|
|
Absolute deviation, 绝对离差" O# Y) O8 _4 g$ {7 T* j
Absolute number, 绝对数
r/ \4 @$ z: C' i" G; d6 {Absolute residuals, 绝对残差3 u, i" Y2 s+ C; Z3 h! g0 O
Acceleration array, 加速度立体阵
2 @7 G' k. l. N' T) ~! O. QAcceleration in an arbitrary direction, 任意方向上的加速度0 f8 H R& t9 `/ u* u. d
Acceleration normal, 法向加速度8 I9 z$ S* q- Q; _& c8 [! T
Acceleration space dimension, 加速度空间的维数" x, p: x6 M! Q( G! D3 m _/ B
Acceleration tangential, 切向加速度
2 K5 e& Z. g7 M6 t: z' I, @Acceleration vector, 加速度向量6 `. y$ E% x& s9 f
Acceptable hypothesis, 可接受假设% _$ C4 h/ }+ [0 a( R4 D
Accumulation, 累积% M: j# l" {$ q1 u9 S; u- U* Z
Accuracy, 准确度
; O, P3 S$ X- Z0 @& pActual frequency, 实际频数
6 h! F* C6 N8 _4 I0 b: I3 h7 HAdaptive estimator, 自适应估计量
, Z0 L3 v8 l: D# n9 ^Addition, 相加; t4 g* {0 x7 B# a; q, ]# B% x
Addition theorem, 加法定理
1 I! `3 P- z5 M. M2 \* ], GAdditivity, 可加性
$ a5 R/ C& d A2 QAdjusted rate, 调整率
) n# A! P- L2 mAdjusted value, 校正值7 N+ L, X: W$ D4 J
Admissible error, 容许误差5 T2 O% a; @1 F6 h9 x
Aggregation, 聚集性) a y3 t4 W x4 p4 d! [8 |
Alternative hypothesis, 备择假设
0 t. a/ v7 R$ _% NAmong groups, 组间0 _0 m; ?# s6 j4 ~
Amounts, 总量
# y6 w2 R4 Y* q' v1 i; cAnalysis of correlation, 相关分析
5 p X) s4 D& n) xAnalysis of covariance, 协方差分析 Q9 {: \$ y/ k; U" l& |. x
Analysis of regression, 回归分析# E" t+ P: R! H0 f3 }' @8 C; W5 D
Analysis of time series, 时间序列分析6 H* G+ i; i8 b) R; ]9 H9 U0 z% [0 V
Analysis of variance, 方差分析 x3 w; X$ h) `
Angular transformation, 角转换6 x9 X* m7 U! X; p* F6 \# ~) N
ANOVA （analysis of variance）, 方差分析* x3 m. T8 C2 V: S9 j
ANOVA Models, 方差分析模型
3 _% h7 o+ S u* R* r8 f* AArcing, 弧/弧旋& ~( `- o3 [8 E5 t: S( r& [* h, k
Arcsine transformation, 反正弦变换
0 U# l: f! ^& P/ t6 s$ W9 g9 _Area under the curve, 曲线面积2 j [0 \. e/ N6 s8 ~
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 4 ]- Z: _! g) L7 N! s! X
ARIMA, 季节和非季节性单变量模型的极大似然估计 7 D' E' x: x+ C) r
Arithmetic grid paper, 算术格纸! N% p% _# l8 t( W i
Arithmetic mean, 算术平均数
4 X9 Y/ J$ I0 L* L" ^Arrhenius relation, 艾恩尼斯关系& Y- A3 |- Q1 h! D/ \7 z% _
Assessing fit, 拟合的评估* Q5 D* P: S* V
Associative laws, 结合律3 [( D! f g( t
Asymmetric distribution, 非对称分布
: @: S& N, g/ i3 gAsymptotic bias, 渐近偏倚
8 c) p* t" O9 y1 b3 k, @' gAsymptotic efficiency, 渐近效率
! h7 R; k0 o3 x) T# W3 ~# EAsymptotic variance, 渐近方差6 V4 M& {9 R0 m! X0 b; x
Attributable risk, 归因危险度8 B8 e9 }" u) E' c+ w% N; k
Attribute data, 属性资料9 _+ |" O; X5 i$ n0 P, D
Attribution, 属性" }/ K; {4 |; ~+ P0 ~+ r O
Autocorrelation, 自相关
: ~/ [% k- [" T; qAutocorrelation of residuals, 残差的自相关2 @6 k' K# e8 m& Y) w* E5 ~+ g& ~
Average, 平均数2 @ S6 O$ D0 N
Average confidence interval length, 平均置信区间长度7 s, d# M% t& m: e
Average growth rate, 平均增长率% W2 h2 I- N1 D$ h" u( x/ g$ {
Bar chart, 条形图
& [2 j3 v5 o7 Z$ I6 Y4 z6 I/ l. }Bar graph, 条形图/ o# s: {) R) Q! Y, m7 B
Base period, 基期1 U5 s) i, J2 F
Bayes' theorem , Bayes定理' c' @8 Q' V w$ K" k6 p' X
Bell-shaped curve, 钟形曲线( Z1 s+ v' O* J; e4 v" B. u
Bernoulli distribution, 伯努力分布
( Y# g6 i: Y7 y: _ K5 CBest-trim estimator, 最好切尾估计量
# f2 }3 l7 _+ i( d; l5 EBias, 偏性4 t( m4 b0 z, ~; ]7 G
Binary logistic regression, 二元逻辑斯蒂回归
& L' a' Q6 r7 N8 V Z6 nBinomial distribution, 二项分布6 p! a: _" w& D/ @
Bisquare, 双平方- l8 t' f0 ]0 @8 n9 L$ l+ ]
Bivariate Correlate, 二变量相关
+ B5 J; Q3 j0 Q/ rBivariate normal distribution, 双变量正态分布
6 Q' _( n, Z p" `+ tBivariate normal population, 双变量正态总体# v z+ _# S6 n: W4 |1 c& M
Biweight interval, 双权区间9 G' I$ h% i% L/ Q7 m
Biweight M-estimator, 双权M估计量
) D! \! H8 f% j, ^Block, 区组/配伍组
$ m- }6 A5 ], a0 u1 Q7 DBMDP(Biomedical computer programs), BMDP统计软件包& ~; a7 H8 @* y
Boxplots, 箱线图/箱尾图
/ d# o$ T4 l7 VBreakdown bound, 崩溃界/崩溃点
% p4 [# w# {! b0 |& _Canonical correlation, 典型相关7 n9 l; A( d8 U# G. Q
Caption, 纵标目 X( q; c8 t5 y2 ~( v) i
Case-control study, 病例对照研究
}: n- b% w- aCategorical variable, 分类变量% L5 x- D3 @! B( j3 a. w. ^$ h
Catenary, 悬链线' p- k( j/ y; b
Cauchy distribution, 柯西分布
/ ~/ m+ d' m8 VCause-and-effect relationship, 因果关系
! r* W/ k6 |+ v4 T( J7 B' P2 rCell, 单元
9 h* T6 A$ o+ ?2 HCensoring, 终检
3 Z+ o) M- S& J& a- {& m0 LCenter of symmetry, 对称中心
+ v/ l/ T( y9 Y; F3 q$ _3 bCentering and scaling, 中心化和定标
& j S6 W* i7 J( s% s7 h1 YCentral tendency, 集中趋势
. O( g/ C, ~/ Y; Y' H @5 wCentral value, 中心值
0 n7 q' W/ P8 g8 h8 vCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测7 i6 M& C5 l, F6 P
Chance, 机遇
3 |0 c4 }+ l) s. i5 f( k! K9 V( }) iChance error, 随机误差/ r8 K& q' ? O3 E
Chance variable, 随机变量' ^1 q* Q) D6 f9 p
Characteristic equation, 特征方程- A. s+ O4 I. ~
Characteristic root, 特征根
% \. M! g& T; a1 U3 UCharacteristic vector, 特征向量
% w* p2 L0 g# o# o' \+ E2 tChebshev criterion of fit, 拟合的切比雪夫准则/ x0 t6 }& E6 @6 _# i
Chernoff faces, 切尔诺夫脸谱图7 n' P- Z* L2 a! f$ k2 u* Z# k
