|
|
Absolute deviation, 绝对离差
- I1 J# T) ~( @Absolute number, 绝对数
2 P4 O) u# q; a- [ RAbsolute residuals, 绝对残差
3 F+ K. {. V/ u+ W& o! K NAcceleration array, 加速度立体阵( Y# ~% p& ]1 ?. L& @
Acceleration in an arbitrary direction, 任意方向上的加速度( I" G$ M! T; `
Acceleration normal, 法向加速度# b# g3 G) Y' l5 \- n: y
Acceleration space dimension, 加速度空间的维数2 x0 x7 x4 E: ]* [5 ?- b# y* H5 P+ K
Acceleration tangential, 切向加速度
7 o. z+ n$ Z/ R- v( ^% r8 dAcceleration vector, 加速度向量
1 a# l/ F+ `/ UAcceptable hypothesis, 可接受假设
9 m( |/ t+ L" V8 m8 \: e3 n- vAccumulation, 累积1 I, F! b- l9 X
Accuracy, 准确度
* u. Z$ B1 }# f2 o2 @( ^8 n3 g. {Actual frequency, 实际频数
, Q5 X7 C+ T6 E8 h3 gAdaptive estimator, 自适应估计量/ s; X- S& B+ H
Addition, 相加
; O# d/ t8 ^& [) w7 KAddition theorem, 加法定理
. |+ m4 E. X$ K' UAdditivity, 可加性9 x/ h" t' t* I" f
Adjusted rate, 调整率
1 l* ?$ k" O1 I2 z" T- TAdjusted value, 校正值
% Z$ k0 {5 u' G: A( S2 f* }4 L! yAdmissible error, 容许误差% P' @# I2 n) b$ g
Aggregation, 聚集性5 t1 k+ Q9 r1 f/ h& V& z
Alternative hypothesis, 备择假设, e( a2 _; L8 p+ E' A
Among groups, 组间
) l1 ]9 X! T( S9 W; ]" {Amounts, 总量1 N: ]- c" a2 q; b
Analysis of correlation, 相关分析. l, D# W2 o8 ?) I
Analysis of covariance, 协方差分析
2 ` L& W- Z7 ]5 G7 A; mAnalysis of regression, 回归分析
) O; p; Y8 ^* V6 H) XAnalysis of time series, 时间序列分析6 y% i) o. j2 v# s
Analysis of variance, 方差分析* E8 T5 `. m7 Z, M. [) c
Angular transformation, 角转换
v* K2 B/ c6 C: e2 E% l* ZANOVA （analysis of variance）, 方差分析
$ c$ T4 `# I7 l; B# @! xANOVA Models, 方差分析模型 ^& T! S* ?. D0 e5 X( O' p; i+ I
Arcing, 弧/弧旋, Z: N7 B2 [+ ^
Arcsine transformation, 反正弦变换
% z. l& K E( _ `+ W. ^Area under the curve, 曲线面积
8 \6 G7 U2 d; {& v9 {2 GAREG , 评估从一个时间点到下一个时间点回归相关时的误差
4 x$ D: X5 J+ U' ?- U; CARIMA, 季节和非季节性单变量模型的极大似然估计
. [) T5 ?3 B5 y9 X! t/ m: ]Arithmetic grid paper, 算术格纸/ Y& L) ], R0 _: x6 i, D
Arithmetic mean, 算术平均数6 K) Z/ G8 @# A" A
Arrhenius relation, 艾恩尼斯关系# p* [4 y2 f o; _8 K7 u' i! v
Assessing fit, 拟合的评估
5 Z/ X1 _* j: C" D: ?Associative laws, 结合律& j0 z" J o" M. n1 {% D: y0 z
Asymmetric distribution, 非对称分布- V* S' b' L- @4 D4 T. X
Asymptotic bias, 渐近偏倚7 b+ y0 f8 A9 ~) Y" x
Asymptotic efficiency, 渐近效率
$ c- t8 t6 `+ s; RAsymptotic variance, 渐近方差 @' J" H, U `" V$ a
Attributable risk, 归因危险度8 [5 T- p# k9 \
Attribute data, 属性资料# @1 ~$ H1 y: u; O+ p9 |# a
Attribution, 属性! [4 L$ Z' v: u7 ^4 |, f8 z
Autocorrelation, 自相关( i; b0 I' p; ^5 r* [9 Q2 W: w/ a
Autocorrelation of residuals, 残差的自相关8 A/ z9 C0 F4 L% a6 C$ i u' x
Average, 平均数
( Z9 |5 I( z2 ~1 {! W o; ZAverage confidence interval length, 平均置信区间长度
+ N# G8 ^6 S p% [# D9 }Average growth rate, 平均增长率. e* ]% T7 ]+ ]! `
Bar chart, 条形图
6 _9 L% \$ k' @+ |& ^# zBar graph, 条形图
+ H2 v1 }5 M5 \% \0 R8 [- y" ABase period, 基期& }. j/ J# W9 y- B" w4 ?
Bayes' theorem , Bayes定理
, M' D- m. n5 VBell-shaped curve, 钟形曲线4 r- G, o* h% W! k1 P7 W F' S! j
Bernoulli distribution, 伯努力分布 P( Q! }# J* \+ Y6 g' x
Best-trim estimator, 最好切尾估计量9 S7 D8 m Z/ ]8 v8 x# m
Bias, 偏性/ A+ }4 U y7 a" a) T
Binary logistic regression, 二元逻辑斯蒂回归
8 j" h3 M5 z3 Y- T D+ m2 bBinomial distribution, 二项分布9 v$ ~* e* F) A
Bisquare, 双平方
" n5 K/ e$ A/ b% O `! [Bivariate Correlate, 二变量相关$ `8 T Z- R, d; i* Q) z% B# m
Bivariate normal distribution, 双变量正态分布1 B6 Q- S2 Y+ |$ Q# s: J6 R- N7 J
Bivariate normal population, 双变量正态总体
) T3 g- e3 [$ V* H( |& P H8 z' kBiweight interval, 双权区间
5 V( z6 q0 \1 s* [Biweight M-estimator, 双权M估计量
1 Q# ?3 A! |6 Q& ~Block, 区组/配伍组$ T O$ T1 r9 Y5 u3 O
BMDP(Biomedical computer programs), BMDP统计软件包
- W' G3 E5 B5 q u) G8 v4 U2 pBoxplots, 箱线图/箱尾图' I; T' B7 R. T1 m* u
Breakdown bound, 崩溃界/崩溃点7 N, m& G+ } y& O& q0 \5 K. i
Canonical correlation, 典型相关# N9 F j- _# D% x- W3 q+ h, k
Caption, 纵标目! v( F6 o# S% x. h) b. z
Case-control study, 病例对照研究
: T, u1 H: ~6 c7 F( `" {Categorical variable, 分类变量) ~! D9 _/ m# s
Catenary, 悬链线' k' A# u( w5 G) i- P
