|
|
Absolute deviation, 绝对离差4 i( I$ l; y5 I# W7 x
Absolute number, 绝对数9 W$ ^, _; A; \; D* F: `; |
Absolute residuals, 绝对残差, c- ?# I' l/ D" f
Acceleration array, 加速度立体阵
+ _$ Y7 A. u) i5 k& r; o" [Acceleration in an arbitrary direction, 任意方向上的加速度
; k8 y" Q; b, p NAcceleration normal, 法向加速度) m0 x. y7 R3 Z4 ~: V
Acceleration space dimension, 加速度空间的维数 i6 P0 ~0 o0 _4 N
Acceleration tangential, 切向加速度
. _6 i* N5 e2 s" \2 b* [Acceleration vector, 加速度向量
7 c! [6 [7 V% n$ \7 KAcceptable hypothesis, 可接受假设3 y0 o& Q! w1 ^$ _
Accumulation, 累积& F$ Y9 K) u8 A
Accuracy, 准确度0 U7 B5 Z4 s" f% k, R
Actual frequency, 实际频数! G3 o3 g; A2 J( Z" a, } J
Adaptive estimator, 自适应估计量& m6 B9 I: o5 q; O& S+ ]! h5 ]8 U
Addition, 相加' e- [" d: x$ P' R7 C
Addition theorem, 加法定理0 g' o) g5 b7 _( b! c$ b. x
Additivity, 可加性5 w/ H9 ^* ~% G5 T1 I! L9 N
Adjusted rate, 调整率
- Z' g: p- r' [) v- GAdjusted value, 校正值
* l& m3 r3 f1 W1 \' MAdmissible error, 容许误差
/ P- P$ x6 H: ]- M( s, J' EAggregation, 聚集性5 }4 ]. _$ U! c1 g6 ?1 ?# {! y
Alternative hypothesis, 备择假设6 M' P* b/ w) {8 F; V2 B9 x
Among groups, 组间/ t6 ?! L9 C8 T; ~* z" O" R
Amounts, 总量
% ]2 T' x4 P5 ]6 jAnalysis of correlation, 相关分析
4 m: l E d% J( Q# vAnalysis of covariance, 协方差分析
/ t, ?9 H. O* t" ]* Z6 C. \) z" k% I6 ZAnalysis of regression, 回归分析9 k2 e3 u& U6 h4 X+ S8 S) k z
Analysis of time series, 时间序列分析( M n3 f. B" i0 G7 w4 I: c
Analysis of variance, 方差分析
' j5 J; W. M; l/ }( _& HAngular transformation, 角转换# r! R- V: ] v
ANOVA （analysis of variance）, 方差分析% i+ G$ d; V, T
ANOVA Models, 方差分析模型
( I% m' N* Y4 ]. w% ]- d& lArcing, 弧/弧旋
9 p! i2 s6 i( _1 N9 u# A4 Q2 U3 FArcsine transformation, 反正弦变换
8 {- w s% I9 d3 J, h" M& g) qArea under the curve, 曲线面积
7 {& ~; E# Y! R9 `! `! H/ mAREG , 评估从一个时间点到下一个时间点回归相关时的误差
" r* _$ b" j) W) e2 j6 Z3 |6 c0 ~ARIMA, 季节和非季节性单变量模型的极大似然估计 # g/ o) P; Y. m B
Arithmetic grid paper, 算术格纸. {0 B9 r$ a' h( x$ d4 F
Arithmetic mean, 算术平均数: j+ L3 a: L1 a; I% O
Arrhenius relation, 艾恩尼斯关系
7 b1 J- P4 V8 k7 n$ R+ UAssessing fit, 拟合的评估
' B! d( q$ a9 GAssociative laws, 结合律
. J; F# q+ f9 _1 Q8 G# s/ WAsymmetric distribution, 非对称分布
7 x5 y& z) Y+ Y+ L, g6 TAsymptotic bias, 渐近偏倚 P0 `. l% N; m; j, d
Asymptotic efficiency, 渐近效率 _' ]( V( q& E+ |
Asymptotic variance, 渐近方差
- ]7 W' x4 d, W P' @. Y+ NAttributable risk, 归因危险度
8 ?5 a( @ K1 o5 y( ?9 u8 HAttribute data, 属性资料
d2 B1 x2 O- N3 r/ E; Z# FAttribution, 属性- ~ @2 a$ D5 }$ F9 k( m
Autocorrelation, 自相关! E' o% R0 j. _- K8 i) g+ T1 Q
Autocorrelation of residuals, 残差的自相关
4 h( ^8 A7 t) _ f" k9 {8 B# n2 hAverage, 平均数
0 ]& \0 g8 u) e' u8 K4 d7 E7 WAverage confidence interval length, 平均置信区间长度& z: o' A" A+ B, ]
Average growth rate, 平均增长率
/ J2 D. r2 T. {: |" ^Bar chart, 条形图+ v( n* A: M" |
Bar graph, 条形图
5 Z) o& Z; @$ a* l1 g/ ]Base period, 基期
6 L0 a4 S% T- E, @* bBayes' theorem , Bayes定理0 C' \! J3 k7 L9 |) d7 c
Bell-shaped curve, 钟形曲线
1 `' c$ b& j+ H! x7 DBernoulli distribution, 伯努力分布
0 d3 l* x* C. H8 \' x3 \; ^Best-trim estimator, 最好切尾估计量
1 J" O# Q3 B9 \- E8 T4 S7 ]# {7 ^' |Bias, 偏性* e( [' Q2 X; Q
Binary logistic regression, 二元逻辑斯蒂回归
5 `, |6 @) R' M, Z# nBinomial distribution, 二项分布" D4 h$ J1 [7 R4 i h" s; Z) C
Bisquare, 双平方
% u) U; \1 _/ E3 `Bivariate Correlate, 二变量相关1 `9 [$ g1 d" K: _
Bivariate normal distribution, 双变量正态分布4 T% d7 U8 j- c/ g3 r, X9 u, `+ C
Bivariate normal population, 双变量正态总体& K& p# d! l7 P: d
Biweight interval, 双权区间. R4 M# P S. v: F& @) ?
Biweight M-estimator, 双权M估计量
! q% K8 o O" ]6 z5 b% l: ^0 dBlock, 区组/配伍组5 @$ I4 {0 N1 e: U7 W" l3 ^0 q9 b
BMDP(Biomedical computer programs), BMDP统计软件包
# y. [( J% @8 w' Y" g! V# nBoxplots, 箱线图/箱尾图
" a4 y9 |+ w0 `Breakdown bound, 崩溃界/崩溃点$ _% U$ l+ J3 _0 U- o& o6 j
Canonical correlation, 典型相关
5 a8 [/ `; N2 H; Z5 _- m& ?Caption, 纵标目
5 a8 B; v; b& H/ j1 YCase-control study, 病例对照研究
; v* N. W# p! a: [8 L& E, |Categorical variable, 分类变量6 n3 T- N$ v7 b2 C6 y
Catenary, 悬链线
- { E( S3 g/ YCauchy distribution, 柯西分布
; |; m4 G9 u% ]* E" A3 @Cause-and-effect relationship, 因果关系5 N+ p: J" P1 i6 H
Cell, 单元
) W, c& Q1 ?. ^. [Censoring, 终检1 t# y; l1 b! T$ Z9 {4 F& @
Center of symmetry, 对称中心
; U9 b, |5 d; Y P T- yCentering and scaling, 中心化和定标
( H) i3 E& J0 ?- Q5 X! }0 S7 BCentral tendency, 集中趋势2 z& P# E" I3 [* ~# Z1 a5 P
Central value, 中心值* H; q' Z8 n" B# r' Z4 O2 ~
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
' X$ u# T6 v( O- f6 v* s0 AChance, 机遇 J: U* f r, `, D0 P4 f
Chance error, 随机误差, ]/ {" s. |+ f- m! V- W: C
Chance variable, 随机变量% @" \+ K4 O3 P% z& d
Characteristic equation, 特征方程# Z/ X7 x. {/ |" S6 F# P, W
Characteristic root, 特征根/ `" Y( g" W/ }1 Y( d
Characteristic vector, 特征向量9 W+ @' j% N! D W% ?* h# P! Y
Chebshev criterion of fit, 拟合的切比雪夫准则0 O( F9 f; a; C% G! a% M
Chernoff faces, 切尔诺夫脸谱图# c* N$ S4 y6 X
Chi-square test, 卡方检验/χ2检验
$ [& t& B& C4 q% R, ?5 {Choleskey decomposition, 乔洛斯基分解) {7 u1 y+ @& v L
Circle chart, 圆图 1 } Z; a _ k4 l8 v8 s' t
Class interval, 组距* @8 H0 T# u, h0 O6 h7 i! _
Class mid-value, 组中值3 h% S" s* b# N4 W5 ~ w2 l
Class upper limit, 组上限! I% N, r" F$ g4 [& _
Classified variable, 分类变量
: P! ~* e2 a, v& l) CCluster analysis, 聚类分析2 J: m- ?% x6 e) ?; F: D/ j
Cluster sampling, 整群抽样7 o! `, x; H6 c9 c R! E0 z' j* M8 T
Code, 代码
, s$ z: Q9 H% G0 u [( F, T1 Z: }1 fCoded data, 编码数据1 }* B v( R0 u8 h$ K
Coding, 编码8 C% X3 c/ R. r
Coefficient of contingency, 列联系数* z- S4 J" a- h* ~* v$ s f$ K9 \
Coefficient of determination, 决定系数
3 t/ u6 \& k2 ACoefficient of multiple correlation, 多重相关系数" u% T( ]' y6 G; L$ b
Coefficient of partial correlation, 偏相关系数% Z* F' v X1 x: X8 ]
Coefficient of production-moment correlation, 积差相关系数, L1 r0 j- R7 X
Coefficient of rank correlation, 等级相关系数
! F9 }& J! e& `) r% WCoefficient of regression, 回归系数
( L- F4 Z9 l8 ~9 ]* I/ pCoefficient of skewness, 偏度系数3 L% i7 F$ P$ b' H5 v y4 w
Coefficient of variation, 变异系数9 Z2 _9 ?6 K2 ^" b
Cohort study, 队列研究
. E6 Y1 S5 \( D2 K$ X' B% jColumn, 列
3 E* Y( n+ e( F2 MColumn effect, 列效应% M: ]3 P% J5 `
Column factor, 列因素
& h0 r9 a# Z9 r( X0 q% L3 MCombination pool, 合并
4 g: b% `6 e' zCombinative table, 组合表
: `" y$ p$ \, r; ~Common factor, 共性因子
" N- `9 D Y3 i. U" ?Common regression coefficient, 公共回归系数4 z- ^% a/ Q: M- U! B6 T( N
Common value, 共同值
0 a9 H( E! i5 ^3 n% B V# }Common variance, 公共方差
# ?, I) p; z3 K5 ^Common variation, 公共变异
0 P1 v$ W6 B: c$ i- ?1 rCommunality variance, 共性方差. J5 \5 t6 V; A9 |; R% V1 D5 O
Comparability, 可比性1 }# y4 \* @0 ]
Comparison of bathes, 批比较
2 o9 k% f5 u5 T2 Y; i4 K! [$ qComparison value, 比较值
- _9 J. d( a, m; \: s3 y+ d$ NCompartment model, 分部模型' ]( p: l- d1 g; @! \( C* K
Compassion, 伸缩0 j* O: b5 v! b/ \8 W# P* C. A
Complement of an event, 补事件
7 Z3 x3 ~# I" [- wComplete association, 完全正相关
S: M! C2 z$ a- {9 NComplete dissociation, 完全不相关% u0 l' C, v6 q) X
Complete statistics, 完备统计量
2 J4 U4 R3 C$ ?& U1 V; v- TCompletely randomized design, 完全随机化设计$ d2 F+ w& V {
Composite event, 联合事件
' \( m" o0 t7 _5 a* w$ n9 ?Composite events, 复合事件. E8 i1 l8 n7 J$ u
Concavity, 凹性
# v9 v* o6 x* K* v4 g! cConditional expectation, 条件期望
' Q* E3 m7 V H, yConditional likelihood, 条件似然9 M8 I S5 _2 M
Conditional probability, 条件概率! \: j: c1 w( z% l9 [
Conditionally linear, 依条件线性
. l9 {+ c6 D1 ?- B! nConfidence interval, 置信区间
3 b: o& u" B Y, k/ ~' z4 h5 G; XConfidence limit, 置信限1 ~! P1 ~' G4 S. q
Confidence lower limit, 置信下限
& v4 b) S% E" t5 FConfidence upper limit, 置信上限: h* v( Z6 j/ A- e' k
Confirmatory Factor Analysis , 验证性因子分析
& @' @/ r' S `Confirmatory research, 证实性实验研究/ T* s4 c/ U4 B7 n7 k
Confounding factor, 混杂因素
2 \0 U% X* G& z0 `# R2 w3 a4 RConjoint, 联合分析6 o0 Q; V( C. D! Z# N: k
Consistency, 相合性
# W( B) N h' sConsistency check, 一致性检验
f0 d8 Z' b+ n, e7 NConsistent asymptotically normal estimate, 相合渐近正态估计0 u; r/ r( U& Z: h0 W
