|
|
Absolute deviation, 绝对离差
) c" r: ^$ w, {! C bAbsolute number, 绝对数" E9 e( H( F; s0 J' X2 a0 e
Absolute residuals, 绝对残差* d% U) Y! X+ \7 g
Acceleration array, 加速度立体阵
5 A) `6 Q- H! w( @6 cAcceleration in an arbitrary direction, 任意方向上的加速度
* ^: D) z: \& W( i$ `1 d! ~Acceleration normal, 法向加速度( r" N8 d* u, e; f
Acceleration space dimension, 加速度空间的维数, N& T1 R$ \* i6 ?+ P o0 z
Acceleration tangential, 切向加速度- G6 n1 u! b. `) m' J! [6 }
Acceleration vector, 加速度向量
' l+ s2 d' \7 [1 B ?: O" [Acceptable hypothesis, 可接受假设8 T* S o( ~' H5 t* M) A( @: R
Accumulation, 累积" @2 I0 R& K5 r6 W& A I' n
Accuracy, 准确度
6 }- @" `. o1 Z1 `' q+ TActual frequency, 实际频数; O2 V7 u V- ]
Adaptive estimator, 自适应估计量
! n) O& ~! {4 Q/ m7 T5 Y: xAddition, 相加3 `; c! Y: S& A+ [/ D: l
Addition theorem, 加法定理9 s3 J7 O: i) t$ Z) |1 U
Additivity, 可加性
( a, o5 W9 }% o: g4 u; ^Adjusted rate, 调整率
2 B; j# ]/ ^& }3 z. zAdjusted value, 校正值
0 ~ V9 i+ B: S7 Z$ I3 tAdmissible error, 容许误差
9 Q' B3 M" T0 Z4 w6 O; k0 M) o- K( [5 ~Aggregation, 聚集性
/ }2 V* R: M- }- V8 _Alternative hypothesis, 备择假设
4 h0 H# r$ S" E5 xAmong groups, 组间* g8 O# S: P; Y7 o
Amounts, 总量/ `# `3 ~+ h- v& L8 w
Analysis of correlation, 相关分析
7 K9 K8 ~: J. Y4 `8 M. lAnalysis of covariance, 协方差分析2 E2 O. v& l% q3 `, z
Analysis of regression, 回归分析
- W6 j4 M0 t$ J( z+ [1 Y: qAnalysis of time series, 时间序列分析
2 {" Q, N P4 o* \' G9 J5 iAnalysis of variance, 方差分析5 D7 j/ D4 ~ c N
Angular transformation, 角转换1 p# E0 ]% ~5 a9 Z
ANOVA （analysis of variance）, 方差分析
_1 Q) I: r2 \! L0 aANOVA Models, 方差分析模型
" @+ Z8 k, t8 e; j2 y5 j$ BArcing, 弧/弧旋) T$ Y6 X0 N9 \5 X/ ~; `
Arcsine transformation, 反正弦变换
6 \" G+ \: c8 h4 |Area under the curve, 曲线面积" }2 o, _4 I9 p# C4 S) v- F
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
8 v5 X8 z4 `: z- L" H0 t3 h( EARIMA, 季节和非季节性单变量模型的极大似然估计
- a8 g, |* k* S. o7 fArithmetic grid paper, 算术格纸& [- p+ G# M& K& A6 e) N
Arithmetic mean, 算术平均数) u: K& @3 h d, C! S
Arrhenius relation, 艾恩尼斯关系* y+ w9 j7 l8 d$ `
Assessing fit, 拟合的评估: a4 c' D& a- ]1 H
Associative laws, 结合律) V9 u, X7 ~* l1 V+ ~
Asymmetric distribution, 非对称分布9 m3 T# V8 H; i
Asymptotic bias, 渐近偏倚
; Y$ V# N, T: S, p+ Y! J' ]Asymptotic efficiency, 渐近效率. y" E9 g, D/ y6 z
Asymptotic variance, 渐近方差
/ x) h% v( } ~. {/ z' RAttributable risk, 归因危险度+ a A" s/ z6 m0 m, H
Attribute data, 属性资料
: [8 Y8 z8 f# z7 q+ KAttribution, 属性. Q" b, v. [5 k+ _2 a& w5 D; {) o
Autocorrelation, 自相关$ u9 T' p# A$ \( _" P( @" H
Autocorrelation of residuals, 残差的自相关
: V3 R! t7 d$ }' R% s6 N8 \Average, 平均数7 J# F4 f: v6 {2 f! `$ U) v
Average confidence interval length, 平均置信区间长度
2 u$ F! V9 t6 T) Y9 j2 \$ gAverage growth rate, 平均增长率
+ F! I: U: v/ T& {+ ~* wBar chart, 条形图
3 b* |( t5 ~+ I# F* ]Bar graph, 条形图
2 C$ U4 S5 F: N: kBase period, 基期' f7 k* h; B: O. {
Bayes' theorem , Bayes定理
! K8 }9 D% @- d F! F2 pBell-shaped curve, 钟形曲线& K$ i' n: W6 I4 \ b
Bernoulli distribution, 伯努力分布
! g5 d7 H0 A$ Y& ]9 Z+ m- }3 NBest-trim estimator, 最好切尾估计量1 S6 d6 Z- |5 {0 I) K _+ A
Bias, 偏性% `+ j* H# m) e6 ?
Binary logistic regression, 二元逻辑斯蒂回归
& |& ]" l' P& {- aBinomial distribution, 二项分布3 D1 {; A% H% }8 ]6 ?/ @
Bisquare, 双平方9 P( ~8 w5 b" f, f
Bivariate Correlate, 二变量相关. k: Y/ @. E7 p {2 ?7 G
Bivariate normal distribution, 双变量正态分布
. L1 ?5 K- c; x3 ~Bivariate normal population, 双变量正态总体
1 R R4 U8 b$ `. T. n# ?1 JBiweight interval, 双权区间
t4 ~* R' W% r! {8 xBiweight M-estimator, 双权M估计量
B1 f+ k& H' H" WBlock, 区组/配伍组, E- j |* ~4 ~4 T8 A
BMDP(Biomedical computer programs), BMDP统计软件包! |4 b. j# S8 G9 x
Boxplots, 箱线图/箱尾图
4 I' s% @, `' ~2 Z! r) }: K/ T0 ABreakdown bound, 崩溃界/崩溃点7 M, {) J: D @# R* m0 {
Canonical correlation, 典型相关
1 y& U$ R: r8 P! J j$ A; nCaption, 纵标目
# ~& V- h9 g% F) PCase-control study, 病例对照研究
! J- _8 Q* u: J. e8 u- t) SCategorical variable, 分类变量
. S- Q W+ r! `, O! _$ xCatenary, 悬链线 D* R& q. A" g- c/ j
Cauchy distribution, 柯西分布5 T* n, w8 W( Z% A6 P5 n
Cause-and-effect relationship, 因果关系
+ g U0 I9 ]7 d- uCell, 单元
% D$ ^- ]" T1 n& \4 [6 k- ~; pCensoring, 终检: K9 a2 t& U: l# i6 z$ Z4 M4 Z, c4 b! H. T
Center of symmetry, 对称中心
" r7 C I$ ]; `$ |Centering and scaling, 中心化和定标
$ s+ Z& d5 B j4 y; I9 O& h, qCentral tendency, 集中趋势' E3 V, ]5 x& ^8 y3 i" z$ f% ]9 S: `
Central value, 中心值. t/ x6 L: c. @# \. F) \8 i; Q
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
@& s# R6 z& J, T. h( R. @0 {Chance, 机遇
$ G& Z# x1 I; x; H; S& [+ t! H1 r4 uChance error, 随机误差
: H" ~. O; x$ Z8 yChance variable, 随机变量0 q" A& ]8 j& j; j8 L
Characteristic equation, 特征方程
& q9 l# }# }9 d9 FCharacteristic root, 特征根
* T S& n; m9 k! {Characteristic vector, 特征向量- f$ m2 |7 h1 o( H
Chebshev criterion of fit, 拟合的切比雪夫准则8 W4 v3 K+ M/ A, d) |* J* {4 u
Chernoff faces, 切尔诺夫脸谱图
# Q2 p( p h4 F! XChi-square test, 卡方检验/χ2检验
1 i' t" K* \1 c. ?7 j* ]" q/ _Choleskey decomposition, 乔洛斯基分解% P2 q4 E* d1 |* {, m- t
Circle chart, 圆图
6 N; H+ m! K5 nClass interval, 组距1 s8 }. f1 ^1 ], h
Class mid-value, 组中值" v* t( g7 `! ~4 j( L9 E2 y% C( d
Class upper limit, 组上限2 ]! E, |9 F& \% V/ H0 _' X8 B
Classified variable, 分类变量
4 e) L: X* j3 e$ ?Cluster analysis, 聚类分析7 Z. c6 }2 s) E8 A& w
Cluster sampling, 整群抽样
5 L2 H* @! ^0 N% \Code, 代码
0 R* B5 W0 n9 F( [9 p% WCoded data, 编码数据8 Z) z: w! Y% g Q( [% _
Coding, 编码% L: G5 |) B7 l1 y
Coefficient of contingency, 列联系数
9 R; E# U+ P, @. TCoefficient of determination, 决定系数. b$ U6 g$ [: u0 x; _$ M+ n$ p8 s
Coefficient of multiple correlation, 多重相关系数" x3 D5 T4 d6 }3 |+ a) Y' ]
Coefficient of partial correlation, 偏相关系数2 g% Y2 U" O& G, e+ ]4 O) D
Coefficient of production-moment correlation, 积差相关系数
% o3 G8 Z" {+ m# ?( N! K! ^Coefficient of rank correlation, 等级相关系数
