|
|
Absolute deviation, 绝对离差7 l2 a/ o! F' t, x: o
Absolute number, 绝对数7 G& w. s0 t6 f0 c
Absolute residuals, 绝对残差' g+ I2 m7 J# g7 i! m
Acceleration array, 加速度立体阵
2 h( d" j7 R# _+ s6 T6 t' A9 IAcceleration in an arbitrary direction, 任意方向上的加速度
1 r+ U, I, K1 I P* U9 gAcceleration normal, 法向加速度
& F# u- [; i. E6 `/ kAcceleration space dimension, 加速度空间的维数
+ s5 y4 N1 k% _ {0 ]) q8 r- p$ Q- ZAcceleration tangential, 切向加速度
! G; B' i3 r: @3 a# QAcceleration vector, 加速度向量7 A( p6 K# s+ p) S: v
Acceptable hypothesis, 可接受假设
" c& v2 c) f& J5 q( l2 c) B7 jAccumulation, 累积' }. k0 H1 M' S+ L" M; X
Accuracy, 准确度
. k2 N2 g: F& [3 W9 Q- GActual frequency, 实际频数7 b, c0 U9 A5 _9 p* p; I
Adaptive estimator, 自适应估计量
1 z" d0 V% p, }. k6 y3 rAddition, 相加5 y6 J8 x2 U* S
Addition theorem, 加法定理
3 Q4 x7 X1 l4 Q# Y. W6 \) U {- rAdditivity, 可加性' H. u }/ s. n
Adjusted rate, 调整率9 a0 Q! a+ V/ x# D1 W) e, c3 @ }0 n
Adjusted value, 校正值" k% M( i8 ?7 S9 q( F* j
Admissible error, 容许误差
$ I; D) @9 M- R8 P9 ]9 \Aggregation, 聚集性6 ~9 \! q) K4 Q
Alternative hypothesis, 备择假设" `0 o$ c8 J3 I$ Z/ F4 C
Among groups, 组间7 v( P% k4 k0 d; U
Amounts, 总量
2 \" h5 T0 L8 w; |Analysis of correlation, 相关分析5 [. l: B7 _( o+ f7 [% J
Analysis of covariance, 协方差分析
{6 I* ]3 N& t5 d, Z; t% e# h' E4 |Analysis of regression, 回归分析$ E2 o) C4 e5 D# j! [" {
Analysis of time series, 时间序列分析
, C) f h1 V1 P% S: y& ]1 NAnalysis of variance, 方差分析
# f ~$ B* T" G2 Z. s& X6 W: uAngular transformation, 角转换
2 o4 m- z A) p: Z5 W0 dANOVA (analysis of variance), 方差分析: u9 s& S$ b" m7 I9 v
ANOVA Models, 方差分析模型
7 I2 _2 h5 ]: o- ?4 eArcing, 弧/弧旋
# I" V* M& n% J/ a; a$ s2 K( c8 k7 lArcsine transformation, 反正弦变换
( y0 w- O/ J# l1 Z$ q. @6 |Area under the curve, 曲线面积1 M, c4 E7 B, R+ p+ F! P
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 - T9 ~5 i# J6 ]% B, S+ ]
ARIMA, 季节和非季节性单变量模型的极大似然估计
+ F1 ]& g: e8 A0 v7 hArithmetic grid paper, 算术格纸
( o# T- c. K" |% _( k( k2 q" DArithmetic mean, 算术平均数, R4 \3 J: H7 I3 ~% o- U4 B/ _
Arrhenius relation, 艾恩尼斯关系
- ^( Q- ^- @" K8 _8 }Assessing fit, 拟合的评估
. o# N# i( F2 D }Associative laws, 结合律& f& H' j2 V; h1 x3 H3 `8 V
Asymmetric distribution, 非对称分布
d0 f: g3 b$ yAsymptotic bias, 渐近偏倚( W/ ~8 s" K# q* M( Q! F
Asymptotic efficiency, 渐近效率! ]! Y+ c! O7 O
Asymptotic variance, 渐近方差
" P9 v* s( h" q8 Q; a4 P2 g$ B, M7 \Attributable risk, 归因危险度
% F5 ~* a: ~9 P# O* p& t. LAttribute data, 属性资料
6 b( n0 H( E1 @# c' {9 \* l/ H xAttribution, 属性
, t0 y# l' o$ o9 n0 \Autocorrelation, 自相关7 f/ v4 C$ {; y* A! J2 W
Autocorrelation of residuals, 残差的自相关( r& S6 A- h- I: C- K$ k
Average, 平均数+ s# B3 A N/ y
Average confidence interval length, 平均置信区间长度, C4 b) H4 z& k. H- R$ L' n; I+ g
Average growth rate, 平均增长率" Y5 x G: X2 Q4 P' J
Bar chart, 条形图
( `" Q: f+ m& G0 P) E* x4 }+ yBar graph, 条形图2 `9 C4 L; }) J: |: f$ q H
Base period, 基期
4 z( \( Y+ a& n6 O5 OBayes' theorem , Bayes定理% k7 E3 M& w4 F# ~# H1 J" i. M6 ^/ _
Bell-shaped curve, 钟形曲线
8 {, Y1 k+ r# M* y0 S" z, zBernoulli distribution, 伯努力分布2 @; f8 {: _* z, i! P; a
Best-trim estimator, 最好切尾估计量
4 z8 o# _; D# U/ c* M) A$ qBias, 偏性
+ j5 b: [4 Y/ ?' I. z* Q% xBinary logistic regression, 二元逻辑斯蒂回归
, ?" L& g' e- I( C) H) ]2 sBinomial distribution, 二项分布
5 L2 f. ~8 C$ p+ e5 fBisquare, 双平方
/ v4 b; C0 L8 p' W! X3 @' j/ w$ W: mBivariate Correlate, 二变量相关6 [& b2 _$ H% t+ }1 G
Bivariate normal distribution, 双变量正态分布+ k- W- P. N. P7 b; ?
Bivariate normal population, 双变量正态总体
! N5 `( F* |6 ~( h& p# H5 dBiweight interval, 双权区间
: G/ u+ t# {0 s) j( \# x7 a; W! vBiweight M-estimator, 双权M估计量
5 M& L: B M9 K2 I# }7 A6 ]2 hBlock, 区组/配伍组
' L. \$ W% H4 K- }! ^- ^1 I3 [BMDP(Biomedical computer programs), BMDP统计软件包
; k9 O9 N8 c% hBoxplots, 箱线图/箱尾图
# V: J: O0 ]. e6 a& D- uBreakdown bound, 崩溃界/崩溃点; j* g4 P$ s% \. V4 D# `- @, f
Canonical correlation, 典型相关. ` q& t( Y% X5 s" a* z& [3 \( k
Caption, 纵标目
7 L3 k# p2 Z9 u8 W5 ]. _Case-control study, 病例对照研究
2 G) D" c8 g4 M: `/ L. dCategorical variable, 分类变量) w3 n: L* n- h9 c8 Y# m' t8 l
Catenary, 悬链线6 A4 q6 {5 z) w% J* L
Cauchy distribution, 柯西分布& r+ q1 @+ _/ E! W
Cause-and-effect relationship, 因果关系
& f2 ^9 [ q, p3 T; MCell, 单元
6 ~) q) X0 |! X; p7 vCensoring, 终检4 t- n0 q4 }. H: y0 M, ?* F4 D
Center of symmetry, 对称中心0 D. b* W3 t7 t: M/ Z; t# f
Centering and scaling, 中心化和定标+ |7 o& a/ @+ M2 w5 a% d! ?# b; ]
Central tendency, 集中趋势
) t* C. |0 B$ Q- o- j3 cCentral value, 中心值
' o* _! P! e3 zCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
8 _* h* H1 d3 X& {0 s6 FChance, 机遇) |$ q! e; C |& Y$ n/ Q9 Q" u
Chance error, 随机误差
% ]$ Z1 `# e, b8 }% q) c: zChance variable, 随机变量0 D/ A2 Q" s4 k. P" w% {
Characteristic equation, 特征方程
/ W6 z& K; K; _. U" v5 HCharacteristic root, 特征根
* \5 U! e" z( VCharacteristic vector, 特征向量- W: x; @' N! [/ N
Chebshev criterion of fit, 拟合的切比雪夫准则: H- Z. H" H. S5 e( U0 k
Chernoff faces, 切尔诺夫脸谱图
4 Y& ]+ B$ j# |Chi-square test, 卡方检验/χ2检验 c. E+ ?( P: C+ F8 e5 K6 q+ }" u
Choleskey decomposition, 乔洛斯基分解
) c8 o0 R% \) L( _7 Y" wCircle chart, 圆图 8 I3 H: e# |$ L8 i
Class interval, 组距
$ W5 }1 }$ Q }& m( u& yClass mid-value, 组中值
1 I; Z, ^) S7 n; |/ R! X, \Class upper limit, 组上限! c9 \; G* j! o& G