Cauchy distribution, 柯西分布3 u; `2 H# @1 `% O
Cause-and-effect relationship, 因果关系( B0 w/ }( ~6 x
Cell, 单元 D4 N8 Y8 n6 [, O* Z- e% d
Censoring, 终检
9 P& w9 `- E0 }7 D |0 ~9 _( dCenter of symmetry, 对称中心
! Z, y; _" m9 yCentering and scaling, 中心化和定标
# F5 P& |* L' B, u$ r3 ECentral tendency, 集中趋势$ h7 e" L' Z3 s. Y; m. {
Central value, 中心值
' H( `* v }8 v2 I" X6 D7 ECHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
- Z" ?: T1 H& {Chance, 机遇6 S+ J4 K" T* X0 a& A( _
Chance error, 随机误差
/ t' K& ^# p4 ]9 i( PChance variable, 随机变量 o' t; o* k/ D) d' U! [% Q
Characteristic equation, 特征方程
, }4 n1 _9 X; m! f$ n9 C: |! L+ JCharacteristic root, 特征根) t* X! Q$ k1 E+ L' `7 L2 `
Characteristic vector, 特征向量
( U0 p& g% g& T0 |" g, {Chebshev criterion of fit, 拟合的切比雪夫准则+ a, [$ R! l0 p5 C3 x) F
Chernoff faces, 切尔诺夫脸谱图 q0 z! V. c' W; C' [3 n
Chi-square test, 卡方检验/χ2检验+ H$ ?- R) t; a* i d* ^( _
Choleskey decomposition, 乔洛斯基分解
* E' v' ^$ J& t8 I7 ^" XCircle chart, 圆图 - I9 n# Z! B$ b* `2 ^/ ]$ F6 E" ~
Class interval, 组距! d! s% @/ e2 O( r U
Class mid-value, 组中值; b: C3 x& |4 C* O" a
Class upper limit, 组上限
/ N/ @# v9 O( ?2 L7 G) v( V! R7 MClassified variable, 分类变量" I! J- s! U4 e9 _& s
Cluster analysis, 聚类分析% W) }& s. M2 F7 b% n
Cluster sampling, 整群抽样
( [; p) [7 a$ ]% M3 I, A( @, rCode, 代码' r/ ?' {, u" a: @ t8 t, W
Coded data, 编码数据
2 Z5 S; l3 c) ^Coding, 编码) F* f2 k) K+ J% K8 o! C4 f
Coefficient of contingency, 列联系数
$ |; j m" h: |7 f2 z( MCoefficient of determination, 决定系数
6 |! \4 r9 Z( XCoefficient of multiple correlation, 多重相关系数
9 b" }: w1 C+ K; eCoefficient of partial correlation, 偏相关系数
! c+ x) _1 d/ U. MCoefficient of production-moment correlation, 积差相关系数9 G/ X. \# d/ h1 C
Coefficient of rank correlation, 等级相关系数1 t" m' k, @" M, Y9 d9 @
Coefficient of regression, 回归系数! t3 e6 T5 O% f1 P' X' T
Coefficient of skewness, 偏度系数
) ~, A+ d7 E0 Y+ O$ S; UCoefficient of variation, 变异系数
0 W/ |9 v. ~7 }9 c2 p# @/ R6 CCohort study, 队列研究
5 T: J9 x _1 dColumn, 列
/ I. v" n J) W, i: Q sColumn effect, 列效应9 v$ t8 g7 V( y: H/ E0 w
Column factor, 列因素4 }& Q! B" k$ ~0 R
Combination pool, 合并( c' m% S( Y* M- n0 q2 t8 G5 i
Combinative table, 组合表: t; X, |, D$ H( R+ M& `
Common factor, 共性因子! D# ]( S. S3 t& u6 {3 h4 o: P1 X
Common regression coefficient, 公共回归系数" ^/ I- O( q# |0 I- k" e* W" X7 e2 `
Common value, 共同值
9 s4 B# w* g8 d/ X4 iCommon variance, 公共方差
/ t1 P4 w$ r5 B( l8 M1 | r- UCommon variation, 公共变异* W1 [& r2 q* U, u, |
Communality variance, 共性方差; l, B; X! R% X1 o5 [) e- D; r
Comparability, 可比性$ l% M' `' F! `, k' O2 z/ h) m
Comparison of bathes, 批比较
2 b5 h0 T+ x' F8 l8 H) dComparison value, 比较值
. P& z! r* O2 d9 x7 UCompartment model, 分部模型; u2 \2 ]$ C4 I+ f# c2 l3 U
Compassion, 伸缩
f) F! _3 k. t a6 Y- CComplement of an event, 补事件
5 H' X l0 C' t- f( A' jComplete association, 完全正相关
" m5 i* L5 }5 f5 uComplete dissociation, 完全不相关" [" Y" i3 o. \, h( o
Complete statistics, 完备统计量
+ z' g. C* S( @( c7 SCompletely randomized design, 完全随机化设计
) d }. t9 i$ l- \7 \% z. mComposite event, 联合事件# k' G' }7 l& D
Composite events, 复合事件
8 B& z' L/ H% ^0 d+ G: mConcavity, 凹性
1 L; f& O9 S7 ^+ F/ ]6 E: QConditional expectation, 条件期望
$ n/ @. i) \, m, w/ f) IConditional likelihood, 条件似然* D% P% f* k( g% f. g( e6 q/ D
Conditional probability, 条件概率9 i. y# \6 [! c( R$ Z6 g' {
Conditionally linear, 依条件线性+ p$ l2 f% V: {5 t8 h- s: \
Confidence interval, 置信区间2 _% E: G, @! k9 A, }
Confidence limit, 置信限3 z; T) Y# D& L5 j* ^
Confidence lower limit, 置信下限2 `3 y* V- P3 L, H3 ^8 o+ _1 a, K
Confidence upper limit, 置信上限
/ D' t; K% |2 q$ A" q* C; |Confirmatory Factor Analysis , 验证性因子分析" ~' j, `* Y- J& `9 i! R4 |, p% G& A
Confirmatory research, 证实性实验研究
( n) y( s7 N# ]2 jConfounding factor, 混杂因素
) c) k3 I5 G- f+ ]$ j' PConjoint, 联合分析
& k& p/ _ w/ B% x6 s4 j8 p. _Consistency, 相合性9 `9 a# ?6 I8 ~" L+ v& ?
