|
|
Absolute deviation, 绝对离差
$ a1 ]6 X+ l( R3 q1 oAbsolute number, 绝对数9 m7 C, f% J Y- M. g% y$ f
Absolute residuals, 绝对残差1 R$ I; ~2 M- c; ~ n
Acceleration array, 加速度立体阵 A7 ?, E6 D( E& }. j7 Q0 P
Acceleration in an arbitrary direction, 任意方向上的加速度
. |( @# d i- U; f) _7 U- J3 s& {Acceleration normal, 法向加速度
: g! Z3 k; ^- c% b& ~; ^; ~Acceleration space dimension, 加速度空间的维数
) x* a( t7 G, N0 q" A4 h& @Acceleration tangential, 切向加速度
# @" `2 ^. a1 v7 R' B: k; kAcceleration vector, 加速度向量- E `! j3 f# G/ x# D8 S
Acceptable hypothesis, 可接受假设
( w+ N; R( p" cAccumulation, 累积
/ y# q8 f: E; o5 aAccuracy, 准确度6 E& y: D7 {1 t. r! x& [* \) |
Actual frequency, 实际频数
/ d0 n5 i6 O+ D( @ sAdaptive estimator, 自适应估计量) p0 }: J/ A+ w0 y& |1 o7 H) `
Addition, 相加6 u) I( Z- F+ A$ }1 j( }/ s% D% k6 i8 t
Addition theorem, 加法定理
7 j8 l7 K; L! p- ]( lAdditivity, 可加性9 ^, W1 P) \ X+ O J! O
Adjusted rate, 调整率. s4 M8 v- I" b9 Z
Adjusted value, 校正值
' L4 k `" P9 D6 pAdmissible error, 容许误差
1 D1 e$ e' U$ U+ ^1 l8 vAggregation, 聚集性3 f) v$ G+ [% W1 T5 d
Alternative hypothesis, 备择假设
8 F7 N0 r2 Q7 d- |Among groups, 组间
$ h. B7 P0 G; B8 T9 |+ l3 @7 p( g+ iAmounts, 总量
8 h# Y) z; Z ^: J, MAnalysis of correlation, 相关分析
, o }+ S: M$ JAnalysis of covariance, 协方差分析( q+ F# d6 I/ ^5 Z" |
Analysis of regression, 回归分析: W; H6 |# n; s% w$ m7 y# V
Analysis of time series, 时间序列分析
, {: V0 l. c& H j; mAnalysis of variance, 方差分析 L. Q% t2 I4 l5 X! h" D4 J
Angular transformation, 角转换4 D2 D. _, l# b/ [& S Z8 ?- K& M
ANOVA （analysis of variance）, 方差分析
. J- e: C8 J/ t: W5 AANOVA Models, 方差分析模型
" V) o, j# y" rArcing, 弧/弧旋( A, z9 q! K: m' z* m1 Z8 U* p
Arcsine transformation, 反正弦变换* l; J+ x' n: W, J9 H C4 ]! @
Area under the curve, 曲线面积
- e- h- P0 }6 r& U: V& GAREG , 评估从一个时间点到下一个时间点回归相关时的误差 6 n+ s- v. a/ [' r+ F
ARIMA, 季节和非季节性单变量模型的极大似然估计 ; F6 k/ I0 m- D- \9 A6 L4 n
Arithmetic grid paper, 算术格纸
' O5 b( L1 b$ e- F lArithmetic mean, 算术平均数$ ^0 L$ G8 m$ J) K$ w
Arrhenius relation, 艾恩尼斯关系
1 \% d9 K1 V( A$ lAssessing fit, 拟合的评估5 m) C! |( z; ^3 }' @
Associative laws, 结合律% M- P- `, p% M+ e
Asymmetric distribution, 非对称分布+ I: }. K0 |) b9 n! V) E0 z% Y5 M }
Asymptotic bias, 渐近偏倚% L% O/ z' a) z, X; |
Asymptotic efficiency, 渐近效率7 k: o" f9 ?5 E$ p
Asymptotic variance, 渐近方差8 P4 m+ p' c) V
Attributable risk, 归因危险度
) {: ]" [ h2 dAttribute data, 属性资料2 {: V5 |& x. u' ^& J9 ?6 \9 o
Attribution, 属性( t9 N4 S0 h0 j: q t7 H, G: Z
Autocorrelation, 自相关
* x- r7 a! X1 l& X! h& ]/ H" n0 G+ n# HAutocorrelation of residuals, 残差的自相关: v" t7 ]9 n( z3 |; e+ j
Average, 平均数( d% E+ n4 Q. t
Average confidence interval length, 平均置信区间长度
9 A M; X4 @, |+ e$ Z% `7 `Average growth rate, 平均增长率: }' {) I, z( k {8 H2 K# x
Bar chart, 条形图+ t$ \% Q: z3 B% f6 Z
Bar graph, 条形图& t6 D+ _4 D& w- I
Base period, 基期/ u Q6 B S: F4 I6 U" T/ R, m
Bayes' theorem , Bayes定理
) V) Y( X* A# p' V, C0 RBell-shaped curve, 钟形曲线
, z: @) F$ p7 M7 W- jBernoulli distribution, 伯努力分布
3 A+ b4 F- E! S2 x8 o8 R ]Best-trim estimator, 最好切尾估计量1 R/ w% K/ T! P+ M
Bias, 偏性" ^ T X5 ]9 q$ J# O
Binary logistic regression, 二元逻辑斯蒂回归/ a; g j: a5 {4 }* s# B
Binomial distribution, 二项分布
" P- ^ L- J0 J3 S7 f# kBisquare, 双平方
; M4 ~% y7 m& ]% CBivariate Correlate, 二变量相关2 |+ \/ e/ y' D
Bivariate normal distribution, 双变量正态分布
; ~4 p' ^% h0 y( MBivariate normal population, 双变量正态总体
: A# U; k' ~* @. H+ y9 JBiweight interval, 双权区间
- D+ f0 Z+ X8 b3 hBiweight M-estimator, 双权M估计量
. |+ G& a7 y; vBlock, 区组/配伍组% t7 ~4 G7 `# a$ K
BMDP(Biomedical computer programs), BMDP统计软件包# J4 q: O- t" V0 y; }' g
Boxplots, 箱线图/箱尾图
0 w- O o2 H5 d- yBreakdown bound, 崩溃界/崩溃点
( w9 Y$ U: h& U9 W% k+ I# KCanonical correlation, 典型相关
* e" E Z3 g a% `: A" o, ~Caption, 纵标目2 S3 ]8 u6 i" N, ]0 I* H
Case-control study, 病例对照研究
+ _4 n2 t) c+ I% D5 t, {% {" J# ICategorical variable, 分类变量
3 m, b: `8 V0 h& yCatenary, 悬链线* m% \, q! W8 R1 S* u$ }
Cauchy distribution, 柯西分布
3 J4 M* J/ k! [! ?4 R7 c* A* o- oCause-and-effect relationship, 因果关系
4 b4 f, X9 i2 B) ~Cell, 单元3 M0 p9 N9 t- j# A4 b
Censoring, 终检- ?+ w0 p5 L# ]% O9 T- }8 B
Center of symmetry, 对称中心# t3 ~! P) t( Q* D# E) o! g
Centering and scaling, 中心化和定标
: Y) ], s3 p m0 m9 tCentral tendency, 集中趋势
: w' o* ^+ v2 P& CCentral value, 中心值
6 ]4 T7 ]0 m4 D+ [CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测* T$ @& o+ d$ X7 }7 |
Chance, 机遇
! C/ S0 x, E) H& z4 H# ~& VChance error, 随机误差
8 s1 N, Z: }+ Z6 x$ B8 s9 CChance variable, 随机变量
! T8 m/ K4 X w) V9 t+ BCharacteristic equation, 特征方程0 k; U* O0 f& V9 E( B
Characteristic root, 特征根2 `. b B; f( b9 V: u6 ?# P
Characteristic vector, 特征向量
* r! O; k3 B8 ]' Y4 IChebshev criterion of fit, 拟合的切比雪夫准则
4 h# Z/ k4 k7 ^+ R* ?) dChernoff faces, 切尔诺夫脸谱图0 a; f, f: c* }$ m9 K
Chi-square test, 卡方检验/χ2检验2 p8 n6 E7 U6 p s' G. V: U9 i
Choleskey decomposition, 乔洛斯基分解, Q/ \$ d) U1 `9 O% A& t$ l- ?
