|
|
Absolute deviation, 绝对离差# ~2 s. q. e% S% W) D
Absolute number, 绝对数6 T; t: _1 H9 m/ @
Absolute residuals, 绝对残差
- X' }3 v1 E; M& l3 m' e: h7 D% {Acceleration array, 加速度立体阵% ?) f! C5 i9 ~% O
Acceleration in an arbitrary direction, 任意方向上的加速度
# `* K+ o, |5 b" b9 ~( J& U: ]Acceleration normal, 法向加速度% a8 G) X0 B/ u. _
Acceleration space dimension, 加速度空间的维数8 l5 o) i" o( R3 J) v+ V
Acceleration tangential, 切向加速度
/ y! V: Y- i Q s$ qAcceleration vector, 加速度向量
K" n( B6 z9 d) ]) X4 \Acceptable hypothesis, 可接受假设, K/ @: u4 Z/ d$ ]
Accumulation, 累积
+ m: x% ~- l0 _9 vAccuracy, 准确度
0 T& E4 j" L- ]- ~( b- wActual frequency, 实际频数
( Z; ^% f* n: ^& y7 W1 YAdaptive estimator, 自适应估计量
5 f& C o( T, G6 Y* u2 Z' QAddition, 相加
; p9 E; `, M! d$ q7 M9 e- rAddition theorem, 加法定理
5 H4 H: @3 w N1 N! ?! GAdditivity, 可加性
' c% e0 _) s2 j+ V4 A+ QAdjusted rate, 调整率
9 R1 A; N! \6 E4 ^Adjusted value, 校正值$ ?1 p' ]" d- N3 ~: N* m- s- o u
Admissible error, 容许误差
+ V9 U# ~; m0 T; W+ LAggregation, 聚集性
8 ?/ I, L* x; h6 Y" O; Z, cAlternative hypothesis, 备择假设1 ~$ W( T2 Y6 k8 `
Among groups, 组间
4 L2 h2 ]: ~& S8 CAmounts, 总量
$ F; s, I p- K6 eAnalysis of correlation, 相关分析. m" u) `& c1 ]- z
Analysis of covariance, 协方差分析
6 q" a# b e+ ?5 ZAnalysis of regression, 回归分析+ s0 |1 D# |7 y
Analysis of time series, 时间序列分析
* \3 ~; u$ h8 eAnalysis of variance, 方差分析
{1 E3 D a- ~Angular transformation, 角转换
, L2 @# u0 Y5 w1 x8 |" J. zANOVA （analysis of variance）, 方差分析4 ^" R" V9 @: x7 {
ANOVA Models, 方差分析模型
" {+ {7 |7 i$ t5 sArcing, 弧/弧旋
, D/ x/ E! D2 t8 f: O: YArcsine transformation, 反正弦变换
' ~- I+ W4 M8 FArea under the curve, 曲线面积8 c ]9 Z: G1 q+ B0 A
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
1 Y" p% B+ S4 {5 j( g2 IARIMA, 季节和非季节性单变量模型的极大似然估计 * r; {$ P; M) n9 H0 \& A* @3 v
Arithmetic grid paper, 算术格纸; c& f5 F2 @( ?6 p+ h; b; ^9 N
Arithmetic mean, 算术平均数
6 q; ?. \1 M, X& f1 y3 kArrhenius relation, 艾恩尼斯关系
( n& G) }$ l2 r; E8 w3 j3 c% j9 QAssessing fit, 拟合的评估
& Z6 {1 j' ?$ a G- {8 AAssociative laws, 结合律
3 u3 n! O- C1 g& ]: {1 sAsymmetric distribution, 非对称分布
, t0 t1 A1 B8 r8 Z8 tAsymptotic bias, 渐近偏倚+ S: R- p! }+ h+ S4 [4 K( E5 x
Asymptotic efficiency, 渐近效率
. f# ^7 _' {0 b' xAsymptotic variance, 渐近方差
; G9 K8 W4 F- Z5 U, |+ mAttributable risk, 归因危险度
( X% {5 G; s* `9 [: h. JAttribute data, 属性资料/ b" |5 r9 t# f+ e& D4 j t
Attribution, 属性1 [; z- L$ Y4 a
Autocorrelation, 自相关
! W9 }5 T% d. ^Autocorrelation of residuals, 残差的自相关$ i) a' r, t, f+ D" Q
Average, 平均数
# f- c! G1 P. s+ vAverage confidence interval length, 平均置信区间长度6 P- M' L% F% B- F4 U; q
Average growth rate, 平均增长率& n& G5 ]. E% d- p
Bar chart, 条形图+ y, X. D" c% n# ^0 y5 Z5 P
Bar graph, 条形图. i) F: u- k5 N0 p6 O. d
Base period, 基期/ s0 Q( M7 Q5 R! u4 l
Bayes' theorem , Bayes定理& N4 a! p9 _* \, ~
Bell-shaped curve, 钟形曲线
. R2 P0 c- ~* `8 |Bernoulli distribution, 伯努力分布
; K, u, ?6 b" p4 M, z4 y& OBest-trim estimator, 最好切尾估计量
4 @7 z# E' {' I* w$ z3 w& cBias, 偏性
4 h" E- t. _8 d8 i5 ?4 _2 WBinary logistic regression, 二元逻辑斯蒂回归7 s i% A6 J2 U) L. t
Binomial distribution, 二项分布
9 q8 ~3 f; \7 C; V- C0 fBisquare, 双平方4 R4 Y, O; P. Y) U% m$ m
Bivariate Correlate, 二变量相关* Z* T) Y y4 W! ]2 z" P
Bivariate normal distribution, 双变量正态分布! }1 s; {4 F& m( \4 a4 I8 r- q
Bivariate normal population, 双变量正态总体
$ G8 B* V2 Y- v8 v. yBiweight interval, 双权区间
T8 w. C# O3 s$ \! U- y$ {Biweight M-estimator, 双权M估计量
6 T0 [+ K% o1 `: F* _Block, 区组/配伍组
: N! F0 J- u5 @1 yBMDP(Biomedical computer programs), BMDP统计软件包
% ?2 F* }+ n t+ \# U: p% `Boxplots, 箱线图/箱尾图' Y7 C1 l9 {- X, r
Breakdown bound, 崩溃界/崩溃点
& M0 R2 {) u% N& t7 n) YCanonical correlation, 典型相关
* j9 B, \, q l+ E$ g- n- G0 HCaption, 纵标目
8 ?5 k( v; R9 K( Z1 Q- T0 CCase-control study, 病例对照研究/ c& P/ T6 x! U4 c! W
Categorical variable, 分类变量
8 i' W: ?: y3 h- }8 q: w( k2 WCatenary, 悬链线% V/ X1 @0 z' ~4 x
Cauchy distribution, 柯西分布
3 `( Y( W6 t9 LCause-and-effect relationship, 因果关系. L+ L3 m8 d7 P0 w% M
Cell, 单元0 A$ m( i6 l+ P5 D
Censoring, 终检
4 ~0 ~$ ^+ J! DCenter of symmetry, 对称中心
/ x( M/ g" i2 b. m: |" TCentering and scaling, 中心化和定标
( j2 C# ~0 O& W& N, u0 `Central tendency, 集中趋势9 | v4 {7 e) h( m
Central value, 中心值$ t* I0 Q4 \* k# N7 S8 L4 r
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测! z, t6 O) C. y2 u H4 z
Chance, 机遇
1 \- x. v: p0 c h* B# lChance error, 随机误差/ m1 I" f2 E8 B8 F5 l0 f( C/ @
Chance variable, 随机变量: P6 d$ a8 L8 M' T. x$ K$ r
Characteristic equation, 特征方程
8 p; G# B3 ~% c& D* NCharacteristic root, 特征根- c' V' X0 Z) X/ n R% q1 g# \
Characteristic vector, 特征向量
8 W; Z; V. l; s! u1 gChebshev criterion of fit, 拟合的切比雪夫准则
% o! }$ W9 @0 R- p9 ^7 E! |Chernoff faces, 切尔诺夫脸谱图! J( ]6 j) |# t2 J' f/ E
Chi-square test, 卡方检验/χ2检验
' E: G" T! p* ^0 HCholeskey decomposition, 乔洛斯基分解
: t+ e5 X6 {* ACircle chart, 圆图
7 {6 h4 S% ?2 ^3 T/ K* x9 |7 hClass interval, 组距
& S% E4 g8 D. {' a* v) e( M; {Class mid-value, 组中值) ]: G. m5 z' L7 Q
Class upper limit, 组上限4 i% w( N; ] ]9 w- v/ B' |
Classified variable, 分类变量
% I! N' W* J0 T# OCluster analysis, 聚类分析, y7 A: j% C- n5 g* f% H. D5 V
Cluster sampling, 整群抽样
: k* J5 F) h% u1 a4 r xCode, 代码
- z0 W4 a5 R% t& u' HCoded data, 编码数据
! Z9 v3 u% e/ R* B. p+ \+ jCoding, 编码
3 P" G5 K+ k- k8 L* N UCoefficient of contingency, 列联系数
4 V; e. p' W8 w9 Z" y. o9 yCoefficient of determination, 决定系数
* }9 w) [8 @: Z* OCoefficient of multiple correlation, 多重相关系数
/ Q5 s% y5 `- m" iCoefficient of partial correlation, 偏相关系数
( O- q! [. ]9 G6 BCoefficient of production-moment correlation, 积差相关系数7 W% L1 Y b" M; e" D5 h4 L1 q" H
Coefficient of rank correlation, 等级相关系数
8 u- J' u8 O/ k. b% |6 d& \+ gCoefficient of regression, 回归系数
9 f4 Y% X2 f' {+ S% }" j3 GCoefficient of skewness, 偏度系数0 K( }1 Z4 Y, n9 ]. a# |' U
Coefficient of variation, 变异系数2 ^1 ?, o- @1 B; @) u0 ]) Q$ e
Cohort study, 队列研究
7 z( ~! v1 T: N! M% ^Column, 列( b& g: h) B( N