Consistency check, 一致性检验9 Q/ X0 z+ H+ q( A" T3 U
Consistent asymptotically normal estimate, 相合渐近正态估计* ^9 Y- W0 R2 U+ Y" v
Consistent estimate, 相合估计# B: |! `6 b" }7 D) w% ]4 b& E
Constrained nonlinear regression, 受约束非线性回归8 g. _3 T% c2 y# b
Constraint, 约束9 O9 @& f5 |# q, {
Contaminated distribution, 污染分布
8 d/ g0 N d; \* \0 g6 AContaminated Gausssian, 污染高斯分布) Z) B' t4 B4 L
Contaminated normal distribution, 污染正态分布
6 H2 R0 ?/ d+ z" ]Contamination, 污染; v. t/ A. f' l' n
Contamination model, 污染模型
) H; `! ?2 K) XContingency table, 列联表2 [" [5 z$ K' t' R. X, O8 T
Contour, 边界线, I5 b; U [. N- b# i9 {4 |1 T
Contribution rate, 贡献率9 x @' q! _% b5 X, g3 d
Control, 对照
, K# _/ g( A' \' mControlled experiments, 对照实验 G% w$ O; u! a7 {
Conventional depth, 常规深度
2 d$ w- E1 y+ V( O8 ~/ {Convolution, 卷积
* B& `$ }' y, C9 F8 ECorrected factor, 校正因子/ Z3 C( T. ?# R% i
Corrected mean, 校正均值' R) y# N p$ Z, h
Correction coefficient, 校正系数2 p- {! m5 c* L. e& `5 f0 o/ r: j$ |
Correctness, 正确性, q/ n( w4 `8 Q3 o% A5 a
Correlation coefficient, 相关系数
& P8 H% u j# nCorrelation index, 相关指数! B/ y7 Y Q# r/ d" s$ f9 g. r
Correspondence, 对应
4 k' e: r7 H1 e: U" ^- I% u6 vCounting, 计数# _5 i4 I0 x# [
Counts, 计数/频数
, j6 q% N. `$ |' |0 l8 kCovariance, 协方差) w( h( h3 y5 y- v: c' |
Covariant, 共变 2 x5 }( [, Z9 L+ E- e
Cox Regression, Cox回归
! @ s2 j, {, f( Z$ V" DCriteria for fitting, 拟合准则0 @. g# t% {; c4 j( z, }, Z2 i
Criteria of least squares, 最小二乘准则
U8 T9 x4 d- W) L1 n6 E. @( E. HCritical ratio, 临界比
1 e9 s+ L7 T. c& m) [Critical region, 拒绝域, I ?) P5 j% w0 @2 |6 z% y, G/ k9 d
Critical value, 临界值2 M2 W0 g9 `4 |1 I, K2 ` B# A9 f# t
Cross-over design, 交叉设计
! {6 S7 _; _/ P7 uCross-section analysis, 横断面分析* ]/ ?% x. H0 H, B# \, Z6 W3 l* k
Cross-section survey, 横断面调查6 M& _5 @1 ?6 f1 h
Crosstabs , 交叉表
- L2 c' C; y8 R3 yCross-tabulation table, 复合表
% I4 p( m6 P. [. ?" c0 |Cube root, 立方根
9 u! K# k5 I" J0 w# V1 MCumulative distribution function, 分布函数5 X. q N& B' z
Cumulative probability, 累计概率
; ], L3 |7 J3 h _- E: n8 _Curvature, 曲率/弯曲
2 K7 D. ~) f3 \( ~7 w! k3 VCurvature, 曲率* E# A4 U$ s9 Y# z- r
Curve fit , 曲线拟和
. [) N |* D" |/ ]* `Curve fitting, 曲线拟合0 Y* w4 K+ h) d4 l6 L( D6 x. T
Curvilinear regression, 曲线回归
8 z3 S2 K# K5 H; tCurvilinear relation, 曲线关系! o) |3 m: ^9 \" s( u) x
Cut-and-try method, 尝试法* S9 d7 j* z" l4 \2 a" C5 h
Cycle, 周期" g0 f) ^/ A, K
Cyclist, 周期性; j' K9 y( p; N; n" A
D test, D检验
1 Q( i5 K, X7 V0 E" \% `$ S3 qData acquisition, 资料收集
6 Z/ A9 _3 k) pData bank, 数据库+ S: X( T8 j3 c7 [& h1 y) f+ ~% ~
Data capacity, 数据容量! g& k+ u2 i0 ^
Data deficiencies, 数据缺乏6 y" ?- ~/ l" L L9 [
Data handling, 数据处理6 u- |- @& N3 Q0 c
Data manipulation, 数据处理# o8 g% [7 N1 o) }: |- p
Data processing, 数据处理
3 N) j) C q% \Data reduction, 数据缩减) H! F4 X/ _& K, l8 }9 {4 T' O
Data set, 数据集! j/ ]% P- q! o2 _- u0 U( `
Data sources, 数据来源/ q8 c+ G5 u* j" r' u* y
Data transformation, 数据变换
( ]: t% v( [* g7 V# @3 w- ^7 hData validity, 数据有效性4 K3 C0 J/ Z" n k$ X, Y, |8 U
Data-in, 数据输入
) l" m; W' F1 d. D: g% E0 C& YData-out, 数据输出! X5 `0 B) x- N# q' y# x
Dead time, 停滞期
8 t4 u6 _ v# j. Y4 f9 pDegree of freedom, 自由度
- r' [9 ~. N" p. P* z& {Degree of precision, 精密度
* r$ l* m$ A% ]+ d; y; s4 VDegree of reliability, 可靠性程度
4 x$ i& p! w2 o1 j; v, p# jDegression, 递减
' ?: f( E }1 _. I" P9 n5 _Density function, 密度函数
7 R9 _/ M! D4 V/ F: u# u6 WDensity of data points, 数据点的密度5 M+ }7 i4 f. `# ~2 T8 ?
Dependent variable, 应变量/依变量/因变量
6 i: F2 D* N' J" I+ lDependent variable, 因变量# [ P# D, W4 W8 d/ f+ {: W
Depth, 深度. |7 F- b& R9 f, G5 T$ t
Derivative matrix, 导数矩阵: j. }& T) Y8 e9 w
Derivative-free methods, 无导数方法
8 Z/ E% y4 f! k* X H0 ]' KDesign, 设计4 _7 C6 ]# E- X! V
Determinacy, 确定性
e N0 ^# r- p5 t! jDeterminant, 行列式0 D* T: W' R2 Y- J
Determinant, 决定因素$ j* @( i3 I4 s) H9 Z+ }
Deviation, 离差, t7 q& h! W% c& I+ V
Deviation from average, 离均差
. [# j$ n3 P5 }- w$ K- lDiagnostic plot, 诊断图
- ^! J/ G! ?4 a/ b& pDichotomous variable, 二分变量& u/ n1 S" ~2 N, E8 }0 w5 ~8 X
Differential equation, 微分方程- V. ~0 V; D2 ^+ F) c
Direct standardization, 直接标准化法
$ p( s( V, ]" n. I$ `; P7 Z/ zDiscrete variable, 离散型变量
8 \, O+ E( d; S! z$ RDISCRIMINANT, 判断 ! R3 a& f- {$ j7 e
Discriminant analysis, 判别分析
! o$ f6 \3 h7 E) @4 w3 K0 [+ @Discriminant coefficient, 判别系数
% v5 n) d2 G' a, FDiscriminant function, 判别值
' }/ G1 G& G; b* b; V2 j; RDispersion, 散布/分散度) G/ {( V; ]; h$ ]1 c
Disproportional, 不成比例的
. o8 q% ~) @9 dDisproportionate sub-class numbers, 不成比例次级组含量
1 L$ Y5 y' b& X" g h. Y2 b; wDistribution free, 分布无关性/免分布
; Y# X3 _" O7 Z- h; pDistribution shape, 分布形状! {' w& ]7 i! X0 H [6 `" `
Distribution-free method, 任意分布法
@/ c9 E. K+ K1 ~2 G0 i* @* oDistributive laws, 分配律
3 {" Y# O# I* |% d' C6 g9 l( tDisturbance, 随机扰动项
7 {; R; E7 n- u/ WDose response curve, 剂量反应曲线" X% S& ?9 ]3 ^5 _" W
Double blind method, 双盲法
+ Y( S: n& Y; c9 p& R- ^9 z6 fDouble blind trial, 双盲试验
( t' z! D k3 v( i* W1 ADouble exponential distribution, 双指数分布9 h1 z5 W5 k, G( _- u; S
Double logarithmic, 双对数
! q! L9 i. k- `, l/ V' HDownward rank, 降秩
! {% f f2 n* X( W) E4 e# [ ` {Dual-space plot, 对偶空间图
& U6 ^; Y+ ^. n3 YDUD, 无导数方法
" W8 ~% W+ l/ c) C8 h5 vDuncan's new multiple range method, 新复极差法/Duncan新法
6 A4 o1 G2 ?0 P8 n- _ aEffect, 实验效应; ~9 ~' n# X; K' t& B$ I
Eigenvalue, 特征值
$ [6 U2 ]+ G2 m# H9 I" CEigenvector, 特征向量/ e0 w* |# ^% ^2 t2 |9 I' j
Ellipse, 椭圆( D+ }' V2 X8 R
Empirical distribution, 经验分布$ U1 x. h( \5 S. Y! h7 `
Empirical probability, 经验概率单位
% n" q) r" g- \0 @8 a4 x% C+ WEnumeration data, 计数资料& i8 S5 T6 B+ ]
Equal sun-class number, 相等次级组含量. X% |2 o, |& t6 ~, a
Equally likely, 等可能
. E. C5 i6 I9 L) kEquivariance, 同变性
- o9 i F; m# h# r1 z fError, 误差/错误
( l- c7 S! @! F) t& Q# BError of estimate, 估计误差
! o" ^) S5 G. S( \Error type I, 第一类错误
6 H+ n+ {0 o- B2 O7 U5 S6 ~+ DError type II, 第二类错误6 Y$ n' ^' f! {: D; ?$ i# M: G0 f
Estimand, 被估量, k( p7 T7 o; C( _$ P( [
Estimated error mean squares, 估计误差均方5 S4 Q. C$ P' u% q* p8 @. s
Estimated error sum of squares, 估计误差平方和
$ J. O+ S1 n! S- Q2 ~: k* @Euclidean distance, 欧式距离1 f" a/ }/ ?( I& \# N
Event, 事件
( Q: l7 L: i: i2 r H, jEvent, 事件
. |2 h8 [9 [; D7 i* l/ Q: UExceptional data point, 异常数据点
7 J) @" Z2 C* g- L' SExpectation plane, 期望平面3 P- ?% \7 V" _, ]$ Q3 [/ k6 F5 Q& {