8 Z( o& ^8 K* j2 k% u, N9 RCoefficient of regression, 回归系数
0 L2 }+ v& y$ ^ ~+ P# {Coefficient of skewness, 偏度系数
; y5 t# F6 ]% }' {Coefficient of variation, 变异系数! R9 g/ G9 }7 f, `4 x7 y9 }
Cohort study, 队列研究
( j. ]+ x7 q, Y$ L$ pColumn, 列
" q% I( O5 S2 j5 lColumn effect, 列效应) `. y4 R N: a' ], @+ }& h# v
Column factor, 列因素
2 \8 C" N' |6 j! M _* l2 FCombination pool, 合并, D& z1 @3 g- v8 H3 W: ]' r
Combinative table, 组合表
& R5 p( \% Z% k2 i) O. i0 o7 j) SCommon factor, 共性因子
( i: b1 u: e2 r9 `( jCommon regression coefficient, 公共回归系数& `# h- @9 F0 h# k
Common value, 共同值% F+ J! s0 r- d9 Q
Common variance, 公共方差2 G# i9 c5 F# O( n; q! p8 k9 [
Common variation, 公共变异2 o0 q0 J7 F' k
Communality variance, 共性方差
% X, n2 O8 r Z. y! b6 G# t8 @& @/ uComparability, 可比性
8 S- m* U8 i+ c$ t6 E/ Y& uComparison of bathes, 批比较
+ d% U7 N# d3 F% E) Z) N4 S' TComparison value, 比较值9 v) Y. G% n/ q m6 g/ v! Q; m
Compartment model, 分部模型
- [2 n0 Q2 f6 w! L- Z1 UCompassion, 伸缩0 n4 z5 _8 Q# z2 a+ E# Z! \3 K, d7 v
Complement of an event, 补事件
2 c5 f, @, r) ?: P- C9 u, YComplete association, 完全正相关
1 D D* }( M+ j3 \+ Q6 [Complete dissociation, 完全不相关
1 n9 }) y) r) Y1 N5 L8 S; N6 @" FComplete statistics, 完备统计量
1 { ^4 z( i$ i9 dCompletely randomized design, 完全随机化设计2 K: J7 ~3 ~0 D! z
Composite event, 联合事件) J( i: s* @% j# [+ _
Composite events, 复合事件
) J3 ]) l$ t8 v, C. V1 `Concavity, 凹性8 Z: o1 L% u& ?3 g+ O( ?& C
Conditional expectation, 条件期望( l8 l6 O. r' Y! h
Conditional likelihood, 条件似然
0 o1 ~- M+ }, d5 G% X* Q; f8 xConditional probability, 条件概率
/ ~' \# G8 Y# o) H2 AConditionally linear, 依条件线性2 ^3 c3 B/ ]8 \3 l; @
Confidence interval, 置信区间
9 W, C1 B1 r# { q% A7 Q7 @; NConfidence limit, 置信限
+ }0 h* b$ s9 gConfidence lower limit, 置信下限
; B% o" I/ H* y! `: S4 CConfidence upper limit, 置信上限 l/ U% n. N, d5 e% R+ \
Confirmatory Factor Analysis , 验证性因子分析: u* w9 ~& b% U+ j' O
Confirmatory research, 证实性实验研究& `+ x' n+ i) q# P' X2 u7 K% x2 }
Confounding factor, 混杂因素
; H* J5 z, w" s3 [4 h# oConjoint, 联合分析4 I V) x5 @0 Y T
Consistency, 相合性1 n" T! G# f5 w7 }- u( i
Consistency check, 一致性检验
$ E% M& [3 k3 q+ ~. C; c! A) sConsistent asymptotically normal estimate, 相合渐近正态估计2 o1 W" S, s7 ]* w
Consistent estimate, 相合估计+ ?: F! m, d0 A! x1 F
Constrained nonlinear regression, 受约束非线性回归 r Y. j8 R0 M# ^4 z
Constraint, 约束, Y: e4 D' ?( F1 t' S- m* x
Contaminated distribution, 污染分布
/ C! m3 I5 U0 [2 p7 A3 g: nContaminated Gausssian, 污染高斯分布9 K: f k; Q7 O" w4 e7 A5 V
Contaminated normal distribution, 污染正态分布3 t8 ?1 K/ {! _
Contamination, 污染
' X: f0 F6 `0 }: V6 JContamination model, 污染模型
% m: _" s6 ]0 kContingency table, 列联表
% t C# h& l- A. U# V% cContour, 边界线$ V1 |7 P0 a8 ?/ A
Contribution rate, 贡献率
9 f s! \, y/ j: ?1 n1 I- MControl, 对照
$ x/ ~) w6 W) Q4 t, KControlled experiments, 对照实验" O7 N% B! R3 t% a u$ \/ w
Conventional depth, 常规深度
& w8 Q6 A, D% f7 t! l( YConvolution, 卷积* `6 e- |3 l1 ?! d$ T
Corrected factor, 校正因子
8 [+ C' Z5 G" ~0 G5 }8 {3 u5 NCorrected mean, 校正均值# V$ L( \, @! h7 G
Correction coefficient, 校正系数" {! J4 G- i9 K2 p, O/ v8 b) f+ j
Correctness, 正确性
+ }+ T/ s# M( n% U- _# ~. pCorrelation coefficient, 相关系数
' W# g& ]4 }/ g8 T4 Y! uCorrelation index, 相关指数* h' s0 ~4 ?7 l$ t# o
Correspondence, 对应9 }) g& p7 ], U4 F( m% V7 C- i
Counting, 计数
3 \7 ]' ^, z( l) x$ }, i. UCounts, 计数/频数
: E% b1 C" X4 j! u7 GCovariance, 协方差
9 b' u {, d% D$ s0 ^9 e1 q' NCovariant, 共变
$ h9 [: B' G) I& l$ F* SCox Regression, Cox回归; Z6 Q$ V0 q" I& z7 k: Z1 d
Criteria for fitting, 拟合准则
- h1 `/ _; {0 k2 o6 c( V1 i2 jCriteria of least squares, 最小二乘准则
1 X1 |! h8 s* D$ q: v2 ZCritical ratio, 临界比3 N( j' J& e/ l" |% H
Critical region, 拒绝域: f9 s5 y6 j) n( G1 W
Critical value, 临界值
; F; K2 [8 e/ W3 Z# a/ RCross-over design, 交叉设计! _& G, _7 S" }% p! P% Z- e
Cross-section analysis, 横断面分析. n* r4 a# B9 |% I
Cross-section survey, 横断面调查' ~/ d# ]) p/ C) j1 t( ^! ~
Crosstabs , 交叉表
; z) [1 o( T3 bCross-tabulation table, 复合表) G: b1 N' U0 k$ |8 l
Cube root, 立方根
4 O3 `- _! ^& m- MCumulative distribution function, 分布函数8 j' |( M( k, @+ Q R& @4 U$ [
Cumulative probability, 累计概率9 [) b3 g' L, A `
Curvature, 曲率/弯曲- M' x& n) l4 H
Curvature, 曲率2 r: V# z; z/ G1 D# j1 c. V1 x. W
Curve fit , 曲线拟和 ) @! a+ x2 T( W3 \7 v0 O
Curve fitting, 曲线拟合
, x7 n" |- |$ \4 F7 U2 }: X h- [Curvilinear regression, 曲线回归* x; ^0 e5 [; g3 u+ y# n0 i
Curvilinear relation, 曲线关系7 l. [# ]5 ]7 @: x
Cut-and-try method, 尝试法
! ~% y: q a, M8 H! f: RCycle, 周期3 B& V6 G3 }/ f d
Cyclist, 周期性
/ s% J, u. V8 ?$ h5 B( @D test, D检验
) r; Q; h( I$ n6 L' K3 F" P% KData acquisition, 资料收集. E5 z L2 h9 F$ i2 y8 F
Data bank, 数据库; r2 Q" ~, B. X
Data capacity, 数据容量
/ Z# J# f' O: i kData deficiencies, 数据缺乏+ ?& f6 W( J, U* p; j) s) P
Data handling, 数据处理
) E. l+ E3 a, YData manipulation, 数据处理
1 x3 a! `8 M* GData processing, 数据处理6 l6 A5 E$ X5 g
Data reduction, 数据缩减7 R5 t$ a+ n; v6 r+ v" I- B4 h
Data set, 数据集
! T- {, x7 \) }$ MData sources, 数据来源7 e/ }, A$ M! a* ~, S
Data transformation, 数据变换$ D; z; O/ M6 o# |) J
Data validity, 数据有效性+ S5 A2 n9 { Y/ A( U
Data-in, 数据输入; b: u j; C5 j% C, M
Data-out, 数据输出0 Y$ O4 z4 H; T+ O* E/ a
Dead time, 停滞期% D# t) V: c8 T3 H q. Z+ z" r7 }
Degree of freedom, 自由度% E# P( a3 j' ^) V4 T
Degree of precision, 精密度
, I: x, e" F- ADegree of reliability, 可靠性程度9 A( H: R' r: ]7 c, K
Degression, 递减9 `" l* W, D7 b$ H: B5 p: p
Density function, 密度函数# ]9 }4 d* {1 G0 z* u! E- p
Density of data points, 数据点的密度
3 h* n4 z: P/ ADependent variable, 应变量/依变量/因变量) z: g' Y- J. B- ?- A/ v @
Dependent variable, 因变量2 X# d/ \ i. b! q$ n0 j
Depth, 深度6 l* b9 A* `: w. v w- t) J% q
Derivative matrix, 导数矩阵; `2 T; F5 [2 T: ?