Column effect, 列效应1 l' L" h1 V7 \( ?7 K( ]! n
Column factor, 列因素
, r+ d0 N/ w1 \ l5 z: N! YCombination pool, 合并( i- M# @# o( I. B
Combinative table, 组合表
' G' W/ g9 ^1 J4 S2 fCommon factor, 共性因子
# U3 L+ D" L' ^7 ~Common regression coefficient, 公共回归系数
" i+ W9 b! _& V5 ACommon value, 共同值. k g7 J# j% c* x% L) O9 J
Common variance, 公共方差8 m" Z5 ~' `% F: I
Common variation, 公共变异* D8 p/ i8 m) g6 i a
Communality variance, 共性方差6 [& g( S2 h" p
Comparability, 可比性
- e- t; v# ^( V" b2 G' A" }4 ?Comparison of bathes, 批比较
' i- P/ S% @# Q4 |7 y. CComparison value, 比较值
, \: F2 ?% d) I8 B7 b. I) iCompartment model, 分部模型7 Z& _8 w) b1 ~8 I
Compassion, 伸缩- o9 F/ z1 l2 l$ k2 q% b( s3 I
Complement of an event, 补事件
0 _) [; i! F% q7 Q9 BComplete association, 完全正相关
! C7 N& V" r0 DComplete dissociation, 完全不相关/ [9 }7 Z, _& ]% R1 D4 b
Complete statistics, 完备统计量
0 \* t9 h) F1 d& I1 d" uCompletely randomized design, 完全随机化设计
" U: K% ~/ F$ | ^( P" ?1 MComposite event, 联合事件0 E1 ~' ]1 w! Z
Composite events, 复合事件' J r" o8 v. m2 k2 N
Concavity, 凹性
; Q- A9 ]" s7 oConditional expectation, 条件期望
) H. i' e2 @: N2 m) HConditional likelihood, 条件似然$ M" Z( H5 d, s: I6 Y) s
Conditional probability, 条件概率
5 `9 C3 D3 a- Q# V0 O' k* uConditionally linear, 依条件线性
4 R0 V t0 o% s$ C. aConfidence interval, 置信区间- X' s4 {& u1 R3 ]* r" E; g
Confidence limit, 置信限- H N$ T* p0 k% y% V
Confidence lower limit, 置信下限
; ~: r- ^/ g+ S/ sConfidence upper limit, 置信上限' ?9 P4 v) Z( s8 X1 P& g$ J
Confirmatory Factor Analysis , 验证性因子分析9 V$ w% ]0 G2 c, c. B: [
Confirmatory research, 证实性实验研究! C% j, I1 I: s# ]- W
Confounding factor, 混杂因素
& h3 ^( r! T1 aConjoint, 联合分析
6 P- i# V- q; TConsistency, 相合性
5 G: y( v4 Y+ KConsistency check, 一致性检验
$ {9 n B/ P: H+ r1 J) {2 d. d. iConsistent asymptotically normal estimate, 相合渐近正态估计
* {4 |' `6 ^+ U7 E" ZConsistent estimate, 相合估计% w& r) G- v# A- S
Constrained nonlinear regression, 受约束非线性回归
1 u( W, }# J5 C! G1 \0 c8 N$ }: {Constraint, 约束
" E/ v8 N$ q8 r a% U. u; o7 q8 XContaminated distribution, 污染分布# S3 G# S/ F9 e
Contaminated Gausssian, 污染高斯分布
, a( r, J( g2 W+ b) h5 e( uContaminated normal distribution, 污染正态分布
6 y5 W5 }/ R& [- S! `Contamination, 污染
# k3 B5 W8 Y: r: {Contamination model, 污染模型
) j5 S* X2 L# FContingency table, 列联表( A3 G E b; H1 @7 q. f
Contour, 边界线
$ O" S1 u( E4 UContribution rate, 贡献率6 q1 [- y4 g$ L3 ?: G
Control, 对照
& e' d. _9 q oControlled experiments, 对照实验
9 M% U B' R- B; p7 eConventional depth, 常规深度
. n' [5 D2 k2 Y0 SConvolution, 卷积1 F% [8 j/ d( P( d1 u
Corrected factor, 校正因子
. v6 B/ I+ R. B# f2 {$ O6 t4 Y5 T7 A' R9 \Corrected mean, 校正均值( D" n9 E" t$ V
Correction coefficient, 校正系数
4 d/ x. o" {2 Y' Q1 P# _3 BCorrectness, 正确性/ o# \* u* N2 v4 L- b# _5 ^5 P
Correlation coefficient, 相关系数
+ S0 T {% U* J; n/ ]( C& `9 N: h6 lCorrelation index, 相关指数7 p$ b7 w9 j7 K; |
Correspondence, 对应
: W1 i1 W* {9 G6 t/ wCounting, 计数# Y* J6 A$ G# x) V4 q5 k/ m
Counts, 计数/频数6 c' e3 U- w8 O0 Q$ G# v, `
Covariance, 协方差. w9 F z( q. s- r9 M
Covariant, 共变 # L9 E1 L4 E: I. U4 g% ^" n
Cox Regression, Cox回归
( f! h) U/ T+ Z/ _4 \9 c5 }, KCriteria for fitting, 拟合准则
7 m3 P' _, P* e2 v1 |" P, t. pCriteria of least squares, 最小二乘准则
8 r; X. q Y: Y) A' l/ A, R. E8 iCritical ratio, 临界比+ f7 l$ v* z2 y: \. f3 [. Q
Critical region, 拒绝域
) i' [3 M. A, w+ uCritical value, 临界值+ c m/ V' H3 `% W- `5 {3 y
Cross-over design, 交叉设计
* v B/ T9 z4 z8 [* B0 H$ hCross-section analysis, 横断面分析
- e- o" O& C( qCross-section survey, 横断面调查
4 U% R/ O% L8 e# I w' ~/ R! J. yCrosstabs , 交叉表 / x! g5 A- K, \3 }; @ v" P1 q; O) ^+ w4 h
Cross-tabulation table, 复合表
3 p9 m- V' z9 ^, SCube root, 立方根
; }" L3 j0 I2 U$ o# q2 HCumulative distribution function, 分布函数
4 D% q" X( S4 T0 N' H% xCumulative probability, 累计概率0 M; p% A# W2 w
Curvature, 曲率/弯曲
% V" Y* o4 D7 T; ]5 fCurvature, 曲率) [0 s6 R( {& r8 @0 i# |
Curve fit , 曲线拟和
* I! j' F# p$ L* I! L4 fCurve fitting, 曲线拟合) E. R6 ?' A3 j5 B5 n
Curvilinear regression, 曲线回归
9 Q7 J+ `, D+ fCurvilinear relation, 曲线关系
( [% t$ \; O) g- N7 u5 jCut-and-try method, 尝试法# @4 H4 r9 L2 r" F X% I; O: D
Cycle, 周期3 a" O3 v% \: L9 z8 `0 t' R+ k
Cyclist, 周期性% R+ R1 j) u6 z5 w# z
D test, D检验
' s5 j* _ t( d- u2 lData acquisition, 资料收集
, T" t/ P" |/ f( {& d7 i8 v9 Q3 zData bank, 数据库( l* G4 C! H. }& i" n
Data capacity, 数据容量( W' @. {# v) I7 }6 _- i
Data deficiencies, 数据缺乏
$ W X! b, ?8 ?% N! b' ^) k" IData handling, 数据处理
9 ^: ?0 A+ \1 `: ~) {; _7 q JData manipulation, 数据处理9 P$ `6 F1 e- T; O t$ I
Data processing, 数据处理; [/ p# z* ~3 ~$ p2 i
Data reduction, 数据缩减: b! v0 h) P! z0 s7 I
Data set, 数据集
* S3 ^2 U" X6 ^" d, W+ z: f% Z- ~Data sources, 数据来源
9 b U Q3 A' E2 |2 r& z' sData transformation, 数据变换
; Z2 f" I3 m3 Z9 }% A; tData validity, 数据有效性! |% ~9 O. Z/ W, F7 g
Data-in, 数据输入' _ Z, o7 R& w& E3 j
Data-out, 数据输出 i8 e4 E# P7 r: ~" @
Dead time, 停滞期
6 G/ {8 \* B. \1 y* Q6 }3 v" I2 SDegree of freedom, 自由度9 U: U6 S" p. A$ M0 z( Y
Degree of precision, 精密度 ^7 r: [& {2 K7 ~+ S
Degree of reliability, 可靠性程度
3 N$ C( T6 R( P/ Q& u1 CDegression, 递减/ D1 A3 L& @2 r! N
Density function, 密度函数
* o, _, m) Y4 @' WDensity of data points, 数据点的密度4 \5 W- m- Z3 B8 f
Dependent variable, 应变量/依变量/因变量
8 S2 I2 \( B% B( H I4 f$ K" ^Dependent variable, 因变量7 g/ z' Z' p9 i4 Y( v8 d) h
Depth, 深度" g6 A* _$ d. _, v. q* n+ \
Derivative matrix, 导数矩阵) [2 U/ N$ f0 S8 g" h
Derivative-free methods, 无导数方法
8 H+ ]% f% p# S$ eDesign, 设计' ^5 K& o, y- G k& N
Determinacy, 确定性( U2 {, u- x5 A3 g* g3 X
Determinant, 行列式
1 f |* s: f' H0 @. W- l& GDeterminant, 决定因素
5 J4 p4 ^% @$ |: HDeviation, 离差) o7 w5 I3 g! X# x* q% u$ t
Deviation from average, 离均差
) o- V* l5 |/ J7 l0 X4 E( M2 u: l6 ?Diagnostic plot, 诊断图0 \; y, g* l% Y& E9 V# r7 _
Dichotomous variable, 二分变量3 l' y+ _- {" J y0 [% ?' O
Differential equation, 微分方程- H0 ?6 `- K) h- z/ M0 C3 ~
Direct standardization, 直接标准化法; G, G4 f. ]+ H/ _1 W. y# ?