Classified variable, 分类变量3 o( m* W- i) w6 `1 C( s% `
Cluster analysis, 聚类分析* l3 b$ f' j# s" W
Cluster sampling, 整群抽样
5 p3 ]+ \6 q- S/ t' P! uCode, 代码3 F- ~' a, V# u/ g/ G0 P. m. h
Coded data, 编码数据
# T6 M1 g5 O) H& OCoding, 编码
- h- H/ G2 c9 e6 T) \Coefficient of contingency, 列联系数+ W# H% ^, l# r9 i6 M* P) m
Coefficient of determination, 决定系数5 N* N% w) D \. U
Coefficient of multiple correlation, 多重相关系数. v/ A+ t( y9 Q% }3 A
Coefficient of partial correlation, 偏相关系数
( m, B4 M' \+ M. R6 Y! P" o# MCoefficient of production-moment correlation, 积差相关系数% C( }1 x% S9 G
Coefficient of rank correlation, 等级相关系数
@# ^( C# v- v7 kCoefficient of regression, 回归系数
% s+ t+ W l1 } |- ?; d9 vCoefficient of skewness, 偏度系数
! Z9 e" ~. W7 s* lCoefficient of variation, 变异系数9 A, F* R, h1 P: W1 W
Cohort study, 队列研究
8 u8 R U" E* c4 J6 N7 D8 PColumn, 列' i7 M" b3 ?# w4 I0 }5 b
Column effect, 列效应
0 p7 n! N1 m2 ]% j5 O2 `* Q; FColumn factor, 列因素
: \" C) ~. t. Y7 v: hCombination pool, 合并: d% F) p0 _8 ?. K: S8 K* |
Combinative table, 组合表$ k4 k9 x4 Q' g# Y8 }6 S
Common factor, 共性因子
. s/ S: v" H- r" s9 DCommon regression coefficient, 公共回归系数
9 g5 x; k! V- e1 @7 \; b: Y' rCommon value, 共同值
9 ]( ?5 `8 h' S7 w o- o' u. ECommon variance, 公共方差. J, u6 G% d, k$ T0 X: q p
Common variation, 公共变异
1 H: n/ z" y/ S( x# P, |% M4 k5 BCommunality variance, 共性方差
. e" S, V) N$ ~7 ~7 c4 pComparability, 可比性, G( L2 |& j" r' {8 d
Comparison of bathes, 批比较
( g3 W5 i* b% B/ V8 e- o" OComparison value, 比较值
7 }& h# n! T h+ f4 @8 RCompartment model, 分部模型
: Z4 c" F, G2 }" T% VCompassion, 伸缩' w$ O9 c5 d0 J4 F1 S8 v
Complement of an event, 补事件
9 i4 V* e- L: ~( TComplete association, 完全正相关6 P2 F# A2 s$ q( }1 R
Complete dissociation, 完全不相关 i, U9 U4 ~' B, h3 Q( J
Complete statistics, 完备统计量% p: r: A7 h: L. m3 b, M
Completely randomized design, 完全随机化设计
9 h, v4 @& r. e& t0 uComposite event, 联合事件
, d& K3 w3 {) F4 S5 N* @( k, kComposite events, 复合事件# }& V( X) k( l7 w
Concavity, 凹性# Z% Q4 ?0 e3 e6 c
Conditional expectation, 条件期望# k9 Q: X- R; ]
Conditional likelihood, 条件似然
4 n1 w' Y' E3 U3 a | u5 NConditional probability, 条件概率
! ]+ S/ l& P3 V8 B; {Conditionally linear, 依条件线性! l) N( q6 ? h/ j) Z9 M+ T: B
Confidence interval, 置信区间 W3 s5 Y5 V/ k
Confidence limit, 置信限
0 ^) O9 ^0 d+ R+ Q! @ B4 L/ M& |5 x ZConfidence lower limit, 置信下限1 j4 X' g+ L' N$ a! O6 X
Confidence upper limit, 置信上限
6 g# k" {% u# w# y% Q5 E2 J# LConfirmatory Factor Analysis , 验证性因子分析
7 S& y8 H: F# {( N. xConfirmatory research, 证实性实验研究
, o; A( G, ~% z# e6 LConfounding factor, 混杂因素" f, E% C6 Y( d$ S9 u5 d% l
Conjoint, 联合分析
$ e( C. C5 x: q- F4 jConsistency, 相合性
6 R0 P5 r' N: t i) m/ Z( O B# |: |Consistency check, 一致性检验' Y/ ?8 E0 R& ]. a, D
Consistent asymptotically normal estimate, 相合渐近正态估计: P6 _% V0 O4 U4 `
Consistent estimate, 相合估计. x" M0 d9 P( Y0 h
Constrained nonlinear regression, 受约束非线性回归
" t% {' ]& k) k& y& jConstraint, 约束
w- X0 @9 w% w2 A' lContaminated distribution, 污染分布# ?3 H! T/ a# I. r9 W# N
Contaminated Gausssian, 污染高斯分布$ k& t4 q' z; ^4 r( ^/ U
Contaminated normal distribution, 污染正态分布+ Z% p; x0 @; `( r) |5 e3 b+ {
Contamination, 污染
+ [% g- I% X/ w! }: KContamination model, 污染模型 U; }1 y0 }& F0 L1 [+ p
Contingency table, 列联表
' u+ \, o* _! |4 rContour, 边界线2 O e: _( t5 X" D$ @2 v+ Y
Contribution rate, 贡献率4 |! z( l/ z6 ^' }
Control, 对照
9 \" R! |6 u; ~' J# L v. Z" [Controlled experiments, 对照实验4 Z5 H' w' s- p) g; f
Conventional depth, 常规深度7 F; J6 }. \7 _5 h
Convolution, 卷积( M$ _& \; e' ~5 \ r* l
Corrected factor, 校正因子8 {; u6 U/ D4 y& V0 h# Q
Corrected mean, 校正均值
# b/ ]: A. J0 Z6 d7 W3 RCorrection coefficient, 校正系数% S# u1 `; y' S6 L2 v
Correctness, 正确性 X* L6 B9 M) k6 j& D" P" U
Correlation coefficient, 相关系数1 `/ \8 |! i/ u. H
Correlation index, 相关指数
7 G4 I& F% O! C0 q8 B8 dCorrespondence, 对应
$ J; V h1 x. M, D2 p2 @Counting, 计数% ~" O; d: b) R! ~, v# E% G t* M' W
Counts, 计数/频数/ \( T6 N- _( Y2 U+ g) e1 s
Covariance, 协方差3 }* C' c( {# [: i% B% Q
Covariant, 共变
1 U5 n2 E2 K2 B4 F) g% T( ICox Regression, Cox回归7 z, F: K6 ~0 U7 C- t7 M; Q/ k
Criteria for fitting, 拟合准则7 M4 D% |5 r) y/ c/ T/ ?
Criteria of least squares, 最小二乘准则3 `6 `' p% F, T$ l5 t+ I+ p
Critical ratio, 临界比
. ^6 E J9 @; o: yCritical region, 拒绝域
" l# F7 K2 f* W" bCritical value, 临界值- U& s/ g6 Q( J/ R
Cross-over design, 交叉设计 g' w# n s$ N1 _7 [& B
Cross-section analysis, 横断面分析, l6 {7 l- e4 m4 z8 i' k5 g
Cross-section survey, 横断面调查
4 V; ?! N1 @0 x/ A9 bCrosstabs , 交叉表
0 }9 S- L% h' wCross-tabulation table, 复合表
1 r3 f0 P5 }7 I9 f: F# RCube root, 立方根
. y6 }& L% D4 p6 GCumulative distribution function, 分布函数
; l, d' i6 x# q$ }6 h' V o1 cCumulative probability, 累计概率
6 F/ [, [% [% u& RCurvature, 曲率/弯曲) G) Z4 i. _7 c0 A9 S" a7 R
Curvature, 曲率
) V! f8 a ` d) h3 z4 BCurve fit , 曲线拟和
' [6 v4 }7 a' H" Z' s- T$ NCurve fitting, 曲线拟合& E$ E6 U4 X \ V! O
Curvilinear regression, 曲线回归! \; y9 S0 E; {# t1 j' x' t
Curvilinear relation, 曲线关系
4 X5 e( Q& T3 l+ T+ aCut-and-try method, 尝试法
4 J4 x @& v1 kCycle, 周期
5 k8 }# |4 {- j4 i1 H% XCyclist, 周期性; ]9 b/ }, Q' c! r- b3 _( v) \) ]
D test, D检验$ C ^2 {* ^1 G3 I1 b# v9 l& E
Data acquisition, 资料收集, T7 h( r( m- ?
