|
|
Absolute deviation, 绝对离差1 b5 q, s/ B; a$ Q% m: N
Absolute number, 绝对数
8 v9 c& u y/ [! F( @Absolute residuals, 绝对残差
4 j& ^5 c( f/ b% k! A* bAcceleration array, 加速度立体阵
' M% W# e9 p2 y2 I8 C% wAcceleration in an arbitrary direction, 任意方向上的加速度) M: `7 T! W4 t& C
Acceleration normal, 法向加速度# W* _9 `2 u: v- A
Acceleration space dimension, 加速度空间的维数0 s5 G1 g/ v" F1 m1 l8 a! w; G# p
Acceleration tangential, 切向加速度+ C/ J' ?4 S$ |$ {! {* E- `4 H
Acceleration vector, 加速度向量* Q% L- x' [- @, v1 g
Acceptable hypothesis, 可接受假设. k, L) \" x( k) T) u9 T+ m* [3 C
Accumulation, 累积8 V: @2 |1 C7 W6 Z
Accuracy, 准确度6 ^2 k# R5 E7 g8 q$ {2 }& {
Actual frequency, 实际频数2 N& g# P8 A7 X; w+ r
Adaptive estimator, 自适应估计量% O, k* M5 W- C! S0 y& i* @
Addition, 相加
/ t/ X+ F% _5 i$ f: w! xAddition theorem, 加法定理
2 ~8 q; B- {4 G, `Additivity, 可加性9 c! s/ g' a* Q) P8 F9 R" L
Adjusted rate, 调整率
/ a; _! P) j. b6 _' XAdjusted value, 校正值
3 m8 _4 p8 d6 @* e/ j) D& {Admissible error, 容许误差
) y" h5 |7 L/ m* x' t/ I4 RAggregation, 聚集性
. e9 Q$ O: a, }. LAlternative hypothesis, 备择假设$ W( [/ J b9 E5 C' Q- L
Among groups, 组间* C) O4 W% H- }( ] F! r0 e
Amounts, 总量0 L- F( |0 b" E
Analysis of correlation, 相关分析
. G. \ O) `9 ^0 GAnalysis of covariance, 协方差分析
( v% z# i: a) h! g, G; a# Z2 lAnalysis of regression, 回归分析
& S) G5 B, x ~: @7 OAnalysis of time series, 时间序列分析
5 T5 K6 A& q( T- ]Analysis of variance, 方差分析" y( e; U# ]" z0 I. n" u }- e
Angular transformation, 角转换
" [6 ^/ s5 g3 s8 g8 \ANOVA （analysis of variance）, 方差分析
/ J( y5 N, U6 p' d% L; P/ k# wANOVA Models, 方差分析模型& j' F R+ C$ O
Arcing, 弧/弧旋
c/ v0 p, B+ X% `Arcsine transformation, 反正弦变换
( N6 c; u# y& h+ X8 RArea under the curve, 曲线面积2 u- W6 D+ r4 K2 _' v4 T V3 ?( B
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
( R! c8 P* L* `- t. F' h" A6 JARIMA, 季节和非季节性单变量模型的极大似然估计 % L C+ Q: F. ~5 O0 k+ `
Arithmetic grid paper, 算术格纸7 U* B5 k7 F2 ^* |- ^" x
Arithmetic mean, 算术平均数( [+ c' u3 I- F) P B7 ~7 q, m& E5 Q
Arrhenius relation, 艾恩尼斯关系
6 {1 _6 O/ m% h& l" f$ G& q1 TAssessing fit, 拟合的评估
( L) Q9 k! I" c( q' HAssociative laws, 结合律& [& z' h% C2 t
Asymmetric distribution, 非对称分布
7 \8 n# @3 A! J, uAsymptotic bias, 渐近偏倚
% X8 a( y/ E# Q+ k% M9 |, _Asymptotic efficiency, 渐近效率
6 J I# |/ ?: |/ k: o2 M VAsymptotic variance, 渐近方差8 S) a. O8 }3 C/ ~3 w) ]
Attributable risk, 归因危险度
4 I5 ]4 L( A+ p/ u3 {) wAttribute data, 属性资料
' g3 E2 {1 F4 b7 K% d2 ?Attribution, 属性2 _- O) |6 J5 E# p U" N
Autocorrelation, 自相关
0 L- A4 j+ U4 P- ^& Z4 q' KAutocorrelation of residuals, 残差的自相关
8 P$ l& G/ K8 w% CAverage, 平均数2 g: S, U% Y. z3 ?& Z6 Y
Average confidence interval length, 平均置信区间长度, e |% R4 R; D7 u
Average growth rate, 平均增长率
) G# b( ]. r0 x+ ~$ t1 XBar chart, 条形图
0 f2 D( o6 Q- n: ], D! ZBar graph, 条形图& h7 r9 s6 f& w1 o1 J
Base period, 基期- [7 Z+ d1 v1 N! U$ M; G+ V
Bayes' theorem , Bayes定理
9 h" ?2 d3 M6 d3 cBell-shaped curve, 钟形曲线
8 N+ n# K1 R1 S* j; }) XBernoulli distribution, 伯努力分布* }3 n7 l: [4 O9 b7 V
Best-trim estimator, 最好切尾估计量1 `; Y' F1 n1 G% I8 p$ o
Bias, 偏性& O& O! C( `: `3 G# }3 d
Binary logistic regression, 二元逻辑斯蒂回归
. R# d, L$ |& g, v6 ]Binomial distribution, 二项分布( k. {- k% s# D& F; L# _1 }
Bisquare, 双平方5 Y/ G! G7 ?0 T2 y
Bivariate Correlate, 二变量相关0 i' d% }4 b, O' r$ E
Bivariate normal distribution, 双变量正态分布+ G, G5 Q8 t& t( V
Bivariate normal population, 双变量正态总体
; V4 ^. G; t7 c0 \) K: |! W7 N, F1 CBiweight interval, 双权区间; d8 n6 i2 @- X9 w5 ]; J
Biweight M-estimator, 双权M估计量2 x4 q; [8 x1 Z) C4 r
Block, 区组/配伍组: Z0 d8 s' B M* g" k$ Q. O
BMDP(Biomedical computer programs), BMDP统计软件包
; }0 ^& o- q3 Z6 s; C5 i- EBoxplots, 箱线图/箱尾图
- A1 l- s; N2 e" g/ h* l/ pBreakdown bound, 崩溃界/崩溃点* ^ n' c; R$ e- }$ q4 N+ f5 Y
Canonical correlation, 典型相关& I3 G4 z4 q- G7 k; I8 h
Caption, 纵标目1 F- O# \8 _, u0 E" v
Case-control study, 病例对照研究
7 i. h, p$ O9 u0 v9 t0 p" h" y1 kCategorical variable, 分类变量
: Y7 X9 I/ Q! F$ I2 {Catenary, 悬链线
9 U. T {% w9 gCauchy distribution, 柯西分布
: e# A0 Z: w1 }) f0 x! m& uCause-and-effect relationship, 因果关系
* p9 h+ G* _0 k6 QCell, 单元1 |& Y# \! ` S
Censoring, 终检
) e% q: r8 l E7 w& tCenter of symmetry, 对称中心( P# h9 n8 j- _' \& k9 p" {
Centering and scaling, 中心化和定标
4 M, N. i0 a* x. s: K5 V$ U% v2 X& WCentral tendency, 集中趋势) f6 @- Y* ~$ I$ w
Central value, 中心值6 d& f5 @( F8 ` P! G( |4 ^
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测: M% X, ^4 o# x/ u) h% T! d
Chance, 机遇- G: ?7 X1 G. H+ r+ E
Chance error, 随机误差3 Z/ y% Y* q" {0 s
Chance variable, 随机变量+ O. i2 [! _8 A$ \& R
Characteristic equation, 特征方程! P, O4 a9 z* h6 |+ z. n
Characteristic root, 特征根
! X" o% }# g$ B5 H3 h/ P% nCharacteristic vector, 特征向量# v i6 _' b9 y& {
Chebshev criterion of fit, 拟合的切比雪夫准则
/ e! C! s% {. I: S" J) V DChernoff faces, 切尔诺夫脸谱图
8 p9 ^& B$ C$ _: o9 P7 G/ LChi-square test, 卡方检验/χ2检验
1 x. F0 t( B6 E3 }5 D, iCholeskey decomposition, 乔洛斯基分解
7 c" Q0 }5 o9 [Circle chart, 圆图
! I r) ]$ m, HClass interval, 组距0 i/ [1 m ?! ?# N* ?5 J
Class mid-value, 组中值+ [. Z: G+ v6 b$ ?0 S" J2 P
Class upper limit, 组上限
5 l* y$ z, k5 lClassified variable, 分类变量! E9 v- F' v- u8 k& k6 ^) P1 l
Cluster analysis, 聚类分析1 N% w& c5 y# A
Cluster sampling, 整群抽样& W k% x6 F8 {$ ~; d" L
Code, 代码