Discrete variable, 离散型变量$ N. a: d& |' M3 y5 r' U
DISCRIMINANT, 判断
6 z6 [( h N) i$ }; @Discriminant analysis, 判别分析
/ I) O6 |0 M1 m }/ P4 eDiscriminant coefficient, 判别系数% x, f7 C/ r- W
Discriminant function, 判别值, p$ s6 P7 }; f3 @
Dispersion, 散布/分散度
, b8 t& x% b3 [/ j0 e DDisproportional, 不成比例的* j7 _* w8 i) |" a! u F; B
Disproportionate sub-class numbers, 不成比例次级组含量
, ]2 H0 v: m- y) Y z: Q, K, SDistribution free, 分布无关性/免分布" m* H% r" l/ Q: D& w8 L
Distribution shape, 分布形状
$ H1 a( U- i! c9 D0 A g/ XDistribution-free method, 任意分布法. f3 l7 D1 k& ]* h
Distributive laws, 分配律
( y$ @, Y2 D3 vDisturbance, 随机扰动项# ~% P* u1 J! y. c
Dose response curve, 剂量反应曲线: l1 |9 e8 h7 i
Double blind method, 双盲法# m. H8 k9 [8 i9 \. @0 T( }* t
Double blind trial, 双盲试验% m N. b' `: Q' Q3 T+ M. {
Double exponential distribution, 双指数分布
8 z% |3 E$ N. t: \0 W' u- IDouble logarithmic, 双对数
, }- Q% q" M2 X% Z: Z. o# ~9 bDownward rank, 降秩 L) y7 x" N; ]; x
Dual-space plot, 对偶空间图3 _9 j9 D1 g0 X r: G
DUD, 无导数方法
# {, a! F$ \5 \+ d" {Duncan's new multiple range method, 新复极差法/Duncan新法
0 V, Q/ _ I* g% G& m: O1 y& I# hEffect, 实验效应
2 O: O- M; L+ ~& pEigenvalue, 特征值
( ^2 i3 K7 E+ BEigenvector, 特征向量
3 W2 p% j( T" ^: i% ^1 aEllipse, 椭圆9 M5 p l) _: @" l( \
Empirical distribution, 经验分布3 ^: f4 v0 C: s3 R) K D* z" x
Empirical probability, 经验概率单位3 W( {3 M$ ^; o8 f
Enumeration data, 计数资料
2 K; i% q, A1 n9 fEqual sun-class number, 相等次级组含量
$ ~* m V0 V2 P- |Equally likely, 等可能% _, D# `; E3 T1 N& L
Equivariance, 同变性
5 W( N' h* |* W, k) CError, 误差/错误0 \7 g* b1 z% P. B% l8 |
Error of estimate, 估计误差' U8 @, F6 T0 L X3 S9 F m
Error type I, 第一类错误
4 \& P Y/ a% j: G; ]+ i* h% ^Error type II, 第二类错误, U1 `+ t1 |7 f$ w, g( q% W( B
Estimand, 被估量
" C0 ? H6 g a# r! hEstimated error mean squares, 估计误差均方+ [% I' ]% M4 x! `/ p
Estimated error sum of squares, 估计误差平方和3 S, k( U* w9 C# J7 c
Euclidean distance, 欧式距离 |6 U% _2 [& j* U% o- g6 q& ]0 }
Event, 事件" g) Z9 M' S$ s3 Z- Y8 j4 p
Event, 事件
0 I: `! Z2 c: U. @( L. d' VExceptional data point, 异常数据点 v. C9 u% [8 L/ R& M. z3 h" a
Expectation plane, 期望平面
+ H9 y' {9 D; d9 SExpectation surface, 期望曲面
( n: Q, C% v7 B" |Expected values, 期望值" D9 m' X. z7 ~; a
Experiment, 实验7 y4 l8 U w8 Y/ O& q3 q
Experimental sampling, 试验抽样$ a2 s$ n/ H- d5 y% E! q
Experimental unit, 试验单位$ P: ]% q* e& Q( C
Explanatory variable, 说明变量
- l: ~) n, c5 b" H7 V+ Y6 yExploratory data analysis, 探索性数据分析
A# @) \ k/ f; dExplore Summarize, 探索-摘要. F6 w: X( q7 ?& A9 E
Exponential curve, 指数曲线$ M3 v% Y8 k) X8 s O, L
Exponential growth, 指数式增长3 b) q$ p* T6 C4 I
EXSMOOTH, 指数平滑方法
! j( r! A; ^- H$ Y0 jExtended fit, 扩充拟合9 b1 l3 o" V& T. P# x# F
Extra parameter, 附加参数% N" a: J3 M' D7 o7 w- q5 ~
Extrapolation, 外推法
; [/ N2 Q" v' \# U6 zExtreme observation, 末端观测值
2 W- o. B f& R9 ?$ f K+ R. \Extremes, 极端值/极值) X3 W/ C. r( y1 A! E, X& F/ H
F distribution, F分布3 W6 n. |6 q f7 R9 Q7 X
F test, F检验; T8 J! C% k$ [* a! q; H2 \
Factor, 因素/因子$ h' t9 D2 E/ R! S6 T
Factor analysis, 因子分析
. d# |7 R- Z& H4 t+ T XFactor Analysis, 因子分析 X3 q2 C @! n
Factor score, 因子得分
1 C+ D* O( `( v, a# W; }" [9 V( ZFactorial, 阶乘
0 D g9 B* p: |+ D1 lFactorial design, 析因试验设计6 J9 X9 Y& n7 p7 ]- K
False negative, 假阴性
w- `0 F9 h/ E; V+ I: gFalse negative error, 假阴性错误
! W0 t$ b6 ?# Y6 J& r5 iFamily of distributions, 分布族# K* t6 |2 ]4 V5 n% t* G: y; |) E
Family of estimators, 估计量族" }. Z+ g) g( J3 H( W9 y8 j+ Q
Fanning, 扇面) f' @: X" X @5 F" L: _1 S
Fatality rate, 病死率- w1 e I T" ?6 x
Field investigation, 现场调查+ P1 S' [& x7 Q& i2 _" ?( b
Field survey, 现场调查
/ Y2 p3 h8 o( MFinite population, 有限总体; q4 ]& L; U3 ~! o h. ^7 k
Finite-sample, 有限样本4 e, ]5 o0 M& ~! U
First derivative, 一阶导数
7 U$ L! {8 R! x WFirst principal component, 第一主成分
- ^( W4 Z- l# B7 s8 GFirst quartile, 第一四分位数+ J# d0 L z8 j
Fisher information, 费雪信息量6 k# c$ c" |( [, e, h
Fitted value, 拟合值
) T' s7 F7 t7 w9 ?; OFitting a curve, 曲线拟合
% X* z& U8 _" pFixed base, 定基1 f% L8 e: F3 p& O% q3 [! M1 }
Fluctuation, 随机起伏
" T0 C( [/ N( l8 `: I% MForecast, 预测$ b" F. v9 M1 ?) ]
Four fold table, 四格表* K. n) |3 N- E& K
Fourth, 四分点* ^6 a4 M! K7 s$ {% c
Fraction blow, 左侧比率
1 Z q+ g; A9 M/ yFractional error, 相对误差
7 W6 q* F( v; n) ]4 } E+ E. FFrequency, 频率
% u1 t+ _% s" IFrequency polygon, 频数多边图
* i1 |3 S0 c* M9 fFrontier point, 界限点) ^6 o P: ]$ t# I& _$ b `' k$ s# u
Function relationship, 泛函关系
* w4 R. O: X3 w+ ^8 ?. K% eGamma distribution, 伽玛分布
+ z' Z# j/ S' \# ]+ M! i! x. ^* KGauss increment, 高斯增量, `+ [/ K& V2 Z( l5 L1 _" l3 Z2 z
Gaussian distribution, 高斯分布/正态分布$ D" D |( G8 u* i# r8 Q# Z: M% {
Gauss-Newton increment, 高斯-牛顿增量: X& V# i% E/ U* c! q+ r
General census, 全面普查
. H" D8 M$ [6 A6 NGENLOG (Generalized liner models), 广义线性模型
+ E: J6 N1 Q' Z! \8 | v) }, QGeometric mean, 几何平均数5 F0 t$ F; p5 Z0 Y8 w, c
Gini's mean difference, 基尼均差) v ` k& P w. V& K; C# d
GLM (General liner models), 一般线性模型
% M6 n3 P K9 E& h3 h' M$ MGoodness of fit, 拟和优度/配合度0 b7 e4 E" l3 B- I% S& C
Gradient of determinant, 行列式的梯度/ k) z; d1 d# ]6 D
Graeco-Latin square, 希腊拉丁方
; O; ?* s* g. Y, Z8 g5 o# SGrand mean, 总均值
, e* X8 }/ i7 v' I" B: eGross errors, 重大错误5 D d. m+ b- K+ U* i7 d
Gross-error sensitivity, 大错敏感度
+ ~2 `! E/ u9 Y) oGroup averages, 分组平均
