7 K! W; G4 O" N E0 _0 r. X" y4 s& WAddition theorem, 加法定理 X! ]7 i+ D+ `. i6 ]8 Y( C
Additivity, 可加性
2 e" U5 P7 _5 ]Adjusted rate, 调整率9 S0 ^1 X0 w9 j3 K' Y. ~/ q
Adjusted value, 校正值6 p% F0 G8 b3 |" d3 D
Admissible error, 容许误差
' r" U; g4 ~8 q& rAggregation, 聚集性. u5 U& t1 x, W+ H, v
Alternative hypothesis, 备择假设
2 C6 ]- n8 v4 S% uAmong groups, 组间7 O! ^8 Y0 w# v6 m2 p$ j- T$ q
Amounts, 总量. C, [& j- ?0 k1 v- | J2 t& z
Analysis of correlation, 相关分析5 U8 O% I s$ L' n* O
Analysis of covariance, 协方差分析) s$ i* [" G# A# D
Analysis of regression, 回归分析 u G3 ^7 S- p" F3 k+ {
Analysis of time series, 时间序列分析
! `/ ]9 x6 h+ j! _2 c" S' pAnalysis of variance, 方差分析: _* U7 P. R q+ T( j
Angular transformation, 角转换
6 Z& u% Q- q/ V# wANOVA （analysis of variance）, 方差分析! V- P4 j: _% `8 v
ANOVA Models, 方差分析模型
# j1 G; g) U4 b4 d9 x1 TArcing, 弧/弧旋& H6 M% s3 @2 n' X, @9 H
Arcsine transformation, 反正弦变换: o6 Q. g' f- X. S. R
Area under the curve, 曲线面积
. s& B, v% Y4 G% R2 E' yAREG , 评估从一个时间点到下一个时间点回归相关时的误差 ' a$ d' S2 q' p$ A1 o
ARIMA, 季节和非季节性单变量模型的极大似然估计
" f) B6 K, A" o7 qArithmetic grid paper, 算术格纸+ ]* m# e+ Z8 c2 W; R
Arithmetic mean, 算术平均数 e+ u. B2 k0 T/ ?& [
Arrhenius relation, 艾恩尼斯关系( x; C0 T1 m+ e
Assessing fit, 拟合的评估
" H7 W2 o) [0 ]' L* ?+ {; \. I+ j: y( hAssociative laws, 结合律
' r2 _; P% }/ m" l' cAsymmetric distribution, 非对称分布
8 T7 ~& X9 V+ k0 `& J3 o6 W* ?Asymptotic bias, 渐近偏倚/ r! D2 ?, F3 ~+ W
Asymptotic efficiency, 渐近效率
" T" g8 Q0 T6 a0 b7 }' [Asymptotic variance, 渐近方差5 ^% ]: z1 p/ I, v
Attributable risk, 归因危险度
/ E& r6 x( O$ \) jAttribute data, 属性资料% l9 A1 S4 }7 ~
Attribution, 属性, D2 U- {. T8 i6 r; T7 @/ O
Autocorrelation, 自相关
* m2 C) E; W$ V. jAutocorrelation of residuals, 残差的自相关
2 l6 O' W$ v. k, `* ?4 lAverage, 平均数0 p# j5 }; e4 t2 X" \7 ^5 M$ \7 a
Average confidence interval length, 平均置信区间长度
( E. [" C/ \' r p, MAverage growth rate, 平均增长率
9 P5 N- N4 p" M) y G8 P$ fBar chart, 条形图& Q. Q5 f* K/ b' m. E0 n
Bar graph, 条形图2 m: j4 N; G1 n/ }- D' l% n* K
Base period, 基期; J. k" y1 U& J2 r% k/ V K
Bayes' theorem , Bayes定理$ g+ P' i+ P+ l* W
Bell-shaped curve, 钟形曲线: G2 q5 p6 z( ?
Bernoulli distribution, 伯努力分布! w% g4 E- D6 Q$ h
Best-trim estimator, 最好切尾估计量
" w" f& H$ ]- o( wBias, 偏性, N6 t5 o) m% [9 Z& K* U4 l
Binary logistic regression, 二元逻辑斯蒂回归
* N5 ~/ E( h1 B, K6 nBinomial distribution, 二项分布
' x. Y9 ]3 L5 _; D7 |1 B$ ?6 ~Bisquare, 双平方8 G- _- k3 g4 {$ |) {1 `" ]# @2 ]1 c
Bivariate Correlate, 二变量相关- ~6 o, {6 P: [. V: d# J
Bivariate normal distribution, 双变量正态分布; R. p* J# V2 d4 h4 V2 h- [
Bivariate normal population, 双变量正态总体
6 A. w, K$ ?4 b9 z; k( Q/ YBiweight interval, 双权区间
+ r8 @9 q! y. z# BBiweight M-estimator, 双权M估计量6 K, X- i* ^. R! G+ f, f! A) Q
Block, 区组/配伍组* J# l3 W: d7 |
BMDP(Biomedical computer programs), BMDP统计软件包( P' o% J+ N7 _0 _% i
Boxplots, 箱线图/箱尾图
) E& @( `7 a" C7 WBreakdown bound, 崩溃界/崩溃点' |& X) ]1 Z9 e- _+ U5 ?) F
Canonical correlation, 典型相关
4 T+ v8 F, o+ n* t. SCaption, 纵标目 m6 v B: g+ ^0 j& g" [0 x
Case-control study, 病例对照研究
+ T7 [( o% W3 l8 o+ _ r; BCategorical variable, 分类变量2 c" B2 g" I. p ?- D2 s
Catenary, 悬链线
1 R* n. Y; ~; X! a1 n4 MCauchy distribution, 柯西分布; w8 y5 t f# z% o2 W9 c+ X) q9 a
Cause-and-effect relationship, 因果关系& v0 {* v+ v1 a, x' T0 I! F7 E$ [
Cell, 单元
% ~% l% Y# c) K' ?9 S% x# wCensoring, 终检
. |; }1 t7 l9 E7 OCenter of symmetry, 对称中心, C Y, ]: p4 s7 c( T, [
Centering and scaling, 中心化和定标
8 m( Y3 G% V# s5 M6 m# ?% R: j# g; YCentral tendency, 集中趋势; L" c; m: e' S. J
Central value, 中心值( ~+ S$ n9 Y# o& F
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
% ?3 W0 H7 K; R: k( K/ t7 VChance, 机遇4 M3 g/ T1 Q2 V& Y$ C2 {" k% f
Chance error, 随机误差; K3 l1 j4 t4 Z3 h3 l
Chance variable, 随机变量6 E( R3 b- g3 c
Characteristic equation, 特征方程
2 y" J7 H, n) X- y" o4 gCharacteristic root, 特征根6 k! p p6 p) O d" c3 D' b
Characteristic vector, 特征向量& `: g+ Q! _; J/ L- k J
Chebshev criterion of fit, 拟合的切比雪夫准则9 q1 B9 ]5 c7 O: U/ y
Chernoff faces, 切尔诺夫脸谱图. h0 _0 Q" [! }% s
Chi-square test, 卡方检验/χ2检验+ K! G) l" i7 \7 O3 I
Choleskey decomposition, 乔洛斯基分解0 V+ x, v8 r9 u
Circle chart, 圆图 ; e3 P. B# Y3 S [/ a
Class interval, 组距
& D# \ W+ t0 N* Z' cClass mid-value, 组中值' @3 ?) ? t8 @0 O: j
Class upper limit, 组上限) x$ ?9 Q K& y( h& S
Classified variable, 分类变量
, f8 Y+ U1 }* f, P: cCluster analysis, 聚类分析" Z: R* l0 ^8 d E" h
Cluster sampling, 整群抽样) ?2 n& U' O6 p& s. f
Code, 代码: l4 U1 u% O0 j/ e2 e, ^; Z8 }3 O
Coded data, 编码数据0 M) H3 r, K6 G( a; _9 l1 L
Coding, 编码; L9 u9 x6 B- N/ W6 R) b
Coefficient of contingency, 列联系数
( g7 m$ ^9 X, F+ [/ G [) g8 HCoefficient of determination, 决定系数; Q+ L( C' a7 w6 a. [
Coefficient of multiple correlation, 多重相关系数
( t7 v# c/ ^+ y, n4 e5 \Coefficient of partial correlation, 偏相关系数. F& C! |! _! c. x1 N9 m5 Z
Coefficient of production-moment correlation, 积差相关系数
$ e% t" |# w3 C# G% d/ _& YCoefficient of rank correlation, 等级相关系数
; t9 e- R, l8 ^& `Coefficient of regression, 回归系数
. C% s- s! b+ s1 D4 QCoefficient of skewness, 偏度系数
3 d. x }2 b) F, z9 e- JCoefficient of variation, 变异系数
; X& s" L, O+ x2 h |' J1 D) KCohort study, 队列研究
: h; S% c% i5 VColumn, 列
# \! S+ e: P7 r; HColumn effect, 列效应
5 l( J) J' \' M7 e8 x V! L4 XColumn factor, 列因素0 `. c5 _* I; p- S