Derivative-free methods, 无导数方法 q1 f& g1 f9 x
Design, 设计# I" J% U. E4 L
Determinacy, 确定性, X3 b1 R) h& A; B! r
Determinant, 行列式1 N3 B( J& v- K7 m2 S: z8 j3 j; Z1 Q
Determinant, 决定因素
9 P' b) m$ t. Z% X4 u% CDeviation, 离差1 E0 i0 ^; `8 w) O- G) ^1 [2 X6 J
Deviation from average, 离均差
8 i5 A; ?! t% f) f; eDiagnostic plot, 诊断图. Q% }& P4 o6 W' Z8 B
Dichotomous variable, 二分变量! _9 D- Z/ I9 t: ^4 @
Differential equation, 微分方程6 v/ d9 n" j" s- _9 r* Z
Direct standardization, 直接标准化法
% x( Q8 ~) W6 X+ d: PDiscrete variable, 离散型变量* ^( h9 T" z( U5 G
DISCRIMINANT, 判断 ( X# n R7 S: Z2 H; B. v( I5 B3 f6 }% k
Discriminant analysis, 判别分析
- s. |5 p0 [; _& \- EDiscriminant coefficient, 判别系数
( p( d( R4 U5 N4 m$ Y" ZDiscriminant function, 判别值: A9 l) I1 t- |7 |+ N7 B
Dispersion, 散布/分散度. D! l; x* o+ J1 }' u1 H( o) K) i- M" J
Disproportional, 不成比例的& l/ i/ o% l% e. \: |/ `
Disproportionate sub-class numbers, 不成比例次级组含量
, w5 y3 V) V F6 K3 A5 R% a& GDistribution free, 分布无关性/免分布
' o8 i1 d' S* ~3 J# C, L3 ?6 ?" ODistribution shape, 分布形状6 A6 P# p( i& T- S5 e5 Y% _/ S7 ]
Distribution-free method, 任意分布法
6 r* r M, ?& Q4 ] H* [, CDistributive laws, 分配律
( B$ D3 Y7 h8 j+ MDisturbance, 随机扰动项
- y! h! D" V+ S2 H3 y. m5 NDose response curve, 剂量反应曲线
. J: K, f- X5 @$ ]1 y4 N+ e5 u$ EDouble blind method, 双盲法7 v* {6 N( Q$ n) a
Double blind trial, 双盲试验
a$ u2 T9 W' w6 `8 h) ADouble exponential distribution, 双指数分布& {1 h3 m9 e/ ^
Double logarithmic, 双对数
$ t4 G1 I5 E( r2 bDownward rank, 降秩
( Q- Y: G8 k4 F6 @3 FDual-space plot, 对偶空间图: O) i" D; e' |( O1 J
DUD, 无导数方法% _. |4 R( P! u5 n
Duncan's new multiple range method, 新复极差法/Duncan新法# ?, [4 u3 V. l. U+ [
Effect, 实验效应: R& c% `, f9 k: D8 M; Y
Eigenvalue, 特征值% P! k [& Q( x2 N
Eigenvector, 特征向量
u1 s1 P+ ^+ f8 m. i) [; H4 kEllipse, 椭圆1 \9 P- Q" o. A5 ?5 {8 F
Empirical distribution, 经验分布
9 z" i5 B) U* O* X" |1 PEmpirical probability, 经验概率单位2 n; X- }' {4 Y9 p& y
Enumeration data, 计数资料
3 e6 Y$ e* S% `6 q, ?! Y* @Equal sun-class number, 相等次级组含量8 f9 ^, M, L. E
Equally likely, 等可能
4 U$ v5 I( L( R; s" e, v& b/ GEquivariance, 同变性
v3 x/ E0 x& }9 v) T7 I" FError, 误差/错误
, ^1 @! c# ?8 g, P7 q) PError of estimate, 估计误差/ P* M8 Q; v& m) T" b- |& N4 Q" x
Error type I, 第一类错误& }2 {/ P; P$ e. ]; W5 R
Error type II, 第二类错误
% I1 O; f: m. E% }4 XEstimand, 被估量
8 u; ~4 z+ ]9 ~1 a" jEstimated error mean squares, 估计误差均方. e$ `( h$ f" k5 J9 M
Estimated error sum of squares, 估计误差平方和
* e/ g6 f6 ]% \3 iEuclidean distance, 欧式距离" Q% S* H7 i/ _1 a+ m* ^, @
Event, 事件4 e( F* s# Z1 H6 z% Q% t
Event, 事件. N, M) F; }* |5 o/ ~! Q
Exceptional data point, 异常数据点# u& ^8 e+ U' M- o
Expectation plane, 期望平面6 R0 ]: k: w) I
Expectation surface, 期望曲面0 \0 o0 c/ c; r8 b0 j5 z
Expected values, 期望值
) h* D0 G& E9 ^& J4 H" wExperiment, 实验
0 K& @/ a! c0 U1 G, Q! eExperimental sampling, 试验抽样9 m* v% l6 l6 v; t, W
Experimental unit, 试验单位7 H2 \3 `/ X) }- r) O6 V8 I
Explanatory variable, 说明变量
+ c* d }. \* q7 U! j! E+ F6 T8 \/ D" JExploratory data analysis, 探索性数据分析
. A$ ^+ ]7 q1 n, y5 ~Explore Summarize, 探索-摘要
! V7 m5 G4 @! ]9 GExponential curve, 指数曲线
, [9 `9 G: R$ K/ qExponential growth, 指数式增长- x! U( J' T- D4 X
EXSMOOTH, 指数平滑方法
# t7 [8 T0 n. [6 I4 YExtended fit, 扩充拟合& _& G/ a- M _5 z) {- p& P
Extra parameter, 附加参数
+ D' l+ `, K7 b2 B+ {Extrapolation, 外推法! ?% J6 q! D' {' ?" |4 w0 w1 M I4 l
Extreme observation, 末端观测值! |1 a$ W7 |7 \$ D! i/ p c. Z
Extremes, 极端值/极值. w0 x/ a( p9 E/ G2 ~" Q% t
F distribution, F分布! K/ b7 V4 D+ L# \3 W
F test, F检验' X: g& I& m' D
Factor, 因素/因子2 ?2 z4 U! n0 u" y' z m+ _
Factor analysis, 因子分析
; U2 i; h; s0 I0 N# @2 L* kFactor Analysis, 因子分析
) Z# N9 [0 [+ Q* j" a- dFactor score, 因子得分
, j; u( F: n) [Factorial, 阶乘
2 X1 ~- C h3 j ] ]( cFactorial design, 析因试验设计+ ~2 Z4 M2 G# j2 j
False negative, 假阴性. {5 n/ G+ D9 T/ [; N
False negative error, 假阴性错误' H& v/ G- R( |$ @
Family of distributions, 分布族# F# W3 T2 i% P" J4 U* Z$ N6 Y- e
Family of estimators, 估计量族5 H9 R1 A! j+ W9 B/ \5 n
Fanning, 扇面 b) c$ [4 u1 X& X: y/ _
Fatality rate, 病死率, x2 y+ S2 t# H" X) q
Field investigation, 现场调查2 b( w" u$ y% @+ ~% P* z
Field survey, 现场调查0 q t9 M( Y4 [$ E- l) @3 b9 m/ C" R# u
Finite population, 有限总体
7 Y6 O0 |+ m$ h3 [/ l' Y$ l& yFinite-sample, 有限样本 @2 q/ t7 i0 ]! l
First derivative, 一阶导数2 c+ b, \6 k0 v7 M' m: V
First principal component, 第一主成分
- c4 F" i! Q: \( d% ^* t/ [+ hFirst quartile, 第一四分位数, l' G6 F5 B7 M6 |( [3 `( z0 G. \
Fisher information, 费雪信息量
3 N: d2 `$ E. GFitted value, 拟合值' D5 c9 `( b8 m- r. @. c U
Fitting a curve, 曲线拟合. x# @% y4 u" `$ t
Fixed base, 定基
t+ {( }8 w7 `# f5 t aFluctuation, 随机起伏4 N: K6 L; M- u" i! b
Forecast, 预测. H' `5 Y/ p; ^- Y+ D0 W
Four fold table, 四格表
" p9 I/ g; g5 j" C# N# BFourth, 四分点6 M0 n4 ]; J: K5 f
Fraction blow, 左侧比率
