|
|
Absolute deviation, 绝对离差
) n4 o# C% x& }Absolute number, 绝对数
6 T: g$ _# R# N) D/ s# aAbsolute residuals, 绝对残差
a1 ?. {9 r; z' l4 IAcceleration array, 加速度立体阵
$ s! o, Q3 ]( G. qAcceleration in an arbitrary direction, 任意方向上的加速度
3 L* \* `* I' E. q1 C8 G0 \Acceleration normal, 法向加速度( N% C% Y) d% _3 h
Acceleration space dimension, 加速度空间的维数
/ f8 E, I3 X& }: tAcceleration tangential, 切向加速度
; Q" @, O! U7 t( z' G3 lAcceleration vector, 加速度向量; m: ?2 X( N6 b/ A' h' a
Acceptable hypothesis, 可接受假设, f" h: [' ~9 E5 u% q( z% ?( y
Accumulation, 累积/ R! D. D* v8 B1 _# N
Accuracy, 准确度
: u. o8 I4 g8 `7 l8 h) b- WActual frequency, 实际频数
& E5 [& s X( k2 s. [. RAdaptive estimator, 自适应估计量: ~ ^$ ?# ]) C
Addition, 相加1 g1 `% ]( o, G! p! a# Q2 C, E
Addition theorem, 加法定理
2 H, n* R; l7 C1 B8 SAdditivity, 可加性
; B7 B- n: |, @6 R& AAdjusted rate, 调整率
5 l s/ I' ~3 X0 YAdjusted value, 校正值
# ?; z: M* G5 m# v7 JAdmissible error, 容许误差
. S# y9 V$ }# c2 T" YAggregation, 聚集性
! o8 p8 i: d$ y) [* qAlternative hypothesis, 备择假设
6 a. q8 i3 U6 c% c+ yAmong groups, 组间; N' u8 @" ]9 X, b2 s' w! r
Amounts, 总量+ V1 k. C' \6 s
Analysis of correlation, 相关分析
5 D5 }) F) U- b& K, j/ LAnalysis of covariance, 协方差分析
+ y2 K" I: V* V; n9 ?Analysis of regression, 回归分析" W1 S" s) i+ u6 H0 j
Analysis of time series, 时间序列分析
# p. M2 i7 {* d$ G# p$ @4 hAnalysis of variance, 方差分析) s: p, _+ x: q! G1 Q1 h# S
Angular transformation, 角转换 K$ ~1 e0 Y7 [; a! k. m
ANOVA （analysis of variance）, 方差分析
* ~3 z% h1 q) ~( RANOVA Models, 方差分析模型
4 q [/ o6 H3 b. g, CArcing, 弧/弧旋
# W5 |/ i+ y, ~; A& NArcsine transformation, 反正弦变换+ U7 v/ ?1 y( R$ ^+ Y9 ]& [
Area under the curve, 曲线面积# `( f- [* S/ 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 . j4 I1 ?0 c0 Z( C; G
ARIMA, 季节和非季节性单变量模型的极大似然估计 ( m) n8 q* T) P' T8 Q
Arithmetic grid paper, 算术格纸' F( n& ~/ D$ A0 G$ g! }5 ^
Arithmetic mean, 算术平均数* c) C( G+ k2 w$ y% N
Arrhenius relation, 艾恩尼斯关系" k6 X. I# c& u( u6 I
Assessing fit, 拟合的评估1 Z9 F1 ]* x1 P; G
Associative laws, 结合律& O$ w0 {6 `# i
Asymmetric distribution, 非对称分布
3 I0 G; Q8 y, x% DAsymptotic bias, 渐近偏倚
0 q4 \( |3 h$ }* _ V ZAsymptotic efficiency, 渐近效率
' K6 D* `0 ^( _) Z- ?7 t5 m1 ^* A3 mAsymptotic variance, 渐近方差
; n# B" L# e: L( m9 HAttributable risk, 归因危险度
% h- q; b6 _( T7 d M# XAttribute data, 属性资料6 X( t" `5 Z+ K. r" r
Attribution, 属性
7 e, O+ T' }2 U) Q; F S" n `Autocorrelation, 自相关6 K1 d) m. {0 I/ }4 d) Q
Autocorrelation of residuals, 残差的自相关0 U, U4 O1 x4 p" S6 a O
Average, 平均数
7 D7 }" \, I- K* a1 ~Average confidence interval length, 平均置信区间长度
0 o6 }7 C6 q) b$ y! Q2 aAverage growth rate, 平均增长率9 C' {+ C. Y* V: P' m
Bar chart, 条形图" C( k3 z) `& ^9 f* e3 V" \
Bar graph, 条形图
* [9 A% E: i5 R0 g3 b* @& KBase period, 基期
: @6 U- L6 L# E; X3 \( A; uBayes' theorem , Bayes定理% D i2 T" g4 W0 C, @' r7 |$ c
Bell-shaped curve, 钟形曲线
" V) \5 h' Y F# {6 V% PBernoulli distribution, 伯努力分布
, `: N) J3 L# ]3 IBest-trim estimator, 最好切尾估计量
$ m6 Y8 ~: [% t& t" o# d: G0 u8 lBias, 偏性
9 q% G$ e4 P# ^Binary logistic regression, 二元逻辑斯蒂回归' l7 j9 t) A$ G& a4 u2 m
Binomial distribution, 二项分布
) e3 [) s- D% E0 @- a$ \0 x7 l. ZBisquare, 双平方
4 i% h* o1 ^4 ~Bivariate Correlate, 二变量相关* F* ?3 O t: {( ^7 s( t3 R
Bivariate normal distribution, 双变量正态分布
) ?* j7 e7 r4 C0 V0 P- QBivariate normal population, 双变量正态总体/ r& S. {4 P' X" |) X
Biweight interval, 双权区间
F. N6 Y6 I hBiweight M-estimator, 双权M估计量
7 o v( n. A0 U2 J& WBlock, 区组/配伍组) O4 x7 D# d: ]/ E
BMDP(Biomedical computer programs), BMDP统计软件包5 _$ Z+ g" y( M5 v& A! y
Boxplots, 箱线图/箱尾图
% V3 Q7 X* Y7 b% kBreakdown bound, 崩溃界/崩溃点
4 E1 q2 c+ P. r7 R- gCanonical correlation, 典型相关
: d/ q! m4 p) }- \3 K. O' vCaption, 纵标目1 B0 z. s2 ~) Z+ [
Case-control study, 病例对照研究
( k4 f e6 N' S! ?- RCategorical variable, 分类变量3 n7 e* K |" S" F3 v
Catenary, 悬链线
& K8 `& c7 y! A3 |Cauchy distribution, 柯西分布& U* g3 `0 w" y* @% U( q# Z
Cause-and-effect relationship, 因果关系
2 {3 N, L9 g8 s! n8 UCell, 单元3 l ]# o$ X1 l2 L. ^
Censoring, 终检- d2 [6 b# o) D
Center of symmetry, 对称中心. N0 { ?" B) U+ |6 }3 a
Centering and scaling, 中心化和定标
" W( l r" h# t$ LCentral tendency, 集中趋势& L& |$ e/ d) |$ `0 e# f
Central value, 中心值/ F; j6 q8 ]& e9 T
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
' y1 ?3 D8 |6 T- g5 f- B' X; a! }" HChance, 机遇4 w0 c8 |3 w; T8 G2 G
Chance error, 随机误差
_2 k$ W3 W g9 M/ O" v" C/ LChance variable, 随机变量; l6 Y: v) z- P
Characteristic equation, 特征方程
& I# R" G2 r3 S+ g" \& A6 aCharacteristic root, 特征根
! V8 \- F, D9 [) z1 h5 P* J2 bCharacteristic vector, 特征向量( J# \2 Z8 u! g' d H* e C* j) y
Chebshev criterion of fit, 拟合的切比雪夫准则5 v. V" i- D- i0 Y, M) B6 _! [
Chernoff faces, 切尔诺夫脸谱图7 O7 m- I% B4 R2 A; q
Chi-square test, 卡方检验/χ2检验( X- t$ W) c3 T8 v) d
Choleskey decomposition, 乔洛斯基分解% ^1 v; |9 }; l% J6 t* B
Circle chart, 圆图
' c; \( @& K; [9 J: iClass interval, 组距# O0 _9 r- u; \) b0 o$ G j5 W" E: [- U
Class mid-value, 组中值* }; Z2 E% h( a% s
Class upper limit, 组上限- `) N" e0 u \& y1 p