Chi-square test, 卡方检验/χ2检验
; i4 A) e( l9 i7 X) F# tCholeskey decomposition, 乔洛斯基分解
' l9 D" } R/ ~* b0 W' N0 HCircle chart, 圆图
- Z5 C- u7 v! D" D) sClass interval, 组距
6 o: H# f: k0 r# |* AClass mid-value, 组中值4 s+ _: N! `* q" d3 o
Class upper limit, 组上限+ C& O0 a* r0 v- M" m, e) c
Classified variable, 分类变量
8 I# Y9 o, Z& T/ j VCluster analysis, 聚类分析
& D. Y7 A. M4 N% k$ z, JCluster sampling, 整群抽样
5 l- K% N/ ? F( b; E4 WCode, 代码. r% v, G! Y' `& t
Coded data, 编码数据
. J6 P7 {( ` \. cCoding, 编码# @- `$ e6 x% a, n! J
Coefficient of contingency, 列联系数
3 K, m; Z- l) d' {, pCoefficient of determination, 决定系数
/ ?: m" R, q; \3 v/ Z3 ?* a4 h2 R. R- dCoefficient of multiple correlation, 多重相关系数; t) }1 I0 Z/ E; b: M
Coefficient of partial correlation, 偏相关系数; f7 W5 j/ A5 l0 ^+ W, W
Coefficient of production-moment correlation, 积差相关系数
" U2 z6 g% b2 `! Z+ m5 _6 O+ eCoefficient of rank correlation, 等级相关系数: }, t7 \1 ^0 ?' D# j- q, S5 r
Coefficient of regression, 回归系数
) q' n. S. _2 ^. i9 GCoefficient of skewness, 偏度系数
! U4 u( R4 H9 }5 @9 M/ qCoefficient of variation, 变异系数5 k% k, ~3 d) I! J; L: E' q
Cohort study, 队列研究
% J! q% V$ D- x& ^' FColumn, 列
, N+ x% A' ^# V3 i! g4 e2 @Column effect, 列效应) ?. G1 p4 m3 o G( {9 K
Column factor, 列因素
7 O4 J+ }' ^4 Q- q$ E( eCombination pool, 合并
0 ]( T5 q R B; OCombinative table, 组合表
( w. b/ F# u, `$ x5 J8 KCommon factor, 共性因子) [9 Z8 _2 s' U* Q1 `
Common regression coefficient, 公共回归系数
0 z' f# ]8 ^9 c e- ~6 r& tCommon value, 共同值
) i' w2 X) T* `+ h+ I5 H- o' }Common variance, 公共方差5 e, j* `% D9 Q
Common variation, 公共变异
+ @* n6 j) L% g9 _1 l7 wCommunality variance, 共性方差. x. V; S D3 j/ Y' c
Comparability, 可比性
$ e5 O$ _+ r: B& d$ GComparison of bathes, 批比较
( z3 ]- g5 X8 i4 r, @/ aComparison value, 比较值
( ~0 J# l6 M# u ^Compartment model, 分部模型4 s0 f# Y2 r- y/ S) P1 I3 ]2 F
Compassion, 伸缩2 ?2 Q, R0 ?/ y: w! L5 N4 K o
Complement of an event, 补事件
3 v7 [% _. t) Z3 n T; z1 mComplete association, 完全正相关" `3 q& W* Z8 X" v7 K! S
Complete dissociation, 完全不相关0 `/ A8 G7 b5 d6 {" y" {& J# e
Complete statistics, 完备统计量
7 Z2 R9 |- ^6 uCompletely randomized design, 完全随机化设计
0 K ]: b4 I+ CComposite event, 联合事件& L; Z0 `; [$ q0 F/ `
Composite events, 复合事件' a% H2 q- a! Q+ D `
Concavity, 凹性# `# ]9 p( x0 P( r3 G3 w
Conditional expectation, 条件期望0 b4 H" b; t$ H+ ]: V1 E3 h; h
Conditional likelihood, 条件似然) ~& C" P9 n4 |2 ^, }. i- F
Conditional probability, 条件概率
- t7 q' K& V) D+ D( Y8 u$ G# [Conditionally linear, 依条件线性
" l7 S/ p/ O* L( I- g' P' u2 ]; MConfidence interval, 置信区间
- J$ t" [$ X$ p4 a3 QConfidence limit, 置信限
( k8 [( K. Q/ g8 c9 ~5 L* [Confidence lower limit, 置信下限. I5 b/ w1 ]! O) c( w$ W
Confidence upper limit, 置信上限) z$ [# C$ n, C! ~% q
Confirmatory Factor Analysis , 验证性因子分析4 r5 r: d$ a& x* y
Confirmatory research, 证实性实验研究' _ ]; X# p& t+ b
Confounding factor, 混杂因素
6 X* R$ x; }9 l+ jConjoint, 联合分析) w& P. L5 G4 W: |" L
Consistency, 相合性, B: k6 |: J/ V7 h
Consistency check, 一致性检验
q# }# L& g- c! ~ SConsistent asymptotically normal estimate, 相合渐近正态估计8 w; H: X, D0 j' ?* `
Consistent estimate, 相合估计$ o) Z# a6 e7 Z$ p9 W
Constrained nonlinear regression, 受约束非线性回归
& {6 n! _% h, p% N4 g9 rConstraint, 约束
- |3 }) v. d. D4 s' zContaminated distribution, 污染分布0 A0 c+ `' t+ K1 a* W/ [9 A/ @" c& J
Contaminated Gausssian, 污染高斯分布
: |" }. m" G3 k7 AContaminated normal distribution, 污染正态分布" D- L- i- u4 h. u6 v" ?2 R
Contamination, 污染6 m; D- {! | I8 L6 Y. B
Contamination model, 污染模型
D! S! Z- `) PContingency table, 列联表! g! c( p- d% |! O0 c, U
Contour, 边界线
+ P/ z7 J$ H# }7 s9 n# PContribution rate, 贡献率
' R( v) W: L( c1 j$ g1 \; i' TControl, 对照
! x. ?# I4 [5 u3 A2 tControlled experiments, 对照实验# m1 M: {6 ~* l: E
Conventional depth, 常规深度. c, u9 _" w) B! B5 Y0 J5 M) L
Convolution, 卷积
9 r/ i4 n9 d% o: }5 q J* `Corrected factor, 校正因子2 X9 W8 I z* v- C3 V6 n2 }1 |+ F5 R
Corrected mean, 校正均值! y7 P. u% }- g
Correction coefficient, 校正系数
0 M4 m+ q g8 F6 K3 q7 |) _Correctness, 正确性9 {6 w' T! V `% R7 C, u% C& c
Correlation coefficient, 相关系数
s! X* C) J- G6 x+ A2 \Correlation index, 相关指数& ?2 k9 [! F; x" u/ J# \( Y
Correspondence, 对应
. X! f8 u0 j, d" N6 {Counting, 计数# C; l r9 y/ |: o! z$ @
Counts, 计数/频数
; P$ d) w5 q% r; L8 sCovariance, 协方差( h4 |" R! ~( j6 K. [6 |
Covariant, 共变
# y) i3 x; {; fCox Regression, Cox回归
3 d: n8 p7 t# h# a; rCriteria for fitting, 拟合准则$ h+ N0 R5 o1 o: G& G0 F
Criteria of least squares, 最小二乘准则
. h) D! m: x% O+ G2 yCritical ratio, 临界比
+ L4 e8 v/ t5 r5 V$ q ^7 pCritical region, 拒绝域
; A7 T" `, q5 @/ ]- @; ]8 qCritical value, 临界值( Q. O& \: a y4 R; [; x! A. V
Cross-over design, 交叉设计
8 r3 L: g) c% Q% }- i* S: YCross-section analysis, 横断面分析
/ o4 {6 t) m4 z2 J4 o! YCross-section survey, 横断面调查+ D) ]4 a$ c# ^6 X$ v9 Q. z
