|
|
Absolute deviation, 绝对离差3 X/ O% _+ O' n
Absolute number, 绝对数. a" W" K3 ?5 @4 ]% v4 p1 k+ r8 Y0 t' p
Absolute residuals, 绝对残差
) j6 L# d' D& x; FAcceleration array, 加速度立体阵1 o$ C$ q6 D; D6 j
Acceleration in an arbitrary direction, 任意方向上的加速度* T/ d* A# d2 M4 Z
Acceleration normal, 法向加速度/ p, [% V% O# \" }
Acceleration space dimension, 加速度空间的维数6 {3 D9 L B/ G
Acceleration tangential, 切向加速度
7 p5 L- y& U; K" H2 qAcceleration vector, 加速度向量2 W, R D" e3 \; D @+ S
Acceptable hypothesis, 可接受假设, ^- Q) f$ r0 m' ]- C0 l. p7 q' Q
Accumulation, 累积
4 i) L8 A, A$ V9 kAccuracy, 准确度
; G) C* z( N9 h( V5 M3 mActual frequency, 实际频数
. R0 M4 Y: E) g: I7 S: j* YAdaptive estimator, 自适应估计量9 E" c) \9 H" Y: U6 [' T
Addition, 相加' A3 f( r. J+ A6 X7 I& S" |
Addition theorem, 加法定理/ U! c( D6 C. y v3 r
Additivity, 可加性
# v% Z, h; u. V N. t1 M) u; ?Adjusted rate, 调整率
" m% I# e/ F( J9 ?1 q% cAdjusted value, 校正值
6 D, |! Y& {5 |8 JAdmissible error, 容许误差
5 v- P% o: a* v# y$ W! YAggregation, 聚集性0 Z3 [1 L% `1 R T- K
Alternative hypothesis, 备择假设% Q% h; m8 o# _! d" L' c
Among groups, 组间
0 A" L& m$ i5 z& FAmounts, 总量+ F- q$ y% b4 `6 l
Analysis of correlation, 相关分析
: F. L6 g: x; g' ZAnalysis of covariance, 协方差分析' f0 C7 n8 \5 P$ p
Analysis of regression, 回归分析2 ?3 V& q+ j/ O+ n) u6 T/ Y
Analysis of time series, 时间序列分析4 F3 {4 k; j* h! D) j* U
Analysis of variance, 方差分析
! g" D* y |* F( c% O KAngular transformation, 角转换
8 E! B' v* d8 Z$ t; e& HANOVA （analysis of variance）, 方差分析
' T5 f n! K9 E" d9 W v- rANOVA Models, 方差分析模型
5 ~; b1 I# |9 Y/ w% FArcing, 弧/弧旋% z6 W; j) C& R+ l) G9 ^# m4 \) g" k
Arcsine transformation, 反正弦变换) z4 f/ m# W3 \4 ]5 I9 X0 Q' }
Area under the curve, 曲线面积 m* _6 L. x$ y( u3 g. g
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 * ]5 T$ s; |1 f- H
ARIMA, 季节和非季节性单变量模型的极大似然估计 + J+ }1 s5 N% T% W6 [, x- H
Arithmetic grid paper, 算术格纸
1 y2 p; _. ]5 S& q3 Z- JArithmetic mean, 算术平均数
6 P! X* ]0 B! V1 L4 K, \Arrhenius relation, 艾恩尼斯关系
: p1 I% F: x+ M3 F$ I7 ^" BAssessing fit, 拟合的评估
' B" D' j5 q" E* _# t3 IAssociative laws, 结合律* Z" j- j; a }* B( c
Asymmetric distribution, 非对称分布* c. F6 j+ l7 w0 q) Y. `. u6 N
Asymptotic bias, 渐近偏倚
- R4 \. a4 T# V" FAsymptotic efficiency, 渐近效率
6 b) M* p2 O: b" F* f6 e# Q7 {Asymptotic variance, 渐近方差
% M' h8 _* w; _2 qAttributable risk, 归因危险度
) \# k2 P: [# ]5 i* KAttribute data, 属性资料( r" S+ k! F& w2 e$ @1 {" }
Attribution, 属性6 E# T/ ]1 I7 T8 G4 x
Autocorrelation, 自相关
7 ^" a% ~. Z G Z/ C- J r; L$ ]4 J9 U9 PAutocorrelation of residuals, 残差的自相关
0 q; q) c' E2 o1 B1 XAverage, 平均数% J3 [7 F! f# @$ x. x/ [3 O
Average confidence interval length, 平均置信区间长度* U" ^/ I; g7 N+ _
Average growth rate, 平均增长率3 n; A9 ~ P# Z) t1 B. J( ]" s
Bar chart, 条形图
6 \/ H7 Q1 H1 x0 o; vBar graph, 条形图
1 E7 ^) F5 x4 eBase period, 基期- F" c5 Y7 Z6 d2 F( G
Bayes' theorem , Bayes定理
4 A6 M/ d- O" U' k. C% S5 Y! mBell-shaped curve, 钟形曲线# `; F5 F/ J5 ]
Bernoulli distribution, 伯努力分布4 L9 Q5 V) X! G; h0 g% A
Best-trim estimator, 最好切尾估计量, b0 }2 b; K8 }$ o
Bias, 偏性2 p* x- o5 V5 \% p" K
Binary logistic regression, 二元逻辑斯蒂回归
3 l$ s/ J# S- J$ j; EBinomial distribution, 二项分布2 G; {9 I# y7 l8 p- ^" `
Bisquare, 双平方4 h: s/ I/ V2 @, I
Bivariate Correlate, 二变量相关
( F2 X, @ y: d+ [& BBivariate normal distribution, 双变量正态分布+ b- {: {4 z: P& @. z1 N) k9 M
Bivariate normal population, 双变量正态总体* {2 N+ \; w, h& y' e4 ?/ o" a
Biweight interval, 双权区间
8 }4 l, D S, \+ HBiweight M-estimator, 双权M估计量
! d* R* J% Y/ {8 F7 W; v' |Block, 区组/配伍组# v/ W/ ~$ v6 a
BMDP(Biomedical computer programs), BMDP统计软件包
/ q9 L0 B K* k, H3 kBoxplots, 箱线图/箱尾图 ?/ {, {3 s& n% N( m
Breakdown bound, 崩溃界/崩溃点
9 V& O3 p' E9 }& ~Canonical correlation, 典型相关8 J+ o3 E/ B/ G0 w0 `$ s& V4 S
Caption, 纵标目
# d9 p+ d3 {, @, I# HCase-control study, 病例对照研究& _9 Y! i0 x" L% F; O% \
Categorical variable, 分类变量- n3 p# h) Q# t6 D M
Catenary, 悬链线
& y6 D9 f* Z+ cCauchy distribution, 柯西分布
4 @4 M, Q% v2 sCause-and-effect relationship, 因果关系( K3 x. N t g( J6 w; N3 F: M
Cell, 单元
6 @, L, B* C9 F) `) ?( d' l5 ?* ECensoring, 终检" M9 E" y- G% f7 R6 g$ u" N0 J
Center of symmetry, 对称中心7 i, \+ O4 h5 f7 w
Centering and scaling, 中心化和定标
0 f T2 E, y. kCentral tendency, 集中趋势$ C! ~/ t7 l$ i- i. T6 W7 q, W3 Q% ^& z; p
Central value, 中心值4 p( j2 `' p; |9 Z
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
; J! |2 K. o/ O# QChance, 机遇% v; ^8 w( @# F# M3 _
Chance error, 随机误差
6 @6 Z( d: f4 `Chance variable, 随机变量! A6 d) u+ B! A& k; P
Characteristic equation, 特征方程" l/ r; Q( Z9 h1 W' h5 S
Characteristic root, 特征根
1 t" a) K' s1 Q7 Z/ t* FCharacteristic vector, 特征向量
3 A \# N2 o9 h6 t6 A7 H @Chebshev criterion of fit, 拟合的切比雪夫准则# @ P0 C: C l9 J7 w/ _4 V6 w
Chernoff faces, 切尔诺夫脸谱图
# d/ t- ~2 y3 M9 qChi-square test, 卡方检验/χ2检验
W& x9 g9 }* N4 uCholeskey decomposition, 乔洛斯基分解( U+ i' n( v: {! W F
Circle chart, 圆图
- W+ j+ W" b, mClass interval, 组距
4 \4 Y+ B" X4 f9 }Class mid-value, 组中值
; e0 q6 x; ?6 T9 s$ \, G% iClass upper limit, 组上限
' I0 f: g# k! ]$ g! w7 RClassified variable, 分类变量& j% [+ s1 |6 }+ u0 `; |6 Y
Cluster analysis, 聚类分析. w! D# x6 U- D+ ]; V
Cluster sampling, 整群抽样- a: E' }- [/ l3 G0 a+ K2 g
Code, 代码
4 q; m8 j+ _ j2 F! f/ jCoded data, 编码数据
, _$ b/ b" N5 `2 j6 \9 ECoding, 编码6 e$ h' N( | i) m* b% M0 B5 Y4 x M
Coefficient of contingency, 列联系数 _3 Q, \0 P, l. j0 R( e
Coefficient of determination, 决定系数8 @5 Y/ c9 Z. Z% d5 U0 i/ L
Coefficient of multiple correlation, 多重相关系数! Z9 w& y4 x4 e
Coefficient of partial correlation, 偏相关系数- G: j' M4 [* ^