2 U! p/ I0 y( b; XGrouped data, 分组资料
) x1 F! s' W$ _9 o0 u% z% q2 rGuessed mean, 假定平均数# }# _8 Q8 K, F- X3 [
Half-life, 半衰期4 }% o7 I. b* ^1 n" L$ {# I* E7 y1 i
Hampel M-estimators, 汉佩尔M估计量
6 D. Q& _' j0 kHappenstance, 偶然事件
4 |* \/ X$ s' J2 R/ a3 H' YHarmonic mean, 调和均数
, H* h$ N' w: o6 r5 t, cHazard function, 风险均数
% `9 V3 |# m; Z# V' f& m' IHazard rate, 风险率3 {7 G+ V; q7 O+ q
Heading, 标目 5 S' ^: C2 o) i& a7 U0 s
Heavy-tailed distribution, 重尾分布
6 j7 H$ T3 C: T3 b3 k( c7 mHessian array, 海森立体阵; D8 p; x0 h1 P- Y l4 D
Heterogeneity, 不同质: c1 l7 J! p# g/ U& q8 ]
Heterogeneity of variance, 方差不齐
0 |$ C( i( H( SHierarchical classification, 组内分组+ R& Z8 ]" R" A1 y
Hierarchical clustering method, 系统聚类法
0 Z! d- L$ a! t- C& }High-leverage point, 高杠杆率点4 |) H* S& w& X% R& }
HILOGLINEAR, 多维列联表的层次对数线性模型
7 Z' X* l4 v- N& iHinge, 折叶点0 D2 @; \, a1 d& @: t8 W( P
Histogram, 直方图
2 g& y- k9 |* c, {9 sHistorical cohort study, 历史性队列研究
; }: h2 w' k' N0 ^ Q+ T2 [) MHoles, 空洞% w# A; g) C* U: K) P: n$ z; ?
HOMALS, 多重响应分析
7 G( h/ F9 g/ c8 v3 FHomogeneity of variance, 方差齐性3 D S. k2 a) K, ?. A) C
Homogeneity test, 齐性检验% F2 v/ u+ R6 X* A
Huber M-estimators, 休伯M估计量# r% C4 _+ h+ N% V' `
Hyperbola, 双曲线% A, x' D8 Q* U$ L1 J4 @5 Q, `
Hypothesis testing, 假设检验
& [0 k9 Z4 J% e/ gHypothetical universe, 假设总体
% C! e+ D% d9 [- ~, T- hImpossible event, 不可能事件
0 I) u, {1 b& XIndependence, 独立性
1 X K' y5 m& q/ F2 T. k/ GIndependent variable, 自变量$ N G1 P! ^& _8 o& n% C: ]
Index, 指标/指数4 z+ k4 \1 [# q; D8 G ]
Indirect standardization, 间接标准化法
# F5 J: V1 Z( V3 `$ ]+ h8 FIndividual, 个体. X2 l2 o5 f( P( D* \- O; \: _
Inference band, 推断带* [+ Y! L1 E% N! H1 `6 H2 J
Infinite population, 无限总体7 |7 X' B/ r) g2 ~# B3 e
Infinitely great, 无穷大( ~+ @5 p( N+ |/ F9 S7 m# Z; a
Infinitely small, 无穷小$ @# Z& [0 P6 W, s# h) d
Influence curve, 影响曲线: O# O% Z0 b' v$ F0 G! U2 m& S
Information capacity, 信息容量3 j3 _+ V& I; }4 y6 L9 U1 e
Initial condition, 初始条件
# `7 {- Y, |: N( j' l \Initial estimate, 初始估计值; d# h2 l) b" U' j
Initial level, 最初水平
! {6 R4 k3 p% Q( r& p O+ ?4 p& iInteraction, 交互作用
2 @! Z8 G7 v8 f" Z6 R; i, jInteraction terms, 交互作用项
/ B( V# p* v) X, J- y% ]Intercept, 截距
0 f2 @' j, a" z( X. U, l* vInterpolation, 内插法* e( `9 h! H; ] \% l* T3 k
Interquartile range, 四分位距
], k7 N6 ^# B9 ~5 N3 _Interval estimation, 区间估计0 n& g J$ w3 g: ^, z( g
Intervals of equal probability, 等概率区间
- K6 b |4 Q% RIntrinsic curvature, 固有曲率
! g, d, R: ]% e1 D2 CInvariance, 不变性
- ^/ g! W0 x6 ^( ?5 yInverse matrix, 逆矩阵 G! B k! L. L' \9 O+ I/ \
Inverse probability, 逆概率
) V% b! l( J1 t' r& L2 RInverse sine transformation, 反正弦变换
* N) v5 x* w$ AIteration, 迭代 " G( z$ s; k7 s' H
Jacobian determinant, 雅可比行列式
7 p% L0 _! E2 o' A9 X. JJoint distribution function, 分布函数& ^) t/ n# {% z) e
Joint probability, 联合概率3 P: D7 k9 {) K" m. ~' ?7 O: S" e
Joint probability distribution, 联合概率分布
1 H! t/ v' {* F' c$ ]/ X6 JK means method, 逐步聚类法
1 V) Z0 h3 {' oKaplan-Meier, 评估事件的时间长度
) ^6 o6 y8 c$ l: ~5 yKaplan-Merier chart, Kaplan-Merier图5 i' X1 H% @9 Q5 p Z
Kendall's rank correlation, Kendall等级相关9 Z0 A7 D# j6 e9 N/ p
Kinetic, 动力学. V1 r/ y- q! x' a$ \1 L
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验! Z$ |0 ^0 l* y
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
( H# Z/ G. `: C8 P2 z D5 s# AKurtosis, 峰度( q4 w" Z: Q) y* [5 w6 e
Lack of fit, 失拟4 l, Y" L, H, ~+ d
Ladder of powers, 幂阶梯% w3 s' W( M5 g, ~4 y
Lag, 滞后
! v& J; V$ q8 _$ {$ I; R) K3 \Large sample, 大样本
# h5 A' a# C0 ZLarge sample test, 大样本检验
4 g. ~8 A: W# _7 v, b9 w! ~Latin square, 拉丁方8 G) }; O3 ?; T0 M# A
Latin square design, 拉丁方设计( P. l& v& R/ i6 R5 f
Leakage, 泄漏
4 ]+ q0 M' L/ W- s3 SLeast favorable configuration, 最不利构形
7 A2 c+ r5 D/ o; f C2 \Least favorable distribution, 最不利分布; p7 P6 p* M, L# q
Least significant difference, 最小显著差法
) E6 f5 m1 j4 K! Z: h' V8 eLeast square method, 最小二乘法
: Z# U9 E, v; m6 h4 cLeast-absolute-residuals estimates, 最小绝对残差估计 X! S: c" J" m# p( G" T
Least-absolute-residuals fit, 最小绝对残差拟合+ z5 N& P$ P5 H( W5 A' j
Least-absolute-residuals line, 最小绝对残差线
O# I% L0 e: s' I0 M; ~7 XLegend, 图例
/ R+ c; Y4 G }L-estimator, L估计量
' l% A4 M/ L5 C5 @L-estimator of location, 位置L估计量7 {7 n; t7 y4 Z# S0 z7 Z$ s
L-estimator of scale, 尺度L估计量% n g/ W0 X2 L7 C
Level, 水平
& b4 F) X P# T; A8 GLife expectance, 预期期望寿命
! w M9 n( ?# K/ MLife table, 寿命表7 ]8 q/ y2 Q: P( ]0 a
Life table method, 生命表法
2 S! @% V- @* P" l$ T ~Light-tailed distribution, 轻尾分布! ?/ B; ?. |' G
Likelihood function, 似然函数5 y6 q+ [: B" m+ B ^
Likelihood ratio, 似然比 Q& d, A y( N' C8 {% a9 f
line graph, 线图
$ J4 F; |. x; WLinear correlation, 直线相关
- U- u) x% J! h8 d. G8 aLinear equation, 线性方程) Y9 w5 x8 S! }2 i
Linear programming, 线性规划
- P, i9 d: M+ k0 x: g- u: i K9 Q7 HLinear regression, 直线回归, v7 Q" m" F% ^& X4 `6 {) _7 r
Linear Regression, 线性回归
# F) X9 ~; o) p% k6 D7 V* f! dLinear trend, 线性趋势
# w9 y: G& L. u: N% ^& bLoading, 载荷 - M$ ~/ H' M |5 y+ q5 @7 Y8 v0 z
Location and scale equivariance, 位置尺度同变性/ T5 G. Q* d8 ^. z& d' @
Location equivariance, 位置同变性 N: Z, z6 x9 U0 o9 l, p
Location invariance, 位置不变性9 d( h2 Y% @" Y
Location scale family, 位置尺度族
: B" U- S8 N7 Q. `Log rank test, 时序检验 * M2 n7 b5 S! y0 B, \1 `
Logarithmic curve, 对数曲线9 P; a4 H; l1 i: H. ?