Circle chart, 圆图 ( e0 R9 h' v/ t' \9 J8 y2 A
Class interval, 组距
7 i9 F; ~+ G$ o5 pClass mid-value, 组中值
- ^4 s- L1 x( P3 B& tClass upper limit, 组上限4 B; W0 k: k" h. e+ i1 f
Classified variable, 分类变量0 @( V+ o+ H3 g) ~- Z
Cluster analysis, 聚类分析2 m* n3 Y: {9 H! F P( T
Cluster sampling, 整群抽样
! i9 @( c; r- \1 y/ \0 @+ wCode, 代码3 k+ y/ G0 L5 q0 O6 e& m k3 _5 L
Coded data, 编码数据
: T; l+ m" [3 xCoding, 编码! E/ G) p3 a3 a9 ]
Coefficient of contingency, 列联系数. f; t- N! \' t: g( B' ]
Coefficient of determination, 决定系数! z$ k2 s; o1 ?( L9 M3 F
Coefficient of multiple correlation, 多重相关系数
?3 z1 i+ d1 f0 S5 R% |Coefficient of partial correlation, 偏相关系数# i/ a" [5 ^# g% i4 C' K8 ]
Coefficient of production-moment correlation, 积差相关系数
4 m/ M( h9 s" p$ c" fCoefficient of rank correlation, 等级相关系数* A A- @* n. C; y
Coefficient of regression, 回归系数# U Q" U# x9 A$ D# z
Coefficient of skewness, 偏度系数( ~( _( H( p; i9 _3 f
Coefficient of variation, 变异系数
" W8 |" C: m2 v0 e( C; MCohort study, 队列研究$ y! W+ f7 f- z& u! d
Column, 列
% R7 L! K" O7 y( p& D% i1 p* aColumn effect, 列效应8 _0 w( S1 v. Y" b) }
Column factor, 列因素
* v; g, U. v/ h% O5 `1 BCombination pool, 合并0 c3 e- f9 ^8 A, ^$ c
Combinative table, 组合表
" U& d6 S3 r9 c% C3 j# m0 qCommon factor, 共性因子
- V0 B3 r+ |! o& h q& ]! ?. e( G; [- PCommon regression coefficient, 公共回归系数8 q( d J9 G- {0 r! r) W b
Common value, 共同值
# O4 _ C( @" \! |, r# h# @Common variance, 公共方差/ I6 D9 D+ r' X/ l
Common variation, 公共变异
" l! f. [& l1 rCommunality variance, 共性方差
( K2 B0 G+ `0 G9 O6 g# jComparability, 可比性5 e% G: d5 w, `" d: k( B8 [
Comparison of bathes, 批比较; o d o5 I- k/ ]. X
Comparison value, 比较值
' |+ }0 p9 L2 k$ n' |1 c, P! ECompartment model, 分部模型* a9 b8 f6 u( Q( e* |, U! V5 ?
Compassion, 伸缩2 ]* Q6 d2 P& i5 \5 ?' D7 D
Complement of an event, 补事件) b& `) Z& p# m m* t# v
Complete association, 完全正相关
9 v# e R) k0 h o; k: ?3 |Complete dissociation, 完全不相关
- \+ |& \6 m+ O% X: X0 b& q6 p7 _& _Complete statistics, 完备统计量$ v! D9 L, K- ]0 ]
Completely randomized design, 完全随机化设计7 u( Q+ M$ G/ x2 J! b% [# b5 @
Composite event, 联合事件0 ?( i9 j9 K! n h' C- d4 D; m: @& {
Composite events, 复合事件
9 F$ l# V, q' t& @Concavity, 凹性
5 w5 T9 a6 ?7 m0 U: W$ X# {Conditional expectation, 条件期望
! j! p6 B2 t. _6 i) a: i2 E- i8 QConditional likelihood, 条件似然6 W' U6 e X4 I$ f6 X
Conditional probability, 条件概率# L& O; s# V/ G3 B$ d
Conditionally linear, 依条件线性
9 ~9 }/ ~/ Y: u( Z- M; F4 P/ RConfidence interval, 置信区间
( I! U' K9 ~% ^- MConfidence limit, 置信限
+ N$ r; U5 c9 U8 i5 _' A, FConfidence lower limit, 置信下限6 A: J9 Q# r, o5 Y4 |, {
Confidence upper limit, 置信上限
2 P3 d3 h2 O0 O' v& x+ Y" GConfirmatory Factor Analysis , 验证性因子分析
: k! l+ M+ \/ c/ {+ EConfirmatory research, 证实性实验研究$ F% W: C2 d' o7 [
Confounding factor, 混杂因素
9 ]0 r+ {5 ^# ?- rConjoint, 联合分析2 P( n0 n, Z5 E* H2 R
Consistency, 相合性! X# g2 t; v# ~3 Y2 c! x
Consistency check, 一致性检验* G0 A3 D/ @ z( I# C
Consistent asymptotically normal estimate, 相合渐近正态估计
* g4 n2 t* D3 ?) }7 lConsistent estimate, 相合估计
7 w P4 R/ ]+ S9 OConstrained nonlinear regression, 受约束非线性回归. G" H- A% M6 e, g: X7 Y) G
Constraint, 约束
* R* U2 V4 K9 M3 j3 p( kContaminated distribution, 污染分布( F! g3 u O5 r- A+ G9 F) M& J
Contaminated Gausssian, 污染高斯分布2 B- ~ E, t o( v; e
Contaminated normal distribution, 污染正态分布
# O! f2 T; v: n: g) g3 FContamination, 污染
9 ^; D5 R' o1 W; z6 _( d0 XContamination model, 污染模型% N8 S+ A, A5 A
Contingency table, 列联表/ @- h7 h0 h$ t9 J7 T, _
Contour, 边界线
& M9 k8 m# ]2 L8 K5 }7 b2 i& U6 xContribution rate, 贡献率' y- O( g% S0 l* _
Control, 对照( c# O [, \, y- D( {
Controlled experiments, 对照实验
4 ?1 f* f: q% {Conventional depth, 常规深度
6 W% G, c! B4 C ]Convolution, 卷积" V) c, M( p# e4 E
Corrected factor, 校正因子& g( F, F5 w, g0 |8 W
Corrected mean, 校正均值) J7 v- Y' p- ~$ A
Correction coefficient, 校正系数
' t7 d3 j2 Q( X, ZCorrectness, 正确性
6 o2 S/ z6 F7 VCorrelation coefficient, 相关系数& R( t( w% E; w2 [# q- B& y" z9 a+ D
Correlation index, 相关指数
1 D- r, E* y0 V% xCorrespondence, 对应( X1 u5 f; s3 z- e
Counting, 计数# Y. H3 l6 [" V0 s
Counts, 计数/频数
( J" E }# }, }$ z& ?% q4 ZCovariance, 协方差2 m" d+ c$ B1 X; b$ B
Covariant, 共变
5 `; y! T7 X" R2 RCox Regression, Cox回归
* e% C$ D2 ]5 I: F8 g! vCriteria for fitting, 拟合准则
5 R4 z0 Y4 P7 SCriteria of least squares, 最小二乘准则
: j& b9 r$ @' r/ dCritical ratio, 临界比, `* Z: ]7 F8 p( j$ m4 F* H1 S5 r
Critical region, 拒绝域
. Q6 @, I4 }5 R5 J7 wCritical value, 临界值
+ F, J* ]- v4 A; t9 U: e! t; t$ h9 a u" A+ tCross-over design, 交叉设计7 V8 s2 I# [8 D7 y. R7 s7 K% C
Cross-section analysis, 横断面分析
$ r e1 @3 v- s1 e3 |. c: J$ J* tCross-section survey, 横断面调查
$ q1 Z+ ] b4 ?5 x$ \Crosstabs , 交叉表
/ T$ ~% ~- E+ l/ kCross-tabulation table, 复合表
& n- E/ a4 V7 `0 L/ bCube root, 立方根
5 N$ p% }5 w/ A R; ACumulative distribution function, 分布函数6 d, ?: ]: |# E D2 V1 N% }2 I( M. U