Crosstabs , 交叉表 $ U( } e" q$ ]) w
Cross-tabulation table, 复合表
5 N3 e, p9 ^( @6 M1 xCube root, 立方根
6 z! q! W1 @7 Y( R" O$ SCumulative distribution function, 分布函数
+ I) B5 x, {" {( p. k, } n) BCumulative probability, 累计概率, ?) y8 ]* V# s' Y2 D* I
Curvature, 曲率/弯曲9 j0 w) w/ P" \$ i8 d
Curvature, 曲率0 t6 T+ n3 m6 {1 t: u
Curve fit , 曲线拟和 2 _1 @& i" x2 ~; l# g* U
Curve fitting, 曲线拟合
; d& C, G( [9 \6 `' UCurvilinear regression, 曲线回归) ^0 o' ~: E5 x, x9 F4 j- y# K
Curvilinear relation, 曲线关系
2 K! w" H. @3 v* HCut-and-try method, 尝试法% e, P2 i; C0 J& v5 e1 L' V0 A
Cycle, 周期
9 F- }1 U3 w6 u: ^Cyclist, 周期性
7 G& a6 R/ ]) U9 w, g, jD test, D检验0 N* l6 M% s- a4 c8 N5 R7 ?5 _5 r
Data acquisition, 资料收集# u& r! Q9 }* f2 c
Data bank, 数据库
4 n' k0 b' k E9 }Data capacity, 数据容量; m% r7 W( o$ C* v5 x3 @! H7 [
Data deficiencies, 数据缺乏 W3 \1 o; m3 s/ e5 i' a! i5 D$ C2 s
Data handling, 数据处理8 R3 _2 [, c: p+ P
Data manipulation, 数据处理8 u; ~: J, T* [4 _1 K
Data processing, 数据处理1 F$ t. w! o. M* f8 @" }- O
Data reduction, 数据缩减
) x9 e- p9 r6 l- pData set, 数据集! Y8 T5 D& _( c) I. r, @9 v+ _( r, p$ R
Data sources, 数据来源
; e: i$ i$ D9 _7 |8 _; `5 f' ZData transformation, 数据变换3 I- ]' J8 S+ i
Data validity, 数据有效性
; J7 q0 O+ x9 WData-in, 数据输入
3 a% J- [- k7 |* E1 v) zData-out, 数据输出
( I4 B$ F8 \& LDead time, 停滞期: p& j7 W% L0 R* J
Degree of freedom, 自由度8 j7 i: N1 I2 A
Degree of precision, 精密度& E$ E( @6 Y" u* F% k8 p' r. g5 ~3 l; s
Degree of reliability, 可靠性程度
1 A) d F8 C8 i3 |Degression, 递减" _% m4 u0 u) C3 D3 z0 |! t
Density function, 密度函数
4 \! @. @ G( f+ d) z' L2 gDensity of data points, 数据点的密度9 _! I0 _# W; ?4 X* r+ ?" {' \( _# ]& a
Dependent variable, 应变量/依变量/因变量
[+ C& N# ]5 Z; rDependent variable, 因变量
7 w* y" ?/ W- I, mDepth, 深度6 w. S7 @& ~! I# |
Derivative matrix, 导数矩阵4 [( r6 C, a# v
Derivative-free methods, 无导数方法
6 k u9 ~) x9 @+ Y& WDesign, 设计' ]: H b. i! j* i3 z8 }
Determinacy, 确定性
! @! p6 H- H8 V$ H6 |4 Y( pDeterminant, 行列式9 \ o$ W$ `6 c0 O2 R
Determinant, 决定因素
- U( P% B( }* j4 C8 K6 P; WDeviation, 离差; ^# }' D2 x' m; C* x* l6 g& w
Deviation from average, 离均差
0 q5 \/ N# E, d" |1 x* A; iDiagnostic plot, 诊断图
7 C) v* F$ t$ TDichotomous variable, 二分变量
. g. u: E8 j6 SDifferential equation, 微分方程
0 h4 J/ T' y6 u9 ]. e* SDirect standardization, 直接标准化法
2 ?* ~4 t2 ?! H1 G# uDiscrete variable, 离散型变量
- j c- |( u: ]3 gDISCRIMINANT, 判断
! {( r- v) P/ `& j7 { fDiscriminant analysis, 判别分析
( P2 A: J$ v% K& P- d5 o8 pDiscriminant coefficient, 判别系数0 T9 T% `& g! W& s {, o1 p
Discriminant function, 判别值& J$ t/ M' b1 L H- |' Q
Dispersion, 散布/分散度
/ Y) b3 X' z0 [4 y% n: `Disproportional, 不成比例的
; {6 Q T4 [# B7 o! N0 C% v& l6 E! XDisproportionate sub-class numbers, 不成比例次级组含量- u/ Q& m6 q9 y/ W/ s! d
Distribution free, 分布无关性/免分布; f6 k( w2 c+ z+ P
Distribution shape, 分布形状
* b J9 P5 O ~; ?5 m7 mDistribution-free method, 任意分布法+ ^5 F0 A/ Z% m0 L5 b- p8 y
Distributive laws, 分配律2 w9 G5 g% C# a9 b) d3 ?/ d! T
Disturbance, 随机扰动项 b( Q) ^9 e0 ?! @- d3 a% n
Dose response curve, 剂量反应曲线& _/ G' u/ t0 r+ U: ~+ {/ ?
Double blind method, 双盲法
+ s+ W N) D2 L% N- o1 cDouble blind trial, 双盲试验
2 L I- E( {! @. J% e+ n3 `Double exponential distribution, 双指数分布
% e1 z% F1 F! x$ w% [1 MDouble logarithmic, 双对数9 I) b% B; T- r) w' \2 _4 ^9 W
Downward rank, 降秩
- I2 X& H, q, h2 CDual-space plot, 对偶空间图 v9 c/ [* Z9 X. S8 J7 h( q# `8 S
DUD, 无导数方法
$ D0 z3 g: M& V5 {* H, ]Duncan's new multiple range method, 新复极差法/Duncan新法
2 Z7 U* N5 N: r1 q" O* A7 k& _Effect, 实验效应& Z! t, M; C) X9 Q
Eigenvalue, 特征值6 p' z- D2 P- D5 Y3 R7 o4 a
Eigenvector, 特征向量
( M8 |4 L$ ^3 b5 R0 pEllipse, 椭圆
# Z0 s# x8 z8 }, R! [; h7 b) UEmpirical distribution, 经验分布1 ]$ O2 b3 f% T
Empirical probability, 经验概率单位
5 v! s5 [- Q: p5 y- uEnumeration data, 计数资料0 H$ \) k, Y+ J5 }. h E
Equal sun-class number, 相等次级组含量7 ~, f* f1 X9 Y$ I0 ?
Equally likely, 等可能
% N! w( v9 g" e- ^' A' u- yEquivariance, 同变性2 |4 M; g# R! o' S
Error, 误差/错误
9 a5 y' o' R% m/ o* [Error of estimate, 估计误差! A6 C2 m# d3 n' Q7 s- i# A
Error type I, 第一类错误! M. w* D& c4 @# o1 ^
Error type II, 第二类错误5 i: J' G B, Z6 U
Estimand, 被估量
& X1 }# b0 H) N: kEstimated error mean squares, 估计误差均方
# B4 m+ }# n4 v8 r$ oEstimated error sum of squares, 估计误差平方和
6 E- c: Z b. i9 ^+ WEuclidean distance, 欧式距离% w) r! g( N% V; }/ b+ ]3 F0 T
Event, 事件' l% W$ d. z& A' d! Z
Event, 事件
. _% d; S+ [1 K8 NExceptional data point, 异常数据点2 |6 x3 r; n$ o
Expectation plane, 期望平面/ A4 o5 M) M) _# B: R
Expectation surface, 期望曲面) R2 M3 c3 ?; Y& j1 O; `& V/ j
Expected values, 期望值
: h9 [( @8 l- B* X& XExperiment, 实验
0 O8 M8 {9 Q MExperimental sampling, 试验抽样/ J2 H8 I$ u5 G) [
Experimental unit, 试验单位
( O+ j4 d; V' l9 l' FExplanatory variable, 说明变量: b! p# _ j( ?