Coefficient of production-moment correlation, 积差相关系数# z; o2 _8 E: D0 ]# p( I: H; r V- u8 p
Coefficient of rank correlation, 等级相关系数
9 x& Q4 a' O: Y9 W/ WCoefficient of regression, 回归系数
. p: n! H# w% dCoefficient of skewness, 偏度系数! c- K' H: R" l1 J" f
Coefficient of variation, 变异系数2 T+ a3 i7 ^/ R7 |% x. e$ P
Cohort study, 队列研究
& B8 @* J9 H* b S. tColumn, 列' \" k: H# C+ z I, B
Column effect, 列效应6 Y" o i3 B3 f% ?* V
Column factor, 列因素
9 X8 k# s& l; hCombination pool, 合并
7 v0 [& v( A$ V6 Q* Q+ o1 iCombinative table, 组合表
% i1 `! f! X- x- ` Q# S1 aCommon factor, 共性因子
( a. ~8 V; `, C/ e: j: n3 o/ mCommon regression coefficient, 公共回归系数+ J2 Q# T9 D! N e! A
Common value, 共同值
( G( z5 J: h3 [1 J3 h2 yCommon variance, 公共方差! y: \2 e. k; D6 m
Common variation, 公共变异1 c3 ]5 Q2 J1 y" {- O/ q+ @) {' X
Communality variance, 共性方差
( e: d+ M, ?* z- t5 L' j" q" g1 GComparability, 可比性
; [4 @% u4 l) E% N0 d6 I7 kComparison of bathes, 批比较8 j$ v1 l- u! w9 m
Comparison value, 比较值5 h8 S: U0 m& _+ e
Compartment model, 分部模型
& K) {: H2 i; d, CCompassion, 伸缩! O4 I) A6 f( K: |2 `5 A
Complement of an event, 补事件
B- g! L( l: b# `Complete association, 完全正相关
. z3 K2 [2 K2 ~* uComplete dissociation, 完全不相关/ R; o+ V" V" o$ Q+ ~0 e$ s
Complete statistics, 完备统计量
. Z% m9 u4 O8 TCompletely randomized design, 完全随机化设计
8 `9 H- J' A7 L% _. m# O* {# b. T$ SComposite event, 联合事件
- y& ~2 C/ }/ h" L$ j# ]) ~( HComposite events, 复合事件
) r8 @1 D4 B% V' E$ {0 }Concavity, 凹性
) ~2 P$ w/ ~$ K2 tConditional expectation, 条件期望
9 o( L1 o/ z" y4 H% o) _! [Conditional likelihood, 条件似然
: n; s' L' T: HConditional probability, 条件概率1 \1 `" T1 F2 M# |
Conditionally linear, 依条件线性5 f3 ]9 [* u. E! f$ m# k; W6 m
Confidence interval, 置信区间
. G" s9 S5 S) W' j8 {) f: `' h: ~3 M: SConfidence limit, 置信限9 h" g) |0 r) c. R5 w' {8 K
Confidence lower limit, 置信下限+ J/ y/ ^) {$ @6 b/ E: c
Confidence upper limit, 置信上限
% O! O; g# d5 x) [3 ^5 N) C0 y# O7 YConfirmatory Factor Analysis , 验证性因子分析
9 `6 M5 N- T8 ]; G& Y- PConfirmatory research, 证实性实验研究
, B9 I# ?7 b Z0 a9 {. Q3 F DConfounding factor, 混杂因素( U! r/ r P: Y: z& v2 E
Conjoint, 联合分析& l8 x8 N0 L* R8 M7 e1 G: s
Consistency, 相合性: A/ b! E6 v% j7 C
Consistency check, 一致性检验
$ `" R2 ^) l8 {& B" f, kConsistent asymptotically normal estimate, 相合渐近正态估计
6 v$ E4 ?( {+ F4 |Consistent estimate, 相合估计
2 r% B8 d; O& F' h% l- pConstrained nonlinear regression, 受约束非线性回归6 h) w: j1 F3 |6 F! ?
Constraint, 约束6 ~* I! D7 x) k0 F/ S0 N
Contaminated distribution, 污染分布3 \3 A3 F5 d% O. I/ g$ E
Contaminated Gausssian, 污染高斯分布
" }7 W) J+ g) M" n0 d' KContaminated normal distribution, 污染正态分布5 X5 Z- Q. N2 T, b! ]
Contamination, 污染
. ?. z/ J8 f! xContamination model, 污染模型
" T- E( m" P& }) i. m3 |1 x# R8 zContingency table, 列联表* g# A5 \0 T; d1 i' q
Contour, 边界线1 Y- C7 U! t, b. k" ?
Contribution rate, 贡献率
# G1 {" X7 r9 Y* GControl, 对照
9 n1 i- B% W4 P3 R0 }2 H4 MControlled experiments, 对照实验
# P* y% @2 {0 X6 S8 UConventional depth, 常规深度
& ~; b# O3 B) p5 _! A$ N1 T8 bConvolution, 卷积
; N* X, ]4 @+ i" J8 }Corrected factor, 校正因子+ m' d3 C& p s3 R) G' y6 ~) W9 c
Corrected mean, 校正均值3 t$ D0 A' X, d
Correction coefficient, 校正系数' Y& ^4 E! s: e- M& W% c
Correctness, 正确性 L" s) t9 M" A3 D
Correlation coefficient, 相关系数
2 d) Y" W3 N, J6 e* l1 }+ uCorrelation index, 相关指数
! V! H& o' K/ J9 W0 `1 }* SCorrespondence, 对应
3 O- V" F. L( h& {5 ~Counting, 计数+ L* t' y, m8 j
Counts, 计数/频数$ P1 y: k% ~( S- F
Covariance, 协方差' z- {" T2 s- _1 B$ q4 {4 [& N1 p
Covariant, 共变
1 G' C* ]$ v# |% h' WCox Regression, Cox回归
1 R3 @" P" ~% H i% c2 }Criteria for fitting, 拟合准则
8 ?1 ]3 n; s/ b0 m! TCriteria of least squares, 最小二乘准则8 Z) {# f# V' j& d, j# \4 B
Critical ratio, 临界比
% g: t* Q, a, S! b: ?Critical region, 拒绝域
" ~3 [; d, g3 \# G, d | h1 ICritical value, 临界值. h @9 U: H" j7 Y
Cross-over design, 交叉设计
# [9 \8 `. A4 T( f3 a5 c& zCross-section analysis, 横断面分析: b# o. Z' u5 V0 m- }8 E4 o
Cross-section survey, 横断面调查
/ K% D( i( y* r! w2 n8 fCrosstabs , 交叉表
+ q+ y& c* U+ f& m+ @4 NCross-tabulation table, 复合表
6 {; V k* [- O0 d/ ~Cube root, 立方根3 l1 v q4 Q1 e
Cumulative distribution function, 分布函数: {3 _; g1 }% o# \) D$ _
Cumulative probability, 累计概率
; {8 K& H2 h0 w* ]% |$ v, RCurvature, 曲率/弯曲
; ~, }3 d0 ]% a5 h2 uCurvature, 曲率8 ~/ i+ l! F3 q9 |8 a
Curve fit , 曲线拟和 ( p6 h0 T; E# j1 P0 Q+ s8 p
Curve fitting, 曲线拟合
! F6 N! w9 t$ A2 \+ H N FCurvilinear regression, 曲线回归) i! \; K) h* k6 [1 c) [
Curvilinear relation, 曲线关系
1 y; Y3 i+ s# |/ o+ f( t# GCut-and-try method, 尝试法
+ w+ W3 T7 |0 \* J; T4 B# ~Cycle, 周期
6 p6 F s% f- UCyclist, 周期性
8 x7 O0 J6 P( KD test, D检验
1 E0 `. ] p/ jData acquisition, 资料收集
8 q: r/ j0 [" j* n V) \5 H9 KData bank, 数据库$ W# b3 ^6 r2 \! J: I
Data capacity, 数据容量% U) e/ y% a8 t$ X) d
Data deficiencies, 数据缺乏/ _6 X* S+ [, G
Data handling, 数据处理
+ H' Z/ b: `+ X6 k7 x! cData manipulation, 数据处理# E; Y2 e2 D t
Data processing, 数据处理7 W4 D' A5 W0 C+ z
Data reduction, 数据缩减
/ H ?( | S; N2 s% zData set, 数据集4 M! {( {- ^ C+ `* I8 W& J$ A
Data sources, 数据来源
3 a7 J! O1 N7 P* c% Z) @Data transformation, 数据变换
- o6 B+ L7 u0 b+ c$ {Data validity, 数据有效性! Y/ n& T/ m( I. l
Data-in, 数据输入+ M- ]! g3 G. g- H- u# B0 d
Data-out, 数据输出* s! I" Z) I$ [$ W' S! ^* r
Dead time, 停滞期
$ ^ ]- p r( S' s' T1 I7 k$ z5 DDegree of freedom, 自由度
7 Z- Q# @3 `! F4 v, @& xDegree of precision, 精密度0 P. }, {3 k* n0 t6 b* L
Degree of reliability, 可靠性程度
/ n0 D, D2 N/ W1 B+ o% O$ `$ `: j0 @Degression, 递减% d2 E5 N5 Y+ Z5 E- h
Density function, 密度函数
( z9 f0 ~ E4 v6 F3 x8 V: ODensity of data points, 数据点的密度5 G% V+ `! i0 k( u