Combination pool, 合并
0 D+ s& V. ? F' N% vCombinative table, 组合表
( Q; `2 B4 A5 p4 E" l* ECommon factor, 共性因子
4 \7 `+ Z; p6 k% s% j8 c) \" dCommon regression coefficient, 公共回归系数4 s- L: T# A/ c9 C0 e* X7 ?- o
Common value, 共同值' @; }/ ?4 H' a# T# E
Common variance, 公共方差& I& a% f* E" \+ |1 e7 n
Common variation, 公共变异
2 D6 q& [7 n3 c0 U/ @& |Communality variance, 共性方差- V, b7 A; t) |/ N
Comparability, 可比性# b7 t6 ]- v, t" Q& U3 p
Comparison of bathes, 批比较
6 ]3 V: j, M4 ]( @Comparison value, 比较值
% z5 c! e1 c+ m. {5 s7 yCompartment model, 分部模型; U9 B$ `* |% x& p- O7 p9 w0 f7 _' O
Compassion, 伸缩
; ^- ]( p& w' mComplement of an event, 补事件
) ?6 Q& a9 U" }5 f5 Y _, J P8 SComplete association, 完全正相关7 H8 b- S K8 p1 u5 K
Complete dissociation, 完全不相关2 W) k& W' m2 q# }) z. h$ ]2 |7 k
Complete statistics, 完备统计量
( c/ n# t f% uCompletely randomized design, 完全随机化设计$ @0 b( | k: K6 J' s
Composite event, 联合事件: L0 n$ L6 u- w* R& I0 }& B/ m6 o
Composite events, 复合事件: V( \5 ?4 Y8 {6 s! W
Concavity, 凹性
6 t! T* Q" F3 r2 c0 OConditional expectation, 条件期望
6 z/ z! o% R( K$ zConditional likelihood, 条件似然6 B; f/ h# @7 ^% y3 z! @% V2 [1 `/ o
Conditional probability, 条件概率
$ Y6 S: @! Y: x- G' uConditionally linear, 依条件线性
, E7 u: j, A1 LConfidence interval, 置信区间1 \; ]% R4 k$ x% N& h/ M
Confidence limit, 置信限
. C. R, _) E) F9 ?. @Confidence lower limit, 置信下限3 _# f8 q4 K3 c' j* A1 C+ ~+ G
Confidence upper limit, 置信上限
3 a+ u; v! Q9 T7 {# QConfirmatory Factor Analysis , 验证性因子分析4 U1 k6 w, @/ C1 m" ~: r
Confirmatory research, 证实性实验研究6 }( d4 t( H- w& I' H, [1 b! O
Confounding factor, 混杂因素- A7 C C: a) W" d$ [# j4 e) {
Conjoint, 联合分析$ v9 V: X* g5 Z8 B
Consistency, 相合性 [; Z# v. r5 y3 x) w6 j
Consistency check, 一致性检验
6 S( B# C. c' T. @+ RConsistent asymptotically normal estimate, 相合渐近正态估计
# q& m( T L3 F) T& jConsistent estimate, 相合估计, n8 [+ D+ R% M) @
Constrained nonlinear regression, 受约束非线性回归
7 s: x# \8 L B7 c3 w, ~) WConstraint, 约束
! M, w9 b m) {+ {" YContaminated distribution, 污染分布
; L6 i$ ]6 N& \/ @$ @Contaminated Gausssian, 污染高斯分布
3 {' d. O1 z7 `' q5 T9 ?* h$ V' m1 S! YContaminated normal distribution, 污染正态分布+ S/ U: \; c) |" x" z
Contamination, 污染
9 v T9 \$ u1 l ^8 s3 GContamination model, 污染模型6 v/ m- ?) `* i l$ P. V) M ]
Contingency table, 列联表. A, X/ d0 K# u8 r" O
Contour, 边界线
( u. l2 L$ D1 U1 F8 Q8 yContribution rate, 贡献率
% F/ O+ Y" N' [7 EControl, 对照
2 N/ H6 }' y g' n' D) F& PControlled experiments, 对照实验
/ o, k3 | D, w6 ~2 LConventional depth, 常规深度
! y' c. Q2 y& _7 V3 g5 u v# EConvolution, 卷积
8 |/ N/ t) t; Q( qCorrected factor, 校正因子
% H- r j& i. V7 y" |! x2 T' [Corrected mean, 校正均值
! O/ W- z4 r" Y" N0 t5 WCorrection coefficient, 校正系数+ p# d& A$ h' t3 C( ?8 V
Correctness, 正确性# @$ W" ^' L9 L7 y
Correlation coefficient, 相关系数& |8 m3 j+ I& l/ {
Correlation index, 相关指数
5 L# k; ?0 H9 `* l( F" T$ F, j" RCorrespondence, 对应
, }8 m+ O% H! P9 t' BCounting, 计数
2 u n$ R2 W' i+ \' R" vCounts, 计数/频数
7 [" e* l2 g/ N/ S6 G9 tCovariance, 协方差
4 N5 O, E: a3 C) z `2 a- ZCovariant, 共变
: u- q( v6 v3 N+ fCox Regression, Cox回归
2 M# ^2 h. \. q, a# UCriteria for fitting, 拟合准则0 ~! d" c* j" s$ h/ e, R6 P
Criteria of least squares, 最小二乘准则1 a H$ N3 g x: ~; Y
Critical ratio, 临界比
) ] C' y. g, y, H) H {Critical region, 拒绝域, X! Z+ g0 H) i0 T) a' f
Critical value, 临界值; ?8 d, s; M. x4 `' z y* q% K, ^1 J* }
Cross-over design, 交叉设计
* _% z2 O8 U/ Y- ECross-section analysis, 横断面分析 k2 U }! V! L' b
Cross-section survey, 横断面调查5 m8 A6 @3 f2 ^3 r. A
Crosstabs , 交叉表 9 e- P& f* I! U
Cross-tabulation table, 复合表
7 ?5 S2 b1 Q+ y3 }2 H) X2 HCube root, 立方根9 k9 B/ d) Z/ H+ h8 k" ]- m4 ^
Cumulative distribution function, 分布函数
! G! Q, b# A; P% V0 s) c ZCumulative probability, 累计概率2 x# Z/ m6 a2 V# y2 I/ X! z5 z
Curvature, 曲率/弯曲0 a* S: J y, ~9 L. T
Curvature, 曲率; ~9 Q0 C. E% `2 w
Curve fit , 曲线拟和 & w# R5 F, Q* `8 |7 {% U% m R: Q* z
Curve fitting, 曲线拟合/ e8 h, e l7 m4 r. ?1 U
Curvilinear regression, 曲线回归! l+ r3 S4 N/ A: C% }, V5 e
Curvilinear relation, 曲线关系9 z; m. r* ? v8 p& S, R" e: H
Cut-and-try method, 尝试法
1 `/ V7 D: K1 U( pCycle, 周期" P) f7 \; U1 S' R# n5 {
Cyclist, 周期性
* u! Z/ L. b# v; V( RD test, D检验
+ c9 m: k) U o Q) w0 [7 mData acquisition, 资料收集
2 l" c9 P9 y, O* F" ^, VData bank, 数据库
: n# ~9 g! L P5 ?1 D) U9 H5 HData capacity, 数据容量1 `( N" F D+ V8 p' T
Data deficiencies, 数据缺乏: L: u, `1 T2 A& h
Data handling, 数据处理
* G* q$ U5 g' u; D# T7 N% \! sData manipulation, 数据处理( T [4 a7 m) ^# t+ C
Data processing, 数据处理
: R8 M$ l% d4 P2 bData reduction, 数据缩减
: [. w% O$ e2 H- n; O2 h% uData set, 数据集: s8 G& n7 e* {% h' I
Data sources, 数据来源
5 T; N$ u; L$ i$ }( OData transformation, 数据变换
' a0 w4 r+ N# W. t' C. mData validity, 数据有效性
4 N& L+ o- S( {! r7 d" X$ c2 S( wData-in, 数据输入
. k/ \" U- ^& n& dData-out, 数据输出# ^2 e4 q* p) Y2 s
Dead time, 停滞期! o& x9 h0 V) @
Degree of freedom, 自由度
2 w* X1 l f/ _- h: ODegree of precision, 精密度( n8 ~$ u B9 l; o* ^
Degree of reliability, 可靠性程度
) _: Y7 x/ X3 ?0 {* \# }/ _2 n9 CDegression, 递减) T# R% G; ]8 V1 D6 h4 y0 y L
Density function, 密度函数
. g7 J j& o% @0 ~ P& N5 ~Density of data points, 数据点的密度; i; m8 D) D" [3 h) C2 _6 I; f) c