) \# F6 f# ^6 ~5 D4 dCoded data, 编码数据
7 d7 i9 e6 \3 l3 p# y+ wCoding, 编码
1 N! q& X/ V5 ACoefficient of contingency, 列联系数
1 [6 N/ d9 s0 h7 t+ N4 S9 B( ?Coefficient of determination, 决定系数
Y, k1 b6 P2 h) a* _! Z" VCoefficient of multiple correlation, 多重相关系数; v3 q- I4 n" ~- `
Coefficient of partial correlation, 偏相关系数
0 v! }" S: C$ q k) w' j8 Z5 dCoefficient of production-moment correlation, 积差相关系数* P0 L1 u' ]; k; L$ v" o; `$ z" u
Coefficient of rank correlation, 等级相关系数( J) b8 {- R# L4 W% v t, D
Coefficient of regression, 回归系数( [6 v8 M! C) \# \9 O' n
Coefficient of skewness, 偏度系数& c: p: Y% w- \! d( `
Coefficient of variation, 变异系数5 t3 `6 c5 \* \6 a$ p7 f0 ` M6 s
Cohort study, 队列研究
6 L2 k6 z( \6 rColumn, 列
3 d, t& F' W4 LColumn effect, 列效应/ T7 W9 N* `2 e" Z! g
Column factor, 列因素4 f! n; W& q/ Z* |* L
Combination pool, 合并
" @& `- P$ E/ u0 ^# {7 @Combinative table, 组合表
$ T* @+ |4 ~/ W" \- ]3 iCommon factor, 共性因子* P! x- |& q# a l; Z1 W
Common regression coefficient, 公共回归系数
5 R( h Y- Q+ ]: U1 n& c+ tCommon value, 共同值' w, l9 p! g8 l$ n5 i9 Z/ N
Common variance, 公共方差7 a( ?3 e- {6 B. u5 M) _0 U6 @
Common variation, 公共变异0 o) e* w+ I) R& U3 J* K' K
Communality variance, 共性方差) ` y2 h% S* L" o2 t( x. U. P9 c; I
Comparability, 可比性" i* W% m1 i1 M& w- S+ V% c8 U! L9 ]: W
Comparison of bathes, 批比较" c) z4 `3 ~7 ^5 i6 F
Comparison value, 比较值" ]: Y/ W! C# h$ T& b7 @: S% b& |
Compartment model, 分部模型# g) x3 X' M& U \
Compassion, 伸缩
4 y' F2 A! _4 ^Complement of an event, 补事件* O$ [" d. T" w' d( l% ~2 u/ X
Complete association, 完全正相关 p1 P4 g X a5 A
Complete dissociation, 完全不相关% C5 q$ a4 I! [* b+ }
Complete statistics, 完备统计量
* o- N0 c7 J" g7 X' bCompletely randomized design, 完全随机化设计
& g7 t& h$ P* e# N: X2 |" D' ?Composite event, 联合事件" z+ Z- R( ^' M* k; Z4 g4 x
Composite events, 复合事件
; u3 _: Z0 C1 T- x% z% RConcavity, 凹性- m1 D: F3 D" _" a5 ~# T
Conditional expectation, 条件期望6 e1 ]* S2 K/ [& M, A: f
Conditional likelihood, 条件似然9 b( U/ p# M5 j7 g& n
Conditional probability, 条件概率
3 A( O& z' U1 j; J$ h1 `Conditionally linear, 依条件线性# d4 p5 v- g4 i; K
Confidence interval, 置信区间
7 j9 s2 X. l9 S8 z/ nConfidence limit, 置信限$ |! F* D h+ W. d
Confidence lower limit, 置信下限 ^4 g% Z) Y; x G$ j: n) _* a9 {
Confidence upper limit, 置信上限! T. z" N, |. f
Confirmatory Factor Analysis , 验证性因子分析( p+ G+ G ?" \
Confirmatory research, 证实性实验研究, x8 n$ \4 a8 t) z1 s
Confounding factor, 混杂因素
# Z: G1 i3 _# VConjoint, 联合分析% i7 k: U8 Q. r g- V0 F6 v' ?
Consistency, 相合性
3 c# U! j' G# q; I4 qConsistency check, 一致性检验! @2 _( S, X+ } m, r1 C
Consistent asymptotically normal estimate, 相合渐近正态估计6 f1 `3 V- d& v1 j
Consistent estimate, 相合估计
0 f; w' r! n- d% s: A+ s& cConstrained nonlinear regression, 受约束非线性回归1 [1 \- G; E" L* \1 k) A N; o
Constraint, 约束) [ g# k1 M3 O" T4 Z
Contaminated distribution, 污染分布
; b: c) Y$ Z# D: |Contaminated Gausssian, 污染高斯分布9 q0 w$ B' `7 x6 E1 f. }) s
Contaminated normal distribution, 污染正态分布
3 f! ?2 A V6 W3 R- m3 j4 mContamination, 污染" o$ a, |" ?2 \9 _5 i8 }3 `
Contamination model, 污染模型+ ^, u7 K& x' X
Contingency table, 列联表6 D5 K- b' g& c) m# U. B O
Contour, 边界线
/ ]' s6 s- b5 I8 k2 k5 d3 @Contribution rate, 贡献率' i7 O7 G/ E/ h9 ?& o c1 t
Control, 对照
, W; M) D' [2 I: v, XControlled experiments, 对照实验
3 Z% c$ I D" A) ~" ?Conventional depth, 常规深度. g% |) N- x7 I9 \: A
Convolution, 卷积" s/ U& q% Y0 ~: S
Corrected factor, 校正因子, C& j+ J! Y# M$ X+ G8 j
Corrected mean, 校正均值7 P8 a! V/ P0 z) g4 j& h { U z
Correction coefficient, 校正系数
, e8 `; s; a+ i5 yCorrectness, 正确性% H3 K" U) \. u' ^
Correlation coefficient, 相关系数
. \0 B2 |* \5 l3 y: p; HCorrelation index, 相关指数
% V6 V' h( m4 b* ?5 OCorrespondence, 对应
! Z& x' Q1 D D: h: ?# C( G1 R1 U+ D: CCounting, 计数
: H2 R2 Z1 b$ Z6 g! ]* DCounts, 计数/频数( w \: t, u" {8 r
Covariance, 协方差. C+ |$ j9 Z; Z9 v8 x, X: e
Covariant, 共变 , S: T% H- S5 j! P5 `
Cox Regression, Cox回归
8 ^; T6 t1 Y' Q8 L0 B( W0 WCriteria for fitting, 拟合准则+ ^: }) t) m% j q- z1 l! u/ T
Criteria of least squares, 最小二乘准则. S4 ]2 x }' g
Critical ratio, 临界比. U6 U Q8 P$ q! i
Critical region, 拒绝域
: c: D& e: }0 A" i8 }; WCritical value, 临界值
0 ~6 @& l5 E. p& z& {" \Cross-over design, 交叉设计: {5 `& W0 R9 N! x* Z# a: \* k
Cross-section analysis, 横断面分析; ?* _/ N v# E7 g* [
Cross-section survey, 横断面调查5 z8 b. U# Q7 t. y/ P& u6 U
Crosstabs , 交叉表 / C* }# u: w5 ]& J8 S
Cross-tabulation table, 复合表2 V, b0 [3 v6 c4 l: E2 F
Cube root, 立方根
! H) E& C# n* F0 ~Cumulative distribution function, 分布函数" f6 u% t$ [# M& n. U$ f; D, z
Cumulative probability, 累计概率
- U! z/ M7 m( L9 A) KCurvature, 曲率/弯曲
6 |- [* X: Y3 }Curvature, 曲率3 |. L/ {9 h3 C( p6 B; W
Curve fit , 曲线拟和
! Q8 F5 _9 e' u: `+ I2 R3 p+ UCurve fitting, 曲线拟合
4 x$ Q6 f j( c B/ S t- m) C6 TCurvilinear regression, 曲线回归$ `3 U! \2 l4 c! N" u) O! E% ?7 w
Curvilinear relation, 曲线关系
) z' n* v( V3 G5 s oCut-and-try method, 尝试法3 ~& }) M( l4 y: ?6 B* l7 B9 E
Cycle, 周期# u" `% X3 G7 z G0 v- A6 `8 D
Cyclist, 周期性
( g0 x* k2 V( V3 h* \ A. z; u9 YD test, D检验; x* c I! A/ }
Data acquisition, 资料收集: s: G! a3 q" _( X& J: r( y( C& D
Data bank, 数据库
q* ]' L Z3 | XData capacity, 数据容量
" U1 o, e* g& w# F/ DData deficiencies, 数据缺乏- ] q; _; V+ \' \
Data handling, 数据处理
