|
|
Absolute deviation, 绝对离差
& |) z! G7 a; _4 j" Y; P& q& f5 ^* ]Absolute number, 绝对数
5 k- n. a. R8 i/ b1 |Absolute residuals, 绝对残差
$ t; G; m4 J& T8 A+ b' yAcceleration array, 加速度立体阵, ]' T r# I8 I, g% `5 |9 R
Acceleration in an arbitrary direction, 任意方向上的加速度
1 y' s9 F4 e6 j; P4 G' T8 VAcceleration normal, 法向加速度
9 o1 r) x3 D# uAcceleration space dimension, 加速度空间的维数' o3 ^7 x+ n2 T2 y$ r& r
Acceleration tangential, 切向加速度7 K5 x! ?: B! _( [( P
Acceleration vector, 加速度向量
) r; t8 O6 n) t2 I6 jAcceptable hypothesis, 可接受假设
1 I- o/ D/ u- j0 n4 @2 k' h+ |! oAccumulation, 累积
$ i( z. n# o8 m/ p& BAccuracy, 准确度
: `& S0 T. x# y" w: J& wActual frequency, 实际频数3 u9 ?0 i- p! m
Adaptive estimator, 自适应估计量
, b7 p" l) d' m% `7 p" K$ vAddition, 相加
6 u* R6 B/ I/ \1 D; x; G$ EAddition theorem, 加法定理
: `3 K j% y$ c& E) u+ NAdditivity, 可加性3 q7 K! v3 Q; ]8 @7 m( p$ D
Adjusted rate, 调整率
3 h+ \$ L6 Y7 l& c* UAdjusted value, 校正值, i; K1 @$ R, _' W
Admissible error, 容许误差
. K& R/ o# G; z$ \4 ~Aggregation, 聚集性" r- }) T! d G- x
Alternative hypothesis, 备择假设8 r# E, i6 I- `
Among groups, 组间
% l: h% J, l- t4 N& C+ U: }& fAmounts, 总量" r: O7 r. B0 C9 j( f! H' \" V
Analysis of correlation, 相关分析
9 l' I. \1 J( e" y8 p. xAnalysis of covariance, 协方差分析# ~! p$ K8 ?( p
Analysis of regression, 回归分析: s. E# Y8 o$ G6 J
Analysis of time series, 时间序列分析2 G, b/ k: Z& v9 u* e2 n7 n
Analysis of variance, 方差分析
/ c) L3 C2 q# P5 ~! u( YAngular transformation, 角转换! ] T; [# Y9 U/ H8 ]/ r
ANOVA （analysis of variance）, 方差分析
3 E: f% t ], n1 H( fANOVA Models, 方差分析模型& |9 F& W2 ?9 Y/ i x7 {0 @
Arcing, 弧/弧旋
. L4 J$ _! N7 J' h4 d$ PArcsine transformation, 反正弦变换: j1 z; R+ t6 s& _7 m
Area under the curve, 曲线面积
& A5 k, v1 ]5 U% w. p/ X7 qAREG , 评估从一个时间点到下一个时间点回归相关时的误差 ; O/ G/ V" O% c1 Y
ARIMA, 季节和非季节性单变量模型的极大似然估计 9 |4 i* p1 {; N' ]0 R' A5 a
Arithmetic grid paper, 算术格纸9 I% a+ {' v; r/ u! }5 c' Y e
Arithmetic mean, 算术平均数
" l4 ^+ R4 k8 @- f3 OArrhenius relation, 艾恩尼斯关系
+ C. Z7 {' y, K* A2 t) s! y8 TAssessing fit, 拟合的评估
9 [0 B' g+ W8 R. a7 _Associative laws, 结合律/ Z' i6 t) d6 L9 ]
Asymmetric distribution, 非对称分布. K/ J. S0 l5 x" w& \& p8 v3 K. X7 T* v
Asymptotic bias, 渐近偏倚3 `) J9 f9 V- f4 ]6 _