8 k: r2 q% z8 j( J3 G9 TFractional error, 相对误差+ k, A8 a: i# F4 B: O5 [
Frequency, 频率
, X! f7 I% s2 `( LFrequency polygon, 频数多边图
0 j; [7 H p& g4 D& GFrontier point, 界限点8 Q5 H- K; D( H
Function relationship, 泛函关系
5 P+ c1 j6 ]; S# k- o k6 JGamma distribution, 伽玛分布+ ]# T( ~! O! G& {5 u8 f6 S! X
Gauss increment, 高斯增量
* ?+ s" J: g4 P O" q/ P+ aGaussian distribution, 高斯分布/正态分布3 C: D8 ~1 ?" v" F2 R
Gauss-Newton increment, 高斯-牛顿增量; y2 X& w/ P) N" ]& q' o
General census, 全面普查. s4 q8 w- ^/ w: a6 |. ^
GENLOG (Generalized liner models), 广义线性模型
; Q2 |/ N. w! E9 s! x; T4 @& x0 XGeometric mean, 几何平均数" U3 D2 ] E, o8 Z0 c
Gini's mean difference, 基尼均差
/ S* B. v/ F VGLM (General liner models), 一般线性模型
' R& I p2 A. L9 PGoodness of fit, 拟和优度/配合度% H0 F0 K1 e3 }" A; L! W9 }
Gradient of determinant, 行列式的梯度. u( P5 |% s' q9 x$ {
Graeco-Latin square, 希腊拉丁方; N5 a/ j" [( U9 s1 ]
Grand mean, 总均值
4 k" m( y+ Y4 P' ?; o, \Gross errors, 重大错误+ t+ l2 Y& c+ }) j: M. t7 C
Gross-error sensitivity, 大错敏感度
1 B; D4 [6 X4 E+ [% l: G- }+ R( OGroup averages, 分组平均8 U3 [& j$ Z6 v0 \9 F, R. H
Grouped data, 分组资料- D1 r' y3 d+ H
Guessed mean, 假定平均数# v, ~, P |3 ]2 \( }/ @
Half-life, 半衰期) [ C o9 r, {" @
Hampel M-estimators, 汉佩尔M估计量
8 _! H! J2 b7 w* QHappenstance, 偶然事件! v& t9 }+ i) K X: n# H6 n
Harmonic mean, 调和均数, a6 V; R4 D4 @3 C& R! ~! l8 E6 c
Hazard function, 风险均数
- F8 G D3 C( dHazard rate, 风险率
" |% E* I9 N. eHeading, 标目
) ]9 |! x' ~! V# eHeavy-tailed distribution, 重尾分布4 F- }9 P6 l# P1 X; M% U4 C% }5 T4 B: M
Hessian array, 海森立体阵% C% q" b: q W9 `: y! V
Heterogeneity, 不同质- [; o" ~4 ], ^2 _9 z3 I/ G
Heterogeneity of variance, 方差不齐 ) ]& Q) K5 W9 Z; h
Hierarchical classification, 组内分组9 }/ ]: O$ `2 G6 T( E
Hierarchical clustering method, 系统聚类法
) o+ e/ c7 L. i, o$ y: yHigh-leverage point, 高杠杆率点, @4 h) [% u" W F, u) ?
HILOGLINEAR, 多维列联表的层次对数线性模型
- W3 [3 _ _2 IHinge, 折叶点
: M" ^* R; F" n" [: ^9 ^0 wHistogram, 直方图! A# ?6 P2 I8 `' X% i% h
Historical cohort study, 历史性队列研究 9 m: f$ d7 d* H. k/ |% b% \
Holes, 空洞
/ V1 r8 P( v' N9 [- \) G+ MHOMALS, 多重响应分析% E' V2 Y: H& e: h8 S z
Homogeneity of variance, 方差齐性7 n. n- I/ z- R' |
Homogeneity test, 齐性检验
) p4 }. i( a& @& Y- NHuber M-estimators, 休伯M估计量
# L& P# ]4 K5 |: A. nHyperbola, 双曲线
* e6 O% B& y8 B$ n- f: ]/ Q+ zHypothesis testing, 假设检验4 B5 ] j/ m1 Q$ F9 ~
Hypothetical universe, 假设总体) H- I3 t8 S- I; U; f+ L; [
Impossible event, 不可能事件" w# d0 h% K& U' u1 t
Independence, 独立性
, E; [0 X2 Y1 h3 X6 y( \Independent variable, 自变量% ]- k7 L" T" [5 b% r
Index, 指标/指数
! S% j9 A4 A5 K7 V& QIndirect standardization, 间接标准化法
: B9 v5 g2 M9 ?& U. ^Individual, 个体
/ c5 m3 I c! aInference band, 推断带
; M O! f$ q! G6 h% ^( x: sInfinite population, 无限总体
. O+ i9 X/ l3 h" d' W: JInfinitely great, 无穷大; l$ t/ c4 V' ^% q4 k3 i
Infinitely small, 无穷小) E9 R4 Z: c1 V; Q S
Influence curve, 影响曲线9 b7 P4 `$ e- l! E
Information capacity, 信息容量5 x( j! v' Z, T ~6 S5 J0 ?/ s7 d' o- z
Initial condition, 初始条件: e/ N: L% {) s
Initial estimate, 初始估计值
4 t+ a4 H! Y' C: y* E! k# NInitial level, 最初水平: e- Q" Y2 A5 i' j4 D
Interaction, 交互作用
$ d$ |8 U Y3 O" yInteraction terms, 交互作用项! N6 E, F0 H& A6 b
Intercept, 截距
: @) @2 u: J; u7 TInterpolation, 内插法
; e7 S$ I, h$ |+ W+ Z/ AInterquartile range, 四分位距, ]& L' R( z9 V
Interval estimation, 区间估计
: b8 d. j( K0 V6 o& VIntervals of equal probability, 等概率区间
" g" W6 s) J- U2 h i* w; e% wIntrinsic curvature, 固有曲率
1 }) q( I: ^- J4 y+ i# x9 cInvariance, 不变性/ W% K5 u* H' X2 a* v
Inverse matrix, 逆矩阵
. K0 P. a: m" M ?! vInverse probability, 逆概率
4 ]; r4 E& X ~( L8 K6 ^Inverse sine transformation, 反正弦变换
- s! L9 d$ R s& Z) z+ R2 u9 yIteration, 迭代
9 i* [9 N5 N7 ]+ cJacobian determinant, 雅可比行列式* Q, U$ v' V2 D0 B9 A9 _6 {* x5 ~
Joint distribution function, 分布函数 O5 |4 Q) H9 z
Joint probability, 联合概率4 N) k2 p( [! u) _/ k9 n) |9 D
Joint probability distribution, 联合概率分布
; M2 Z3 u* U n0 @K means method, 逐步聚类法
. t4 C4 }$ |6 \. A% y( K ?% w* F. WKaplan-Meier, 评估事件的时间长度
# c n6 Y0 T; C1 \' ~' B/ SKaplan-Merier chart, Kaplan-Merier图% x4 p) ~0 b: C- m5 [3 N
Kendall's rank correlation, Kendall等级相关* _$ R) n! P# z" [% X
Kinetic, 动力学$ `0 }" ?) o) T2 B+ c
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
2 c+ {7 Z) Q# K) g2 RKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验& U9 s. o$ b) P! N6 Q- S! J
Kurtosis, 峰度 ]/ f" u- y, W
Lack of fit, 失拟
4 P2 O; J. v9 ?4 BLadder of powers, 幂阶梯
# d0 \9 W7 W! j$ w3 eLag, 滞后
# c A% i# h& I' lLarge sample, 大样本
0 } N! Y; k S# A1 v7 \& {) K+ d: lLarge sample test, 大样本检验2 {( x5 P# [( N
Latin square, 拉丁方# _' M2 u, n" f( U/ v
Latin square design, 拉丁方设计
( @3 h, ?# Y1 U' e; n9 CLeakage, 泄漏" O! U0 i& A2 o8 [( b0 C
Least favorable configuration, 最不利构形/ i3 f$ U! p. {( t+ M
Least favorable distribution, 最不利分布