$ f! K. h5 L! _4 ^7 E: | u0 Q. l9 Y9 RData manipulation, 数据处理 U. u! D. ]- v, p5 a5 F! V
Data processing, 数据处理
7 ~4 i: Y1 W9 X) H) V; A" jData reduction, 数据缩减0 ~. A* Z! ]% w( Z2 J
Data set, 数据集
b: l% ]+ Z$ m5 Z8 wData sources, 数据来源
, z) D3 ?4 j4 w2 O2 }1 PData transformation, 数据变换
1 o C. q8 w! F( u9 c8 N G% x5 a' DData validity, 数据有效性* `% a2 G7 c4 L& W3 p$ _
Data-in, 数据输入, I# w. D: p- k* W$ s0 f
Data-out, 数据输出: C* M) f- `( [, g1 U; a
Dead time, 停滞期4 e4 X) R. E% X: d5 `9 U! V
Degree of freedom, 自由度2 `& t8 l9 s# b6 l8 V ~
Degree of precision, 精密度$ v9 @* J* ]8 R+ M& O
Degree of reliability, 可靠性程度: r9 x7 D7 e( P, w
Degression, 递减( n# u6 I4 Z1 T% K$ e
Density function, 密度函数
- i& p. @& K" f- DDensity of data points, 数据点的密度$ V! ^% i% G6 I
Dependent variable, 应变量/依变量/因变量# @ F- S# `* _* K5 e( G7 V1 b" m
Dependent variable, 因变量( S* F$ U, i* ^3 _0 ^6 A
Depth, 深度' _/ D- B' R% J) _& [, n
Derivative matrix, 导数矩阵
% i; M) l# o' gDerivative-free methods, 无导数方法
. N3 f& A* k- y ?8 t3 TDesign, 设计
1 }0 L4 H* B" h6 }Determinacy, 确定性
% F8 n/ ^( t n6 X: L& ?9 tDeterminant, 行列式7 d5 ~! ^4 m3 M% [; v- X. e, x
Determinant, 决定因素
, w: Q; P: s9 o; J* g. eDeviation, 离差* y( U- d L+ I
Deviation from average, 离均差$ n! t8 n }% z
Diagnostic plot, 诊断图
' s2 @2 g) D1 r3 x# UDichotomous variable, 二分变量
) \3 w& B1 ~# g' H5 _ d Q4 tDifferential equation, 微分方程- K+ O! s7 _- N+ `# {& S ^; `
Direct standardization, 直接标准化法
% A: p X9 F* i6 z6 d* h( K0 G' MDiscrete variable, 离散型变量
0 s! K. l5 o' |5 a5 A8 G' SDISCRIMINANT, 判断 ; h0 E* I* f$ c% B
Discriminant analysis, 判别分析
% d/ s9 |" L1 zDiscriminant coefficient, 判别系数
& u& e9 ^) K3 A, m- yDiscriminant function, 判别值) d1 L8 l2 G4 b
Dispersion, 散布/分散度2 H2 u n, f: K5 C8 L7 p
Disproportional, 不成比例的
. }+ w) b4 [9 R" x! CDisproportionate sub-class numbers, 不成比例次级组含量. ?; o7 X8 _# D8 C6 W7 f5 J- P
Distribution free, 分布无关性/免分布
* s( J/ r$ S# ?! m1 P2 `$ @: [Distribution shape, 分布形状
1 \( X$ p4 @3 G) G+ M' b# LDistribution-free method, 任意分布法3 E0 f3 k# U. j: t/ c4 N
Distributive laws, 分配律* t, P$ h8 M$ }2 @- A; z& J% ] A
Disturbance, 随机扰动项* M' K% m/ H3 e6 g/ m
Dose response curve, 剂量反应曲线. | U9 y8 [( _% K
Double blind method, 双盲法
# z' G6 S* A: c+ s: @0 JDouble blind trial, 双盲试验7 @/ ~0 ?) s, M0 Y' d0 j; I% ]
Double exponential distribution, 双指数分布
/ } M- B( b0 [8 J4 R7 N9 zDouble logarithmic, 双对数
1 C& o+ ~1 C) f; x; V K, R# eDownward rank, 降秩
1 J2 U% k0 E7 `% ?+ q( ^( w* L* J+ r- a& MDual-space plot, 对偶空间图
4 N, Z& N9 `5 T) r$ J, S, \$ qDUD, 无导数方法
& {/ e1 H+ P1 d! ^4 J8 cDuncan's new multiple range method, 新复极差法/Duncan新法4 Q* P8 M: G6 q! \8 g9 h6 o8 V
Effect, 实验效应! ^0 T/ p, ]& l8 i( M
Eigenvalue, 特征值( s% m% e0 q D2 w1 q( {; x. @
Eigenvector, 特征向量
, b9 J! y2 H2 j( E2 jEllipse, 椭圆
& B r& r$ C( V7 U$ x/ @Empirical distribution, 经验分布6 G# {' z9 w( q0 k' q
Empirical probability, 经验概率单位0 `: h0 w% d* _9 _+ W0 M+ ~
Enumeration data, 计数资料
( A* i- A$ P7 cEqual sun-class number, 相等次级组含量' H; R6 z& D( f! K+ I. q
Equally likely, 等可能8 P/ Z& P5 w ~' n8 }, d+ O+ g
Equivariance, 同变性
\: R1 v% w$ v0 ZError, 误差/错误
/ ]4 Y# c1 S) U" P7 C8 YError of estimate, 估计误差+ r5 g# w, S) P. [& x; n' g: F
Error type I, 第一类错误 J5 ^7 w. o7 d7 u: h7 e! P
Error type II, 第二类错误: W% Z3 A; ]' }3 h6 o9 \
Estimand, 被估量' { G/ x y* u' X: D* A
Estimated error mean squares, 估计误差均方3 ]" }7 i! _& V$ m. k I+ E7 d
Estimated error sum of squares, 估计误差平方和
# p) t) x$ a6 N/ c. ~* C! SEuclidean distance, 欧式距离
; X6 @% d( {0 b+ sEvent, 事件! b5 Q2 t( h4 ]
Event, 事件: }; ^' b8 j& O8 R* `2 X/ a
Exceptional data point, 异常数据点3 z5 u) A. T( ^1 M) w- b
Expectation plane, 期望平面4 _7 S0 \! r8 S. p
Expectation surface, 期望曲面
Y$ S! X [) \# ^: C- g; ]Expected values, 期望值
9 {, V1 ]* z7 Y# v( m3 v |Experiment, 实验
5 a+ o* P& j5 Q7 d* b. _Experimental sampling, 试验抽样
. Q& V* P5 K j0 @7 @; S* f9 {2 F. jExperimental unit, 试验单位
$ _9 v0 e' O' r- C; k5 v! eExplanatory variable, 说明变量# T4 ^) O, o! y5 W- q$ o
Exploratory data analysis, 探索性数据分析
9 \, z! [; `3 }8 gExplore Summarize, 探索-摘要$ h& F6 B* i% k& s& e
Exponential curve, 指数曲线9 Y3 [9 e8 p/ I# x# A, ^
Exponential growth, 指数式增长7 G1 z2 b1 k* n* _2 y0 v6 m1 L- A
EXSMOOTH, 指数平滑方法
; b9 v! c) L( y* N( t$ B3 j; lExtended fit, 扩充拟合
: l5 d$ Z" f, W# M+ ^Extra parameter, 附加参数; |& @8 E! i2 T- v
Extrapolation, 外推法
' S8 x$ |$ B% p, N1 IExtreme observation, 末端观测值5 a0 H, [' L8 a4 D- X
Extremes, 极端值/极值
" e- d, y8 T( b: b# tF distribution, F分布 L8 g, N8 t! U# ~: E1 u
F test, F检验. ? d. P! X6 w# B" }4 t& E
Factor, 因素/因子( c" Z8 `" Y- |& r1 _ d
Factor analysis, 因子分析# P N: M+ \' ~1 t1 P" P6 S
Factor Analysis, 因子分析
; B( W" L6 U& ~' G) d8 \9 kFactor score, 因子得分 6 l7 a" h0 t) t, z/ ]; X
Factorial, 阶乘
- l2 ?6 D# O5 A* y# l' o7 ^) R( [Factorial design, 析因试验设计9 O U! X7 X$ {/ Z+ f5 k- N
False negative, 假阴性
: q" ]$ l& e9 W: pFalse negative error, 假阴性错误9 k$ C/ @; J5 o, C
Family of distributions, 分布族2 v! s8 J N7 b9 @- V
Family of estimators, 估计量族$ z; `1 ~. s# v$ l( u
Fanning, 扇面" \) X3 \( \* {- |& a+ G# E9 s
Fatality rate, 病死率# ~- ^0 D: [! I0 y
Field investigation, 现场调查+ k6 h i6 ~& l3 `' V: E& Y! h
Field survey, 现场调查
4 K6 ~& h% W! |; @' u; ]& XFinite population, 有限总体* b; L: |5 Q. n I V