Classified variable, 分类变量
- ]! | U0 q, [; a( yCluster analysis, 聚类分析 ]0 a* @0 P; F8 q1 W- @
Cluster sampling, 整群抽样
6 }- \; r2 D @1 p0 RCode, 代码
5 m4 G5 R# i& uCoded data, 编码数据
0 @: _! K7 J, z; O0 ?2 fCoding, 编码
$ f# `' R3 a4 M7 D6 U- v3 GCoefficient of contingency, 列联系数
3 C/ b: A0 Z! Q, v1 ACoefficient of determination, 决定系数6 D$ k S+ D- B, a* [9 |
Coefficient of multiple correlation, 多重相关系数: l8 }5 B; P. q
Coefficient of partial correlation, 偏相关系数
3 H8 }) ]: `" B7 Q9 uCoefficient of production-moment correlation, 积差相关系数' s- T* H: R" @
Coefficient of rank correlation, 等级相关系数
- N* A1 ~% j$ N+ U3 WCoefficient of regression, 回归系数/ N. |4 u9 N0 `! Q$ ?( q
Coefficient of skewness, 偏度系数
; {3 r+ c( s+ F5 C0 e' k& TCoefficient of variation, 变异系数: G L" ?* A C# {/ Q4 R v) O
Cohort study, 队列研究
* ? H4 d. q% sColumn, 列
. {" U9 `" N+ p# wColumn effect, 列效应% J* m2 V( u9 ?( {6 _8 b* w' s
Column factor, 列因素
$ H) g' c, n% `Combination pool, 合并* `, e+ J, v$ d' p& H1 j
Combinative table, 组合表: w! A( X( n& k
Common factor, 共性因子
1 y: S" e' V0 ]; `2 x& F8 QCommon regression coefficient, 公共回归系数0 i# [& {4 G/ A
Common value, 共同值3 @8 m a9 a* X% U+ M8 H9 b% a
Common variance, 公共方差/ l5 R* e. s. X& b
Common variation, 公共变异
0 c0 o2 i& ^" ?% r+ HCommunality variance, 共性方差" M1 P/ B, a5 `; m
Comparability, 可比性
9 H: [( L, z. \+ l6 D: WComparison of bathes, 批比较
7 s: H( X; k7 i5 WComparison value, 比较值
: W8 ?, L& W& T5 \3 y" ~Compartment model, 分部模型' l; _3 U/ a3 Q& M9 e$ {7 s
Compassion, 伸缩
: N3 s) Y9 ~: @Complement of an event, 补事件: W! D) W' R! X$ ^, b& l
Complete association, 完全正相关
5 ^% L+ E. E3 bComplete dissociation, 完全不相关( c! E0 d9 s* b$ w
Complete statistics, 完备统计量
5 {' Y4 R5 m" ] m: wCompletely randomized design, 完全随机化设计
) h+ t! m6 }. V! J4 YComposite event, 联合事件 d7 Z3 E$ U8 c7 b _! i3 p
Composite events, 复合事件. I0 T }3 _- U. k* D, r2 I( `! S
Concavity, 凹性
; n0 E- Y3 ^2 TConditional expectation, 条件期望* H& j9 C3 N% t& B/ e" I2 U: \
Conditional likelihood, 条件似然8 @4 L' Q7 u% |) h$ `
Conditional probability, 条件概率: ^/ P7 _" R% K4 p6 D( `
Conditionally linear, 依条件线性# G5 }6 {$ j8 \2 m/ E
Confidence interval, 置信区间* j( E1 P$ m U, n5 o" E+ \: A
Confidence limit, 置信限) ]8 v( r: {$ A
Confidence lower limit, 置信下限
1 ~+ x. w. P8 {2 o" Z7 q: _Confidence upper limit, 置信上限
6 s5 {1 S C7 w/ C4 S8 s" tConfirmatory Factor Analysis , 验证性因子分析3 [# j* U4 j: x1 x# l. S/ h
Confirmatory research, 证实性实验研究! q( B3 K4 H6 A8 M
Confounding factor, 混杂因素, Y5 F, ~0 _# ]9 o! ~5 p$ _7 W$ I
Conjoint, 联合分析3 H6 T2 A) Z' R* f" t
Consistency, 相合性
% v9 }* ?% I0 ~* K& D+ g+ kConsistency check, 一致性检验
4 R* k ?# j/ w& R, a& cConsistent asymptotically normal estimate, 相合渐近正态估计" h6 q' V B) v2 Y. E
Consistent estimate, 相合估计
) {' o4 z( ` B7 n) s7 v8 QConstrained nonlinear regression, 受约束非线性回归
. O5 O6 V9 ?5 J; }( b9 ^0 a# g- Q4 u/ zConstraint, 约束& o, O8 m f+ o/ N
Contaminated distribution, 污染分布
6 b0 s2 v7 j# f; G. r9 MContaminated Gausssian, 污染高斯分布6 o7 @' E" n; t" L$ Q
Contaminated normal distribution, 污染正态分布/ f) E7 C, l. O2 E- X3 v
Contamination, 污染/ B) V$ d- n' V3 T1 \; H& [
Contamination model, 污染模型. U. x' n# @8 q+ t/ w) ~- y
Contingency table, 列联表8 q- Q: N* \4 R* D2 B
Contour, 边界线
" e+ {. G- {. E0 j2 V- q ?; _6 }% OContribution rate, 贡献率% R2 a, }/ B1 v" u: x+ y5 b
Control, 对照
; }! `# D; f9 k, _Controlled experiments, 对照实验
+ u2 A' K& j# M* WConventional depth, 常规深度
7 ]4 U1 D+ z7 ^; D0 P' L* oConvolution, 卷积4 u9 O0 M! M: j4 J6 e3 o
Corrected factor, 校正因子# P* V6 q E1 I6 R! a
Corrected mean, 校正均值7 C" y0 V) U8 V( T) b m4 d2 |
Correction coefficient, 校正系数
' `# \8 H5 z$ K; u/ L) dCorrectness, 正确性1 V) t/ `' t7 n# Z5 \3 }( x% i
Correlation coefficient, 相关系数6 O1 C [: P2 f ^2 _# E
Correlation index, 相关指数3 D+ V8 q5 m1 z' i) r4 B+ U
Correspondence, 对应
' H/ D$ K/ @: c( UCounting, 计数
+ Q- y; K) Y5 K+ YCounts, 计数/频数6 L6 E' W% a8 B$ Y% v
Covariance, 协方差/ b4 h3 W1 C3 y& v' G, i
Covariant, 共变 , v$ X; S8 u0 O: ]/ v* G1 K
Cox Regression, Cox回归4 r- M3 D1 |7 o
Criteria for fitting, 拟合准则7 z% V o" N% }, A# ^
Criteria of least squares, 最小二乘准则( D: t/ a/ f2 ^- k% E
Critical ratio, 临界比: I) i- _7 X* f$ h
Critical region, 拒绝域7 U& x5 G* b' @0 k; A
Critical value, 临界值
5 ~2 i. H1 i+ l9 e- h8 j4 qCross-over design, 交叉设计$ P- X( V T2 @7 W' Z4 Z1 T3 f
Cross-section analysis, 横断面分析
3 a2 M' x" I V) X6 j; ?5 D% yCross-section survey, 横断面调查
) h) G0 S) q Y0 v" A) }" {Crosstabs , 交叉表
( S) k* J% i" Q" `& V. tCross-tabulation table, 复合表
; ^0 U& o# S2 ?* C: j1 j+ p5 c5 aCube root, 立方根
$ I7 A7 E1 E7 r- _Cumulative distribution function, 分布函数
! j7 D9 _/ g$ b9 @ j0 k) Q5 k0 yCumulative probability, 累计概率0 E* l' V+ P& E0 o: X% K4 N, p
Curvature, 曲率/弯曲
" _) z) e9 o: H% {6 a' _& MCurvature, 曲率$ X5 b7 v7 |& n. _$ Z+ Z
Curve fit , 曲线拟和 7 P+ j. r2 D3 ]/ u! x4 r) U+ ^
Curve fitting, 曲线拟合7 C+ v1 K* Y+ h9 \9 ?- e5 p
Curvilinear regression, 曲线回归
* N+ O6 p5 ^5 P: |! s- PCurvilinear relation, 曲线关系6 o+ e0 R4 P6 f2 T) x& B: z