Cumulative probability, 累计概率
1 Q/ ]1 [5 {! a, Q* B( yCurvature, 曲率/弯曲/ |! H3 s( f0 \9 X3 ?1 d% q
Curvature, 曲率
( R. V! ?7 v0 _2 I( @( ^9 Y, OCurve fit , 曲线拟和 |- x. B- A# e& q- p
Curve fitting, 曲线拟合# ^: @' G Z4 }6 n0 c( r
Curvilinear regression, 曲线回归
- ~7 q0 ]* E% c( n4 j1 i% O! gCurvilinear relation, 曲线关系/ w: A) W; B3 O
Cut-and-try method, 尝试法
! R' P* s. M0 Q' qCycle, 周期
, u |6 Q( K/ _1 P h. e, gCyclist, 周期性
- N$ G& k# O$ M# ED test, D检验
6 Z5 A R) o# I8 dData acquisition, 资料收集, c. f4 a+ O# x$ H2 t4 N
Data bank, 数据库. F6 j) W g+ M8 G
Data capacity, 数据容量
* F+ e. b9 q7 V/ KData deficiencies, 数据缺乏
3 h+ ~, i4 V3 y! H6 jData handling, 数据处理
- w, U) \! W4 l7 LData manipulation, 数据处理! o: B! B( ~6 G6 O2 [8 J
Data processing, 数据处理
! G! n# R& r( F) _% \% n+ Z1 yData reduction, 数据缩减
& q0 T/ f2 O' v4 y3 o) y& Y+ vData set, 数据集
! A* V& A7 V, [0 d. @Data sources, 数据来源7 B6 R" s# q# F4 B+ F! U l
Data transformation, 数据变换
0 o0 q; G0 G. Q( A KData validity, 数据有效性; |2 Z4 g5 r+ u) @
Data-in, 数据输入
# l1 l& s: O$ ? B( I; \4 KData-out, 数据输出
! q5 C% t* W! WDead time, 停滞期
) [6 ]0 Z& A; I* Z/ P" g' {. r* eDegree of freedom, 自由度
% s/ j6 }% r( H! jDegree of precision, 精密度
9 @% W( y# y, e) m4 O/ c% B" WDegree of reliability, 可靠性程度
/ W a9 i1 r, c2 ]# Q6 |* BDegression, 递减8 ], T- l- f$ n& l
Density function, 密度函数
0 m; D& e7 ^* K6 ZDensity of data points, 数据点的密度
* X6 _8 J5 d s b3 V2 V, h mDependent variable, 应变量/依变量/因变量( O/ j- q* L& |9 R. b; G) C
Dependent variable, 因变量& M; U/ ?2 b( x
Depth, 深度( X5 `: l5 ?$ c Y
Derivative matrix, 导数矩阵
/ _2 b! v8 Q Y0 m# K2 S3 KDerivative-free methods, 无导数方法
: z$ {8 Q, \2 tDesign, 设计
7 |7 a- @* |3 J3 N3 TDeterminacy, 确定性- w$ K O* e$ t/ I$ }. ~. l
Determinant, 行列式
- M a1 r" G9 ?Determinant, 决定因素
$ \* z; F9 j6 e! J7 A8 j, dDeviation, 离差4 N" H5 O! w0 F" u4 k' D
Deviation from average, 离均差
$ @. V3 k! ~3 H+ s% F9 |! JDiagnostic plot, 诊断图% N& P: P3 l" Q1 Z; p! u3 k
Dichotomous variable, 二分变量
A$ e0 P, w, t: E' mDifferential equation, 微分方程
7 A, L: F$ F/ Z8 hDirect standardization, 直接标准化法, u" R3 }' T$ ^6 {6 f- B
Discrete variable, 离散型变量. t7 j+ q# H0 p3 _; M6 j' b, P
DISCRIMINANT, 判断
$ \' i* I! Z, ]3 `2 [ v$ pDiscriminant analysis, 判别分析
) j/ L! c, ]$ ?1 X& I' \' \3 d- yDiscriminant coefficient, 判别系数
% m) X1 j+ l' \Discriminant function, 判别值. c; S7 t& o4 F* u
Dispersion, 散布/分散度. {6 ^1 w' N8 ~; S# U( x7 i3 p s
Disproportional, 不成比例的* w" D- x0 y4 N& B
Disproportionate sub-class numbers, 不成比例次级组含量
& b7 P3 e8 a( f. Y! e3 w3 xDistribution free, 分布无关性/免分布8 {7 t3 O8 p( Z; L4 R( r. j
Distribution shape, 分布形状% c' p% s" b. b/ F$ B. ]
Distribution-free method, 任意分布法
2 s6 S5 h" ~( t2 B% @Distributive laws, 分配律' X6 }, y Z& J
Disturbance, 随机扰动项0 S5 E' a; S4 M, ^9 F7 x! b4 q
Dose response curve, 剂量反应曲线( I! X6 [7 j2 Z5 H8 _4 u' {' }0 D
Double blind method, 双盲法! V) [! a3 E- ]& Q% |1 }
Double blind trial, 双盲试验
6 z* X& e9 ]8 H" gDouble exponential distribution, 双指数分布; a/ ?# I" z. @: K4 E
Double logarithmic, 双对数
7 q" ^5 R( w- g) n; a- C3 K* MDownward rank, 降秩4 t0 w0 d+ x& `% B. m) h
Dual-space plot, 对偶空间图4 Z$ B3 K( J7 Q6 M$ N: }
DUD, 无导数方法; G' j+ |8 ], D0 A
Duncan's new multiple range method, 新复极差法/Duncan新法
; H0 N! o1 L# l- L& b% ?) @Effect, 实验效应! p$ \2 i* i2 b' W* T$ d2 E
Eigenvalue, 特征值7 p$ s. t6 z+ ]& p
Eigenvector, 特征向量
& Q1 C5 s( h3 h7 |; X6 i9 u% cEllipse, 椭圆) h$ B, K3 E- q& _
Empirical distribution, 经验分布7 K3 a2 L$ n* N
Empirical probability, 经验概率单位2 }4 D/ e T$ P; f3 h" w; H
Enumeration data, 计数资料# J1 A7 V* Y( T0 f- a
Equal sun-class number, 相等次级组含量5 e# Y0 F S; ~8 b" d5 t
Equally likely, 等可能
) `9 f; R" e$ [Equivariance, 同变性; }7 f: @& t' y& {
Error, 误差/错误
3 w4 @. e& P3 S1 CError of estimate, 估计误差0 H9 a% X3 _( z1 g% l- y
Error type I, 第一类错误. Q2 g( Z9 H6 J' Q
Error type II, 第二类错误# o8 _/ k. U7 Z; F
Estimand, 被估量8 i H% P; \! A2 F7 _. \
Estimated error mean squares, 估计误差均方
9 ^8 I$ a( B: b- X0 s% rEstimated error sum of squares, 估计误差平方和7 b% n3 f2 V$ i5 y1 t" [
Euclidean distance, 欧式距离
: }& _+ [6 j7 n' GEvent, 事件
9 Z D4 Y7 B" R# p3 g+ `8 mEvent, 事件
# E/ Z' S2 a- EExceptional data point, 异常数据点2 q. e3 v4 D2 {
Expectation plane, 期望平面, v. f* ^ v2 n& {# @/ ~4 b7 U3 d+ [
Expectation surface, 期望曲面% w2 D4 x! B+ ?. Z+ _7 T5 A
Expected values, 期望值% V7 v( s( ]% F
Experiment, 实验4 O/ z6 X- G6 t' c4 B3 i' `& K
Experimental sampling, 试验抽样
" f% P; B5 C$ N6 Y# z# GExperimental unit, 试验单位
; a. ?0 P4 h4 B x4 o4 s7 ^Explanatory variable, 说明变量: B B" x: W5 A
Exploratory data analysis, 探索性数据分析
$ V% I' T' Q) w" GExplore Summarize, 探索-摘要
3 r+ L- B d9 {2 K& iExponential curve, 指数曲线
/ f2 x. r/ G7 d; i; n: x! D/ T: a* QExponential growth, 指数式增长: ^- P7 n$ p/ ~! q) }
EXSMOOTH, 指数平滑方法 9 w; j8 O3 g7 A1 J2 u' |
Extended fit, 扩充拟合
5 d8 ]4 v6 t. KExtra parameter, 附加参数6 q# A0 H6 s( H# {7 T7 F) D: t$ U7 ?