Exploratory data analysis, 探索性数据分析
! |8 D+ W3 N yExplore Summarize, 探索-摘要% z5 b! k3 U, |; s
Exponential curve, 指数曲线
! ~$ ?: T* _9 C3 o) q5 z8 `Exponential growth, 指数式增长" ~" U8 L! G3 a$ G; h& a- y; e4 J
EXSMOOTH, 指数平滑方法
( r! z" n' Q2 S: r LExtended fit, 扩充拟合
L8 @) f$ B$ o; MExtra parameter, 附加参数4 p' ?8 E3 N# k1 j3 D* m
Extrapolation, 外推法# I. p% T( M6 B7 {0 x
Extreme observation, 末端观测值
7 K6 \7 M1 p' ~1 f3 tExtremes, 极端值/极值0 m; k+ i0 ]$ d) J- t
F distribution, F分布" q& k4 G: G- I- _# j
F test, F检验
8 v& p/ t. r. b/ g8 A' W, }, NFactor, 因素/因子6 `$ F4 N+ H) j7 P
Factor analysis, 因子分析
+ \& q$ I; Q/ v9 O; TFactor Analysis, 因子分析
+ t" r/ w5 o1 r" a+ AFactor score, 因子得分 ) o' P: ] S) `% j$ @
Factorial, 阶乘
" [$ j* p! ~% C( D' X/ e! x3 IFactorial design, 析因试验设计
4 \9 I N' k% t1 JFalse negative, 假阴性% ~2 \2 f9 B; J4 x. j* c) a
False negative error, 假阴性错误 V4 D+ y7 O& M9 r" j" y/ V! U3 X2 E
Family of distributions, 分布族
8 g" G2 H# B P# M$ Q4 hFamily of estimators, 估计量族$ N9 p, ?& j& D- n$ F( l: O
Fanning, 扇面
+ c F p$ l) v0 [Fatality rate, 病死率
2 \, J' O4 c- DField investigation, 现场调查3 p9 R; c! l. E4 X2 ~
Field survey, 现场调查
9 h4 \* \/ X7 S& _Finite population, 有限总体
5 W( o* M* g" f5 g' |7 g, DFinite-sample, 有限样本* \1 @7 _" _/ u9 E9 q6 p% b
First derivative, 一阶导数) Y4 w6 H U2 i: l4 q; j0 [5 q; F
First principal component, 第一主成分
9 A9 l" O. v# TFirst quartile, 第一四分位数4 _/ M# X. Q5 B, E
Fisher information, 费雪信息量' J8 _+ E3 X- z3 V8 f) n6 J* v
Fitted value, 拟合值
, g+ H! @% d' a1 B9 ^) Q4 BFitting a curve, 曲线拟合
5 I! a% O/ Y, N6 yFixed base, 定基7 x3 `, C2 m ]
Fluctuation, 随机起伏
$ {' h& X; ~: i2 UForecast, 预测
! D7 S1 o6 K# TFour fold table, 四格表9 g! l( {6 p0 o5 g5 L4 }) Y
Fourth, 四分点5 O ^$ u* A$ S2 {- K
Fraction blow, 左侧比率
! T4 |8 b9 b. |9 oFractional error, 相对误差
" q$ E% o/ V4 X7 B- S; \Frequency, 频率9 K/ Z) i: Z; ?6 h
Frequency polygon, 频数多边图
( |9 [1 K& t9 q) v# B& a8 zFrontier point, 界限点
2 T b0 Y: c9 e/ h h& @3 [Function relationship, 泛函关系, W3 N2 ? v" z/ D% ^
Gamma distribution, 伽玛分布! s! {9 a# ? P
Gauss increment, 高斯增量" N1 X" Y) \; H# h3 N8 _. u$ c
Gaussian distribution, 高斯分布/正态分布
' P- f; K: m7 F/ k2 XGauss-Newton increment, 高斯-牛顿增量
0 `2 ^1 z% s5 N) LGeneral census, 全面普查( X+ b/ b$ u! Y( R5 E$ {
GENLOG (Generalized liner models), 广义线性模型
' t3 ?2 y8 b( @Geometric mean, 几何平均数
+ z3 v0 @! a$ H+ wGini's mean difference, 基尼均差
' R, d5 _; |* l2 W1 ZGLM (General liner models), 一般线性模型 ; {! r) ?5 @1 k3 e+ o1 P
Goodness of fit, 拟和优度/配合度
' i8 y5 W: `* ?; ]) MGradient of determinant, 行列式的梯度
" I6 ]" W* }1 U: K4 o1 Q0 |Graeco-Latin square, 希腊拉丁方
4 q' G% v. _7 s& dGrand mean, 总均值
8 ^ ^% x* `- M% o) c3 U! SGross errors, 重大错误
( b6 p% n7 f. JGross-error sensitivity, 大错敏感度& x: d3 M" y8 c+ W
Group averages, 分组平均6 b( m% z: B) ] ?
Grouped data, 分组资料
& w/ l# J$ I4 OGuessed mean, 假定平均数
0 J- ^- o f5 {9 q/ O9 JHalf-life, 半衰期
) ] Q& z8 w9 V9 X4 |" [# u+ BHampel M-estimators, 汉佩尔M估计量4 q3 O$ k5 I, O; c* x. L
Happenstance, 偶然事件
. h# e" {2 h% THarmonic mean, 调和均数
4 [; u3 a0 ^5 @: y0 {/ @, dHazard function, 风险均数" a( K3 P' l( F& k
Hazard rate, 风险率) k9 a8 k! Q' B- k
Heading, 标目 % x0 s6 ^% f4 F2 N
Heavy-tailed distribution, 重尾分布+ r8 Y g. O& I
Hessian array, 海森立体阵
( o) n5 p9 L/ i2 tHeterogeneity, 不同质. z: c1 e6 Y+ ~$ D: c
Heterogeneity of variance, 方差不齐 - A% e# V8 b& B% U) N* O' g3 t
Hierarchical classification, 组内分组8 v0 W8 V3 p, Q# T2 }; [
Hierarchical clustering method, 系统聚类法+ Q4 ^' m6 j2 @8 p3 M
High-leverage point, 高杠杆率点9 U( i) J m& |. U: q9 d
HILOGLINEAR, 多维列联表的层次对数线性模型 n6 z+ t3 A' Y+ A
Hinge, 折叶点2 k' [! y, u0 M9 Z" V% ]/ D3 L
Histogram, 直方图3 [ w+ i$ X5 l! h
Historical cohort study, 历史性队列研究 % X! T l1 V5 z- Z5 I0 W
Holes, 空洞3 u7 Q* d, B4 E- ?* |( W0 v( K
HOMALS, 多重响应分析7 T) G0 n6 S3 j' n% g- q& l8 ?, A
Homogeneity of variance, 方差齐性
- Z& q! @! I" `7 rHomogeneity test, 齐性检验
" L/ [+ t# L; j( b2 ZHuber M-estimators, 休伯M估计量
+ F1 _# l1 K( L& g9 RHyperbola, 双曲线 H& ?/ q# V; ? g* Z5 U* \
Hypothesis testing, 假设检验
6 Z2 b6 z& ^& X8 bHypothetical universe, 假设总体: u+ E, D" `% \4 q# i' ~! c; ~
Impossible event, 不可能事件
- c2 D% N# d3 v( c; e+ @Independence, 独立性
7 K9 o; C0 p/ R; r* aIndependent variable, 自变量
! d) G. X$ p( a( xIndex, 指标/指数
# ]( {2 | S2 |" v/ R! p4 pIndirect standardization, 间接标准化法
# H X5 Q$ Y1 y6 }5 H- _Individual, 个体! {& M! Z9 @- t7 y7 J* y: \% s
Inference band, 推断带
; z0 x: R& i; E; k; }! z$ lInfinite population, 无限总体
% R0 d7 z0 x1 b0 P0 n( J# GInfinitely great, 无穷大
9 J9 F+ D7 h* U- [% P& uInfinitely small, 无穷小/ v1 D' P( o- X* M/ C; q
Influence curve, 影响曲线( C5 z1 F1 o) u& T1 T1 G
Information capacity, 信息容量6 H7 ]3 v5 E7 |( x; D4 v1 f7 }, J( w: E
Initial condition, 初始条件
* ^1 S' h7 W v. r, EInitial estimate, 初始估计值
/ w! Q7 I2 C4 w% Z4 c4 y( r# w4 rInitial level, 最初水平
8 I/ W" b& J) v+ [# VInteraction, 交互作用
9 P; ~2 `" l, r( ^; K5 pInteraction terms, 交互作用项/ I0 R6 O. ^( I) Y' f: b
Intercept, 截距
) E/ u# D, A/ x2 F4 yInterpolation, 内插法& S8 F% M+ D. Q8 h5 B5 m+ X
Interquartile range, 四分位距
, B! P% W- G; G; @Interval estimation, 区间估计
- [% ^& S0 q8 qIntervals of equal probability, 等概率区间 _' u" n; e( s% e S
Intrinsic curvature, 固有曲率
; i4 r8 @7 N9 n8 H9 P: @$ b+ uInvariance, 不变性
% o8 Z+ a4 p8 h: z( d2 v, jInverse matrix, 逆矩阵* F3 y/ ~1 n" G3 A. {$ U# R
Inverse probability, 逆概率
( M9 |8 x4 ~% E u# wInverse sine transformation, 反正弦变换, ]1 y( r6 ?/ \ a7 T7 K
Iteration, 迭代 . _9 q5 U8 q2 ?% l* P# f
Jacobian determinant, 雅可比行列式
" P- ?9 R2 X& W$ e+ e8 _4 VJoint distribution function, 分布函数* a9 f& j8 `$ j$ @; K
Joint probability, 联合概率
$ D! Y2 o: B8 [& FJoint probability distribution, 联合概率分布- v* y7 X5 S3 `
K means method, 逐步聚类法: l7 w6 }; a$ \+ |
Kaplan-Meier, 评估事件的时间长度 |2 h- j4 `, l% I+ L
Kaplan-Merier chart, Kaplan-Merier图
: L6 {4 ]2 d- {6 \- EKendall's rank correlation, Kendall等级相关 l3 P8 t0 b7 _
Kinetic, 动力学5 g" W6 Q; u4 f5 M: p! B