Cut-and-try method, 尝试法
2 G% q5 W! P& e h; P2 KCycle, 周期
5 N4 }9 K5 w8 ?/ B9 w# {$ s6 H: qCyclist, 周期性0 e3 \) I- S; f9 l; p* I) \) [
D test, D检验
3 g8 E$ u# y: ~" t" O3 ZData acquisition, 资料收集4 `1 }8 C4 B4 J9 V' n. K9 O( u
Data bank, 数据库
+ D1 y4 Z3 _" D' k/ Q, uData capacity, 数据容量
: ^& s( \; U4 D/ I9 G5 g& [Data deficiencies, 数据缺乏
! T1 C4 ?" r7 b$ u- c$ ?Data handling, 数据处理
6 ]3 y) L `8 l+ N9 g) b$ f" qData manipulation, 数据处理
5 \- ~1 N2 Z# [' W5 o" J7 _1 D0 I" Z/ EData processing, 数据处理
; a9 X% I- Q3 SData reduction, 数据缩减8 Q. X+ b R/ Q& J& Y
Data set, 数据集
2 J. [0 u5 J) @$ b6 P- p4 o, kData sources, 数据来源. R: C" J0 c( H- m7 u! V, @1 w
Data transformation, 数据变换; P" w% N$ @ T0 l4 u# p( K
Data validity, 数据有效性
- a9 ]- a. M# EData-in, 数据输入
0 G4 G2 ~! w# y0 o L9 P- e, B: ^Data-out, 数据输出, V; g% @! B7 n
Dead time, 停滞期: _9 K, P4 M- k Z
Degree of freedom, 自由度6 \1 r _( V% t1 x
Degree of precision, 精密度+ _: q% w( {5 Z! }, k
Degree of reliability, 可靠性程度9 v2 E0 b$ U4 u; p' z% g
Degression, 递减# x' d- ~. j( C
Density function, 密度函数
9 V# B& H/ |# B3 f5 u* {Density of data points, 数据点的密度+ h' q8 V& x' ?+ O \. E
Dependent variable, 应变量/依变量/因变量, S9 C' C4 v) `8 k
Dependent variable, 因变量. F4 r& L& ^" i R1 |, W
Depth, 深度) Y% D9 S6 u2 F9 g
Derivative matrix, 导数矩阵
4 M& ~* G. o/ d* {: iDerivative-free methods, 无导数方法9 r, v/ E. ]) ?, u
Design, 设计1 A+ b9 g$ T* D8 B
Determinacy, 确定性* ]& R6 h/ x- y% s
Determinant, 行列式: j; V" I1 ]. e1 t8 O0 I# V3 Q) n
Determinant, 决定因素+ a. Y" t: M# l( s% S/ v
Deviation, 离差8 K Y' D5 T0 } w9 Y9 ^2 a
Deviation from average, 离均差
0 S- o2 }/ e4 }Diagnostic plot, 诊断图 [1 E% M, Y* l8 {2 }
Dichotomous variable, 二分变量6 n+ W8 L1 t y2 n
Differential equation, 微分方程
# g9 s' ]# R FDirect standardization, 直接标准化法
: |3 U* C2 Y$ ^# n2 X5 {Discrete variable, 离散型变量- O9 v6 I. s8 ] k
DISCRIMINANT, 判断
( `& M& T% V: d/ g* C7 ]Discriminant analysis, 判别分析
- }0 x. W+ C I; V7 h+ T; |Discriminant coefficient, 判别系数
7 |1 l# b9 T2 [6 Q7 w0 q- ZDiscriminant function, 判别值
$ C, v$ i' _# [% TDispersion, 散布/分散度) m6 W( {5 B @, m( d8 \
Disproportional, 不成比例的
/ y! @% r0 Q: g" D" a- D- PDisproportionate sub-class numbers, 不成比例次级组含量, e$ ?) E# D6 K W
Distribution free, 分布无关性/免分布
4 ~+ |; y( J7 B. ~Distribution shape, 分布形状8 i4 _! I: P) e5 @
Distribution-free method, 任意分布法( m, {4 W4 Y& V6 B1 E5 ~. V0 Y6 x2 k
Distributive laws, 分配律! [; H# f4 a7 Q4 S$ n1 y
Disturbance, 随机扰动项* e. k; P+ T" a% b+ Q {+ ?
Dose response curve, 剂量反应曲线! J# q8 `: \# ?2 {
Double blind method, 双盲法9 c6 G3 n% L5 M% D: \+ e
Double blind trial, 双盲试验3 g7 Y, y& s g, Z
Double exponential distribution, 双指数分布' W) Z+ C" j9 m/ C C
Double logarithmic, 双对数
6 G8 m: I9 N: w6 i4 [; cDownward rank, 降秩
3 d0 S. [. w3 ^Dual-space plot, 对偶空间图
& ?2 k5 I, z. g' J- X" q4 aDUD, 无导数方法6 ^& p) L" ?9 }
Duncan's new multiple range method, 新复极差法/Duncan新法
) F2 R. g) B# ^9 P# h @5 f3 dEffect, 实验效应5 S G5 u, F: w& h8 `' o+ ]2 h
Eigenvalue, 特征值9 q; x5 L k6 o
Eigenvector, 特征向量
0 e/ ?) `& `2 s! X/ y3 m5 tEllipse, 椭圆
7 X; I6 z& g' q; q5 Q- @Empirical distribution, 经验分布
2 W5 M. H C+ Q) p+ b6 m& g L1 D( c! \Empirical probability, 经验概率单位
( F4 ?; [4 V0 {5 hEnumeration data, 计数资料
3 G$ E" N* f) X: q/ PEqual sun-class number, 相等次级组含量0 b7 Q: d. p1 [ ^, D# g
Equally likely, 等可能9 Q" W$ w' v: s
Equivariance, 同变性
: O& l) i) L) r0 ~' f# Q9 q. xError, 误差/错误
0 ?# v" t. @5 C* D, _8 dError of estimate, 估计误差
" Z6 w6 _& H4 s6 v; u2 {Error type I, 第一类错误
1 Z1 n. f7 \9 O& e9 A$ tError type II, 第二类错误
# Z6 s1 K) \: X, U, }+ yEstimand, 被估量
, ?2 |6 r3 j3 \3 ~+ M# L7 mEstimated error mean squares, 估计误差均方. X$ U( o" t# i5 S
Estimated error sum of squares, 估计误差平方和
& c9 e% J- j' d2 d5 dEuclidean distance, 欧式距离
( J& ^ u' r. `' \9 K" ?Event, 事件
) l) \. G; ]. f7 rEvent, 事件
) { t6 ^" I' H- z1 \6 r' rExceptional data point, 异常数据点
1 K+ h6 A; k( Z" Q. l# Q5 n, i( iExpectation plane, 期望平面
9 T& o+ n2 |8 C' \3 \' H9 wExpectation surface, 期望曲面
$ p5 X3 ^) D7 X6 RExpected values, 期望值
; ~- E* g6 H S* c9 w. GExperiment, 实验, n/ `5 G$ i+ p
Experimental sampling, 试验抽样
7 i$ Q$ f, T+ }& M) }9 t/ H; uExperimental unit, 试验单位4 r9 l9 W8 B) o3 g
Explanatory variable, 说明变量' e' c! B5 G; E6 c
Exploratory data analysis, 探索性数据分析0 _3 T% ?8 e4 F# ~6 X
Explore Summarize, 探索-摘要
, b5 U I: l8 y6 I6 fExponential curve, 指数曲线
, u5 E% F; M' s& O. w& ~+ {: DExponential growth, 指数式增长
. I+ O- l' m6 xEXSMOOTH, 指数平滑方法 / s; G3 p$ J. `
Extended fit, 扩充拟合
- o8 y7 I0 A% R( aExtra parameter, 附加参数
' G4 Z6 N8 ^% J3 ^Extrapolation, 外推法2 |( ]1 G2 ]0 K( T3 H! k
Extreme observation, 末端观测值
/ M6 @! \$ i; j- `( ~2 u vExtremes, 极端值/极值& |5 v" s! @1 m1 S
F distribution, F分布7 i' @1 l3 c& n8 m* a0 Z0 S9 d5 b7 I0 b
F test, F检验( K5 d2 A2 ]4 Z9 l z7 B: {
Factor, 因素/因子1 }- k! f& V+ e7 B7 l
Factor analysis, 因子分析% p6 I* ?" F n2 u) ^1 Y
Factor Analysis, 因子分析
2 u8 J- G+ N2 k8 p* cFactor score, 因子得分 ' X0 Y/ L9 T I8 @" f
Factorial, 阶乘& a$ P* p: ^/ I* ?