Dependent variable, 应变量/依变量/因变量
7 [! a/ i) K2 A% T% _9 rDependent variable, 因变量
" l" @6 c! |1 H" T- J1 vDepth, 深度
( H4 v3 `: r6 x) \6 JDerivative matrix, 导数矩阵
- @+ u4 N( c* @& @& u/ `3 @; t9 SDerivative-free methods, 无导数方法
5 ?- L) W+ F7 c* A) sDesign, 设计/ O6 |0 ]# [* r
Determinacy, 确定性: z; i& B" d* A1 V' O9 X5 T
Determinant, 行列式9 ^' N+ T4 K* l# R# T! T
Determinant, 决定因素
0 y2 N5 @4 d7 a0 G7 _5 gDeviation, 离差
! H: n$ V; ~7 [Deviation from average, 离均差
5 Y. M" B {3 Q" h0 a CDiagnostic plot, 诊断图) m' F6 C! G0 T! B% ?
Dichotomous variable, 二分变量
- {+ U7 T3 g% t eDifferential equation, 微分方程
0 J+ H6 a' I- c) @; y9 EDirect standardization, 直接标准化法9 S% A7 e/ Y. _' M2 p
Discrete variable, 离散型变量
: D/ w) d+ s C# | QDISCRIMINANT, 判断 - J. z ]5 }7 l6 D: K
Discriminant analysis, 判别分析! ^* J" v# O2 z. }# m
Discriminant coefficient, 判别系数/ H$ Y/ W) n; X6 l" A9 d, Q' o
Discriminant function, 判别值7 ]) E L2 {' U" J! ?; g! T
Dispersion, 散布/分散度) l! g% h4 U: C7 T: R1 t
Disproportional, 不成比例的2 o8 X% s, e4 g; @- Q
Disproportionate sub-class numbers, 不成比例次级组含量
- o/ X( x0 e. x3 w+ @5 B5 p! b+ _ b4 g/ dDistribution free, 分布无关性/免分布
" F8 ]0 Y3 Z5 gDistribution shape, 分布形状* M* `& Z" h% E
Distribution-free method, 任意分布法1 p* E( a* Y% J! X9 G0 ^' ~/ ?
Distributive laws, 分配律9 Z0 a0 f) J9 ^/ M! I2 R" ]: M
Disturbance, 随机扰动项8 G$ G0 N1 F. ^& @) h* Z0 E/ E* a5 C
Dose response curve, 剂量反应曲线% k+ h6 ^6 O6 X- M
Double blind method, 双盲法
& d9 ~1 p. T c' T, U5 pDouble blind trial, 双盲试验+ Z x/ c% Y* B3 H& w3 S X0 D- U
Double exponential distribution, 双指数分布' ^/ V* {" @8 i& v" @- M
Double logarithmic, 双对数( z) T0 H6 d( ]; }% R; P1 y
Downward rank, 降秩
1 m9 K% ~1 X4 p. K' x& P# s5 Q2 t$ p, @Dual-space plot, 对偶空间图! F% x# |# Q s* r- }) j
DUD, 无导数方法( u& Z0 j! \% P) I
Duncan's new multiple range method, 新复极差法/Duncan新法
, ^/ ?9 t: L, mEffect, 实验效应
4 \; k9 Q9 M/ @0 p/ R) NEigenvalue, 特征值) ^* }( [- n- Z. D- C
Eigenvector, 特征向量: E8 p5 b- _4 c; n9 I; }# S
Ellipse, 椭圆% D+ K8 b* Q% Z W6 Q9 h7 E) G
Empirical distribution, 经验分布
# T& X& J5 r" HEmpirical probability, 经验概率单位8 j6 S# J X& W+ m! x* v
Enumeration data, 计数资料! x( A) h/ N0 u
Equal sun-class number, 相等次级组含量
0 r# r* y; I; E5 R! _Equally likely, 等可能
+ t1 G, T7 D! h! O# J* Q. j0 yEquivariance, 同变性
. L5 e4 x1 f3 f& p; p7 fError, 误差/错误+ M& ?0 z R: M( `4 w: Z, @! W# ] }
Error of estimate, 估计误差. X/ W! S" ^/ m
Error type I, 第一类错误
# {; M! R3 B) `Error type II, 第二类错误
" K7 b" X1 @ w7 X3 M8 ? `, m# h$ \Estimand, 被估量8 H5 w) N, f5 Q6 h# F1 G3 z
Estimated error mean squares, 估计误差均方( ?) C. S' s. j! m0 `/ H6 N1 \$ F
Estimated error sum of squares, 估计误差平方和+ s" P ^9 |' s( d
Euclidean distance, 欧式距离- }4 U9 c% ~% q. J, f/ W S
Event, 事件& ]: x9 K Q% e; j7 u' w4 U6 P
Event, 事件9 j" i1 l: {( q2 q. X. W) C
Exceptional data point, 异常数据点0 b; R! [- ]& O+ V
Expectation plane, 期望平面
1 W A! v8 E0 {4 c, c% `8 \# @1 sExpectation surface, 期望曲面
: j6 C2 N7 y( P. u+ ^( AExpected values, 期望值8 t2 D& \& d0 u# M' i4 [' w* D
Experiment, 实验3 }5 }4 D u/ L
Experimental sampling, 试验抽样
+ u% F' r% H1 b2 R, ZExperimental unit, 试验单位
, @3 V9 z2 u0 O& L% T7 }% G5 yExplanatory variable, 说明变量
% J6 m8 w+ Y( d( u7 eExploratory data analysis, 探索性数据分析
' F0 o; i4 K* W0 D0 F- q' LExplore Summarize, 探索-摘要
! Y. U, s7 J5 f6 r7 ~! [Exponential curve, 指数曲线8 b& s! [2 B; s' M# s4 R
Exponential growth, 指数式增长
8 j$ j7 a& R9 u/ r- j! m. K6 yEXSMOOTH, 指数平滑方法 " m- l$ ~8 o3 w2 O; s4 I; |
Extended fit, 扩充拟合& Q6 k- {$ F% A. w& `
Extra parameter, 附加参数
+ ]: p' M9 @! Z. iExtrapolation, 外推法
7 v, J8 [& m) B+ f1 Z- e3 K5 mExtreme observation, 末端观测值8 l+ y7 V$ t1 _3 y& p9 P ~
Extremes, 极端值/极值) I" @. T0 r& b3 T1 ~. k1 r) C7 ]& M
F distribution, F分布! Y$ |' c) D4 @$ t0 v6 C3 ]: Z
F test, F检验9 H; r' o8 P) b, [# b- l) b
Factor, 因素/因子
' q Z( d! d, z* H# z1 c/ WFactor analysis, 因子分析
( z& m# w* Y3 t) d+ aFactor Analysis, 因子分析
* V z& T# z6 Z6 h4 `Factor score, 因子得分
- F' D. W" u( K; I( E) y3 ^ |Factorial, 阶乘
* ?2 S' m7 `+ O+ r& |) K, \Factorial design, 析因试验设计
. `% I, F; A K: @False negative, 假阴性& t( h7 F% o( g1 U0 Z$ u
False negative error, 假阴性错误
! b! c. H. d# C8 l( YFamily of distributions, 分布族; u- }2 @! R: I
Family of estimators, 估计量族
A3 k- T# w$ g) b- fFanning, 扇面
2 ?% C: _" ^4 y+ lFatality rate, 病死率& ^% A; E* q5 Z' R5 }
Field investigation, 现场调查0 m/ W) _4 r a4 l1 M }( B- [. \
Field survey, 现场调查
. c4 ?5 Z# R# j' a: T4 NFinite population, 有限总体
) m. r+ P. _8 G+ [7 d* LFinite-sample, 有限样本. D) @' @1 B2 b/ \! u3 B, B2 w
First derivative, 一阶导数 w% J$ V& t) Y/ b8 k/ G+ B0 Y1 ?