0 W+ K& p2 _# V: E- G' eLeast significant difference, 最小显著差法
3 T" h' r+ I2 d* q$ J2 L% ~ OLeast square method, 最小二乘法! D. v0 P5 K0 [/ [; k% s
Least-absolute-residuals estimates, 最小绝对残差估计
- r" @" i+ Z* ^Least-absolute-residuals fit, 最小绝对残差拟合
_$ K, ]: i" v* C. y rLeast-absolute-residuals line, 最小绝对残差线
, b; B+ L7 z; N! zLegend, 图例
3 {5 [4 i/ x! K4 g2 rL-estimator, L估计量( J- t1 t! m* W7 O; g
L-estimator of location, 位置L估计量: |' J4 ?$ z" k' v* {, [( U; D
L-estimator of scale, 尺度L估计量
; ^& E. t. E- J% X2 q+ W* F! vLevel, 水平% _6 s# C r, A( F% G
Life expectance, 预期期望寿命
7 I( Q5 U% L8 t! E _3 X0 w) iLife table, 寿命表
& Z$ |! G9 m) b0 x" b* E+ l2 h8 ~Life table method, 生命表法
9 N! T" C- c7 H5 X! X- S' C8 n* dLight-tailed distribution, 轻尾分布; u- u: p# f# ^: }; ^
Likelihood function, 似然函数
9 f, J9 r4 @6 {: \! z5 f# gLikelihood ratio, 似然比
^+ \2 b0 J: ^- iline graph, 线图
- e8 Z7 ?# H0 U4 z- ^' J$ uLinear correlation, 直线相关 M8 X& F: n: ]/ d
Linear equation, 线性方程
4 I* t( X% Z) }1 ^Linear programming, 线性规划
; ~: G+ Q( w: }1 k! `; YLinear regression, 直线回归
% N: [% I1 N1 S( p- b* x6 RLinear Regression, 线性回归. D2 e3 M8 W: k: U) p/ f8 a
Linear trend, 线性趋势4 A2 H0 o' E1 f' z, m
Loading, 载荷
0 F% P" ~& w$ v1 CLocation and scale equivariance, 位置尺度同变性1 b1 T6 b% `& w/ ^9 X# q
Location equivariance, 位置同变性& t( y p; g+ `: V+ i: ]# d: v
Location invariance, 位置不变性
2 l/ r# Y7 ~' N: I0 D' s aLocation scale family, 位置尺度族# f! U% c- u# V& f
Log rank test, 时序检验 9 P/ w% ~ J; n' u1 Y9 g
Logarithmic curve, 对数曲线
8 U. W& o% P" lLogarithmic normal distribution, 对数正态分布
. A6 c0 K; S8 N9 W7 nLogarithmic scale, 对数尺度
: E: }1 y$ [5 l3 i/ a. FLogarithmic transformation, 对数变换
7 u- N3 j/ j& H. B/ S6 X5 e$ @Logic check, 逻辑检查/ d( _" M4 C# Y6 U! P0 l/ S! v
Logistic distribution, 逻辑斯特分布6 w; h2 F9 q5 v9 U$ b7 Q9 | N
Logit transformation, Logit转换
7 V% W( l* i0 b1 I7 ~# KLOGLINEAR, 多维列联表通用模型 7 W o- y$ H, ~) X
Lognormal distribution, 对数正态分布
4 Q4 O+ A% W1 [( V9 G% hLost function, 损失函数
! Q1 ?' a8 t. b3 v& C( vLow correlation, 低度相关7 ^: P( N* G, n! L8 {
Lower limit, 下限
) R: R. p* f) x. x& wLowest-attained variance, 最小可达方差( R" @3 ]' S, d3 G' Z4 p+ F7 l
LSD, 最小显著差法的简称
% T3 u) ^" t6 n! R) w. @Lurking variable, 潜在变量3 D( \. X: S& }
Main effect, 主效应
5 O) \) s9 Q! ^% s' ]5 G& {Major heading, 主辞标目3 e' i5 ?, w. O4 k$ F7 ~
Marginal density function, 边缘密度函数
0 d2 b4 E1 h. a$ [1 ~3 b6 oMarginal probability, 边缘概率' D6 C1 y5 o% c( Z. e# J! }" u
Marginal probability distribution, 边缘概率分布
: i1 y: J/ ]: b+ K! D0 ~Matched data, 配对资料: ]' P7 J( }6 t% e, w" w
Matched distribution, 匹配过分布
' |* H, b5 Y" [* vMatching of distribution, 分布的匹配
. W2 `& M# _- sMatching of transformation, 变换的匹配
0 E9 t( i0 s5 K! T( Q7 _. ]Mathematical expectation, 数学期望
/ Q+ P7 ]- O; ^/ c* B8 N, BMathematical model, 数学模型
1 E7 j p, T3 @8 nMaximum L-estimator, 极大极小L 估计量/ q7 _7 ^) c' \
Maximum likelihood method, 最大似然法
* n+ E6 y$ H7 K! A( BMean, 均数: o) Q$ w, |7 h' J1 M' N( J( H
Mean squares between groups, 组间均方
1 y, }' f6 e/ O8 w4 WMean squares within group, 组内均方$ Z7 `4 D# |% G _6 P" l
Means (Compare means), 均值-均值比较) W% w# y% }1 ?5 z8 j0 f
Median, 中位数 u4 q$ }% [: b% `; @
Median effective dose, 半数效量+ c7 g6 [) s( M3 p0 s
Median lethal dose, 半数致死量
0 Q' j! Y0 e' b+ KMedian polish, 中位数平滑' g2 ]9 E- p& K y
Median test, 中位数检验* Y" T# W1 g0 x$ C: K' O
Minimal sufficient statistic, 最小充分统计量0 A' ~2 v: v$ p/ H
Minimum distance estimation, 最小距离估计, G4 u- V9 O/ a C1 C+ ?
Minimum effective dose, 最小有效量% n9 s3 \& M0 x( R& A5 \; S5 x6 k
Minimum lethal dose, 最小致死量9 z: `7 }+ X/ ?- u
Minimum variance estimator, 最小方差估计量
; B; [7 G! U% a% Y& cMINITAB, 统计软件包
5 |$ a! n8 p9 t4 U( u3 s9 iMinor heading, 宾词标目 V( R4 m3 Z4 j' U
Missing data, 缺失值 t5 ^: Z, _% ?0 w1 B7 J
Model specification, 模型的确定
) I+ V+ N* [2 c6 c7 L- FModeling Statistics , 模型统计5 X' |; }! u, m/ b4 E0 v- t
Models for outliers, 离群值模型4 o0 D) M/ A3 `
Modifying the model, 模型的修正
8 ~/ p9 ^# ]% \Modulus of continuity, 连续性模) Z5 ?9 y S+ \5 _
Morbidity, 发病率
! M. }- I; S5 cMost favorable configuration, 最有利构形7 i8 E1 Z' {6 r8 d
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
7 i8 y5 r7 C. m B1 @: U0 ~# uMultinomial Logistic Regression , 多项逻辑斯蒂回归7 p- X7 h' ?) c2 J! d: A# o
Multiple comparison, 多重比较
7 c9 j4 ? w7 E; L, ^1 C; p" a) EMultiple correlation , 复相关
! k5 `, O( u. \: L$ b7 D2 OMultiple covariance, 多元协方差! ^) A( K# _- U; z
Multiple linear regression, 多元线性回归
9 s( o6 s! S8 t e$ k, RMultiple response , 多重选项2 d" T+ q+ T$ L
Multiple solutions, 多解
: E* E3 r4 b- z. \/ G1 r- L; fMultiplication theorem, 乘法定理8 m7 g9 C" E' a% j3 k
Multiresponse, 多元响应+ v3 C( i1 e$ t! ?8 v6 u& h, k
Multi-stage sampling, 多阶段抽样 w0 y$ v9 h; W. k, F: X. U
Multivariate T distribution, 多元T分布
& R+ [0 o) t* Y; aMutual exclusive, 互不相容, C7 h* ^( [% i$ b, E( ~5 ?