Factorial design, 析因试验设计
* q+ V( n c7 X; J ]0 A" b% |False negative, 假阴性2 e) `: X5 j, z
False negative error, 假阴性错误0 T9 |& P. K2 G) C7 U3 n
Family of distributions, 分布族
8 j" R1 d7 R1 t/ z2 x9 nFamily of estimators, 估计量族3 H& D" ?. x" N8 T
Fanning, 扇面! G1 a" M1 \3 b
Fatality rate, 病死率
2 U: {% A# c& S6 o% B" ~8 iField investigation, 现场调查( ^( P$ z. g1 i& c& a& B/ M7 W$ N
Field survey, 现场调查+ q: M$ Q# o9 X4 ^! a- S. w
Finite population, 有限总体% |1 }8 v9 `$ q: V7 @: p
Finite-sample, 有限样本
2 p; T0 _7 D) {/ {* b. f9 _First derivative, 一阶导数
) D8 L- F# B5 f( j" vFirst principal component, 第一主成分; V9 U7 O' I8 _$ M& c
First quartile, 第一四分位数
- o$ {; D; b, c0 ?: E1 yFisher information, 费雪信息量, z7 S3 d/ y; m2 |% J+ k
Fitted value, 拟合值 j* n+ U8 H$ l8 b1 S/ Q
Fitting a curve, 曲线拟合# A* P w) q. D" a5 t
Fixed base, 定基, M E& Z+ y/ h" j# i
Fluctuation, 随机起伏
( J# @& P1 e3 `- [Forecast, 预测
% g2 V+ _& F8 E3 ~1 NFour fold table, 四格表
" y- ?& x) ~, pFourth, 四分点
! W& Y+ O6 X0 I" GFraction blow, 左侧比率
# @* p) f9 \$ Q7 {" u: ]- Y) x/ H1 H: T* cFractional error, 相对误差6 H7 W- z" J u% N4 t. h
Frequency, 频率- x8 C6 K& x" k, _- X9 c+ Y* @! {
Frequency polygon, 频数多边图! A1 ?, ` X2 P/ O# ]/ h
Frontier point, 界限点
1 |, n O2 V) NFunction relationship, 泛函关系- p* |# N1 x+ b) v
Gamma distribution, 伽玛分布( K, ? x" \! S- U9 n6 b2 V
Gauss increment, 高斯增量9 i% j g* F( }- h6 U6 _
Gaussian distribution, 高斯分布/正态分布( j* w% \4 X- X, a
Gauss-Newton increment, 高斯-牛顿增量
( i3 R% R) e6 V! q+ L+ gGeneral census, 全面普查* ]: Z0 y5 r, v" Y$ Y
GENLOG (Generalized liner models), 广义线性模型
( o3 }& H6 w: e1 @Geometric mean, 几何平均数* L4 J9 K0 q+ b& y v
Gini's mean difference, 基尼均差) Z j" j6 a y, p+ R% C
GLM (General liner models), 一般线性模型 # `% R7 x8 Q0 p5 m& o4 L7 |
Goodness of fit, 拟和优度/配合度
0 ]2 A8 T4 h( V8 r% Y- KGradient of determinant, 行列式的梯度
* Y7 J- K) y; J" W- }Graeco-Latin square, 希腊拉丁方
4 a" ?+ K3 a( d4 V2 R3 C9 RGrand mean, 总均值
. ^. S( N9 H* d7 qGross errors, 重大错误* D7 H; w7 X2 j* z- |
Gross-error sensitivity, 大错敏感度8 Q p# M0 h W
Group averages, 分组平均" S- Y# t3 S0 P+ f! z7 A7 p" m
Grouped data, 分组资料; y; V! Q. Z2 }) r
Guessed mean, 假定平均数
$ E# w- p C" y9 _* G; a: BHalf-life, 半衰期
$ v+ c2 y1 m' |7 W" Q; C7 }Hampel M-estimators, 汉佩尔M估计量
- H8 b( ^$ {' i- HHappenstance, 偶然事件& Z' n5 z+ g/ k# E: g
Harmonic mean, 调和均数! o. W1 k- J8 T" r# O
Hazard function, 风险均数# G; S( T/ S5 W( s) G" P2 v
Hazard rate, 风险率! J0 d M( e5 n6 C
Heading, 标目
( q& r* {; f4 D8 h. t9 d) _0 H' ?% LHeavy-tailed distribution, 重尾分布7 c- g+ M; h; f; _
Hessian array, 海森立体阵
' d0 L* Y. b9 q/ `! P+ k5 THeterogeneity, 不同质# g5 h+ q* M2 _/ Z- u& C; A, c5 k
Heterogeneity of variance, 方差不齐
/ i1 o9 M8 ^: W0 w& C* L! \Hierarchical classification, 组内分组* Z8 t: l2 r8 n& S( S3 h7 y. E
Hierarchical clustering method, 系统聚类法
: o7 L: F2 K* f) O; f, F! |7 AHigh-leverage point, 高杠杆率点
- f9 y! b5 r( A/ @; bHILOGLINEAR, 多维列联表的层次对数线性模型/ B/ v) m) N) r+ n( r+ f9 [- m. R
Hinge, 折叶点/ |4 J3 ^8 r" E! a( @$ g/ ] j( Q
Histogram, 直方图
$ Q W. Q6 J: }# nHistorical cohort study, 历史性队列研究
% i; r" f k8 u: ] \9 m) lHoles, 空洞
4 H; u( E5 n# l" j5 e. sHOMALS, 多重响应分析
1 Y) l: I7 q; ^$ u# t. QHomogeneity of variance, 方差齐性0 `7 s a( c% Q. d5 L
Homogeneity test, 齐性检验
; A1 A" Z, \( h; xHuber M-estimators, 休伯M估计量+ `) g1 b6 N: U- j7 i
Hyperbola, 双曲线* O0 X) v7 _" x8 B: Z4 }$ Y
Hypothesis testing, 假设检验
% ^" [* J# P4 D2 b! d0 EHypothetical universe, 假设总体% y3 h A% {4 c& j# Z
Impossible event, 不可能事件+ [2 t" Y3 a2 W$ J; O7 `: ^
Independence, 独立性# k0 x5 m' g* N9 z; c3 `, m3 F1 V
Independent variable, 自变量
" }1 j' e& a6 F# o# eIndex, 指标/指数
" e5 K% n* D5 ]/ K; l, dIndirect standardization, 间接标准化法& C: N) y+ ?; M
Individual, 个体
" j S7 j$ j$ W, F6 C0 |Inference band, 推断带5 o! m; W& ~) Z8 A7 {
Infinite population, 无限总体# v- e- Q. a" M- u0 e/ ^' u& A
Infinitely great, 无穷大 n) p0 U x6 Y# X! |3 M
Infinitely small, 无穷小$ k% p/ Q& a; |) n
Influence curve, 影响曲线8 e/ p( {1 R- R$ l( J0 _
Information capacity, 信息容量
4 T9 q0 j5 v# K4 ]5 [( [3 CInitial condition, 初始条件+ \2 V8 k3 k' G1 E8 z5 L
Initial estimate, 初始估计值! O4 j6 J, a; d$ f
Initial level, 最初水平
: d J7 M! K; B# U& [Interaction, 交互作用
. e' ]8 @: f2 Y& k- S7 J1 gInteraction terms, 交互作用项
/ T i9 I g/ ?4 x% LIntercept, 截距, V/ y. ?5 w [/ Q0 ~8 Y, ?