Consistent estimate, 相合估计- q8 Z, b2 W% x; A; N6 C
Constrained nonlinear regression, 受约束非线性回归0 P7 I$ j7 d0 @6 {" ^
Constraint, 约束
! V, D& L1 |# Y9 wContaminated distribution, 污染分布! l" ?0 t% g, y
Contaminated Gausssian, 污染高斯分布4 `. t: R- I: U' k
Contaminated normal distribution, 污染正态分布& m! f4 M% {* a4 ~* o
Contamination, 污染 R8 V S# o" E# Y/ \3 {) _3 X. y
Contamination model, 污染模型+ }( ^! o! d+ g9 m& P0 Z
Contingency table, 列联表
# n! H3 N; U3 p QContour, 边界线
+ J6 |* ?1 M) @1 Y" AContribution rate, 贡献率
$ v/ \ E) a( x$ `! RControl, 对照
+ E: U( y% x7 @' zControlled experiments, 对照实验
5 a+ ?, C% L$ M; b$ k0 BConventional depth, 常规深度$ V9 V- w6 f9 N) k$ d7 i
Convolution, 卷积
: |2 q' x8 Y% P2 XCorrected factor, 校正因子
4 }6 P4 t' y8 ^: c- `% j7 O6 BCorrected mean, 校正均值/ m- J5 ?* }( |
Correction coefficient, 校正系数" ]( H; z& X2 U) G0 L1 R/ o& k) a
Correctness, 正确性, z$ a# v* O J% Y
Correlation coefficient, 相关系数
% H( \3 w- D5 t3 WCorrelation index, 相关指数
/ e0 s. @/ K6 hCorrespondence, 对应 C8 h- g2 [& T7 _' K+ C# z
Counting, 计数
2 ]6 @- V8 i, N) kCounts, 计数/频数
. y8 E8 L! B% L; rCovariance, 协方差
0 r* x$ @- a1 }& }$ D! u% K; vCovariant, 共变 " U6 x! b( b* B- ~% H; e; Z0 y' z
Cox Regression, Cox回归
' K6 g, a5 C+ E2 q" r5 E3 a4 GCriteria for fitting, 拟合准则
3 s; e/ `* K5 Q w v- V( lCriteria of least squares, 最小二乘准则
( T3 v7 s9 _* C! [* ECritical ratio, 临界比% R/ e3 W& s$ X) \" F9 j# O% D6 n
Critical region, 拒绝域1 E& i+ Y. \3 j/ v+ U+ e
Critical value, 临界值
5 Q1 m6 {* V2 n4 k" XCross-over design, 交叉设计, J( s# T4 _) ?
Cross-section analysis, 横断面分析
( b2 B2 o9 d3 {% `) v( fCross-section survey, 横断面调查
, n4 t1 ~- s9 ^1 K/ j3 CCrosstabs , 交叉表 5 {8 w d. A+ `1 V5 X$ D
Cross-tabulation table, 复合表" ?3 Z' Z7 j9 M. ^8 u
Cube root, 立方根
! n) x0 p; a0 @Cumulative distribution function, 分布函数
7 z2 g. M2 n8 e& }: t7 o9 zCumulative probability, 累计概率
& A4 Y! I! e3 R# Y- gCurvature, 曲率/弯曲
; W3 x5 m+ ?+ l2 p, R& D: mCurvature, 曲率$ J5 F: E, b; x( m+ X: h4 v1 T
Curve fit , 曲线拟和
1 g% [+ f( f, FCurve fitting, 曲线拟合
7 L* z+ J* ^" }' u6 t8 [' S% r! {3 ZCurvilinear regression, 曲线回归- R& h' e% k1 _) h9 O- S
Curvilinear relation, 曲线关系
9 \* q6 l- K3 q* J9 d5 ECut-and-try method, 尝试法& B; S+ X4 R( x2 w8 e
Cycle, 周期7 {/ S4 f+ C# w3 e" w W) }- \
Cyclist, 周期性5 M8 K! j& F7 _$ y, ^
D test, D检验
- R$ d! w4 e$ KData acquisition, 资料收集
- `, [( F* p5 V. F+ \& hData bank, 数据库
# x8 o3 N( l( q. D: \0 I7 [Data capacity, 数据容量! ^# x" x$ W8 _; A
Data deficiencies, 数据缺乏
% B5 k" p8 Q% `8 A: ]+ RData handling, 数据处理7 t& Z) l2 u5 x; x; F; y
Data manipulation, 数据处理1 s/ ^! u2 n- V. x& J* p& }# n
Data processing, 数据处理
- x, ~% e- @/ b* w) BData reduction, 数据缩减" W3 [6 v$ m! x. a4 q
Data set, 数据集/ y z5 G% {5 T7 d
Data sources, 数据来源
~% I* Y- B- ?9 p8 ^* fData transformation, 数据变换
9 Z. }* _8 D2 Z" D |, s7 mData validity, 数据有效性
o/ z: n, s% U" H0 {, D! tData-in, 数据输入" |9 q' U- X$ ], N$ A% U
Data-out, 数据输出
" U) h/ P' X/ P3 N7 Y- mDead time, 停滞期0 u, m9 p" o l0 G
Degree of freedom, 自由度" u) ]0 c6 l0 K; f; {& R
Degree of precision, 精密度& g8 Z1 |* [% Q' B; U; O
Degree of reliability, 可靠性程度
4 G5 f6 H& E9 C: ^Degression, 递减
6 B* b+ @+ U$ i) w1 hDensity function, 密度函数
, G) t1 Q1 ~* Q+ Y/ X& \, C yDensity of data points, 数据点的密度) `7 S% Q/ e- Q, `/ G5 M
Dependent variable, 应变量/依变量/因变量
8 ?; Q# a4 C7 S) z! L& N8 LDependent variable, 因变量
% p8 D, v! e; dDepth, 深度1 K0 R m6 Z. \& R* m/ g6 M7 Q6 B
Derivative matrix, 导数矩阵9 O3 Z* w3 `. h& }' d8 o: g
Derivative-free methods, 无导数方法8 }& Z# F9 X; ` i$ Q
Design, 设计
( i w3 h, R3 H; g+ p2 V2 d6 bDeterminacy, 确定性
1 C4 ^# m' i4 e% }. t5 d5 N4 ~Determinant, 行列式0 E% ^4 @0 i7 L6 Z1 `/ ~# c
Determinant, 决定因素$ v) _( r5 V& y( w; Z: C
Deviation, 离差
+ V; y6 [ Y& K: NDeviation from average, 离均差, j x+ D% `1 t
Diagnostic plot, 诊断图1 }' k6 G) `- `1 E2 r0 U' F8 r
Dichotomous variable, 二分变量" ~- X. Y$ A- s( E# \1 D
Differential equation, 微分方程- `+ k3 o8 p3 d T5 o; \. z! D3 G
Direct standardization, 直接标准化法2 Z. ^9 j, |- ?" X* o, e
Discrete variable, 离散型变量
( R1 }* M3 G, y$ gDISCRIMINANT, 判断 6 ^! J9 C1 ~: t0 N9 N
Discriminant analysis, 判别分析
5 u" b$ H3 W/ u4 b2 z( O) r7 HDiscriminant coefficient, 判别系数
3 @& F k8 C6 v A, |Discriminant function, 判别值
. W3 c0 b+ ^* X9 D8 HDispersion, 散布/分散度& `: j; V) C: O% P* ?
Disproportional, 不成比例的7 _) t4 V; A) _" R0 @% n+ B
Disproportionate sub-class numbers, 不成比例次级组含量1 d; n, Q* ~4 u: K$ L1 @
Distribution free, 分布无关性/免分布5 [( h- J/ H) L$ q
Distribution shape, 分布形状
: W: S& T7 f- f9 J8 ?# GDistribution-free method, 任意分布法
+ x1 G5 ?5 g" Q. f" \" T [, a. cDistributive laws, 分配律
3 }& O. _: m% k T7 pDisturbance, 随机扰动项
. t6 Y: h% \6 C. KDose response curve, 剂量反应曲线2 m5 U# \9 v$ X9 n