Expectation surface, 期望曲面1 g5 I. V8 s! E0 k" K% S
Expected values, 期望值
0 S7 M5 {) _2 x0 V! O$ OExperiment, 实验
7 s; I4 ^! z& u# LExperimental sampling, 试验抽样$ r6 D) _ S: H
Experimental unit, 试验单位/ c, W/ H7 \3 M& m4 A5 h% {& u
Explanatory variable, 说明变量
" K8 q2 B& i! b& b2 D; IExploratory data analysis, 探索性数据分析, o' ^5 L* B1 B) {. w
Explore Summarize, 探索-摘要
) s% {" x4 z" l" r% OExponential curve, 指数曲线
( K; V2 h4 v: E5 pExponential growth, 指数式增长
! } U/ L0 L; a, t* aEXSMOOTH, 指数平滑方法 1 Z+ B1 X% V/ {9 w
Extended fit, 扩充拟合9 g% P" z; Z& T2 e7 l, h
Extra parameter, 附加参数7 N$ D5 \7 ~3 C" M. c
Extrapolation, 外推法! W& T' G6 p4 G. }
Extreme observation, 末端观测值
0 q! C, m l6 {Extremes, 极端值/极值
$ r* `! p" H( w3 z& D- ]F distribution, F分布* V4 y' v* B- f- r
F test, F检验
6 U0 r) u9 _7 m* ~. X ~; GFactor, 因素/因子
* X" [2 M: c7 [& {1 h5 \Factor analysis, 因子分析
/ M4 `2 R' S& g4 ^% t# e5 TFactor Analysis, 因子分析
! G1 ]* r `5 VFactor score, 因子得分 & U. a8 J2 P/ k, X( M! a+ N3 A
Factorial, 阶乘& u! E$ a2 M' N
Factorial design, 析因试验设计; P, p8 H& }+ g C" l
False negative, 假阴性 \% D4 ]$ q+ P' J1 w- _
False negative error, 假阴性错误
) v- H1 ~6 G6 G; E8 \: aFamily of distributions, 分布族
M5 r! e9 [0 M" Z* g' U$ Y( XFamily of estimators, 估计量族
# i( @$ l0 P; Y" n5 _Fanning, 扇面
' p( s+ b, ?8 v* |$ ]3 H) IFatality rate, 病死率7 V; m6 w% i0 k! s
Field investigation, 现场调查# Z. v& ?' j( a( c& H. z
Field survey, 现场调查* U& Q& Y4 E. X2 X3 s
Finite population, 有限总体 {5 O( S. R* P: ~4 E
Finite-sample, 有限样本
( h+ J Y3 U5 a! O) C" J0 iFirst derivative, 一阶导数2 e6 c! r* e! B# X3 A- l
First principal component, 第一主成分7 m( _6 g) y9 X% `' j4 {
First quartile, 第一四分位数% H. V6 b0 m% C6 X
Fisher information, 费雪信息量
* b+ e( D9 ^* ^9 D. ]Fitted value, 拟合值
$ l$ i$ i# b2 ]' b9 y/ aFitting a curve, 曲线拟合+ U2 M: H3 i) w" x% n
Fixed base, 定基6 e. m: e% @+ t! S5 v+ {
Fluctuation, 随机起伏* C2 C( o( Y6 T; ?0 o8 ?( Q
Forecast, 预测
# V5 H9 A3 T; k1 N! OFour fold table, 四格表* [9 O5 P2 ~9 M( R( b' S* o! s
Fourth, 四分点
6 l. g& K0 Q" J" W9 R0 PFraction blow, 左侧比率
6 Q. r, P, f* b8 pFractional error, 相对误差* V% ^$ ^# P3 ~$ ]
Frequency, 频率
# g7 s: e6 w( d( N2 }+ V/ ^8 XFrequency polygon, 频数多边图! r2 T4 e' o0 f0 f/ q$ ?" f9 v
Frontier point, 界限点# G6 Q% j* J; x( \
Function relationship, 泛函关系
8 d0 z5 _0 j% b/ P N) c } GGamma distribution, 伽玛分布
5 p) {. |- U4 K) N. h8 {Gauss increment, 高斯增量
! o, ?" Q5 S$ I( dGaussian distribution, 高斯分布/正态分布
" v4 K: M. r5 G! T% `1 V; i. bGauss-Newton increment, 高斯-牛顿增量
4 n# {0 x- A( k$ H0 EGeneral census, 全面普查
5 @/ Y- N5 f$ C. _GENLOG (Generalized liner models), 广义线性模型
$ u: ~9 c ^" TGeometric mean, 几何平均数2 O0 |7 s: o! f1 `$ h
Gini's mean difference, 基尼均差, j% `( @' y& @/ v
GLM (General liner models), 一般线性模型
' B: X, b, k: }Goodness of fit, 拟和优度/配合度- g% E' Z, {# _& ^$ Q
Gradient of determinant, 行列式的梯度+ d5 L% |0 r& d' m( W2 e1 V+ J6 m8 J
Graeco-Latin square, 希腊拉丁方' W1 [" L0 I- U
Grand mean, 总均值( O$ Q7 ?$ K0 A3 h( O: `) P( [# i
Gross errors, 重大错误; x9 O% i! A: u. s3 f% f
Gross-error sensitivity, 大错敏感度% }. m9 `: T5 J: S$ @" l, u( r
Group averages, 分组平均
5 P7 h* q9 j( N2 Y/ _Grouped data, 分组资料! a$ \! ^7 b) q& ~. u
Guessed mean, 假定平均数* B- V' `) W* A/ r; |" @
Half-life, 半衰期
. D0 T7 ]1 b, E$ B. UHampel M-estimators, 汉佩尔M估计量
0 z' Y' @+ b- x" p$ NHappenstance, 偶然事件5 \" C+ y1 |5 U" s) L; Y: Y- t
Harmonic mean, 调和均数
% ?% |, _, _& T) T; eHazard function, 风险均数9 P/ L% w4 c* r+ c$ \6 c3 F* H
Hazard rate, 风险率
: h( N# J6 z2 K6 O0 w3 t, bHeading, 标目 ' a; N" h; D: e& L, c$ w
Heavy-tailed distribution, 重尾分布
: C4 Q6 f& _7 _1 yHessian array, 海森立体阵
# g) Y5 X' h; H1 b6 _Heterogeneity, 不同质
' w* Z$ d" x' c8 D, J. k7 i( ~( mHeterogeneity of variance, 方差不齐 9 Y+ A- o% L. |- Q \. l# z
Hierarchical classification, 组内分组
* n: ]8 y, ~) GHierarchical clustering method, 系统聚类法
7 o5 B4 D9 z9 ?8 ?( z7 fHigh-leverage point, 高杠杆率点
4 K/ a3 ]. X0 ?2 W E3 i- cHILOGLINEAR, 多维列联表的层次对数线性模型
- g2 o& p% [% x# _$ V' B& Y$ YHinge, 折叶点
% q/ b5 k- Z, T R" P. D3 OHistogram, 直方图
6 O9 l1 t7 X7 X* X$ Q( SHistorical cohort study, 历史性队列研究 0 A3 p( Q% n6 Z4 ?, K$ u
Holes, 空洞
+ l" P) `2 M+ ^" w) j, qHOMALS, 多重响应分析+ w! e: ]2 M! H; }' Y0 |& P
Homogeneity of variance, 方差齐性
, Q2 J1 T& y$ x: xHomogeneity test, 齐性检验1 d+ Z& Y/ _! e0 {. i( X
Huber M-estimators, 休伯M估计量 N" x% I2 |. v% D
Hyperbola, 双曲线
) R" n [: O+ C$ Z5 rHypothesis testing, 假设检验
' \- K- K+ Y# f) o5 ~6 [Hypothetical universe, 假设总体
! a. \2 d! r( f: ?# K5 I5 _Impossible event, 不可能事件6 ^( V) G, A% \* x& J. m5 U
Independence, 独立性
' ], _1 J1 v) k7 z- @3 W7 xIndependent variable, 自变量7 ~0 D5 S2 F2 S! G7 k# ?; t7 D" F
Index, 指标/指数% t7 V- O0 \5 ^0 s/ A
Indirect standardization, 间接标准化法. j4 ~8 q" e @0 G! l5 F
Individual, 个体+ d5 x( j$ L) l) Y
Inference band, 推断带0 W/ J8 w$ m9 ~. U
Infinite population, 无限总体3 I6 v d M8 y* k8 m
Infinitely great, 无穷大 [: Z* G8 X1 w4 [, G3 l1 Z
Infinitely small, 无穷小
' i& U+ |+ E. N$ C4 e gInfluence curve, 影响曲线
1 l' Q* H- v% F! }$ S8 E. B/ O7 QInformation capacity, 信息容量
6 ~' [% S* |) t, f) C0 @Initial condition, 初始条件
2 j( o2 S3 L+ q) M, l: ~( `; _Initial estimate, 初始估计值( _' }& F# \% X) D# j" [
Initial level, 最初水平" ~4 a& E. `5 g M
Interaction, 交互作用* H- l$ D0 E X2 |
Interaction terms, 交互作用项
& O( W J$ W5 r+ \4 I$ HIntercept, 截距
. o/ m/ T# ]2 [" U' E7 p' jInterpolation, 内插法
8 y2 G. g$ M# u8 Q+ p# M, KInterquartile range, 四分位距
( }& L9 v( j5 i; c/ _ M% vInterval estimation, 区间估计
- }/ m+ B& U5 xIntervals of equal probability, 等概率区间6 D0 @+ B: G) g8 _
Intrinsic curvature, 固有曲率" `( }; G2 p' Q
Invariance, 不变性7 Y7 C6 D+ i7 S+ ` S* H
Inverse matrix, 逆矩阵" i0 G4 m; y+ \% w* i T
Inverse probability, 逆概率
( m8 i& l' m' s6 a$ U2 J% kInverse sine transformation, 反正弦变换7 e; d9 I% w6 ]0 {! r, r8 n# [0 p
Iteration, 迭代
* S7 d6 t: k6 W8 mJacobian determinant, 雅可比行列式
1 k% g- n) I: T* Y4 D; f& g6 f8 CJoint distribution function, 分布函数
, P* G& u6 p1 S. k- tJoint probability, 联合概率. B2 C( N* A0 g) _# ]
Joint probability distribution, 联合概率分布# x+ V* }3 {9 e% `
K means method, 逐步聚类法
( A2 T+ |: ]7 @7 r& d# nKaplan-Meier, 评估事件的时间长度
3 M) D& [; i7 h7 j* K2 g" OKaplan-Merier chart, Kaplan-Merier图9 F; o$ s7 I; [% G7 l3 U, K1 u
Kendall's rank correlation, Kendall等级相关
( {6 B- ^; d. d7 T+ E" B0 yKinetic, 动力学2 m5 a6 P- w1 o* [3 I! `
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验' ]) b6 O0 x" h- ?