Asymptotic efficiency, 渐近效率6 x: u, |3 _& {/ p4 H1 L
Asymptotic variance, 渐近方差
: ~. o5 i0 y8 V6 q9 ?8 `Attributable risk, 归因危险度
7 T% f$ N6 z' n1 N& ^, O/ cAttribute data, 属性资料) w. J4 Z- c. ]3 h2 d% s
Attribution, 属性
6 \9 @ k2 i0 V/ @: G+ ]- \$ ~# qAutocorrelation, 自相关. B9 h/ k; k) B* m6 O
Autocorrelation of residuals, 残差的自相关3 Q3 @ }, n4 ~6 r
Average, 平均数/ O( s, t/ S% ~
Average confidence interval length, 平均置信区间长度9 n% S# S, l- k2 _
Average growth rate, 平均增长率: ^) R/ p8 ]" C& |/ p; O8 n7 ^
Bar chart, 条形图
7 l* l1 ?8 g- t! k" k- P, Y0 ZBar graph, 条形图% k3 C2 K; j; U/ P! g$ {
Base period, 基期( O* X2 D' ?& D) Y
Bayes' theorem , Bayes定理
9 T+ m7 Z# j+ `/ S8 e, BBell-shaped curve, 钟形曲线
( Y8 W! m1 `; M$ jBernoulli distribution, 伯努力分布9 y) D7 Y4 m w
Best-trim estimator, 最好切尾估计量( a3 `! l5 g. Q+ i( r2 B
Bias, 偏性; z! B! g( _; A9 k, q- K5 N
Binary logistic regression, 二元逻辑斯蒂回归5 r% V, w9 j9 u. E) h% z8 D3 |
Binomial distribution, 二项分布
9 y' Y( h7 U4 r7 _, P( QBisquare, 双平方
- {6 ~* }3 g8 \9 r! I% IBivariate Correlate, 二变量相关 V* v4 S/ j4 M2 `
Bivariate normal distribution, 双变量正态分布
1 `# U) w: K9 h8 z. ]! jBivariate normal population, 双变量正态总体
/ x& v4 U+ w9 L6 r/ f) @ }Biweight interval, 双权区间3 R. i+ ]) c5 [- }# }
Biweight M-estimator, 双权M估计量
, r! B0 L* h$ K' G( o0 v' jBlock, 区组/配伍组
1 S* z; \2 Z6 F" a+ YBMDP(Biomedical computer programs), BMDP统计软件包
7 I: W- Y8 { K5 xBoxplots, 箱线图/箱尾图, I& q. ?" n: F& i
Breakdown bound, 崩溃界/崩溃点
8 `0 s; x M( w9 K9 d A9 i4 a+ [! r o. hCanonical correlation, 典型相关
5 Y: Z/ ]& ?2 B" y( ]Caption, 纵标目
4 U ?, x4 C* ICase-control study, 病例对照研究: D9 `5 C; N+ A7 R+ x
Categorical variable, 分类变量
3 i5 o. m' g. ^; s3 p0 G% uCatenary, 悬链线
2 E. Y3 y( n" _% D' S4 N3 Z6 eCauchy distribution, 柯西分布
% z# d4 L z! p! ~" ~Cause-and-effect relationship, 因果关系
* m% `/ c- S: N: ]. C0 nCell, 单元
2 K/ D" s( d% _6 T- e2 G g+ sCensoring, 终检+ z4 O7 i3 k% w6 {
Center of symmetry, 对称中心
# L/ R' |; U6 _Centering and scaling, 中心化和定标7 Q7 T9 M0 |$ j o
Central tendency, 集中趋势0 `7 `& ^( `2 G; g
Central value, 中心值
" H$ e+ S2 R; iCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测- y I9 x; \; j9 C5 I- s
Chance, 机遇3 v: w6 @* E1 e# W' P2 o