Double blind method, 双盲法1 T! K2 q3 [$ q6 L L% }( k
Double blind trial, 双盲试验
% d* o. W0 k$ o" {+ X" cDouble exponential distribution, 双指数分布: |; c+ y' d4 H1 K
Double logarithmic, 双对数
8 E! S$ ]( Y, g' ~' |( h3 rDownward rank, 降秩5 P7 j" [! j& P3 ^, S4 a
Dual-space plot, 对偶空间图
! k6 t, V/ R; C! X/ I* E. ]4 W2 ^3 WDUD, 无导数方法3 i6 d3 Y+ q4 p6 r
Duncan's new multiple range method, 新复极差法/Duncan新法; y6 N/ b7 S9 b! P: c4 K
Effect, 实验效应
, d9 w$ s2 _4 T9 \Eigenvalue, 特征值
! R- W1 {# _; ` E" FEigenvector, 特征向量' w) v4 u0 y$ L. }/ y
Ellipse, 椭圆7 s& A( t3 `! I7 W
Empirical distribution, 经验分布) X4 @+ N8 t: s J) q$ ] `
Empirical probability, 经验概率单位, }7 |. J b" H" y1 i I. j, i
Enumeration data, 计数资料$ P" A" L- t- N |% h
Equal sun-class number, 相等次级组含量! K" ?& P0 y# G f: D
Equally likely, 等可能0 g7 T' |/ h* ^" G: n
Equivariance, 同变性( S; f- H5 }* d& {) Q
Error, 误差/错误& P: Q! T7 M+ h* y
Error of estimate, 估计误差, T- L! Z& ?0 K$ f( d
Error type I, 第一类错误, F) ]* s4 ~- d2 {1 Q/ N
Error type II, 第二类错误8 e8 u6 d0 Y" e! G/ W
Estimand, 被估量
5 U9 R: Y' p$ c" C* s' `* ^) r" |Estimated error mean squares, 估计误差均方" K3 m7 |: j8 C+ v' U5 M* d
Estimated error sum of squares, 估计误差平方和
2 V2 }6 {( |( y) T5 D e$ U- tEuclidean distance, 欧式距离
, P; u% c3 [ ]Event, 事件2 v+ I, h2 c( H7 }. t3 {* G
Event, 事件; B; e6 Y( w/ ~& {3 r7 v) e
Exceptional data point, 异常数据点' A% h S5 F% Y
Expectation plane, 期望平面8 M4 ?9 |. g8 l9 q
Expectation surface, 期望曲面
, ^; f3 d' I& m$ N7 q2 a# y8 xExpected values, 期望值5 l3 m% q) K& P, \
Experiment, 实验9 A7 r8 \3 G( \
Experimental sampling, 试验抽样) x9 O0 I1 b9 i
Experimental unit, 试验单位; f" c: B5 x" a4 s, K" U
Explanatory variable, 说明变量
3 M+ V/ R0 }% VExploratory data analysis, 探索性数据分析
! i. a' c5 L# p Y9 e& gExplore Summarize, 探索-摘要
. t0 D9 B4 Z$ m3 C: }/ g+ T- `Exponential curve, 指数曲线
' b) k$ N- o' q# dExponential growth, 指数式增长
1 l6 j' \* \$ |/ E* |8 H' i3 v1 bEXSMOOTH, 指数平滑方法 W8 _. w- i- g: r
Extended fit, 扩充拟合
0 Q* X6 D5 w$ B, T& x7 _Extra parameter, 附加参数
3 s4 @& r4 j' tExtrapolation, 外推法
4 g' f. `/ F4 g6 w* sExtreme observation, 末端观测值! h& Y1 h; i$ \6 E+ y C) j# ~! n
Extremes, 极端值/极值
6 s, x" r! J" T5 l+ d, C' W& eF distribution, F分布# {. ?# R; h. `3 n
F test, F检验, [! X' Y8 ?, s% P/ p
Factor, 因素/因子8 Q. ]# [" |% P6 B$ h
Factor analysis, 因子分析
0 |4 P- ?% w5 @; K; rFactor Analysis, 因子分析
8 a( O w! P7 D. v, _" yFactor score, 因子得分
) `" Z3 Y0 H% FFactorial, 阶乘
5 W! _* z1 T4 M. W6 Z, fFactorial design, 析因试验设计: ]# F3 I C( p0 j1 i
False negative, 假阴性4 E$ \6 J8 W& p
False negative error, 假阴性错误
" [! X; ~ b0 K6 M5 M' e6 [Family of distributions, 分布族
1 h' p; |0 f6 L% T$ T0 NFamily of estimators, 估计量族
8 i, t3 J' }/ ?( f5 Y# Z9 MFanning, 扇面5 l( y* P w0 h* K9 V7 n+ P
Fatality rate, 病死率1 y& u6 W0 s- s! x3 H/ O( G3 _
Field investigation, 现场调查
+ x1 Z. U7 ~! N% i+ jField survey, 现场调查
5 P) B! J/ t1 w6 wFinite population, 有限总体
9 I1 P( L6 T0 XFinite-sample, 有限样本+ k5 e ^9 W9 o9 F m }* r
First derivative, 一阶导数3 T* C4 d4 S$ a$ v" i$ ^
First principal component, 第一主成分
, B, K5 D7 F" W$ }2 \First quartile, 第一四分位数6 B, w- {: h0 M) j
Fisher information, 费雪信息量' [: J; g% A2 R+ @5 H% V' N' \4 j
Fitted value, 拟合值* w) m- E) e( v: d7 F. `
Fitting a curve, 曲线拟合7 ^6 f& {; \# @' Y' @
Fixed base, 定基
0 a2 t! Y7 I' g# F( _) @% w/ iFluctuation, 随机起伏
. Z; P/ p% ?" A BForecast, 预测, B" O R2 h2 c# C0 @% M7 R
Four fold table, 四格表
! ?1 V3 B7 @3 R& P; B5 G9 z3 h2 \Fourth, 四分点
5 Y1 ~9 v$ D# p! D4 XFraction blow, 左侧比率
" {) g+ r! H" J# fFractional error, 相对误差) F4 C6 ~7 h- T4 u) N
Frequency, 频率* E, z _+ z7 Q1 P
Frequency polygon, 频数多边图
+ g& H! L, @# t8 L7 a8 jFrontier point, 界限点' I! I O* g( E. Q6 w+ R" Y9 F
Function relationship, 泛函关系
8 l: |' t! n* L5 W8 xGamma distribution, 伽玛分布
4 j* X+ E: c8 v6 x' Y# r; h# MGauss increment, 高斯增量1 i! F: _$ a2 y4 u( R2 i8 P
Gaussian distribution, 高斯分布/正态分布
9 n0 _8 o! P1 G8 D8 vGauss-Newton increment, 高斯-牛顿增量
# n+ {% G# Y% tGeneral census, 全面普查) P, H" k9 k0 P1 g3 W7 L+ N
GENLOG (Generalized liner models), 广义线性模型
I2 @: [7 o3 Z2 _3 VGeometric mean, 几何平均数3 Q3 s- i( Q0 ]$ H- s
Gini's mean difference, 基尼均差
* D7 X3 w# T# XGLM (General liner models), 一般线性模型
}9 n; {* `, {* G' X t9 Q& z) kGoodness of fit, 拟和优度/配合度4 v, B+ T) O. u# Q4 a$ p- c7 T/ K# U
Gradient of determinant, 行列式的梯度/ ?& s# [1 X1 f9 B
Graeco-Latin square, 希腊拉丁方
$ i& H- f8 |, R, ~3 [2 e4 dGrand mean, 总均值, o8 I7 s* M0 K. q0 \
Gross errors, 重大错误1 L: G9 z& U4 x: e" r1 [; a8 F
Gross-error sensitivity, 大错敏感度; Y7 ]# x1 U: q
Group averages, 分组平均4 w1 w" E9 b+ ?# o% d& l
Grouped data, 分组资料: u5 k3 v. w/ i; N- \* Y' r# B6 ^
Guessed mean, 假定平均数, q( i& l3 J# W1 X
Half-life, 半衰期