Data bank, 数据库
6 q* X# p( E5 H: s8 ^1 iData capacity, 数据容量: _0 f, Z8 a' P' Z9 b
Data deficiencies, 数据缺乏& {2 I- W f. a1 S' W3 @
Data handling, 数据处理
1 A$ p& F6 g. a. {% i( ~6 x7 WData manipulation, 数据处理
: l$ z3 ]. I1 T9 q: yData processing, 数据处理
4 ^9 C; ~$ T0 r8 MData reduction, 数据缩减
# m0 I& E/ b; H8 D, ~Data set, 数据集
& W0 J# Y' d: X9 [Data sources, 数据来源. D) o3 {$ W. y9 d! k6 H7 a2 C
Data transformation, 数据变换+ O9 ~& v7 r9 g/ X2 e8 E1 A# m
Data validity, 数据有效性+ d1 Q" A: E7 d' ^
Data-in, 数据输入
D$ F% e+ u3 s6 \% A& N/ S* F) x- nData-out, 数据输出
7 s% d( N$ o0 q: @- u5 }Dead time, 停滞期' q; M- f3 r' A) g3 r# c; s
Degree of freedom, 自由度" t$ ^: N( W& G
Degree of precision, 精密度
! |8 Y" N2 z+ FDegree of reliability, 可靠性程度5 c7 n% W* U8 n4 H$ A
Degression, 递减' l* [3 h7 W. P: `
Density function, 密度函数
" e) G+ _' c# sDensity of data points, 数据点的密度
1 a; k: X8 `9 g, U4 m& BDependent variable, 应变量/依变量/因变量+ E7 E# K! K$ ?+ l
Dependent variable, 因变量
) E5 ^8 F( N( D8 ^9 D/ \Depth, 深度
1 K* W' x1 U$ [/ _* m# oDerivative matrix, 导数矩阵
! h$ \4 S- y# j8 M, o! Y. R: pDerivative-free methods, 无导数方法# C6 V+ I( j7 X: D( U
Design, 设计
p5 x! o2 i/ R/ cDeterminacy, 确定性
R, Q. X5 h7 \5 I" i" v/ ZDeterminant, 行列式- Y+ O \# V, y
Determinant, 决定因素
; B0 _. _1 a# _- ^) NDeviation, 离差
1 j8 ?' A) j, v+ I& f- i! pDeviation from average, 离均差5 }" ^. B7 P$ a& x& P$ i
Diagnostic plot, 诊断图3 e6 J! j, `' Z$ ^
Dichotomous variable, 二分变量 |* h' V, m2 M) d( A7 O. J
Differential equation, 微分方程$ b# L9 h9 z* z0 J
Direct standardization, 直接标准化法, A2 P6 q$ |7 _) P9 x$ R
Discrete variable, 离散型变量 {5 v, R1 ~1 V. R3 N3 Y; g
DISCRIMINANT, 判断 : a0 j# A6 _ | L; j: O" J; n
Discriminant analysis, 判别分析
4 E) T0 L; i: U2 k; @. Q3 f' |Discriminant coefficient, 判别系数6 t! x! C' Q1 v! @
Discriminant function, 判别值. i- e: o5 a- J7 ?+ l8 q
Dispersion, 散布/分散度 q" d- ~$ Y, N2 A! T* p( ]8 @) i
Disproportional, 不成比例的
# A5 a& f6 i! L6 M+ M8 F! `: RDisproportionate sub-class numbers, 不成比例次级组含量
: G- L0 E: ]3 @# @$ J9 P" N6 wDistribution free, 分布无关性/免分布) C6 R5 O; L5 _; U* e$ j6 @2 w
Distribution shape, 分布形状
" _- |5 T9 c1 t, r* gDistribution-free method, 任意分布法7 f" c; ]5 c% X) X5 S
Distributive laws, 分配律
- R: e* `; e8 b8 Z& x. r* ZDisturbance, 随机扰动项. p2 K7 \2 Q' F- e& Z3 }
Dose response curve, 剂量反应曲线
: Q; j' G$ M6 tDouble blind method, 双盲法
# u l1 f$ h( F aDouble blind trial, 双盲试验' ~, G, B* e5 o: r
Double exponential distribution, 双指数分布
- W- P2 J/ S- _3 i% Q6 X8 q* Z- b0 \Double logarithmic, 双对数9 Y4 r1 _% a# m: ^0 b$ p5 ~
Downward rank, 降秩3 w' D6 K. ^$ a" l1 X
Dual-space plot, 对偶空间图
$ v$ H3 q8 w4 l: s2 k; l: eDUD, 无导数方法
' @, S* F/ U9 @7 E9 D. D2 bDuncan's new multiple range method, 新复极差法/Duncan新法4 }, `$ b9 o7 Z0 N
Effect, 实验效应
! Z' p2 A' ^! rEigenvalue, 特征值) \) G3 J/ E [- F& `
Eigenvector, 特征向量
. v) v1 g) j( R% ?! p! O0 [Ellipse, 椭圆. j$ m% N# m/ ?$ J( G2 p# g
Empirical distribution, 经验分布/ K; R6 o3 P$ F4 r! _" v. N+ I6 ~
Empirical probability, 经验概率单位! Q/ `, Q; d% v. v8 D
Enumeration data, 计数资料
: i9 Z3 ]0 M3 H9 D# J! C. i. Z% A/ wEqual sun-class number, 相等次级组含量
) g, n4 b- Y$ D; l9 u9 c2 X8 ?Equally likely, 等可能
) v1 P9 ^, I+ r% q$ A# [6 m/ s$ ~Equivariance, 同变性
) F( V q( R: F. `; Q" XError, 误差/错误
) K0 G2 l* }: o; p; O# |( p) w; j2 YError of estimate, 估计误差
, v- ^4 k2 X4 ~9 l, }; mError type I, 第一类错误9 a5 B K8 n1 s' w7 a/ Q
Error type II, 第二类错误# c% e* c" `1 O
Estimand, 被估量
: R9 o% C; r- }Estimated error mean squares, 估计误差均方
! o: U |# e- _5 h; S( n$ H0 sEstimated error sum of squares, 估计误差平方和9 O! G* ]( @; ?2 l
Euclidean distance, 欧式距离4 W: T9 @" P- A
Event, 事件
! p* o( A8 Z) G, ]+ kEvent, 事件
" K0 w/ H/ \, K w0 ~Exceptional data point, 异常数据点3 D3 u& k x# g% M. j/ u/ L W
Expectation plane, 期望平面
`9 n, i9 _7 J3 ]; @# ], \Expectation surface, 期望曲面9 s% {5 Z9 ?1 l, B6 O
Expected values, 期望值
2 `& _% W X9 E4 y; xExperiment, 实验
, X6 E) _& j7 k( q+ f" \$ }6 D( pExperimental sampling, 试验抽样
6 z! m3 H0 r* X6 n; q4 n" yExperimental unit, 试验单位- C/ g) _' l- {* n& Z, k, x
Explanatory variable, 说明变量
/ }3 g" O2 p4 L F5 S' [Exploratory data analysis, 探索性数据分析
& x& t5 j& q j: E* V/ A5 F) H3 ^Explore Summarize, 探索-摘要
% g' k& y, r7 S* ~Exponential curve, 指数曲线
/ G M3 T! E+ D; MExponential growth, 指数式增长
# y$ p# d# I" l* s$ j% n* wEXSMOOTH, 指数平滑方法 1 V6 C* n D5 p& q" B
Extended fit, 扩充拟合1 I; y* J# @0 r' ]* R1 U% b
Extra parameter, 附加参数
& N8 _3 W- ]) ]9 Z' `1 u8 xExtrapolation, 外推法2 v" F }5 ]3 z% q k" _2 j
Extreme observation, 末端观测值
- H& k9 S0 F& jExtremes, 极端值/极值
& {8 h# }! R7 n0 v* w* S3 SF distribution, F分布
: P+ H0 f+ V% z; o6 IF test, F检验0 F5 P' [& G! L) o" ~ P! g
Factor, 因素/因子
T( A! H1 x( ?# ^! C3 ]. Z/ LFactor analysis, 因子分析
8 j/ r3 c# ~% hFactor Analysis, 因子分析8 S( U) [: J: j3 I7 i
Factor score, 因子得分
" _, l3 E6 v7 V2 \; jFactorial, 阶乘
* f! _' b- ?5 Q$ {Factorial design, 析因试验设计
$ Q) k) S" S% j* BFalse negative, 假阴性3 R$ Y' W: F; T2 ]
False negative error, 假阴性错误 k& R+ L! N( J$ b! T0 Y( X
Family of distributions, 分布族
) c6 U( O+ Z3 g' w6 s8 yFamily of estimators, 估计量族
0 Q7 g* |* x" c2 P% J% L; f* {Fanning, 扇面
0 H4 c! r U9 l, p9 Q6 @7 UFatality rate, 病死率! J }+ q; _7 L* B* {& n
Field investigation, 现场调查& x9 n9 m& d3 M+ E% w/ f* [
Field survey, 现场调查0 D( ]3 s0 k- b* f+ P) R