Dependent variable, 应变量/依变量/因变量2 ^$ {8 |5 P/ i J, `6 S Y
Dependent variable, 因变量+ A; d$ e6 d4 w3 c& V7 H4 S- s- F8 |
Depth, 深度6 q: r( ?4 @" q2 z
Derivative matrix, 导数矩阵 M7 ?+ ]' Q9 g) k
Derivative-free methods, 无导数方法
$ h8 O& B3 j: Q$ T( {) L4 QDesign, 设计5 d1 y9 v6 H8 B. w! u6 j4 T. q
Determinacy, 确定性, L _5 p& a4 w
Determinant, 行列式 g) M; f( N o; d% E
Determinant, 决定因素
8 b( k" e- _+ D( u* pDeviation, 离差
) O- S' Y6 D4 m; xDeviation from average, 离均差
; l/ f5 F1 G. H' JDiagnostic plot, 诊断图. n7 N: K$ h! [; o8 u+ Y
Dichotomous variable, 二分变量* `! n& Y3 G* u2 X/ F/ Y2 C3 O
Differential equation, 微分方程: Z, Y) g# ?5 ^+ U
Direct standardization, 直接标准化法2 m' z: U- }9 n6 F
Discrete variable, 离散型变量. L: C9 _1 }! T* q. ], ?' Z/ D
DISCRIMINANT, 判断 , h0 x; b6 ~/ \, q
Discriminant analysis, 判别分析
- {* V% }" Y6 Z3 |. v/ [& IDiscriminant coefficient, 判别系数
( z- k" K3 a* KDiscriminant function, 判别值" i+ r+ y% D$ o9 M
Dispersion, 散布/分散度
, M; k$ u) {7 O+ ~, bDisproportional, 不成比例的8 p. W9 {# t( m9 o8 s) n
Disproportionate sub-class numbers, 不成比例次级组含量
6 H* ? `$ ^2 ]* x; }! `Distribution free, 分布无关性/免分布8 f% |# O% i7 l5 ^& l
Distribution shape, 分布形状2 S$ g# w* ]% \0 H
Distribution-free method, 任意分布法
9 v4 K0 B2 Q& y- m1 t+ SDistributive laws, 分配律
- G) X+ h4 |9 Y' ?8 n6 {3 d$ |2 JDisturbance, 随机扰动项& c Y4 H' w$ w, T' Z
Dose response curve, 剂量反应曲线$ B# l: r# r% P' r4 B3 h
Double blind method, 双盲法
4 J9 H' X: l( q& hDouble blind trial, 双盲试验
" |( m4 K6 A6 O8 h/ H# T; Y* q+ jDouble exponential distribution, 双指数分布
/ E7 ?5 g. e: ^3 M# _Double logarithmic, 双对数. \% \/ ]/ d6 y
Downward rank, 降秩
' X( l3 G6 X GDual-space plot, 对偶空间图
9 A- [1 A% \; _ s2 j# W7 J4 jDUD, 无导数方法
) n: n3 g- n4 p/ [$ f* TDuncan's new multiple range method, 新复极差法/Duncan新法 l1 X* x+ @( U5 S6 I
Effect, 实验效应
) C6 f! j5 }& }4 Y* b) QEigenvalue, 特征值
$ ]5 J3 f" I0 z8 C: a3 d& O" gEigenvector, 特征向量 O( \. o# j: S5 h
Ellipse, 椭圆' n, g* b ^3 D& n( F, \! I
Empirical distribution, 经验分布
$ V: T, y) A: j1 nEmpirical probability, 经验概率单位5 i: r, t: _- U7 O2 D
Enumeration data, 计数资料
8 I1 F" U$ L! Q3 v2 e/ F1 @Equal sun-class number, 相等次级组含量) h# v% `! [2 }; d
Equally likely, 等可能! x$ f# u6 F: g% M
Equivariance, 同变性" |4 |8 G4 B: l
Error, 误差/错误
+ s7 O! F8 }) F1 k) v8 z& DError of estimate, 估计误差
/ {. i% k1 p, f. L$ K0 p4 _Error type I, 第一类错误' R, w- o6 [! M* M" f
Error type II, 第二类错误
- ^+ a/ m* k R% b( O& S' o$ t5 jEstimand, 被估量! R4 [) g" g1 h/ H' W9 H
Estimated error mean squares, 估计误差均方* ~+ t. r: j5 c
Estimated error sum of squares, 估计误差平方和: L0 A1 } x/ D# u7 q
Euclidean distance, 欧式距离
2 S; M( z+ ]8 Y7 h' vEvent, 事件0 U) w! k/ {& V5 j+ Y9 z5 A
Event, 事件. A! n' t7 T2 @( B
Exceptional data point, 异常数据点/ E' K. X4 m% E7 Z; S9 J: H+ {
Expectation plane, 期望平面/ K. \- L( `7 }; F! k
Expectation surface, 期望曲面
. B& b% f+ x/ Q# o5 g" ?' }Expected values, 期望值
; ^& r% B( n q. aExperiment, 实验
# T: f# U& S- Z; U: sExperimental sampling, 试验抽样' x* | E6 P& t* Z# }; k
Experimental unit, 试验单位
; X- h$ w) q; P+ b! w* qExplanatory variable, 说明变量, p' y1 B+ U. {' E/ c2 s, s4 b( ~" W
Exploratory data analysis, 探索性数据分析
( E O6 \9 {/ e" S5 XExplore Summarize, 探索-摘要
- F+ K% {* F( U' ZExponential curve, 指数曲线' u7 a4 c' d5 V; U! v/ P# I/ g
Exponential growth, 指数式增长1 V% f6 W" W ~- f- }+ h
EXSMOOTH, 指数平滑方法 * Y8 ~. i6 X! R) h
Extended fit, 扩充拟合
, _! Q4 x( |; p; o) YExtra parameter, 附加参数$ Z1 l6 l0 t2 a! i+ x) p! q- _0 W
Extrapolation, 外推法9 [# w6 C4 f9 Y L9 G' k& l
Extreme observation, 末端观测值
7 n9 j0 {, L+ z- n5 MExtremes, 极端值/极值+ d- J0 z5 q/ H) {8 X0 F* T
F distribution, F分布. o3 I. w+ J" ]4 b6 ~& ?: J
F test, F检验
. U1 n/ M2 y; h! D; y" D, }* c; M4 KFactor, 因素/因子8 Y5 A4 L8 c9 b* u) Y/ B
Factor analysis, 因子分析 J# V+ v _( q: e2 s/ K2 y
Factor Analysis, 因子分析
+ \5 a( l1 ]1 h5 T1 MFactor score, 因子得分
% s4 d1 z- Y( d3 K3 f: ^8 p/ oFactorial, 阶乘
( E0 ]2 N" \9 A+ t9 O$ JFactorial design, 析因试验设计
' @8 A; w. m* r6 B" }- R" z- BFalse negative, 假阴性
/ S% S9 h; P& Z7 l- c7 }False negative error, 假阴性错误% B8 _0 o, X# g$ E, R' _' S
Family of distributions, 分布族) C* T- g+ E) b5 x1 s, o
Family of estimators, 估计量族
5 @6 l9 g7 O3 ~4 w* s: ]7 RFanning, 扇面
$ o9 t8 D( i% e1 @6 {Fatality rate, 病死率
3 I9 E1 S3 ]* oField investigation, 现场调查
8 }% q' u0 J3 b. K3 R+ u: HField survey, 现场调查
) P0 Z& ~* {+ A8 l rFinite population, 有限总体4 `! F* n5 Y5 }" k' ?4 K
Finite-sample, 有限样本, t e1 _; b. _: W/ h
First derivative, 一阶导数
* y6 I7 G: M7 R% G& G' t/ P8 \First principal component, 第一主成分
9 x% [( X z7 O+ r' i8 pFirst quartile, 第一四分位数0 O4 _6 a7 X( e" m; m4 U6 v' M7 Y
Fisher information, 费雪信息量
* V7 G- \* A7 D' q$ i& YFitted value, 拟合值- o; M/ [" g `0 N1 J& `) j
Fitting a curve, 曲线拟合
. L, n5 K$ f. P7 h" F: k0 EFixed base, 定基: C0 C5 [+ e" K' r" R. j- h
Fluctuation, 随机起伏' T& @: s( ` L$ z. O
Forecast, 预测' e" r; q& v; V8 U C# i3 G
Four fold table, 四格表( z2 T( |6 y2 X& c
Fourth, 四分点
$ A7 N/ ?: n' w6 _+ HFraction blow, 左侧比率' V5 G; `5 \. ?2 F+ V" E3 {0 h
Fractional error, 相对误差
6 j- Z: _2 e6 T1 j/ Y G6 zFrequency, 频率) c* x8 e( ]# ?& `& x; X
Frequency polygon, 频数多边图0 M4 h* }/ O. S" d5 |
Frontier point, 界限点/ ^ Z- b+ o" p& L) s' q
Function relationship, 泛函关系 k) ]* o' H( Q$ w, j4 t) e
Gamma distribution, 伽玛分布6 y N* {* S% o6 H
Gauss increment, 高斯增量/ g) Z U$ [, c2 r) N
Gaussian distribution, 高斯分布/正态分布2 R* n0 ]( m- S# l
Gauss-Newton increment, 高斯-牛顿增量
% @5 d; j- w7 _- ^General census, 全面普查" w/ r* U' K) h' X% A! D
GENLOG (Generalized liner models), 广义线性模型 " ]" B' K" F, |& C* o# V1 [