Logarithmic normal distribution, 对数正态分布
" u9 [8 ^# j' z; k8 x/ y- iLogarithmic scale, 对数尺度
. }7 o* q; g( [- ?, zLogarithmic transformation, 对数变换8 `$ f4 Q# y S3 a) n6 s/ ~( {2 s3 D$ ]
Logic check, 逻辑检查
" ~8 t. a# @; s- f, ^' iLogistic distribution, 逻辑斯特分布
7 @6 T4 i5 |& t4 k9 l& ~1 t6 CLogit transformation, Logit转换3 e: u+ u7 n# F, o* ~5 G! t
LOGLINEAR, 多维列联表通用模型 $ C$ k# B: d' a3 A) U" r5 l
Lognormal distribution, 对数正态分布" e" l. s# h, P. S' l
Lost function, 损失函数
! q3 F$ [( L( \# V6 |, t" a& a4 cLow correlation, 低度相关
# b+ Q0 F: G7 [* G, b, j# oLower limit, 下限1 T$ X6 @7 a/ |
Lowest-attained variance, 最小可达方差
2 \! F' {" ^. eLSD, 最小显著差法的简称- z/ \5 r9 Q/ O& G9 r
Lurking variable, 潜在变量2 s% k% R# G; ]8 o
Main effect, 主效应" H' q/ [+ Y5 S
Major heading, 主辞标目# j; v7 M2 b* V: W7 n
Marginal density function, 边缘密度函数+ X5 M2 ^- f K6 ]+ [7 _4 g
Marginal probability, 边缘概率/ n0 x& T+ W! l" x# Z
Marginal probability distribution, 边缘概率分布
. t, K1 y; A, M7 W! G. }8 jMatched data, 配对资料' ?! |2 z/ A5 v- U' c7 `8 @
Matched distribution, 匹配过分布
% f. w. @( @5 \, k; O7 D% lMatching of distribution, 分布的匹配. R. k4 r2 }- l2 {) \) d
Matching of transformation, 变换的匹配4 Z C6 j# R6 w% H0 T7 s, k
Mathematical expectation, 数学期望$ Q/ u ?) G% |6 _3 q+ m
Mathematical model, 数学模型
2 R$ u) A j) Y+ a9 MMaximum L-estimator, 极大极小L 估计量
$ v# y3 `, o. d1 U9 g% r" \Maximum likelihood method, 最大似然法* ^ R! o; L9 X+ p) a* K7 ~9 U0 t
Mean, 均数
$ d- D6 l" Q: a( C' @+ E2 a& p! f1 G; yMean squares between groups, 组间均方
6 X0 f6 e: k4 c- kMean squares within group, 组内均方
# y; N: l* U3 G# F; Y \% o. `) M. aMeans (Compare means), 均值-均值比较" Q$ Q r& g# o1 Z" k7 {8 p
Median, 中位数! g% u4 f/ y' x8 L M; ^3 ?
Median effective dose, 半数效量
9 P# `2 y% o- S# X1 B1 ]& U% _Median lethal dose, 半数致死量
, l, G$ T: ?' O5 R/ X. C9 o) pMedian polish, 中位数平滑
" L* M& \% s. ]+ u; S) NMedian test, 中位数检验
7 T; ]- l8 O! |' E9 |2 @Minimal sufficient statistic, 最小充分统计量+ K7 l2 n0 G( L" l; H
Minimum distance estimation, 最小距离估计
$ w+ x2 }1 U3 a4 a6 HMinimum effective dose, 最小有效量+ Z+ ~* k. e; k
Minimum lethal dose, 最小致死量. u; r* U) q& M- W: ?' {
Minimum variance estimator, 最小方差估计量
6 U; ~4 s8 C! }* I. F1 Y; n [MINITAB, 统计软件包
0 c% m: d) a( R6 FMinor heading, 宾词标目$ g$ l1 b/ u4 l) a5 x4 S/ G
Missing data, 缺失值) |7 U+ l0 a3 l, O
Model specification, 模型的确定# I2 A/ |0 ^5 e" x6 C
Modeling Statistics , 模型统计, @+ K+ N. N$ `3 M$ W
Models for outliers, 离群值模型
6 Q% B( l% M7 [Modifying the model, 模型的修正3 @/ `) [, K. q# f6 J, k
Modulus of continuity, 连续性模( G! ^5 @- [/ ?% K1 h
Morbidity, 发病率
( @7 J+ \' X! MMost favorable configuration, 最有利构形
1 _+ J3 p; l; _3 d' f5 U8 }6 e& mMultidimensional Scaling (ASCAL), 多维尺度/多维标度
! A: c4 L- [& OMultinomial Logistic Regression , 多项逻辑斯蒂回归
+ d( e! [$ M$ M8 N7 q# @Multiple comparison, 多重比较/ j; ]# A& G. G1 v4 W8 J$ X6 d
Multiple correlation , 复相关
$ |$ L& C5 X" C% l/ jMultiple covariance, 多元协方差5 ^* V3 ?. t+ \- N1 M$ W" e; C7 I; O
Multiple linear regression, 多元线性回归. w) T/ [) Y' E/ }0 p
Multiple response , 多重选项0 ?" H2 X( K# P+ k2 {
Multiple solutions, 多解2 b; t; k( R! N- T- Q6 b
Multiplication theorem, 乘法定理
t) T, ]# c5 i& }Multiresponse, 多元响应
# t* P: }% f4 j2 |Multi-stage sampling, 多阶段抽样
# Y) [) V$ }+ K! ~3 B! g3 h0 }Multivariate T distribution, 多元T分布
0 E2 S4 N/ D7 ~5 b& F" f c! n7 [0 VMutual exclusive, 互不相容9 L: R3 ]) x% e
Mutual independence, 互相独立
* k" e) y/ `: F3 _, f2 kNatural boundary, 自然边界" _$ Y v' P2 B: b o
Natural dead, 自然死亡- a2 A" b3 ~$ I+ n/ v" n
Natural zero, 自然零# ?: E" T) f5 h6 r7 _
Negative correlation, 负相关3 ^, |" g4 Y/ I0 g% t
Negative linear correlation, 负线性相关
' d/ g. B3 t6 n0 i' x" g7 xNegatively skewed, 负偏
* C# w7 k# H; O) ?5 iNewman-Keuls method, q检验8 y7 C# C, m* O6 Y3 k5 \7 w1 d
NK method, q检验
0 X/ j2 k+ {) i: ]- K6 JNo statistical significance, 无统计意义! I% t! v+ Q# \+ I
Nominal variable, 名义变量
' a7 O3 E. u, o% MNonconstancy of variability, 变异的非定常性
- B9 c- a; q: Q6 O& w$ X3 n! y2 ENonlinear regression, 非线性相关
8 Z- F2 k& Q% B! R- X1 a8 C) j& L" aNonparametric statistics, 非参数统计
* m1 e+ u! M1 K" SNonparametric test, 非参数检验
- \ E4 L! D$ Q$ m) ~1 hNonparametric tests, 非参数检验8 N; p Q. h8 e+ X( V+ b8 }5 } B
Normal deviate, 正态离差+ E6 B! D$ |, z* c! o
Normal distribution, 正态分布. ]& @2 a& }. ? Y! \( g* M8 N6 C
Normal equation, 正规方程组. E" O/ g" |0 n% \ Z
Normal ranges, 正常范围+ d- E, [8 I X' I" ]8 k6 b H, E' T s
Normal value, 正常值+ k& x, _+ \) c
Nuisance parameter, 多余参数/讨厌参数
( m+ Q) ?) c9 g, B" z( ONull hypothesis, 无效假设 1 w+ {* h1 O; e( ?& Q
Numerical variable, 数值变量
3 w5 f4 l; Q* a/ i- J- k, vObjective function, 目标函数. J& S2 L1 @/ h& h
Observation unit, 观察单位2 M0 E. `7 o; W7 K
Observed value, 观察值7 A. s0 D, R' Z2 d9 v* q3 B
One sided test, 单侧检验/ X/ x4 l2 C! L- Z
One-way analysis of variance, 单因素方差分析5 y s4 N- ^7 j) l# p
Oneway ANOVA , 单因素方差分析& ` E& d. ?/ L: \! T$ x
Open sequential trial, 开放型序贯设计
; x( |6 e1 }5 U3 S" pOptrim, 优切尾
% T' {4 @8 K+ g: v# wOptrim efficiency, 优切尾效率
6 g2 M2 P, t8 q3 k7 IOrder statistics, 顺序统计量+ W( G, h) d ]; ]# Q8 r