Finite population, 有限总体
" I; N" R2 s# h) d4 R$ sFinite-sample, 有限样本
7 q( R' |- H* N" _First derivative, 一阶导数
/ P7 F- U: j Q7 PFirst principal component, 第一主成分2 R/ \* R' I, }3 [ ]9 m6 U' B& M
First quartile, 第一四分位数
: j% C' v9 L, j" v' @0 mFisher information, 费雪信息量$ O" Z9 W8 c) ~* A6 F" D/ o
Fitted value, 拟合值$ G0 h2 Z$ I# ?6 L. F
Fitting a curve, 曲线拟合
! f; `! W8 f$ G9 _+ t, o5 d& e2 g+ eFixed base, 定基' C' y. E: o, T$ n$ V
Fluctuation, 随机起伏
' a1 W+ w4 a+ \( CForecast, 预测
/ ]& T% H" a( i$ D" f* {; iFour fold table, 四格表
; y9 m0 x3 a) q6 u, ^Fourth, 四分点
+ s ^9 T& _% P# W: i' ~, U jFraction blow, 左侧比率3 y! T% Q! P$ m9 ^; m4 v% @
Fractional error, 相对误差4 {8 v% r7 i2 Z
Frequency, 频率
/ [! T* d5 X$ {8 {& m9 cFrequency polygon, 频数多边图$ t4 Z/ u$ q7 j# ~7 V8 N1 U! ^
Frontier point, 界限点2 v3 L5 D1 s+ ~5 }8 a( X
Function relationship, 泛函关系; S% J+ g$ l0 O( b% H7 Z. F. k* Q) V3 d
Gamma distribution, 伽玛分布
9 k( F2 ~5 H* N4 r" I7 qGauss increment, 高斯增量
0 y/ X% G, j# g6 e. c% E% sGaussian distribution, 高斯分布/正态分布
* C% W n" M& f# a* y; A$ Q1 l6 yGauss-Newton increment, 高斯-牛顿增量
0 z) _# F) g" F9 {' a- J4 mGeneral census, 全面普查
" M( C6 ]# }* H4 o* HGENLOG (Generalized liner models), 广义线性模型 7 f; h/ {. { E4 H# [
Geometric mean, 几何平均数9 O7 s- U& k# o3 H9 k
Gini's mean difference, 基尼均差
+ q, ~8 x. f3 F/ G/ a7 L3 m; X! ~) \9 eGLM (General liner models), 一般线性模型
. o2 `6 U0 w4 A8 ^- jGoodness of fit, 拟和优度/配合度
0 g: m, b) ` SGradient of determinant, 行列式的梯度' H: i' r5 V7 Z( ?+ c
Graeco-Latin square, 希腊拉丁方
" |+ C1 `; q+ S; T7 YGrand mean, 总均值
' ~+ |3 r, G9 K! d. g$ G# `: IGross errors, 重大错误
8 J. d0 \" U, N9 {; V# H( hGross-error sensitivity, 大错敏感度
4 y5 @+ A, n! @6 X3 h/ f* RGroup averages, 分组平均* O5 N* A- z' W& w4 k5 S
Grouped data, 分组资料
. ~( c8 q6 u. j z0 K* |1 @Guessed mean, 假定平均数+ q4 Z2 h/ O3 J+ _, k
Half-life, 半衰期
* ]! u R+ z& E8 A% ~( F, R9 c xHampel M-estimators, 汉佩尔M估计量! e! A3 `5 U1 D* A
Happenstance, 偶然事件
; G8 R3 o( t0 m# c IHarmonic mean, 调和均数
: z3 D6 n R/ E# z* F' k' L D1 t4 uHazard function, 风险均数
& _) h- T$ Y5 |: Z3 I- NHazard rate, 风险率
9 t' K" a" {0 [; C; C" h& z8 @Heading, 标目
3 G& `# q/ I; a, r; ]Heavy-tailed distribution, 重尾分布
; i" M- C4 F( E3 T5 w5 `Hessian array, 海森立体阵
7 e, c o3 _* D4 d. O( p' \Heterogeneity, 不同质
7 ]1 S, I0 @- a6 pHeterogeneity of variance, 方差不齐 & v, M$ I8 R5 F4 m& X+ ^
Hierarchical classification, 组内分组/ d6 Z, m" a9 F+ O2 ?8 ~
Hierarchical clustering method, 系统聚类法
: g1 ~- Z, Z a0 PHigh-leverage point, 高杠杆率点/ _( P8 W0 u* Y$ ^! U7 f/ s' z7 A
HILOGLINEAR, 多维列联表的层次对数线性模型5 q8 ]: H! S5 {: F5 V( b
Hinge, 折叶点
; Y; J9 l9 E* xHistogram, 直方图6 x; z1 {8 k+ Y" |( \
Historical cohort study, 历史性队列研究 ) {. p/ E; f! X K6 R! {
Holes, 空洞
5 g; y' m& [: ]. {; i( ?" wHOMALS, 多重响应分析; y5 o$ n D! y4 O
Homogeneity of variance, 方差齐性
3 {" I5 L4 R, \6 U1 OHomogeneity test, 齐性检验+ W: |& t8 D3 C3 E8 R
Huber M-estimators, 休伯M估计量6 x7 M& @6 `( T- J6 \/ r
Hyperbola, 双曲线' R9 L+ B" H' u" p+ b' L* [
Hypothesis testing, 假设检验
4 w2 z6 C; ^+ T8 wHypothetical universe, 假设总体
! k! N: p$ n( r/ h, w& b- k" ?6 @Impossible event, 不可能事件
8 h: w8 ?1 z$ E% o/ n% m" CIndependence, 独立性
' D( B, L* R% t2 B/ a$ u; @9 k6 ~Independent variable, 自变量( S n# e- T+ V1 d0 H- _/ N$ `, y
Index, 指标/指数
/ q, g5 D0 S6 l) t* Q- }" g9 q% cIndirect standardization, 间接标准化法, H3 W6 u7 z7 y& |
Individual, 个体2 h9 O6 }% ~* F* T' L
Inference band, 推断带
3 U0 h9 w3 b8 q: _Infinite population, 无限总体9 B$ ^. e$ I, B8 ~: f0 l
Infinitely great, 无穷大
1 Q7 j R' `' VInfinitely small, 无穷小
" ^* m! W5 i) d0 I8 Z: ZInfluence curve, 影响曲线2 }* l- N6 \; q' ^! D6 m. h
Information capacity, 信息容量& k( B2 z' }; y
Initial condition, 初始条件5 G! D$ `, `) P- ?; e3 I' y
Initial estimate, 初始估计值2 D8 ~/ {+ ^' J# ~
Initial level, 最初水平
* s3 o) h: K6 b) O; g% nInteraction, 交互作用+ p; F- F" o# d+ F8 w
Interaction terms, 交互作用项
0 Y. _+ C; R* Y( {Intercept, 截距9 k6 ]+ k( T( U6 }! {3 j
Interpolation, 内插法
$ J% i* B9 D% m* ZInterquartile range, 四分位距5 V l; c% g& k! p& ]( f( S
Interval estimation, 区间估计
, ?, N8 m' ^9 S) \9 [4 n6 ?Intervals of equal probability, 等概率区间# O7 N$ ?8 I/ }# z& _' d+ }
Intrinsic curvature, 固有曲率
) X, _0 Y( |7 q3 ^% yInvariance, 不变性
% R$ P: m0 j- DInverse matrix, 逆矩阵% F& i! k' d, M5 ~# [
Inverse probability, 逆概率
5 ?4 S |1 w# L' OInverse sine transformation, 反正弦变换% k! n M, X3 y
Iteration, 迭代 $ W! o0 c3 @) h
Jacobian determinant, 雅可比行列式
7 V- |. t! j0 V0 }- f$ hJoint distribution function, 分布函数3 v, J; {6 F+ x( {3 u' R* W
Joint probability, 联合概率
5 ]0 }) K; ]1 C* vJoint probability distribution, 联合概率分布
0 z3 _- |0 T2 C' e* K, {8 p9 O0 n: cK means method, 逐步聚类法" `* b8 }' \) l+ h
Kaplan-Meier, 评估事件的时间长度 : W) J* Q0 B4 J6 T$ l
Kaplan-Merier chart, Kaplan-Merier图
& d8 `5 ?0 K5 g" YKendall's rank correlation, Kendall等级相关
8 Z0 p/ p; x, D% r i, [; pKinetic, 动力学 C. L* o5 y. D6 l+ d
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
0 M8 i8 F9 \& ~: ]# UKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验5 _# D! }: P& |9 G
Kurtosis, 峰度5 J* K$ S5 J. u; X6 p1 @
Lack of fit, 失拟 e: o& y6 _& a; ^) l: Q S6 x* q
Ladder of powers, 幂阶梯! R. \4 @% m& Y9 Y/ c8 E
Lag, 滞后
2 a; C' w8 X1 xLarge sample, 大样本
2 J. \- b0 I+ l1 w3 o- O7 N- Q, KLarge sample test, 大样本检验' O+ d! _6 f ^9 s* B