, Z* |- y2 ~6 ~* \Hampel M-estimators, 汉佩尔M估计量& c: Z3 i" Q; J& n4 C! R
Happenstance, 偶然事件7 Q) }. a7 b6 k% G6 g+ W7 F2 q; P
Harmonic mean, 调和均数
1 q' U) q% F* Z) p& VHazard function, 风险均数
% E/ ?3 r6 j' h5 L1 T1 UHazard rate, 风险率
3 _( T. y3 J8 ]9 d- h0 G+ Z. c9 SHeading, 标目
( X4 i" w1 \1 Q6 g, V0 RHeavy-tailed distribution, 重尾分布
+ t, e9 W5 G. }, A1 ~" ~' C6 g8 qHessian array, 海森立体阵
: P9 \) f1 V4 O, qHeterogeneity, 不同质! ] v8 Y. q- m {) K1 w4 W3 w
Heterogeneity of variance, 方差不齐 $ j' |0 d# q1 ^. ]
Hierarchical classification, 组内分组8 p: ^& V7 h9 U3 L' [
Hierarchical clustering method, 系统聚类法& q/ K. P; ]$ b! v( {+ e
High-leverage point, 高杠杆率点$ d5 s- `/ b4 Q5 g; k4 |
HILOGLINEAR, 多维列联表的层次对数线性模型
# S5 z/ i; h5 T0 c1 f/ OHinge, 折叶点
1 G. z( m$ [7 @8 v: X- \6 \& sHistogram, 直方图1 O" [* V0 S1 |! c9 F& a+ r
Historical cohort study, 历史性队列研究 , ]9 e6 Y. i) k' L- Q! J
Holes, 空洞! S; w% b: w2 s; W# [. N; N9 m1 o8 s
HOMALS, 多重响应分析+ Q0 m( O1 ?, `% A2 k
Homogeneity of variance, 方差齐性
! o! A3 K5 ^- p2 j/ g6 u! DHomogeneity test, 齐性检验
/ j* G/ Y3 q+ r0 z& e# R& pHuber M-estimators, 休伯M估计量
* k0 v8 _% G8 k8 UHyperbola, 双曲线. w8 {7 {) G* X, y# p
Hypothesis testing, 假设检验
2 H0 t: g: g4 }4 E1 @$ Z5 T( o# rHypothetical universe, 假设总体3 {: \: t0 Z( F b |* o, B" {" H2 {7 t
Impossible event, 不可能事件
* R4 V' h4 f: I E8 TIndependence, 独立性; _, e" B% [- D9 I- t/ B* m, \
Independent variable, 自变量- j; k7 @6 ?4 e6 y" s4 Y8 `
Index, 指标/指数
1 m3 I* t7 x/ D& f# c# v; K- KIndirect standardization, 间接标准化法
1 T/ E& D, J/ \) ?- q& u' SIndividual, 个体
( [% z, C& v8 |) C8 VInference band, 推断带
! E; a9 W9 O, v; k, PInfinite population, 无限总体
- I& a* h2 o% M$ UInfinitely great, 无穷大- y3 a9 h; `: N0 R4 J7 I
Infinitely small, 无穷小
6 a5 d, e3 l5 l! G; uInfluence curve, 影响曲线
+ W4 e8 l0 [# R3 O/ HInformation capacity, 信息容量& Q9 g h' K( C% Z" Q8 @7 V% L
Initial condition, 初始条件0 F9 j3 }; [7 r! ^% F5 Z
Initial estimate, 初始估计值
8 N! X: j2 \5 x% \8 uInitial level, 最初水平
/ g8 N2 |" r" MInteraction, 交互作用
1 o% `; s1 u1 N/ d {7 U+ T1 O$ ]9 TInteraction terms, 交互作用项
" _% d- T! J6 q: k. R. U0 ZIntercept, 截距
* a/ q6 \* Q9 \* K3 r' n6 gInterpolation, 内插法. r) V2 _! m# \+ E" D
Interquartile range, 四分位距* x3 l! p/ r; u: `) M" j d
Interval estimation, 区间估计
2 q4 J# S" h5 x: d' c) YIntervals of equal probability, 等概率区间$ J; E+ t3 q ]8 U2 T) K8 w
Intrinsic curvature, 固有曲率
, w0 D0 _4 c) HInvariance, 不变性
' F5 R" M0 [9 g: TInverse matrix, 逆矩阵- ^: v8 k' L' s1 I5 y0 A4 g- i
Inverse probability, 逆概率) f% p& q, a: C# V0 x& w4 D2 Y
Inverse sine transformation, 反正弦变换$ F5 A$ b3 w7 u9 S( u- {
Iteration, 迭代
! P- p; g! a5 b W6 PJacobian determinant, 雅可比行列式
8 b( Z: X& `+ C+ eJoint distribution function, 分布函数
' h, ^: M! `# j- |Joint probability, 联合概率
; e+ Y3 Y/ C9 M2 ], l% nJoint probability distribution, 联合概率分布2 n, S7 k' J1 f: `0 D
K means method, 逐步聚类法
* ]9 k% v D/ o# O: T* nKaplan-Meier, 评估事件的时间长度
% w" X9 v& j0 qKaplan-Merier chart, Kaplan-Merier图7 z& O" f+ o$ | R8 d E+ M/ u
Kendall's rank correlation, Kendall等级相关
, |; g# g) q' S. i( MKinetic, 动力学
% J/ \; Z+ d7 K6 z$ q1 |5 oKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
! F: v$ S: N- W' bKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验. v2 \3 t M0 [/ T
Kurtosis, 峰度; Q8 I3 {( j" e+ j7 d7 r7 M, h
Lack of fit, 失拟1 |% ~4 ~2 Y7 c
Ladder of powers, 幂阶梯
7 f3 Q9 r+ y' ~3 h' ?Lag, 滞后
+ e3 O$ b7 r$ ALarge sample, 大样本9 @$ Y7 d+ l1 ^) V# H# |
Large sample test, 大样本检验
$ ]- B& J; H: s: {1 OLatin square, 拉丁方
5 K( J. l5 X7 {4 V3 BLatin square design, 拉丁方设计. H H1 Y* ^4 m/ y
Leakage, 泄漏& @) {3 O6 P" |# e2 f0 {5 p
Least favorable configuration, 最不利构形
9 H/ a3 a0 K" H' b- L cLeast favorable distribution, 最不利分布0 q6 X' V/ r. f: K" v, H% c3 J
Least significant difference, 最小显著差法% r) C) j" B* v) h. f( i/ T
Least square method, 最小二乘法
+ ]+ `5 @0 L- ~* D/ Y5 k; ?! n6 v: ELeast-absolute-residuals estimates, 最小绝对残差估计
. k6 b6 k0 B2 hLeast-absolute-residuals fit, 最小绝对残差拟合8 v: k" l9 j' R( [; w0 h7 V& T
Least-absolute-residuals line, 最小绝对残差线
8 W5 @3 ?5 n6 _. q% e' uLegend, 图例
" M6 u# F! j- Z1 ?" B8 lL-estimator, L估计量6 v: E1 t5 w' R; J8 ]9 D
L-estimator of location, 位置L估计量
" A1 y8 @- T, n- G8 G- U# n7 LL-estimator of scale, 尺度L估计量
4 J. k* w, Z' H7 yLevel, 水平( K' a+ S1 \; u: a( x8 Z) Q
Life expectance, 预期期望寿命! ]; o. B0 o3 X- Y9 ~
Life table, 寿命表" W- S* _' m0 X1 [
Life table method, 生命表法
) C2 q* J2 e, i1 [' T& HLight-tailed distribution, 轻尾分布6 m- ?- v! [0 n$ J$ G
Likelihood function, 似然函数( \! _. e8 v( _* V7 o
Likelihood ratio, 似然比
F0 b9 p# u/ J. `: d& G% bline graph, 线图
* @- [) _$ U* a6 B+ y9 M5 OLinear correlation, 直线相关 M" D) }' o" ]( [
Linear equation, 线性方程 y2 F" W+ l" y4 V; ?