First principal component, 第一主成分
5 A k4 B4 ?6 A: ]6 j7 `% }- u; O EFirst quartile, 第一四分位数
) A1 ?4 }) `2 B, NFisher information, 费雪信息量, M( a$ ?" C) u! v* E
Fitted value, 拟合值
N; R. C; F$ g3 k( a5 JFitting a curve, 曲线拟合, p; W0 a; V( d
Fixed base, 定基. b: f& ~2 b& G1 F
Fluctuation, 随机起伏
( X* ^- r, e' F9 DForecast, 预测
$ f/ T2 v+ @) V! v3 C2 }Four fold table, 四格表
$ @- i9 Y4 a% v7 MFourth, 四分点
5 o% d7 D) B3 F0 C" { _3 GFraction blow, 左侧比率5 n b& a) D D) v" l! B! s3 f) _
Fractional error, 相对误差
6 _- t1 n- Y8 O+ ]) WFrequency, 频率1 f4 l Z, v5 J' k& |/ Q- w) G
Frequency polygon, 频数多边图3 q- A. F" B D1 b- s
Frontier point, 界限点
" w1 M0 p: Q9 [' I5 H6 fFunction relationship, 泛函关系4 _; P/ D p9 K% A8 L0 R
Gamma distribution, 伽玛分布
! P( Z8 ^2 C T0 q1 UGauss increment, 高斯增量
7 x! O4 ], `0 Z5 a; fGaussian distribution, 高斯分布/正态分布
/ Z6 U+ d- l' e9 eGauss-Newton increment, 高斯-牛顿增量' W: G3 T. Z; g8 w9 l
General census, 全面普查8 ~. u& c9 L. _9 z6 Y
GENLOG (Generalized liner models), 广义线性模型
( x+ r0 ]/ P% m7 x" ZGeometric mean, 几何平均数- q( Q: w1 n3 v* T
Gini's mean difference, 基尼均差
( X9 O2 A5 A3 P3 k; B xGLM (General liner models), 一般线性模型
+ f# z. k! |& B) ^7 vGoodness of fit, 拟和优度/配合度
$ v1 l/ r7 H$ b5 X. q& D, SGradient of determinant, 行列式的梯度2 W3 V9 W" N1 q+ J/ R+ W" x5 N
Graeco-Latin square, 希腊拉丁方+ m& Q1 ^3 t" W4 J
Grand mean, 总均值
; H3 @$ ~+ d7 d9 D( e' d0 UGross errors, 重大错误& z5 z$ ~$ j2 `
Gross-error sensitivity, 大错敏感度$ W( f6 h! ]1 F/ O# n+ q
Group averages, 分组平均1 ]) G+ G: b$ e: _, N; i
Grouped data, 分组资料# [, e7 l" e. F; K1 Q1 N8 ^4 G
Guessed mean, 假定平均数
2 E" k! T, f! RHalf-life, 半衰期
: g1 X# w/ D8 U4 BHampel M-estimators, 汉佩尔M估计量+ e( f4 n! z2 e8 l9 [2 `" z, r% E
Happenstance, 偶然事件: `) z8 ]: {. J/ y% V" B! Y
Harmonic mean, 调和均数
7 b- w5 e d: l- C/ |" d& HHazard function, 风险均数
+ f; u3 B; q5 H$ i* Y+ JHazard rate, 风险率
6 e. O! @* o, ZHeading, 标目 - U' C+ X$ r4 \. |) m; k
Heavy-tailed distribution, 重尾分布. l- M+ A K, d, ]
Hessian array, 海森立体阵
+ b6 B6 V# e, s' M: h6 SHeterogeneity, 不同质4 J, X4 I# E) s- T9 R
Heterogeneity of variance, 方差不齐 , m9 r* s, n, Y- O3 ^) J
Hierarchical classification, 组内分组! |6 a: ^/ k) ^' b9 n! A
Hierarchical clustering method, 系统聚类法# P3 g2 q# q3 p$ b6 Q n/ K
High-leverage point, 高杠杆率点/ N& Y$ q$ V, `0 P6 S2 h
HILOGLINEAR, 多维列联表的层次对数线性模型
/ [2 q+ p5 E: F, l+ gHinge, 折叶点
" Z: w: u$ ~# _4 T7 |2 oHistogram, 直方图
: \# G+ U4 E: p. gHistorical cohort study, 历史性队列研究
: g, } ^- G5 ~$ u) t* I! uHoles, 空洞4 t$ |1 ~9 D# k' j# G; H
HOMALS, 多重响应分析
" b/ D" S3 T, R7 j T1 ]3 Y# NHomogeneity of variance, 方差齐性
: M- {" l- k; c/ O! D/ THomogeneity test, 齐性检验# t1 U7 y8 ~% R; [% b
Huber M-estimators, 休伯M估计量
+ w/ ]' R/ Y/ ?+ z% e( G) ~Hyperbola, 双曲线
# d+ S% t, V! R3 d( a/ Y0 p5 jHypothesis testing, 假设检验
& G+ ~( n) t2 K& P) |# _7 qHypothetical universe, 假设总体/ h. m6 o; D9 b* Q
Impossible event, 不可能事件
u0 Q0 K2 Q* C0 M* MIndependence, 独立性; k7 Z, ^- L& N( ^3 P0 K
Independent variable, 自变量
. ?, q8 ?& p2 f* @5 {Index, 指标/指数
4 E" j9 f) U5 p' UIndirect standardization, 间接标准化法
& a$ k" s3 O. w% p+ R" UIndividual, 个体& W; F) F' |% m. |5 O$ C
Inference band, 推断带
! P. d5 s; n$ [& l6 T) x/ _5 M& JInfinite population, 无限总体
) Q! e* S! B8 `' T' V5 f" ^/ `: }Infinitely great, 无穷大
7 C% c# ^/ U* L3 g* GInfinitely small, 无穷小8 C* W$ N) w/ Z/ N* w3 P+ p
Influence curve, 影响曲线- b3 A" _) S* B7 i
Information capacity, 信息容量
! Q3 B5 S/ Z. n/ dInitial condition, 初始条件* @' I4 n3 M% k" z" ` k3 L6 ?
Initial estimate, 初始估计值/ s* q4 j7 C- o( H) k) \
Initial level, 最初水平+ Q4 P1 X: `, T/ f& O
Interaction, 交互作用- s8 [* d, Q+ z1 _
Interaction terms, 交互作用项9 ^. D2 c) p1 B, z4 j+ Q
Intercept, 截距
. K6 r) H1 b# d! yInterpolation, 内插法
5 X3 ?9 I% {9 sInterquartile range, 四分位距7 K; u9 s; F$ o! K6 J
Interval estimation, 区间估计
8 t% ]5 s3 n4 a: zIntervals of equal probability, 等概率区间
" [* T5 E. z4 B5 [% w" ^Intrinsic curvature, 固有曲率: W8 t/ m: b$ w- g1 T7 _
Invariance, 不变性
5 q/ o; o& i; @3 {: @; S& f1 Q7 `Inverse matrix, 逆矩阵
& M3 u6 \8 q- bInverse probability, 逆概率, ~3 G5 @1 x6 S5 v8 ]2 t$ U+ b- B
Inverse sine transformation, 反正弦变换
9 a6 J6 c6 o6 t: z9 v- ?; ZIteration, 迭代
% o( P' U9 m( TJacobian determinant, 雅可比行列式# i4 G: @; K! K& d6 q4 g3 p- ]$ H
Joint distribution function, 分布函数
! `! N4 t( o+ l Z* G' n* @Joint probability, 联合概率/ D5 q/ \. t( Q, v
Joint probability distribution, 联合概率分布, P& Q! A9 T7 p3 T1 N5 \# `
K means method, 逐步聚类法
" s. @9 d# y4 Y% ?. R) SKaplan-Meier, 评估事件的时间长度 & }: k0 r$ A. S
Kaplan-Merier chart, Kaplan-Merier图
( P4 N1 c1 ?/ n3 o7 m t( UKendall's rank correlation, Kendall等级相关5 \1 ^: ~9 |7 ~5 {2 B
Kinetic, 动力学 O7 [; Z. A! ~$ T9 l1 i
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验8 B: E5 v5 G/ h5 h8 M2 Q
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
6 R' ] K6 k3 J i0 B+ D$ Z$ pKurtosis, 峰度& ]1 K0 D' |* s7 N+ K8 Q b9 ]. n9 P
Lack of fit, 失拟
0 |* x, V: R& h" NLadder of powers, 幂阶梯3 \! o# I' O3 a- o, q
Lag, 滞后0 m% S; }4 U/ e" Y
Large sample, 大样本* w) d) R- `, P' G
Large sample test, 大样本检验! }, w' ^+ t( v' _5 W( N; j
Latin square, 拉丁方4 r3 w1 F- R" g, K6 ]5 q( { {
Latin square design, 拉丁方设计
: m% { Q# X2 _7 \. e; yLeakage, 泄漏
$ w9 R6 h1 K X+ tLeast favorable configuration, 最不利构形
; n7 ]5 } O7 J iLeast favorable distribution, 最不利分布/ R* n; G5 f: h% o6 ]
Least significant difference, 最小显著差法
8 H6 k- D |8 [9 O [* GLeast square method, 最小二乘法