Latin square, 拉丁方
, O! A6 e) T; A( JLatin square design, 拉丁方设计
& x1 k) J! D, J8 ^* |8 xLeakage, 泄漏# r; z( S! H6 t* B! P2 i5 f4 T# {
Least favorable configuration, 最不利构形( Z* F' F% t# L3 j
Least favorable distribution, 最不利分布* j# A+ _! v. |$ f" X4 k
Least significant difference, 最小显著差法
2 P' W) M1 x1 O; kLeast square method, 最小二乘法
% H1 g5 `6 r4 {7 m2 M7 T+ Q6 P' ULeast-absolute-residuals estimates, 最小绝对残差估计
& e, h) Z _3 g8 p+ @* tLeast-absolute-residuals fit, 最小绝对残差拟合9 j% D0 g( T3 l3 l: a$ ]3 e
Least-absolute-residuals line, 最小绝对残差线5 I4 @0 S( m0 ~. i/ u% m5 h
Legend, 图例
# ~9 n% K$ R; L' m% ^6 t! c% ^L-estimator, L估计量) l4 U8 |& L, V& }, m
L-estimator of location, 位置L估计量
2 F6 y0 f7 g! E$ t/ p; uL-estimator of scale, 尺度L估计量& M g# q" m' I) ~$ k& e
Level, 水平
( h! a; x, m' h8 ^Life expectance, 预期期望寿命
' M* B! d- c5 E! i$ g% h: O; [Life table, 寿命表
6 K- O% e" v0 g& A' ]* u1 qLife table method, 生命表法3 w8 ?+ J# _/ b" m2 p: I W
Light-tailed distribution, 轻尾分布3 Y0 `/ @# ]; V
Likelihood function, 似然函数
$ c n5 E5 Z. m) ULikelihood ratio, 似然比
* r+ l% n0 r/ K: }line graph, 线图& W2 L9 k7 |% T% [6 S5 b. E, Y
Linear correlation, 直线相关
0 |1 B. r# I0 Y# p! F0 U! cLinear equation, 线性方程0 g) V% g0 B R& M$ D) R
Linear programming, 线性规划
2 p& [# W2 w, f* VLinear regression, 直线回归& U! ^/ C4 V! v( B8 U8 O
Linear Regression, 线性回归
, ^$ y" [5 T' J, N; I: l# q- FLinear trend, 线性趋势
* {& ~( X" Q1 r$ K7 d9 FLoading, 载荷
2 p( W- T9 H; V- Q" {Location and scale equivariance, 位置尺度同变性
2 J7 V6 Z% G: A$ yLocation equivariance, 位置同变性/ J: \7 \& W( y0 C- |
Location invariance, 位置不变性
" A9 c1 M" h4 d+ l8 R4 G$ i1 i0 ~Location scale family, 位置尺度族
( i# O8 F0 ]0 O6 [' ZLog rank test, 时序检验 8 q% A* X' M: d& K* f; U
Logarithmic curve, 对数曲线# H0 s0 e! e; K6 m& }
Logarithmic normal distribution, 对数正态分布) U: f$ `8 f, e) t) A
Logarithmic scale, 对数尺度1 Y6 _( d/ C* P5 w& B8 d
Logarithmic transformation, 对数变换
+ x: @. D. ^0 }0 CLogic check, 逻辑检查
& @; U P5 ]9 z4 r1 h4 ]Logistic distribution, 逻辑斯特分布% b: M0 y- Q, H4 O; Z5 V2 E0 V- D
Logit transformation, Logit转换
1 M. ?! n; |# {: U/ t& zLOGLINEAR, 多维列联表通用模型
7 F/ y( {$ o+ FLognormal distribution, 对数正态分布% w+ d$ e; S6 ^- O; N
Lost function, 损失函数0 p \- |) j+ Z6 B$ J) N
Low correlation, 低度相关0 T& ~9 U3 v6 Q4 Q z1 z+ _) P
Lower limit, 下限
# L7 r* I6 R* HLowest-attained variance, 最小可达方差
+ K% V: p/ s( l3 I* X" \8 [LSD, 最小显著差法的简称
9 `+ T+ B+ Q" i* u1 O3 NLurking variable, 潜在变量
& }" ~9 |9 K4 l6 j4 aMain effect, 主效应
# N- U7 c" V' ?. _$ j7 e5 }6 H3 sMajor heading, 主辞标目3 ?- ~0 p6 E: @: y$ q) Q+ u
Marginal density function, 边缘密度函数
/ f t* O/ i3 P$ |Marginal probability, 边缘概率. S7 ^: d: ~, R0 l; W8 S
Marginal probability distribution, 边缘概率分布7 h& _4 B, }+ O% m2 A
Matched data, 配对资料
) d J! q# S6 x6 wMatched distribution, 匹配过分布
4 G& n9 ^6 C0 I" @5 E* ]' i! ~Matching of distribution, 分布的匹配
+ o* W6 ]- [9 n$ cMatching of transformation, 变换的匹配
x! G. a8 s" y2 m4 |( \4 zMathematical expectation, 数学期望( |2 u# P$ d g
Mathematical model, 数学模型 D; ]2 D/ b4 a `, K$ a0 E3 S
Maximum L-estimator, 极大极小L 估计量
* ]$ V* C; @8 b: c# K( e4 kMaximum likelihood method, 最大似然法
* X+ I8 V* N) d% ^3 AMean, 均数
8 K. G( {4 y3 H( P8 }* M5 i" X# uMean squares between groups, 组间均方) g+ E' @6 D( n* _/ X) T
Mean squares within group, 组内均方
5 p6 E* i* Y r0 q% X2 KMeans (Compare means), 均值-均值比较" h8 P6 U+ m% H4 `% ?7 L
Median, 中位数& o2 o# o' B5 D/ E8 R* D, `0 C5 Y1 k" B& b
Median effective dose, 半数效量& G( H C1 K, R( m+ J# ~
Median lethal dose, 半数致死量7 ?/ A( Q) q7 Y% D
Median polish, 中位数平滑& m5 O7 A/ t! ]2 `" o
Median test, 中位数检验% A0 Q* W4 p' `1 W7 m
Minimal sufficient statistic, 最小充分统计量
' j T4 D( D! i& i. s: g2 K5 AMinimum distance estimation, 最小距离估计: Q$ v; ~0 C7 _5 Z! q
Minimum effective dose, 最小有效量3 ~: \6 }/ Z. g% S/ S5 @
Minimum lethal dose, 最小致死量
$ P1 ], l* k- s% E( bMinimum variance estimator, 最小方差估计量6 d4 a N) H8 v' j5 p$ Z
MINITAB, 统计软件包
( h* a) `4 p* U" [2 C7 @/ `9 f( DMinor heading, 宾词标目
" j9 S, z6 w# i1 yMissing data, 缺失值. m# \- [# Q2 Q& A I/ O' z
Model specification, 模型的确定
# l5 V2 w: p! `7 SModeling Statistics , 模型统计7 ?0 s3 F( ?/ R p
Models for outliers, 离群值模型
$ i: {; C3 ^1 XModifying the model, 模型的修正% O- X% l a. j
Modulus of continuity, 连续性模/ w! i; U3 e* Q, ~2 G' k8 i, [" M: f
Morbidity, 发病率
1 o' u/ d$ }/ B/ `+ H- W2 B8 NMost favorable configuration, 最有利构形. O7 V" [' C4 m+ }
Multidimensional Scaling (ASCAL), 多维尺度/多维标度6 `; ?0 C) L: q: I
Multinomial Logistic Regression , 多项逻辑斯蒂回归1 Q) f1 R) M0 Q; B
Multiple comparison, 多重比较
; Y3 Z' W. \0 s! O$ l6 S- oMultiple correlation , 复相关
9 K; b) I" b3 X vMultiple covariance, 多元协方差
, n" t2 z1 K, g+ n+ p0 ?Multiple linear regression, 多元线性回归
9 t" X% x; M, b9 q V* a2 |1 i' UMultiple response , 多重选项
4 o* e# D; J" Z" {; j1 G/ n; n3 _Multiple solutions, 多解
4 e) T6 d ^: z6 }" f0 C8 ^Multiplication theorem, 乘法定理
7 a8 d' F6 |7 y$ P3 o7 N4 ^Multiresponse, 多元响应5 t/ Q' q+ b$ u4 H
Multi-stage sampling, 多阶段抽样
2 }) S: d% N+ i% g$ ?% L3 `5 UMultivariate T distribution, 多元T分布
3 }3 W9 C! i$ E) F* z% P) Z# `Mutual exclusive, 互不相容
+ e1 \/ R- r5 aMutual independence, 互相独立/ S, d0 S, y0 R3 M
Natural boundary, 自然边界
0 A! y3 U. ]& Y% ]+ l7 T gNatural dead, 自然死亡
3 d. K( x7 k' J9 @" O6 }Natural zero, 自然零