Geometric mean, 几何平均数) _$ ^: }. u0 {- r% I
Gini's mean difference, 基尼均差
3 o$ V6 i2 V4 RGLM (General liner models), 一般线性模型
$ F {* L6 L/ V3 x3 M2 ?9 ^( a0 cGoodness of fit, 拟和优度/配合度 O- w/ e+ p: b
Gradient of determinant, 行列式的梯度5 ?" V6 ], m; j( A
Graeco-Latin square, 希腊拉丁方# G% ]! m% p, }: D7 }1 d5 ^7 j o% t
Grand mean, 总均值( j1 H0 f$ ?3 |" ^" F
Gross errors, 重大错误8 ]0 q9 A3 C [! C/ X' I. c' \
Gross-error sensitivity, 大错敏感度
h) ~) {% a. |7 [9 dGroup averages, 分组平均+ o9 R, c( y# i4 e7 |1 a
Grouped data, 分组资料
; O1 N3 i$ I( D# n: m; M$ @Guessed mean, 假定平均数
9 O' S" w+ m9 M9 O; WHalf-life, 半衰期
2 q. t% Q0 h9 P; B4 h; g6 t, ?8 ?Hampel M-estimators, 汉佩尔M估计量( k, }% {, I# h' c: v, Y9 [+ |
Happenstance, 偶然事件
r9 X: X$ q3 p3 q& e$ EHarmonic mean, 调和均数& _/ c* D5 E& a0 g* u
Hazard function, 风险均数
' t! H) q, {7 ]8 N0 DHazard rate, 风险率
' U" ]% W$ g. A# K0 l0 dHeading, 标目
. U8 g% h/ d# }4 A! Y$ |& wHeavy-tailed distribution, 重尾分布
# [3 z4 h- V$ j7 _+ RHessian array, 海森立体阵
]6 J9 S: d" e% y$ y% Z1 }( ]Heterogeneity, 不同质8 w. \" G. A4 h4 |
Heterogeneity of variance, 方差不齐 " Z, \$ ^. d% L0 _# N( ^6 G
Hierarchical classification, 组内分组
, Z, Z7 {# W& Q% j. s' C7 RHierarchical clustering method, 系统聚类法
: ~ v# P- F8 @1 {4 sHigh-leverage point, 高杠杆率点8 ^& Z& ]# z' R% E
HILOGLINEAR, 多维列联表的层次对数线性模型" c' ~+ u/ W Q' }' t8 f% F
Hinge, 折叶点
! {* M) z) H! c# \Histogram, 直方图% J( ^5 p9 I. ^1 q/ l! L3 @
Historical cohort study, 历史性队列研究 2 y- ~7 o# W1 U9 ~; o' {
Holes, 空洞 k8 b9 C* O5 J+ ~" P( w6 z
HOMALS, 多重响应分析) \ K: g2 v! r$ I5 `' c
Homogeneity of variance, 方差齐性
6 n; v7 a. U1 E6 `( LHomogeneity test, 齐性检验
1 \7 j# @0 p U/ Y, RHuber M-estimators, 休伯M估计量* A) i; |# N1 ?4 C( |" f6 d/ [: m
Hyperbola, 双曲线
n5 R0 n- }' c6 S- WHypothesis testing, 假设检验9 j+ d0 T9 x' k
Hypothetical universe, 假设总体% ]' `5 l9 c: e+ w$ z; N! W6 D w' S& i
Impossible event, 不可能事件$ `) [( J3 P) L! ^
Independence, 独立性# p( P; N0 K% p3 z- [0 t' t
Independent variable, 自变量# C4 |8 g* z: `! y
Index, 指标/指数5 F2 [" _, d' x, I9 P" f) x5 T
Indirect standardization, 间接标准化法
; X8 w4 Z2 I9 M9 C5 u4 n% eIndividual, 个体
4 |- f2 @, _ T3 k2 b3 z- b- N$ dInference band, 推断带5 S% v' n- w/ K, [
Infinite population, 无限总体
+ t* L, L k+ p* d- E. UInfinitely great, 无穷大+ a: N6 Z/ u4 U7 U
Infinitely small, 无穷小
: z8 f6 d" t$ Q0 m! C0 vInfluence curve, 影响曲线 X: ^! h& @2 o6 Q! `! k
Information capacity, 信息容量, _9 f4 Q$ L( w
Initial condition, 初始条件) T) w8 }: M ]$ P: b
Initial estimate, 初始估计值) k1 R% G, |. o9 N2 \4 Z( R, H
Initial level, 最初水平* l" T$ D, @1 a1 [ {1 T: }
Interaction, 交互作用- }( U! P W0 o$ j+ S [0 m
Interaction terms, 交互作用项
" ~, l {0 T* a* j: t8 l' ZIntercept, 截距1 R) q& u* s6 E% m
Interpolation, 内插法
4 O2 z2 X0 [# [; OInterquartile range, 四分位距; F) n1 W8 m o
Interval estimation, 区间估计0 R# y3 S5 X# Q
Intervals of equal probability, 等概率区间 q/ t: E6 x: M0 {- a
Intrinsic curvature, 固有曲率
+ o5 K6 h' A" V# d3 u9 L4 d0 B$ k: LInvariance, 不变性
3 B* y+ ^ S |+ H2 @/ I4 F: SInverse matrix, 逆矩阵1 `3 {% n, I0 w/ I1 r% M
Inverse probability, 逆概率
1 r2 t$ \8 l5 eInverse sine transformation, 反正弦变换1 d% e9 |' G9 V" D/ u2 J
Iteration, 迭代 / j* X1 G7 V! L8 \+ y6 s0 R
Jacobian determinant, 雅可比行列式
; E) g3 e+ L9 p pJoint distribution function, 分布函数
/ S% k& _3 |4 \* E2 TJoint probability, 联合概率
2 G- i9 N, e+ i r) mJoint probability distribution, 联合概率分布% h, o$ Y3 f5 y i$ [: ]" C" t
K means method, 逐步聚类法
- W3 `- Q! K5 V+ i6 JKaplan-Meier, 评估事件的时间长度
2 T1 _' ]; W p! n5 l* t1 `7 }. CKaplan-Merier chart, Kaplan-Merier图
8 i9 u6 n) P) p3 t! F: x0 _) TKendall's rank correlation, Kendall等级相关
: {5 Y" g' H3 l( i6 zKinetic, 动力学6 {( I* v) J6 K7 K' h) C! ~
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验5 C2 S2 V3 u; ~, E8 v, c8 W4 v
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验& X) T$ Y6 x- G& W# x7 M* U
Kurtosis, 峰度' E7 X x6 t( S; s8 C
Lack of fit, 失拟& d8 e: U. Q9 z5 z
Ladder of powers, 幂阶梯
; Q, t9 F$ o0 A R7 NLag, 滞后
l( G m0 e7 w# U5 i" ^Large sample, 大样本
4 K* U- L8 G* C8 mLarge sample test, 大样本检验
, R% F8 D/ z6 O& x% ^. ?7 A+ a% \Latin square, 拉丁方
0 v# T& @2 t; p8 s1 ELatin square design, 拉丁方设计9 a0 L) M( H9 W# _
Leakage, 泄漏4 l) a2 i. l$ p/ [+ A
Least favorable configuration, 最不利构形
- @; T& e2 X" l* HLeast favorable distribution, 最不利分布
8 ^% q+ f, Y# _! sLeast significant difference, 最小显著差法# w1 l" W- F) e' z: v
Least square method, 最小二乘法
& f2 F# o: t7 e6 E' C1 J+ Q9 Q; ]* WLeast-absolute-residuals estimates, 最小绝对残差估计
# M; [ ]$ F7 b } g7 FLeast-absolute-residuals fit, 最小绝对残差拟合+ ?6 I6 h* |: S; o
Least-absolute-residuals line, 最小绝对残差线1 ^) n3 d1 K' y
Legend, 图例8 C/ ^( v! V6 ]2 p* ]
L-estimator, L估计量* }2 k; V/ E; ?- @& Y' o4 Z
L-estimator of location, 位置L估计量
1 f, Q: B+ E8 F. Y: @L-estimator of scale, 尺度L估计量3 L4 d7 s1 f: m6 M
Level, 水平
9 A r5 M6 |: O3 |1 ZLife expectance, 预期期望寿命
|$ x: U( f t$ ?Life table, 寿命表
) u- m4 ^ F. e; L2 ALife table method, 生命表法
+ E/ r2 |1 J1 J2 v+ p7 b' ]Light-tailed distribution, 轻尾分布
+ }' ]( b: v3 K; T7 r) O9 M) |Likelihood function, 似然函数
7 L1 d* l- `; C) D/ YLikelihood ratio, 似然比
_1 e# @" _- b; F% Nline graph, 线图* `5 P- \% D" O0 E# M% s; D& M- j
Linear correlation, 直线相关
, y; n& |% `% J7 Q% ~7 @Linear equation, 线性方程9 ~% r0 ^* z( w) B- m
Linear programming, 线性规划. ^6 K4 h* x0 J
Linear regression, 直线回归
% I8 Q$ i) z( f( H+ u# VLinear Regression, 线性回归
4 U T$ l: S' VLinear trend, 线性趋势
# w7 {' P' r- }7 DLoading, 载荷 7 E, L0 }( x K! w' Z. [
Location and scale equivariance, 位置尺度同变性
2 {$ A/ d1 g5 h/ NLocation equivariance, 位置同变性1 @! \/ i0 C6 i' g: _8 o( ?