Extrapolation, 外推法
( B% G @! n8 @- E. k6 s! JExtreme observation, 末端观测值- u2 r p; B! `: L% }+ z
Extremes, 极端值/极值9 a( M; ]( e7 w2 u' B' A6 n
F distribution, F分布
# H6 i1 v9 K1 Z8 ^, z" n0 M0 j& q0 a, CF test, F检验
$ b7 A- l, f$ z- {Factor, 因素/因子
- q+ M# P/ ^% fFactor analysis, 因子分析
: p! G( V s1 XFactor Analysis, 因子分析
: @+ @1 O7 p) F9 _Factor score, 因子得分 ' l6 W @8 X0 p9 M
Factorial, 阶乘( E, Z6 F+ y7 X+ d1 E& K/ v
Factorial design, 析因试验设计4 P4 R+ h7 f" d3 ^3 Y5 v! M
False negative, 假阴性
0 P8 {7 \, B/ D4 T" @. b, yFalse negative error, 假阴性错误
6 s% |7 s6 s& U( h9 J' @Family of distributions, 分布族
# l, B# t; M6 yFamily of estimators, 估计量族
' s7 }3 T1 X. F3 g) h; e* sFanning, 扇面
; B7 a& d/ `" W" |% wFatality rate, 病死率
( A3 N! Z/ o }8 a0 aField investigation, 现场调查! S, j2 g5 N- r9 I, T* Z
Field survey, 现场调查
4 K8 x, C- }- jFinite population, 有限总体2 l" V( l4 t- R2 R, _ `* ~* ]% S) p- s
Finite-sample, 有限样本
9 p& b, Q' Y3 r5 c4 mFirst derivative, 一阶导数6 ]# Q q1 ], D, h. [8 ]
First principal component, 第一主成分7 `9 k' }. ?# s. n6 L3 c; z! A
First quartile, 第一四分位数& o5 f* B [4 w: ?& {, F
Fisher information, 费雪信息量* J9 e1 f ?9 r9 W. |- g% ^
Fitted value, 拟合值
! i3 a" w/ G( ZFitting a curve, 曲线拟合
4 E7 d7 M/ i$ U6 ?6 mFixed base, 定基) a9 d+ b f9 U) y% n, {
Fluctuation, 随机起伏
1 g/ F$ p% T- h6 p+ j$ uForecast, 预测( i7 Y) f1 ]- Z0 u; u
Four fold table, 四格表
7 V! k) ]9 \6 l4 ]8 N# WFourth, 四分点
! w& o+ t7 C3 QFraction blow, 左侧比率* ]# D0 R& o. z7 v1 y9 k, {) R4 k3 F
Fractional error, 相对误差% A" r( I$ w$ E/ B
Frequency, 频率/ A2 C3 J \* A, E8 @
Frequency polygon, 频数多边图) k/ u& n* d9 G; X' Q+ `
Frontier point, 界限点
1 G& {4 S3 ^- ^' z1 VFunction relationship, 泛函关系5 \' P! G- d. r% d" E
Gamma distribution, 伽玛分布9 O# E/ ~/ y* Z- I
Gauss increment, 高斯增量/ o$ G7 R; L: e( |4 r: H; q
Gaussian distribution, 高斯分布/正态分布
0 J5 G1 v0 `5 e4 QGauss-Newton increment, 高斯-牛顿增量
5 M& {) y& H2 P3 T' z% tGeneral census, 全面普查
: J3 N! E& a' U( V2 e/ mGENLOG (Generalized liner models), 广义线性模型
1 Q9 {6 j0 o+ M0 oGeometric mean, 几何平均数/ ]1 Q2 y+ \$ F6 e3 Y# z
Gini's mean difference, 基尼均差" b s; W+ ^: \) G
GLM (General liner models), 一般线性模型
) h0 v$ [5 q8 k8 W/ @Goodness of fit, 拟和优度/配合度
1 w3 S3 j8 J% j( h( @6 dGradient of determinant, 行列式的梯度4 `" t# P3 p; i4 |8 W3 R
Graeco-Latin square, 希腊拉丁方
" S; T" m+ L9 A4 y* _1 {Grand mean, 总均值( p1 z" l) W$ f" J* Q$ J7 V! J: C
Gross errors, 重大错误
" m9 F8 d* z2 s3 |Gross-error sensitivity, 大错敏感度
" d/ @8 ?, H( ~0 u9 w# S( EGroup averages, 分组平均6 t" b/ N7 F. F/ v( z
Grouped data, 分组资料
B" n) e* O3 {& A) iGuessed mean, 假定平均数
, u. P; ?3 d9 m4 KHalf-life, 半衰期9 n+ \. M( \- y: x% Z9 X r
Hampel M-estimators, 汉佩尔M估计量: f3 w& l) `9 u, Z) R* c
Happenstance, 偶然事件7 K* w7 Z0 t w
Harmonic mean, 调和均数
9 u: A; a" q5 w; j1 @. i- QHazard function, 风险均数
( p" |( v( ~& O& Q( E# S# P$ g+ GHazard rate, 风险率( w+ d4 _! E- W$ q
Heading, 标目 t& e- Y. @( [& s9 e
Heavy-tailed distribution, 重尾分布9 y& ~* J% u" }
Hessian array, 海森立体阵3 C! @. s- k' L- |% I
Heterogeneity, 不同质
! d$ N% S z1 v5 x. D% ?9 H& P6 rHeterogeneity of variance, 方差不齐 - W6 K8 [$ O: w6 C3 e7 L+ g# M+ L- ?
Hierarchical classification, 组内分组
3 f, t B* B1 b/ t* EHierarchical clustering method, 系统聚类法8 I. r" L! p/ N" z5 W* m/ b
High-leverage point, 高杠杆率点8 }2 V* L# Z5 L* x, @5 y
HILOGLINEAR, 多维列联表的层次对数线性模型% U7 u u, K' I; D+ F8 O7 V
Hinge, 折叶点1 s K% z M# b% E2 j7 c8 t' o
Histogram, 直方图. h5 ^3 t. V2 W# D
Historical cohort study, 历史性队列研究 ; Y2 Q+ q' Z2 A3 z. @4 [* J! Y
Holes, 空洞
9 F, l0 ?; G# a3 B+ c5 FHOMALS, 多重响应分析
: \; O; [) X" f I; l- uHomogeneity of variance, 方差齐性
+ J2 s5 G$ q' y2 n( @! @. v. kHomogeneity test, 齐性检验, ^4 E6 C9 y2 c3 \
Huber M-estimators, 休伯M估计量9 \* w' z2 {# f3 X1 z
Hyperbola, 双曲线
+ D" S0 }# J. H% Q" q3 kHypothesis testing, 假设检验# a- j3 b' g1 G' _7 |
Hypothetical universe, 假设总体
) V c* c3 }3 \7 z. f9 A6 uImpossible event, 不可能事件
5 N5 j8 \6 p4 n, A. O3 {+ rIndependence, 独立性
( Y9 t8 p& N/ b* Y" E6 k; a1 TIndependent variable, 自变量. \: ~8 p" ^/ q+ M8 O5 Y; P
Index, 指标/指数" F1 w' S! U- `1 s8 H! J7 y% G
Indirect standardization, 间接标准化法1 D" w/ R# R7 @: A! p
Individual, 个体
1 k, J% i: }. `Inference band, 推断带
9 B/ p5 W! {% k9 Y3 u1 t" DInfinite population, 无限总体
; r- U& M* h3 k1 ?' q7 S% _6 oInfinitely great, 无穷大# D5 @& o5 R' n2 s$ m6 K
Infinitely small, 无穷小
: K+ _3 S, @) J4 \8 G5 j. u5 ?Influence curve, 影响曲线4 d' W# T8 |4 L$ r( |
Information capacity, 信息容量. A7 H7 W+ v& v' M7 R) ~! x
Initial condition, 初始条件
1 P3 y1 O- g8 R5 VInitial estimate, 初始估计值
9 F4 U$ h1 w" p" P0 j6 {8 }$ ^Initial level, 最初水平, b% o& C+ w, K! V# k! _7 G
Interaction, 交互作用
5 e* D; j6 j( O- {' s5 _Interaction terms, 交互作用项 }! y* c6 v4 b. e$ R5 X T" s+ @
Intercept, 截距8 P+ g/ k8 g. H; F8 U3 A) H m/ A
Interpolation, 内插法1 z3 M* e% Z% I9 [; s" H( k3 E
Interquartile range, 四分位距 Q$ N) c+ r" Y" j1 M0 v) F1 i
Interval estimation, 区间估计! J7 p4 M% T) J- t! v8 f4 Y3 Q$ l
Intervals of equal probability, 等概率区间
* C H5 P L( M9 G8 PIntrinsic curvature, 固有曲率
$ `" r9 G% d% _Invariance, 不变性
# n, y0 F6 W0 M# ~( bInverse matrix, 逆矩阵
3 j% V0 P" D0 _) _$ U6 w- q o" qInverse probability, 逆概率
: |) O% ^0 K4 F7 D3 p0 K3 `1 LInverse sine transformation, 反正弦变换) _4 U* ?' w, z
Iteration, 迭代
1 u s- P+ |$ e! o! `+ iJacobian determinant, 雅可比行列式
( o4 X$ V: ?8 P9 [5 x4 MJoint distribution function, 分布函数% S$ V9 B! d- P8 d; d) D% P- b H
Joint probability, 联合概率
1 _# h! n- Z5 A% i/ t; V) IJoint probability distribution, 联合概率分布- R) Y0 Q9 a7 U' Z, x4 U
K means method, 逐步聚类法6 _ q: t! s; ~1 h! m3 B
Kaplan-Meier, 评估事件的时间长度
0 Z( }' G3 `2 I1 e% jKaplan-Merier chart, Kaplan-Merier图8 X0 e! I: Q6 _) Y8 p7 |5 T5 W
Kendall's rank correlation, Kendall等级相关
7 k( ?* E$ f7 q- o& c' a: |: `5 WKinetic, 动力学; z; O8 X' F y! M8 G
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
z# Q& S/ ~& z- ?4 ]6 K8 V8 u% iKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
$ e& z# ~ N( L% _. pKurtosis, 峰度* H, x4 H& D% _& c& n: Y$ ?9 T
Lack of fit, 失拟
# X: g h5 P: r0 ]0 E f% A1 RLadder of powers, 幂阶梯1 Z) I- l9 Q# f+ x6 A
Lag, 滞后# n0 c/ @- }2 }9 r6 e
Large sample, 大样本
% A, ]# {# V5 h S) hLarge sample test, 大样本检验1 P& w5 `, A7 y7 I. }
Latin square, 拉丁方
5 k) z2 q# E. y: b, b' i5 NLatin square design, 拉丁方设计