. j- x3 R: O. h6 y" ZNegative correlation, 负相关- G# p: H* t& j/ d) l) \
Negative linear correlation, 负线性相关& g; H- [) |9 c! j* b$ s5 q H
Negatively skewed, 负偏! }/ A7 g" b7 D( A7 ], O
Newman-Keuls method, q检验2 ]7 n' U* O' }& } N+ {
NK method, q检验4 o$ E' [" }! T, w+ _3 [
No statistical significance, 无统计意义
$ q' _) g/ ^- x$ M4 m0 YNominal variable, 名义变量
3 {8 f1 T, N. _. y, M/ K4 ENonconstancy of variability, 变异的非定常性( n0 [6 Q3 t$ ], G
Nonlinear regression, 非线性相关8 k1 z; r% V+ u1 R! i
Nonparametric statistics, 非参数统计8 l, Z/ m4 `; P( k# X7 I" q
Nonparametric test, 非参数检验0 O f1 [ d: X" K. L: ^* G+ ^
Nonparametric tests, 非参数检验
6 c D: g# X6 X: T1 O% O- iNormal deviate, 正态离差, f( |& ]' Q% G
Normal distribution, 正态分布# u8 @4 B& I6 _, {! J2 X
Normal equation, 正规方程组; W$ B/ u; E1 A5 x6 e" M
Normal ranges, 正常范围
5 g x0 Y( K' h2 n9 @/ ~+ s+ aNormal value, 正常值9 \" F) A: ~+ h5 [- L+ s, F C
Nuisance parameter, 多余参数/讨厌参数
) N' r& F+ s6 Q, }8 t( b1 s0 MNull hypothesis, 无效假设 + F# I) @4 ?& N7 m+ E) e7 ]7 Y
Numerical variable, 数值变量
5 S& l& } L/ x0 JObjective function, 目标函数
7 k9 X) p+ {2 d" X6 v* NObservation unit, 观察单位2 s& L. Y( e1 l/ {
Observed value, 观察值
* k" T" A1 E4 [( vOne sided test, 单侧检验! E! `1 q9 A! C1 `
One-way analysis of variance, 单因素方差分析
8 r9 S5 N1 m# @Oneway ANOVA , 单因素方差分析/ i0 I: ~6 @) p4 @. n
Open sequential trial, 开放型序贯设计
; V% ~+ A( x3 s9 D1 WOptrim, 优切尾
3 w' h2 O2 H8 l$ W! J* @Optrim efficiency, 优切尾效率
. K! I( C% d7 t% K- @Order statistics, 顺序统计量
% J, c/ ?% F! E5 W1 [6 m! E* rOrdered categories, 有序分类7 ~2 _4 D% |: ~* u
Ordinal logistic regression , 序数逻辑斯蒂回归0 S& L3 \$ D$ y
Ordinal variable, 有序变量
4 f# Z: B% t9 EOrthogonal basis, 正交基, y1 e7 h" i* H- L) }+ y
Orthogonal design, 正交试验设计
4 s6 e4 x+ f' ?; oOrthogonality conditions, 正交条件
! `. t! S- v0 oORTHOPLAN, 正交设计
7 U5 I1 R' U8 d6 q9 N" K, kOutlier cutoffs, 离群值截断点
! A$ \) J3 V& H. i: h. [Outliers, 极端值 h' r3 ]$ }/ y* i" d- u3 g3 m, F+ e
OVERALS , 多组变量的非线性正规相关 3 C$ Y- b3 `* P2 R
Overshoot, 迭代过度! B4 m* W) y: v3 g/ g2 i
Paired design, 配对设计' Q; L/ g6 H* y6 v; `. V
Paired sample, 配对样本
- Z* K$ t/ {4 F5 W6 S5 K- nPairwise slopes, 成对斜率4 }0 w4 B) c8 t1 @8 u" j# s
Parabola, 抛物线3 H) J& ?8 `% I" a, N" l
Parallel tests, 平行试验
+ b& Y+ e" Z' Y5 T8 r7 CParameter, 参数
- ~0 `8 g# ~- GParametric statistics, 参数统计
; E3 D( m; P2 D. {( _1 o7 q! k8 A4 XParametric test, 参数检验
& c/ B a7 C' M& xPartial correlation, 偏相关
* a) W% @% n/ V* q6 F$ CPartial regression, 偏回归; y! B. D5 @ M8 F1 R/ c
Partial sorting, 偏排序
4 z/ [. m2 x) vPartials residuals, 偏残差
3 i9 ^. W# a( N( e/ SPattern, 模式/ o E4 t% G" g" T2 z q
Pearson curves, 皮尔逊曲线
- D& n/ s1 p! |& \0 C' ZPeeling, 退层6 j; H2 c0 Y% e7 b- F1 d
Percent bar graph, 百分条形图2 J A# w% l! Y8 h' x' H8 [3 r
Percentage, 百分比
/ o+ l+ V1 D% T/ ~4 Q5 nPercentile, 百分位数/ ~3 x4 W8 z* f$ w" P
Percentile curves, 百分位曲线; ^2 T" Y' T% n' X( U5 h
Periodicity, 周期性& v- U1 w% K5 j' B
Permutation, 排列
9 ~( F; | b7 ^- a5 vP-estimator, P估计量+ M0 M: T( y# g; O; L
Pie graph, 饼图
) E; J/ l% S' u' c! GPitman estimator, 皮特曼估计量# i, [: ]3 R8 i2 ?2 O# g
Pivot, 枢轴量9 S- c0 m: D( K- y
Planar, 平坦
, T f2 f4 p4 I/ T7 Y$ t% H" SPlanar assumption, 平面的假设) ?* q6 `. O0 ]6 S8 B
PLANCARDS, 生成试验的计划卡
( C5 `; n. |& A0 YPoint estimation, 点估计+ v$ o4 y4 l* z! s2 @
Poisson distribution, 泊松分布- N y6 F0 `8 K9 v" R \ G
Polishing, 平滑
4 h/ i/ K# g5 F0 Y) b A7 s" \Polled standard deviation, 合并标准差
) t5 ]* r* q6 b' g3 _Polled variance, 合并方差' E U5 ^0 g" f
Polygon, 多边图
8 o, q7 {7 x {6 L. b/ R* hPolynomial, 多项式
1 E: I$ N3 y* [. p! Z iPolynomial curve, 多项式曲线5 }8 w" N3 U$ I" L4 Q, O
Population, 总体
! T6 F/ @$ T# q& JPopulation attributable risk, 人群归因危险度( f3 O L& R+ e& b. r5 b3 v
Positive correlation, 正相关* r$ j$ W o8 |% l: f
Positively skewed, 正偏. D; J; X, w* J; |% |
Posterior distribution, 后验分布
# [) i; _& d1 I& k2 `3 kPower of a test, 检验效能) t& Z/ Q) N% X( ~; h& m) M
Precision, 精密度
. H c# d% |" p: e& l; hPredicted value, 预测值
6 o$ d7 n H" L _- @Preliminary analysis, 预备性分析( A! @5 b7 y$ h8 W: I5 y' e
Principal component analysis, 主成分分析: C4 i' F- l# ` p3 E
Prior distribution, 先验分布& u$ G0 i" Y: y" R9 L/ F V
Prior probability, 先验概率8 J) ]$ q |% ~0 V4 \' ~
Probabilistic model, 概率模型
2 w- n' ^0 P6 Lprobability, 概率
, F( @3 Z! a3 ^: ]Probability density, 概率密度
& Z1 `6 ~1 i/ Y- H, ^* @Product moment, 乘积矩/协方差. }+ W9 c% X* X" p! z. N' b9 G5 h) X
Profile trace, 截面迹图
0 a0 \& J8 G( X8 |7 y1 ^7 SProportion, 比/构成比5 ?% l Y. z# m6 c& ~5 V/ m
Proportion allocation in stratified random sampling, 按比例分层随机抽样
2 `0 v' I3 c$ N3 E' k% VProportionate, 成比例" U* ~8 o- V# D2 ^% |8 }
Proportionate sub-class numbers, 成比例次级组含量
8 C9 X' F/ c6 B6 O; m, {0 o7 uProspective study, 前瞻性调查6 T) U) `7 d. I3 I& h
Proximities, 亲近性 " w7 g' R5 i- W# D$ q+ l3 F8 W; e$ [
Pseudo F test, 近似F检验
: S! j$ b$ p3 C/ c/ bPseudo model, 近似模型
2 n) v3 ]; r5 T v: d/ I2 |Pseudosigma, 伪标准差
4 N5 l% F n& h) q& q+ u9 P, t: |Purposive sampling, 有目的抽样
3 O& U/ e; S$ ^QR decomposition, QR分解5 A* s6 j1 {8 L' S
Quadratic approximation, 二次近似
+ Z9 U& Y" @! A, N( X! B( A* aQualitative classification, 属性分类# s3 p& {0 l0 O
Qualitative method, 定性方法- s' N/ g( W' G8 ?5 K9 k7 o
Quantile-quantile plot, 分位数-分位数图/Q-Q图
( Q3 b7 i1 Q- N. N$ d4 Q; YQuantitative analysis, 定量分析