1 N9 e6 M1 K4 f0 ^Least-absolute-residuals estimates, 最小绝对残差估计
h/ s) t# h6 V6 r; ]. H6 MLeast-absolute-residuals fit, 最小绝对残差拟合
* [) i( ]+ b5 F% H" U3 E! ?Least-absolute-residuals line, 最小绝对残差线! q1 K* J, ^2 [+ c6 b! c9 q" ]
Legend, 图例' D d7 g4 ?& J( [/ K% N* Z& L
L-estimator, L估计量3 N& m# [& m/ J' N: t+ P/ e3 C1 j6 P
L-estimator of location, 位置L估计量* a# V O& L0 H% t
L-estimator of scale, 尺度L估计量
5 C9 k1 r$ Y G2 g9 WLevel, 水平
9 R1 l% S9 M5 F3 t' P6 tLife expectance, 预期期望寿命
( i3 B* M, [* X' Q2 WLife table, 寿命表
% H1 k( h9 N/ K4 Z. K4 gLife table method, 生命表法: b. P# Q, I w: t7 C2 }+ U# V
Light-tailed distribution, 轻尾分布
* w& x9 B3 ?/ _" g+ G* F! z) Y8 ^Likelihood function, 似然函数
+ o" ~ c7 q; E1 F) |2 [Likelihood ratio, 似然比1 u! G. i/ h) {; [9 t% u1 n0 i5 m
line graph, 线图
0 O, R) y! S4 Z7 f WLinear correlation, 直线相关+ Z! X6 Y( p) f+ T* R3 w8 T
Linear equation, 线性方程9 q6 C8 c* G) d' v
Linear programming, 线性规划
! b/ e9 j( U W& h7 k# eLinear regression, 直线回归: l, [5 I1 b: t, R2 ]6 s% l
Linear Regression, 线性回归5 o4 W- z- T8 I d& T
Linear trend, 线性趋势
# j9 R) @9 m* g/ c& ZLoading, 载荷
* ^$ {* T: ]6 L) c3 r, Y O& i1 dLocation and scale equivariance, 位置尺度同变性5 E# G. w4 i; i1 x' N
Location equivariance, 位置同变性
; k7 |% o, `; NLocation invariance, 位置不变性1 w/ M9 i, `, f) o M- m
Location scale family, 位置尺度族7 U" X8 c& a8 ]7 I/ \: {$ `( I
Log rank test, 时序检验 : `: {( J7 z+ k$ q' m* ?$ N6 n" Y$ [
Logarithmic curve, 对数曲线
5 Q# I; o- N: [Logarithmic normal distribution, 对数正态分布) m! Q7 Y' E) _/ k$ r
Logarithmic scale, 对数尺度
( i0 n' N- A8 p/ }( q+ FLogarithmic transformation, 对数变换( N/ S1 U$ d' Z
Logic check, 逻辑检查
& g! P+ [% S% }& q, [7 F, }Logistic distribution, 逻辑斯特分布% f1 R* @% `* p d1 f" s \" t9 V
Logit transformation, Logit转换7 D: H; J7 `& E+ k4 \* [
LOGLINEAR, 多维列联表通用模型
* A7 R% M4 j/ S9 ELognormal distribution, 对数正态分布
( T5 a9 r7 k& @- X0 {Lost function, 损失函数, q Z( i( s2 r( }2 |9 D0 x
Low correlation, 低度相关6 s6 i( j J% \# W2 f/ @( n& m" y5 o/ z
Lower limit, 下限/ Z$ F a! a5 }" q9 v. M! y" T s8 g
Lowest-attained variance, 最小可达方差
2 B+ a' Y+ S9 rLSD, 最小显著差法的简称
% c4 E: b+ H4 R. @* d7 Q3 h! G; W+ G3 _Lurking variable, 潜在变量
. j+ @0 a' ~! CMain effect, 主效应
% o% N5 ]! l/ [: C6 @9 b M7 HMajor heading, 主辞标目1 t* k+ u2 } ?( B9 h
Marginal density function, 边缘密度函数
3 k! H3 O4 c& z5 I1 E# G. O# rMarginal probability, 边缘概率! ?+ q) h- ~1 J
Marginal probability distribution, 边缘概率分布7 O* h6 ]/ q' }. m5 N+ [) b
Matched data, 配对资料
8 @! x3 q. S1 v* }0 UMatched distribution, 匹配过分布' v! z) a' y2 P% R, `6 B" P3 R8 F9 j
Matching of distribution, 分布的匹配
9 S1 V1 ?# a8 T5 d1 Q, TMatching of transformation, 变换的匹配" {- D7 r; `6 y6 Q3 _! j2 h1 z
Mathematical expectation, 数学期望8 r% d; \/ H8 Q2 G
Mathematical model, 数学模型: h. x# n* N+ v/ A) s
Maximum L-estimator, 极大极小L 估计量
% o3 t% U" x) R- z! X3 O) [/ s; aMaximum likelihood method, 最大似然法4 a6 ?# L8 K! b' B" {
Mean, 均数; D0 B/ U) ^# j
Mean squares between groups, 组间均方5 J8 s I0 B# C" L/ ^
Mean squares within group, 组内均方: @6 l' v! o! I$ h D( D' b
Means (Compare means), 均值-均值比较
1 Z" x5 b9 o2 ]% ]Median, 中位数
# `* d$ Y# w; S3 o& A9 [+ q/ HMedian effective dose, 半数效量
1 T! H v* c2 h; E4 s$ B1 KMedian lethal dose, 半数致死量) \" }, U) q$ G9 Y2 f1 l2 Q
Median polish, 中位数平滑6 I7 ], O) Q$ w3 |
Median test, 中位数检验
, }$ e6 _* `" IMinimal sufficient statistic, 最小充分统计量$ ]! P7 k, F- L2 B' }8 K, U
Minimum distance estimation, 最小距离估计
( s( N2 ^ {8 L. Q8 L2 v6 vMinimum effective dose, 最小有效量
; w, y V1 d% h0 m! WMinimum lethal dose, 最小致死量
! Z+ Q: J9 ^6 s! R& Y6 ]Minimum variance estimator, 最小方差估计量/ {3 q! `2 `; V; B' i) G6 @
MINITAB, 统计软件包
0 U) Y1 w7 W7 m: sMinor heading, 宾词标目- F+ w( s+ O( d
Missing data, 缺失值
5 U9 U3 Y) [; W- Y0 h4 RModel specification, 模型的确定
+ |( C: m$ P M6 ^: c4 MModeling Statistics , 模型统计# A$ c& D+ M7 ~% A$ a: z Z
Models for outliers, 离群值模型
8 ?# x0 `0 }5 h; aModifying the model, 模型的修正
2 G1 Z1 W" i" i) \Modulus of continuity, 连续性模
* s) a+ D [$ D( I7 c* U: Q; nMorbidity, 发病率
4 L1 N3 c5 J" j7 D8 s& X* DMost favorable configuration, 最有利构形
- \" @: |: T' k% rMultidimensional Scaling (ASCAL), 多维尺度/多维标度7 J; V$ C+ {$ d* a& g6 g
Multinomial Logistic Regression , 多项逻辑斯蒂回归5 C% x$ N3 i4 P! ?3 Y( x) y
Multiple comparison, 多重比较, ` j% {) g6 }. A
Multiple correlation , 复相关
* B0 Z( H' r, p tMultiple covariance, 多元协方差
$ ~7 e/ h" \, q1 TMultiple linear regression, 多元线性回归/ R! `! L3 d5 g8 o, q5 X
Multiple response , 多重选项
2 z6 ?3 k. t a# k# |Multiple solutions, 多解
# Z( p( h3 f" q5 H vMultiplication theorem, 乘法定理& {6 Q/ {$ y5 G3 l. W5 `+ X5 C
Multiresponse, 多元响应
f7 F: Z. E9 W# oMulti-stage sampling, 多阶段抽样8 c" S6 m8 h& s( V$ G1 i7 P
Multivariate T distribution, 多元T分布
9 w5 S4 o; B- W" v1 FMutual exclusive, 互不相容
$ i* a2 q7 e2 Q) M+ N( s" oMutual independence, 互相独立, O% B$ y3 U9 ^
Natural boundary, 自然边界8 `% ]" [/ {- \3 V( @
Natural dead, 自然死亡
! P" m% ], E& o# G: XNatural zero, 自然零1 n2 g1 q0 |! J
Negative correlation, 负相关6 o6 G. c& v# g5 R" B( x
Negative linear correlation, 负线性相关
' y, w+ h% j, a0 \% i- LNegatively skewed, 负偏
( c% Y% Q) c* l/ X. hNewman-Keuls method, q检验
. U/ L* b: k/ GNK method, q检验 a. V9 ^% J+ \
No statistical significance, 无统计意义
0 \* T1 `# `' R3 T8 I. D/ xNominal variable, 名义变量
0 n8 X0 o3 j$ r1 K% H' J+ dNonconstancy of variability, 变异的非定常性2 P7 _1 A8 i( T, r, b
Nonlinear regression, 非线性相关 Q4 Y( d$ Y, `# \/ C$ _
Nonparametric statistics, 非参数统计1 D8 h5 J5 ~1 [7 f' x( ?