Interpolation, 内插法
2 ^9 ]! _1 G1 y1 I" j# aInterquartile range, 四分位距* g/ ~1 `4 e6 Z# g! O$ w( c2 U
Interval estimation, 区间估计/ w1 K$ L+ t) y
Intervals of equal probability, 等概率区间
5 B# |# o/ Q) @8 {Intrinsic curvature, 固有曲率
0 N" g v3 c3 dInvariance, 不变性+ T' k( Y$ C) q
Inverse matrix, 逆矩阵
4 z3 |! N, v# V& d0 |) I/ g" fInverse probability, 逆概率
& L2 {$ u1 P" i$ ?, |Inverse sine transformation, 反正弦变换( r# ~0 Z! A5 y
Iteration, 迭代 2 x! T' }7 R& y8 ~* f2 [
Jacobian determinant, 雅可比行列式9 o+ M& g, i" G4 S0 U, }& p
Joint distribution function, 分布函数+ ]* C( {6 z" q
Joint probability, 联合概率
0 ?! V: P; @( @$ M8 m. LJoint probability distribution, 联合概率分布
( n3 ]5 l7 v8 B: m" e& ^K means method, 逐步聚类法
# ^3 ?: U7 N# t! _' l$ tKaplan-Meier, 评估事件的时间长度 : j7 b% T+ `5 l8 U0 A
Kaplan-Merier chart, Kaplan-Merier图
) Z* k1 A3 K8 i, A7 ~& e6 z3 HKendall's rank correlation, Kendall等级相关, L; y( k0 @; B ?9 M$ H- {
Kinetic, 动力学 V7 M; i" y2 S
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
3 \, W0 J4 C2 X3 G% D5 tKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验" Y/ t1 _* M3 M1 F& ?/ s* J1 l7 g* g
Kurtosis, 峰度0 \- U4 R- m8 b( d2 [3 \0 k2 o+ b# |
Lack of fit, 失拟
: y6 A) {8 l; y# b# YLadder of powers, 幂阶梯: I1 g9 n* g( t6 \" R$ h
Lag, 滞后
% s# K# f3 `; \ N, }, d5 tLarge sample, 大样本
6 r5 J: T2 h8 n: I1 v6 M fLarge sample test, 大样本检验
J; Y; x% O# ~: w( _! s+ XLatin square, 拉丁方
& K2 a5 g4 d9 [; R' QLatin square design, 拉丁方设计
2 C' Q q: U5 D( S: W% zLeakage, 泄漏7 K5 u5 R2 r0 [& F3 q4 ^
Least favorable configuration, 最不利构形
1 ]. d" G8 i+ K( @* XLeast favorable distribution, 最不利分布
0 P$ s6 K u4 E7 B2 o0 {% G' A0 sLeast significant difference, 最小显著差法
) \& m4 b2 l* \+ m8 d' iLeast square method, 最小二乘法( m3 x$ n$ `& {
Least-absolute-residuals estimates, 最小绝对残差估计
; ]- y1 F/ v$ v+ c/ oLeast-absolute-residuals fit, 最小绝对残差拟合+ \3 G g( f+ j5 l; [5 o
Least-absolute-residuals line, 最小绝对残差线& B* X7 O4 t: _/ w# x7 c1 F
Legend, 图例
4 E2 m: S% P6 P7 H# ZL-estimator, L估计量- j! m9 V9 l2 W9 A: |; K y* t
L-estimator of location, 位置L估计量
$ P, @/ r1 l( E4 t. a% l* qL-estimator of scale, 尺度L估计量
% ]% h' y6 L6 ]8 H: ]9 g( hLevel, 水平, \# _3 P/ i# Q- @, w* Z
Life expectance, 预期期望寿命3 z3 l& {' m: o
Life table, 寿命表
7 r* `1 r, g) H e" e! @) YLife table method, 生命表法0 h+ B. h9 V% y% _- P- J# I
Light-tailed distribution, 轻尾分布" r9 o7 q A) g6 P1 D0 p
Likelihood function, 似然函数
9 z7 s0 W/ G2 C3 P7 `Likelihood ratio, 似然比
! l# V0 W6 N& y- S$ V/ rline graph, 线图1 L. t5 v7 C o, @3 g
Linear correlation, 直线相关
8 q" J2 u8 T- H- Z: qLinear equation, 线性方程, B& C* Z* s" v
Linear programming, 线性规划% H8 d5 G& M+ D+ C, x' o& T
Linear regression, 直线回归
: [1 w$ {- R& ~+ C5 m2 mLinear Regression, 线性回归
" Q) |* h# P. {5 }7 m& PLinear trend, 线性趋势6 J( S. Z) x6 j V; `
Loading, 载荷 5 O( j& W4 ~1 q: Y# t* ~
Location and scale equivariance, 位置尺度同变性
7 H+ K; d# `- }; k6 \Location equivariance, 位置同变性
$ B) `. O9 v( B' q9 xLocation invariance, 位置不变性
9 A' l, N. s7 Y" u, h* t7 j O# I2 aLocation scale family, 位置尺度族
& C! X8 F. {% FLog rank test, 时序检验
4 U$ q" ^- T$ ?: q% dLogarithmic curve, 对数曲线- B7 `: x: O$ @% Q" W. |! \
Logarithmic normal distribution, 对数正态分布( w% {9 T" b7 L+ {0 a/ ?. w1 d
Logarithmic scale, 对数尺度( P0 n( e v. G# D- B5 ]% a
Logarithmic transformation, 对数变换
6 K; p/ Z: \' zLogic check, 逻辑检查6 V' F8 j; a+ R5 L; k% X% @
Logistic distribution, 逻辑斯特分布
+ j( R" v) |" tLogit transformation, Logit转换" _2 v+ |' i$ j' Q6 E9 j) L. o [
LOGLINEAR, 多维列联表通用模型 7 b5 C1 X Q$ r1 k! Z6 y7 J
Lognormal distribution, 对数正态分布
! v5 v5 o' k+ P( d$ P: ?Lost function, 损失函数" Y! x+ u# z B, T/ [7 X* `
Low correlation, 低度相关, a- W6 ~; e3 ~. X9 R9 [
Lower limit, 下限) }: p; `' s, o
Lowest-attained variance, 最小可达方差
( C! Q+ D3 J7 uLSD, 最小显著差法的简称! H* n3 T9 n* _& J+ b" ?; R
Lurking variable, 潜在变量
5 n. l) T% k9 `/ j1 H1 zMain effect, 主效应9 q' z J* C8 S
Major heading, 主辞标目3 |. p7 S/ I* o# E
Marginal density function, 边缘密度函数
& J9 @2 D0 O- C; ^ F9 r, G5 vMarginal probability, 边缘概率
+ D' N$ } f& n" O4 iMarginal probability distribution, 边缘概率分布+ l& ]- _! M$ p$ G8 i+ h7 ?) u6 d
Matched data, 配对资料" {2 d1 Q+ l$ h4 K
Matched distribution, 匹配过分布
) c' ?0 D: e! q' E# oMatching of distribution, 分布的匹配
( p- `3 @8 { w) XMatching of transformation, 变换的匹配
3 ]0 m) M/ t) l* ~5 D) QMathematical expectation, 数学期望2 u. J$ y$ S9 ?) v; E+ ~
Mathematical model, 数学模型
4 w) P" i% N0 e: C e8 tMaximum L-estimator, 极大极小L 估计量% T9 l. J# o4 }/ i6 H+ q$ J
Maximum likelihood method, 最大似然法3 w6 c2 V$ o5 i' v9 J! T
Mean, 均数# u1 I2 P0 o/ i: w2 M% `
Mean squares between groups, 组间均方
! O3 X5 y$ U* b5 k6 T: l" @( m5 BMean squares within group, 组内均方2 G; M3 }# V5 n% T
Means (Compare means), 均值-均值比较2 ^. l7 E+ V5 o. y% @0 z
Median, 中位数
7 ^! a5 E h! c! i8 q1 H# d( f" oMedian effective dose, 半数效量
6 S8 R8 P( V8 w) w, q+ A4 }Median lethal dose, 半数致死量7 v7 y* ?9 W/ p U! e% E( R, X
Median polish, 中位数平滑
! a9 q7 V# z8 P1 P5 jMedian test, 中位数检验6 t- r3 |* C' S$ [% O
Minimal sufficient statistic, 最小充分统计量
7 u$ h; ^* A7 GMinimum distance estimation, 最小距离估计
! \# {, b% h) ^6 BMinimum effective dose, 最小有效量
3 X7 p# H3 e0 EMinimum lethal dose, 最小致死量- d8 ` W+ d {: q/ R
Minimum variance estimator, 最小方差估计量
) g! v9 H4 M0 S/ e7 Y. x3 SMINITAB, 统计软件包
2 K" Z# p" F& c& \0 H0 n) \Minor heading, 宾词标目
; N8 }( c- t3 GMissing data, 缺失值
3 B7 g+ k( {' TModel specification, 模型的确定& {% k5 V: D% @4 e/ B# G+ r
Modeling Statistics , 模型统计
$ w5 g6 W) }) P6 hModels for outliers, 离群值模型
( A. E' i: [: ^Modifying the model, 模型的修正! z! b. R' X. Y& {2 h
Modulus of continuity, 连续性模