- c* p* ?! v% n% uQuartile, 四分位数
9 M5 {" {$ Z( x+ J4 s# ~Quick Cluster, 快速聚类0 m& B$ p* i3 @7 K; z$ w
Radix sort, 基数排序
" Q; [+ `1 W. \) T, P( lRandom allocation, 随机化分组
: g; \: e- y6 B4 H, G8 x% PRandom blocks design, 随机区组设计$ ^0 P& a7 j1 h+ e
Random event, 随机事件* N4 e i+ B5 y5 G8 w4 f
Randomization, 随机化3 q4 F3 @5 n! J7 L, a
Range, 极差/全距
2 a0 o4 c, _3 s+ B' t1 G3 ORank correlation, 等级相关2 M0 W1 n- @7 f+ G1 z
Rank sum test, 秩和检验
& V o8 F! V5 R. N0 P2 ?6 ?3 \Rank test, 秩检验5 } o9 d7 W2 V! a
Ranked data, 等级资料& E+ V0 h, P: t! v* K
Rate, 比率" N6 ^5 j) o% S Z" x. O/ X, c; `( R
Ratio, 比例; s% y' b9 G8 e
Raw data, 原始资料/ h& Q: ~ l R( O: a2 M0 _
Raw residual, 原始残差
1 _( F$ ]! l4 \" pRayleigh's test, 雷氏检验/ i* U5 n) k' X( H* I
Rayleigh's Z, 雷氏Z值 ' S( G! `& K% m4 p. p7 W1 t
Reciprocal, 倒数
) ^" M0 Z8 a) P5 W" } v0 |Reciprocal transformation, 倒数变换7 m8 F; ?, Z3 V* P, f
Recording, 记录$ x9 i6 p' `4 ~1 Y( B3 E* g
Redescending estimators, 回降估计量
" [! X" Y* V8 q9 o: e+ ^* XReducing dimensions, 降维8 f* _. @& L2 X( j/ o
Re-expression, 重新表达
6 o) q6 k2 N! U* cReference set, 标准组. M- i f. D' j, `# ]: J1 R: a
Region of acceptance, 接受域; n$ G: @8 E: k( {5 V3 k
Regression coefficient, 回归系数- J5 b+ C! y: b/ J
Regression sum of square, 回归平方和$ X A, e! a8 m% f! F: T
Rejection point, 拒绝点/ h6 t* P/ d6 d( H
Relative dispersion, 相对离散度
5 W8 W7 G/ y2 G/ F$ G ]Relative number, 相对数
! A5 M' o" O- x) `" ^Reliability, 可靠性
$ U9 V9 [3 F$ ?3 t$ K6 ]# yReparametrization, 重新设置参数" O! U3 p" B s3 E S6 j$ F8 z V# K4 t) A
Replication, 重复
* @- Z1 M* \$ a$ B `8 i" nReport Summaries, 报告摘要
e& {+ f) b& {1 z5 `9 EResidual sum of square, 剩余平方和: d; r& C& k- R+ @( y6 F8 }
Resistance, 耐抗性& g8 T2 \8 s3 ]1 s
Resistant line, 耐抗线; A& ]2 o8 w. P8 p; v4 V0 N
Resistant technique, 耐抗技术- m6 S. W/ O8 N' @1 }& M
R-estimator of location, 位置R估计量- X' y' r% }, K1 [: N
R-estimator of scale, 尺度R估计量6 E9 h4 ~; A/ ?3 Y1 }# D3 d' W
Retrospective study, 回顾性调查, q4 O& J* I; \0 B& S6 s8 f
Ridge trace, 岭迹5 d4 v/ J [1 q( i: J
Ridit analysis, Ridit分析
" y( J$ Q0 a. G9 X% ^3 u$ WRotation, 旋转" T3 `# J& p: Q4 ~! U+ R
Rounding, 舍入/ K* f! J3 G) b
Row, 行
" f+ |0 s2 X- o2 GRow effects, 行效应2 o6 E; j) S8 _( @/ e
Row factor, 行因素
6 T9 r+ s7 m B/ V+ d: v+ p9 ]RXC table, RXC表
: k" K, L- y* E$ f% {$ LSample, 样本 c/ |5 x( J) z/ z
Sample regression coefficient, 样本回归系数. K/ h# |+ Y/ L' Y
Sample size, 样本量
0 Y" R# Y( F K% j: L( G/ b+ s! `Sample standard deviation, 样本标准差
, i9 f: q6 v K2 Z* wSampling error, 抽样误差
# x# {4 S. H+ i. \1 m* HSAS(Statistical analysis system ), SAS统计软件包
: q x- ?" o" ~; g: A6 R' `Scale, 尺度/量表
9 a, A! _" F/ C; sScatter diagram, 散点图
+ ~) _* S/ B) ]5 f+ uSchematic plot, 示意图/简图7 K) q7 s! @: Z
Score test, 计分检验( ?" N: M9 n# z; X
Screening, 筛检
T: H. P4 U" q9 Y7 e) z% i2 R# F7 k* h+ sSEASON, 季节分析
0 e$ W; m9 r2 W5 {0 bSecond derivative, 二阶导数
+ \+ `5 N1 Z( e D \Second principal component, 第二主成分
+ t) D0 P3 A3 e* L4 Y+ i: @3 KSEM (Structural equation modeling), 结构化方程模型
% o' l0 l; L1 C3 O" q f# ySemi-logarithmic graph, 半对数图
' l- u1 Z# c E7 Y0 YSemi-logarithmic paper, 半对数格纸
9 p' G# o8 l; x% b! SSensitivity curve, 敏感度曲线6 M$ [9 K6 I5 H' O
Sequential analysis, 贯序分析
( {' L9 {7 ?- h9 ?/ {Sequential data set, 顺序数据集0 ^) {) X; q& U/ M+ d* I. Q
Sequential design, 贯序设计0 W' W: Y. t/ j% ]$ g7 ~
Sequential method, 贯序法3 t! r+ C7 d" \
Sequential test, 贯序检验法2 N) a0 l( o' w
Serial tests, 系列试验
. o7 {: m& J$ VShort-cut method, 简捷法
: I/ f$ B/ z% n/ W- h# m& d0 ySigmoid curve, S形曲线
?7 H" N) f" e( b+ ?% DSign function, 正负号函数9 ~2 g6 }( b2 Y3 X }& r
Sign test, 符号检验
/ B) \) ^# D9 {; FSigned rank, 符号秩
0 f0 O& S) ]# vSignificance test, 显著性检验! _; F: a; g/ @ Z
Significant figure, 有效数字
9 J' X. A6 N/ vSimple cluster sampling, 简单整群抽样# L# a* |* C# j+ M1 r5 v
Simple correlation, 简单相关0 Y) E* Y* d+ Z3 C) D9 |
Simple random sampling, 简单随机抽样
, ?0 ` Q& y ]1 E4 m0 K2 gSimple regression, 简单回归0 Z; k1 V% B7 Y( F% w2 [% h" f
simple table, 简单表
6 t5 b% S! c* s; c$ \Sine estimator, 正弦估计量
" b* \$ h; A' N& m1 kSingle-valued estimate, 单值估计
0 B7 E z& w) n, W2 g2 M7 USingular matrix, 奇异矩阵
( E8 G; _+ W, w3 J9 tSkewed distribution, 偏斜分布; O; x6 c6 j9 n4 q; y9 [" L
Skewness, 偏度
$ c! m& Y! ^0 ?Slash distribution, 斜线分布
. T% m; S6 K# q5 P; I6 f. Q/ I6 qSlope, 斜率8 U4 {* Z; }5 S( {& e Y' }
Smirnov test, 斯米尔诺夫检验
2 s2 i9 W$ ?" o0 ESource of variation, 变异来源
+ S0 H- `8 @' V& p& r/ NSpearman rank correlation, 斯皮尔曼等级相关/ _, q x: E- }. ^* e% e
Specific factor, 特殊因子
; r% r1 Q! z/ ~5 l1 qSpecific factor variance, 特殊因子方差
! R0 z7 I' B r4 S' [Spectra , 频谱
4 S$ G9 O$ K; f5 g! hSpherical distribution, 球型正态分布
, o8 D5 I' c% f; DSpread, 展布
. i6 Z7 x# X3 D' ?SPSS(Statistical package for the social science), SPSS统计软件包
7 _& O+ q* t* R2 p' f$ o6 I2 V/ cSpurious correlation, 假性相关- p* a9 p: Q. j4 C7 H$ [! S) Q
Square root transformation, 平方根变换
9 I- c \! C# n: g. ^Stabilizing variance, 稳定方差 F0 a7 _8 @2 [4 W
Standard deviation, 标准差
; j ?2 q# z' O/ f$ u! AStandard error, 标准误
( L. l+ f4 t& l: m0 P7 Z2 jStandard error of difference, 差别的标准误
1 {. [9 {! f' w/ ` JStandard error of estimate, 标准估计误差
* n. E3 V z* Q7 G2 yStandard error of rate, 率的标准误# z9 `5 k) v% r) k6 B
Standard normal distribution, 标准正态分布3 ~* Z, o7 w) T
Standardization, 标准化