Mutual independence, 互相独立2 F* d& v9 J0 @1 u( V4 b
Natural boundary, 自然边界7 W4 J. q) o( Q/ b% H2 J
Natural dead, 自然死亡3 I" {( H" Y, d+ S$ t3 o
Natural zero, 自然零6 D. j4 U, F2 W$ V5 k8 U9 }
Negative correlation, 负相关
) m8 X3 D- `$ ~! }8 c5 O8 ONegative linear correlation, 负线性相关
) ]8 d) ]/ w' ~( q1 X4 }Negatively skewed, 负偏, b7 E" @- {: Y/ d3 C* x7 P
Newman-Keuls method, q检验
, t. p8 W L. G/ Q7 k9 nNK method, q检验4 n- b" d* a$ P3 H0 _4 r
No statistical significance, 无统计意义- R& G- X5 f! e0 E5 V
Nominal variable, 名义变量
. E1 {2 f$ O+ R" I9 N" hNonconstancy of variability, 变异的非定常性* i2 g' |9 A0 F. T. `
Nonlinear regression, 非线性相关8 f7 q2 {) { M; g
Nonparametric statistics, 非参数统计
, u' r" l. G) H' i3 ZNonparametric test, 非参数检验, a" q1 ~. ]! A( x, | c
Nonparametric tests, 非参数检验- _* N1 {. O0 z4 g' S: {" m- [
Normal deviate, 正态离差
) E: ^. Y8 ?) Q8 L: f' I8 p. bNormal distribution, 正态分布
, B7 o7 v9 {& }$ R# v6 r5 INormal equation, 正规方程组" _7 P, q7 I1 B' Q, n
Normal ranges, 正常范围4 i6 D0 {# ^& a) c8 i
Normal value, 正常值
1 n J' H1 h+ O! g7 q. |0 E# NNuisance parameter, 多余参数/讨厌参数0 m0 d6 _9 }1 G3 R1 b6 Y
Null hypothesis, 无效假设 7 X6 U# U4 Z. B, S$ }
Numerical variable, 数值变量
A, f" [* v& F6 V3 D9 y0 hObjective function, 目标函数" O5 j% Z" ]2 V# G( x4 b' I# q( e
Observation unit, 观察单位
0 J1 i4 D- G1 XObserved value, 观察值
4 `- L& a! z `$ l0 O9 uOne sided test, 单侧检验
/ p0 ]5 F; |) U3 N* i" |One-way analysis of variance, 单因素方差分析
y2 b8 g* a O8 ^. q; X; EOneway ANOVA , 单因素方差分析
8 `5 D; L* n+ Z* p! a6 q2 z* g# HOpen sequential trial, 开放型序贯设计5 K- Q1 D1 m1 D# T" ]# c
Optrim, 优切尾1 h% k5 C: v3 i1 o# _
Optrim efficiency, 优切尾效率
$ M) U9 a2 ^# ]! dOrder statistics, 顺序统计量
# D y w' H! n1 f' UOrdered categories, 有序分类9 _0 i1 L d0 n0 c. G
Ordinal logistic regression , 序数逻辑斯蒂回归
1 ]& O' ~0 f4 W# o3 W; c. A/ w( K+ EOrdinal variable, 有序变量
* R T; z8 [* I' I tOrthogonal basis, 正交基! n3 P- z" A& X' P) u* N
Orthogonal design, 正交试验设计$ }$ B" i- B! Q5 L! a' v
Orthogonality conditions, 正交条件
" E" e" L) g$ s2 F4 B9 t. [ORTHOPLAN, 正交设计
! k. ~' T+ p+ uOutlier cutoffs, 离群值截断点
9 y: ?* @4 V) E7 b; o7 oOutliers, 极端值) Y4 f( y+ y% K
OVERALS , 多组变量的非线性正规相关 , R6 F% Z" L, k; u% O ^- U
Overshoot, 迭代过度6 F$ u2 O% Y2 N* {8 p
Paired design, 配对设计
# ]% w7 y2 k7 P: sPaired sample, 配对样本9 {0 r* h6 R: s
Pairwise slopes, 成对斜率
. h3 s& @6 e6 z N+ l/ tParabola, 抛物线1 h% z1 a) y0 ~% }" o
Parallel tests, 平行试验
) x9 |- {( S4 GParameter, 参数
1 K; _9 ?: C7 N. }0 \% ` KParametric statistics, 参数统计
V- d4 J: b9 D, ]Parametric test, 参数检验
. Q5 {/ ?- |/ ]* Z6 BPartial correlation, 偏相关2 Z. y4 a3 s3 ^7 e9 x- ?0 J
Partial regression, 偏回归' r5 P; I, p7 J( ]/ L' k
Partial sorting, 偏排序2 e4 b, b5 H- Q1 ^3 f: o8 B
Partials residuals, 偏残差
+ B! p: S- q- A! j* CPattern, 模式
1 ?/ {7 M: H: U5 t; \. p; aPearson curves, 皮尔逊曲线* m! C* u6 ?: P" S
Peeling, 退层
" T# L+ G* C0 e1 {4 ~& U2 LPercent bar graph, 百分条形图% O3 P) v, A2 t+ b" o
Percentage, 百分比
3 e( L. H$ F4 I% i0 k6 T* \6 \Percentile, 百分位数6 M" E5 F! c; U$ Y" s
Percentile curves, 百分位曲线
3 j6 E& Q7 ^5 c! D, w3 y! M% zPeriodicity, 周期性
1 S9 w" N; E' W+ w. y* aPermutation, 排列
6 k z! v) M2 }# Z# G+ NP-estimator, P估计量& ]. K# F- R7 r' |: r( u) x
Pie graph, 饼图
2 d" k! ~% i" o' c/ nPitman estimator, 皮特曼估计量
" R4 _, Z- W: YPivot, 枢轴量
" a* S7 h0 c% u& c0 i, ?( aPlanar, 平坦4 F9 T% [, f* {. p
Planar assumption, 平面的假设, w Z) `8 S* s1 t& A
PLANCARDS, 生成试验的计划卡
$ ^; r6 H7 p% HPoint estimation, 点估计$ u3 W7 Y5 Y i4 v9 V& l
Poisson distribution, 泊松分布
$ p$ y* I" I+ U- v1 l& mPolishing, 平滑
+ U9 s F/ Z4 B0 TPolled standard deviation, 合并标准差; Z3 S& [# O. e4 j6 {: q- p
Polled variance, 合并方差) A/ { [0 H' E
Polygon, 多边图
3 h; d) D2 S3 Y$ C2 c( QPolynomial, 多项式% j1 I7 u6 R5 }/ F. U9 o+ ]5 E9 C; k5 A
Polynomial curve, 多项式曲线
! l& I7 J/ W% R! CPopulation, 总体
+ [1 n h- P" W6 o* kPopulation attributable risk, 人群归因危险度: z: W% C1 J" ]- ~( o. n
Positive correlation, 正相关
5 d1 \% e1 S, q5 D, ]; H$ d9 f! lPositively skewed, 正偏* N/ D, O* N7 C7 w
Posterior distribution, 后验分布
0 P4 k4 `1 {2 `+ g7 pPower of a test, 检验效能: d4 G2 Y1 k/ i4 C% r9 J6 V) Y: l) k
Precision, 精密度
7 ~! p; o8 O0 [Predicted value, 预测值
% V" q( M; ~4 X& E. R( l4 kPreliminary analysis, 预备性分析; x5 i' g( R5 v1 W
Principal component analysis, 主成分分析( m( ]0 K9 w ?& d2 e W
Prior distribution, 先验分布% O/ I# M2 S4 u8 D2 O! _
Prior probability, 先验概率& F+ a- x; @! r0 M9 U
Probabilistic model, 概率模型5 U% y4 `7 J- D( a) {2 o9 m
probability, 概率8 [2 [$ G: c2 J! X7 m" X
Probability density, 概率密度 g* @& c1 e8 b- w" ^5 U* K6 _
Product moment, 乘积矩/协方差# L4 W* F: j0 H7 D! [
Profile trace, 截面迹图+ T0 `& l( g- `: d$ E% m
Proportion, 比/构成比" ?" Z) L* l, y0 W* G. b3 k
Proportion allocation in stratified random sampling, 按比例分层随机抽样9 h) i# s# d4 I- a7 }8 ~
Proportionate, 成比例9 i5 ^! E5 k- z
Proportionate sub-class numbers, 成比例次级组含量
) S0 n+ {$ H) @9 \* g' N! ?Prospective study, 前瞻性调查
( S- V% M/ q4 N6 Z4 ]# W1 pProximities, 亲近性 ' K3 S, T; y7 A4 M8 R! o8 }
Pseudo F test, 近似F检验* y" a B: k; S3 ~
Pseudo model, 近似模型# w" |/ C* F8 i& G
Pseudosigma, 伪标准差
" I8 ?9 {) O! j: R. Q9 @9 ^Purposive sampling, 有目的抽样
# T1 |+ b8 Q& y$ N% cQR decomposition, QR分解% H6 p0 }, E: f0 Z* D" B" r5 q
Quadratic approximation, 二次近似) T1 p- [3 M6 s1 w* F/ j
Qualitative classification, 属性分类8 g! v; b' |- Y: O; f
Qualitative method, 定性方法
5 S: G4 n2 y. B) u# ^1 ?Quantile-quantile plot, 分位数-分位数图/Q-Q图
* u4 y4 m6 S& ~' d% a; V9 `Quantitative analysis, 定量分析
* f% s4 E: c" |+ MQuartile, 四分位数