Ordered categories, 有序分类
- c* O' o; Y; T+ R" G) v/ lOrdinal logistic regression , 序数逻辑斯蒂回归
5 [/ B; |; t6 e7 U& }- z fOrdinal variable, 有序变量
8 V! f: U2 `5 l& V. SOrthogonal basis, 正交基
6 c! b- N( ~! f( e$ sOrthogonal design, 正交试验设计7 I& e& @/ F1 G- x$ n: u
Orthogonality conditions, 正交条件
* g0 r N3 r4 J/ jORTHOPLAN, 正交设计
( U' r/ `/ G! u7 q B' vOutlier cutoffs, 离群值截断点" g3 E0 ~ T% |& ~, Q) n
Outliers, 极端值( d( o4 j' T5 M% K6 [' _! ^
OVERALS , 多组变量的非线性正规相关
+ Y( v _* H, m4 f# W UOvershoot, 迭代过度
. i( y( r0 a0 p" r; VPaired design, 配对设计
# W1 ]5 s# Q+ A* s4 KPaired sample, 配对样本
" u1 `! ]/ p/ i: \# F( r/ h+ cPairwise slopes, 成对斜率
2 V1 G4 @" g0 ~9 i/ \4 J2 NParabola, 抛物线$ g3 I7 _* ]0 F' v# m' u
Parallel tests, 平行试验
% @5 ^/ @" U1 Y2 V/ F2 I" K& ]Parameter, 参数
% ]/ _9 Z; k/ d' fParametric statistics, 参数统计
/ r" m2 |! Y2 t$ LParametric test, 参数检验
2 @. \7 z H5 zPartial correlation, 偏相关0 M0 U1 e) u# h( p' l/ Q! q, c
Partial regression, 偏回归. f& H& L. O! e0 N! Z% z, }
Partial sorting, 偏排序
( Y5 y- u6 j6 c0 hPartials residuals, 偏残差( e4 ?' q6 T! Y0 U6 f* \* K
Pattern, 模式+ V3 n; z$ m8 T2 {
Pearson curves, 皮尔逊曲线+ C$ ]5 H& M) _+ G7 n! @
Peeling, 退层. u' s5 C1 B |5 G; \- ^
Percent bar graph, 百分条形图5 Y" h8 ^# x! E6 P7 A
Percentage, 百分比/ H9 h0 f5 `% ^% \+ }
Percentile, 百分位数% }; p; u, b7 J3 Y8 }' E5 V
Percentile curves, 百分位曲线
/ s, ^5 E2 c& d& QPeriodicity, 周期性
2 Z. {) Z) N g, B K$ I$ J; [% r% iPermutation, 排列( m: }' U' {" Y6 T3 E/ [4 r
P-estimator, P估计量
/ p+ A8 ~( A$ Z m. w# P: XPie graph, 饼图
* C% Q4 T9 t+ c& T$ w ^; V3 jPitman estimator, 皮特曼估计量
4 z6 @' ?9 w+ N! b1 X4 u6 gPivot, 枢轴量: l7 f* F4 M" o
Planar, 平坦
9 A/ i; C8 M5 Q6 z8 g+ v+ wPlanar assumption, 平面的假设
+ @9 o% f4 ?; n! J8 VPLANCARDS, 生成试验的计划卡
1 ~. u& V; E$ @. l) YPoint estimation, 点估计
- P' t; \" ^5 I# j# APoisson distribution, 泊松分布. H- Z( E% H* [3 [
Polishing, 平滑6 ~* ~/ _# [% i
Polled standard deviation, 合并标准差
0 l, j( G+ P1 l9 T5 KPolled variance, 合并方差, Q0 V$ G, E& @$ }7 w% t
Polygon, 多边图0 ^1 J3 U- [3 S1 m% d% H; q5 O
Polynomial, 多项式
6 P, j( j# U3 {0 A+ l' kPolynomial curve, 多项式曲线4 }! ]) E& A) l" d
Population, 总体
x, l" O: V1 T6 P- [6 CPopulation attributable risk, 人群归因危险度4 I9 Q! |$ U5 n7 r" z" }! Y; {' I3 p
Positive correlation, 正相关1 X' X8 f; f1 S2 j1 ~
Positively skewed, 正偏7 U3 ? B i+ ~) D5 Q* \/ M7 v9 `
Posterior distribution, 后验分布7 X4 J7 J G: v }- C( }! N
Power of a test, 检验效能
6 n0 Q1 V6 m. C" ], CPrecision, 精密度
( D- B9 H" U% }! W% h* XPredicted value, 预测值2 d# J4 Y; a2 H1 K; j: f& Z' T0 a
Preliminary analysis, 预备性分析
; R( N, m* P2 J/ Q; x+ W( q3 |+ oPrincipal component analysis, 主成分分析9 f4 u9 p" G+ L7 j$ `
Prior distribution, 先验分布 z* Y4 z7 T7 G" N7 D3 R; f* X
Prior probability, 先验概率
O" \; J. } ?: Q- qProbabilistic model, 概率模型. q- O x1 G- |
probability, 概率
) v( \$ F/ s8 c7 h$ OProbability density, 概率密度( h G- P* R# i& H
Product moment, 乘积矩/协方差
3 p! p. R$ ?8 x0 A* `1 q* v rProfile trace, 截面迹图- s7 d3 z' k- T ^2 ^: E
Proportion, 比/构成比5 [5 u4 m- d: _' b! s( R7 Y) z
Proportion allocation in stratified random sampling, 按比例分层随机抽样: H, T$ q4 a n. W! ]
Proportionate, 成比例
/ t7 y' z2 J9 x% j; p5 x& dProportionate sub-class numbers, 成比例次级组含量' a8 l x3 `% o4 c" c+ ~1 Q. p
Prospective study, 前瞻性调查; k" g( K. o8 M* T. n& ]7 `
Proximities, 亲近性 % i3 S5 o- Y, Y+ } j" S; q) @* p
Pseudo F test, 近似F检验
* I3 E. k' d0 x/ l) wPseudo model, 近似模型6 y: H. J, N& J/ k% r& d
Pseudosigma, 伪标准差0 Q) Z, g) g, H s( R) O/ l& a
Purposive sampling, 有目的抽样+ \4 _; j2 H9 q# _( a' _5 P
QR decomposition, QR分解- Z& B0 f' d: d: A* Y" J
Quadratic approximation, 二次近似: a* o, ?. B7 f- p
Qualitative classification, 属性分类- D$ Q( U2 r5 E8 O9 s _+ u
Qualitative method, 定性方法0 p# r% d$ Q9 s4 }0 r0 Q
Quantile-quantile plot, 分位数-分位数图/Q-Q图
! o' r6 Z( n! @' q! AQuantitative analysis, 定量分析
/ v( u8 N$ E$ o9 v2 F0 `: ?, FQuartile, 四分位数
5 X% M7 `& v5 [- }0 k& g/ M$ bQuick Cluster, 快速聚类
6 w7 f( M) Z5 n+ ]Radix sort, 基数排序/ n3 |7 l& Y9 X$ \: I X
Random allocation, 随机化分组
6 `- [* H- P# S( e5 ^& l5 kRandom blocks design, 随机区组设计
4 f1 @2 c+ F7 [( B* M; xRandom event, 随机事件
* t1 ]) H. G6 p0 j+ U2 T7 bRandomization, 随机化+ ^! Z8 Z9 g! N& O' y
Range, 极差/全距8 a' f3 Z$ U% q+ [; n" w
Rank correlation, 等级相关% D+ \8 N |' W' x% N4 K7 D' k
Rank sum test, 秩和检验
; c( ?7 `& P( X# g' `Rank test, 秩检验
4 Q- S" l. Q+ Q! w/ m bRanked data, 等级资料
1 r3 T' k8 L- X& p: RRate, 比率
0 Q3 k. c/ J6 P. h j# E) NRatio, 比例
; t+ S5 H/ l- f. w* a) K8 }Raw data, 原始资料
; E5 u" B: ]3 u! [7 r; Z" hRaw residual, 原始残差" Z: O/ E! Q9 W9 W
Rayleigh's test, 雷氏检验
) i5 D3 A1 E6 d- [3 \. a* hRayleigh's Z, 雷氏Z值 " W0 h8 i3 {. A4 }4 j& C; a0 U
Reciprocal, 倒数9 W+ ?; L9 g3 O7 q& p# `* e
Reciprocal transformation, 倒数变换/ H, z, {$ i$ X% D; W. J
Recording, 记录
0 ^6 F( H) V: _1 yRedescending estimators, 回降估计量0 x- S+ q& l8 O/ W7 O* i, ^( P7 M
Reducing dimensions, 降维$ f+ Q, e; M' r* U. `
Re-expression, 重新表达( B. H. o4 y; Z
Reference set, 标准组
( F+ l$ b6 K' i6 {: A+ R! [) p( cRegion of acceptance, 接受域 H! A5 m* H; |5 {0 K" z( q1 P, |3 x