! l, c8 F) Z; V2 P% u' {Starting value, 起始值
6 u9 u' k& o! D7 nStatistic, 统计量
4 x, Q7 w! [+ Y& s3 LStatistical control, 统计控制& a0 ~8 e7 ~3 V8 {' v* u3 j
Statistical graph, 统计图
) ]/ s# z N% }( ~Statistical inference, 统计推断
& m1 ?( d2 E& N8 jStatistical table, 统计表6 v# i2 g0 H2 A, x6 y
Steepest descent, 最速下降法
/ @! ]0 }$ [$ }, `& ~Stem and leaf display, 茎叶图
/ h. E5 u/ W6 r1 w/ QStep factor, 步长因子 u+ W; v2 A9 s' Q; m
Stepwise regression, 逐步回归
' X" O9 G% X. A9 @) iStorage, 存3 P, k. J7 [5 D2 w0 }" _$ B9 a @3 c
Strata, 层(复数) ]7 e' ` x9 z4 V
Stratified sampling, 分层抽样
% _: J& b5 {4 O" B b4 eStratified sampling, 分层抽样* T3 m$ P5 L7 z6 a! S, _
Strength, 强度$ ]6 O" h& c. O
Stringency, 严密性4 s6 q5 m# D* V) k. P' y. J
Structural relationship, 结构关系* X; ], o$ D3 P1 a
Studentized residual, 学生化残差/t化残差* c. N+ Z. X9 W: N% S
Sub-class numbers, 次级组含量
1 X, t; N+ V* p/ a b8 K! q7 GSubdividing, 分割 m# Y" Y& ]3 U& ^. i6 |0 o \: e
Sufficient statistic, 充分统计量2 Q0 ^) x* R$ t
Sum of products, 积和! X9 O1 ~: q) m
Sum of squares, 离差平方和6 c9 J0 {7 @6 r! {0 [. n7 k
Sum of squares about regression, 回归平方和
. h: ~% B# u2 s: G" i; v% b3 OSum of squares between groups, 组间平方和 t+ f+ A5 @! M% I) o
Sum of squares of partial regression, 偏回归平方和
# T8 V; Q& ~, J" D d0 BSure event, 必然事件
; Z% ~+ X. o- u# }8 _/ J2 L, a6 {6 }Survey, 调查/ q' [9 I) v5 {; A4 N+ X+ Z, a4 `9 s l
Survival, 生存分析4 i# d+ c0 G: \# s. T4 F; ~/ d& A
Survival rate, 生存率
% d; P/ Z1 t6 \. ?Suspended root gram, 悬吊根图
8 I/ h- r3 {& sSymmetry, 对称+ S7 E0 N0 }1 y d/ X
Systematic error, 系统误差# r' o& K0 m% |7 l
Systematic sampling, 系统抽样( \ Z; P7 G1 w/ h- R5 V
Tags, 标签8 J3 f! h8 X5 C6 {/ \ d
Tail area, 尾部面积& _ _/ G& s! `# Y3 o4 q
Tail length, 尾长
" I! _ V7 N z- A( ?% JTail weight, 尾重
@2 n: d+ q/ F7 eTangent line, 切线
! f, B$ G! [8 D7 ^3 N% ?+ ?Target distribution, 目标分布
/ Y& L% `# v' g8 W0 UTaylor series, 泰勒级数
* `8 C; z( ^' g) d: \) L9 FTendency of dispersion, 离散趋势, U6 G g4 \# Q
Testing of hypotheses, 假设检验 L" G9 ?3 C6 {/ [, s) y
Theoretical frequency, 理论频数; b4 `5 a6 o& d& h
Time series, 时间序列
( Y$ j8 l: }8 Q2 M: B! g: q* ^7 M7 P- qTolerance interval, 容忍区间
, Y5 G" Y0 V/ C, v! x4 ETolerance lower limit, 容忍下限
( i( M& E# U: K) m% ?1 J' OTolerance upper limit, 容忍上限
# F8 a `9 C% k; l& q; ]% P7 R! t/ YTorsion, 扰率
9 P. _% M, ~2 QTotal sum of square, 总平方和
" D: o9 f W- y% q0 _8 jTotal variation, 总变异
+ E8 l5 h, [) m/ pTransformation, 转换
( A- ~, Q; K9 z, ]+ U) n. HTreatment, 处理
8 b2 m1 ^& h! F: W5 ?Trend, 趋势
, d$ p4 x9 U! s9 c/ t4 D& ?: VTrend of percentage, 百分比趋势# c, D8 |; t. ] k+ m) q; m% I. {5 C
Trial, 试验9 D |' r6 g- x0 b, V
Trial and error method, 试错法
9 A& }# G6 y; R$ c$ {0 M! uTuning constant, 细调常数
8 k% U4 u0 V* {; x6 H$ V9 g! YTwo sided test, 双向检验
4 s: q. \# E( eTwo-stage least squares, 二阶最小平方7 w" m0 }$ r9 m2 a# J
Two-stage sampling, 二阶段抽样7 u4 Q" N6 V% Q' R# M
Two-tailed test, 双侧检验. X1 o) ^: z( f" ~7 n* D% j- z* G
Two-way analysis of variance, 双因素方差分析) n: h" L% j! Y' O8 D8 v
Two-way table, 双向表
2 @- |( o; z$ Y' t9 j# X! pType I error, 一类错误/α错误' A4 K. i ~! ~) U( Q
Type II error, 二类错误/β错误
( u b+ H, |9 s, M" QUMVU, 方差一致最小无偏估计简称
5 M$ {( B; G/ X8 Y8 p# |Unbiased estimate, 无偏估计
9 R ^! }. [# _3 b: x: B. ZUnconstrained nonlinear regression , 无约束非线性回归
+ p" c( V$ x, k* J9 z' g- l3 mUnequal subclass number, 不等次级组含量
4 [. q1 [1 c/ k' `Ungrouped data, 不分组资料
+ b$ c4 s# m, Z) y/ zUniform coordinate, 均匀坐标
/ Z3 S# J8 q8 X, M' V# YUniform distribution, 均匀分布4 H9 v) ~& v6 O& O+ B
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
- O/ b4 c) K$ p, I T0 jUnit, 单元$ b; ^" E+ k2 Y$ _( O4 o3 ?2 j }8 z
Unordered categories, 无序分类4 H E9 G8 p7 c; b1 K- `
Upper limit, 上限
: ^3 r6 v; u) M& O! P" }8 LUpward rank, 升秩
5 [( B5 `7 q3 y c% lVague concept, 模糊概念
' S7 t ~, w" u# Q/ l2 {9 L8 G& [Validity, 有效性8 h- X! _ D! m' u" }
VARCOMP (Variance component estimation), 方差元素估计
; _/ C/ q x6 sVariability, 变异性
6 ?& u) ]7 d% w& k6 U& EVariable, 变量5 ~* L0 W& B7 \& x' n- Y' Q
Variance, 方差
( m( V6 Z& N% gVariation, 变异% a1 m! }8 X3 C5 D8 d
Varimax orthogonal rotation, 方差最大正交旋转 [2 }' S1 J: j( l; m
Volume of distribution, 容积
6 Z5 ?1 d5 x+ T( _' H1 P6 aW test, W检验
( S( M% X# w C" AWeibull distribution, 威布尔分布
1 y, F1 K6 `) C( [+ }Weight, 权数) m; [" v0 F9 Y2 v9 o6 i: R9 M
Weighted Chi-square test, 加权卡方检验/Cochran检验2 Z: s+ z7 n# n3 X
Weighted linear regression method, 加权直线回归
4 N9 O! X' x9 K3 x# s9 w5 |Weighted mean, 加权平均数
, F, E) A6 T. D0 e9 b. QWeighted mean square, 加权平均方差6 ~4 v I) e! ]& \! i& [
Weighted sum of square, 加权平方和
B& n+ D V4 Y4 p# jWeighting coefficient, 权重系数; n7 D8 I/ X: c. r
Weighting method, 加权法
& x9 A) P s/ {0 f9 N4 H4 \W-estimation, W估计量1 @% N% ]' K/ ~. k5 `, K/ P
W-estimation of location, 位置W估计量
6 D7 u) F1 ^2 U4 a# y9 iWidth, 宽度
0 i. Y9 }* q* V: |Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
4 ^$ a- Z6 ~) FWild point, 野点/狂点; J* m5 g# `/ |- q
Wild value, 野值/狂值+ G' b$ q p4 p% e }) W
Winsorized mean, 缩尾均值, d0 J, z4 F2 @( @" v& _
Withdraw, 失访 - y8 J* b$ h. [9 H" i( W" Z% @+ X4 ]
Youden's index, 尤登指数. T' N7 \, T& n4 m A( D! b" H
Z test, Z检验; s. k4 Z2 P& W; }2 u ?! ~6 |6 J
Zero correlation, 零相关$ [; `" R0 Q9 q9 m
Z-transformation, Z变换 |
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