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
$ _+ n% i6 {* j; c- r4 z/ `Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
8 U5 F, t% c! d2 B! n2 WKurtosis, 峰度
* u" J& v0 ]+ C+ z& W hLack of fit, 失拟2 q. e |, q' e+ a9 m- s/ F7 t1 \5 q
Ladder of powers, 幂阶梯) R6 }4 l! O* n6 D' d! _9 f
Lag, 滞后
' \4 O0 {- }2 Y0 V8 |Large sample, 大样本8 s* A2 w" O) m, z
Large sample test, 大样本检验
3 b9 i L2 T# ^, FLatin square, 拉丁方6 r" H, |9 s6 `* u
Latin square design, 拉丁方设计( O; X8 _( A q% w/ q( q
Leakage, 泄漏
6 W6 o( j8 z c% Z/ L& QLeast favorable configuration, 最不利构形% o4 {* Y+ K# z' k! u
Least favorable distribution, 最不利分布
* }! ~8 ?+ c6 w( tLeast significant difference, 最小显著差法. b& x% e8 `& y+ P; g! S& `
Least square method, 最小二乘法: Y3 x3 K6 j9 A, Y, G$ |& l
Least-absolute-residuals estimates, 最小绝对残差估计0 h5 ^# i. O( f! `7 D) b
Least-absolute-residuals fit, 最小绝对残差拟合
3 H1 f4 P. R* Q8 sLeast-absolute-residuals line, 最小绝对残差线
8 N' N& T0 a3 X2 ^" E, B# DLegend, 图例# s- p% K; T6 f8 P
L-estimator, L估计量
- Q& W' T# @) j3 oL-estimator of location, 位置L估计量: t0 L7 L3 a3 Z8 o8 q; q
L-estimator of scale, 尺度L估计量, R5 a5 L" i4 N2 d
Level, 水平( }' u& v$ V0 @4 Q
Life expectance, 预期期望寿命
9 l+ l% [# i8 M4 ^Life table, 寿命表4 m% N% K! M1 n
Life table method, 生命表法. [/ f' O n/ q \# C3 p
Light-tailed distribution, 轻尾分布2 ^) `7 ^6 S5 r6 z7 `% {9 `
Likelihood function, 似然函数
& G1 `; J6 b. d* yLikelihood ratio, 似然比
2 Z* F% C8 ]5 Q3 M7 u6 Sline graph, 线图
4 m' h. E: e3 u$ o0 OLinear correlation, 直线相关7 G2 F/ ~) ^" \2 z4 S
Linear equation, 线性方程
- y" e6 T% ]4 t& n/ K: m* ELinear programming, 线性规划( z: i8 V0 q5 t* a
Linear regression, 直线回归/ e/ _* c" H9 z: Z2 s
Linear Regression, 线性回归
1 g* s; ~9 l5 y" t4 r3 m' qLinear trend, 线性趋势
I# i* N7 E4 LLoading, 载荷
/ h% x* b9 h, JLocation and scale equivariance, 位置尺度同变性
2 T1 S' R% m k* ^; \Location equivariance, 位置同变性
. q& v B" O. Y) Y& }, a. V9 {5 QLocation invariance, 位置不变性
) `6 F; y2 B. \: b1 q, P5 HLocation scale family, 位置尺度族, Q! [3 A" ?5 f/ p0 |0 T
Log rank test, 时序检验 % D: H/ ?. `, X1 h B
Logarithmic curve, 对数曲线* F( U* S* K2 d b
Logarithmic normal distribution, 对数正态分布
4 m6 N$ b' f7 J! a+ M- JLogarithmic scale, 对数尺度
! V2 e n2 ^2 ~# [. m) cLogarithmic transformation, 对数变换$ a2 e- v8 w$ u
Logic check, 逻辑检查
# `3 L! _% u7 n5 y% `+ X3 mLogistic distribution, 逻辑斯特分布8 j$ R- a0 e/ S, D! S$ l7 G
Logit transformation, Logit转换
. k0 I& Q$ y( `% i! VLOGLINEAR, 多维列联表通用模型
; T. u5 M, H" B7 TLognormal distribution, 对数正态分布3 _4 n& d; U% I+ s+ o7 Z" v
Lost function, 损失函数- A. E- z- }6 @& K
Low correlation, 低度相关
+ }8 E7 a# \6 K) X& zLower limit, 下限
3 X! H+ i6 ]6 S7 M F* G) LLowest-attained variance, 最小可达方差1 u3 q2 `* N1 C0 G
LSD, 最小显著差法的简称6 b! {: H5 f2 E1 {
Lurking variable, 潜在变量
( n! L/ S/ r% O$ k) E$ q OMain effect, 主效应
+ r+ ~% c+ ]- V: m, E4 pMajor heading, 主辞标目
: ^; ] l; S F+ C$ L1 J# AMarginal density function, 边缘密度函数& d' G' H; Z' G
Marginal probability, 边缘概率
* y) l3 t% C; }8 l# b( V" aMarginal probability distribution, 边缘概率分布
* c' D6 X7 F8 vMatched data, 配对资料
, i& Q( L& _3 C1 j/ NMatched distribution, 匹配过分布
9 I& q8 Q% Q3 B' n0 kMatching of distribution, 分布的匹配
9 [4 ]3 t( s$ }3 e2 b) TMatching of transformation, 变换的匹配
: Y3 f l( ?9 L% F( L ]2 E( wMathematical expectation, 数学期望4 N- s: M0 S& V4 K M
Mathematical model, 数学模型
+ r. I( n5 b/ c! ^Maximum L-estimator, 极大极小L 估计量5 k; R" B9 t0 j$ P* H d
Maximum likelihood method, 最大似然法
6 d. s5 h- p: u3 H! ~ iMean, 均数
[2 r( I( k; a1 |) ]5 m& nMean squares between groups, 组间均方, g4 T- Z3 d9 c. r4 @9 c/ g0 o: }; \
Mean squares within group, 组内均方, c- O( C5 t( L, f% i6 L$ ~
Means (Compare means), 均值-均值比较6 a9 |, r# n3 ?9 z
Median, 中位数. r( [( k `2 `) c% ~8 u" _
Median effective dose, 半数效量6 P+ S; ~1 A+ C9 y; b
Median lethal dose, 半数致死量
+ W3 p. c7 B) N" @2 EMedian polish, 中位数平滑
+ ~% ?+ t% D8 e: L9 A; H1 mMedian test, 中位数检验 z4 Z7 y& u: p& M W4 L
Minimal sufficient statistic, 最小充分统计量
/ ~6 k: Q+ u! w( C/ EMinimum distance estimation, 最小距离估计
4 L9 z9 ^1 R( ^+ O" D+ j/ [/ j* tMinimum effective dose, 最小有效量
& W3 V9 W( [! M8 O. eMinimum lethal dose, 最小致死量
* l& c+ V/ k. M9 r/ O& e: tMinimum variance estimator, 最小方差估计量, V" g# P+ b5 |" B, i# h* J: q0 ]) k
MINITAB, 统计软件包7 ]5 ~. I: Z5 Z1 P
Minor heading, 宾词标目; X( }# H( v2 `% A* j! w4 J
Missing data, 缺失值
, }. S l1 T( t4 c9 xModel specification, 模型的确定5 I! Q+ F' u+ c* O
Modeling Statistics , 模型统计) w y4 n: K. V7 i% Z* J3 x4 a
Models for outliers, 离群值模型
1 p0 b, Y* Q+ H& J1 qModifying the model, 模型的修正
w- i3 X6 O9 K4 z" E1 u- H- uModulus of continuity, 连续性模
; h8 ^5 V# ^2 {Morbidity, 发病率 F8 [( d$ k" e
Most favorable configuration, 最有利构形
! y5 B1 W1 L$ K( ~* B. o* B/ [1 _Multidimensional Scaling (ASCAL), 多维尺度/多维标度) G1 Y, e7 a2 v6 @1 D
Multinomial Logistic Regression , 多项逻辑斯蒂回归
) V1 C' q+ y' b+ s" K2 M LMultiple comparison, 多重比较
8 T5 B( `- M$ ]8 r- F mMultiple correlation , 复相关
) Y3 s; y* K5 n. t9 b( Q7 V3 VMultiple covariance, 多元协方差
$ Q1 T- l+ F4 yMultiple linear regression, 多元线性回归
* ?! F! x/ v$ n0 Q# {Multiple response , 多重选项
: T/ x- w9 m* _. `' ~' F6 v7 D& lMultiple solutions, 多解( }/ C, G% D& Z. f- j( X. T2 b
Multiplication theorem, 乘法定理. f3 T; B Y6 Z$ {/ V k3 h
Multiresponse, 多元响应
4 k; \1 ^4 e0 G; ~/ SMulti-stage sampling, 多阶段抽样
3 |' g# Y- R4 T9 C! FMultivariate T distribution, 多元T分布
, v( g7 ~' B# bMutual exclusive, 互不相容$ k4 B8 H& b0 k/ X e
Mutual independence, 互相独立
) [, Z1 J+ p; z5 LNatural boundary, 自然边界
& o$ G/ I$ M1 ~! l/ KNatural dead, 自然死亡8 D( S5 u j8 c
Natural zero, 自然零
' W1 B. ^' ~0 H6 qNegative correlation, 负相关; J, S* ?+ ^; N
Negative linear correlation, 负线性相关5 t9 j( Y! m8 u$ S0 _
Negatively skewed, 负偏
( _8 { h4 \2 P) [# gNewman-Keuls method, q检验
, W0 ^3 m( X5 VNK method, q检验
- n5 V' Z( V8 r/ P- Y P! lNo statistical significance, 无统计意义