. H1 a {& d! v7 }, ]) m" V" I% GLeakage, 泄漏# G g5 ?9 \8 C& L( Q
Least favorable configuration, 最不利构形
) N- \+ o( y6 W$ N' b' S# |Least favorable distribution, 最不利分布. M1 t* u( }# N0 F, o2 }9 d
Least significant difference, 最小显著差法! T& A7 K) @+ x% z. V
Least square method, 最小二乘法4 q! ^+ A3 p9 ~) c. F
Least-absolute-residuals estimates, 最小绝对残差估计) P2 p% R0 ~" a+ ^' v: r
Least-absolute-residuals fit, 最小绝对残差拟合
8 _ z8 F6 a* u C. b2 J& L' ]0 nLeast-absolute-residuals line, 最小绝对残差线- r" }2 W3 D3 }! @2 X# P' t
Legend, 图例- ^/ N+ U7 v$ n" j& g- ^
L-estimator, L估计量
. j2 F' @/ m& F4 R" M% }L-estimator of location, 位置L估计量; \. F4 o2 z) j; r: @# X7 ]* Y0 `
L-estimator of scale, 尺度L估计量
6 Q! n B6 S0 QLevel, 水平' l) r. ]; {& w2 L9 m( L, f8 W, X
Life expectance, 预期期望寿命
. D' |- l1 L8 c }! x7 g3 cLife table, 寿命表
# ~! E7 w+ W$ QLife table method, 生命表法7 N* }& R3 L2 r H# H
Light-tailed distribution, 轻尾分布
3 k# ^7 \1 x9 v# ~% L, m7 I' CLikelihood function, 似然函数" i( H5 F" |) j8 v+ M1 L" b; U3 g
Likelihood ratio, 似然比
9 M- A. `! w9 {' U) n/ o6 tline graph, 线图, z/ E/ B9 [# n2 N9 `5 H( C
Linear correlation, 直线相关; g6 j1 `, _3 ]3 k2 k% g3 {
Linear equation, 线性方程
. k3 x: o8 I% y, Y* W% u/ kLinear programming, 线性规划, z( v0 L# A/ D, f
Linear regression, 直线回归
# l }" t: _; E& T: oLinear Regression, 线性回归5 O4 I: Y' ~- z5 O
Linear trend, 线性趋势
1 F$ Y/ D r' |6 m+ p" m" R! `Loading, 载荷
9 ]8 z9 h1 L9 e5 F) qLocation and scale equivariance, 位置尺度同变性6 U; x3 a, k0 n9 i7 G/ T- R6 a
Location equivariance, 位置同变性
' E6 d" ]8 d9 e, t8 r9 ~Location invariance, 位置不变性! Z, `- Q; ?% _, j
Location scale family, 位置尺度族
6 y" B8 u+ W0 O- T3 Y' W5 vLog rank test, 时序检验
, w3 X- k' {5 G/ ]Logarithmic curve, 对数曲线
4 i1 r4 B. s( N% N9 M6 E; Y# ULogarithmic normal distribution, 对数正态分布
3 g& S( `8 q E0 k; u: fLogarithmic scale, 对数尺度
: F G7 V3 |: e) S8 ^% O3 r3 GLogarithmic transformation, 对数变换
( V# o( I* h+ L% V5 d% r- b3 S: yLogic check, 逻辑检查. ^2 `" R% x _8 C# A
Logistic distribution, 逻辑斯特分布$ Z; Z( [' W. V6 L
Logit transformation, Logit转换/ w& p- T2 K, A F( H' V8 I$ P! m
LOGLINEAR, 多维列联表通用模型 % S4 U C: L* B9 S& y8 l1 p
Lognormal distribution, 对数正态分布9 D" J$ T) D7 y7 B! [% y
Lost function, 损失函数3 l7 W5 T" d/ F6 s+ h; A: c
Low correlation, 低度相关
7 z( C9 [$ e+ M- q, a* Y8 ], GLower limit, 下限9 w9 h4 O0 m# b/ |& s1 V" a) s
Lowest-attained variance, 最小可达方差
' c* w; [6 X d: `* V# qLSD, 最小显著差法的简称) Y/ G- j t3 J+ d5 G5 v+ x
Lurking variable, 潜在变量2 X: F; W, j% v( K- J& A
Main effect, 主效应9 }, R6 X7 j e1 r. O
Major heading, 主辞标目* f/ h. s, \5 b
Marginal density function, 边缘密度函数# t! Z g2 Y: J" f/ a% ~$ `
Marginal probability, 边缘概率. u9 K* B% Z# k' k' Z
Marginal probability distribution, 边缘概率分布" \ A1 m7 y" J1 w
Matched data, 配对资料
) H3 A9 w( e: g. @2 X2 V8 ]Matched distribution, 匹配过分布+ ?# D, e* W/ `4 P6 Z5 e
Matching of distribution, 分布的匹配
$ J a( Q, B2 p2 [Matching of transformation, 变换的匹配. d$ b& k# \8 q
Mathematical expectation, 数学期望+ H. G2 r$ ]6 B; ^ w! c6 [
Mathematical model, 数学模型3 b! q8 I, J) e0 s6 N5 \% z/ J0 ^
Maximum L-estimator, 极大极小L 估计量
- @; n- v% `' w. k1 `! j. RMaximum likelihood method, 最大似然法
# u1 I9 O# o; |; IMean, 均数8 Q9 x( c! C9 }6 `0 l
Mean squares between groups, 组间均方% @# ?2 S* |2 ^& X/ c' y
Mean squares within group, 组内均方; h! Z" s4 L8 N0 D$ t
Means (Compare means), 均值-均值比较3 R; G) Q- B) w$ N( d7 N/ J7 m
Median, 中位数
% \4 H! W: t: C* RMedian effective dose, 半数效量0 T2 Q( t/ C1 D/ J1 W: F- G e
Median lethal dose, 半数致死量5 g8 y7 q) `( b# U$ P- U6 {% x
Median polish, 中位数平滑4 B. P- Z. m+ F3 K
Median test, 中位数检验
) z7 Y; v2 ~' } N( Y. |Minimal sufficient statistic, 最小充分统计量
! ^' N* P7 y, pMinimum distance estimation, 最小距离估计
) j1 ~3 z* S% }" |( p! X/ pMinimum effective dose, 最小有效量- k; {- r# i# M& d
Minimum lethal dose, 最小致死量
X& `- O( y. O- J o. Y+ i7 {Minimum variance estimator, 最小方差估计量7 `+ _. E. u, l: o* v
MINITAB, 统计软件包
k5 b" r- l3 f1 YMinor heading, 宾词标目
+ X1 M! [) f9 R1 c9 t: K2 mMissing data, 缺失值
6 Q; G0 C ?$ ^3 {7 bModel specification, 模型的确定& t- j- Y( ^4 z S0 ^; |
Modeling Statistics , 模型统计; G9 t6 J' s) i
Models for outliers, 离群值模型9 R) ~' e1 L0 j$ ]7 F9 ^
Modifying the model, 模型的修正% |, I) c& T {) a: A( Z8 G
Modulus of continuity, 连续性模6 N* ~ v- m) I! n
Morbidity, 发病率
9 S% \% q% t. B1 p6 L4 GMost favorable configuration, 最有利构形. ?% X, U! s+ a5 [1 p$ y. B0 p
Multidimensional Scaling (ASCAL), 多维尺度/多维标度; W! C& b; X" a( [
Multinomial Logistic Regression , 多项逻辑斯蒂回归" J Q9 t* V" A# x3 X/ j, B u
Multiple comparison, 多重比较
F6 X/ M/ O$ P* i. {Multiple correlation , 复相关/ \& J, l6 |9 [/ h
Multiple covariance, 多元协方差
% W+ t( `" a5 r' \0 f2 j, ?Multiple linear regression, 多元线性回归
+ `9 Z; I: m' JMultiple response , 多重选项* ^: {$ E: Y/ g/ D0 r/ j
Multiple solutions, 多解& R& s+ L% {& c9 @
Multiplication theorem, 乘法定理5 ^' G: J9 U& c6 Y+ y
Multiresponse, 多元响应7 W' E. ^/ y: S; R( h7 e
Multi-stage sampling, 多阶段抽样
: ]4 F7 a" ]5 n# \/ cMultivariate T distribution, 多元T分布. P1 n' o! |. k5 e0 p& G. f3 Z8 |4 N
Mutual exclusive, 互不相容
8 X! j5 k9 u( _7 l2 v/ l: |Mutual independence, 互相独立
( |! v% S. u8 a' V& dNatural boundary, 自然边界! U3 E# A A% F/ ]9 r
Natural dead, 自然死亡4 P- o/ W. g: W; h1 ]
Natural zero, 自然零 \; b j0 X( d4 n& X6 w
Negative correlation, 负相关% Y1 J' x, L! ]$ v; [0 c6 n2 b6 o T
Negative linear correlation, 负线性相关2 C5 o: E( a) B7 X' w
Negatively skewed, 负偏
% D9 t) M8 i6 B; Z$ uNewman-Keuls method, q检验
( c v C" U& q# FNK method, q检验/ S4 ^2 E6 l+ Y% R% g) \: r
No statistical significance, 无统计意义
: q7 P( w7 `% k/ ^( KNominal variable, 名义变量$ f3 u( w. u# U, Q) |
Nonconstancy of variability, 变异的非定常性
3 _+ f, m. c+ p; f- Y7 M9 A* ?/ H+ UNonlinear regression, 非线性相关
% F( S4 a" M: M3 |' q$ Q; t. ^# YNonparametric statistics, 非参数统计' M' p/ T0 \$ @' a! k
Nonparametric test, 非参数检验4 Y9 h, r( h. N6 n, t3 O
Nonparametric tests, 非参数检验2 q- O) h" u7 Q/ L" G" L: d
Normal deviate, 正态离差- F/ g" }; q9 Z( ]4 ^# |3 g
Normal distribution, 正态分布* Z5 h7 z5 V; O/ A# ~% J. _, s
Normal equation, 正规方程组5 c4 T( i2 G7 L% M7 `
Normal ranges, 正常范围
( x5 R; z4 f! C i' ]% VNormal value, 正常值
& B4 d/ R# ^' t$ r$ WNuisance parameter, 多余参数/讨厌参数$ X. z" |( P. F7 f5 G
Null hypothesis, 无效假设
8 p x0 g( S$ l \) w. D1 K, RNumerical variable, 数值变量
4 b5 t) b+ l/ xObjective function, 目标函数% I- a4 _1 y9 I& ?