Linear programming, 线性规划
/ {5 k. w$ d: G7 D: V' U0 |Linear regression, 直线回归
/ Z4 L N5 j; A2 E3 lLinear Regression, 线性回归
% v6 F% i, P! |$ G8 e4 c( n8 N* ZLinear trend, 线性趋势* ?* w9 g3 U: o% T
Loading, 载荷
6 t9 L5 Y! Q& U2 uLocation and scale equivariance, 位置尺度同变性& k: G$ M- c9 u* a0 ? D
Location equivariance, 位置同变性
9 K& ]4 V& U7 |- Q6 TLocation invariance, 位置不变性& G, g4 s$ ~; L* \# t" z/ A) w
Location scale family, 位置尺度族
& O9 n& `' C* L5 S" I: |; xLog rank test, 时序检验 7 P) \' `0 @6 H( K" _
Logarithmic curve, 对数曲线
6 W! C4 y+ N. a$ M( cLogarithmic normal distribution, 对数正态分布
. x: N0 e/ n: ]/ L- W8 OLogarithmic scale, 对数尺度- I9 k8 i$ q2 o5 ^
Logarithmic transformation, 对数变换
- J' q8 n. Q5 A6 u- BLogic check, 逻辑检查
2 K4 D u$ I6 k( g% @5 s7 Q+ E+ }6 A0 e% MLogistic distribution, 逻辑斯特分布$ ~% o! h! a8 k R( U8 G9 J
Logit transformation, Logit转换
9 `& A8 e; G' ?LOGLINEAR, 多维列联表通用模型
# _6 ~* q1 t1 X7 S: s9 B5 eLognormal distribution, 对数正态分布
! L; P* x8 d( |% ?) \) g7 b5 jLost function, 损失函数
! B8 i1 q/ T2 S* e Z2 E" ?- C8 ^Low correlation, 低度相关
3 f e5 S. d: K% [1 W7 YLower limit, 下限1 A9 f, k, Z: v1 |2 h" I& ]
Lowest-attained variance, 最小可达方差 c0 A \. ]6 Y1 b9 q% _
LSD, 最小显著差法的简称
/ Q. v. a# x/ P: d5 iLurking variable, 潜在变量
$ q3 L1 }+ B4 t# b5 GMain effect, 主效应7 c5 _- @3 O* R3 T
Major heading, 主辞标目" W( S3 Z: Z) G5 R! _- @. a) R
Marginal density function, 边缘密度函数* J4 b# P3 w& ]5 ]& f& k
Marginal probability, 边缘概率
) Q$ s( d' n! b, q6 E+ tMarginal probability distribution, 边缘概率分布
* Z: V- v( F' F' oMatched data, 配对资料 r' k% y I" D, _- V, L; y% t- z s
Matched distribution, 匹配过分布% H" X+ Z0 A8 b _
Matching of distribution, 分布的匹配
/ h' G7 u r# | z& ZMatching of transformation, 变换的匹配8 q$ F2 } Z. ]* x
Mathematical expectation, 数学期望
6 O1 \0 P! Z9 T+ T8 B/ [Mathematical model, 数学模型% Z7 J) S. `4 x" I6 U
Maximum L-estimator, 极大极小L 估计量
4 D- B1 Z9 Z5 f0 P3 Y8 F$ i% z: yMaximum likelihood method, 最大似然法
/ y9 W) C! @' B8 P6 u" f6 PMean, 均数
3 y7 ^' |% r+ s$ B0 R; o, ZMean squares between groups, 组间均方
7 Y* h8 M h) p: }: eMean squares within group, 组内均方
6 ^. Q \: ~. g. h: F d! NMeans (Compare means), 均值-均值比较8 l- V8 i! I+ n% s8 _
Median, 中位数3 M; A5 T$ c& j0 F, s( p2 a
Median effective dose, 半数效量! {6 ]2 H, I3 A( {
Median lethal dose, 半数致死量
2 B. W& `* |' @Median polish, 中位数平滑
# r. T1 A. Y5 l$ V! ^" q$ x0 OMedian test, 中位数检验
: g7 p8 W* k0 o% r: t2 L- J1 W+ y% ~Minimal sufficient statistic, 最小充分统计量
+ q( f, j4 V2 c. DMinimum distance estimation, 最小距离估计
& C% ^8 Y( h& o: V0 z9 h* sMinimum effective dose, 最小有效量
) Q6 ?0 [4 ]$ C4 S; HMinimum lethal dose, 最小致死量
. \9 c& }% T" V; K, C) @. dMinimum variance estimator, 最小方差估计量* e! o4 R1 D# r) N8 n1 H
MINITAB, 统计软件包' M3 i+ ?, V" G% O4 {9 A& h7 N
Minor heading, 宾词标目
" E* ]. d! G+ FMissing data, 缺失值
# }& ?) a4 D( U. l+ xModel specification, 模型的确定
: [1 }- m+ Y2 O& O8 @+ l2 G$ wModeling Statistics , 模型统计
5 m) G5 t6 S5 w+ Q) P! s% v: \Models for outliers, 离群值模型9 a6 n* f8 [1 C( H+ t/ N
Modifying the model, 模型的修正
9 h5 B# l9 x4 wModulus of continuity, 连续性模
) p3 [. \4 X9 vMorbidity, 发病率 ) w7 A1 |# l g- ^6 Z
Most favorable configuration, 最有利构形
8 Y* n( n |4 h1 L' }Multidimensional Scaling (ASCAL), 多维尺度/多维标度
4 Z$ z8 b8 T: @! K& gMultinomial Logistic Regression , 多项逻辑斯蒂回归; `) b. z6 a' C; _
Multiple comparison, 多重比较
0 a2 g0 i1 i2 _, o1 `0 |5 {Multiple correlation , 复相关$ k8 i1 O; b( K
Multiple covariance, 多元协方差
7 M. }+ F! s0 Y7 Q: W( ZMultiple linear regression, 多元线性回归
* p- \: ~5 B7 V9 v5 CMultiple response , 多重选项+ p$ g. O" e3 Q
Multiple solutions, 多解 h; x& d( i1 m1 l6 K
Multiplication theorem, 乘法定理' L/ J) p( h9 O: ]
Multiresponse, 多元响应' F" g/ N3 ?0 N) @& x
Multi-stage sampling, 多阶段抽样
% F( |2 B9 ]5 H9 e6 nMultivariate T distribution, 多元T分布 z8 N: p3 e- ~) a! h: W
Mutual exclusive, 互不相容
5 h1 O3 y2 Z2 C- h0 }% k: ?Mutual independence, 互相独立
) q* o7 S/ S; V. t/ G, {6 ANatural boundary, 自然边界
3 ~) ?# T/ n0 uNatural dead, 自然死亡
! j7 k6 T% G1 x ]: T1 p! Q5 KNatural zero, 自然零! {5 ?7 I9 D: P3 E- x$ T
Negative correlation, 负相关
6 o" { R& q1 b& f" mNegative linear correlation, 负线性相关
/ ^* {- _ S' K7 {$ M. _; X* cNegatively skewed, 负偏7 y8 J/ p9 X5 _5 H, T
Newman-Keuls method, q检验
" d( t2 B- {0 ~- Z+ N! W! GNK method, q检验 R8 ^( e- a$ P0 R
No statistical significance, 无统计意义
1 Y4 x( V9 J- f/ wNominal variable, 名义变量8 j+ D( B4 Q J& p2 e" x
Nonconstancy of variability, 变异的非定常性( P' R' d' C- E5 ]* ]/ ]
Nonlinear regression, 非线性相关
: F' m) }7 h6 x2 dNonparametric statistics, 非参数统计; }9 a8 W1 B+ P1 U7 d
Nonparametric test, 非参数检验
2 B" l( G4 k6 ONonparametric tests, 非参数检验
: F. R& B6 n5 |Normal deviate, 正态离差% [3 r; O2 C! c- D6 b0 n
Normal distribution, 正态分布
7 Z. \5 X6 o5 h/ ?Normal equation, 正规方程组2 p4 m# B/ A* m$ v+ H0 |
Normal ranges, 正常范围6 T5 j c( r$ Z) Z! M1 r8 T