Regression coefficient, 回归系数2 @. z. o9 o9 _+ O7 a
Regression sum of square, 回归平方和; K/ X+ j: k6 B. D; C# |+ \, O
Rejection point, 拒绝点
6 c* J1 D# o+ z5 i4 ]- qRelative dispersion, 相对离散度
, q# E8 u' S* L! a% J9 [9 cRelative number, 相对数# `3 k! \1 ?' E# X5 {
Reliability, 可靠性
( l7 B6 ^, \0 ?5 X M7 TReparametrization, 重新设置参数
* T' j% {& w% k3 rReplication, 重复
+ D4 W/ M* u* T/ kReport Summaries, 报告摘要
. s$ y, J& W+ XResidual sum of square, 剩余平方和 @" Q8 M* [/ h
Resistance, 耐抗性
& C0 U! E+ T2 A% `; w% b WResistant line, 耐抗线
( x5 h! z1 ~% m _Resistant technique, 耐抗技术( d, M0 F8 V: p) M
R-estimator of location, 位置R估计量! V4 q: o' [# y5 L
R-estimator of scale, 尺度R估计量0 e& d+ d7 i p" ~
Retrospective study, 回顾性调查& f. C0 `* d% C/ M! l, J$ M
Ridge trace, 岭迹
( e0 N1 \# P/ }7 M* GRidit analysis, Ridit分析/ M9 { @0 K, u7 U: s
Rotation, 旋转5 V- N8 C1 t# M/ v$ K) t( e' f
Rounding, 舍入6 a" M* S6 x6 N
Row, 行2 T8 n: `' ~) S) m; l
Row effects, 行效应" m3 v9 g8 z) s) Z* n
Row factor, 行因素
' w: D7 K/ Q* Q' wRXC table, RXC表9 k0 w i6 X+ |$ z
Sample, 样本
+ k" ^% F% f; s o. sSample regression coefficient, 样本回归系数
" Q4 r) T; ^/ n8 }( t$ Q0 oSample size, 样本量! w" t: f4 i: D- e
Sample standard deviation, 样本标准差
0 r4 O7 G; W$ S0 YSampling error, 抽样误差
/ q( u3 r* j/ d0 J# ?SAS(Statistical analysis system ), SAS统计软件包9 x- z, r G0 Z4 n' U# I- N9 x
Scale, 尺度/量表* Z. n# s/ U* S" E
Scatter diagram, 散点图+ X# ~ j1 V! |' p$ ^
Schematic plot, 示意图/简图
$ S! o' A. A& z! R0 t0 lScore test, 计分检验
3 C3 K2 E0 V; D3 Y' s2 }( n" s; ?4 ^Screening, 筛检* S# Q/ I1 q5 J& Z9 \3 C0 g, q
SEASON, 季节分析
8 q- W5 q/ z$ n$ {Second derivative, 二阶导数; l: f1 M+ Y* t, n% p
Second principal component, 第二主成分7 z/ N8 i* [5 D' r/ i$ b9 v
SEM (Structural equation modeling), 结构化方程模型
# `* x4 K$ B1 eSemi-logarithmic graph, 半对数图
( I3 p# ^4 r0 v% JSemi-logarithmic paper, 半对数格纸& n9 e" b W( [" |$ E8 v
Sensitivity curve, 敏感度曲线7 N/ `/ P( u5 X: y! J3 C* A( m
Sequential analysis, 贯序分析
$ A0 W) Y8 ~: T: x# Q7 h4 TSequential data set, 顺序数据集8 L4 |) q& R0 L
Sequential design, 贯序设计
. V Z/ } `3 y* dSequential method, 贯序法" b1 g; w- {( s, @
Sequential test, 贯序检验法* J9 F1 R! s7 a' ^
Serial tests, 系列试验& D8 a/ z5 Z5 U) U0 J
Short-cut method, 简捷法
4 Q! _, x( C) {8 e3 v3 S9 T2 ]0 J8 fSigmoid curve, S形曲线
- [5 }/ ^, w. \$ Q7 `Sign function, 正负号函数# o1 Y! `$ M. D- m$ Y
Sign test, 符号检验
0 T1 n' b( W$ XSigned rank, 符号秩" o2 v. L' k, r
Significance test, 显著性检验! F, l P& G) ^3 S
Significant figure, 有效数字" ^! x0 R6 a7 l- d$ p
Simple cluster sampling, 简单整群抽样
9 J4 ~& T, X8 sSimple correlation, 简单相关7 U+ Y3 G4 f% S1 l- {& A' o
Simple random sampling, 简单随机抽样0 G! ~' R# p9 `4 Y
Simple regression, 简单回归: }7 h1 M& k6 k- \; i" w. ^
simple table, 简单表1 ^! l% `8 Q0 [3 k- U! _" h
Sine estimator, 正弦估计量
' r6 H% {5 |$ x/ o: K& ?2 }% pSingle-valued estimate, 单值估计$ b1 ^7 c: _- W; I7 q- p6 Y7 A0 ~, i9 ?
Singular matrix, 奇异矩阵
, ^9 W2 b# {, E/ r) g( sSkewed distribution, 偏斜分布
- T) b6 _3 L% A9 ?6 b' r2 vSkewness, 偏度1 A$ e F1 P/ `* P! F) [! z
Slash distribution, 斜线分布
5 C( K9 S" H: J2 i, \7 R A4 kSlope, 斜率0 c; K8 ?0 q; i7 k6 [
Smirnov test, 斯米尔诺夫检验
% K+ |4 t2 F: ^0 r9 }7 ]& k( Q& V$ WSource of variation, 变异来源
- P4 y0 o) w( \4 M/ T7 oSpearman rank correlation, 斯皮尔曼等级相关
6 `) n5 p" f. [* Z3 N4 d8 J$ _Specific factor, 特殊因子
2 ?2 M6 O P. N O; YSpecific factor variance, 特殊因子方差2 m& s1 O, R$ M( p1 D( d
Spectra , 频谱! j1 H3 {$ h) V1 }( Y: b
Spherical distribution, 球型正态分布
! w( o# D* q' Z( n3 c% N: tSpread, 展布1 a4 p( _ B' M7 t2 i
SPSS(Statistical package for the social science), SPSS统计软件包& e6 f/ t+ p: I# {+ _3 W
Spurious correlation, 假性相关
Q) o8 I5 d& T5 Z+ [( L% eSquare root transformation, 平方根变换5 q, A; k- |2 M3 m( R
Stabilizing variance, 稳定方差
& Z7 n4 z+ F4 g3 B8 P+ q) j- XStandard deviation, 标准差1 V9 T) H5 ] |( |2 Z
Standard error, 标准误
0 P( B( R" x |5 o% {+ z& ?Standard error of difference, 差别的标准误5 M1 _8 k; E9 n; I- D
Standard error of estimate, 标准估计误差
: y C( A% L/ aStandard error of rate, 率的标准误/ y! }, N! E' Z. g. a
Standard normal distribution, 标准正态分布
" [5 Q: o4 f/ OStandardization, 标准化
H. S* \- q3 ^$ OStarting value, 起始值% ]+ X% _7 m$ C
Statistic, 统计量
+ s# n1 b5 b: [% I- |7 E, K) cStatistical control, 统计控制
% B- P6 S3 B4 Z6 UStatistical graph, 统计图0 K; E! o7 E( D3 e# A, {
Statistical inference, 统计推断2 {, O$ Y8 H% \1 q e- n
Statistical table, 统计表
1 W: H+ Y! Y" t1 J5 v9 b, hSteepest descent, 最速下降法8 ~1 k6 q, {. ?$ ~& [5 s* P
Stem and leaf display, 茎叶图
) [' A$ x( @+ D* l$ {Step factor, 步长因子
8 y4 M7 v$ ~( s, iStepwise regression, 逐步回归% W; {" Q5 |# z/ ?' |5 y5 ]- Y2 ^) d
Storage, 存
1 `7 @ t V, J# f( SStrata, 层（复数）* p* N' Y r; A8 X
Stratified sampling, 分层抽样" q6 }7 B* Z. _5 P
Stratified sampling, 分层抽样& B6 K4 g; H' M6 O
Strength, 强度! c: b3 L) [1 y0 Q( T( {- E
Stringency, 严密性6 V+ u- X8 {' f! w' Z* H5 Z, _
Structural relationship, 结构关系6 H& T9 U/ p# C1 M* S7 ^2 }
Studentized residual, 学生化残差/t化残差
1 V* j+ _& c+ V" o0 f- PSub-class numbers, 次级组含量0 C" f* R2 R0 i
Subdividing, 分割9 q7 U" e4 P8 k' I5 ?