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
# t7 y6 l7 e) t0 ?Kurtosis, 峰度
( ?2 F; B* R+ b( G" ULack of fit, 失拟
/ x! K( d# u2 w3 A1 H: @Ladder of powers, 幂阶梯
7 V- R- @. b: }% T: bLag, 滞后, y9 i- }! o; o& C6 ?7 L# N$ V
Large sample, 大样本7 S# {( C. t- ~& S8 Z$ M* }
Large sample test, 大样本检验
; T# S T6 O' b# DLatin square, 拉丁方
; R) n) T& _: g4 h( lLatin square design, 拉丁方设计
+ H, n" @0 C$ c8 N, T# OLeakage, 泄漏" B! y5 ^7 @/ V0 M* r
Least favorable configuration, 最不利构形1 l# l2 ]3 g- }) @
Least favorable distribution, 最不利分布5 ^- @8 b8 e) e2 ], P- I
Least significant difference, 最小显著差法
; K& `) t: y3 h4 U5 D) xLeast square method, 最小二乘法
' C: P8 T6 |5 CLeast-absolute-residuals estimates, 最小绝对残差估计; Q; X4 C' }; X) h# ~% G, T9 a3 ~
Least-absolute-residuals fit, 最小绝对残差拟合
, v, O- G' B+ S# J }Least-absolute-residuals line, 最小绝对残差线8 x, P* o1 o& X1 s
Legend, 图例; ]% u6 M+ H& K
L-estimator, L估计量
/ c- u. k3 I2 M1 H5 |3 f6 PL-estimator of location, 位置L估计量
2 ~, W" E$ w, m! TL-estimator of scale, 尺度L估计量; ^$ [* B) B( j! x; R
Level, 水平' Q5 o' k8 ]9 A, S. g' M. m! c
Life expectance, 预期期望寿命" q5 B( Z( Y$ |7 _, T
Life table, 寿命表
5 v M( N+ ^/ t3 B8 aLife table method, 生命表法
5 }8 X; h$ s9 o5 p6 ^* _Light-tailed distribution, 轻尾分布: W6 t! F7 {: e5 L- f! u0 M
Likelihood function, 似然函数
3 n9 t: Z! K: o: L; XLikelihood ratio, 似然比; G& M7 f, H: ]8 a+ w
line graph, 线图% Q" F/ a& r. K# k( D1 v$ c. r m
Linear correlation, 直线相关+ ^# k5 J1 d, O' D6 C
Linear equation, 线性方程
! G1 L$ p2 E8 ^Linear programming, 线性规划
; G" f" Q F( c1 O8 c! lLinear regression, 直线回归5 H5 h4 k5 @! I2 h, E
Linear Regression, 线性回归
6 u7 a; C" Y8 p$ {; G% SLinear trend, 线性趋势
# }" _0 {/ x5 ^Loading, 载荷
+ L( B1 Q; e. {# @" h1 L7 K* ZLocation and scale equivariance, 位置尺度同变性. z! N5 R" i& n& L/ Z6 V
Location equivariance, 位置同变性
. a5 A, \9 W1 E/ d. s! @Location invariance, 位置不变性
. i% @, A0 J( v# g. s% U& r7 k6 wLocation scale family, 位置尺度族
; H. z) Y) H9 fLog rank test, 时序检验 ' W D+ j4 `7 ^7 G$ ~' l
Logarithmic curve, 对数曲线6 o# j. ?5 J- j/ s8 k7 r; k4 r3 X! ]
Logarithmic normal distribution, 对数正态分布
3 D: Z0 z) @1 ^7 g6 o6 {Logarithmic scale, 对数尺度
% j. L4 u8 v3 e; ^/ @" B7 J: tLogarithmic transformation, 对数变换, o: K4 h3 e" j1 R9 L$ f# c
Logic check, 逻辑检查. n8 @3 {4 D7 u1 o a8 K
Logistic distribution, 逻辑斯特分布
3 E3 D# A4 l$ J; g! dLogit transformation, Logit转换
% @" Y: y+ p0 G0 zLOGLINEAR, 多维列联表通用模型 , s$ ^+ ]9 i! U8 K
Lognormal distribution, 对数正态分布8 @. G9 K' p3 b- p g) f4 ]
Lost function, 损失函数
. @" C; A7 g0 Q9 M2 ALow correlation, 低度相关
6 e- v4 v) o" h9 Z: v. B `Lower limit, 下限% K0 y& o& T- J; g" r
Lowest-attained variance, 最小可达方差
+ J/ U8 @. w" O. M0 G0 ? P+ S: D( GLSD, 最小显著差法的简称, A9 n6 l( z; _. Q2 C: ?: s9 Q7 @
Lurking variable, 潜在变量2 A& F' n# I& M& L4 u
Main effect, 主效应1 d4 L, z4 H" W5 y1 ~1 F% z0 d
Major heading, 主辞标目
5 w% h* Z- t0 [! ^) \3 bMarginal density function, 边缘密度函数
5 y0 v h. h! a) o2 aMarginal probability, 边缘概率
2 o5 M/ ^+ P1 s/ l1 OMarginal probability distribution, 边缘概率分布
4 X. r$ y, X* i/ D7 A3 ]Matched data, 配对资料7 K4 B* s- Z# }6 B
Matched distribution, 匹配过分布
) V" F$ E5 }( m: qMatching of distribution, 分布的匹配$ H+ X6 C$ R9 ~
Matching of transformation, 变换的匹配+ W9 u! F3 R8 M1 ` u
Mathematical expectation, 数学期望
) B: d: B& U ~& s" u: pMathematical model, 数学模型% G+ U& }6 t# s; r7 z+ u
Maximum L-estimator, 极大极小L 估计量2 x6 A7 S# i- ^: P' M' f, x
Maximum likelihood method, 最大似然法3 z1 i4 Z: E! n5 H! b7 D5 h
Mean, 均数
) u0 m' S& q* v- ~9 n; r1 V2 C% BMean squares between groups, 组间均方- }6 i# A( ?; f: I8 h$ @1 ^/ {
Mean squares within group, 组内均方$ ~! S: i8 X0 t8 d: h& g
Means (Compare means), 均值-均值比较
7 F1 U8 I- r1 z" e E1 H" X! O$ nMedian, 中位数
# `4 i5 Z: k9 S- N2 H% XMedian effective dose, 半数效量
0 O: q3 e$ z c4 nMedian lethal dose, 半数致死量4 G) p0 i6 l' `
Median polish, 中位数平滑
" Q3 W# x* q" \3 ~- _6 P$ f" P ~6 RMedian test, 中位数检验2 l+ y) x4 w U1 K* P
Minimal sufficient statistic, 最小充分统计量
/ q. K; f/ d+ vMinimum distance estimation, 最小距离估计
5 U }: k9 y p6 x G8 j `Minimum effective dose, 最小有效量# C) O- N( T8 t- `5 W4 v
Minimum lethal dose, 最小致死量, g; j; {1 M0 g& A, H' H
Minimum variance estimator, 最小方差估计量
6 S7 m; f$ V( {& ?/ aMINITAB, 统计软件包4 X) L9 u" k9 ?6 L+ X
Minor heading, 宾词标目) m. E7 J; j! O# w4 V3 x
Missing data, 缺失值
/ ]0 {: V/ \- x% p# mModel specification, 模型的确定5 x. }2 O" M4 v1 E: w6 o
Modeling Statistics , 模型统计
( _% J/ c$ @. `" Q$ \4 O6 P" t9 _Models for outliers, 离群值模型9 y; d9 q2 N% n; e. Z, W) f' q
Modifying the model, 模型的修正
9 m5 d, w5 y9 s$ J \. p2 w* |Modulus of continuity, 连续性模
: C3 J0 d7 |8 x. V0 IMorbidity, 发病率 3 o( H; R/ C) Y0 q
Most favorable configuration, 最有利构形
! j/ A! q7 M6 R; v3 _2 VMultidimensional Scaling (ASCAL), 多维尺度/多维标度
* Q) q9 y+ k- W l$ U) q' f x7 x; XMultinomial Logistic Regression , 多项逻辑斯蒂回归. { R* Q! M1 W- @2 }9 P. p! m. X
Multiple comparison, 多重比较! L7 V% }: L) V: \# @
Multiple correlation , 复相关! C' m; |7 D6 m. X3 o* Y! J# k+ e
Multiple covariance, 多元协方差 d0 n$ \" D* I! M, k3 A3 S# J
Multiple linear regression, 多元线性回归3 o+ s1 m3 A3 b' |7 E3 M9 Y r
Multiple response , 多重选项
& G) E( J# X8 b( }5 RMultiple solutions, 多解
# ~# M; {+ C& \# ]2 [Multiplication theorem, 乘法定理6 X" x6 S$ S# v" |
Multiresponse, 多元响应
7 f+ i& v# ]# z: @: jMulti-stage sampling, 多阶段抽样
. e( ]/ p! X+ |6 J: w2 D5 g5 tMultivariate T distribution, 多元T分布 I# K; O" S6 I, N6 z' H" ~% ^
Mutual exclusive, 互不相容
7 i0 n: |1 `2 D; s6 P. B$ F- qMutual independence, 互相独立0 t( B$ [! a9 r9 `" O. q
Natural boundary, 自然边界$ p" m) _0 U2 n3 y+ J, A
Natural dead, 自然死亡. Y; L; b# u# P) M6 ?