Location invariance, 位置不变性
/ J! P+ {- a3 I1 r! D$ o! H6 KLocation scale family, 位置尺度族
9 f% \$ ^0 k, M/ b" @4 {Log rank test, 时序检验 ! Q0 q8 f4 ^, I. m' y2 A5 F
Logarithmic curve, 对数曲线& L# J; Q. Q3 E3 M: U& v7 f3 `
Logarithmic normal distribution, 对数正态分布
, M1 Q+ ~1 e! `7 v) h/ nLogarithmic scale, 对数尺度
' x+ g6 y( [9 b( f; bLogarithmic transformation, 对数变换
O* H' p W/ p1 ?4 w: PLogic check, 逻辑检查5 i b; F. U. e3 i0 }" ]. D# ~
Logistic distribution, 逻辑斯特分布
# |& O7 F: @ M I6 [: \Logit transformation, Logit转换
% k; k4 f; n: z6 N7 A2 SLOGLINEAR, 多维列联表通用模型
& ~: M( @( T" p" J5 F/ XLognormal distribution, 对数正态分布) {0 B& Y, b' ?
Lost function, 损失函数8 Z* P7 \/ z. e8 N& G0 H' G
Low correlation, 低度相关+ n" ~2 G& j4 a
Lower limit, 下限5 k+ W/ y R X }" k
Lowest-attained variance, 最小可达方差
; ^: Q+ j& _" T) ?; n# eLSD, 最小显著差法的简称
6 [5 \; p6 |/ I* ?! ?$ g |# s( VLurking variable, 潜在变量
# y. |0 o1 }+ n4 ~3 C7 ]9 eMain effect, 主效应6 D1 ]- e; v8 ~0 b" {7 M
Major heading, 主辞标目. P) Q% R* v: s, u0 e" M* \ @
Marginal density function, 边缘密度函数
t: f5 n$ v6 i9 i6 J8 v) m* j# |Marginal probability, 边缘概率
$ t- _1 E2 m. i) r' U; Q" ^" _- l) @Marginal probability distribution, 边缘概率分布
. j' F+ d; v/ Y/ _& ]Matched data, 配对资料, V# y. g6 u, F
Matched distribution, 匹配过分布
+ I" ~8 U1 v: L4 `% z9 GMatching of distribution, 分布的匹配
0 d5 D+ ?* ~ q [0 pMatching of transformation, 变换的匹配
: v P) r$ Y2 ~# d U2 c- pMathematical expectation, 数学期望* Y B$ M+ o* y$ w& U
Mathematical model, 数学模型
: B( S/ T: k% \9 p l+ QMaximum L-estimator, 极大极小L 估计量
2 P. B1 C( L% b1 T& h8 HMaximum likelihood method, 最大似然法
9 w/ e; s, q9 D3 F' E8 k- J! p ^Mean, 均数: \/ y9 F+ f% S9 q9 z3 T' i3 \+ @* u' W- d
Mean squares between groups, 组间均方& h4 x0 Q% F# x/ }/ v$ N8 @! d
Mean squares within group, 组内均方) B5 p' e3 `- a9 U
Means (Compare means), 均值-均值比较% S2 W K; Q$ a1 T; o# y0 ^
Median, 中位数3 f( T9 o. d) D) c
Median effective dose, 半数效量
! |9 v+ S( U) P! ^! F5 k( P) h3 lMedian lethal dose, 半数致死量( h& W! o% u% g" p
Median polish, 中位数平滑& ~! r- o% {4 u) O. K
Median test, 中位数检验
, a" i! [. Y- {* ?3 k5 EMinimal sufficient statistic, 最小充分统计量
U* Z6 a) o% h, j% p3 Z9 ]+ _- IMinimum distance estimation, 最小距离估计
# _# [7 x+ |- u9 y0 L- j0 bMinimum effective dose, 最小有效量; h' u3 t7 y8 A& A: p
Minimum lethal dose, 最小致死量
( D$ ~5 [3 ` Q* JMinimum variance estimator, 最小方差估计量& Y, g( ~1 [# a6 ?) i% y
MINITAB, 统计软件包 s$ u4 d3 I4 s, A
Minor heading, 宾词标目
$ q* D' V! y; K, g/ M( UMissing data, 缺失值$ X% s& n- e9 g- U. u) J: P
Model specification, 模型的确定, G' C6 o$ M4 Y* q4 X
Modeling Statistics , 模型统计
* O6 ^3 M- y4 g9 oModels for outliers, 离群值模型; ?5 z. ?3 l9 X" u6 }1 o6 d4 {
Modifying the model, 模型的修正4 H% E4 b! {) |2 n9 \8 o# k4 `/ `
Modulus of continuity, 连续性模) `- r# y; w( h7 E/ n! B% C
Morbidity, 发病率 0 s( j, i6 u- o' P
Most favorable configuration, 最有利构形# m4 @3 P V9 q: W- A- f3 o. H5 `
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
& b$ U: p: @% v% p0 \Multinomial Logistic Regression , 多项逻辑斯蒂回归6 D, a5 |. `5 Z
Multiple comparison, 多重比较
; ^' a8 ]" z0 _% v J, r3 o5 _Multiple correlation , 复相关
, P5 W, G* L' [2 t7 \. LMultiple covariance, 多元协方差
2 I* p3 y' I0 K; s% z2 nMultiple linear regression, 多元线性回归
! v! M- K$ @- ~/ [* B, U6 EMultiple response , 多重选项) m: N/ \) O6 f. y2 @
Multiple solutions, 多解: F3 I1 S2 |; e) v+ l9 V d
Multiplication theorem, 乘法定理
6 X4 J( K1 B5 G1 P5 XMultiresponse, 多元响应
% l6 O$ o, F# L1 L Y0 ~9 ]Multi-stage sampling, 多阶段抽样
* \5 Y) k( I& e/ N4 DMultivariate T distribution, 多元T分布' @& Q' X4 v$ a* X$ c
Mutual exclusive, 互不相容% d w2 E& ?1 z) k" ~0 C
Mutual independence, 互相独立2 W3 ?# ~3 P( _* M5 l7 \1 ?