7 i1 [, ~5 {" C! @Quick Cluster, 快速聚类. a K+ |: @) ~0 O
Radix sort, 基数排序
3 H% K- b, _; T0 Y# |Random allocation, 随机化分组/ H0 A: j5 G& J& @( \
Random blocks design, 随机区组设计5 k$ `- \$ }/ [6 h
Random event, 随机事件8 s7 ^" J, k4 J: o
Randomization, 随机化9 a0 B& Y- @# G7 A& J
Range, 极差/全距
4 s q! j$ o1 K1 x. DRank correlation, 等级相关 m, {5 g* a" k/ u
Rank sum test, 秩和检验
z8 [; A- e" Z- b+ [) tRank test, 秩检验
4 j+ J5 o, ]5 H( kRanked data, 等级资料
* M+ u: I! N. y( gRate, 比率
; x6 z% N/ L, v; I. m/ l2 ~Ratio, 比例- z% n# x" n$ [
Raw data, 原始资料- b$ k0 ?4 b& o2 ~# k. `8 [' \
Raw residual, 原始残差; D! k5 z' e2 y" W8 I
Rayleigh's test, 雷氏检验8 A; i! t5 Z# H9 S/ m- x2 B& ~
Rayleigh's Z, 雷氏Z值
. m. f# B: d8 a. xReciprocal, 倒数4 ?' E5 F j+ q+ k
Reciprocal transformation, 倒数变换
, D! v6 V: X6 ]. p tRecording, 记录
2 U" {4 T0 ?( A+ ? w4 }Redescending estimators, 回降估计量
9 o2 `5 F1 j, V% U6 [9 m/ M3 jReducing dimensions, 降维
' ^1 t" g2 F1 U' |# K- k8 P6 U7 `Re-expression, 重新表达
# \( @# R5 e: N8 s5 dReference set, 标准组3 \ J5 [" a; L1 v8 Q; p
Region of acceptance, 接受域& [# G0 Y- V! u2 b6 b
Regression coefficient, 回归系数& Z: B; ]* f1 w1 v0 k. k+ a; }
Regression sum of square, 回归平方和
% |7 F# b" I# b7 L" d7 t2 S! g" mRejection point, 拒绝点
/ y. t" i" ?4 `: r/ I: ~7 _! NRelative dispersion, 相对离散度
4 _* s6 n/ V9 x- t/ RRelative number, 相对数
) _9 Q$ ?& a5 Q0 F C# y% o% m" fReliability, 可靠性
- x8 _4 U: m7 e/ u A) jReparametrization, 重新设置参数! o* h: J/ S" z# I
Replication, 重复
8 O( L+ T1 P7 W4 EReport Summaries, 报告摘要
) e/ U$ A9 C3 {) j nResidual sum of square, 剩余平方和
4 Y- ?+ ?3 `" Y2 a) f6 Q3 yResistance, 耐抗性4 p, x1 ^& H+ }* M
Resistant line, 耐抗线+ Z' y8 ]2 N: q) S* g! l/ f
Resistant technique, 耐抗技术" p; L4 ^* z2 \7 j. V
R-estimator of location, 位置R估计量5 [) U1 J5 a N* k0 q
R-estimator of scale, 尺度R估计量
- r. ]7 ]: q1 o4 Q! v6 \0 Q( ?Retrospective study, 回顾性调查4 |3 g) z8 M! v5 `# l
Ridge trace, 岭迹
3 S* [' d0 q! @Ridit analysis, Ridit分析# b9 Z: @1 E7 W F8 K' J3 y" ]0 S& _
Rotation, 旋转
9 v/ h X8 J8 M( U& d5 {Rounding, 舍入2 ~2 R: i* s* n2 D6 j8 j
Row, 行7 h% E. R2 t; S8 l
Row effects, 行效应
: f# @7 }( N/ u5 g: b+ _0 t8 U' hRow factor, 行因素! U, N! A4 ]6 j+ |) p+ N
RXC table, RXC表. G5 b# Y; U* F' T/ d8 Y0 E
Sample, 样本: @5 S# J: U: R
Sample regression coefficient, 样本回归系数* {9 M' _' l$ y) Y. @5 |* @9 [9 l
Sample size, 样本量
- E5 N, C3 M. o; A- ZSample standard deviation, 样本标准差
# M' @0 ]* z* t* @9 P: ^Sampling error, 抽样误差" `5 o3 `. v$ ?2 G8 e+ [
SAS(Statistical analysis system ), SAS统计软件包& M) ~ x+ y- D6 B+ u
Scale, 尺度/量表
9 [; w7 j4 n @2 h- m; sScatter diagram, 散点图
! G( Q* A' `% B7 O# X% ISchematic plot, 示意图/简图
9 U4 B, Q5 K1 f0 \0 H6 N+ ]* aScore test, 计分检验% ]/ n% u h; x* |# @$ A2 j
Screening, 筛检
/ Q7 _/ P/ B% }) I2 \4 P! N& L# z6 tSEASON, 季节分析 ( U* u. }/ x ?2 O5 k# H
Second derivative, 二阶导数
[$ I$ R. N, \: mSecond principal component, 第二主成分- m# t$ K2 i( G$ n* o; t) M5 A
SEM (Structural equation modeling), 结构化方程模型 4 Q. M& D# b- h6 @6 S. F: ~3 o
Semi-logarithmic graph, 半对数图" V/ Q i4 L- V& b
Semi-logarithmic paper, 半对数格纸, l0 J9 d4 m6 J& p. L6 l3 z# ^
Sensitivity curve, 敏感度曲线# y) N8 u2 \! x2 `# D" ]1 k. y
Sequential analysis, 贯序分析- w |) U6 P" j0 _
Sequential data set, 顺序数据集
' \$ K' `7 I8 i0 L8 I% GSequential design, 贯序设计
7 d: }' `; v+ A6 }9 g! u( VSequential method, 贯序法; Z7 i, Q7 `+ m- U& J4 F! J# z* k
Sequential test, 贯序检验法- V. r9 y- B6 p/ ]
Serial tests, 系列试验
3 U' r, j7 x1 X+ EShort-cut method, 简捷法 ; D( d6 N4 m, V$ V0 o
Sigmoid curve, S形曲线
. v6 K. e$ _* H* V$ v% uSign function, 正负号函数
1 b1 b3 [0 U8 {& t. B2 ESign test, 符号检验) g; ~; V s m0 x+ @& r
Signed rank, 符号秩$ l4 q+ E0 F! e& ^$ }! N, r
Significance test, 显著性检验
T/ C: Q o8 z; h8 WSignificant figure, 有效数字
4 K4 f5 ~' e' P. M) [Simple cluster sampling, 简单整群抽样
/ @# g; A3 _& b; |8 ]Simple correlation, 简单相关
9 P! S* x1 k8 F! V/ P. ?% ?Simple random sampling, 简单随机抽样7 D. ^) M9 ~+ i, Q# u8 x6 X& N
Simple regression, 简单回归 D* y- ]6 u5 U* l s- o4 G: U
simple table, 简单表7 h' T0 x* u R9 Y
Sine estimator, 正弦估计量
% R( e. y" }4 S# ESingle-valued estimate, 单值估计
6 S% v1 m; j/ Y( P& aSingular matrix, 奇异矩阵# J3 E- F( c3 ]
Skewed distribution, 偏斜分布
( Q. B& j% }1 z! k) VSkewness, 偏度
8 V4 e' V! d3 F7 lSlash distribution, 斜线分布4 c( V% {9 l4 I- D" L2 \& H" L; i
Slope, 斜率
1 J7 q+ k- l& [ VSmirnov test, 斯米尔诺夫检验/ }3 Q- d6 S3 t1 E5 F7 d5 \
Source of variation, 变异来源
( c4 n6 R1 _: B& wSpearman rank correlation, 斯皮尔曼等级相关
+ N' s- g5 l* d0 w0 o# Y0 Y, HSpecific factor, 特殊因子
/ v9 K6 h7 \4 v+ m2 Y# x' K2 BSpecific factor variance, 特殊因子方差
; p5 y2 [% ?- U1 G7 @) y" \2 nSpectra , 频谱
0 i. d5 s6 k, zSpherical distribution, 球型正态分布
5 o" |3 |; `3 n+ v7 hSpread, 展布
9 X% `/ p+ e3 J' b$ O3 s. O4 @SPSS(Statistical package for the social science), SPSS统计软件包
- v- i7 l/ ]9 i2 `/ KSpurious correlation, 假性相关8 [2 t9 W; C3 H( A; s
Square root transformation, 平方根变换
- u% u; J2 D7 h( I+ ^! T% d! J8 ]6 SStabilizing variance, 稳定方差4 X- K( A6 Y* {2 p9 k! T
Standard deviation, 标准差
" S2 }" f7 W- Y" r% z6 zStandard error, 标准误$ I# Q! x& d7 z/ [, f% T' j: N
Standard error of difference, 差别的标准误
6 L& x4 W3 B" h5 v/ Y0 T& K9 JStandard error of estimate, 标准估计误差
% b+ n' H; U: {+ XStandard error of rate, 率的标准误
6 K/ b- N. t) v$ WStandard normal distribution, 标准正态分布
! X: k3 x O- i/ QStandardization, 标准化2 f, {4 R2 f% i9 \$ e
Starting value, 起始值
h; I- O, o# l4 \; V: IStatistic, 统计量 D. I( C8 e7 C. e
Statistical control, 统计控制+ U8 ^, G0 G& s1 |3 G1 ?