Natural zero, 自然零( Q+ ^0 m1 p3 k- u& F* n( h. U+ h
Negative correlation, 负相关: ?$ V0 v( S1 M' I) Y
Negative linear correlation, 负线性相关
8 ~' \8 F; z4 r: c4 o* cNegatively skewed, 负偏1 i! ~) s0 r* z# X$ u4 x
Newman-Keuls method, q检验3 M0 d7 `1 |5 R( @
NK method, q检验
0 W6 C$ U. T4 o# F/ I2 |. h( RNo statistical significance, 无统计意义3 j6 t, {% g+ q2 c
Nominal variable, 名义变量0 k! e6 p' M& u" z/ U/ N: ~1 k) @
Nonconstancy of variability, 变异的非定常性
! F* i$ z o9 }/ h1 G" r% Q/ cNonlinear regression, 非线性相关) g4 G) L; N( F) w
Nonparametric statistics, 非参数统计7 q/ n" A3 ~# V y
Nonparametric test, 非参数检验
# {$ p4 `2 k1 A, NNonparametric tests, 非参数检验. Z& k- y- e" D) m- ^9 l
Normal deviate, 正态离差5 ?5 g$ y0 B: r2 A* u
Normal distribution, 正态分布4 T6 l8 o" m# x$ x
Normal equation, 正规方程组
; u X( x8 h9 X5 BNormal ranges, 正常范围2 N, K$ v- C! h' k
Normal value, 正常值
4 Z4 p. F5 I! Q9 pNuisance parameter, 多余参数/讨厌参数
; H1 Z9 v) ]" M7 e5 DNull hypothesis, 无效假设
5 W e$ [: `1 i% j* DNumerical variable, 数值变量
7 N/ c# P9 @% j$ [, O, Q1 gObjective function, 目标函数 [/ C) r' |- c* k
Observation unit, 观察单位
% K7 @6 _* B( v dObserved value, 观察值$ F d( M- e, {
One sided test, 单侧检验8 V' H# _+ C, f; x+ U" M
One-way analysis of variance, 单因素方差分析
6 e. k* t. h4 Z sOneway ANOVA , 单因素方差分析7 { K6 P5 d2 p: X% K$ y( n1 S' B
Open sequential trial, 开放型序贯设计2 _! K% F/ m3 e6 l
Optrim, 优切尾0 D9 j4 g0 u8 D. @+ V) x5 l2 U6 a
Optrim efficiency, 优切尾效率
# E2 J' B+ Z5 O4 d) P9 }$ xOrder statistics, 顺序统计量
* p; G J9 g/ v0 ]) d, d7 nOrdered categories, 有序分类
% z8 |+ f5 v' V4 X% j5 lOrdinal logistic regression , 序数逻辑斯蒂回归' f {% L( s3 I: z6 s# v; p
Ordinal variable, 有序变量
, \* r+ B. P- s0 IOrthogonal basis, 正交基3 n9 ?+ K* L# x; q
Orthogonal design, 正交试验设计
3 m9 c! O; _; t+ S0 NOrthogonality conditions, 正交条件" v3 Q$ F: K+ x2 F
ORTHOPLAN, 正交设计 + ~& J. Z0 _. k3 P: J+ w' r; o6 B
Outlier cutoffs, 离群值截断点
" x2 L9 D0 N8 H/ @Outliers, 极端值
' _8 m, D0 M' d3 n! D) e- _. Z5 d2 bOVERALS , 多组变量的非线性正规相关
! @& j9 l2 u) z( k2 p8 }1 p! MOvershoot, 迭代过度, k! F+ J" P4 X
Paired design, 配对设计; v/ s9 {0 d4 ?( z
Paired sample, 配对样本/ Y* c# v5 D. p8 h
Pairwise slopes, 成对斜率" P9 l5 `9 n* a" Z/ e' r3 S( ~
Parabola, 抛物线
* U% i! c3 `* Q E* R# _& \Parallel tests, 平行试验4 U& r2 i3 ?. [: s
Parameter, 参数
4 C! j& J, {2 z. M' XParametric statistics, 参数统计9 P0 }9 ^9 d- s, f; r3 s. U
Parametric test, 参数检验
- }( r n6 I( e$ |3 v# `Partial correlation, 偏相关
Z6 f/ O0 P. x7 I F9 W/ ?5 ~Partial regression, 偏回归
) T B, B6 O; K4 PPartial sorting, 偏排序. g& L7 l: e' x
Partials residuals, 偏残差
w! {5 G2 T6 {! |% xPattern, 模式
7 j6 j: x: F2 {Pearson curves, 皮尔逊曲线
8 `, S, n W3 F4 uPeeling, 退层
( D9 f( A& B' z( m) wPercent bar graph, 百分条形图9 N' s% y/ g% t3 G3 |
Percentage, 百分比
" e' p: a- w$ I# I/ KPercentile, 百分位数3 w. K/ ?. c6 R. Z
Percentile curves, 百分位曲线
. V6 W; O# Y- d6 {5 R" mPeriodicity, 周期性6 M% L. `. u( x P6 s& k7 n
Permutation, 排列
& m* t; q) D, y* fP-estimator, P估计量. I7 e0 R. @% F. j' W; }$ o+ ~3 t
Pie graph, 饼图2 y& p! k, o1 g) `
Pitman estimator, 皮特曼估计量% T6 K1 U! k8 D; j
Pivot, 枢轴量- D# t+ A. g% O, W
Planar, 平坦( n3 L+ z( k1 v! |# z
Planar assumption, 平面的假设! H8 X6 R7 | o' G
PLANCARDS, 生成试验的计划卡
6 l/ V" X4 j$ A8 @1 K0 W+ ]# kPoint estimation, 点估计
7 I: d% N8 Y6 JPoisson distribution, 泊松分布, h6 t% i4 F+ p$ f" s1 o0 R* X I& C
Polishing, 平滑! w7 X& ^2 ?' K, t+ X
Polled standard deviation, 合并标准差7 }& N4 k& U) @' ?& Q8 ~# ]
Polled variance, 合并方差
1 E( H0 R. u/ E5 |' f; K, N' w, k) u+ TPolygon, 多边图
6 y$ k* B5 X! ?. i3 SPolynomial, 多项式3 S0 e+ U" G* }7 i) n9 p9 ]# ^
Polynomial curve, 多项式曲线
( ~. t) h7 ~" U, j& LPopulation, 总体
) m) E3 K( d* ^" j9 m% ~Population attributable risk, 人群归因危险度
' A5 |' C; h5 E3 x+ o kPositive correlation, 正相关5 m0 a: z( C- ~4 ]- D' k
Positively skewed, 正偏
0 g' t6 s) ~0 L% XPosterior distribution, 后验分布# p9 ?, `+ i* ]( O8 L5 @) m0 K
Power of a test, 检验效能
1 b* D+ ~) Q; j/ h) }4 pPrecision, 精密度
+ ^ l: K; }' v& G8 fPredicted value, 预测值+ W( h, E% Y' K$ @8 n6 {( ?
Preliminary analysis, 预备性分析3 A L/ Z$ `4 j# Z8 g
Principal component analysis, 主成分分析9 z& p: g: i+ J4 p: }4 n
Prior distribution, 先验分布8 e) E8 E5 L: U: S0 R% X
Prior probability, 先验概率
5 y) p* P+ f x/ @8 r" q9 e/ sProbabilistic model, 概率模型" P$ ^8 T! q5 w
probability, 概率
. `+ k/ w! W/ D! CProbability density, 概率密度1 H3 z* h3 V# ]( f4 _
Product moment, 乘积矩/协方差
: g4 `2 N. l5 v# }1 U6 Z+ h; W9 Q4 {Profile trace, 截面迹图
! [6 J+ h, c3 T7 {! @/ dProportion, 比/构成比' h& D+ ~6 _3 X# p
Proportion allocation in stratified random sampling, 按比例分层随机抽样
; B/ j$ y0 N6 ?! ?Proportionate, 成比例1 T% f2 @$ k1 b
Proportionate sub-class numbers, 成比例次级组含量* Z, t- h6 q3 d
Prospective study, 前瞻性调查; b9 e- i5 s8 \
Proximities, 亲近性 ) E9 d5 N3 {$ v2 N! v% X
Pseudo F test, 近似F检验9 n' i6 v9 B' G" L4 ]* I
Pseudo model, 近似模型
- I @: r1 B0 S- l& qPseudosigma, 伪标准差& A1 X" V: l \" R6 `" W% B4 Y& y4 E2 X
Purposive sampling, 有目的抽样
4 Q; H5 p" g# R9 jQR decomposition, QR分解
1 B- S, V$ @9 B+ p4 ]5 {Quadratic approximation, 二次近似
) p1 p$ i: G( N UQualitative classification, 属性分类, T: X! g# J$ i- S
Qualitative method, 定性方法
: z4 l. @4 R; c- [) bQuantile-quantile plot, 分位数-分位数图/Q-Q图
3 o8 C0 q" {6 M: V# t! rQuantitative analysis, 定量分析" ]. h% L/ W+ J z6 Q
Quartile, 四分位数' _5 d# r0 b0 |: ^8 m
Quick Cluster, 快速聚类
3 H/ t* a+ S1 ? ?' F6 D9 ERadix sort, 基数排序7 M- t5 K6 a6 ]) C/ k, m2 R
Random allocation, 随机化分组2 c' q1 m. j9 o2 h- [1 u
Random blocks design, 随机区组设计
9 H. t8 ~$ I+ d3 \! pRandom event, 随机事件6 {/ @. M1 ^5 ]. n! R8 S
Randomization, 随机化
8 U8 K& G% J; R! oRange, 极差/全距( m6 n6 S2 b! K/ H
Rank correlation, 等级相关8 D3 t& R' O$ ^& E6 G
Rank sum test, 秩和检验
* V6 M: x z- J; jRank test, 秩检验
, d: b/ `, [ R% M# ~- o" w5 bRanked data, 等级资料
2 [- L8 e# w( Q! Y bRate, 比率" K* ^7 l* e- w" a' g0 [: ?