Nonparametric test, 非参数检验- M$ u2 K3 Y" A& h3 p. G6 y5 N
Nonparametric tests, 非参数检验
^9 @/ ?( o% DNormal deviate, 正态离差0 c& a5 `& z+ {6 z4 _) o6 |
Normal distribution, 正态分布
: Y6 X0 }$ \7 w: t+ ~Normal equation, 正规方程组
) S5 W. x; j$ D& z* S: `7 h2 n- KNormal ranges, 正常范围
: [" s( k6 {9 f6 J* l0 \5 oNormal value, 正常值9 x9 H) D* K* W4 A
Nuisance parameter, 多余参数/讨厌参数" d! @! e1 R2 T0 w* D0 }
Null hypothesis, 无效假设
( W$ U5 f0 t) y! K9 \* U0 j$ JNumerical variable, 数值变量* o2 `0 S5 M( ^& d% e: {% P7 a
Objective function, 目标函数9 ~/ Y y: X- l. Q) X1 X2 A' H
Observation unit, 观察单位2 `1 d3 M& s& X
Observed value, 观察值! m8 W: g1 ]8 K/ v- V% p: D
One sided test, 单侧检验3 D1 T5 O! p* j( X J1 M2 r% F
One-way analysis of variance, 单因素方差分析# m1 }% \. k6 i5 L# o2 c
Oneway ANOVA , 单因素方差分析
% w0 A9 N/ t9 dOpen sequential trial, 开放型序贯设计2 I$ O0 F1 d1 j2 X1 ^
Optrim, 优切尾
# ]) Q3 @4 Q, \$ s/ I& L1 \* LOptrim efficiency, 优切尾效率
' c# a% O0 U5 o8 fOrder statistics, 顺序统计量
: l0 o4 \& U% i! TOrdered categories, 有序分类
6 m) h! h: N1 g a- t$ p! eOrdinal logistic regression , 序数逻辑斯蒂回归
$ _7 p2 ?6 h+ o' ^Ordinal variable, 有序变量; \% x6 l# z1 y: [2 W" D$ j
Orthogonal basis, 正交基6 W8 z+ z/ v9 e4 G( C9 s
Orthogonal design, 正交试验设计+ c# k; W( _2 n9 K, F
Orthogonality conditions, 正交条件
; n7 m# q4 ~9 a# |3 X4 P( xORTHOPLAN, 正交设计 5 @ K! V9 {( P
Outlier cutoffs, 离群值截断点
7 o; t3 h7 _* ^3 b; {. ]; IOutliers, 极端值) c7 ~8 h! v# ]
OVERALS , 多组变量的非线性正规相关
# Z) R: o: G6 `5 R3 L; XOvershoot, 迭代过度4 a7 ]& G! p- ]! o8 r6 s
Paired design, 配对设计1 I0 K2 f# s+ Z' z9 s; G& S9 J
Paired sample, 配对样本- l3 Q1 B$ e" y' j. D
Pairwise slopes, 成对斜率
b, }* k& b2 Q( X8 B \/ UParabola, 抛物线
, P/ b# i+ }0 s2 t6 b- L; pParallel tests, 平行试验
# D, f7 ?: y3 x. A: f8 |Parameter, 参数1 r- ?& c& E! i: U" q
Parametric statistics, 参数统计3 T% G t+ Y$ l; u2 a
Parametric test, 参数检验1 V1 v2 d2 }/ T
Partial correlation, 偏相关
; ]) E6 H& y9 H: Z1 B" |7 \Partial regression, 偏回归
$ W1 s- Z# z& V _2 ~4 LPartial sorting, 偏排序
2 @+ i k2 x0 D p+ q1 `! F9 cPartials residuals, 偏残差6 x- N9 r! R% z5 [! x4 ^
Pattern, 模式8 D% k3 {7 | K4 Q' O2 I: J
Pearson curves, 皮尔逊曲线
( e$ E( _/ H w2 M. P8 ?" @Peeling, 退层1 n4 j% Y6 a, w, E* [1 F3 P
Percent bar graph, 百分条形图
. }6 g. z0 B, {( u: X, T5 NPercentage, 百分比% k2 B+ C$ Y/ r- b
Percentile, 百分位数
3 B( N" A2 E8 }% |( P1 u* ~Percentile curves, 百分位曲线: [3 k: t) h2 } [5 S6 b, G
Periodicity, 周期性
8 x8 M/ v5 z, {# T* ?" BPermutation, 排列# ~$ v& G1 Z# d# t4 _
P-estimator, P估计量
1 D- c9 A. ^# F. W& n* A! sPie graph, 饼图
, _ s q; x% y4 N% F% n4 n+ L9 rPitman estimator, 皮特曼估计量# R w, C7 h& z3 f
Pivot, 枢轴量1 r& m% |( M9 \' Y* G% u; U
Planar, 平坦. W6 P8 o0 {. e
Planar assumption, 平面的假设
+ S5 l o. Q0 IPLANCARDS, 生成试验的计划卡
- e" | k; O2 \' WPoint estimation, 点估计4 o. E& ^( F4 |! n/ h! g
Poisson distribution, 泊松分布' M1 ^* [+ [ ?! i7 x/ N7 w
Polishing, 平滑
6 L ?, ^3 w$ \$ r: [: `; `9 WPolled standard deviation, 合并标准差* V2 [3 y. \2 ~
Polled variance, 合并方差
' q0 x' J5 g& x$ gPolygon, 多边图- y; _& u8 }, ^& j& T; F+ E$ A
Polynomial, 多项式
! P+ G o2 j$ T3 r8 Q; U9 APolynomial curve, 多项式曲线- ?- m8 ^" d; E# X0 ~' S* c2 [: R
Population, 总体
, ~3 _: h8 s5 @3 I/ MPopulation attributable risk, 人群归因危险度
4 \$ M1 e# v7 `2 [Positive correlation, 正相关8 W- k5 a) U+ X
Positively skewed, 正偏" E- R: l' K7 @3 h4 f y
Posterior distribution, 后验分布
* s Y0 q6 `6 U& NPower of a test, 检验效能
# L S7 Q1 f6 fPrecision, 精密度
" D# n4 z3 p0 S, z# U% XPredicted value, 预测值
+ N$ d5 T0 A4 f" s9 y. {Preliminary analysis, 预备性分析; l; @5 X3 O2 Y% R7 b* P
Principal component analysis, 主成分分析
( e' v% t: ?5 n% ePrior distribution, 先验分布
+ t* F p3 E2 C b4 ?, \6 JPrior probability, 先验概率
+ Q4 K; m( x, }: s; JProbabilistic model, 概率模型
y# _! P, N% c$ |% H2 N, Pprobability, 概率
/ U1 s: D( s% c! ~9 I6 o& P& ~4 pProbability density, 概率密度1 v5 N. m4 j q" N
Product moment, 乘积矩/协方差4 h; Z& s9 }/ i+ L7 v
Profile trace, 截面迹图
1 J: t3 m I9 v/ c) rProportion, 比/构成比
. B1 V! B) Y2 ~4 V$ |7 wProportion allocation in stratified random sampling, 按比例分层随机抽样$ M# k. n( P/ K$ X