Sufficient statistic, 充分统计量
: J7 C x8 W: r+ Y* eSum of products, 积和% A! Q2 ]6 H7 y
Sum of squares, 离差平方和8 B0 p) M i/ H
Sum of squares about regression, 回归平方和8 X) W. b% M0 C8 x. N
Sum of squares between groups, 组间平方和
6 ~& _& I" W' PSum of squares of partial regression, 偏回归平方和, o" E; [2 f2 {+ T& C! P% L3 v
Sure event, 必然事件" Y6 k$ h- e% N$ ]& h
Survey, 调查
$ t2 j; k0 ]( V# e: `Survival, 生存分析: c: K- }0 P% q
Survival rate, 生存率
6 }- y( T* m# kSuspended root gram, 悬吊根图
. d6 y, W6 B3 m* a! {. k3 tSymmetry, 对称
" N: l6 @% F* g3 K& E! h4 x( xSystematic error, 系统误差/ c% ]8 Z3 d5 A& }. ?
Systematic sampling, 系统抽样
; J+ ~! Z& z9 ?9 QTags, 标签
1 u" e) D* P6 I' d+ {" M7 zTail area, 尾部面积
4 g& x) O) f( t1 ITail length, 尾长
! F* J1 U; u3 \1 VTail weight, 尾重0 p4 c' H: z: n; W; W0 o- e' u: L
Tangent line, 切线
# _- z* _! d7 u7 [Target distribution, 目标分布
( n$ X' n' f! P2 j# RTaylor series, 泰勒级数1 j w, s: z; h( Q- e# f
Tendency of dispersion, 离散趋势
" }! u4 M# F6 G+ S- B' CTesting of hypotheses, 假设检验* a* S# B# \" O1 m
Theoretical frequency, 理论频数* @- e9 G% _$ Y
Time series, 时间序列. G w8 @! ]1 _( s4 D& N7 ]( [! \0 O
Tolerance interval, 容忍区间
: C" k! X* P1 W- A7 y% R% i" [0 _Tolerance lower limit, 容忍下限
# z M; m/ s* t. A) m6 ~9 m0 ]Tolerance upper limit, 容忍上限0 v/ H9 y/ T1 M5 h" o7 p0 m' u
Torsion, 扰率
8 P; H1 Y) B4 O2 k4 m& [Total sum of square, 总平方和
9 z. w# @7 Q% K! L2 |+ LTotal variation, 总变异- Q/ r' h' M0 W+ k
Transformation, 转换
9 ]9 i0 M2 o ~9 o4 l( hTreatment, 处理
- L8 E- n( h7 W S: K& v9 ?- n4 NTrend, 趋势. d9 `0 a! g2 L) ?5 K8 D: b& `
Trend of percentage, 百分比趋势
3 [: a/ X9 c3 r: yTrial, 试验% ?( Q9 s2 M0 i9 C7 j' e
Trial and error method, 试错法
$ C3 B" `1 J& L8 H3 y/ i' G$ f* lTuning constant, 细调常数1 I @2 {9 m U' v
Two sided test, 双向检验" K& ~% a& R+ f, ?( o0 d* Y3 } `# X
Two-stage least squares, 二阶最小平方6 m1 f$ x$ |* \! C( S
Two-stage sampling, 二阶段抽样3 B# f8 ^8 F! x
Two-tailed test, 双侧检验* A2 e6 o$ \$ k* J" M: V
Two-way analysis of variance, 双因素方差分析
/ K# s/ v: i8 _. o; t* k$ B1 h6 FTwo-way table, 双向表7 t+ A4 z7 r+ z$ M: G
Type I error, 一类错误/α错误+ E: n! x! z7 t: C& u2 L/ r
Type II error, 二类错误/β错误! a# q$ T# P' _
UMVU, 方差一致最小无偏估计简称
, b; J+ B, k. v9 W- C: c1 |Unbiased estimate, 无偏估计) n- W5 c9 O3 A/ `9 P3 a b
Unconstrained nonlinear regression , 无约束非线性回归4 l7 F+ p% ~% D- [' W6 E6 E
Unequal subclass number, 不等次级组含量
. h, S0 U2 c7 p" K* [/ P1 d8 ~" }! uUngrouped data, 不分组资料
7 |7 b4 Q7 G# Q4 `Uniform coordinate, 均匀坐标
" k2 w2 J: [: k. q& w' B" LUniform distribution, 均匀分布
" Z, l+ A' r1 U& oUniformly minimum variance unbiased estimate, 方差一致最小无偏估计" h/ ?, ~ A; D& }
Unit, 单元
9 p; S" i+ O0 L2 aUnordered categories, 无序分类
3 L# S- f3 v/ r& f7 LUpper limit, 上限5 r: D' M" R3 b: w: R
Upward rank, 升秩
# r) N" ^) t5 ]! ^5 T! H3 ]Vague concept, 模糊概念7 D2 }4 f) T( s7 l4 S! ~
Validity, 有效性$ { k5 _* M1 e
VARCOMP (Variance component estimation), 方差元素估计
3 T- D5 Z* l5 g" A7 HVariability, 变异性; n, a. a" s" P
Variable, 变量8 |0 F/ ]* j; y! [; Z# t
Variance, 方差7 R; ~' _! P& _; a# n9 R- `- X
Variation, 变异+ j) F4 b" e. v9 f- W$ f% c2 l
Varimax orthogonal rotation, 方差最大正交旋转1 i1 c7 L, ]" E1 q/ `' Z- r
Volume of distribution, 容积5 G/ A1 }) t5 i; u8 \
W test, W检验" P# Y1 C5 o2 e5 d9 G6 Z
Weibull distribution, 威布尔分布8 M- r! g- N b9 R' `
Weight, 权数
# `; |4 K# e6 X& Z! p4 `Weighted Chi-square test, 加权卡方检验/Cochran检验, M6 F) i3 u- f# b
Weighted linear regression method, 加权直线回归
1 W! B& x: L* h) @" |: ?& x9 SWeighted mean, 加权平均数1 b9 @/ o" O9 }* ^8 @/ [$ M
Weighted mean square, 加权平均方差0 p, w+ e' @; y
Weighted sum of square, 加权平方和; h/ N: z3 t9 D. T$ z* K
Weighting coefficient, 权重系数0 {6 y1 _( J. C8 G4 X7 Q9 `
Weighting method, 加权法 & X. I' N1 r7 N; O; T
W-estimation, W估计量3 e) Y# C8 }0 k0 g4 ~$ s. y, s
W-estimation of location, 位置W估计量
( _2 `" o6 ~8 r# B, c* W. y. xWidth, 宽度
- `* w( [2 ~: w6 ?" D$ a a7 oWilcoxon paired test, 威斯康星配对法/配对符号秩和检验$ Y' v% @" ^1 w7 O
Wild point, 野点/狂点
. W8 c. k! h6 ~+ I4 }Wild value, 野值/狂值0 s) H% M% A& j+ |
Winsorized mean, 缩尾均值9 K! Y+ h! j* K5 T, O- x
Withdraw, 失访
% `8 \3 [& Z. ~2 dYouden's index, 尤登指数
/ u6 z' h' @7 [ L4 yZ test, Z检验 T+ C6 k2 t, Z
Zero correlation, 零相关
" B+ ?6 B0 G/ e4 e) }/ sZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