Observation unit, 观察单位
3 H& _% G! _) U9 a0 [- O( \Observed value, 观察值
# V) z0 c$ @2 C3 Q% X i, COne sided test, 单侧检验* B1 W% N# \7 J
One-way analysis of variance, 单因素方差分析; m' k1 c3 }+ b
Oneway ANOVA , 单因素方差分析3 S' `0 N7 w9 `
Open sequential trial, 开放型序贯设计
/ v0 |( n% U9 O! lOptrim, 优切尾
' g" j% O+ s6 C2 o) v9 `Optrim efficiency, 优切尾效率
5 @; A& n6 u9 v; W6 YOrder statistics, 顺序统计量( a1 x8 w H8 C) `
Ordered categories, 有序分类" N U0 @: o% D2 o
Ordinal logistic regression , 序数逻辑斯蒂回归) w4 K& o6 D& F; q1 p4 j
Ordinal variable, 有序变量8 f0 Y; y) u1 \8 j: ?
Orthogonal basis, 正交基
: y' F) `8 f. g3 s3 c0 a2 LOrthogonal design, 正交试验设计' B9 {0 o( G1 c5 V' I1 Z
Orthogonality conditions, 正交条件
2 x) h3 h' U; l. f+ AORTHOPLAN, 正交设计 8 n! A4 A5 L" ^4 y4 C7 X: D
Outlier cutoffs, 离群值截断点% r2 e3 I) a4 e, a" p; G( h2 z
Outliers, 极端值
, L: H: V5 B6 t0 ?2 m8 j/ xOVERALS , 多组变量的非线性正规相关 8 m1 l. P0 y7 e
Overshoot, 迭代过度% L0 X. f% D) D+ }$ V
Paired design, 配对设计
7 s$ X) R' Z: k0 g; K+ D% R0 E- wPaired sample, 配对样本' W1 {# Z+ R8 M
Pairwise slopes, 成对斜率
) S* `& [ g T1 B, RParabola, 抛物线( l3 ]) M7 x. V0 |% I
Parallel tests, 平行试验
) f1 x: Y- ?/ }( E+ T8 UParameter, 参数8 c6 |0 i6 z8 k$ M% [9 L; h
Parametric statistics, 参数统计
; S" J# M$ J. rParametric test, 参数检验/ s7 C. Z& ^2 y' F" u
Partial correlation, 偏相关! j$ K8 \+ A6 o7 Q! x8 t5 H% P" o
Partial regression, 偏回归% W3 V; S$ A( l0 d; K/ K+ p7 S
Partial sorting, 偏排序# E; A/ q9 F3 z& z% L
Partials residuals, 偏残差
8 R) J4 E$ F5 x A1 jPattern, 模式! s; o2 ~/ l% y: F' }0 L7 m
Pearson curves, 皮尔逊曲线' o3 J/ S9 e3 j M: {
Peeling, 退层
, V8 J5 y# h5 U2 wPercent bar graph, 百分条形图7 s: G0 e% z+ q
Percentage, 百分比
0 k- t6 b- ]; R% h, {2 ]1 gPercentile, 百分位数; }; Z4 W# [; i3 f w% g. e. H% U
Percentile curves, 百分位曲线5 ~, o. e) w( F3 B" R4 e
Periodicity, 周期性
0 m! ?3 }2 H% o0 ?7 xPermutation, 排列
. i# e3 A0 a2 S1 rP-estimator, P估计量: e% u7 ]% C2 d3 w% b
Pie graph, 饼图( q' ~8 E7 t2 c p2 C+ \
Pitman estimator, 皮特曼估计量
8 Z' |6 J1 @; C/ @3 fPivot, 枢轴量/ q* ]; S; ^6 A$ t9 z6 c5 v
Planar, 平坦
0 F1 n2 t3 {; y) K, [7 ?Planar assumption, 平面的假设
: R: @. |1 H7 \/ O* X0 T; J! S) iPLANCARDS, 生成试验的计划卡
6 z1 U% r0 f" S* w, H( W+ \' {Point estimation, 点估计, @. F" O& ?8 x
Poisson distribution, 泊松分布
2 y2 U$ b/ [9 e, xPolishing, 平滑
$ q M* k1 b7 Q* v6 [% f, sPolled standard deviation, 合并标准差
: @; K' e a) H, @Polled variance, 合并方差! r+ h2 Q9 G3 x0 F" Z5 F6 N1 M' K, I
Polygon, 多边图0 X& p/ b) x, S0 T. m- U
Polynomial, 多项式
, n/ s) n" ]4 ]! bPolynomial curve, 多项式曲线4 u) E8 q+ P% S$ W; @2 B
Population, 总体8 a m1 |% M% R1 D% l
Population attributable risk, 人群归因危险度
! G2 @. r. o7 U8 K ?Positive correlation, 正相关
7 w8 `% i# j& k# ^Positively skewed, 正偏# F1 s. H. B& f2 H3 H# U2 z. q
Posterior distribution, 后验分布
$ [9 ~# u, h/ W7 \3 a8 `Power of a test, 检验效能
( {2 I5 ~2 H" O7 Y: {& H$ jPrecision, 精密度+ _6 l a9 x1 W3 B( R5 h
Predicted value, 预测值
& I" y! R# U# f8 i/ u! GPreliminary analysis, 预备性分析
7 D5 [4 {% `" c( O3 D4 l+ m( wPrincipal component analysis, 主成分分析
5 [3 O( l3 t4 K8 J' o- W$ C4 yPrior distribution, 先验分布
; y+ c, Y }" iPrior probability, 先验概率
8 I: h8 g K1 bProbabilistic model, 概率模型
0 A) w3 V4 P f: P, N$ S$ oprobability, 概率
- U9 l8 a6 F' P1 z) Z+ XProbability density, 概率密度
6 ?1 o& ], H0 K- lProduct moment, 乘积矩/协方差$ k; L( ^0 n# R& r$ B
Profile trace, 截面迹图2 d; b9 g# B/ s% q
Proportion, 比/构成比
' l- y, x3 j2 SProportion allocation in stratified random sampling, 按比例分层随机抽样. B c8 e5 P5 n4 S6 S* ^