Proportionate, 成比例
9 t5 t+ N8 M) Z$ QProportionate sub-class numbers, 成比例次级组含量
+ b) ]5 X5 m/ x2 H. l* KProspective study, 前瞻性调查
: e/ e) X% q' a5 l* ~& {# zProximities, 亲近性
+ N2 F. w3 E+ d: i0 W% W9 z8 cPseudo F test, 近似F检验
! H) y! ]5 B% p& ~+ z; y: U6 }Pseudo model, 近似模型, \7 `8 H2 J+ @0 c( L. m6 U
Pseudosigma, 伪标准差
5 L$ [' I2 m, O# v$ qPurposive sampling, 有目的抽样
' v5 G5 F \) `4 X9 VQR decomposition, QR分解" U9 W, @+ U. I @" v& @
Quadratic approximation, 二次近似
8 C: i& j1 _: e5 l9 h6 l! a- wQualitative classification, 属性分类
( `5 @# m4 w; Q9 d( H" o/ OQualitative method, 定性方法/ |+ ?+ A1 Y4 m! w, p
Quantile-quantile plot, 分位数-分位数图/Q-Q图) e% }( }$ r; T7 ?8 n P
Quantitative analysis, 定量分析; j E' H1 s5 w: [1 U
Quartile, 四分位数
0 M6 f* c! j8 }. Q- D& C( |6 zQuick Cluster, 快速聚类' ]# A) l) W% c6 ^& a
Radix sort, 基数排序
( l/ r% @# V" k" C" W2 kRandom allocation, 随机化分组
8 a7 N" M4 ]2 NRandom blocks design, 随机区组设计
& j9 r; o. \% m& V7 c4 p3 Z/ MRandom event, 随机事件
3 Z2 F. ?; h; XRandomization, 随机化' q x2 g+ F7 Y/ N3 ?
Range, 极差/全距' i$ y9 d+ F" d/ Q" c
Rank correlation, 等级相关0 V O' Z2 z3 n1 ~1 ^: q
Rank sum test, 秩和检验0 R" F0 U" q8 G' [) @* ^$ D
Rank test, 秩检验
W X0 W$ h+ y( @7 C8 U& gRanked data, 等级资料6 _# u ~, P% N
Rate, 比率, u( C2 q6 b- O" I2 _
Ratio, 比例
1 c) Q* B: ?- ~Raw data, 原始资料
9 o* U$ K. f; [2 i. }" sRaw residual, 原始残差3 }# l; p3 G$ `
Rayleigh's test, 雷氏检验
9 T- D4 B% ?( ?3 v2 S" SRayleigh's Z, 雷氏Z值 - D7 k I( _$ s6 B- W( B& P
Reciprocal, 倒数6 f: L6 _* k8 m9 c# Q% w
Reciprocal transformation, 倒数变换0 u% h% a5 y7 h5 F
Recording, 记录
; y1 O( _: m. S3 a3 iRedescending estimators, 回降估计量; m! r( K5 _( W5 V
Reducing dimensions, 降维
* B; F: h; t3 IRe-expression, 重新表达
1 {* Z9 U0 U6 _Reference set, 标准组$ e3 @5 v/ O- V' d
Region of acceptance, 接受域8 }/ n9 M0 ^% u' S+ W8 h) C
Regression coefficient, 回归系数% c& X0 {8 B6 i* w3 W; g$ @
Regression sum of square, 回归平方和
7 E! K3 m X7 ?8 D# Z' x; E/ ]+ G7 iRejection point, 拒绝点
3 q7 t$ r% K1 p- e6 A L! {Relative dispersion, 相对离散度; f: M& `0 G! X# R' I" G3 P
Relative number, 相对数2 b: ~) L1 m/ C) \
Reliability, 可靠性
, ~; V3 G* y9 k& U: _/ q U ~Reparametrization, 重新设置参数: N" a9 y* ?" ?/ Z! j2 \* L
Replication, 重复, n% B0 \9 n$ s) U6 ]# t9 I+ P# s: t
Report Summaries, 报告摘要
! ~1 p3 _$ c1 o" P, a6 _Residual sum of square, 剩余平方和0 \2 T7 `& [- K! K% i7 [+ a
Resistance, 耐抗性
u( g* N7 \+ s$ U. X! D# ~& ZResistant line, 耐抗线
0 q) Z7 t6 ^7 wResistant technique, 耐抗技术" B' m/ X% ^ Y3 x' Z
R-estimator of location, 位置R估计量" G0 o( b+ d) L# ]8 v
R-estimator of scale, 尺度R估计量
# R# S9 m# y$ Q& W0 Q( RRetrospective study, 回顾性调查
# e# W; U( p8 I3 GRidge trace, 岭迹
4 V5 d* E8 L' T" M* f- gRidit analysis, Ridit分析
7 ^% e" U0 i) S- j& z2 ~7 gRotation, 旋转0 ^) i% U) m- f% S5 A
Rounding, 舍入
: I3 d$ L I z$ z i2 |Row, 行# p6 y" c$ D% @
Row effects, 行效应
5 u/ u3 b( t. R5 `& t& K5 p/ s5 h, RRow factor, 行因素2 U' r5 A6 m+ A4 w
RXC table, RXC表
$ Z/ X' q2 E( c6 s2 kSample, 样本 Q; p6 G% e, D6 u
Sample regression coefficient, 样本回归系数
% d+ M8 h! ` F6 sSample size, 样本量0 I4 Y$ |6 E1 f+ [+ a3 m
Sample standard deviation, 样本标准差 @" O0 F9 s! ?" K
Sampling error, 抽样误差
, v2 U# O9 _* R( Y* GSAS(Statistical analysis system ), SAS统计软件包2 K: d! q1 Y' k
Scale, 尺度/量表" Z' K9 O4 |9 E/ c
Scatter diagram, 散点图
4 W e7 M" T; G% ^' z3 gSchematic plot, 示意图/简图3 B3 N/ [/ q6 i- n! O4 G. C
Score test, 计分检验
* F# F: y1 o! a% b: iScreening, 筛检
, w/ H1 |/ \4 wSEASON, 季节分析 ( j3 R- |; I5 z' f
Second derivative, 二阶导数9 D M" Z0 y* ?
Second principal component, 第二主成分
6 t' F; I5 S0 GSEM (Structural equation modeling), 结构化方程模型
, b" I1 r+ D: [7 G3 p- YSemi-logarithmic graph, 半对数图" v- E! _! S } X# k- S0 s4 N# H& y# b
Semi-logarithmic paper, 半对数格纸# G {4 y& _; {3 _- z4 U1 L' g
Sensitivity curve, 敏感度曲线
1 T7 @6 `/ n9 \9 FSequential analysis, 贯序分析$ X, Q$ W& c6 J- u) |- o5 {
Sequential data set, 顺序数据集
' j4 F( \% I# ~! T; USequential design, 贯序设计
8 C0 W; Q6 U; F5 w7 ~0 m* Z; CSequential method, 贯序法9 W# k' T2 F% V$ U
Sequential test, 贯序检验法; v5 i- H7 p; w/ X8 E
Serial tests, 系列试验' A+ I$ j) o$ \9 O
Short-cut method, 简捷法 1 L/ m" a" a) ~9 p' J
Sigmoid curve, S形曲线
3 I. Q. ~$ z& r* ?6 PSign function, 正负号函数
( Q, d. w( A, |" K9 h, X' U/ L* i2 KSign test, 符号检验
; r2 x5 k+ x; S8 i: QSigned rank, 符号秩0 a5 D4 E; l+ K; O7 d1 g; b5 p
Significance test, 显著性检验4 y/ T- A0 `6 ?5 e+ K' q
Significant figure, 有效数字
) c( `: s9 X! n, ]* q( n) SSimple cluster sampling, 简单整群抽样" ?& n/ J% Z* K3 [% ^2 @) f
Simple correlation, 简单相关1 O. ?7 ?7 P9 A x9 e/ G7 F
Simple random sampling, 简单随机抽样0 e" ^, p6 H9 Q+ B% H+ X% Z
Simple regression, 简单回归
# }% l( G% U# W: Usimple table, 简单表
5 \# p _" g: E; t( e" G* n0 x) p. Z" lSine estimator, 正弦估计量# d: a1 `# E( a3 q$ K7 K/ G- }
Single-valued estimate, 单值估计
# O9 E' M" w7 A' B) P1 ?$ `2 SSingular matrix, 奇异矩阵) i3 W2 e: k) y$ T$ X: Z1 G
Skewed distribution, 偏斜分布0 O& d, |% |8 s% J
Skewness, 偏度7 x& b- X! P! `( d6 F
Slash distribution, 斜线分布
* s* x) y; u7 Z$ w4 D1 u/ ASlope, 斜率7 |" V& w, F' s) Z% }
Smirnov test, 斯米尔诺夫检验1 @, _( e) P9 [
Source of variation, 变异来源6 e1 ^' c* F( J
Spearman rank correlation, 斯皮尔曼等级相关# \! D( ?7 j! W5 G: H
Specific factor, 特殊因子
$ Y$ w' ^ z8 l. ]" ESpecific factor variance, 特殊因子方差3 Q- h! G& O2 ~6 J( O: G% Y
Spectra , 频谱
$ y. K8 ^& ^' ?7 c7 j" J1 {- X6 _. G8 ISpherical distribution, 球型正态分布
5 A9 o' G' D% s8 B3 j( o1 s" {Spread, 展布* z6 \8 T6 A5 V9 m8 I
SPSS(Statistical package for the social science), SPSS统计软件包. A2 `) O/ p" j6 w& u3 ]8 ?, n
Spurious correlation, 假性相关
! B1 C- @7 ?4 b/ G0 ]: iSquare root transformation, 平方根变换
* X* f3 l [: F8 H9 t( }Stabilizing variance, 稳定方差
) z* w6 A" b% QStandard deviation, 标准差+ j- h2 I9 W9 [) J9 C. u( u
Standard error, 标准误1 I/ |" O. o. [; O0 E% ^2 G
Standard error of difference, 差别的标准误; X6 N w, ~- w ~' H
Standard error of estimate, 标准估计误差& H% r) t* }1 l' d& k
Standard error of rate, 率的标准误# z% ^) u4 U7 X+ b; P
Standard normal distribution, 标准正态分布
7 [) M! C% m" k( {+ N4 {) RStandardization, 标准化
6 M2 B. {2 I: C7 H2 I7 oStarting value, 起始值! C- K# D0 o- {8 w
Statistic, 统计量! x p5 J. W% a( T: U, s; |# g5 R
Statistical control, 统计控制) R' z9 {1 J" o) x" D" U
Statistical graph, 统计图
- @2 W9 u+ t9 D- T1 rStatistical inference, 统计推断
: ?, Y) q2 Q1 n1 B, f$ F% OStatistical table, 统计表
2 L# ^9 t' y1 |$ ^" i8 {Steepest descent, 最速下降法
+ d+ ~- V6 ^, |: r3 w% j) f2 {Stem and leaf display, 茎叶图; _6 W9 P3 R( O5 u) V
Step factor, 步长因子/ g7 F; M3 a1 t" F2 D
Stepwise regression, 逐步回归$ }% S k# p8 N: k4 ?