Chance error, 随机误差
/ p7 D8 T5 e* t4 EChance variable, 随机变量' }7 \/ }1 q8 C4 S: q* D" v$ m
Characteristic equation, 特征方程, S3 S# |6 J) ~+ R# D
Characteristic root, 特征根
( b3 h! ~% `, u) N; HCharacteristic vector, 特征向量 h# Y9 k( X* r$ S
Chebshev criterion of fit, 拟合的切比雪夫准则7 r7 V- V H+ y. W% V
Chernoff faces, 切尔诺夫脸谱图' g( r# o4 [* F4 z
Chi-square test, 卡方检验/χ2检验
& T! G9 A2 ^1 ]- h2 ]Choleskey decomposition, 乔洛斯基分解6 K5 E6 R6 l; |) W' j9 R
Circle chart, 圆图
0 {! m9 k e* x# t5 ]4 i( c5 wClass interval, 组距
! J" b! a3 u0 x9 M Z5 g1 V$ YClass mid-value, 组中值3 U( I3 V$ e$ Z$ `% G
Class upper limit, 组上限6 l# Q: ]2 e! t) T6 ?0 ]1 o
Classified variable, 分类变量
& P% l1 Q, D! B2 yCluster analysis, 聚类分析# _8 f. P( a4 I( r) f2 ?% z
Cluster sampling, 整群抽样
$ U) I3 E# A$ vCode, 代码) U( P2 N- R+ Y U
Coded data, 编码数据* j0 o* C$ R. k# ?: [
Coding, 编码
% |- m/ }* v* n a7 u' e0 jCoefficient of contingency, 列联系数
. U" n1 s4 @- I! BCoefficient of determination, 决定系数 ~; ~6 k- x' @7 I
Coefficient of multiple correlation, 多重相关系数! B b8 @4 w# t# ], k
Coefficient of partial correlation, 偏相关系数* g: i1 s; u4 t: @6 T- p
Coefficient of production-moment correlation, 积差相关系数4 K( U/ X4 i' _
Coefficient of rank correlation, 等级相关系数
2 T' y: c$ E) }( v( v( N WCoefficient of regression, 回归系数
) }9 U8 j& ~2 ]( N* j5 _6 XCoefficient of skewness, 偏度系数7 ]6 s- f# f* m
Coefficient of variation, 变异系数
& g3 d; G7 m# k3 j4 m0 }Cohort study, 队列研究7 x3 J2 j( h& a) Q
Column, 列; Q5 M0 I$ B( ?. N9 d: H
Column effect, 列效应9 t' K% `! ?8 W4 i; D
Column factor, 列因素
2 G# Z J8 \! f& VCombination pool, 合并
. ^3 F6 X$ ]. d( J4 iCombinative table, 组合表
" W2 J6 L! l" J* B( D5 uCommon factor, 共性因子# n+ I4 F& R+ R# d9 d( b4 n
Common regression coefficient, 公共回归系数. Q4 I1 ^0 k- `5 f5 Q
Common value, 共同值" f! g+ f) E. p, y. L* u
Common variance, 公共方差
/ _. r1 t" D7 X4 W2 z7 e! MCommon variation, 公共变异6 l& E/ W! {) s; ]: S
Communality variance, 共性方差
; V- h8 S7 ~% b6 D& eComparability, 可比性
/ s7 M3 }; {! Z' c; O- F- iComparison of bathes, 批比较
" s8 L5 \4 ~& D% k! @2 g! J5 XComparison value, 比较值/ S( d/ y" E( Z) R% n8 h
Compartment model, 分部模型% i# v4 Z5 ]% v3 [+ @+ z1 B; C
Compassion, 伸缩