Natural boundary, 自然边界2 J1 I% x- b" U4 O9 R
Natural dead, 自然死亡
9 ^0 F3 m- l" U1 v1 ~, C% M6 KNatural zero, 自然零
) y; n; k- e' Z# _Negative correlation, 负相关
2 W2 z/ ]) P U; |# g8 I0 sNegative linear correlation, 负线性相关$ {) A( u7 w8 _& Y; S; a
Negatively skewed, 负偏5 w( X, _# y5 q
Newman-Keuls method, q检验3 a% i( D7 j, [# G; R9 r1 V% u
NK method, q检验) _ z0 D9 \ ]* V6 }
No statistical significance, 无统计意义
: p- a5 ~& B8 a% T+ a& {: ^3 WNominal variable, 名义变量
! N2 E. O: ?/ G: K SNonconstancy of variability, 变异的非定常性
2 @% T4 Q' \, X2 i4 |8 bNonlinear regression, 非线性相关 p+ t- f3 ~. ^4 D
Nonparametric statistics, 非参数统计+ N7 l' i% d+ h' w* ^
Nonparametric test, 非参数检验
, z8 \) j* l# U6 W$ MNonparametric tests, 非参数检验
# x( |/ B1 }2 D# W& c8 kNormal deviate, 正态离差& i- R/ y* ?# o: ~0 F1 h
Normal distribution, 正态分布
! n8 i5 R; e+ ~% d1 C! j& tNormal equation, 正规方程组- v4 ?8 c9 b2 m
Normal ranges, 正常范围' W, T% v$ \# C, |& R. |$ W+ w
Normal value, 正常值
4 a# _; K& A0 T: m& ?Nuisance parameter, 多余参数/讨厌参数: _7 }9 B" [2 Z5 _( `' j
Null hypothesis, 无效假设 7 k. N0 R# N; Q$ |0 x! k
Numerical variable, 数值变量! [0 I+ g- B( O& h; V7 [
Objective function, 目标函数
* ^9 z# R9 h9 D. I' ~* ZObservation unit, 观察单位
) b/ k& ^( `: q! RObserved value, 观察值! @- ]0 z' C4 \+ [
One sided test, 单侧检验
2 Q. E, u& C) k# qOne-way analysis of variance, 单因素方差分析
* h; g9 c" }1 n/ B4 Q/ I! {Oneway ANOVA , 单因素方差分析
% q# N& E2 R# }0 W4 `Open sequential trial, 开放型序贯设计
8 C; q" X2 N/ U. \Optrim, 优切尾* k0 _+ F r4 I: `( p
Optrim efficiency, 优切尾效率
4 ^8 D3 x# D( r6 j- {- uOrder statistics, 顺序统计量
8 U( H) J+ ^2 m' y* [* D5 KOrdered categories, 有序分类+ i0 s. V8 j: d2 l
Ordinal logistic regression , 序数逻辑斯蒂回归
% m g& v4 b( P' N M: J* P* tOrdinal variable, 有序变量+ {0 b7 `+ a8 L U
Orthogonal basis, 正交基% ?! S( L( }6 E0 q3 s
Orthogonal design, 正交试验设计) j! u: g, X8 w" i1 T2 C
Orthogonality conditions, 正交条件1 A" m. M) v! ^# z9 E6 l: E
ORTHOPLAN, 正交设计 ( t' o4 f% Z% A4 c( l) Y% b
Outlier cutoffs, 离群值截断点
+ {# b, J6 j N) QOutliers, 极端值9 [* Q7 J) [' C
OVERALS , 多组变量的非线性正规相关 / x. p+ \4 U0 _8 q
Overshoot, 迭代过度- U5 C ^( q+ D
Paired design, 配对设计6 m6 v( E7 x& X; k# @
Paired sample, 配对样本
& R: N1 c8 i A# _1 [ }Pairwise slopes, 成对斜率1 f8 w# ~3 q" `9 j4 S% A
Parabola, 抛物线" j9 U% n$ i; X) ]- l5 B
Parallel tests, 平行试验
# z# [5 X( P2 v4 ~ tParameter, 参数
, d" e# ^" G( xParametric statistics, 参数统计2 G: L% d, Z; e8 O
Parametric test, 参数检验0 F- g* D$ @" |; X3 u
Partial correlation, 偏相关+ z8 k; f. R5 n- Y/ p
Partial regression, 偏回归
7 X: s2 O( `6 z2 RPartial sorting, 偏排序
4 c' l! l- x, ?; a7 c4 j" o: [/ OPartials residuals, 偏残差6 H. l3 G# B4 n, x
Pattern, 模式
! c" O: u* W" G2 V1 m5 y# iPearson curves, 皮尔逊曲线
3 N* H2 G @% B) HPeeling, 退层3 @1 U& I* k' w3 o
Percent bar graph, 百分条形图5 s7 C4 I8 c5 g6 B$ Q# o5 U
Percentage, 百分比: v5 a7 g' Z( [1 Q
Percentile, 百分位数, x. L! r* j0 s- I
Percentile curves, 百分位曲线" k4 _: t+ q. H) M# k; b% R
Periodicity, 周期性
% r# a0 N* T$ r7 _Permutation, 排列% T1 f" _) U+ X8 P& M
P-estimator, P估计量
: Z6 A+ \& s+ u3 A1 x; w' e5 kPie graph, 饼图
* w4 Q/ @8 w$ w2 o, v( X3 wPitman estimator, 皮特曼估计量/ S4 l0 L' j) |! a! e" |
Pivot, 枢轴量
) K- y6 U/ O& U1 @Planar, 平坦4 x+ X5 H; C8 t8 F) t. e+ {
Planar assumption, 平面的假设! }3 s# P- ^- g6 i/ q
PLANCARDS, 生成试验的计划卡
" B g8 x, I, DPoint estimation, 点估计+ x: H6 X% s. x- }! z( v
Poisson distribution, 泊松分布% A; y3 k/ b( c4 q1 y( a+ M
Polishing, 平滑, k' P, X% v- w- B" Q: C
Polled standard deviation, 合并标准差& [/ J2 o0 e. e5 i
Polled variance, 合并方差
! X2 \! X! v! C+ A8 GPolygon, 多边图
% @$ l1 ~4 k( @" @4 p5 O# ?Polynomial, 多项式& @1 ~2 _8 s2 H
Polynomial curve, 多项式曲线
7 t3 a2 q( P, g4 b% c2 ~5 ]/ EPopulation, 总体
2 @) j6 h2 T0 B3 lPopulation attributable risk, 人群归因危险度
% _. L/ {6 C. F6 lPositive correlation, 正相关- n8 K5 S* r8 k' P' V' Z
Positively skewed, 正偏
' {6 u# i% ~5 H) V' }9 [9 ~/ \Posterior distribution, 后验分布. B3 ^ P9 Q: ]
Power of a test, 检验效能
- h2 G, ^1 r5 ], D$ q& tPrecision, 精密度
/ [8 x6 y) L7 s+ a1 p( V& B' WPredicted value, 预测值0 u1 [) T9 s( t: }" m- Q, r9 w
Preliminary analysis, 预备性分析
$ r- C6 T* |* A- ^% SPrincipal component analysis, 主成分分析
( l) D: ?% `- d M' W3 B4 O U; ePrior distribution, 先验分布5 O) B ^$ [0 B0 E3 B2 l) w
Prior probability, 先验概率
' u+ p; V% H5 F" FProbabilistic model, 概率模型
( Z: t$ v6 n+ G+ rprobability, 概率/ V! F4 y2 s# ^3 r* G8 P
Probability density, 概率密度) T4 e" @9 j1 E
Product moment, 乘积矩/协方差: d! I( a! X. ~* }" T/ _
Profile trace, 截面迹图
% ^0 {2 I+ Y0 ?5 ]Proportion, 比/构成比
- i3 n- a; Z8 ^! V+ z+ d1 LProportion allocation in stratified random sampling, 按比例分层随机抽样3 h9 b. O% _/ E
Proportionate, 成比例+ O0 k$ i- t( x. C
Proportionate sub-class numbers, 成比例次级组含量
( n+ {! R2 H& q) J6 d5 G# aProspective study, 前瞻性调查
0 g2 D" R" w* Y% vProximities, 亲近性 6 a' r3 H; X7 F- s
Pseudo F test, 近似F检验4 n( Y) Q; h1 P: N. a
Pseudo model, 近似模型
4 S( k6 Z6 g% e5 ^Pseudosigma, 伪标准差
m3 v. H; h+ i8 ?Purposive sampling, 有目的抽样
: W4 q7 h, E+ T! v% {2 E+ j3 BQR decomposition, QR分解
: U0 f# t/ {0 ~' x; qQuadratic approximation, 二次近似( V. e T/ T7 a* n9 d
Qualitative classification, 属性分类, h. d" M1 ]4 o& w& ]8 M
Qualitative method, 定性方法! Q, l* K& l: e) ]8 V- D# H8 @7 U
Quantile-quantile plot, 分位数-分位数图/Q-Q图
* p+ l6 ?! D) Y" b+ @$ \Quantitative analysis, 定量分析
* O8 F2 E" A8 BQuartile, 四分位数
7 L2 B5 V; S- [! CQuick Cluster, 快速聚类# \4 }( [% S* q* p4 B
Radix sort, 基数排序