Storage, 存6 \3 P7 ]2 J4 M; P* k7 `2 ~* `. Y
Strata, 层（复数）
+ U% G( ^7 f" o) xStratified sampling, 分层抽样, \! r, |% N( N! @3 b ?' C0 a
Stratified sampling, 分层抽样
) J- B1 Y1 D2 q+ k* k! G" sStrength, 强度& }) ^( s- b7 u z
Stringency, 严密性) S5 B! G# y" A; f% r4 l# D
Structural relationship, 结构关系
3 a' A% H# ]/ Q2 Q& H- zStudentized residual, 学生化残差/t化残差
/ P$ U" P$ T$ @# hSub-class numbers, 次级组含量# Q$ y' j( r9 i* o
Subdividing, 分割- P- l. w2 U2 u. X" u! c
Sufficient statistic, 充分统计量
0 v1 c1 k2 A+ X& h. C" j# x; bSum of products, 积和9 b- u2 x2 v+ h1 v" h
Sum of squares, 离差平方和
8 r, @. l: D4 f% t6 eSum of squares about regression, 回归平方和2 W3 r% s3 W: F' m2 E9 P5 ~/ @* l
Sum of squares between groups, 组间平方和
8 s( ?5 M3 m- m, S- NSum of squares of partial regression, 偏回归平方和$ U# Z& N: t( q# a/ A( ]1 y0 [8 w& ]5 F- x
Sure event, 必然事件. g# h3 v3 k, y v* k9 L! l
Survey, 调查
# V) Q! I' k; _' p( t3 Q. s8 wSurvival, 生存分析
7 Y* K1 `1 a$ @4 Q+ LSurvival rate, 生存率- e1 q4 k8 |% m. j9 b5 ^
Suspended root gram, 悬吊根图# v5 W2 C9 A4 @4 P6 Z
Symmetry, 对称
, ^" F# o* | K+ J4 DSystematic error, 系统误差$ o8 F; l) z) a* y: z( a3 b' B" M1 i
Systematic sampling, 系统抽样; D& j" u, Q2 {. {/ \. R! p! `) S
Tags, 标签4 J# ^ m7 [( \! k$ I
Tail area, 尾部面积
^* n4 [6 k4 q) D& _; J+ kTail length, 尾长
' E7 X# g+ F/ J* p# n. N. E3 R+ YTail weight, 尾重: J' m. M! A+ @7 V$ i
Tangent line, 切线
( ~8 ^% ^( Y6 Q* zTarget distribution, 目标分布2 V1 y% R2 G" z; U: q" }
Taylor series, 泰勒级数! f) A( K2 _& V$ Q
Tendency of dispersion, 离散趋势. h9 L; w6 I0 z
Testing of hypotheses, 假设检验
6 [& e# [0 [& Y2 z7 Z9 s3 v+ ? UTheoretical frequency, 理论频数
5 w' d) ~) X& d9 u7 d6 [; ^Time series, 时间序列% P) |0 E6 J! R1 q5 Q( ]
Tolerance interval, 容忍区间8 ?4 V' J* f7 ~/ J* C
Tolerance lower limit, 容忍下限
, _) {) G% N8 ` o9 `9 K/ s( w/ i+ R% W9 gTolerance upper limit, 容忍上限7 ?" W" n2 ^4 v) X
Torsion, 扰率
0 F# _3 j9 W2 k) }Total sum of square, 总平方和
; J+ J& b5 J1 i$ t$ O \Total variation, 总变异! c) H* I, n; c5 j
Transformation, 转换6 j3 n3 v0 k- n: i9 e
Treatment, 处理' r4 N9 }1 g* W }! Z4 ?+ j
Trend, 趋势
: ]5 a9 e* p, I8 R7 N CTrend of percentage, 百分比趋势
: |8 ?) A) y/ X9 a3 V0 A0 M% {Trial, 试验0 `- ~1 ~2 w: Q' C" F, W, q* s
Trial and error method, 试错法
2 ^9 a* Q0 Q5 \% F: Z2 mTuning constant, 细调常数9 y8 N; V; k% R6 [9 X7 ]+ _
Two sided test, 双向检验
T3 @6 Q2 ~# e+ R/ [& lTwo-stage least squares, 二阶最小平方3 g7 \ w* z2 q) D7 a" `
Two-stage sampling, 二阶段抽样+ v( Q& j$ L; |8 T3 c
Two-tailed test, 双侧检验/ T2 E6 ~' `' f
Two-way analysis of variance, 双因素方差分析( f. X* G# m5 e2 f2 i* p
Two-way table, 双向表7 y/ R, h, ?7 T0 F5 |
Type I error, 一类错误/α错误/ P. t- r3 t, v; t3 q2 \' q
Type II error, 二类错误/β错误
6 ?/ s, t( T. }UMVU, 方差一致最小无偏估计简称
% N3 d2 f/ [. wUnbiased estimate, 无偏估计
6 P, F N3 N' C3 d0 ~7 c& w0 g; G2 dUnconstrained nonlinear regression , 无约束非线性回归
, x: {& i+ T& UUnequal subclass number, 不等次级组含量
5 m/ _5 A6 d w- n" fUngrouped data, 不分组资料( _* |: Z3 W+ ^4 a$ z) m/ }
Uniform coordinate, 均匀坐标: y6 M. [$ A @- Y: Y, W3 x
Uniform distribution, 均匀分布
9 J# s7 n3 }$ e7 m5 h# [Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
( h# y" i( D @ YUnit, 单元
% r$ T- V1 V; s9 `8 A4 rUnordered categories, 无序分类" ~9 N$ b6 q! {$ r
Upper limit, 上限7 H" M0 ^* V- q/ L
Upward rank, 升秩
% ~1 @- R) W$ a: jVague concept, 模糊概念$ @) i& `/ i6 i
Validity, 有效性
6 ]# W D" O" z8 G- @2 ?VARCOMP (Variance component estimation), 方差元素估计' N8 v! g, f6 m- t1 J* z
Variability, 变异性5 [0 u F, @8 j
Variable, 变量
! @) ^$ a! `3 S- t& S' A4 Q" k/ ~Variance, 方差; _& p! C1 f y+ A4 ]3 N: b/ m
Variation, 变异
5 s$ F/ i* |$ m' z3 P8 p4 CVarimax orthogonal rotation, 方差最大正交旋转, W% z, ^+ F" O0 c0 Z" H2 |8 ^
Volume of distribution, 容积: H4 D& b; x" I0 e
W test, W检验
{% F4 i' _2 H8 a: T" ]4 b" PWeibull distribution, 威布尔分布
2 V6 r' h- O( q* m5 lWeight, 权数
# S1 q; ?# i. E! RWeighted Chi-square test, 加权卡方检验/Cochran检验' L1 Y( z: b6 W* Z2 r, `0 ~
Weighted linear regression method, 加权直线回归+ ^( o% B) X+ L8 t! E. V
Weighted mean, 加权平均数
: b+ j8 T# q4 @, L. S% x& J# iWeighted mean square, 加权平均方差
+ {1 l' f& B0 Y; oWeighted sum of square, 加权平方和
6 M! W1 o" f* \/ ]2 k7 u4 K% ]9 UWeighting coefficient, 权重系数
$ k: K4 r; u8 W2 p kWeighting method, 加权法 & \# ^! d2 x7 P
W-estimation, W估计量6 B @8 R$ f3 ?( {5 b z6 J5 I+ k
W-estimation of location, 位置W估计量
& `% T( `$ ?. W, R5 I3 fWidth, 宽度. P* Z1 \+ F/ B- J; ^+ o
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
8 U: d1 d. n: E# V# a6 p% R1 SWild point, 野点/狂点8 }" a; i& ]9 |# Y* Y' a# A' L
Wild value, 野值/狂值
4 L4 |! O( ]. OWinsorized mean, 缩尾均值
. M- c- T# H" f6 f; G4 fWithdraw, 失访
: i/ _+ x1 @* n! AYouden's index, 尤登指数
5 u0 c7 Q+ I% @6 Z0 s, t7 z; s4 _Z test, Z检验" L+ l% _) p4 i! u( X0 |
Zero correlation, 零相关
a: E% _% D h. Z* ?2 d4 e4 QZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