Normal value, 正常值: H2 t& _5 J- ~
Nuisance parameter, 多余参数/讨厌参数6 o* d* w1 P. ^. _ t- ~
Null hypothesis, 无效假设
* `. S* s Q" t2 HNumerical variable, 数值变量( I- t9 O- T' t7 s
Objective function, 目标函数
& Z" l- ~. z. M/ a1 x) VObservation unit, 观察单位5 ^7 x5 Q7 E" `- U, |0 E }
Observed value, 观察值$ h5 y+ `# t. _- O! k6 V
One sided test, 单侧检验
{" O8 i8 ]2 FOne-way analysis of variance, 单因素方差分析
3 R1 M5 ^2 ?9 x* IOneway ANOVA , 单因素方差分析
4 W0 ~/ r+ w2 {! I0 n! ~7 a5 u, A4 v! |Open sequential trial, 开放型序贯设计6 E. S# y5 Z# K
Optrim, 优切尾
* I O$ }1 Q+ u5 q4 aOptrim efficiency, 优切尾效率- W4 K1 l* ~$ [ y
Order statistics, 顺序统计量
! _( _/ T8 q6 ^/ z9 o6 hOrdered categories, 有序分类
0 z" g' A2 ?' g7 g2 s" d2 ~$ kOrdinal logistic regression , 序数逻辑斯蒂回归: f9 I9 f1 Q. i; }. ~
Ordinal variable, 有序变量
# {* Z" ^4 }7 B9 }Orthogonal basis, 正交基
9 r6 e7 I' ]2 Q& n0 o YOrthogonal design, 正交试验设计
- W5 h9 U" W' a6 t- WOrthogonality conditions, 正交条件. e* J6 {' b, v% p
ORTHOPLAN, 正交设计
. `% a% A& b1 p$ _Outlier cutoffs, 离群值截断点/ E) {6 o! Z$ ~! T8 v
Outliers, 极端值3 N% w% u f. n) J
OVERALS , 多组变量的非线性正规相关
: n$ T$ i, C' v( r; D1 qOvershoot, 迭代过度0 u( e4 ^. b" l b, R0 w
Paired design, 配对设计
- C7 `* s+ c4 b: q# h" p- U9 a' ePaired sample, 配对样本1 ^- P- f8 |; _2 @$ F8 f
Pairwise slopes, 成对斜率
- k0 J- q% } A% x/ N2 A5 Z6 kParabola, 抛物线
% Y( |+ A# G" X( w+ c* s5 @3 {Parallel tests, 平行试验
9 J3 g8 Q# s# F3 \/ e2 MParameter, 参数
7 ^) y' Z! R3 r% k* ~$ }, |% }Parametric statistics, 参数统计+ I, y% ^( _7 H- ` `6 |/ N% a
Parametric test, 参数检验
4 X% C' ]% s- i! w' p# h6 iPartial correlation, 偏相关1 X; O0 ?5 ]- l+ }( k
Partial regression, 偏回归
+ Q1 l" s. v1 QPartial sorting, 偏排序5 g/ N+ T, i2 f) x. r7 w
Partials residuals, 偏残差' c n6 L. G) Z7 ?9 L4 T. L2 @
Pattern, 模式
?% e. A0 R( ?. d( qPearson curves, 皮尔逊曲线
1 m. n4 _: [: o. ~Peeling, 退层
, e4 e3 b" a" R4 a0 E. R1 q' c3 T( GPercent bar graph, 百分条形图
$ `7 s7 K: Z+ l+ `Percentage, 百分比
! {6 W0 A$ O1 Q: C" a3 W4 t9 sPercentile, 百分位数4 }, }* X1 O) r" w9 N
Percentile curves, 百分位曲线
2 }# B$ J! L5 c' i+ d& xPeriodicity, 周期性 O, j9 X/ J; \. Q4 C; U1 H
Permutation, 排列0 |, Z6 X N" ?% ]# A7 g1 ?
P-estimator, P估计量
# ]- n4 K6 f0 p T; R% s$ D) E# jPie graph, 饼图
3 J0 c! P& p: ?5 h1 j; I8 APitman estimator, 皮特曼估计量
$ b$ W2 A% T, FPivot, 枢轴量( x5 W& b' U/ y) w2 x( l
Planar, 平坦
. z+ V- W+ p4 ~, E. oPlanar assumption, 平面的假设; Q: @" j; J h$ g3 N
PLANCARDS, 生成试验的计划卡
2 o; y# L+ S* J6 vPoint estimation, 点估计1 N, G2 x* B% B- S' U
Poisson distribution, 泊松分布; x' a+ [$ M# X1 S- X' O
Polishing, 平滑7 j0 w" Y# P8 }) z b) q$ n: _5 N4 b
Polled standard deviation, 合并标准差
4 O' S0 w2 |- |2 nPolled variance, 合并方差
& [0 K. A, Z5 ?& KPolygon, 多边图$ w* Q( ~0 |5 Z1 Z5 Y }% x
Polynomial, 多项式5 _2 `) ~8 U- ?- |
Polynomial curve, 多项式曲线- |: w- Y( B) }$ }6 ] k
Population, 总体
; H+ ?7 x4 u; a% n1 U+ d* aPopulation attributable risk, 人群归因危险度' s4 n% j) c, B5 Z! g! V
Positive correlation, 正相关/ j0 b5 I& m) s. K
Positively skewed, 正偏: N/ C. D4 Q/ @' ^8 m j/ S
Posterior distribution, 后验分布
$ H4 ~ x' u' n) fPower of a test, 检验效能, |" T* ]8 S+ g8 u# S' k
Precision, 精密度# K/ ~" d; |4 k; F; c
Predicted value, 预测值! w2 F7 x! q* ?/ K( {$ e
Preliminary analysis, 预备性分析7 v% R4 u2 F( C: m9 [) N" U
Principal component analysis, 主成分分析' C" W# s$ N/ a6 u2 N/ J3 r
Prior distribution, 先验分布" i4 L" v8 z- R I$ x
Prior probability, 先验概率& @* H7 K8 v( ?: g0 T m* y1 N4 s& U
Probabilistic model, 概率模型! e5 Y4 S( Y4 k+ Z0 ?( u3 ^
probability, 概率6 s* {1 V y+ ~# }: i/ o" X$ K
Probability density, 概率密度3 q1 b1 w5 m' h# l0 Q
Product moment, 乘积矩/协方差
4 B+ `$ L# B+ f& \- ZProfile trace, 截面迹图- Q" V8 A7 }/ S: Y' D1 s6 E
Proportion, 比/构成比
+ P) A: F* o \' uProportion allocation in stratified random sampling, 按比例分层随机抽样
& y! v! o+ q. S1 G" z$ w/ z" e/ EProportionate, 成比例! `- J9 j; R5 m; O
Proportionate sub-class numbers, 成比例次级组含量
- @! a7 S5 u/ i$ gProspective study, 前瞻性调查' V3 d& V3 J! ]4 h8 x @& F2 {- R6 k3 m
Proximities, 亲近性
* j' O9 e2 _5 V- U9 ^6 [* V: L9 YPseudo F test, 近似F检验
# o5 P2 H9 ~/ g$ F7 I6 QPseudo model, 近似模型
1 i4 y. }2 m$ V+ [# EPseudosigma, 伪标准差
% R) a* F2 Y. Z0 ~0 w0 SPurposive sampling, 有目的抽样
. y+ u4 T, o. U9 x& vQR decomposition, QR分解8 C; ]+ Z+ C9 R9 }+ Q- z- E# z
Quadratic approximation, 二次近似, L6 o' C) R- E& Q
Qualitative classification, 属性分类
- z5 H6 z0 j1 B: ^. ?0 oQualitative method, 定性方法
$ G2 K) e9 t+ @5 KQuantile-quantile plot, 分位数-分位数图/Q-Q图
" c0 V! G% \. c, H+ MQuantitative analysis, 定量分析
) J; _' X0 v1 V* P/ pQuartile, 四分位数8 U4 U3 }5 d. E# D9 v5 I
Quick Cluster, 快速聚类( I8 H: ~% {, V8 V7 B4 m! q
Radix sort, 基数排序# G/ o: |! l" m4 y6 x
Random allocation, 随机化分组
- K6 P/ _! |& c& c% S- s: X$ }Random blocks design, 随机区组设计' U% t( Q9 u+ k( Z
Random event, 随机事件
$ m8 {' G9 Q& y$ JRandomization, 随机化/ T7 [7 `6 \ Z( ?