. g {& [1 n! t3 T8 HMorbidity, 发病率
; L/ p! e9 k0 B9 QMost favorable configuration, 最有利构形, u% w" E( L* z( r- U7 R
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
1 E. v5 I4 D i' h! B* D/ KMultinomial Logistic Regression , 多项逻辑斯蒂回归0 b: n' _) M# j7 q/ g* l: Q6 L3 K
Multiple comparison, 多重比较
( D: }/ o2 `$ z" x1 {* zMultiple correlation , 复相关
( P/ T0 t6 @3 n" U+ @& pMultiple covariance, 多元协方差( U* f) W# W, N) k; Z
Multiple linear regression, 多元线性回归# b: ?. G! ]0 }) Q0 P2 u
Multiple response , 多重选项
: u, n) ?7 a: Z! H, [2 Y8 X1 q6 W& ?Multiple solutions, 多解8 t# S) s6 @* p8 U9 g5 r$ I0 E
Multiplication theorem, 乘法定理
1 {* W$ P7 c& Q5 w/ t2 ?Multiresponse, 多元响应
" l( k4 O! m. pMulti-stage sampling, 多阶段抽样
3 g7 m2 i) ~" ~6 a1 x8 `Multivariate T distribution, 多元T分布% ?) Y- m; N& w+ y# v9 _6 a
Mutual exclusive, 互不相容
# `2 G1 I$ N' dMutual independence, 互相独立
4 d# h$ ]% a2 m5 |# HNatural boundary, 自然边界' v: S9 z" P5 I" Q* ?# B; A! U
Natural dead, 自然死亡; e8 y" q( W3 N$ E% p
Natural zero, 自然零+ |' Q9 a7 Z+ U/ d
Negative correlation, 负相关: \( o% q6 M1 ^0 H* {8 e! i
Negative linear correlation, 负线性相关& [; s! t3 g& E
Negatively skewed, 负偏
# |% @% C; f+ ]8 x2 yNewman-Keuls method, q检验) z' w8 h3 z0 @# G7 Q" {
NK method, q检验$ `8 [$ g. X) `. P) m
No statistical significance, 无统计意义
) M4 _; s; R6 e, _. k1 p% {. K- TNominal variable, 名义变量) a/ h4 `4 I7 v5 c# K" O& ]
Nonconstancy of variability, 变异的非定常性, q- `% R9 [, l
Nonlinear regression, 非线性相关 X8 A6 a1 t2 |4 X4 M& ]( e0 C
Nonparametric statistics, 非参数统计
7 N& D1 j' L9 @: _+ n- VNonparametric test, 非参数检验
2 G" t& G! c' Y$ hNonparametric tests, 非参数检验
( R9 W' F% _ U, n' VNormal deviate, 正态离差
/ Z+ Y5 `. p* S2 K# lNormal distribution, 正态分布
# O' z V4 }+ G8 S* _& }) CNormal equation, 正规方程组+ a( N0 C' c" j( F7 |
Normal ranges, 正常范围
: @/ H7 |& S! A3 O; |Normal value, 正常值" u- j& J; T D: W" r
Nuisance parameter, 多余参数/讨厌参数& `; F" V7 z) |+ |8 E
Null hypothesis, 无效假设 5 N9 `$ C8 T* I, C6 ]& ~8 M" L$ `
Numerical variable, 数值变量2 f7 Y4 r! T' e g8 J: a1 g0 d" F
Objective function, 目标函数8 g% K1 }7 H4 q; f2 I0 ~2 Q
Observation unit, 观察单位
: M7 x8 {+ O9 K+ U$ c* A: ^Observed value, 观察值
8 L# T4 M1 }; a! MOne sided test, 单侧检验( P/ b3 o4 R& v9 h: n, s; i
One-way analysis of variance, 单因素方差分析
( S1 x1 w* T: F" W/ Z7 mOneway ANOVA , 单因素方差分析' j) Z' C6 R/ ~ S, X
Open sequential trial, 开放型序贯设计/ x* b8 K+ C1 Y7 C! ^: R- \6 b; s
Optrim, 优切尾, C: O' L% k4 m
Optrim efficiency, 优切尾效率2 ]9 c* E ~: d
Order statistics, 顺序统计量
% ~8 I5 L( t% H5 O: y: U: K8 ~Ordered categories, 有序分类
5 c8 [' I: s! jOrdinal logistic regression , 序数逻辑斯蒂回归
d l- I$ K7 w- P: UOrdinal variable, 有序变量% l- Q e) n: h/ T( F) ]
Orthogonal basis, 正交基
- E: U9 V# r; d/ f% C5 N" D$ K, j; f- @Orthogonal design, 正交试验设计
9 C& o: _# I/ h" J, j7 nOrthogonality conditions, 正交条件5 n" J' b7 v$ R% F$ g
ORTHOPLAN, 正交设计 4 W! u! }4 I; M4 P
Outlier cutoffs, 离群值截断点/ T# s0 J6 }2 N+ A. n- C& N3 \
Outliers, 极端值; }& Y4 N: f9 C# M: A& `
OVERALS , 多组变量的非线性正规相关
* a8 ^8 L9 g3 s: \Overshoot, 迭代过度: F! }: f( A6 O' b' M
Paired design, 配对设计
" Z3 K* }/ w/ ]# I" h9 K5 q( oPaired sample, 配对样本 H. {/ U- q. V% L. t9 ]
Pairwise slopes, 成对斜率( t! Z: P [- O$ P
Parabola, 抛物线
, A% ^% y: W' @+ bParallel tests, 平行试验( Q$ v7 C: e Y+ K$ Z5 y
Parameter, 参数
9 Q( N' V1 `' d7 [! pParametric statistics, 参数统计
' K7 z3 y/ [( @! {4 p; HParametric test, 参数检验. z: D" l2 U1 f" k2 F, D% L# I
Partial correlation, 偏相关, L# o; f& B" `: r3 n# o9 z
Partial regression, 偏回归
* A) S6 ^6 x3 E: a/ b+ OPartial sorting, 偏排序
) \. u5 W1 l! E2 {- WPartials residuals, 偏残差6 U6 ?& }, g3 i2 V
Pattern, 模式
% n9 S. @+ L9 O4 U2 YPearson curves, 皮尔逊曲线
- k! w$ U2 G. j/ V% A8 u- G, kPeeling, 退层
' Y; D- N) n) Z' Z2 XPercent bar graph, 百分条形图( k. C ?5 m1 h
Percentage, 百分比
' ]# W: y5 G/ P0 x% p4 Y/ } C- MPercentile, 百分位数
* p! S" _4 e O$ M, r5 lPercentile curves, 百分位曲线2 d4 s0 v: q! I; \, j2 s8 G$ z
Periodicity, 周期性
5 |. H, m3 z L& @- F; U' xPermutation, 排列
0 K4 L# `& U/ M7 C% X" a3 AP-estimator, P估计量6 R0 M l4 H( n; t% q" S. z |7 u
Pie graph, 饼图2 c9 R, ]8 ~) Q2 \
Pitman estimator, 皮特曼估计量& a5 _% D2 B7 }$ \$ s, N0 W o8 V
Pivot, 枢轴量: A7 Z+ g$ d @8 C8 }
Planar, 平坦
2 T* f. N, v7 {$ T" I; J3 VPlanar assumption, 平面的假设" D! q; @: ^# |% g6 |5 @( W% H
PLANCARDS, 生成试验的计划卡% Z" C# p: F$ V' L9 h ]
Point estimation, 点估计
: M% A% a) @. X' S9 S+ R8 t1 J! HPoisson distribution, 泊松分布
( n2 N7 }+ \% |- ^Polishing, 平滑
- }1 G5 T- R R# x, g' m* iPolled standard deviation, 合并标准差
; P6 H9 d- v$ n5 H4 O$ ^3 @- EPolled variance, 合并方差
( \. v; \, c$ A7 ]7 V/ B" }- d$ IPolygon, 多边图
' C% G& Y: ~+ m- `; u% BPolynomial, 多项式5 I/ H" p3 J3 m, H/ u4 m7 W
Polynomial curve, 多项式曲线
/ n' _+ H2 f, z# j3 w* k/ oPopulation, 总体
$ b3 x- `5 d5 f% g; q+ hPopulation attributable risk, 人群归因危险度
1 h( ]) d! p( { }* T0 iPositive correlation, 正相关* E3 l; V! @$ N* S# t$ r% p
Positively skewed, 正偏
3 o4 R6 Y+ a w+ j& zPosterior distribution, 后验分布
0 ~* u. } s, F% C) K+ i7 SPower of a test, 检验效能8 X/ h' q/ a# |
Precision, 精密度4 V7 c( _0 p7 T; j* |* V
Predicted value, 预测值" L" u/ ?1 H: l# `/ f1 x) c
Preliminary analysis, 预备性分析
! L7 L& k: R2 W% M1 cPrincipal component analysis, 主成分分析- E- g- _% E/ x' O, H
Prior distribution, 先验分布! e1 e" N' x, O7 S
Prior probability, 先验概率
6 p/ }7 P$ t( o, d+ z8 yProbabilistic model, 概率模型! ?5 F9 A0 i. ?1 R, h8 e, @$ S
probability, 概率8 r) B% @* O# {
Probability density, 概率密度
- v) r0 Z4 ]' P& X, BProduct moment, 乘积矩/协方差
" ]! J# K! F2 W; w$ q$ B' YProfile trace, 截面迹图
/ s/ e7 `5 H5 U$ GProportion, 比/构成比4 g# r3 X% x6 X& k: E* h, Q
Proportion allocation in stratified random sampling, 按比例分层随机抽样