& B6 b" h# O! Q( _* Z2 T# r' l+ UNominal variable, 名义变量9 ^2 n6 C5 ~$ `2 I; q1 _/ \( p
Nonconstancy of variability, 变异的非定常性8 v3 ]' n* X: c( y
Nonlinear regression, 非线性相关
' l) r7 z# l! k3 W7 eNonparametric statistics, 非参数统计7 @2 a- G5 e7 x5 M3 `
Nonparametric test, 非参数检验7 o, Y3 @$ Q2 w t
Nonparametric tests, 非参数检验4 Z, I: w1 F5 ^7 A1 k
Normal deviate, 正态离差 O& ~+ ~$ X, @1 K o0 i. Q# p# R
Normal distribution, 正态分布4 m8 u6 P h5 ^9 V3 L& g: X
Normal equation, 正规方程组7 n; b. Z# D1 B: }2 B0 s8 d" K. z
Normal ranges, 正常范围
2 E& j0 P- |- o7 M o. w" ONormal value, 正常值
; z9 b: k' x+ U1 N: f1 p1 E* q7 s* \Nuisance parameter, 多余参数/讨厌参数$ |5 d% K; K# I$ w$ Q( F8 S! Z O- o
Null hypothesis, 无效假设
: S1 M% j' K4 }7 C3 vNumerical variable, 数值变量
3 k; p+ S+ o) X5 lObjective function, 目标函数( R! V, _8 ], x0 @7 ^; [; m
Observation unit, 观察单位0 F" ^. Y" A) Y" }/ j
Observed value, 观察值
- [; B4 n& ]& E# ~5 Q. jOne sided test, 单侧检验 b6 K, L8 x. P/ J- w- S Y
One-way analysis of variance, 单因素方差分析, M3 U3 M% ^9 [3 a O/ i
Oneway ANOVA , 单因素方差分析8 B& m. @, m, h3 M- f& ?$ _
Open sequential trial, 开放型序贯设计* Q3 t$ ~: `" x5 J
Optrim, 优切尾
! j% a. V) U2 k7 I9 T. ~Optrim efficiency, 优切尾效率% M% t& X" X' p' W: r+ L- c6 B
Order statistics, 顺序统计量( u1 t3 p5 ?( D" B @# i
Ordered categories, 有序分类
: Z4 J, ]; G8 C% `$ fOrdinal logistic regression , 序数逻辑斯蒂回归
4 |+ C/ z8 d6 B" Q6 Y1 S- sOrdinal variable, 有序变量8 B, P3 k; i8 `1 d! k$ I4 p, w
Orthogonal basis, 正交基
. J: p a$ T0 L/ LOrthogonal design, 正交试验设计
5 N. w1 Z8 B1 ] qOrthogonality conditions, 正交条件
) i" }& `, r+ c5 J, z) JORTHOPLAN, 正交设计 5 o" ]! i- \$ ^9 H- z$ f
Outlier cutoffs, 离群值截断点
8 s# T& l1 b% R! k m& @Outliers, 极端值
* X7 _1 h) |2 |" w8 `OVERALS , 多组变量的非线性正规相关
; I( X' L% \7 c& }Overshoot, 迭代过度
6 t/ N( ?! j$ I2 _* sPaired design, 配对设计2 d" \4 h7 J: Y; n5 K. c
Paired sample, 配对样本
4 Q& }3 w/ t4 N$ w( v3 M* l. {: W# EPairwise slopes, 成对斜率8 B( B+ `* E+ f' u& H q
Parabola, 抛物线2 D! l H0 t0 j- {* V
Parallel tests, 平行试验* j3 ]! t0 S# F8 B( X+ P" d
Parameter, 参数
8 l: v4 A9 v$ ^; `4 Z# }Parametric statistics, 参数统计
- s1 p# @& `& y/ C) c5 u& I' ]% PParametric test, 参数检验+ y/ @1 q# I, q5 d3 _7 s5 ^) w
Partial correlation, 偏相关1 ]' f" S% K' c. i6 a. r
Partial regression, 偏回归* G* p# h5 B3 G. Q$ _$ f
Partial sorting, 偏排序
& G. Y2 r1 H$ W$ sPartials residuals, 偏残差
* o2 p! y) ~* I8 x# G8 fPattern, 模式
8 E! \+ @# U- P; XPearson curves, 皮尔逊曲线. X" O0 m- H) K
Peeling, 退层) n! J$ w* K/ N* Z8 `
Percent bar graph, 百分条形图% H5 A; B1 _2 W5 b$ v
Percentage, 百分比
" v$ E# f! E# B/ I" J$ cPercentile, 百分位数' @5 @ V$ X( g' z' W
Percentile curves, 百分位曲线- P `8 o, W' n n$ e
Periodicity, 周期性# H4 R8 A4 T" ^+ Z7 V) y o* N# W
Permutation, 排列. q' S0 _8 [* o" t& w$ }
P-estimator, P估计量" R+ C3 ?; y; L9 F5 {
Pie graph, 饼图
) F6 `& i: ~! {& A7 jPitman estimator, 皮特曼估计量
$ F; ?6 x( [9 K- ^: xPivot, 枢轴量
4 E, l1 y6 ~# g, @Planar, 平坦$ |& E, k; [5 I M. |- V) L
Planar assumption, 平面的假设
: n' i# j7 c) L5 s8 J. y: SPLANCARDS, 生成试验的计划卡
% c% ~; e" R2 H2 [ _+ v- }Point estimation, 点估计* Y7 H7 _3 i I3 ^7 _. _
Poisson distribution, 泊松分布& I5 C9 ]$ ^! V5 |) Y
Polishing, 平滑" q; r4 M! Q# @, x2 f9 v9 U9 L
Polled standard deviation, 合并标准差9 T, O; M$ d. V& H, p+ h
Polled variance, 合并方差3 j6 e4 Z0 l1 R7 y5 j# ?/ [4 F- A
Polygon, 多边图
/ F B9 O1 X( z# ]2 w1 A3 d( {$ kPolynomial, 多项式8 }% F0 K* M2 d% @
Polynomial curve, 多项式曲线9 k6 H3 G3 k; n/ Z3 w8 U6 Q7 R
Population, 总体7 H/ T" U3 {# E6 ^3 j- l
Population attributable risk, 人群归因危险度$ V9 |# A# U: H2 ^
Positive correlation, 正相关, @9 U! B: o; j3 j$ U( s2 I
Positively skewed, 正偏
2 }1 n2 r) U8 f s" Q9 A& v# m' ZPosterior distribution, 后验分布
. D% J& S! y1 Y4 _Power of a test, 检验效能' ~+ A5 R( v% [' I: {
Precision, 精密度% m2 v x* Z& q' _9 I4 }9 b' F
Predicted value, 预测值4 t. i0 t8 o- i* V, }; X
Preliminary analysis, 预备性分析+ \4 S0 P! }1 A; I& ]3 H7 \2 q* q2 h
Principal component analysis, 主成分分析9 h2 Z% g( m1 p/ U5 G
Prior distribution, 先验分布
1 K4 U( L1 u$ Z! S. s* ^: ~Prior probability, 先验概率) j. T- e9 T( |" R, \) _
Probabilistic model, 概率模型
: X) j9 F' x r* ^# kprobability, 概率) N$ K1 J- C. K% S; ]& ]) u
Probability density, 概率密度! E9 ]* b1 g- W
Product moment, 乘积矩/协方差
F" z* D) _/ C4 N2 n* WProfile trace, 截面迹图
9 R; m& v/ ]+ Q+ JProportion, 比/构成比
; U, W, d0 x0 s W' o1 h+ yProportion allocation in stratified random sampling, 按比例分层随机抽样
, J) J' b" W1 e2 [8 M& `1 N( ]Proportionate, 成比例5 u, N' U% d" H. G; i* U
Proportionate sub-class numbers, 成比例次级组含量: k L7 \& e) r, Z! ?: Q9 y) \4 L. \
Prospective study, 前瞻性调查
9 a/ }5 P7 D' I' } x/ W' T% ~. |+ `Proximities, 亲近性 , ?# `) y$ c7 d& a
Pseudo F test, 近似F检验
$ f' u9 y9 Z9 i2 V. i7 C. TPseudo model, 近似模型
0 g9 n- T: l. u. I3 ]Pseudosigma, 伪标准差$ o6 \" N# p1 x& W
Purposive sampling, 有目的抽样) y H/ |. Z6 G9 A" I! B% W0 s. v
QR decomposition, QR分解, \8 L& w" l1 ~, B: j0 o5 R7 T
Quadratic approximation, 二次近似9 d1 J9 s; ]1 X# U7 v7 U
Qualitative classification, 属性分类
9 @6 J4 h8 U4 N" ~* d D5 UQualitative method, 定性方法
: G6 R; W' b0 S7 f8 MQuantile-quantile plot, 分位数-分位数图/Q-Q图! @% O. X0 e4 t( K
Quantitative analysis, 定量分析
: z' r4 f$ K# r4 FQuartile, 四分位数3 k3 u8 t# L4 e" q* V# n
Quick Cluster, 快速聚类/ W2 d+ t+ Q/ U9 ~
Radix sort, 基数排序/ F! I3 w! U) b' ] T ^! C
Random allocation, 随机化分组8 m3 O7 R S% C, K+ O [
Random blocks design, 随机区组设计5 z$ j* T$ G0 c; \, S
Random event, 随机事件1 n' M$ y1 Z+ k2 [
Randomization, 随机化
! E: f, H+ ~6 m$ P2 K9 Z: U% J( N0 ]Range, 极差/全距 Q7 y& P+ }, n; |1 \/ y9 m
Rank correlation, 等级相关. K) A3 U* Q, {
Rank sum test, 秩和检验
/ E" k C6 o* M( m5 V6 gRank test, 秩检验) j9 \" M3 u' E, F/ ^
Ranked data, 等级资料$ f1 s8 z1 T, X8 p0 {
Rate, 比率$ V$ y4 {) Y9 W
Ratio, 比例6 g& ?: |9 ?" \" \
Raw data, 原始资料- T4 [9 X3 I, W8 q/ x& n4 W7 r
Raw residual, 原始残差
- b2 o, u5 e$ `9 eRayleigh's test, 雷氏检验
' S3 j1 z4 b4 u: B5 A# Z% MRayleigh's Z, 雷氏Z值 4 }0 d/ A' }' ]( o8 b2 W- ~0 w8 P
Reciprocal, 倒数# J3 U5 S4 Z5 E/ u. ?