, ]) m* C' P- t: y5 v7 C mComplement of an event, 补事件0 n2 `% k: b( r2 w/ B1 B9 Z! G
Complete association, 完全正相关# C# {5 |0 b4 `/ g
Complete dissociation, 完全不相关8 B) G9 G) g* J B
Complete statistics, 完备统计量$ y' g0 Y- Y% L4 U- W, ?7 U) N& o
Completely randomized design, 完全随机化设计5 W- L1 ~7 Q! ~1 c0 \3 ~) K, a
Composite event, 联合事件5 F( X0 e" E1 E; p
Composite events, 复合事件
1 I- X: x6 i, \: h$ N) o* V6 hConcavity, 凹性
4 m/ O8 x! |' cConditional expectation, 条件期望5 H3 m; { A: V; w; g! i; R: W
Conditional likelihood, 条件似然& t# |1 Z$ W# d7 [2 ]
Conditional probability, 条件概率8 G5 ~" K+ k. K2 T& l; J1 U/ `9 u" M
Conditionally linear, 依条件线性+ ^' R! V p# Y. m2 v9 x% R% Z
Confidence interval, 置信区间
" a1 O9 ~1 N) s3 s) i5 B4 ?6 X+ RConfidence limit, 置信限
/ ]" A* }& t7 }$ v6 RConfidence lower limit, 置信下限7 y2 \7 ~# u6 z2 k
Confidence upper limit, 置信上限
* T, b' O/ B! h9 QConfirmatory Factor Analysis , 验证性因子分析
! W6 I' D: N G5 ?1 aConfirmatory research, 证实性实验研究7 j7 d3 ?7 `, j
Confounding factor, 混杂因素
1 `( S: i- }3 v. A' L. \ uConjoint, 联合分析8 o$ ]9 q2 h0 \3 @: J5 ]/ i0 y6 z* H
Consistency, 相合性) w' T, ?- I" k7 u
Consistency check, 一致性检验( z# j+ J$ a5 A
Consistent asymptotically normal estimate, 相合渐近正态估计
3 d) }. O: }& j9 Q# X/ _( TConsistent estimate, 相合估计7 |. X& I! q3 \4 x( j! E
Constrained nonlinear regression, 受约束非线性回归
" o# L7 m4 Y, d. ^Constraint, 约束
V9 R& V' w; }Contaminated distribution, 污染分布
# Z: N. u {* N4 x! N* f" fContaminated Gausssian, 污染高斯分布2 j6 N7 D% Z9 g" \: P5 u# ` D$ O& m
Contaminated normal distribution, 污染正态分布
7 z, J7 [/ b0 {. n7 PContamination, 污染
# F' h6 x: h4 V5 cContamination model, 污染模型
0 I) a. X Q. HContingency table, 列联表
* ]) `0 l+ w/ ?% k! G, B& MContour, 边界线
: a- d1 y1 b, n- xContribution rate, 贡献率/ F, X2 ?/ x& l. ?3 u& Q
Control, 对照
3 M$ C! K5 b3 U9 l( eControlled experiments, 对照实验4 e9 Q1 d8 c+ U& W0 k& T9 q
Conventional depth, 常规深度
" C4 s) B, x, O8 @+ A: ~Convolution, 卷积
' i- e7 q; ^# W" kCorrected factor, 校正因子
6 v5 m( J- E4 a. O5 F- K5 e% s6 {Corrected mean, 校正均值6 l U: W: V3 Q" a' E4 `+ Q
Correction coefficient, 校正系数
5 T* l0 B+ t2 A- A9 TCorrectness, 正确性
0 d2 l* K9 T# h4 h0 k) A1 A% ZCorrelation coefficient, 相关系数( V# L9 Y; d- a! ?