Ratio, 比例4 b7 S& Z# i! v$ Y) m" x9 P5 X4 {
Raw data, 原始资料1 p- @; a$ x) A3 M+ e
Raw residual, 原始残差
' ~1 _; K0 C# W# s$ ]9 O: ?Rayleigh's test, 雷氏检验
2 `$ V7 ] b/ ]Rayleigh's Z, 雷氏Z值 " o: o9 v2 A' K9 q R4 w5 A% I
Reciprocal, 倒数
& F# r5 Q5 q' k5 ?0 BReciprocal transformation, 倒数变换
1 Z# q7 M- ^, DRecording, 记录: D, j: t" L7 \
Redescending estimators, 回降估计量" g! }; j: O0 j- q
Reducing dimensions, 降维: L) T; M/ _. ~' J: F3 N
Re-expression, 重新表达- Z3 x: [! u# o/ r3 L7 L
Reference set, 标准组6 e9 n4 v% I, c. d* B: f$ o
Region of acceptance, 接受域" F0 j% [: D `: M
Regression coefficient, 回归系数
6 [/ c2 ~, C$ ?, {) h3 w8 w6 M' DRegression sum of square, 回归平方和# A" |3 |1 J6 O7 R. b) H
Rejection point, 拒绝点
5 K, I8 D, z8 h9 v; l6 @" D! aRelative dispersion, 相对离散度+ l5 c! w) l3 A& ~
Relative number, 相对数6 ^. M- k2 k e" b/ j% k- }
Reliability, 可靠性 M) t+ ^; S/ }% [' S8 p) E
Reparametrization, 重新设置参数
8 S& ]- C& S. P5 n! k" O4 ?4 f7 yReplication, 重复
; X/ w) r) \9 U9 ZReport Summaries, 报告摘要- R! a2 f: A, l: B! |9 `# z8 _
Residual sum of square, 剩余平方和
* h C! d& F; f4 ]. m, Q* C4 r$ n( y1 vResistance, 耐抗性2 i1 A: e7 M8 K# k4 x' [% s
Resistant line, 耐抗线1 `* W- T' _2 d6 p$ @9 o
Resistant technique, 耐抗技术
, a; T. t& G2 [6 N" V4 w' @; [R-estimator of location, 位置R估计量
5 [" x+ X/ O+ M+ A( s6 X! RR-estimator of scale, 尺度R估计量
( O* ~1 P7 k0 _. C. d) z( q# ~Retrospective study, 回顾性调查
. e5 V8 z3 G: ?! [/ g4 }) W! ZRidge trace, 岭迹* U: P, S& B6 r% I' q5 l( k8 @
Ridit analysis, Ridit分析
- X3 {. m6 R, d, {8 `Rotation, 旋转
. L1 b" o( g9 o3 o! b' URounding, 舍入
1 {6 |! q! @: bRow, 行1 n! O3 c7 @) y8 Y& p" `
Row effects, 行效应
, O) X! H3 ?: BRow factor, 行因素/ _/ M, _0 ^7 i5 v
RXC table, RXC表* @5 [ r9 e, W
Sample, 样本1 A% V' `, l `1 q4 d
Sample regression coefficient, 样本回归系数/ \1 T) H( \2 E/ z, W6 o$ }
Sample size, 样本量- Q+ x! D+ f- M3 I- `7 B o5 z( m
Sample standard deviation, 样本标准差
# m+ T. b/ u3 h( r9 C7 R1 QSampling error, 抽样误差 m' S3 p7 E- Z2 p
SAS(Statistical analysis system ), SAS统计软件包* @! ]9 U4 l- W4 C! B
Scale, 尺度/量表1 E5 h) k0 R/ }8 D8 S8 b
Scatter diagram, 散点图+ J; e* K; c) A
Schematic plot, 示意图/简图
l7 T, q: {7 Q- x$ HScore test, 计分检验; W7 N2 Z* @: F+ t4 _3 g* h9 T
Screening, 筛检" M7 L% _8 B5 Q& `5 k; O
SEASON, 季节分析 $ l3 H, w4 s% Z& f/ u' x. I! ?
Second derivative, 二阶导数' O3 a \- S3 [: P5 k
Second principal component, 第二主成分) j( }3 c A( Y9 [% [: V( a' k$ J
SEM (Structural equation modeling), 结构化方程模型 9 j- L# y/ ?/ w* O
Semi-logarithmic graph, 半对数图
9 K8 l- ]3 [" q6 GSemi-logarithmic paper, 半对数格纸
' ]- Z, ?/ w. i9 CSensitivity curve, 敏感度曲线
( C' X7 t+ b$ v }+ t, n4 ]Sequential analysis, 贯序分析
. D) D3 `6 H: ZSequential data set, 顺序数据集
- _! v4 ?! T# m3 j. CSequential design, 贯序设计0 d- ^! G9 d7 A. q o) X
Sequential method, 贯序法% W# p: A+ z F
Sequential test, 贯序检验法1 w. \# g5 A8 p/ U0 k4 _
Serial tests, 系列试验0 n M' T) n' @5 ]
Short-cut method, 简捷法
! v* ]$ L9 V! z& _, v7 A4 bSigmoid curve, S形曲线
7 j4 U) I* \( C, p" f5 _5 vSign function, 正负号函数/ O/ {, q5 |: x
Sign test, 符号检验1 G& M8 i$ g1 {* q; D. [6 H
Signed rank, 符号秩
+ s- q6 U' K6 h* ]% _$ K8 l" _, bSignificance test, 显著性检验/ g4 ^2 U8 _1 w4 T1 M5 s
Significant figure, 有效数字
) h( q2 D8 H- ?5 ~% A% R' VSimple cluster sampling, 简单整群抽样% R: G) x* g Z
Simple correlation, 简单相关
5 W$ I2 |7 e$ E9 X% r3 ]! LSimple random sampling, 简单随机抽样) X6 S8 E7 p' ]6 ` B
Simple regression, 简单回归
3 _3 m# [. t: p e8 |, Dsimple table, 简单表
) L+ _1 D- D- G, fSine estimator, 正弦估计量0 o _/ Z: \/ G, Y
Single-valued estimate, 单值估计6 J) _- B1 [, I# J$ T( b: S
Singular matrix, 奇异矩阵% T1 K8 D8 U1 i* d8 o9 E0 Q
Skewed distribution, 偏斜分布) o9 \) m0 H9 Y e; E! y
Skewness, 偏度
@6 X9 M. p- G3 d+ a/ [Slash distribution, 斜线分布% ^7 d2 l9 I8 ]1 ^
Slope, 斜率" g/ L* s3 e5 F- ?1 r9 J
Smirnov test, 斯米尔诺夫检验; W% G3 Z5 W' e. P* `- r3 Z& b
Source of variation, 变异来源% F" R9 |& k7 P2 [5 m
Spearman rank correlation, 斯皮尔曼等级相关3 _. C. f7 i( j* b" C
Specific factor, 特殊因子' `! `$ C( w4 e C
Specific factor variance, 特殊因子方差) g1 w6 T% r) T; H
Spectra , 频谱
' w+ \4 u) ^4 ]% e6 @Spherical distribution, 球型正态分布1 A j( ?% B8 V1 g$ r
Spread, 展布! o: k& B h. L
SPSS(Statistical package for the social science), SPSS统计软件包3 q4 p* a! L7 P& \# K3 o# N
Spurious correlation, 假性相关
7 y6 V9 X# H7 b* L1 G. a- gSquare root transformation, 平方根变换0 z g7 `, c( J4 g0 }' P
Stabilizing variance, 稳定方差# |0 E" s4 ]9 Y7 |1 N4 B, G s7 C
Standard deviation, 标准差; t# w/ Y. V1 C. K/ e K
Standard error, 标准误
+ `- ^4 e% o+ y- W, J, q& t! WStandard error of difference, 差别的标准误7 D. a% b, f$ @0 k- G
Standard error of estimate, 标准估计误差
4 \# w$ M, s8 E2 }. ?Standard error of rate, 率的标准误
/ m& e7 s; G+ z, XStandard normal distribution, 标准正态分布$ [8 X( ^ N! n4 D K' z, @
Standardization, 标准化: \5 Z6 a& g; v) }
Starting value, 起始值; Y5 @$ m4 l5 z0 m" ~/ w9 k
Statistic, 统计量
@: \+ s; K% m. m* I: s( cStatistical control, 统计控制
- ?. m3 y8 z2 ~( l8 e. IStatistical graph, 统计图, \) m# \: @! j$ t3 z) [. Q
Statistical inference, 统计推断
/ r5 g! u+ Q! [# k) G Q+ @Statistical table, 统计表