Reciprocal transformation, 倒数变换; ?, I8 V) U/ g& p& @+ b
Recording, 记录( t1 J* D8 _3 l6 w9 s" {6 I) r& Q
Redescending estimators, 回降估计量% B6 C- s; y+ x" Y v! {
Reducing dimensions, 降维% h& u7 q! ]( w( Y! w6 a' X$ W7 `
Re-expression, 重新表达; e/ r: G$ a c- E* G7 l
Reference set, 标准组
3 f! L3 \3 p c, d! D' RRegion of acceptance, 接受域
* D( h) h% z4 W; ~9 SRegression coefficient, 回归系数9 d4 i- |1 [6 j3 ?
Regression sum of square, 回归平方和
$ Y! Z7 w; S" bRejection point, 拒绝点/ R% R: t% R. l: ?, i' T8 B
Relative dispersion, 相对离散度1 c: ]0 c- @( F1 G J
Relative number, 相对数. \$ J& h: P6 Q
Reliability, 可靠性
$ Q; b P" D; ~. @Reparametrization, 重新设置参数
8 u1 {- z) M$ Y- B) GReplication, 重复/ m4 e6 @: T, t8 |* X1 z
Report Summaries, 报告摘要
8 w" N" q+ X- x$ X# w- X3 HResidual sum of square, 剩余平方和2 L, P; w: ~; c* u1 S0 d1 {! m- x2 g
Resistance, 耐抗性
' Y: c" k. U8 D* z- { Z( [ I3 r, tResistant line, 耐抗线
( ~! W% x9 B9 c) F# xResistant technique, 耐抗技术
) {* d# k3 ], Q2 nR-estimator of location, 位置R估计量* C; I% P- c7 [! f) h
R-estimator of scale, 尺度R估计量
, z, Y. l/ J# s# \" H; z' `# hRetrospective study, 回顾性调查
7 j+ x5 G% e7 dRidge trace, 岭迹, e1 k/ [$ L9 j1 K1 B9 V2 o
Ridit analysis, Ridit分析
4 X' A4 e" y- sRotation, 旋转! B6 u, W* C0 Q& K* Y* L
Rounding, 舍入
4 [. |1 Q/ l/ X; C* X" pRow, 行
6 f0 W7 \8 X, g0 o* o5 lRow effects, 行效应, C! b5 P# {) ^6 a
Row factor, 行因素
/ X/ n" {; v2 U( c- kRXC table, RXC表% G, ^/ s+ } V
Sample, 样本
8 t. }) Z2 L4 i/ G8 YSample regression coefficient, 样本回归系数
2 k: x6 _; Q, f9 uSample size, 样本量
0 d2 O0 J2 t" L6 @- ISample standard deviation, 样本标准差/ m! [3 N9 f& Y2 ^- F
Sampling error, 抽样误差
/ u! s! ]* P ?5 m8 @3 MSAS(Statistical analysis system ), SAS统计软件包3 K6 L/ S) W2 _) R4 p+ F- K$ c2 Q# C( L
Scale, 尺度/量表
+ g& C% I- t* d4 WScatter diagram, 散点图
# f5 H: w3 `& V9 X) U& gSchematic plot, 示意图/简图
3 [; K( w) u& ~+ uScore test, 计分检验8 ~2 {4 J3 G. U. c
Screening, 筛检7 k1 \! c3 h- e/ A# E6 \. T
SEASON, 季节分析 ' T( A- x. t) o5 b9 A
Second derivative, 二阶导数8 E9 e6 f( T; t8 I; f- ~# \% B! }
Second principal component, 第二主成分
# S3 C7 p* m1 C' c/ Y" X) @' j# ?; hSEM (Structural equation modeling), 结构化方程模型 . C4 _' f* l5 D6 `
Semi-logarithmic graph, 半对数图
/ A) R+ Y* h/ R4 JSemi-logarithmic paper, 半对数格纸' q1 m: H! v, |' l
Sensitivity curve, 敏感度曲线8 b1 _+ y5 Z' c, L; C
Sequential analysis, 贯序分析 d; L4 d6 J& ~# _8 h! ^4 ?
Sequential data set, 顺序数据集: w! G w3 _& u" W* {
Sequential design, 贯序设计. q, _" R7 A% Z; k I
Sequential method, 贯序法2 I# ~2 }! D" C! Q5 h$ \
Sequential test, 贯序检验法. n2 T/ T- H# `: e+ B
Serial tests, 系列试验
8 g& A$ A2 o, QShort-cut method, 简捷法
. v& ^5 k. |' S" l1 P$ @Sigmoid curve, S形曲线
3 k. n# }7 d- r* MSign function, 正负号函数& D. g: E! R9 h
Sign test, 符号检验- o+ I) ]: s5 P3 j' \) N
Signed rank, 符号秩3 @8 v, U, ?7 f: B
Significance test, 显著性检验- n! ]) ~1 y# r4 \( W. B
Significant figure, 有效数字
% U& l- d5 | p# l, j/ H6 xSimple cluster sampling, 简单整群抽样
* p1 _$ f/ `! tSimple correlation, 简单相关2 R8 ?6 b% ~# R2 z$ ^
Simple random sampling, 简单随机抽样
& g- B- g0 | W6 B$ N4 o/ w% \Simple regression, 简单回归
0 B7 n# Q2 t% z5 \1 |/ u4 F0 o1 Isimple table, 简单表
0 X" n; B: |8 P2 t; ^Sine estimator, 正弦估计量
, A2 Q( V6 X; a5 Y( B CSingle-valued estimate, 单值估计* {3 }3 f$ c( e. i$ K1 ]/ M. F* \
Singular matrix, 奇异矩阵
4 Q) |; i6 M: I( X% [Skewed distribution, 偏斜分布" c4 h) X P& g7 p' x8 _& D
Skewness, 偏度% d# b. b7 D) o, }; q' N' }
Slash distribution, 斜线分布
/ }8 } }6 L4 g0 \Slope, 斜率: E8 K* J6 U9 m5 W
Smirnov test, 斯米尔诺夫检验6 e$ {# U* a# O# S
Source of variation, 变异来源
! Q* z0 r3 j1 QSpearman rank correlation, 斯皮尔曼等级相关
( U% s, O% i" k: Q% qSpecific factor, 特殊因子' p: n$ k8 X! s2 m$ W6 J4 A
Specific factor variance, 特殊因子方差
' l; O) k0 A; t2 p- NSpectra , 频谱
5 h+ [5 ^8 ^- vSpherical distribution, 球型正态分布. [ E/ u2 A* N# C/ y' S9 y
Spread, 展布
. p4 u2 j9 N. o1 wSPSS(Statistical package for the social science), SPSS统计软件包1 u6 z4 n/ f4 D1 y2 ^
Spurious correlation, 假性相关
/ Y4 d! T! E4 T2 H* ySquare root transformation, 平方根变换
5 D4 z4 r9 x/ |( k& u# BStabilizing variance, 稳定方差2 B3 {5 f7 T' S. M
Standard deviation, 标准差
7 i6 v/ l. H. d7 b" H; wStandard error, 标准误
# o4 x# J' |+ o j: v; qStandard error of difference, 差别的标准误+ r! H' ^2 r/ {
Standard error of estimate, 标准估计误差
* a0 F/ j. t C& J8 J( o; P# g& n( UStandard error of rate, 率的标准误
L( r' t" Q& r& T0 T+ ~. N* EStandard normal distribution, 标准正态分布
7 i, L1 C& A2 LStandardization, 标准化$ u) |0 ~/ b8 o* `; Z! F
Starting value, 起始值
$ M6 F& {1 X) m' u( ?6 nStatistic, 统计量* @! w0 \! a5 w
Statistical control, 统计控制
" U5 d% |! c; B( wStatistical graph, 统计图9 g# [0 H, y& z w- J% ~+ s Q
Statistical inference, 统计推断
; Q: O9 @- o$ ZStatistical table, 统计表
* J, F; U2 ~& @$ n6 h" ?Steepest descent, 最速下降法
) _3 Q& v8 O" j% L, C+ t$ R/ }Stem and leaf display, 茎叶图 r& @* G" v: I! y6 a& b