Finite-sample, 有限样本) \+ @( r, T$ [
First derivative, 一阶导数
) j: Y( y. X1 `& ?First principal component, 第一主成分
2 X# m' m+ K$ ^3 Q) w3 \/ n: IFirst quartile, 第一四分位数
) Y+ O m0 i4 F8 bFisher information, 费雪信息量
0 X/ D$ i" l; ?8 h" QFitted value, 拟合值
9 t* D j; Q8 OFitting a curve, 曲线拟合, G3 H; {, c# y0 D8 x8 n
Fixed base, 定基
: [/ o: V& z: V& f; J RFluctuation, 随机起伏7 {; O9 Y6 O8 e3 i5 A) v1 P
Forecast, 预测
% h( \/ @/ d0 T8 Y sFour fold table, 四格表) ~# Y! t: p6 ]0 C- C5 _7 [
Fourth, 四分点: q% N" A5 U9 C8 H( _6 [- U& E% W" F
Fraction blow, 左侧比率
: m1 y0 x1 \2 ]* S9 W4 w2 n& H8 DFractional error, 相对误差
0 F N0 w! ?! ^7 N: N0 nFrequency, 频率4 ~6 c; O. t7 A
Frequency polygon, 频数多边图
( j0 x! G( P, x+ q' Z6 sFrontier point, 界限点
/ Z* _6 m+ @9 wFunction relationship, 泛函关系
2 f& ~! u2 n F% B3 o0 J1 cGamma distribution, 伽玛分布
6 }* ^) R# x, F; H$ JGauss increment, 高斯增量, n: p" \& a4 M( S2 O( N* `3 j
Gaussian distribution, 高斯分布/正态分布
2 v! b C; F1 `1 I& C& zGauss-Newton increment, 高斯-牛顿增量9 j5 x- Z9 Y y# a9 \, ]) g
General census, 全面普查
# D* f0 w6 E6 X3 T! IGENLOG (Generalized liner models), 广义线性模型 ! k3 O* ]$ N/ u h( D% S
Geometric mean, 几何平均数4 E# b R* t* M/ s9 M. S
Gini's mean difference, 基尼均差
- x) @" l4 `, ~0 q6 OGLM (General liner models), 一般线性模型
& Z4 Y0 |4 ~) @' Z+ U) H; _Goodness of fit, 拟和优度/配合度5 `$ @) A% i0 [6 U
Gradient of determinant, 行列式的梯度* U! |) W- B/ S' u/ X
Graeco-Latin square, 希腊拉丁方6 O) Q) T; |: U- [
Grand mean, 总均值: F+ t8 K! K2 _0 D
Gross errors, 重大错误4 f" v5 u2 Q# m5 W
Gross-error sensitivity, 大错敏感度! O5 i' ~% S) ^6 X% |6 x' p
Group averages, 分组平均5 ~( }$ V/ v S$ @4 v
Grouped data, 分组资料 V; C+ q/ m5 V, N8 X+ k) R1 p
Guessed mean, 假定平均数% j. ?- ?$ [# {& h5 P
Half-life, 半衰期
3 V7 g. i5 [; k' u$ j7 gHampel M-estimators, 汉佩尔M估计量
! r: g& l3 `6 k' m1 V3 n& @Happenstance, 偶然事件% \# z0 h$ m* b7 N
Harmonic mean, 调和均数5 G$ ?. d0 n/ T; C; I2 e1 L& m
Hazard function, 风险均数
: ^" ?$ h4 U. Y1 C7 t: ~& fHazard rate, 风险率
- Q% f( n# R7 g q7 G; sHeading, 标目
% R% G9 P" \0 l/ |; Y1 BHeavy-tailed distribution, 重尾分布9 U0 y e+ R, i
Hessian array, 海森立体阵
! F6 C' b. T' ?- hHeterogeneity, 不同质8 M0 R [5 K3 o g: U& C, N
Heterogeneity of variance, 方差不齐
0 q" Z0 Z7 ?" j9 H% H/ K) B0 |1 a- zHierarchical classification, 组内分组7 l' ^, m3 Z, N" o
Hierarchical clustering method, 系统聚类法
; S7 p. Z+ f0 Z. m' s; WHigh-leverage point, 高杠杆率点8 B# C! z {6 m$ o; d
HILOGLINEAR, 多维列联表的层次对数线性模型
/ w: r! e% I$ z7 LHinge, 折叶点8 ]8 r- L9 f+ ?7 y
Histogram, 直方图 U% T& v) l' q2 v f N3 q( x. P
Historical cohort study, 历史性队列研究
( t4 b _9 ?8 `9 oHoles, 空洞
7 G3 ~0 r! k& V2 ]) b: y- {/ hHOMALS, 多重响应分析6 x4 p! [, x L& W+ @3 u- b
Homogeneity of variance, 方差齐性" r; m# G1 r% r# Y
Homogeneity test, 齐性检验
; H7 \1 f% v8 q4 h- X+ @Huber M-estimators, 休伯M估计量
" U3 _' ^/ Z1 q# t. T$ ~Hyperbola, 双曲线
3 u# \* H: x' m: g1 KHypothesis testing, 假设检验, j1 F2 ]; F4 U; C1 ^ f. Q/ h9 z/ J
Hypothetical universe, 假设总体
* P2 c) e/ Y/ m. DImpossible event, 不可能事件0 C- o* D2 b1 ^6 P7 u8 t2 _
Independence, 独立性
+ @9 k, N: l- N- K7 l4 NIndependent variable, 自变量
) `1 y$ h: w- O* F2 [( e+ wIndex, 指标/指数
" g) g3 C- C8 c# k2 A! a! ?Indirect standardization, 间接标准化法
1 ~4 t. l1 k7 TIndividual, 个体
7 U0 u `2 l* n$ }Inference band, 推断带
, O* y' w% m6 H: S/ R5 Z( v& z0 YInfinite population, 无限总体
[" S8 B# c8 V. m" R3 q7 BInfinitely great, 无穷大
7 r* ~+ r) f2 \1 H/ ~" ~Infinitely small, 无穷小9 ^7 l9 j4 m: H( L: a
Influence curve, 影响曲线5 a" E& y/ k1 g: ]9 S
Information capacity, 信息容量1 c7 j& V$ u, m: B+ O9 D9 _
Initial condition, 初始条件
4 J5 v, X. D; U' J& eInitial estimate, 初始估计值
; d8 w" b' A! a) ^! F( @! @Initial level, 最初水平
- S- K/ j/ t& n( p0 v- ]6 hInteraction, 交互作用
8 H2 ?( {; Y+ D. E1 O4 Q. xInteraction terms, 交互作用项
4 h% L' J `; x; G8 O/ s2 MIntercept, 截距
, n; G$ x4 p8 L% L1 G% c# K O- ~Interpolation, 内插法
0 J, e5 d' X o! |. ?2 B; zInterquartile range, 四分位距& F/ i, h% C: Q( H& S; _& Z
Interval estimation, 区间估计
( n8 b h0 d0 zIntervals of equal probability, 等概率区间
. `% O" G+ Y* V! e( w* [Intrinsic curvature, 固有曲率* f9 V- R T% U/ b5 m9 Y( g
Invariance, 不变性4 B1 Y4 X$ u8 i
Inverse matrix, 逆矩阵0 i1 |) p w x5 F; D2 Z
Inverse probability, 逆概率
5 R/ H7 P& U, k$ S& H# @Inverse sine transformation, 反正弦变换
2 o4 j& r4 _0 `& mIteration, 迭代
3 _: H! [- M, U) IJacobian determinant, 雅可比行列式
3 m1 P) Z% u; a/ \3 B' C8 P+ I& N/ ^Joint distribution function, 分布函数3 @! V- Z( y1 U8 J* I. J
Joint probability, 联合概率. v, D6 I- ^* u: ^- k
Joint probability distribution, 联合概率分布, f( X4 @: ]& f( v4 |7 T; ]
K means method, 逐步聚类法* Y, ?- u+ J& A; p# L2 {' v
Kaplan-Meier, 评估事件的时间长度 + p/ Q2 n( t) j- @
Kaplan-Merier chart, Kaplan-Merier图; H" B# \+ @3 J/ b; Z7 C- j" r6 s4 I
Kendall's rank correlation, Kendall等级相关, J! S9 T3 z% b6 H' p* \: Y* M
Kinetic, 动力学
- I) `9 A: b& O6 q" L: d! f* i$ wKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验) g. v6 c, p( N0 A g% O
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验; g$ S: p3 ^+ y O* k" f
Kurtosis, 峰度
2 B$ s0 A0 m6 b, ^Lack of fit, 失拟. }' F) z# @& j; ]8 \# |
Ladder of powers, 幂阶梯
3 ]7 ?# }8 p6 X7 v+ oLag, 滞后- J/ I% x/ i, s; U+ W$ Y
Large sample, 大样本
& {2 F1 W- X9 D0 L& ?Large sample test, 大样本检验
6 ~+ ]+ P2 f. f1 I `0 I" a8 ?Latin square, 拉丁方: a* m- t4 t g. ?