9 t& @& ?/ ~" b! ~2 a/ ~3 HRandom allocation, 随机化分组- i/ r$ d; q2 j) C+ g$ k7 N
Random blocks design, 随机区组设计
* i2 U1 y& ~3 I; u1 v6 r9 t/ \Random event, 随机事件; d) L0 K7 b) Y4 {, ]
Randomization, 随机化, d+ G: G2 ?4 {8 l
Range, 极差/全距7 R& o7 l% _* W! ?+ Q
Rank correlation, 等级相关" x% m% r4 U; O6 Q! w/ c
Rank sum test, 秩和检验* o: P9 P% ?* d' ~+ q8 A0 @
Rank test, 秩检验: R; N. E3 k" Z3 `/ t
Ranked data, 等级资料 W2 R/ l, h4 E; C3 q; |2 J
Rate, 比率
I4 `& t' O O N& yRatio, 比例
4 ]3 a; @3 x: b. U+ URaw data, 原始资料7 J# }8 t8 Y5 o0 b
Raw residual, 原始残差5 p* T3 z! z6 d) e+ w. H
Rayleigh's test, 雷氏检验9 }+ f; }$ {, p1 ~; ]$ V. G9 f
Rayleigh's Z, 雷氏Z值
+ a5 B: }% }* a+ M8 a9 a5 P! CReciprocal, 倒数9 `! U [9 r& _2 H: ^: O" y/ f9 ^8 C
Reciprocal transformation, 倒数变换" a: H- A- i* B: K2 c6 v5 e
Recording, 记录
* l4 Y. O1 }5 I! xRedescending estimators, 回降估计量
/ z( O" j. Q4 L) xReducing dimensions, 降维/ c% Y4 d, [) e0 \+ G: Z
Re-expression, 重新表达
, K# ~+ i/ k1 d: C. a; A5 X3 oReference set, 标准组
8 `# f! e3 u0 N6 o$ c. p* \Region of acceptance, 接受域
" o# `! d2 [- k0 `/ mRegression coefficient, 回归系数
, d0 I; E$ m* K- J3 w6 Z. V& DRegression sum of square, 回归平方和& T& Z W2 r1 q9 y
Rejection point, 拒绝点
O8 u, q* y% e+ D/ MRelative dispersion, 相对离散度
% X$ E3 h! G! h/ S% KRelative number, 相对数
5 F& M. h, k% WReliability, 可靠性
& H0 Y% S4 P8 w4 U% l0 g4 [Reparametrization, 重新设置参数& O/ e4 G! P8 ]; l
Replication, 重复
. d- M; q9 F2 \, [* \* P" dReport Summaries, 报告摘要
# O$ G5 f# F3 ^% u7 iResidual sum of square, 剩余平方和
' ^9 M1 R; k6 {8 XResistance, 耐抗性( z" k* p" r# z$ y% T5 o+ Y
Resistant line, 耐抗线
" G# j0 c. ]/ l0 Z$ I! LResistant technique, 耐抗技术 V6 j9 u& }+ m2 J4 D. G/ a
R-estimator of location, 位置R估计量: z9 }0 }4 Z; X% d7 g6 u7 t
R-estimator of scale, 尺度R估计量
! Q/ j7 Q/ b1 o0 x% p! ERetrospective study, 回顾性调查+ s! M( G2 |! s! h( }8 N& h
Ridge trace, 岭迹- K$ z' R# y9 n
Ridit analysis, Ridit分析, ?/ A' W9 Y3 I2 {0 S) m3 w4 r
Rotation, 旋转
2 C5 `0 N7 g* w& w- ?Rounding, 舍入! n0 q3 R5 z/ [9 x% y# ]9 [' L3 a
Row, 行% U9 A! P% {/ [! F4 y; T' s. z# k* T
Row effects, 行效应
[) a# H7 b9 Z/ e6 [5 nRow factor, 行因素7 @. I& r( t q* t- P$ z/ q
RXC table, RXC表
5 h9 Q1 Y- H5 N/ T2 ^6 G) J; ?8 sSample, 样本0 {, U9 M3 R* g8 i w4 W
Sample regression coefficient, 样本回归系数1 O+ z Z+ s; f8 r0 g4 z
Sample size, 样本量# F c% @# a$ V+ Y2 J2 |
Sample standard deviation, 样本标准差) t4 @; A q" _6 D9 l
Sampling error, 抽样误差
) T* K5 W+ l* |" w$ YSAS(Statistical analysis system ), SAS统计软件包" x) w8 d+ n/ @* R( o: ^- p, d
Scale, 尺度/量表" \2 ?: s0 |. ], O# }5 |6 m
Scatter diagram, 散点图
& U1 L9 w; K/ @& l( h* U- x, iSchematic plot, 示意图/简图
/ x% R/ P# A9 u0 F2 i' v0 n hScore test, 计分检验
- P0 U0 F' n9 E: |) t$ ~Screening, 筛检+ \! u. h0 K) k( O8 w7 I
SEASON, 季节分析 $ v2 a D- c9 @
Second derivative, 二阶导数3 d. M6 D4 q: `
Second principal component, 第二主成分0 T* O( w, g0 C6 m- [
SEM (Structural equation modeling), 结构化方程模型 6 h% I Z2 ^& J1 y5 j8 v! W$ @
Semi-logarithmic graph, 半对数图$ l! V. g# A: J0 K+ W8 d
Semi-logarithmic paper, 半对数格纸7 o. L1 c* u; k( G" R/ k7 p! b7 ~
Sensitivity curve, 敏感度曲线
* i( M9 Z* h: k3 [. P( `- sSequential analysis, 贯序分析: L% t2 ^2 Y% k) m6 L7 y& ]
Sequential data set, 顺序数据集$ f8 Q' Q6 Z% J. u
Sequential design, 贯序设计
( ?6 G8 G; ]% n# g0 rSequential method, 贯序法6 j f7 m/ |, E: ^9 d8 y; E
Sequential test, 贯序检验法
0 \0 _3 b% G' ESerial tests, 系列试验
% D4 s3 X$ B; R3 s! Q$ t/ EShort-cut method, 简捷法
' s1 V8 K. ]+ X+ w& I1 d' T) vSigmoid curve, S形曲线8 m5 F+ g2 y7 h% X5 O9 o( K5 Y
Sign function, 正负号函数
$ k) I0 U3 I- D2 ]# O" F7 D! ESign test, 符号检验
- G# _/ p& |+ e% A* Q; n8 ]; JSigned rank, 符号秩; z/ e! e; e# {
Significance test, 显著性检验
2 k& `+ Q+ e( c, k& b/ YSignificant figure, 有效数字, _( P7 f1 |- ?9 U4 z8 G1 _/ x% {
Simple cluster sampling, 简单整群抽样
/ V2 j- e4 e( [! {- P' h$ }Simple correlation, 简单相关
1 [6 A! m- D0 Y; LSimple random sampling, 简单随机抽样4 a5 \. E X: h X* m
Simple regression, 简单回归
) @. D# D! j8 l. R3 q J( Fsimple table, 简单表
% z! }. a3 T; q8 g+ _) ?# \ lSine estimator, 正弦估计量
5 G, z6 }6 X' N$ n ]( s( USingle-valued estimate, 单值估计
0 y/ W- ~6 U8 P4 S6 V8 l {Singular matrix, 奇异矩阵+ l# l2 s4 s1 l5 N
Skewed distribution, 偏斜分布) b$ E$ `' T' C
Skewness, 偏度, n1 R9 Y" e7 D b% }
Slash distribution, 斜线分布
) L- j- r& p) o2 fSlope, 斜率$ t4 _" {$ g; _
Smirnov test, 斯米尔诺夫检验
2 |* A( ~8 I, q, uSource of variation, 变异来源
5 x5 d) ~1 v* ]/ dSpearman rank correlation, 斯皮尔曼等级相关# y9 B& Y& b* Z3 }/ X
Specific factor, 特殊因子
: p5 Q; [5 R3 b! _( Z: @8 qSpecific factor variance, 特殊因子方差7 w! _2 I8 J+ h! a; ?& e
Spectra , 频谱
; B0 N# I7 S' i4 M& A3 R7 A& |Spherical distribution, 球型正态分布# R- d& f* i" {
Spread, 展布
& f9 g! R5 o. g* uSPSS(Statistical package for the social science), SPSS统计软件包
1 D' S' S( F7 pSpurious correlation, 假性相关
/ l/ [" h+ e2 b% x3 K3 XSquare root transformation, 平方根变换
% a! A7 l7 ~# X% Z. ~( aStabilizing variance, 稳定方差
8 |! N" {5 y7 {# HStandard deviation, 标准差: g" V) K8 l6 _
Standard error, 标准误
5 y- c- b# x; u( Q' _Standard error of difference, 差别的标准误
' s9 z- W+ A1 rStandard error of estimate, 标准估计误差% A' {6 x- R8 ]+ g
Standard error of rate, 率的标准误4 e% ]5 [5 G- |
Standard normal distribution, 标准正态分布
- E- ?$ l1 X& g# A+ bStandardization, 标准化
( u: l& |& i$ v" }% |7 m/ D; P# ~Starting value, 起始值
+ i$ e" A* Q% ^& }$ @9 vStatistic, 统计量
2 s+ {7 @" w( s5 x0 ]' J. C9 }4 vStatistical control, 统计控制2 k5 k! |, I: C6 ?