Statistical graph, 统计图
' A7 Y1 G3 W" J- J. U7 G/ }0 NStatistical inference, 统计推断/ P3 ]4 [* Y5 Y/ Z, H- P: b2 ^6 p
Statistical table, 统计表
2 l" T t J+ b$ v! m) ~1 g; _5 }Steepest descent, 最速下降法# s' v5 F$ k/ t5 u3 {/ u2 [
Stem and leaf display, 茎叶图
6 y/ ~8 i) x4 s }) r% i& DStep factor, 步长因子- Y. J% h1 z0 Y8 Y+ H8 U/ k
Stepwise regression, 逐步回归
& [6 d( ?$ ~) n/ sStorage, 存, r$ K& H# H0 ~3 N* a
Strata, 层（复数）' c6 O% p1 B9 l5 S
Stratified sampling, 分层抽样0 l2 q/ U# L3 F% u$ ^9 `% d
Stratified sampling, 分层抽样9 W; m' B! t/ t' Z8 Y% ]
Strength, 强度" {) Y) I: R( f
Stringency, 严密性
% M, ^+ v' o" A% t5 v$ GStructural relationship, 结构关系' n) @+ c- B+ M4 D
Studentized residual, 学生化残差/t化残差
K1 N3 h0 B2 `6 ?: {Sub-class numbers, 次级组含量
4 ]0 |& R$ q# Z' MSubdividing, 分割
6 D: i$ i: R. WSufficient statistic, 充分统计量
9 P5 f0 B' s+ V4 s! [; hSum of products, 积和0 ~# \) m) Q$ \( u7 [
Sum of squares, 离差平方和
& g$ H9 A' m7 kSum of squares about regression, 回归平方和
$ J- R9 o- x# RSum of squares between groups, 组间平方和
M$ S2 a8 C/ a, ZSum of squares of partial regression, 偏回归平方和! t; X1 d" E5 X9 t/ }
Sure event, 必然事件3 ?8 V/ Q$ Z* j. [5 h
Survey, 调查 ?: Q! N% J' E( a# c/ q C
Survival, 生存分析$ x& u, M* ~; P: q- E4 U* l* f2 _
Survival rate, 生存率- A* d1 w) {2 Z5 f% t
Suspended root gram, 悬吊根图
& ^5 i$ O0 s! P1 l% v* y+ C0 wSymmetry, 对称
4 ^; V' V; N# G, _) SSystematic error, 系统误差5 I* n5 g z( V; x6 v6 }
Systematic sampling, 系统抽样
$ p Q+ ^- w3 S3 HTags, 标签0 [/ I8 g: J4 }
Tail area, 尾部面积
' [* \, U. \& v1 Z" H" s3 ?Tail length, 尾长
# l0 D: d5 R& y1 vTail weight, 尾重* D0 Y8 u# b$ q
Tangent line, 切线5 s% a- u# i* ~" ^ O8 i7 _
Target distribution, 目标分布1 D; e3 q; }) x
Taylor series, 泰勒级数, i9 k7 V3 V" e- b8 o
Tendency of dispersion, 离散趋势: ^$ V- b( H) I3 C
Testing of hypotheses, 假设检验
2 k$ d* }8 w1 T/ Y9 T$ aTheoretical frequency, 理论频数5 K# n" v; B5 r; A, Q. b! l
Time series, 时间序列
/ y3 R' Z- v G; c3 k* aTolerance interval, 容忍区间7 q& ~) {. W2 \! Y0 G" n! A
Tolerance lower limit, 容忍下限9 l& B) l: b7 X! i; Y. r
Tolerance upper limit, 容忍上限$ x( D) a0 ~6 `- z7 u6 v
Torsion, 扰率5 J1 H; P$ Z: Q& ]3 f4 e
Total sum of square, 总平方和: ], h/ y; o; d' J7 G( r/ p
Total variation, 总变异
( j8 |' k* {, K3 V q3 h$ STransformation, 转换# c& m9 W! r; ]7 j
Treatment, 处理! e; M3 f$ J5 M$ R2 F
Trend, 趋势" p' n: R0 O5 m g
Trend of percentage, 百分比趋势" t5 I) D3 W+ b; }8 T4 i/ }: M, U
Trial, 试验/ v1 r$ [4 K2 T
Trial and error method, 试错法/ L1 g" _, `& l8 \- F9 c
Tuning constant, 细调常数) J9 ^. C3 y& _. g# _0 v
Two sided test, 双向检验
+ L5 l0 I, L! S# ?, zTwo-stage least squares, 二阶最小平方7 e6 N; J! s$ |" G$ G! l4 M
Two-stage sampling, 二阶段抽样% i4 d5 X+ q8 e- Z7 d
Two-tailed test, 双侧检验) e- ]5 v0 j+ Q$ j/ R
Two-way analysis of variance, 双因素方差分析
- Y9 y2 D9 z: b: e4 N% ^( rTwo-way table, 双向表! y* h, V0 p/ N
Type I error, 一类错误/α错误
; @$ B$ l/ B4 ?. G S2 LType II error, 二类错误/β错误6 o- r( k/ X6 n
UMVU, 方差一致最小无偏估计简称7 B! K1 M& p6 ^6 R
Unbiased estimate, 无偏估计2 L+ S/ ~" `" z( m, g& [
Unconstrained nonlinear regression , 无约束非线性回归
' U9 w0 w! v3 s: u/ W+ xUnequal subclass number, 不等次级组含量: a/ G# M6 ~# h
Ungrouped data, 不分组资料
) [/ E" c _1 WUniform coordinate, 均匀坐标
6 U. p2 `* y) H9 |Uniform distribution, 均匀分布- M+ ^9 f8 x5 Y7 p% @5 j- k) y
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计: h$ ~* n, R9 h. {5 b$ \- X3 k
Unit, 单元
: y+ \, t3 f! q: R9 ?' bUnordered categories, 无序分类
: p/ |: O; n6 @, Z( aUpper limit, 上限! S+ q; f. J$ x6 @! x( Y4 ]0 Y6 K
Upward rank, 升秩
3 B- [2 ~* a1 j0 DVague concept, 模糊概念
% i2 T8 X; Y" w6 `' L7 [# QValidity, 有效性2 w/ I! B+ ?6 B% T. X
VARCOMP (Variance component estimation), 方差元素估计 t- S: e3 i+ z; Y) A$ I& N
Variability, 变异性
* u& T1 {6 B, z+ T7 g- w; u8 AVariable, 变量4 \8 s H/ X0 C8 y {- R+ \
Variance, 方差* P7 G9 i& M9 D U0 W7 ^
Variation, 变异0 u- }3 z) x% R$ b1 k
Varimax orthogonal rotation, 方差最大正交旋转3 D/ O* f" c* N0 m% r# d
Volume of distribution, 容积5 ]8 |0 {! d% c( Q: z
W test, W检验: O! t* Y+ m: Q* t+ U+ p5 R
Weibull distribution, 威布尔分布
. W7 v2 F; Y7 y p$ N5 SWeight, 权数
- K. C9 f. s; U- ~$ _2 i/ oWeighted Chi-square test, 加权卡方检验/Cochran检验
( |; }8 i/ m; r) U+ HWeighted linear regression method, 加权直线回归$ \. b. V, C8 @ y* w
Weighted mean, 加权平均数
+ }/ T$ M: _0 y/ eWeighted mean square, 加权平均方差/ I1 P- \" |$ [4 v+ {) v7 J& t: I, P' |
Weighted sum of square, 加权平方和
7 b: C; e& H1 l( k: o0 R! KWeighting coefficient, 权重系数
, r2 f, A. E1 A7 [5 gWeighting method, 加权法
) I$ A7 Z2 `, f- x" z" TW-estimation, W估计量
/ A' o0 ?" U* i% pW-estimation of location, 位置W估计量: [- L: m, E) v t$ A% g
Width, 宽度
2 l4 R0 S3 Z* MWilcoxon paired test, 威斯康星配对法/配对符号秩和检验
, T; v& k4 |" Z% k& t5 ~0 SWild point, 野点/狂点) e. L/ K% L7 }& u* N
Wild value, 野值/狂值
, N' F% H$ E. \, r5 cWinsorized mean, 缩尾均值0 g! e E4 i& H' x1 i
Withdraw, 失访 # C: o" {4 T" d! z, v/ D0 Y9 U4 O- W
Youden's index, 尤登指数
6 o( i' h f( D9 P% wZ test, Z检验
# K9 |5 W' \+ M. NZero correlation, 零相关" a$ ^6 V0 _8 D6 t
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