Latin square design, 拉丁方设计
) T/ I$ `; A! ]( Y0 D( j: L; }( @Leakage, 泄漏$ F4 |0 w6 ?1 Q8 ?. @
Least favorable configuration, 最不利构形
+ l( {2 b( A/ w# f- C" ^7 t; u9 tLeast favorable distribution, 最不利分布
9 g, O% h$ _; P: \+ ]; S9 ~4 BLeast significant difference, 最小显著差法* M$ }- a9 f$ n0 D6 j
Least square method, 最小二乘法# n+ x. M A7 l- ~& P8 O
Least-absolute-residuals estimates, 最小绝对残差估计% P& G; U- _+ i6 ^! H0 v% F
Least-absolute-residuals fit, 最小绝对残差拟合" _: _4 Y. D' U, |% W4 f; F1 m
Least-absolute-residuals line, 最小绝对残差线5 a: ?) B5 L1 A, _: j, @* l5 f
Legend, 图例! t! M8 O. A5 T R
L-estimator, L估计量
. p& w* n# k ?* ]. `3 xL-estimator of location, 位置L估计量" r4 P) X$ _( I7 d1 y" B/ Y% t
L-estimator of scale, 尺度L估计量! b' g7 m; R* C8 r7 f
Level, 水平
6 Z$ O5 ^3 n5 l% _0 aLife expectance, 预期期望寿命/ P2 v4 M8 z, [8 ?: \
Life table, 寿命表$ `" |; _& |2 Q& y# I# I
Life table method, 生命表法( {* X7 l# a$ e( z9 [3 `
Light-tailed distribution, 轻尾分布' P- B5 ?4 L/ G8 C4 F; k
Likelihood function, 似然函数
# h% N9 z0 n" M3 I& nLikelihood ratio, 似然比+ |& E9 C% I% q7 v( e) m' r
line graph, 线图, \/ J$ K6 S' B H
Linear correlation, 直线相关7 t/ T, i3 _# u
Linear equation, 线性方程8 A5 n% ?; |& t9 u; ] i
Linear programming, 线性规划: |0 j! k2 }& @! S- H2 c+ u
Linear regression, 直线回归
. x4 M2 J+ X! i; A& M, v% e1 ALinear Regression, 线性回归
1 e9 S% U/ C& X% K0 Z: CLinear trend, 线性趋势
. v; e2 g) W) ^1 e# l* i, iLoading, 载荷 / N; q9 E1 e: h: i
Location and scale equivariance, 位置尺度同变性
2 w+ h7 B& ?( \- b6 ^1 i+ F* TLocation equivariance, 位置同变性* z+ I/ V: q2 y! N
Location invariance, 位置不变性
4 X6 c- D' K2 i& w$ @0 jLocation scale family, 位置尺度族7 \$ a& a! W8 t; a' [
Log rank test, 时序检验
" A2 _5 Y3 ^/ l/ ^4 W: J' ELogarithmic curve, 对数曲线/ D! R0 g7 ? ~' _. b5 k$ q: b
Logarithmic normal distribution, 对数正态分布# m6 S5 S: E0 a0 n
Logarithmic scale, 对数尺度; m9 D! }* p0 ?9 Z' i
Logarithmic transformation, 对数变换! w; f" Z3 [3 Z H0 Y8 o
Logic check, 逻辑检查8 `' r' O+ d& [6 @ Z5 O1 S( x" e- R
Logistic distribution, 逻辑斯特分布0 k3 j( a4 S( `, v# H" G7 m
Logit transformation, Logit转换
7 f* C% L6 D: i& E5 }- i# ?4 @LOGLINEAR, 多维列联表通用模型
4 p" J# Z1 k% P8 {Lognormal distribution, 对数正态分布4 f6 A% w C, v
Lost function, 损失函数( a% L& g B: Z/ ?7 O4 D- c
Low correlation, 低度相关# u8 t# p j w. y( i! i+ ]( Y
Lower limit, 下限
- k9 J; B" r7 I" O1 l5 f/ @Lowest-attained variance, 最小可达方差
* M& R5 E0 n4 ELSD, 最小显著差法的简称* K8 I* g, }+ p$ v
Lurking variable, 潜在变量
9 b3 P# z E2 q% c% vMain effect, 主效应% o6 X. z; W! y" g8 b0 @; p
Major heading, 主辞标目2 b; L7 K& R: W
Marginal density function, 边缘密度函数
, g, e1 N b% CMarginal probability, 边缘概率
$ l$ a8 \' f; @ ]# `: ]% x$ zMarginal probability distribution, 边缘概率分布7 x/ ]. O- f W/ E
Matched data, 配对资料1 i" `) B: [: F
Matched distribution, 匹配过分布0 c2 j) p' c# ~7 j
Matching of distribution, 分布的匹配" v; @" r6 V& Q. X
Matching of transformation, 变换的匹配
' s/ {/ R& I% f8 a8 ^$ S4 x0 P5 }Mathematical expectation, 数学期望( T7 B: o0 t. T/ V' f
Mathematical model, 数学模型
/ a: q0 p1 y% F& L% A$ pMaximum L-estimator, 极大极小L 估计量
0 z4 A4 X3 W' I3 D0 jMaximum likelihood method, 最大似然法: a4 X' g6 s0 s j( d( w
Mean, 均数
# ]* d( e Y) UMean squares between groups, 组间均方+ H! W+ e& c% V- x' P. K
Mean squares within group, 组内均方7 Q3 b: q9 K& L3 }
Means (Compare means), 均值-均值比较& G9 n- S) O: @# }' t+ {
Median, 中位数
+ l( Q1 {$ E5 f: ~8 wMedian effective dose, 半数效量
) j$ n, v/ u" E) y& \+ W) uMedian lethal dose, 半数致死量
' W. I* x F* P! u4 a- CMedian polish, 中位数平滑
* h! b v) i; i: L ^Median test, 中位数检验2 w1 ]) G, d- d+ d$ C
Minimal sufficient statistic, 最小充分统计量- g) O2 m2 B4 R4 X
Minimum distance estimation, 最小距离估计
4 N; A0 w5 k. U! u3 o. LMinimum effective dose, 最小有效量
* I" W: F3 y* i& k* d) BMinimum lethal dose, 最小致死量
( W( G& Q, M! @% I cMinimum variance estimator, 最小方差估计量# \- K+ g+ E# W: S B1 K
MINITAB, 统计软件包
1 C8 `- F4 K% [: `6 Y. lMinor heading, 宾词标目 Q8 V0 k6 `2 G% B* D
Missing data, 缺失值7 ]. J2 ?; }3 M# \
Model specification, 模型的确定
! n# j6 i6 ~: P1 L qModeling Statistics , 模型统计
2 g. Z/ I# g9 u" m! o0 H! HModels for outliers, 离群值模型
) ]$ E& s& Y' ~1 WModifying the model, 模型的修正' ?% V: _) t7 |% E# u( e. t0 l4 h
Modulus of continuity, 连续性模
( V* K# g! H2 l" B5 b5 L, nMorbidity, 发病率 , B4 N6 K0 s: z6 P
Most favorable configuration, 最有利构形2 p9 k5 G O1 M6 _% ]4 K
Multidimensional Scaling (ASCAL), 多维尺度/多维标度5 g# O; G* K- d: a+ c0 D
Multinomial Logistic Regression , 多项逻辑斯蒂回归
/ v$ y ^5 m' z0 S8 @: o; mMultiple comparison, 多重比较) t; g6 m! I& R$ }2 S' n( |8 f: @( r
Multiple correlation , 复相关
5 \/ j, R7 Z% M; G# gMultiple covariance, 多元协方差
) V( A" U! X: [$ w3 DMultiple linear regression, 多元线性回归
! m1 j9 t% b, @, @0 T2 C* jMultiple response , 多重选项* h+ S1 i0 u5 y+ k
Multiple solutions, 多解
& R' W( B9 ~0 o& JMultiplication theorem, 乘法定理! J. B" a# S5 P$ d* J
Multiresponse, 多元响应. F9 h( x* Q% r# S
Multi-stage sampling, 多阶段抽样
& K, H9 Z& h( `+ v7 O# mMultivariate T distribution, 多元T分布7 b2 J8 Y: m4 G! w
Mutual exclusive, 互不相容
* Q }! y4 g' q# c9 P* `, {Mutual independence, 互相独立( o) y7 u' d M0 M8 o8 W5 _ \3 S
Natural boundary, 自然边界