Range, 极差/全距& [" z/ v$ f* O$ L+ ]
Rank correlation, 等级相关6 J" y+ `3 I6 I0 `+ L5 j
Rank sum test, 秩和检验
6 D+ Z4 v. o2 D' JRank test, 秩检验# O e0 h# p( `( k
Ranked data, 等级资料
: E$ y* h3 I5 N' s9 URate, 比率
0 o) c. p: G$ N: x8 L- uRatio, 比例
* d) m2 Y& O' _. U7 G0 Q, DRaw data, 原始资料. Y2 v: k4 g9 |4 J1 S
Raw residual, 原始残差7 [/ r8 p% }0 T0 O) z/ m: |- F$ g! T
Rayleigh's test, 雷氏检验
" }+ _# a4 ~+ ^9 xRayleigh's Z, 雷氏Z值 - c& o3 O" S9 d8 g! M$ C
Reciprocal, 倒数
1 L `9 h, m: }Reciprocal transformation, 倒数变换9 G! M9 V# y4 Z S
Recording, 记录! J# E5 {$ c- M; ~) B- ^
Redescending estimators, 回降估计量
/ b3 u2 ^: I: v' t. g6 @; e& \Reducing dimensions, 降维
) {2 X% j1 ]. q H* v; \+ o0 u' k9 I/ ARe-expression, 重新表达
2 ]) _0 V2 d2 A N' MReference set, 标准组5 f8 |8 R; P( b+ o' q H
Region of acceptance, 接受域5 Y/ l; U" `5 d# y0 L
Regression coefficient, 回归系数
$ ]3 k( O4 V# Y9 l" G, Q- ?Regression sum of square, 回归平方和
! A+ H7 c" H( c4 f: \# t4 x, s) ^* DRejection point, 拒绝点2 P C5 n2 t) t/ F
Relative dispersion, 相对离散度 I: [+ s4 k" Y3 G, u+ Y( r
Relative number, 相对数
5 n6 P8 D9 |/ ~; |Reliability, 可靠性" t5 [/ r% s+ p
Reparametrization, 重新设置参数" A- C; e% n4 G/ s4 k: D
Replication, 重复1 U/ _+ U1 `, P. |8 K, M6 @3 E9 f2 k- f
Report Summaries, 报告摘要
" `8 h! t; K: F2 ]: c" O0 ~Residual sum of square, 剩余平方和
8 }/ u. L: m8 \% j) ^# {Resistance, 耐抗性
7 ]9 D" w/ U6 _# QResistant line, 耐抗线
. X0 V5 O, I9 l( YResistant technique, 耐抗技术
5 E7 a, ]$ @9 A1 a4 w* eR-estimator of location, 位置R估计量" c6 t# @$ S0 Q- u- j) z" u" e
R-estimator of scale, 尺度R估计量
7 }$ n5 Y" y$ BRetrospective study, 回顾性调查$ b( l' N- ], h; m: P
Ridge trace, 岭迹
; W! L+ j3 D4 c: w/ l! y: ~$ ^Ridit analysis, Ridit分析
6 g( P4 h2 d+ v, HRotation, 旋转
0 L7 s N1 t0 P. Q8 A" X4 U3 [Rounding, 舍入
' B8 M! c2 d( _! H" J! z% _7 \6 SRow, 行
& F6 J) |/ @) X6 `) E8 ?Row effects, 行效应
2 H- Z8 b4 o. s( L- pRow factor, 行因素3 o' \+ _4 e; [. D; l' n
RXC table, RXC表
* V4 m% |! t# i2 H- y; d N7 lSample, 样本+ h+ p. N5 t. S! D# S
Sample regression coefficient, 样本回归系数8 F0 L J' B* n& Y% O. g2 ?
Sample size, 样本量
/ c6 X" G1 ?3 G# USample standard deviation, 样本标准差
6 _8 |9 B" Z' o; a, ZSampling error, 抽样误差
8 s% `. q! a" @. r* |! h0 qSAS(Statistical analysis system ), SAS统计软件包& k( s* ]' k" o+ q1 N$ h
Scale, 尺度/量表8 r$ l7 t# } ]* z( R
Scatter diagram, 散点图5 ?. G' T9 A4 Z) f6 f- ~3 l# E
Schematic plot, 示意图/简图7 e! Z! z+ v8 _$ _& d4 c. {3 f
Score test, 计分检验0 s% ^9 s @6 c- g5 }3 `
Screening, 筛检
- ?0 `: Q9 o7 X- rSEASON, 季节分析
, M) e+ ^" {: N3 q. o2 z. }Second derivative, 二阶导数4 x9 f1 \& G* P: F# A' h; V+ S
Second principal component, 第二主成分, W% g4 m6 ^; W3 l4 c
SEM (Structural equation modeling), 结构化方程模型 - ~+ l0 h& X# t9 A9 P- v8 d( J
Semi-logarithmic graph, 半对数图2 Y6 n% n4 e, q; C
Semi-logarithmic paper, 半对数格纸. w6 u1 D0 P/ S4 _8 ?6 \( F3 _
Sensitivity curve, 敏感度曲线
9 l; U( W6 B- `/ p: q) D; m* O1 GSequential analysis, 贯序分析
K! Q D" i- |0 t3 M2 R: zSequential data set, 顺序数据集
2 S) X; \& v7 KSequential design, 贯序设计
! i2 S% K' H; O* R( x# F4 B+ N( uSequential method, 贯序法
7 h6 `/ h5 p. ^3 K+ gSequential test, 贯序检验法+ V: X# }- E; H L7 Z9 Z, P
Serial tests, 系列试验
& r |+ R9 j2 F5 IShort-cut method, 简捷法
$ r5 u3 q6 s) t: I+ {8 OSigmoid curve, S形曲线
" {1 ~! q* u" S. l3 LSign function, 正负号函数
! W% x* d8 ?# ISign test, 符号检验
) y% k; s/ Y$ m FSigned rank, 符号秩" Y# O- d C4 T) c
Significance test, 显著性检验( O. i5 |% x0 S$ e( I$ f
Significant figure, 有效数字' T0 ~! Y7 j2 E$ G9 ~
Simple cluster sampling, 简单整群抽样
- k2 m3 E; o; C& c3 A6 U! O- t0 }Simple correlation, 简单相关' @. ]$ b* A% h# S
Simple random sampling, 简单随机抽样
# u! ]& V1 H3 ?9 N7 l( Z7 t/ e% ASimple regression, 简单回归/ @* \% O w- T1 q& }' w" j
simple table, 简单表) c) t( i0 m2 v" D7 O
Sine estimator, 正弦估计量) k9 i! X. Z* _6 a& c) `+ F
Single-valued estimate, 单值估计. L& z$ I* ]& s& R. ^* K# ~. \
Singular matrix, 奇异矩阵6 m# \# C# `* Z( q- x9 ^( r
Skewed distribution, 偏斜分布* F$ k6 N8 Y& M. T, m
Skewness, 偏度$ X! F7 s3 s" n
Slash distribution, 斜线分布
& \6 n" y( l& G8 t9 a1 ESlope, 斜率 |, ^0 k4 z- L: z$ N* S
Smirnov test, 斯米尔诺夫检验, c5 C9 h8 U7 A& q' W0 X% K( ^
Source of variation, 变异来源
8 Y' {2 o8 W" b/ QSpearman rank correlation, 斯皮尔曼等级相关
, ^4 ~0 C; V+ k$ c& j, J) _ u8 ?+ uSpecific factor, 特殊因子& j+ g |2 l4 y: J
Specific factor variance, 特殊因子方差# V! J: s& t9 n( c: O9 C/ C
Spectra , 频谱! G% u {/ W7 M& Q/ W
Spherical distribution, 球型正态分布% G$ n; `( O$ i- s4 R8 G1 e/ K
Spread, 展布) e5 [+ I0 y4 k- x/ z: a' z
SPSS(Statistical package for the social science), SPSS统计软件包# C5 z6 K* Z$ e; Y, U* i
Spurious correlation, 假性相关) W$ r, V4 Z! k$ ^+ D- R) C
Square root transformation, 平方根变换
: s* M9 {; Z; \4 d+ ^6 A: }Stabilizing variance, 稳定方差
& f( G+ g0 ~1 P' D( Y2 X, _' B9 `# jStandard deviation, 标准差
* t0 `! `5 X5 n9 Y8 S% FStandard error, 标准误$ ^/ S$ t7 L6 t/ w. p9 P0 s' m/ V) X
Standard error of difference, 差别的标准误
- m7 _$ V2 \ s; X5 v/ E, q4 nStandard error of estimate, 标准估计误差
- N# `' H. d5 TStandard error of rate, 率的标准误: A9 G8 V+ u. w
Standard normal distribution, 标准正态分布
) M) t0 B' ]' ~6 j. d/ O3 ~, YStandardization, 标准化
3 R% K2 E4 j% {+ R( c% ]Starting value, 起始值
+ k% C( w2 U3 l$ m( GStatistic, 统计量
; _1 z2 K# s( z* x: w" [Statistical control, 统计控制' h, V% p$ \1 C) B" u8 V# E
Statistical graph, 统计图; o* J# i: k m% a3 [
Statistical inference, 统计推断: s/ Z! B4 M' @6 ?