Statistical graph, 统计图
" B6 i- m3 t- Q) @Statistical inference, 统计推断
$ ?. x* p5 u+ M3 hStatistical table, 统计表1 a( T* P0 p" c- C5 B# j1 u4 ]8 f" \
Steepest descent, 最速下降法1 h! x( E/ I& F1 z7 }, {9 X2 {
Stem and leaf display, 茎叶图
4 U4 A5 @# ^ w* p$ r7 t/ n/ K$ ZStep factor, 步长因子! J$ Y" g- }$ Q
Stepwise regression, 逐步回归6 H+ ]5 j1 B4 v. \
Storage, 存" Q, h5 `- ~& g( V7 L( Z) {
Strata, 层（复数）3 u5 W9 {2 x e4 T5 P
Stratified sampling, 分层抽样
4 ]: {/ ^2 V, k( \! c7 s0 B$ U5 ZStratified sampling, 分层抽样
' a5 g1 Y; a# x0 _# q2 \# R6 ^+ iStrength, 强度
. x0 u4 w. m* H$ nStringency, 严密性
# S1 B+ _) z; _, h( UStructural relationship, 结构关系# d3 {7 S4 q3 \ A
Studentized residual, 学生化残差/t化残差
' H7 P$ d& K$ F% Z8 ]' U7 qSub-class numbers, 次级组含量) s \5 z) p7 o% Z
Subdividing, 分割
& S/ A3 F( I' z6 w4 b4 C/ K$ XSufficient statistic, 充分统计量
$ i' X, V/ ]4 n( |% lSum of products, 积和" ]- ?. D; S! a4 U4 u& D- }2 ?+ D
Sum of squares, 离差平方和+ ?! k+ x- x" w5 p5 i$ f% }
Sum of squares about regression, 回归平方和3 b1 x! A6 q: ~1 S. q
Sum of squares between groups, 组间平方和* F+ p! L6 ?+ l
Sum of squares of partial regression, 偏回归平方和
- w9 J. x& R$ }8 Q8 F8 g/ F# DSure event, 必然事件
. d* L' @- I6 `4 V H6 L5 S5 [Survey, 调查- \* @ `" C& B8 E* X" [
Survival, 生存分析( l2 g. n7 Q& a
Survival rate, 生存率& T! b$ ]$ ^ M# j: b3 h: M$ u
Suspended root gram, 悬吊根图6 }9 C3 c9 m+ l; \0 p2 J3 \
Symmetry, 对称4 l7 v, Z! p( m/ A5 f
Systematic error, 系统误差
1 \6 q9 P' C/ d- Z8 G, f* iSystematic sampling, 系统抽样
2 Q Q4 E! b0 A# ~( j4 NTags, 标签
% ?) s: w- U# H1 B, ~/ t) p1 sTail area, 尾部面积
2 F( L8 N# ~9 STail length, 尾长! E% b9 _* Q' {4 \- \' W
Tail weight, 尾重# I/ r% s6 @* U
Tangent line, 切线' X; W+ ?, t* d& }
Target distribution, 目标分布+ p8 q- f8 [% M$ ?" ^( t
Taylor series, 泰勒级数
/ U0 u* n4 x/ Z# s' U7 |Tendency of dispersion, 离散趋势. J, W3 i4 O& K6 t: m; ^0 K& {) x) H0 T
Testing of hypotheses, 假设检验6 j6 W6 K& ?7 |& [9 C9 S/ w: t
Theoretical frequency, 理论频数/ i1 Y9 N3 X% J
Time series, 时间序列& k3 \ ^' K3 p+ a
Tolerance interval, 容忍区间0 S5 b5 ^: ^; [; b' Z
Tolerance lower limit, 容忍下限
; C# q" p8 ^# \9 r2 v( vTolerance upper limit, 容忍上限& |) g4 m4 G4 g
Torsion, 扰率
2 h' x- c! T5 NTotal sum of square, 总平方和7 C" q& K F0 g3 g% ?7 v' M
Total variation, 总变异* b7 k1 y/ T4 j
Transformation, 转换2 q" K7 j7 H8 a4 _
Treatment, 处理
+ O8 I. E! E* S" yTrend, 趋势
* n! o$ ^; ]7 S- m" l! V2 ^Trend of percentage, 百分比趋势% s- E7 S6 C8 {4 u
Trial, 试验
( O, [( e9 u2 F0 Y& u+ dTrial and error method, 试错法: [& W8 V* O: M
Tuning constant, 细调常数
4 |+ ]" k) \8 [& ?8 V2 wTwo sided test, 双向检验( u% s8 K2 ?( u, S
Two-stage least squares, 二阶最小平方
) i1 [: G0 r- j3 p* l1 p% yTwo-stage sampling, 二阶段抽样
+ s1 ?0 T6 @# bTwo-tailed test, 双侧检验
- w ]! Z: Y7 Z* @2 o DTwo-way analysis of variance, 双因素方差分析7 \) Z9 s4 c3 q y
Two-way table, 双向表
- D+ ?5 V$ C. h- h" V- e* {1 WType I error, 一类错误/α错误
' v4 {3 ~: B: ~2 x6 cType II error, 二类错误/β错误
6 O, g0 o( i9 u* uUMVU, 方差一致最小无偏估计简称( y7 v) d5 y9 X4 W
Unbiased estimate, 无偏估计
3 r" @) l; O" [9 f# i6 [. RUnconstrained nonlinear regression , 无约束非线性回归
! E" N! D! I6 C( t2 N" T/ lUnequal subclass number, 不等次级组含量 u* C6 T4 F! ^% K
Ungrouped data, 不分组资料
4 J, C- [6 J. ^* s' BUniform coordinate, 均匀坐标 l! f9 _1 H- x
Uniform distribution, 均匀分布
1 [1 r5 l! u N' O4 G% x6 [Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
0 J U, W( {! P( u6 ]. [6 {Unit, 单元
. \) U6 {* h5 P) y$ l% X! u6 aUnordered categories, 无序分类. h0 j. C4 q7 f" u. c* x1 b+ b
Upper limit, 上限5 n5 a9 h1 x9 y( @, N
Upward rank, 升秩- V* P; e9 m# v" z) c' c; H! u
Vague concept, 模糊概念
1 j7 |8 ]3 w) [( h# i4 {& wValidity, 有效性
5 L1 y- Q1 t& l4 MVARCOMP (Variance component estimation), 方差元素估计* z: ]" X- E; `$ ^ K7 W5 `% }% v9 n
Variability, 变异性6 J. ~2 F3 L: f# Z
Variable, 变量
X! v1 P2 |) V* b3 SVariance, 方差
! v' M& ^2 H' ?. ?6 J5 l% M+ \/ XVariation, 变异- i5 p7 q# d; a E
Varimax orthogonal rotation, 方差最大正交旋转
6 v- S0 I2 p( p" z% ?' hVolume of distribution, 容积) p; Z0 c# `$ q5 X3 o" E- J
W test, W检验
; _: y+ ]' V& h" YWeibull distribution, 威布尔分布; p* [$ @9 |( j# h( _9 M
Weight, 权数
! V% U1 a; {: l7 e a$ j0 `- h4 zWeighted Chi-square test, 加权卡方检验/Cochran检验
, I- T$ b, V; m+ \, A! R. hWeighted linear regression method, 加权直线回归) g/ P* J2 R' {$ @: ^1 m$ `
Weighted mean, 加权平均数! S: Q. t4 W8 T3 ^
Weighted mean square, 加权平均方差
. H7 C4 Z: b0 j" T3 SWeighted sum of square, 加权平方和 F& @* ^2 h$ j# U1 f* z
Weighting coefficient, 权重系数
/ w% W' X8 S+ ^* _3 F$ ~: LWeighting method, 加权法
* \9 e) { n. W! d9 b4 `! xW-estimation, W估计量, H/ `) {6 [# u0 ~9 x. G9 k7 g( X
W-estimation of location, 位置W估计量& ~1 c# s4 K' i: X7 T! Z* v
Width, 宽度$ I C, B' ]8 c1 F! Y
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验 O* l% v1 O. A% o5 u; U3 q
Wild point, 野点/狂点: S, S: d U1 R( d( d1 h
Wild value, 野值/狂值* k0 c, j r3 V6 w# J
Winsorized mean, 缩尾均值5 Q" R$ M; p6 J( s
Withdraw, 失访 8 s k3 I% K7 W1 H6 O* c0 O. w
Youden's index, 尤登指数" b- ^- w6 p9 i! c4 W* L$ ^
Z test, Z检验$ G' k& K- X1 x; b% Z4 ]
Zero correlation, 零相关# m2 g1 Q. q$ d* O
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