Step factor, 步长因子
+ c# d% f4 m5 FStepwise regression, 逐步回归! F8 K7 U2 C! u" i- x) z! ~5 K& S
Storage, 存
' y: g- e1 j hStrata, 层（复数）# @& ]! }4 @( w* |
Stratified sampling, 分层抽样3 H: q8 B3 i# n/ m7 A. A, q
Stratified sampling, 分层抽样5 g! f7 z& y+ @ D# s
Strength, 强度
7 }$ F5 A4 G- c# h8 w5 L% HStringency, 严密性
: y2 E& y* e6 ^, D6 k5 n5 gStructural relationship, 结构关系
% s: [% j( U6 v3 zStudentized residual, 学生化残差/t化残差! z2 q5 G4 |. Z, C( l
Sub-class numbers, 次级组含量( g( Y5 v* x$ W/ s( G
Subdividing, 分割
, {2 [- i4 T8 ISufficient statistic, 充分统计量
9 S1 _8 S) @! l' [) y, s% z$ G* c* m* aSum of products, 积和" m$ A% d4 n1 ~; m' Y
Sum of squares, 离差平方和6 W. R# l8 M# v3 P) M9 F; Q! u0 z
Sum of squares about regression, 回归平方和
% ^: X/ U& E7 F# _& p' DSum of squares between groups, 组间平方和+ N4 N" U# l* i( [+ I% H7 @" _
Sum of squares of partial regression, 偏回归平方和* t6 l: }" q z+ ~% O. F
Sure event, 必然事件
* W7 e: V- _+ X+ U" d8 I: H+ uSurvey, 调查
# A$ W7 a, d& Z' u! k: [2 hSurvival, 生存分析- _$ c6 W$ m/ N: s& F8 N
Survival rate, 生存率$ H, m& u/ z. H& }7 p, Q
Suspended root gram, 悬吊根图
' Z, |& y1 k0 s, LSymmetry, 对称
. E, p* I' }1 f3 ^' L4 o2 p+ sSystematic error, 系统误差
+ v' @3 ]6 i' K1 e! Q pSystematic sampling, 系统抽样" D U1 r9 a7 q5 T7 ], q% _
Tags, 标签
+ `/ N) g9 E& _% Y$ kTail area, 尾部面积
) q! q1 {1 E& |3 gTail length, 尾长
& L5 r2 h7 {3 T T+ V3 {3 F. G/ @Tail weight, 尾重+ q) o. F2 R& c; D- m
Tangent line, 切线
2 z; k; N6 ~" {; y+ K6 ETarget distribution, 目标分布! {" l/ z7 s4 Z( ]7 T7 V2 T9 G
Taylor series, 泰勒级数
' k+ S9 M' L2 h( g& m. }) \Tendency of dispersion, 离散趋势
7 S) e! y8 |- ~/ A& \4 mTesting of hypotheses, 假设检验7 d4 w8 {& O3 r W, f: a4 L
Theoretical frequency, 理论频数( Z0 P, ?- O- W* x
Time series, 时间序列5 K# @# Z& P. K0 R" [3 z
Tolerance interval, 容忍区间
7 t$ R4 d) m' C4 |2 g; WTolerance lower limit, 容忍下限
* v$ \9 Z' _# X" VTolerance upper limit, 容忍上限/ s& X# \9 U7 W
Torsion, 扰率
s+ }/ c8 s H( U) _6 x# ~2 oTotal sum of square, 总平方和7 q$ w* a, x0 z+ N
Total variation, 总变异
, T5 U' O0 ~7 g, oTransformation, 转换
% G f0 {. r* p' s- @$ UTreatment, 处理
, {/ W) Q, f; `) xTrend, 趋势3 L+ ~1 J$ w$ R! x% d! d
Trend of percentage, 百分比趋势- M9 v- J I5 t1 f, ~- p' Y
Trial, 试验
4 \% U' O6 ^1 l( M4 |7 c$ ^Trial and error method, 试错法
. o Z4 G3 V" V3 {" e" y+ l4 uTuning constant, 细调常数
" [- ]6 r, w: n% ]; STwo sided test, 双向检验 X% h, g) [, G, v' M3 G4 i
Two-stage least squares, 二阶最小平方
# ^- o9 o% o% A3 J4 N( rTwo-stage sampling, 二阶段抽样
j, s0 p6 r; |( T5 q) K6 RTwo-tailed test, 双侧检验, d- a+ x6 z* ]8 S2 ?! C$ `4 n
Two-way analysis of variance, 双因素方差分析! \" ]5 h z" c
Two-way table, 双向表" j- R V6 k6 B' Q8 x4 {
Type I error, 一类错误/α错误# `0 B" b" W! L/ q5 I- A
Type II error, 二类错误/β错误1 V; ?% P6 y1 j
UMVU, 方差一致最小无偏估计简称8 e+ \4 B5 m4 a8 I
Unbiased estimate, 无偏估计
, C) W$ O9 k& N% v1 }" w, dUnconstrained nonlinear regression , 无约束非线性回归: K7 s& r9 \8 o! q8 F* _
Unequal subclass number, 不等次级组含量
2 r" H3 D+ d$ B1 i7 zUngrouped data, 不分组资料
( B2 N/ l. H% T4 I+ |" ~Uniform coordinate, 均匀坐标" n1 }& X, \- ?; P
Uniform distribution, 均匀分布0 {2 G. Q7 Y: l( u0 F" a
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计( l8 J( \( T; F( t0 U$ d
Unit, 单元
! u: X! S* s8 A9 p, v- U( V) oUnordered categories, 无序分类
0 r4 y4 ?+ b2 ^4 T( E% _Upper limit, 上限* [ g; b! D/ S% J7 n
Upward rank, 升秩( A- u. K F( W
Vague concept, 模糊概念+ I3 j+ c- b: V/ w1 t% ?! w
Validity, 有效性
' Z, n0 i8 L$ P' r' p s: _VARCOMP (Variance component estimation), 方差元素估计
5 k2 |# D; \ I0 M) CVariability, 变异性
4 W$ w" l! ^1 s% I3 jVariable, 变量
) b* j3 i& m* z# y: I" N1 D: h, TVariance, 方差4 [5 w$ j7 S/ s1 r
Variation, 变异' j3 _+ x, V% N& t$ S
Varimax orthogonal rotation, 方差最大正交旋转9 l. e1 t0 H; e8 V& _/ x
Volume of distribution, 容积( d! p2 n+ Q7 V. t% T* a5 \7 X
W test, W检验
; u4 y+ \' P6 BWeibull distribution, 威布尔分布1 Q9 b Y2 v8 C: t) N
Weight, 权数
7 n& d5 v# N, r GWeighted Chi-square test, 加权卡方检验/Cochran检验
# p, E0 k5 H6 R1 U Y- v* gWeighted linear regression method, 加权直线回归0 ~8 O) l, ~. n( L
Weighted mean, 加权平均数! R. x2 @9 K9 X
Weighted mean square, 加权平均方差
* L: r& c, L3 B- Y" h' L5 }Weighted sum of square, 加权平方和- D' B7 E/ e' r" D, y+ E9 s
Weighting coefficient, 权重系数
& P/ x8 ?$ `. q: \9 \- ^' dWeighting method, 加权法
3 `. K6 \" y A# F; E% I9 G# IW-estimation, W估计量4 @( t% E6 e8 y4 }, k
W-estimation of location, 位置W估计量
! U1 q' b& _% @5 oWidth, 宽度1 o8 u& |6 s' ^0 q4 h% j
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验& K( x# n( |' D( Y% |2 P
Wild point, 野点/狂点
0 ~5 h9 @) }7 {) T5 _( dWild value, 野值/狂值
4 o. ^8 b8 a2 K, _+ Z+ u2 k, ~Winsorized mean, 缩尾均值& j1 c, b! ^- y7 {7 u0 Z Y
Withdraw, 失访 0 _" [0 I6 `8 P$ m4 {' _# j
Youden's index, 尤登指数
( C. V- J* B5 T7 E: aZ test, Z检验8 ^0 A; ~9 j* L
Zero correlation, 零相关1 O! y! A$ ]$ Z$ L1 y o% O* \
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