Proportionate, 成比例+ V {* }$ H9 _& L' D- P) H# i' K
Proportionate sub-class numbers, 成比例次级组含量* Q/ K3 m2 p/ u$ ~9 e1 ?- B% O; E
Prospective study, 前瞻性调查! z- T7 s- s3 p. G6 x
Proximities, 亲近性 " r* c' V; T7 W% r* y' z
Pseudo F test, 近似F检验2 \6 O G/ L6 f% F/ H. w+ E
Pseudo model, 近似模型
. W2 B4 l6 h: F8 D% Y5 RPseudosigma, 伪标准差% o @. k7 k( V$ n& q' x. T6 \
Purposive sampling, 有目的抽样
) }1 f# w. p: X5 J( P; e' s5 c' SQR decomposition, QR分解% d8 p! _/ K1 N3 \
Quadratic approximation, 二次近似' a S; c8 I8 ]0 Q" o
Qualitative classification, 属性分类
# h9 [; l% A: [2 kQualitative method, 定性方法 q7 @/ b7 ]! l# ?
Quantile-quantile plot, 分位数-分位数图/Q-Q图
2 V) y- Y3 e: O+ O2 K1 ]2 RQuantitative analysis, 定量分析
3 O1 J ]5 I: h1 VQuartile, 四分位数9 ?" z, i3 Y( i" n0 F% W2 Q6 @
Quick Cluster, 快速聚类; p& k z7 B, l/ g+ J# P8 ]$ Z: Q% m$ N( e
Radix sort, 基数排序
# M' W; q J, P4 t8 IRandom allocation, 随机化分组3 I6 ?$ }4 ~0 R9 h7 D
Random blocks design, 随机区组设计
: T; q6 s8 [& ?6 D- P/ t& I6 [Random event, 随机事件4 q: G4 ]- e6 m7 B( o
Randomization, 随机化
2 w; F7 c7 z6 R0 u. nRange, 极差/全距# U) K, G: {/ T# `+ Q
Rank correlation, 等级相关# o, O N6 s: e: D1 \+ G' j
Rank sum test, 秩和检验
) a6 I4 o8 A, [, { x0 O/ P& NRank test, 秩检验
# y+ T( K) u- ?Ranked data, 等级资料
! ?$ E8 I R5 P. MRate, 比率/ D% A4 n4 y/ g4 T8 P6 |) @$ Z
Ratio, 比例
+ R; C/ }6 J7 V! \& Q, o. XRaw data, 原始资料
$ C5 d+ O$ e& h" n0 ERaw residual, 原始残差7 A% @1 o7 c) l2 @
Rayleigh's test, 雷氏检验8 m. r9 A4 H5 a( g7 L
Rayleigh's Z, 雷氏Z值
* {" G, q5 a1 `Reciprocal, 倒数$ \! N$ M8 U1 _4 b
Reciprocal transformation, 倒数变换6 V2 U% n( [( r+ \
Recording, 记录& u# z( A. {$ r8 C' w
Redescending estimators, 回降估计量8 [# ^; e6 U/ p, q& _' {( T
Reducing dimensions, 降维
, x+ ]# y4 M9 u f$ ?2 j% D8 MRe-expression, 重新表达
! J( P$ ^4 d5 T% k yReference set, 标准组
" D2 M w P6 j3 ~' wRegion of acceptance, 接受域
! n' F* @5 f) K4 @Regression coefficient, 回归系数
$ v! P0 |. K5 o' n: pRegression sum of square, 回归平方和* v% b: g/ p* `2 G1 m
Rejection point, 拒绝点. l( s+ Q2 w. ]1 p
Relative dispersion, 相对离散度' _" P7 W1 @5 ]: g7 P6 Q
Relative number, 相对数6 a! _4 Y8 I* f5 n& } a
Reliability, 可靠性
# T; b" z0 F) {; a% [5 S0 KReparametrization, 重新设置参数5 v9 x: L, M; h5 g2 R
Replication, 重复- ?( u8 t" [# l- Z3 ~( T* C' W
Report Summaries, 报告摘要
# W( O L, |7 b {+ tResidual sum of square, 剩余平方和
; ]/ d/ Z+ k8 r1 T2 ZResistance, 耐抗性1 J. c# e; a9 z% Y8 j0 r
Resistant line, 耐抗线; e: }( [$ m5 p5 | f1 F
Resistant technique, 耐抗技术! @ I& o+ f e, N3 Z$ Z$ V
R-estimator of location, 位置R估计量
- u4 [0 F4 I K% a+ eR-estimator of scale, 尺度R估计量
1 A* z) B0 W) c- ]: TRetrospective study, 回顾性调查
0 P+ Y" w' d7 _( L6 a: CRidge trace, 岭迹) M$ n$ c4 ?) U+ z
Ridit analysis, Ridit分析
$ f( K3 P5 o w# J" ?5 mRotation, 旋转' p8 o! o9 o2 w$ M0 F
Rounding, 舍入
. O7 P+ J; y* M( J+ ORow, 行' M" V2 _$ M" e7 y; k0 ?' Z/ h W
Row effects, 行效应" C. a& x4 d; U0 T' Z) C: v1 `
Row factor, 行因素
1 r' I2 I3 B( D- uRXC table, RXC表/ b n4 j1 u/ E+ {+ ?
Sample, 样本; |, R. ~% [4 k& l4 Z
Sample regression coefficient, 样本回归系数1 I9 a! ?& B3 h* x% s8 i
Sample size, 样本量
# a8 `" |" a% B. Y2 ZSample standard deviation, 样本标准差
5 A; ~% z, o+ N8 `! T" c0 L! rSampling error, 抽样误差! o1 T; Z5 z* \6 e2 A! C2 j
SAS(Statistical analysis system ), SAS统计软件包4 K# B, b* N2 Q
Scale, 尺度/量表" T# C8 }, S# X7 U: I
Scatter diagram, 散点图) D, D1 a2 e- i0 D& |6 Q- I" G+ x
Schematic plot, 示意图/简图0 ^; \* S1 T; {8 c5 X& e. w
Score test, 计分检验
& Z' ]- w) z4 s! A2 \) jScreening, 筛检
1 @3 R5 `# f, Q+ iSEASON, 季节分析
) ]2 ?* y) O3 _0 ^Second derivative, 二阶导数
; U; M) d x( z: d H8 uSecond principal component, 第二主成分
; A% Z \0 y P' L0 O! a" c( [4 ESEM (Structural equation modeling), 结构化方程模型 + V6 M+ b2 P0 x/ z
Semi-logarithmic graph, 半对数图" _6 y f( C# d$ J5 D# ?
Semi-logarithmic paper, 半对数格纸
# q# Q' i1 V0 R" g6 _) d5 a) N7 NSensitivity curve, 敏感度曲线
: E8 R5 e; G' V5 VSequential analysis, 贯序分析4 C$ {/ e2 V1 I; _! G& U: }
Sequential data set, 顺序数据集
7 Q( t2 U, L! k# I; oSequential design, 贯序设计$ Z Q: a# D! c0 W9 y" }: _* @ y9 F
Sequential method, 贯序法
# l. v; P$ ]4 hSequential test, 贯序检验法+ e* L# I. [) r
Serial tests, 系列试验; _9 b" a! w( k" O$ Y- R/ S
Short-cut method, 简捷法 & z$ a! v' ?0 S4 m% b* ?
Sigmoid curve, S形曲线# \. b1 L0 }2 X7 N$ l
Sign function, 正负号函数
9 W" u/ r- Z- I6 R: V: CSign test, 符号检验
2 Z, ^6 `2 \6 a) n2 X5 G3 CSigned rank, 符号秩
' [ ?, v# c( Z( TSignificance test, 显著性检验& a6 K& C3 A. G3 j
Significant figure, 有效数字* \9 n/ j6 f6 r3 p0 e& l- \$ n& k9 y
Simple cluster sampling, 简单整群抽样2 n8 c; F9 j* q% C/ S$ U7 `6 M
Simple correlation, 简单相关7 b: s6 i8 Y6 M0 U* y8 ?