/ G s; W0 X f% E( C+ wNatural dead, 自然死亡
* b' I/ ]7 t$ ~ w+ @- w& R) RNatural zero, 自然零9 H E. m, Q) M( a/ s: \: J
Negative correlation, 负相关4 V" x3 q8 q' Y) A4 F
Negative linear correlation, 负线性相关2 @; y W. j! X% _! T* d$ p
Negatively skewed, 负偏4 D! k: _4 m8 v- g0 ]/ B1 w
Newman-Keuls method, q检验9 w, c9 X' }, n- B0 l& D+ I
NK method, q检验/ E6 ?, g7 Q* E
No statistical significance, 无统计意义4 Y- d3 m/ ?3 ?& u8 W9 k, x, X
Nominal variable, 名义变量
$ {( ?1 B% y& d4 e& a% @, pNonconstancy of variability, 变异的非定常性2 ]+ [. T a& l% ]& |
Nonlinear regression, 非线性相关: k- o8 X# i% ?( A1 l" `9 v7 y5 p1 ^
Nonparametric statistics, 非参数统计0 `9 U+ d* o- {" F: t* \
Nonparametric test, 非参数检验
$ L+ p; y* S- m+ H" wNonparametric tests, 非参数检验
|2 i7 b+ T7 t% ]Normal deviate, 正态离差$ N8 H! c' ` |. R+ l/ c6 I
Normal distribution, 正态分布
" h8 l$ U6 `2 ~0 s* MNormal equation, 正规方程组6 j+ r( E. K0 S
Normal ranges, 正常范围, {3 [2 C3 A& T1 o/ ~! Z
Normal value, 正常值! u, K% _ e7 \% m o
Nuisance parameter, 多余参数/讨厌参数8 H1 Y O% j, [( P( R7 {, J
Null hypothesis, 无效假设 2 `- V% }/ D. S9 f
Numerical variable, 数值变量
9 p7 G# F$ e N+ w; UObjective function, 目标函数
8 s0 s' V7 A* J2 w( G! E3 H2 m3 W8 a4 yObservation unit, 观察单位1 A) b' u B+ B& |4 p# S0 w7 m/ U
Observed value, 观察值
7 Y5 v) A. l( k& ?One sided test, 单侧检验6 [! d: ^* b& W6 r$ k) k
One-way analysis of variance, 单因素方差分析" `9 n) X3 ?. [' X+ _8 }* S
Oneway ANOVA , 单因素方差分析
3 n5 r# j/ i$ b2 X0 COpen sequential trial, 开放型序贯设计- g& n8 J: N. N1 a: }
Optrim, 优切尾
* u: V0 {9 v3 ] |Optrim efficiency, 优切尾效率$ l/ ^6 ?" t/ ~( E
Order statistics, 顺序统计量6 \+ Y4 e& U4 h L# \ \5 S
Ordered categories, 有序分类$ M. V' g1 u1 o2 G! t
Ordinal logistic regression , 序数逻辑斯蒂回归* J% e" n" I5 x D3 l& e [3 h
Ordinal variable, 有序变量% M- c. y8 A5 g. ^
Orthogonal basis, 正交基1 \* {8 w% W! ^* V
Orthogonal design, 正交试验设计
; ]& ?' m& a& e: H* Z0 w6 Q/ U- ]: kOrthogonality conditions, 正交条件
4 b1 U1 O: \; }& mORTHOPLAN, 正交设计 * K0 S; m0 d1 ?' e
Outlier cutoffs, 离群值截断点
' }8 e( r; u# l; {; Y& e {) SOutliers, 极端值0 o0 ^8 ~! S2 W% P6 e
OVERALS , 多组变量的非线性正规相关 0 h2 d0 F0 [' z" E" Z% e
Overshoot, 迭代过度
7 z! E% _3 B" R4 v& t1 WPaired design, 配对设计
4 |# r7 g+ c* Q6 o1 e* v( jPaired sample, 配对样本$ @ n5 N: _% A9 l: v5 a
Pairwise slopes, 成对斜率
- u; \" n; R6 a" k& RParabola, 抛物线
, K$ B" w. z# F1 d" }Parallel tests, 平行试验
$ h8 J% z* v5 j( ]2 eParameter, 参数
1 f- Q+ a+ A0 z# y# E% Q! R0 @- }Parametric statistics, 参数统计
# {$ P$ T0 k4 _3 c$ [& a% w1 JParametric test, 参数检验
) j& H/ N3 @. U9 n: K* Y! g8 ePartial correlation, 偏相关
' o+ h! G+ g9 r9 K" f" ]Partial regression, 偏回归
{" y9 y" ^3 @( S* Z, N1 k! FPartial sorting, 偏排序
. W# D) n% _3 [7 J" J9 S' PPartials residuals, 偏残差
. k( s9 G. I" _! |$ Q2 ~Pattern, 模式
/ R9 ]8 H9 C! ~' I/ ZPearson curves, 皮尔逊曲线
2 p# { D( {& p' `$ n: a3 x5 O$ rPeeling, 退层
1 f( ]/ c) Q$ F+ _2 n( |/ D; W+ WPercent bar graph, 百分条形图' e3 {; R2 p5 a
Percentage, 百分比& e- F8 U( Z; l$ S3 d9 U
Percentile, 百分位数+ ~9 x5 [ m0 r" L7 @6 m
Percentile curves, 百分位曲线* A* y- N+ ]4 w6 X- S( E, ]" r
Periodicity, 周期性- F' K" Y# ^4 s8 i2 |3 t
Permutation, 排列2 {1 C4 y) F5 F
P-estimator, P估计量
' E" ?4 S: v8 Y+ zPie graph, 饼图
! ~& N8 M* \$ q, f" {Pitman estimator, 皮特曼估计量+ R+ `$ e: W6 y* Z, @, `
Pivot, 枢轴量# f5 G* X4 y* f, g- c: U( T, p
Planar, 平坦
' _. I8 E3 i- y7 I4 t% dPlanar assumption, 平面的假设9 r0 I) D F$ U3 q% D' P
PLANCARDS, 生成试验的计划卡( B! L5 H% d( e' E0 r0 o/ w! M6 l
Point estimation, 点估计* A/ E# C1 y& j0 U
Poisson distribution, 泊松分布( I* b! [0 w" e' i
Polishing, 平滑% |3 @/ `# }$ h& c x; C6 W6 C
Polled standard deviation, 合并标准差! X& m8 ]- Y' z3 d7 t
Polled variance, 合并方差
* Z1 }! W7 o$ s/ d) D6 S/ OPolygon, 多边图7 r! Q6 g. \( f
Polynomial, 多项式
! X2 ?5 Y8 b+ O' H4 x# i; q: U7 u' w' aPolynomial curve, 多项式曲线7 y$ ^! u% I% V) C. {/ }8 t
Population, 总体
$ c! w- r4 }% ~. W. Z# yPopulation attributable risk, 人群归因危险度! J/ S1 J, G0 l' Y4 {. v0 X
Positive correlation, 正相关+ R' F, o' L \8 E5 ?. |
Positively skewed, 正偏
0 E3 L; A% l% n' d# z+ v G- A3 gPosterior distribution, 后验分布
+ m: o1 A4 b( T' q# n' H6 \Power of a test, 检验效能0 l3 u! P3 f. l- U* i- _. O5 X
Precision, 精密度
( w: [# ]# m/ {4 h. `/ \7 `# [, GPredicted value, 预测值
0 b" F! w3 o& { G+ s! cPreliminary analysis, 预备性分析
1 v$ _6 U3 B. z* }( B, mPrincipal component analysis, 主成分分析! a* v% O# r1 q' Q7 B* d1 j
Prior distribution, 先验分布
# R: F% g5 j' m4 LPrior probability, 先验概率
8 h" X% u! J" \: F: _Probabilistic model, 概率模型
9 l& D3 [( o8 k6 t @8 _probability, 概率 o" C) w7 R7 u
Probability density, 概率密度
* n8 P) \4 A4 V0 ? q L6 LProduct moment, 乘积矩/协方差
. u9 L1 e- q* MProfile trace, 截面迹图) J+ E6 c L0 _# U: k# R
Proportion, 比/构成比, U/ P! H7 }2 J* L
Proportion allocation in stratified random sampling, 按比例分层随机抽样
/ e8 R" U( o+ q1 }# `Proportionate, 成比例( ^& B+ H8 u: C% h# k. @( Z
Proportionate sub-class numbers, 成比例次级组含量
1 o; q9 J. V1 |8 iProspective study, 前瞻性调查
* z- n3 G$ S$ a% x% v1 {Proximities, 亲近性 v0 ^0 j _2 O. |9 M( S
Pseudo F test, 近似F检验# ^" u# h; J! S) D/ h7 J
Pseudo model, 近似模型
0 F. R3 Q8 n* l7 D% ~Pseudosigma, 伪标准差
8 k& t, S8 T$ ~: z/ T/ x+ tPurposive sampling, 有目的抽样