( o. p6 s' Z1 x9 G+ g b9 PProportionate, 成比例; T2 c+ @- ^! ^2 M% I3 @7 t! c
Proportionate sub-class numbers, 成比例次级组含量
7 r+ Y1 V; E# S6 a+ uProspective study, 前瞻性调查8 ]9 W- y+ M* \; h
Proximities, 亲近性
) ]5 t$ N& c% c5 SPseudo F test, 近似F检验
/ R3 s# [+ J( v5 `Pseudo model, 近似模型* L" r/ i7 e) x4 ^9 @& w- T
Pseudosigma, 伪标准差5 h0 J8 ], C" c3 w; e
Purposive sampling, 有目的抽样
: x5 |+ {% F6 a6 L' |QR decomposition, QR分解
1 L) m# `& n3 n9 A' Z( M/ |Quadratic approximation, 二次近似8 x v. E6 F2 S
Qualitative classification, 属性分类
$ N: n4 B: |6 p( MQualitative method, 定性方法! Y3 }4 ~( b: m. h1 }, H3 c
Quantile-quantile plot, 分位数-分位数图/Q-Q图
: b0 n2 s$ I. c7 T, SQuantitative analysis, 定量分析. \% _! Q) z, Q2 P3 n4 J2 L
Quartile, 四分位数" ]* C% R `& n% T+ S! P- {
Quick Cluster, 快速聚类
% U6 K v' b! O) T0 `Radix sort, 基数排序
% s% y3 d: E: W1 Y6 {Random allocation, 随机化分组
$ K6 w8 B" s1 u9 RRandom blocks design, 随机区组设计
5 T1 j) o( K" N; Y* X% xRandom event, 随机事件, X I$ ]" V O& k g! F- [
Randomization, 随机化
5 D; T7 l) r6 DRange, 极差/全距2 y; q( v1 ~ U) h; `1 f
Rank correlation, 等级相关
; N3 j) w& }+ \4 D- g2 }Rank sum test, 秩和检验8 l+ f9 J2 r7 _8 N% e, _% t( u1 m
Rank test, 秩检验0 X' Q a6 N& L2 S+ a5 i
Ranked data, 等级资料1 e2 D, S; A" e7 \+ l0 q6 W
Rate, 比率" ~6 Y8 K) |' _6 ]1 p7 b
Ratio, 比例- Y' ^2 F8 g$ M2 o7 c
Raw data, 原始资料
; q' H0 D% F Q3 \: i s- YRaw residual, 原始残差
( `' q. Z( w6 s' E4 d4 b/ sRayleigh's test, 雷氏检验
0 m8 B* x* v; B* XRayleigh's Z, 雷氏Z值
! i7 s$ X" x$ i' d$ m- H4 ^9 M5 VReciprocal, 倒数
$ f: k# R4 ]+ W. t" l( PReciprocal transformation, 倒数变换6 p% c/ E' E* x
Recording, 记录
! l8 G5 E9 k) _. @0 J; ^0 a6 m+ ORedescending estimators, 回降估计量
4 h9 g% g A, c7 K5 X5 o$ dReducing dimensions, 降维3 \1 ~0 [9 o+ D* H
Re-expression, 重新表达- ~' ~. X8 U' M: E4 Y
Reference set, 标准组) z h0 z5 e; B1 l# a4 h: a9 I' O
Region of acceptance, 接受域# R- @1 Q3 |3 S* [: c) N% t1 Q0 ^
Regression coefficient, 回归系数1 W6 }5 z# S$ b9 s" ^/ B6 ?; P
Regression sum of square, 回归平方和
. {9 F* P" | [3 @8 |6 ~Rejection point, 拒绝点. `' ]% ~" S3 U$ I' ]% C
Relative dispersion, 相对离散度4 i% m4 P& m1 P$ J
Relative number, 相对数
) E% ]! r( f7 t8 z; L0 @/ QReliability, 可靠性
% Y/ g% J6 ~6 @" L1 KReparametrization, 重新设置参数6 R) l+ W1 w, n* [1 m2 h% w& Y$ b
Replication, 重复
6 m$ D. O( g: j) yReport Summaries, 报告摘要
% z$ |! |# `8 R2 Q- TResidual sum of square, 剩余平方和* D0 K, r, Q9 K& o8 r' L/ K
Resistance, 耐抗性
L0 E q } k4 M6 D; IResistant line, 耐抗线
$ q$ h; E: B. h* B6 b9 q! n; K8 |) AResistant technique, 耐抗技术
! R1 |( @, c0 n7 g0 n5 }$ X UR-estimator of location, 位置R估计量# y/ }! w1 R# s: }5 F; X! U
R-estimator of scale, 尺度R估计量. j) [" e4 v1 K: ^3 c' i4 o9 u
Retrospective study, 回顾性调查1 t# C* f# _, v/ t
Ridge trace, 岭迹
# [" @( {* Q% B# }4 _ oRidit analysis, Ridit分析5 p" \7 O1 K" m$ g( O
Rotation, 旋转
% x/ g6 V; ~' U5 t9 K7 V4 ~Rounding, 舍入
: D- Z+ b8 |# PRow, 行
. k: P( T" A5 Z$ d. Y7 vRow effects, 行效应
! f/ `2 z! `! @6 |( [Row factor, 行因素5 ~' `# l1 \7 N4 v# Z4 {7 c
RXC table, RXC表
& T2 |5 _ k! s1 E7 p& dSample, 样本9 `7 r( ~9 ]2 G) t
Sample regression coefficient, 样本回归系数/ M& b7 ]* B) a3 a. {! f
Sample size, 样本量0 T( k- L( v$ V: j7 W& d
Sample standard deviation, 样本标准差
& L7 e" A; u# c9 p2 @Sampling error, 抽样误差
& u2 G7 ]$ x0 _) P( _& w/ |; pSAS(Statistical analysis system ), SAS统计软件包
) b; S1 [! E X, W( |% MScale, 尺度/量表
* W3 x: d3 H5 Z' q q* kScatter diagram, 散点图
. H8 J J. n7 n4 \3 \) G8 G3 J# FSchematic plot, 示意图/简图
, A( Q+ `* R F$ C1 E4 g4 D) TScore test, 计分检验- Z, _9 |- q( y6 T+ Y5 E$ l
Screening, 筛检
2 ~; j( `* g6 b |4 U! ASEASON, 季节分析
8 \$ a- {" b: s1 J! h$ FSecond derivative, 二阶导数* P+ z3 c* n+ ~( a
Second principal component, 第二主成分3 l/ s y; I' [7 P7 [
SEM (Structural equation modeling), 结构化方程模型 * B$ s; B$ L$ r; ?
Semi-logarithmic graph, 半对数图4 H# i# f+ c- c. r3 n5 g/ i
Semi-logarithmic paper, 半对数格纸
5 V: }& a0 c7 k5 F G; FSensitivity curve, 敏感度曲线
9 g% S2 ]2 |" ?3 nSequential analysis, 贯序分析( g8 E& o0 l; `9 H# Z
Sequential data set, 顺序数据集( a [; s3 z* n- e
Sequential design, 贯序设计
* }" Z: a0 p9 ~! ?5 m* jSequential method, 贯序法5 W6 N! W- d+ o+ E, E4 p
Sequential test, 贯序检验法3 m( @0 w1 J; S: F7 L9 \
Serial tests, 系列试验
0 ?$ P& {2 \5 U* Z' N/ dShort-cut method, 简捷法 , L: n3 c2 |( O$ r
Sigmoid curve, S形曲线3 s! |; c. y" F' D$ N
Sign function, 正负号函数
( C# Z1 @& W" O& b! NSign test, 符号检验3 v9 K2 X+ q: q7 b% O8 N/ t
Signed rank, 符号秩
% B- {# e9 `5 s; D0 g" U# jSignificance test, 显著性检验* l; q: [* R. T1 o6 C/ n6 |+ s' e" \
Significant figure, 有效数字" O# b1 ?; O' v v% S# g- E* J
Simple cluster sampling, 简单整群抽样) X( D4 e3 T! {( o8 ~/ u! {
Simple correlation, 简单相关
# n/ R X" D9 }% j: C3 v/ s" GSimple random sampling, 简单随机抽样
* d/ z9 a: ~6 g5 u- ]) ~Simple regression, 简单回归
7 M+ `, o+ Q4 H. b1 o* qsimple table, 简单表, n/ }7 q) I$ x( X/ z, c1 `
Sine estimator, 正弦估计量
/ D3 P; ^; Z" d4 l7 h" x+ ESingle-valued estimate, 单值估计
( M9 S! P; K0 I1 h% YSingular matrix, 奇异矩阵, |4 F8 h/ P. I% u" H
Skewed distribution, 偏斜分布+ D' K/ }, X* x4 [+ g6 @3 n! \
Skewness, 偏度
4 S6 W. G6 W F2 h. v& MSlash distribution, 斜线分布
6 x' `: T3 O5 H0 q dSlope, 斜率+ P" I: B( }5 |0 a T
Smirnov test, 斯米尔诺夫检验# a# D$ C8 E% z% |, B
Source of variation, 变异来源
: K' P- o" {& c: _. R# {/ u* \9 X9 eSpearman rank correlation, 斯皮尔曼等级相关0 J$ w2 c' {, v
Specific factor, 特殊因子% P5 b0 \' m5 j+ |3 Q3 _8 r$ d
Specific factor variance, 特殊因子方差
* Q( ?( q8 Z2 W0 m% GSpectra , 频谱
& y7 ^; j! _$ U" ]6 l) ]Spherical distribution, 球型正态分布
8 z% V, A& g1 p9 L& cSpread, 展布
( g* r% d; o- O/ ^, qSPSS(Statistical package for the social science), SPSS统计软件包