Simple random sampling, 简单随机抽样
4 J x! g( s6 Y7 T$ Q4 DSimple regression, 简单回归. W% z/ B; }8 X" m
simple table, 简单表( G* l! ~3 f# D, o
Sine estimator, 正弦估计量
+ Z L. K: n+ y xSingle-valued estimate, 单值估计
# Y/ C1 \7 v( a" K* {+ T0 K( CSingular matrix, 奇异矩阵
1 V8 ^: O' W9 ^1 P& f/ sSkewed distribution, 偏斜分布
8 ?- n1 c) j( ^ O0 LSkewness, 偏度
9 q, `0 L8 e7 M$ A1 QSlash distribution, 斜线分布
6 g$ h% h5 v+ S+ R% R# K$ LSlope, 斜率
7 h% p T) l: nSmirnov test, 斯米尔诺夫检验
! O% E/ W; C- Z7 J3 G8 h8 RSource of variation, 变异来源
# ^" c1 s* ]+ rSpearman rank correlation, 斯皮尔曼等级相关
3 T: K+ c% E! E) ^. s6 Q1 p8 xSpecific factor, 特殊因子2 e4 V7 F% z* ? i5 l
Specific factor variance, 特殊因子方差
3 s8 ?9 g- u- I6 i5 }) x- J/ DSpectra , 频谱- u' w6 A0 ^0 x- W' f
Spherical distribution, 球型正态分布' x2 E3 L& |2 m8 @
Spread, 展布# ]& G1 J. y' m, Q# `. |
SPSS(Statistical package for the social science), SPSS统计软件包" T( }6 |7 p4 O4 z! `/ Y
Spurious correlation, 假性相关: e4 r! a4 S8 N% n0 @& p- n% j
Square root transformation, 平方根变换8 d. }+ C8 {# F$ w
Stabilizing variance, 稳定方差
. B. o* e( M8 v WStandard deviation, 标准差
2 S- o$ _- T! N/ g6 MStandard error, 标准误8 _6 A4 i; ]& h; T* ] J& F- Q. w
Standard error of difference, 差别的标准误
! J" S+ e7 D. I1 K, F1 VStandard error of estimate, 标准估计误差
$ g9 Q6 y; e: ]( n+ p( BStandard error of rate, 率的标准误7 D6 u/ R* D& ~) E
Standard normal distribution, 标准正态分布
' U8 ?) Q- H( k4 P* nStandardization, 标准化% b5 c- b1 U# J" G; t: \
Starting value, 起始值7 ^- Q$ ]4 g: j8 K# J* r$ B
Statistic, 统计量
4 X* `% G+ |6 d' |; M& IStatistical control, 统计控制3 P0 Y1 S A2 w/ H9 c
Statistical graph, 统计图$ B0 d: W0 b# }! [ ^+ s
Statistical inference, 统计推断
& `$ o+ V% O) S' \Statistical table, 统计表
$ J9 {) u4 ?+ q% xSteepest descent, 最速下降法
" w% x% g* R! p9 R+ zStem and leaf display, 茎叶图- W: X; H0 K' z+ v% ^: X# S- H! {
Step factor, 步长因子
; W ?( }8 f/ C- S% gStepwise regression, 逐步回归' L# K; E0 _6 ]! R2 D: Z
Storage, 存
% {6 e6 `4 h) g, C& K, b W0 S. UStrata, 层（复数）3 {8 Y5 p" ^. F/ }2 q x0 T
Stratified sampling, 分层抽样
5 ^" k& H# R7 [5 A4 m6 B& D4 h: rStratified sampling, 分层抽样
+ E4 G4 W( V( Z: _3 zStrength, 强度- {0 M+ F# b$ j; Y$ _$ k3 n
Stringency, 严密性0 k$ S! P* ~" H- d: p
Structural relationship, 结构关系
* X2 r" n0 O6 q, k# e- u; VStudentized residual, 学生化残差/t化残差
; o; _$ c' n1 zSub-class numbers, 次级组含量( Y- w+ }3 B6 F$ e8 z
Subdividing, 分割
' D$ i+ P# L9 I2 s" J; \Sufficient statistic, 充分统计量
1 o1 M5 N$ j( {6 n% @( g eSum of products, 积和' D. Q, S1 S* C' g' l
Sum of squares, 离差平方和
8 Z+ ?2 G a4 H( |5 @# PSum of squares about regression, 回归平方和
}$ M) j6 `0 D* h- f$ ?8 B B( m: R5 cSum of squares between groups, 组间平方和
* i' ]2 c- ]' {+ s [Sum of squares of partial regression, 偏回归平方和
4 e+ G, K& K. jSure event, 必然事件( K) a' T, _+ f" L5 V
Survey, 调查8 x1 {! R8 I& S8 ]7 ?$ j
Survival, 生存分析
' @, Q9 @# u* {- G( A8 J7 XSurvival rate, 生存率, |, ^4 d% ~ W9 B" W
Suspended root gram, 悬吊根图5 R* G! W; }' @4 Z4 y
Symmetry, 对称) m9 [5 ~ n" ` {) w+ i! ~: I
Systematic error, 系统误差5 b; a% R4 l2 N: H6 I) x' u& b$ Z
Systematic sampling, 系统抽样. p8 E V0 r$ k, z
Tags, 标签: S! U1 W8 [( b' T) o" `& w) d
Tail area, 尾部面积
6 ~9 b! J- }0 m" e$ jTail length, 尾长% y1 F9 J4 G5 V/ m/ `* t( J3 Z. s
Tail weight, 尾重' y/ p* H0 h$ ?; s% W" s4 o
Tangent line, 切线
3 J1 @5 o" u4 \Target distribution, 目标分布
/ L: C4 Y F/ y9 h( iTaylor series, 泰勒级数
0 H1 m+ K, K& t" W: N& wTendency of dispersion, 离散趋势
4 q" y# P0 [1 O1 |Testing of hypotheses, 假设检验 P4 \( N- c% n5 {1 ]
Theoretical frequency, 理论频数
2 K: U4 N$ M- w [, k% I3 HTime series, 时间序列
6 m( h6 ]0 S2 }/ GTolerance interval, 容忍区间
8 A0 H; _3 c5 E& O5 o' p HTolerance lower limit, 容忍下限* h) ]/ C& M k! f6 ^
Tolerance upper limit, 容忍上限
5 K3 E+ B- j, O C( pTorsion, 扰率
9 f, t0 q# z+ Y8 `6 n0 l* cTotal sum of square, 总平方和
5 D9 R" ^) N9 g% ?, Q# m/ ~3 m) e8 MTotal variation, 总变异* q; y E5 L9 ~3 v6 \9 m+ x. S& P3 A6 {
Transformation, 转换1 l% w- d- J( l {6 ^0 `
Treatment, 处理
* Z9 Z9 Y- F) h% N' `9 }Trend, 趋势 E: J9 M2 L2 S/ [, u& f
Trend of percentage, 百分比趋势$ m3 z' A1 t' L# _) s
Trial, 试验
/ `8 K' ~5 L8 e6 ~' \Trial and error method, 试错法
. z+ [6 J, y* D+ x; e7 ?" Y% zTuning constant, 细调常数
" W2 h2 Y: g& W. gTwo sided test, 双向检验
) h Q: [9 L8 l' t! w3 i6 @Two-stage least squares, 二阶最小平方- {7 Q2 G) h. J+ D; o$ i. ~
Two-stage sampling, 二阶段抽样! Q2 V- D4 N4 t2 f+ Q
Two-tailed test, 双侧检验% h* e8 Z( K5 x5 `, S2 L
Two-way analysis of variance, 双因素方差分析 X. L% T* B$ T9 g0 u
Two-way table, 双向表( [7 \# Z. a5 I
Type I error, 一类错误/α错误. a% [0 n; F |% v2 v. w
Type II error, 二类错误/β错误
) l$ e$ I# A) }4 GUMVU, 方差一致最小无偏估计简称1 s" j3 ]2 h/ E$ U/ H8 N
Unbiased estimate, 无偏估计/ @+ l3 `2 F. P, ~
Unconstrained nonlinear regression , 无约束非线性回归
3 Y+ D2 ]' q! p- z% Q( mUnequal subclass number, 不等次级组含量 f9 S7 s; T( W5 g! a% Q& |
Ungrouped data, 不分组资料# q6 D, ]9 M Y( G
Uniform coordinate, 均匀坐标
0 d( h; o7 a- h% IUniform distribution, 均匀分布6 B+ U0 O A# j
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计( { q% x' E. M9 d5 B3 e5 S
Unit, 单元& ]+ `- D8 p# m7 z/ E- V# _% _
Unordered categories, 无序分类
& U! O' X# v& Y1 q IUpper limit, 上限/ F5 E# D: v+ q: L% v# D; P
Upward rank, 升秩3 N' j& L4 G" a2 |( H
Vague concept, 模糊概念
" i6 h% J" ?& S3 VValidity, 有效性. X. u: X& T* U& q& t4 ]
VARCOMP (Variance component estimation), 方差元素估计
+ S1 ], {7 Z) G, B% wVariability, 变异性
; f+ N* e$ g+ z, H8 WVariable, 变量+ V7 m: _3 `7 b' B; X+ Z& Z1 u: g
Variance, 方差, [9 b( y3 S; a2 }+ P# R
Variation, 变异
& g3 w- v3 Q+ i/ X% g& ^7 g2 [ KVarimax orthogonal rotation, 方差最大正交旋转7 q T1 n9 ?; x3 ?. {0 D# w6 [
Volume of distribution, 容积( o; b, z* e. k% w4 j; o$ M
W test, W检验
, `, ?' X" e: }# ` p$ a1 ~Weibull distribution, 威布尔分布
& k1 _! o- K, p W" f/ EWeight, 权数- y' |5 m' _5 [& o
Weighted Chi-square test, 加权卡方检验/Cochran检验
8 y, ~. K h2 s* YWeighted linear regression method, 加权直线回归* t3 v- O+ G9 t! c' \1 F. M% Z
Weighted mean, 加权平均数; H3 B4 ?- h$ [/ U7 \
Weighted mean square, 加权平均方差7 ?$ Z0 P' z% x+ x3 X% Q' Y, T7 H
Weighted sum of square, 加权平方和+ [1 ~, ^9 G6 t& O
Weighting coefficient, 权重系数: g( X4 S/ l: r8 [; c7 h
Weighting method, 加权法 : D W; T' d$ \. L* q5 x8 i+ q
W-estimation, W估计量! s. c) p- Z8 p* p& J
W-estimation of location, 位置W估计量
, z# o0 B+ \% PWidth, 宽度 s% W" n* Q, y4 A d, J. g( o* N1 }
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
v9 u8 F9 Z/ I( F6 ?/ OWild point, 野点/狂点
9 _( \4 }+ }7 s- VWild value, 野值/狂值/ j+ i d: F: @* r) I
Winsorized mean, 缩尾均值
3 \2 @7 o8 c! s: `! B+ }6 jWithdraw, 失访
# `* ?4 p9 y# ]# q- p# j0 V( jYouden's index, 尤登指数
. I* f1 z) y+ |. ~: T# nZ test, Z检验
: S! g9 B( J: Q( E# a( W9 a ^- ?; ?Zero correlation, 零相关
* ?: }3 X9 m$ s" @# nZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