4 L: u/ P! `* N! o$ E7 pQR decomposition, QR分解
5 c( }; Z) y! B4 Q3 ?9 BQuadratic approximation, 二次近似
3 M8 G0 u0 l/ o/ y cQualitative classification, 属性分类
9 z, Z# W9 D$ T8 p4 J4 L0 E5 A- PQualitative method, 定性方法: E% Y# A8 L! x+ z: R* h P2 Z
Quantile-quantile plot, 分位数-分位数图/Q-Q图
% Z$ h' G9 {6 F1 k7 yQuantitative analysis, 定量分析* `7 |" Q! s, x0 P. b7 k
Quartile, 四分位数
) u3 c- [0 D( q2 T) ~9 w' q# sQuick Cluster, 快速聚类
# ^) V8 x0 }+ @, k' HRadix sort, 基数排序
- X6 N9 F" N/ \ K4 x3 bRandom allocation, 随机化分组* l. h8 W0 w8 f; t/ x6 W" I
Random blocks design, 随机区组设计7 E4 e+ j6 _( X. Z$ m
Random event, 随机事件
. v3 m6 I0 \( |1 |* Z4 lRandomization, 随机化
' z& x6 V- G0 [. m% T' X8 n& \) `Range, 极差/全距
3 E- m5 h# _* L6 H+ h" Y/ I7 g& n4 Z! ]: QRank correlation, 等级相关 b5 n( g3 C; W4 a$ F
Rank sum test, 秩和检验9 `8 Z- N2 ?* ?1 m6 l; X( S/ B
Rank test, 秩检验8 ~& ?% b# ]& t0 ]* {. P
Ranked data, 等级资料
, `9 G( V% P0 yRate, 比率% ]1 x3 n6 _6 G y3 d9 s
Ratio, 比例2 ?- }( r7 v1 ]$ {
Raw data, 原始资料2 w* a. H, z8 y) \2 ~3 n
Raw residual, 原始残差" A. o& o( i) Q2 n2 q
Rayleigh's test, 雷氏检验
5 _1 U, d0 _. v# k7 FRayleigh's Z, 雷氏Z值
2 C$ e$ g6 {& ?& p6 Q7 R4 qReciprocal, 倒数
% u4 Q8 ^* X F; w Q7 \Reciprocal transformation, 倒数变换- y( N# y0 @! X$ c3 S
Recording, 记录
; j" @9 c4 Q }4 r9 DRedescending estimators, 回降估计量
' _( D( D! }5 ]. Q4 g3 v* C+ rReducing dimensions, 降维- p' E1 q! \9 ?$ s: @6 ~
Re-expression, 重新表达
- o/ H7 Z+ O! V8 W) l, h5 [& GReference set, 标准组
! W( z' u& I( @) T+ R( U) M6 iRegion of acceptance, 接受域
Y% O2 i. v0 jRegression coefficient, 回归系数
3 z0 i; D1 G1 [) [$ R0 URegression sum of square, 回归平方和
- ?! l' z a U! q! `. u; CRejection point, 拒绝点% B: |9 f( q( o9 e# L) C+ v( P
Relative dispersion, 相对离散度
4 h' u* O1 C m( Y0 G- m; ~7 o( [9 wRelative number, 相对数- Q$ i$ O: g, f
Reliability, 可靠性: s7 J; N- `6 n) ]
Reparametrization, 重新设置参数& G# w5 C) s N- ^8 `
Replication, 重复& |' w, ?7 Y. r! h; N) l. X# x
Report Summaries, 报告摘要9 _6 d$ k2 |4 I9 e+ F
Residual sum of square, 剩余平方和
! p, b9 |( Q7 N: i" k! SResistance, 耐抗性0 a' ~, v5 z Y! g- [8 k# ?9 ^5 E
Resistant line, 耐抗线
( N. K1 U" x7 ^2 {4 J; fResistant technique, 耐抗技术 C I% t9 @5 N' a6 n& J
R-estimator of location, 位置R估计量
6 b8 E4 Q, q) T+ U& F5 hR-estimator of scale, 尺度R估计量
1 G2 z, G; Y* | q9 K. A3 h' ARetrospective study, 回顾性调查0 Y9 u1 c5 U: m8 }
Ridge trace, 岭迹4 ~+ i1 Y9 i& g+ |7 N, g( ~
Ridit analysis, Ridit分析' ?1 N2 r( N h7 C
Rotation, 旋转
& m* q" ]" ~# k* I# Z5 |% f+ V0 TRounding, 舍入4 p0 Z6 B! U; W3 l# X. q5 w+ N4 x6 W
Row, 行: M' r2 \/ I# S# D7 F& l: y
Row effects, 行效应
3 @0 {6 A7 X4 kRow factor, 行因素8 v7 m; ~7 y, L$ f; i
RXC table, RXC表8 e B) W" A9 C
Sample, 样本' c, b" C# a8 p$ I4 ~& q
Sample regression coefficient, 样本回归系数% x: I/ ~) F k" l& N
Sample size, 样本量0 E$ a* f, R# [9 P y) d. p: T
Sample standard deviation, 样本标准差
9 | l' [2 O9 i" T' C9 |" OSampling error, 抽样误差
2 g0 A s1 T9 ]1 U; @( {SAS(Statistical analysis system ), SAS统计软件包$ I1 P, `9 ~" E5 Z6 Q
Scale, 尺度/量表7 I9 m! Y) ~$ H' m" ]( T
Scatter diagram, 散点图1 Z! s; _( O: G- c% ?
Schematic plot, 示意图/简图' C. o, h" H* u1 [
Score test, 计分检验
4 T' k+ B [, C! \+ K/ N; CScreening, 筛检0 J* _8 d5 b8 \' l8 {1 V% l- |; s
SEASON, 季节分析 6 r7 A: [1 u- x4 c+ B
Second derivative, 二阶导数
. s) `$ r; D0 f: t+ \: F" q( A) A: uSecond principal component, 第二主成分
5 D. U/ e/ b' q7 c b! |( vSEM (Structural equation modeling), 结构化方程模型
4 L' ^! v, g. B$ b: x7 c9 VSemi-logarithmic graph, 半对数图" J I) w- T8 J7 J7 r) v6 H
Semi-logarithmic paper, 半对数格纸" r) y! p. C: Z+ H
Sensitivity curve, 敏感度曲线5 h4 c9 M6 |5 _8 D# I- w' U
Sequential analysis, 贯序分析
; n$ E+ \* S% y8 Z7 rSequential data set, 顺序数据集
' U1 X4 V7 {! k, {! iSequential design, 贯序设计7 d2 U) A7 y5 _7 x n3 A" o
Sequential method, 贯序法
' Y* X. o) b3 }. NSequential test, 贯序检验法( Y% `3 v# ^# l" d
Serial tests, 系列试验/ `& S" D- O. h( |% P
Short-cut method, 简捷法
! T% i& {7 r0 @. N& T9 U n8 RSigmoid curve, S形曲线 l8 d) [; C) T( d0 T+ M D
Sign function, 正负号函数8 j* E5 r5 I: N; g
Sign test, 符号检验8 k& i9 [) E* L5 B1 l' h' q
Signed rank, 符号秩
2 I& H8 Z# e1 }3 y" @ v4 J! gSignificance test, 显著性检验
: U6 A+ J0 d) I4 m% l( c: uSignificant figure, 有效数字
" k( \- f: E- gSimple cluster sampling, 简单整群抽样' h' g- }+ Z0 H3 S+ q0 b5 Y% O
Simple correlation, 简单相关
. p1 {% s6 @7 ~Simple random sampling, 简单随机抽样1 h0 @! P) o9 _$ @
Simple regression, 简单回归
- U% p, f9 I- v+ ~0 Hsimple table, 简单表8 I( i* k$ Q/ e* X9 P5 R8 L7 {
Sine estimator, 正弦估计量 Q6 d5 ^, }5 C% w
Single-valued estimate, 单值估计
5 t: r" X4 s9 j4 [" ]Singular matrix, 奇异矩阵
* O- }2 {. m0 wSkewed distribution, 偏斜分布$ n7 [ c* I3 C. l
Skewness, 偏度
4 g S* x' z0 U2 j/ _. V& [Slash distribution, 斜线分布+ N4 @, z+ X& B# Z8 x
Slope, 斜率7 e# G1 ]* I# |. D$ I+ k
Smirnov test, 斯米尔诺夫检验! Z3 A! L1 ]! j
Source of variation, 变异来源. u& j. t. i0 P: K, W( y- F
Spearman rank correlation, 斯皮尔曼等级相关4 R3 z* {5 e- i: n2 G. A0 V
Specific factor, 特殊因子6 M+ L5 F3 j, r! I
Specific factor variance, 特殊因子方差& I# e8 a' V( h7 S e- ^
Spectra , 频谱
0 \3 @& b. d( |. u' M( w6 I5 QSpherical distribution, 球型正态分布3 c# J, I# A; V$ b0 Y3 `* i! ?