. o8 `0 l3 b( {% O2 t( ]# y' aSpurious correlation, 假性相关 d: t8 X4 r$ F+ ~/ r( [( O
Square root transformation, 平方根变换
3 s2 L' F+ X, G: e7 XStabilizing variance, 稳定方差; b- x/ h5 k: k
Standard deviation, 标准差2 W3 y: @. ~7 J- A/ B
Standard error, 标准误8 s" U' W: e4 B3 Z! k. L
Standard error of difference, 差别的标准误, i* h' X1 O. N/ n9 l
Standard error of estimate, 标准估计误差: c1 b9 O8 P6 o. z! v/ _% i% d, o: w4 A
Standard error of rate, 率的标准误6 F8 _* S& H2 j$ v D
Standard normal distribution, 标准正态分布# G: a: D7 D7 k! D7 [7 i
Standardization, 标准化
. a/ B( F( b% r/ D& y2 j8 T% ^; ]Starting value, 起始值3 [* F; S* R2 _2 _% L
Statistic, 统计量# `9 }$ b0 C; i
Statistical control, 统计控制
2 d n; F; ?: e1 mStatistical graph, 统计图
! N8 N5 |( J* WStatistical inference, 统计推断: l2 z i" y$ z/ ~ n
Statistical table, 统计表. c& P, p/ M: h
Steepest descent, 最速下降法+ r4 ]3 Y) V, [6 J- G; R3 n
Stem and leaf display, 茎叶图
! q: b7 [+ C" `; ^Step factor, 步长因子
% Z, Q1 a+ ~1 ?+ KStepwise regression, 逐步回归! e, O$ V L" z+ h ~9 U5 |
Storage, 存" o2 ]" q7 P; ^- u
Strata, 层（复数）
! M1 f' a; B/ gStratified sampling, 分层抽样
; f6 m* ^& U2 eStratified sampling, 分层抽样
) {) m% @) D) r XStrength, 强度: X- t- F* ~' I! ?) u: X
Stringency, 严密性
/ ^; q2 s5 B, uStructural relationship, 结构关系% i V; F9 B# t6 v+ a
Studentized residual, 学生化残差/t化残差
+ z3 ?1 K6 n1 B' U. N& TSub-class numbers, 次级组含量
" f; G1 e: p2 HSubdividing, 分割
4 E: i; p, C% y% @4 E# `7 R0 aSufficient statistic, 充分统计量) t7 T' }- s) o3 K" }. h
Sum of products, 积和9 Q; ^: S! u4 i+ H
Sum of squares, 离差平方和3 P; q( B2 ^; Z; D' H; b
Sum of squares about regression, 回归平方和$ {6 q& ?; l( Z
Sum of squares between groups, 组间平方和
" y4 }# @9 w- T$ xSum of squares of partial regression, 偏回归平方和6 R N" M' h" r2 R6 M, u
Sure event, 必然事件
0 [7 ^4 C# a( a" ^Survey, 调查
2 U% L" m7 D0 W3 C1 G0 ZSurvival, 生存分析9 o' b) @6 m" T5 I
Survival rate, 生存率
' O7 B# o" M m/ R5 xSuspended root gram, 悬吊根图, a! k$ s) t* g: U
Symmetry, 对称
7 {1 R0 t# Q2 U v# ZSystematic error, 系统误差
3 |# K1 x0 G G, SSystematic sampling, 系统抽样
8 \1 |$ \# u# A( r0 _% H, HTags, 标签; L$ y' U) Z9 D+ ^, Y9 ^
Tail area, 尾部面积( r. N5 q4 ~* r" S% k
Tail length, 尾长
! }. \ J# U- R& ]6 i" ?Tail weight, 尾重& S, c6 ^2 A0 M7 s/ p# T/ d/ S/ @
Tangent line, 切线
: C6 P, z* a7 F8 V& z. H3 j1 {Target distribution, 目标分布9 Q. o% t# o$ X
Taylor series, 泰勒级数0 V& Y% k" H+ B* ?
Tendency of dispersion, 离散趋势. d* i0 |4 [% @
Testing of hypotheses, 假设检验
, ?# ]# I) y/ E0 ~0 iTheoretical frequency, 理论频数
6 m* H3 b' ]2 ITime series, 时间序列
1 ^; m* B& [7 I" w# j) {Tolerance interval, 容忍区间+ K5 S- L5 ?# v
Tolerance lower limit, 容忍下限. Y. q( C3 Q8 `& b
Tolerance upper limit, 容忍上限
% P! Z$ ~6 B. v( {0 r+ n z \- sTorsion, 扰率/ H T6 ~- H0 }- E
Total sum of square, 总平方和& n, P G; m7 ~) }! Z9 T. t6 _
Total variation, 总变异
1 ^: M! L1 Q$ @+ V4 kTransformation, 转换
. s4 b+ W; ?' l, W, j: ^Treatment, 处理
# k% F3 _5 m2 T! k. TTrend, 趋势9 x! M6 ^2 J6 n/ t. O/ M, T
Trend of percentage, 百分比趋势 r9 q6 s7 V4 I4 W- {
Trial, 试验- G8 K0 z" B) t& o C( ?
Trial and error method, 试错法+ ?4 Z: N9 `$ B- i, c
Tuning constant, 细调常数
, t w& s' ?7 [5 g; F1 Q4 h7 p1 OTwo sided test, 双向检验
4 j7 Y& [) ]( O" b) d% STwo-stage least squares, 二阶最小平方
! g5 r2 z, x) \% y$ t2 K" [Two-stage sampling, 二阶段抽样. D( `+ o8 s0 Y1 R2 J
Two-tailed test, 双侧检验9 x; o( X& j6 q4 E3 s5 n$ ~5 _
Two-way analysis of variance, 双因素方差分析. m" K$ h; q. g! x9 k$ z2 Z
Two-way table, 双向表
" v/ _7 Z( D9 L1 A1 BType I error, 一类错误/α错误
$ M3 @) `* Y8 J, x4 u: Q# |- MType II error, 二类错误/β错误6 `2 t! R2 \$ `4 _0 y- I
UMVU, 方差一致最小无偏估计简称
. T% h/ e) K: N5 XUnbiased estimate, 无偏估计
/ k9 h j' Z& p# d+ N6 MUnconstrained nonlinear regression , 无约束非线性回归5 }4 p3 }+ Q" b; d
Unequal subclass number, 不等次级组含量
2 Z# ^2 O% ]9 c& W3 bUngrouped data, 不分组资料
6 d0 s: B' O" I$ t& q2 L( {Uniform coordinate, 均匀坐标
$ P/ A5 E7 k! _6 Q9 xUniform distribution, 均匀分布' }/ H: C8 U) q
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计 C! K/ b8 x2 a' h
Unit, 单元5 e/ N0 t5 A$ z6 X
Unordered categories, 无序分类* H7 Y7 W5 O8 D9 ^- ~ y$ E
Upper limit, 上限
1 F' s" j$ `) S. w& z, EUpward rank, 升秩
( V$ y5 n+ ^) bVague concept, 模糊概念
% H" m6 O; r& r% z: X* LValidity, 有效性* P; _9 c n: K* m4 q* Y* i
VARCOMP (Variance component estimation), 方差元素估计
9 q2 F$ Y- u3 ], C! _Variability, 变异性+ E5 G# b [/ Q( U
Variable, 变量( j0 ~2 H9 _' U" g" t* C- L
Variance, 方差
3 A# x: b' E0 C. x2 g6 |1 eVariation, 变异 I5 U9 j+ G9 _! k/ M, J& c
Varimax orthogonal rotation, 方差最大正交旋转
$ Q4 e7 p4 M9 Q$ s6 tVolume of distribution, 容积6 A8 x( p7 H5 g- H: x/ J
W test, W检验& {8 q: g6 ?4 o, m3 v \; m
Weibull distribution, 威布尔分布
/ ^9 i- {$ |) _( S+ h: `& SWeight, 权数8 l" I" ]2 O& T2 S1 q- S
Weighted Chi-square test, 加权卡方检验/Cochran检验
' E) k3 @' b6 c& t; W6 }Weighted linear regression method, 加权直线回归$ |& ^. }: d7 [/ I
Weighted mean, 加权平均数$ m) x: ~* `. P6 N! t+ r
Weighted mean square, 加权平均方差
+ I4 ?6 N$ M6 o9 \, R4 q0 DWeighted sum of square, 加权平方和
& e$ z) X. q3 I U" FWeighting coefficient, 权重系数6 z g5 u* G+ g# J: x' J# p
Weighting method, 加权法
1 _/ I- J" U9 p s% mW-estimation, W估计量
5 p/ t, j$ j+ ?" VW-estimation of location, 位置W估计量
7 s2 |4 W* x$ \$ b7 @& W% XWidth, 宽度
2 j; _& F: y/ K6 W& w& iWilcoxon paired test, 威斯康星配对法/配对符号秩和检验# `9 x4 g( x) e h
Wild point, 野点/狂点
. Y, v2 G5 X/ ]Wild value, 野值/狂值( O# m9 `: o) a1 P- w2 _& ?
Winsorized mean, 缩尾均值+ P. q' ? T# h a
Withdraw, 失访 + y; Y6 Y; W9 |( s3 S
Youden's index, 尤登指数! W* q( w; h) Q A# Q% f
Z test, Z检验
5 H2 F, W8 B2 B0 `+ z" V. aZero correlation, 零相关
! H, I% K4 V/ ~& h. i& @Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