Statistical table, 统计表2 m+ m k8 w6 C% h" y! L
Steepest descent, 最速下降法
* y+ m9 I# c: q- _. P* g I9 _Stem and leaf display, 茎叶图$ N" D( e$ x' a1 c( X( D. Y
Step factor, 步长因子+ ^$ U+ f5 I' l7 d
Stepwise regression, 逐步回归
2 v% J0 M; R% J$ [Storage, 存
8 F# \+ n h! p: RStrata, 层（复数）5 C: h* d+ p: C/ B s/ Q# ]$ X
Stratified sampling, 分层抽样
% w, o8 f) l8 N% E e I+ aStratified sampling, 分层抽样5 ?& ^4 s& E. Y4 j
Strength, 强度
4 e0 y; B7 B. G: t. a" C8 ^8 NStringency, 严密性$ F+ }& l% G2 ?# V3 h& p) a
Structural relationship, 结构关系& c/ P( @0 x& D9 w6 C+ P0 T
Studentized residual, 学生化残差/t化残差
; I, F- M# c0 g+ @& m* d: x" |* RSub-class numbers, 次级组含量! `) p. }& i& q3 S
Subdividing, 分割
. ?, i: Y5 C V! H9 |" h5 [3 u c( T* a dSufficient statistic, 充分统计量
- q( _1 {; a R$ Q/ ^7 \Sum of products, 积和
# l! U6 p$ ^ i* I, g* I' FSum of squares, 离差平方和$ h6 A2 T$ p5 F |+ F, M& v' b( ?# c
Sum of squares about regression, 回归平方和& f* g$ H" j! f4 @0 |
Sum of squares between groups, 组间平方和
& z' W6 L: G& T- { kSum of squares of partial regression, 偏回归平方和) v' H8 s9 t) s5 |+ Y
Sure event, 必然事件: g4 N' a0 _( W$ {
Survey, 调查
1 R) ?6 D+ y, ]8 t- ]Survival, 生存分析+ |- ~% x# z0 l8 L' O
Survival rate, 生存率
) X; R F0 d- }. P- ^# W; ^Suspended root gram, 悬吊根图. G+ X2 W( G. P, h) ~! E/ ^+ [
Symmetry, 对称
( J& i* ]+ M* TSystematic error, 系统误差
% o6 G% J' |8 ~Systematic sampling, 系统抽样' v1 k* V2 h9 z" m
Tags, 标签2 D* p. `4 R* W) G1 j3 O
Tail area, 尾部面积* H3 W9 H9 I( a: D- x4 L
Tail length, 尾长6 b0 T7 u0 r9 X( k( h) z
Tail weight, 尾重
- u9 g* g9 I$ pTangent line, 切线* ], U* ~$ _% f) X$ M2 U' w
Target distribution, 目标分布! t2 v1 E9 J6 W+ ?; A
Taylor series, 泰勒级数
# t; K9 p2 P9 F- U( [Tendency of dispersion, 离散趋势- Y3 E) \4 }1 G4 L& N
Testing of hypotheses, 假设检验
+ z' M8 n7 {" W$ f, dTheoretical frequency, 理论频数
/ h, F4 ~( B1 bTime series, 时间序列
8 H9 U$ @0 ]) I0 K9 D' K0 O' zTolerance interval, 容忍区间
# g' q2 x" P: |# q3 O; pTolerance lower limit, 容忍下限' |0 o" X p& ~' n
Tolerance upper limit, 容忍上限
0 e9 I5 X' B! X6 p ^! M5 @2 L6 LTorsion, 扰率( E- d% \* m/ y
Total sum of square, 总平方和
& K# m: S8 N( M1 B _: qTotal variation, 总变异
, ~0 B0 y5 l$ n+ v! wTransformation, 转换
$ z* E0 {: i: {: S. X0 ?Treatment, 处理
) G: k+ [8 q5 m+ eTrend, 趋势2 ~! w; n1 r/ J& j* Y
Trend of percentage, 百分比趋势
% y* ]/ P: t& F8 b" Z4 ETrial, 试验8 t0 u% H5 i; g( n
Trial and error method, 试错法
2 N4 X2 }) C* M5 H; UTuning constant, 细调常数 o$ [0 ]/ \. D. }
Two sided test, 双向检验
+ }- I4 h( @% i3 \ TTwo-stage least squares, 二阶最小平方
" F5 Y( \5 @9 K3 yTwo-stage sampling, 二阶段抽样
- b# A9 ?+ o4 e; Z' v8 BTwo-tailed test, 双侧检验
5 T% @' `0 k* n$ @! jTwo-way analysis of variance, 双因素方差分析8 P, L! M- H" @/ `7 o
Two-way table, 双向表( l2 q( D* X% z4 i
Type I error, 一类错误/α错误
8 W/ s- n9 R1 @' y7 H0 p: IType II error, 二类错误/β错误
! Y% e4 F3 j! tUMVU, 方差一致最小无偏估计简称6 \2 E: R4 E0 l! _
Unbiased estimate, 无偏估计
& [0 I ^# |7 z% d, P6 C) uUnconstrained nonlinear regression , 无约束非线性回归7 j& Q X# }& T3 P6 v
Unequal subclass number, 不等次级组含量7 ^* ^1 I& X$ Z: n$ i) n
Ungrouped data, 不分组资料
: z% ~, {3 s% A/ v- b8 wUniform coordinate, 均匀坐标
0 E6 ]* Z; W T! }0 }: M( O& m6 T& l- wUniform distribution, 均匀分布5 A7 m6 Q4 S0 s' O: m3 s& a
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计2 K& d" X3 Q; O# j" R
Unit, 单元
- `/ i8 g! c9 a# x0 B: [ M oUnordered categories, 无序分类* R ^5 L* C( a/ {, b
Upper limit, 上限, N% K3 R% {: V
Upward rank, 升秩& \! s- @9 q$ s) F5 K. O% O
Vague concept, 模糊概念
" K1 w7 V; O M5 K4 qValidity, 有效性
& c& f3 D# |- q" C, ^VARCOMP (Variance component estimation), 方差元素估计" |5 ?- K2 U" B B8 F: J
Variability, 变异性
- \. R6 p. K, U# u. v8 YVariable, 变量) |/ J/ y) ?+ ?/ G
Variance, 方差, o; o0 X6 V9 t/ `
Variation, 变异
& \0 t. n$ n: i2 b9 L1 TVarimax orthogonal rotation, 方差最大正交旋转7 X; N' I& C, g% ] C% b6 X
Volume of distribution, 容积) K K( \5 [% o9 S
W test, W检验
! ]! n% l4 \8 B* uWeibull distribution, 威布尔分布
. W' p: X2 R! i2 sWeight, 权数8 T" D7 {8 U+ G. l) P. P1 H
Weighted Chi-square test, 加权卡方检验/Cochran检验% q2 w3 Z, L- s, F N0 E" N( F
Weighted linear regression method, 加权直线回归' Y7 z, r' T9 ~
Weighted mean, 加权平均数! F8 g$ H, c6 ~. S8 T
Weighted mean square, 加权平均方差
' G/ @8 H0 Q2 V. S; [! JWeighted sum of square, 加权平方和
a' d& v% [6 h! b8 ^& Y1 o1 CWeighting coefficient, 权重系数
. W0 x7 V+ \8 }: _3 O4 C, ]Weighting method, 加权法
) {$ V. Q$ D8 }* D+ C1 P3 qW-estimation, W估计量0 b+ B( b9 {4 i% e
W-estimation of location, 位置W估计量
+ C7 n9 c, T: y% r. dWidth, 宽度
f B) d4 X) q; a% N! r* XWilcoxon paired test, 威斯康星配对法/配对符号秩和检验2 J' W5 e! j4 y- P1 g4 b
Wild point, 野点/狂点. H& l6 ]7 e7 s( q4 Z
Wild value, 野值/狂值
/ a# z j$ J% M2 |8 Z! MWinsorized mean, 缩尾均值
0 v; C6 w W# N; G8 ]+ y" y/ pWithdraw, 失访
* t( E9 a: X- vYouden's index, 尤登指数1 b0 ]5 {+ v$ T# ?; G
Z test, Z检验
! s, G4 t7 B' l* g+ w( xZero correlation, 零相关
1 Z; v# p+ }- I: G& Y. c2 }Z-transformation, Z变换 |
本帖子中包含更多资源
您需要 登录 才可以下载或查看，没有账号？注册会员
x
|
|李越老师直播间|清流社工网
( 苏ICP备19044186号-1 )
发表于 2009-1-6 22:05