Spread, 展布
9 {' X5 B: X5 T4 v1 eSPSS(Statistical package for the social science), SPSS统计软件包" Z5 n% f/ c* L& T8 T& Q
Spurious correlation, 假性相关; N$ C; H; p. C) y
Square root transformation, 平方根变换
: b) X, F7 A- M$ z- w0 c, PStabilizing variance, 稳定方差# ~% Z& t, z, _8 \) Q
Standard deviation, 标准差+ O7 R6 ^- i& ]% G- r7 c1 p
Standard error, 标准误
/ M1 N1 v% s% z% [2 cStandard error of difference, 差别的标准误
$ ]6 E3 a# z! } D QStandard error of estimate, 标准估计误差0 [* Y% S9 b& b- w. @% e$ ^
Standard error of rate, 率的标准误, D2 w* n" P9 h) |% k# @
Standard normal distribution, 标准正态分布" W2 q/ w2 R& n2 J6 [
Standardization, 标准化- j5 ]! l8 S' G6 \
Starting value, 起始值8 M9 A/ P: w. a/ P/ x
Statistic, 统计量2 f& R v0 q0 M- Z; h
Statistical control, 统计控制
7 E3 |7 N& \/ |7 T$ o1 IStatistical graph, 统计图# U. c! v& F6 b! E- b4 Y. d
Statistical inference, 统计推断% l. {( e9 Q) W+ T' W5 O1 l! w
Statistical table, 统计表/ C5 U# a, e% P/ a5 ?6 V$ S% ]
Steepest descent, 最速下降法# u- k8 f* ~( V+ r: R) S$ Q1 x# g& q) B
Stem and leaf display, 茎叶图' K4 [0 N7 H1 |
Step factor, 步长因子
/ D) U3 b" Q' M4 e7 BStepwise regression, 逐步回归
3 `) |8 n: e+ C6 LStorage, 存3 _. L p# A4 L- k1 H$ c
Strata, 层（复数）$ n+ g9 _% D: @9 W
Stratified sampling, 分层抽样 v; c# E+ X4 ^$ w
Stratified sampling, 分层抽样) T8 t* n8 o) @8 d4 T8 Q( ?) @
Strength, 强度
, o" E( z# v% uStringency, 严密性. U J1 v, \" H' c0 k
Structural relationship, 结构关系/ a6 S1 v6 h, ^5 a6 r+ _
Studentized residual, 学生化残差/t化残差8 p5 ? M% O6 h$ k: g
Sub-class numbers, 次级组含量
) s( A" `& G6 N6 v4 I; VSubdividing, 分割' _! @$ Z H+ x4 g( Y! k4 l
Sufficient statistic, 充分统计量
% x( T0 u) {1 h" ^0 M" cSum of products, 积和3 @; G0 @2 o! T3 {1 i/ I0 J
Sum of squares, 离差平方和9 p+ C5 h- Q& T8 ?
Sum of squares about regression, 回归平方和
y$ w2 G9 E4 r4 \) P2 b% LSum of squares between groups, 组间平方和
2 J( F- @* a& V! m% s) `* V0 BSum of squares of partial regression, 偏回归平方和0 ?0 ]* N: ]9 b* q3 O' h
Sure event, 必然事件
' Z* f, Z8 Z2 l$ X3 \; `Survey, 调查
/ _& z- w8 ?( V* L% PSurvival, 生存分析- n1 X# \8 I: {9 q$ a
Survival rate, 生存率
- Q! Y3 y o" d" G& L( l7 aSuspended root gram, 悬吊根图! s: @- j& @1 e1 k, a
Symmetry, 对称
& p' c7 L, r- PSystematic error, 系统误差
y; {$ M8 x: Z2 H+ JSystematic sampling, 系统抽样
5 X4 h5 A3 w. ?Tags, 标签- ?3 J, u7 | W) Q( M
Tail area, 尾部面积" K$ }& @7 ?0 q, E% @9 F) o& r0 [/ L
Tail length, 尾长. h& a4 g1 D) T/ Y( p
Tail weight, 尾重
, D% f @+ u% R2 sTangent line, 切线
2 Y1 K7 ?% [7 t2 E; cTarget distribution, 目标分布$ K6 F8 D$ l3 a5 y0 x
Taylor series, 泰勒级数7 C, i4 ^& J* R: w3 q0 x0 U
Tendency of dispersion, 离散趋势
/ Y# i# \! x+ e. z. [0 hTesting of hypotheses, 假设检验
' I C# y3 G. \: @, `& e: S4 \* VTheoretical frequency, 理论频数7 F& }* _2 c- g4 v( |, ]
Time series, 时间序列
7 C0 p6 M1 n; n7 cTolerance interval, 容忍区间, G( O- n6 l! o& O6 v6 z/ ~* ^
Tolerance lower limit, 容忍下限9 i, Y5 e4 I7 J/ p
Tolerance upper limit, 容忍上限
. { t3 f3 f e1 r! ~. fTorsion, 扰率
! b( u: O6 |% S0 [/ T9 STotal sum of square, 总平方和
' r0 `9 c1 K" C! V `3 lTotal variation, 总变异: r' B& M/ V9 ~* A
Transformation, 转换
2 S6 Y. p! P% M- |4 t2 C/ M# ~2 c9 eTreatment, 处理$ E3 C% c" @' ?& ?
Trend, 趋势
5 s% M* v# K) c- M4 i5 L4 W) \0 |Trend of percentage, 百分比趋势
% q. ^, I t5 X4 \( P5 k7 dTrial, 试验' i0 T( d, I: C; f7 i+ v x" v
Trial and error method, 试错法
7 e; W% W5 Z1 J( j1 t# f, cTuning constant, 细调常数) J1 i1 k, M8 B
Two sided test, 双向检验
1 y0 y7 {$ X" }4 V8 WTwo-stage least squares, 二阶最小平方7 ]: [3 Y# ^6 Q
Two-stage sampling, 二阶段抽样+ A$ H* C; H- r% D
Two-tailed test, 双侧检验3 N! M3 x& m3 z
Two-way analysis of variance, 双因素方差分析
; p6 L* l2 [0 LTwo-way table, 双向表2 d* T: y, ?; L j$ d& e
Type I error, 一类错误/α错误
1 u: f e3 X0 m% o7 P1 H3 T9 l4 rType II error, 二类错误/β错误1 t5 F' G4 P* N$ R, O2 d# T
UMVU, 方差一致最小无偏估计简称
! I- M4 f2 ], g6 Z1 N* M+ bUnbiased estimate, 无偏估计
' X0 |7 r/ }' ]Unconstrained nonlinear regression , 无约束非线性回归& h9 D1 Y: n: p. |: v
Unequal subclass number, 不等次级组含量
# U' F6 x! u! [/ F3 |% Z uUngrouped data, 不分组资料' e5 w: e/ J1 U V
Uniform coordinate, 均匀坐标8 B+ e6 E( Y; l6 U# ?# ^- @' f' A
Uniform distribution, 均匀分布
: a( ^' A/ ~9 V/ t" f* w4 J4 w& yUniformly minimum variance unbiased estimate, 方差一致最小无偏估计
; @) a/ T% G* d1 ?! NUnit, 单元/ ?1 ]4 c4 u3 ~/ f/ y
Unordered categories, 无序分类
2 J# n$ G1 l+ t1 j @/ x; _& pUpper limit, 上限
/ k9 L6 e, h" w" r: A4 AUpward rank, 升秩
9 B- d+ n: y9 F- c. IVague concept, 模糊概念
- [/ Z# r) {, _: RValidity, 有效性0 M8 a* x4 P3 S' t" J4 r7 A9 b
VARCOMP (Variance component estimation), 方差元素估计0 Q9 P# N7 @6 u
Variability, 变异性) r! Z# Z0 h) Y: ^- a: C) J
Variable, 变量' D; i% H) g n0 A# j& E
Variance, 方差
( M$ G2 b7 v+ W/ m3 u; o- z# g$ e& g xVariation, 变异# n! U- ?4 W: h0 |( z" z( M
Varimax orthogonal rotation, 方差最大正交旋转% I0 ^& l7 S: j
Volume of distribution, 容积9 U* U% c7 C: p% y$ f3 e
W test, W检验
5 a) A% f" [. P7 x$ pWeibull distribution, 威布尔分布
6 Q/ ~6 n! u {2 F2 e5 B1 {; {Weight, 权数
: V+ D/ P% K4 K, ?' ^7 I% k- Z# \Weighted Chi-square test, 加权卡方检验/Cochran检验
7 d( u, T/ C1 s1 H: G ~Weighted linear regression method, 加权直线回归
2 x" C$ u8 X- }% n# H1 RWeighted mean, 加权平均数
4 h, ]3 U/ k: u: |" eWeighted mean square, 加权平均方差
" u# `$ W; U) Q+ e4 J' SWeighted sum of square, 加权平方和" Q b8 X' i9 d; o8 m! r! E; Y0 k
Weighting coefficient, 权重系数
+ z! x4 t" d$ ?7 Q0 KWeighting method, 加权法
) D6 @% j( ~1 n/ bW-estimation, W估计量$ c2 Q# U9 j1 v8 T
W-estimation of location, 位置W估计量* w1 _! l7 o2 i+ S v3 y
Width, 宽度
7 ^; }; a- i! rWilcoxon paired test, 威斯康星配对法/配对符号秩和检验2 R/ ~% c' w7 h
Wild point, 野点/狂点
- I) m; ^# G# N x2 Q% \Wild value, 野值/狂值
+ W9 N( Y `+ Q: i( ~Winsorized mean, 缩尾均值$ @1 F! [ q" X7 l
Withdraw, 失访
" e$ A3 _6 I6 X9 n+ L3 h& |6 NYouden's index, 尤登指数
, R$ _) |* {4 Y5 }1 XZ test, Z检验
8 \3 W6 Y- s1 ^ X* PZero correlation, 零相关
1 x( }. v7 j1 RZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