1 p8 T6 r1 C0 H, m6 BSteepest descent, 最速下降法 q! e+ v" r! X8 r5 q1 Z
Stem and leaf display, 茎叶图. c' v t* T% Y, u5 G( O' Z% b
Step factor, 步长因子
' D, q5 x) F: A U: C6 l) KStepwise regression, 逐步回归
3 ^% `7 o+ U; j4 W! rStorage, 存
. r2 |. j8 E5 a( H: NStrata, 层（复数）4 x4 X' D. u0 ?2 c9 a
Stratified sampling, 分层抽样$ V2 r1 e% s& h2 ]
Stratified sampling, 分层抽样
0 M/ H" L6 O2 x8 i7 J2 \ dStrength, 强度: M$ X. E% K: D7 q3 n$ \$ S/ S
Stringency, 严密性
3 b! g" _2 V9 R2 N. W0 IStructural relationship, 结构关系
. R3 W3 b9 w/ [7 }& uStudentized residual, 学生化残差/t化残差# j3 Y7 a' o- g9 g S0 G
Sub-class numbers, 次级组含量+ X% w% w6 ~* _( z* |
Subdividing, 分割9 ~$ j3 J( F5 H. i. M
Sufficient statistic, 充分统计量
7 J1 y3 K1 F+ f2 CSum of products, 积和
; v2 h+ p7 k, [5 x8 f5 q* ]- p7 hSum of squares, 离差平方和
: D. x0 a+ W8 ^* v/ hSum of squares about regression, 回归平方和
8 F; F$ o9 P1 k& L* ~' oSum of squares between groups, 组间平方和5 t5 y* [4 g* G$ l! l! e
Sum of squares of partial regression, 偏回归平方和* d. x9 f) P5 i
Sure event, 必然事件
8 S' J8 L' _: n4 G e0 ESurvey, 调查
% ^# o% a3 U1 O- z7 XSurvival, 生存分析
" Q$ \3 a7 b% J7 O) `; a* L) j* ySurvival rate, 生存率
' S8 g- `% q4 t, n. e( ?2 jSuspended root gram, 悬吊根图
" H1 Q& o" i% ?) e+ d8 s6 QSymmetry, 对称
9 ?7 ~" C' u4 \0 P/ S0 ] I: OSystematic error, 系统误差
$ S5 T y7 S( L. ?) ]1 w4 MSystematic sampling, 系统抽样
$ D" m" {# m5 A ^7 m" L+ G9 _Tags, 标签
: {. `8 a! W- B, TTail area, 尾部面积5 w4 l) x) v( @
Tail length, 尾长' T8 i4 d8 g5 d5 I8 N' n" E
Tail weight, 尾重3 p% h0 _- _7 G( I
Tangent line, 切线$ F. O ?( F# B0 s
Target distribution, 目标分布
8 z& y1 ]% L# s. `# P, oTaylor series, 泰勒级数* A2 ?; y5 n% _& O
Tendency of dispersion, 离散趋势
: w* C* E; w& h5 W0 ]: B: T* i: pTesting of hypotheses, 假设检验/ y7 Z% \+ U8 j) ^; C1 i6 j
Theoretical frequency, 理论频数6 w) n3 \: u5 y; b- ?2 h
Time series, 时间序列$ Z9 P9 k8 e* [) K8 @9 J# b; o( V
Tolerance interval, 容忍区间
0 E% S# j+ n* M' g2 O6 w% TTolerance lower limit, 容忍下限
' @, ]# z( E# G5 M- W z" XTolerance upper limit, 容忍上限
0 P2 F3 S, X; Z& O- ? p! D/ D( ETorsion, 扰率4 N7 l. c$ `& |) \. C! ?# s
Total sum of square, 总平方和
- ~% j/ L( e/ S5 ~Total variation, 总变异
+ ?4 F j7 A+ m; \0 S; UTransformation, 转换
8 }) _* K3 B: h" c9 {+ Q& E3 Q6 ]Treatment, 处理
, t& d$ V; }" OTrend, 趋势! s0 p' `( a$ C5 J
Trend of percentage, 百分比趋势6 J( e& T5 l# Q/ F
Trial, 试验
, u A: b5 `, f$ WTrial and error method, 试错法
5 m: i+ O9 g! h' m) B E8 wTuning constant, 细调常数
9 R3 u, N5 C+ D4 O& ]: yTwo sided test, 双向检验 }% i6 h4 d Y. b* ]4 J( f J& T- |
Two-stage least squares, 二阶最小平方; H. g- t( W5 f# q+ J& n
Two-stage sampling, 二阶段抽样
; g4 R" c/ m2 {# G) E C* {Two-tailed test, 双侧检验( K2 m3 |9 T ~4 _' F: A- z
Two-way analysis of variance, 双因素方差分析
; ^& m. P; l# A) J. Y! _0 C, H7 DTwo-way table, 双向表0 W8 P; c$ J# @' S" h2 `
Type I error, 一类错误/α错误9 C2 v& }: k1 r( J0 f' M& V
Type II error, 二类错误/β错误
2 y( M" R0 \4 L% ?. M2 XUMVU, 方差一致最小无偏估计简称6 U: U1 g' G$ K
Unbiased estimate, 无偏估计; D9 [2 A5 d4 ^( d6 {* C9 A) y$ u
Unconstrained nonlinear regression , 无约束非线性回归
# d A! p6 @. T4 e" zUnequal subclass number, 不等次级组含量' H' J! T( E" E$ y8 I) b
Ungrouped data, 不分组资料& ^/ E7 |; }0 j% n: ?, z
Uniform coordinate, 均匀坐标
( x% R1 A! S! t3 Z+ ~2 \/ d2 @Uniform distribution, 均匀分布, B% W2 }; i _ ^: r+ C
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
" f4 c" `8 G5 y' R' p8 v2 J- CUnit, 单元9 L7 C% h" |" ^ V8 {1 y
Unordered categories, 无序分类
1 m" v# }) a2 z9 |Upper limit, 上限- e1 u' x; z! u2 D% p
Upward rank, 升秩
1 s8 I$ [9 v, p0 uVague concept, 模糊概念6 N6 ?7 q# t# F W* \* n" s
Validity, 有效性6 R% j, ?3 _' h0 @ g
VARCOMP (Variance component estimation), 方差元素估计
6 r& n, g* J$ P0 q3 n; YVariability, 变异性$ S. U" I! m1 }; K) v: t
Variable, 变量8 m3 y' J6 z8 Q# P! v8 m" \
Variance, 方差
& F P! a& L5 W ^% U4 \Variation, 变异
4 Q$ U' { r* qVarimax orthogonal rotation, 方差最大正交旋转
* w* k4 e; _8 o8 D( `0 yVolume of distribution, 容积
O4 T0 ~& ?3 o* A2 ]W test, W检验
' M S8 p9 H( L" q" V- eWeibull distribution, 威布尔分布* s4 ?" @- q8 f* _) Y6 L
Weight, 权数7 s% d, L7 ~( ~$ f$ g D
Weighted Chi-square test, 加权卡方检验/Cochran检验' u0 z7 h8 t8 `# H/ \
Weighted linear regression method, 加权直线回归
6 \- k* o9 Z: O" T+ Z" tWeighted mean, 加权平均数8 p. L+ v8 l& \* y3 L- l/ d ~
Weighted mean square, 加权平均方差
8 y( e) ?. \) i" J! NWeighted sum of square, 加权平方和
* |4 L8 ]0 }9 {1 LWeighting coefficient, 权重系数6 e. P# k; s2 z2 B N
Weighting method, 加权法
( S, p( n; s! h/ sW-estimation, W估计量5 ^* Z+ B" S9 b! z2 C5 l
W-estimation of location, 位置W估计量& c. B. l+ T+ y' H& U" J
Width, 宽度. a1 s0 l& @) ?- ?
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
0 S% G2 Q, m0 t* e7 VWild point, 野点/狂点9 N7 h8 c& H1 ]; X
Wild value, 野值/狂值4 S. z; Y" [) _) ?
Winsorized mean, 缩尾均值# j' h5 \0 F( {0 P4 e: G& I
Withdraw, 失访 4 B8 K( r+ r& c% _1 Q- B0 A
Youden's index, 尤登指数! I$ U/ z) _! ~# ^. c
Z test, Z检验
- o) ?+ j) |: W, I* uZero correlation, 零相关& b( N' N& Q# m8 a1 ]& }0 h! ^" E! M
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