Correlation index, 相关指数
5 S m4 X, H/ g$ A$ F( O; L9 G0 x0 c) hCorrespondence, 对应
7 m# |. C; _: W! q( K) iCounting, 计数
. [- l O/ @( c) |5 z x5 F7 W' YCounts, 计数/频数
$ ~0 }3 W* c! _5 }! Z8 R8 tCovariance, 协方差# N# P ]8 I1 t8 n3 N
Covariant, 共变 " a9 T# Z: q& w% {
Cox Regression, Cox回归
0 ^1 O. M# H& ~3 Q- f* i& _: |Criteria for fitting, 拟合准则5 f' Z" r( @: x
Criteria of least squares, 最小二乘准则 H, d {, Q y+ H5 n+ M9 {/ W
Critical ratio, 临界比$ n, T+ _6 m8 j" Y
Critical region, 拒绝域
5 A7 `% i1 x/ j) v# }% oCritical value, 临界值! P3 n. M( ~8 W8 Z
Cross-over design, 交叉设计
* q7 k( R" c. P1 C; mCross-section analysis, 横断面分析
* \+ }4 q& {4 a R8 k: i8 D* Q2 dCross-section survey, 横断面调查& y& ]8 s6 P2 {
Crosstabs , 交叉表 1 L6 ]9 l9 I! O& Y
Cross-tabulation table, 复合表
, x! ~2 f. m+ X* m1 aCube root, 立方根! U; `3 f9 X3 K" ?; w; W
Cumulative distribution function, 分布函数2 p( g( d0 K: h) H) U& y% L
Cumulative probability, 累计概率( C5 w7 B, R s" W
Curvature, 曲率/弯曲
. O! a( L; i+ R9 H) P3 pCurvature, 曲率1 x5 \. \+ @& \3 S g( Q7 g
Curve fit , 曲线拟和
& a- H7 s s; l0 j! \+ XCurve fitting, 曲线拟合4 U6 v0 y& g1 M
Curvilinear regression, 曲线回归' ^) y/ e) p' C# ?1 @1 c. D
Curvilinear relation, 曲线关系
0 r2 a: r% W4 F0 QCut-and-try method, 尝试法! P$ A/ h1 i( i, j8 d. Z
Cycle, 周期. S8 s( C" \3 Z: `- X9 ~9 F
Cyclist, 周期性( U1 h+ G* L: h+ U1 F6 o$ t3 a& o
D test, D检验
' H. a. [& Y+ R5 mData acquisition, 资料收集8 x/ K! Y$ M" W& t" X. Y
Data bank, 数据库9 J: Q1 q, X- v: \0 n2 y
Data capacity, 数据容量
1 |/ D; D' V! s- n3 AData deficiencies, 数据缺乏1 h6 S8 X3 s3 J( q2 K
Data handling, 数据处理7 W6 f8 v! q/ l1 `' i
Data manipulation, 数据处理7 h/ o% N- N0 K; z" W' E
Data processing, 数据处理- r$ h4 J" y) X3 e9 I
Data reduction, 数据缩减1 N. }" }4 x$ ~( e. k& o
Data set, 数据集
) e5 h; y7 O/ k7 r3 N1 M5 l( oData sources, 数据来源
0 ?- D$ }; K, T* H2 M S ?Data transformation, 数据变换
9 Q5 [- ^! I4 e9 s4 B! w# UData validity, 数据有效性
& p9 y! r, A' z9 |+ y! rData-in, 数据输入
. ^+ f' X2 C, W) LData-out, 数据输出) H+ U5 p# n( v" h4 M" `
Dead time, 停滞期
8 x4 m/ C. b+ B/ h- qDegree of freedom, 自由度
% i B6 w% s7 q$ K% K; }* N, ZDegree of precision, 精密度' }$ l2 T ^! A) I/ J
Degree of reliability, 可靠性程度5 z: P ?, x h# e1 `3 Z( z, K
Degression, 递减9 Y4 f* [2 ^6 ?. B. O x7 ?! @
Density function, 密度函数; _( N, [4 ?+ @) `) x6 a9 x8 |; Z
Density of data points, 数据点的密度
3 K1 P" d |9 {: J% n* |) \- dDependent variable, 应变量/依变量/因变量6 Z4 g* |! N; F$ j% |
Dependent variable, 因变量2 p5 b$ |% U1 d5 r" d
Depth, 深度
) D2 O( b3 Z, gDerivative matrix, 导数矩阵
. f) K: I) F+ Q, {1 [Derivative-free methods, 无导数方法' ?& C% a* }" M) {8 e. i
Design, 设计: t Z. \; b+ {7 F, a
Determinacy, 确定性
1 C$ E, [7 ^: e& n% J! Q D: C+ bDeterminant, 行列式' B' C0 i! `( b$ r# T
Determinant, 决定因素
# D( `6 V5 x: U$ E# cDeviation, 离差
5 O* i& F8 |7 v9 Q: u! M; uDeviation from average, 离均差( N9 E3 q2 c, L& Q& Z0 T/ k
Diagnostic plot, 诊断图
3 i# ?, L' t2 T' PDichotomous variable, 二分变量2 F- u* F3 z! S& o. o& j4 f/ ]
Differential equation, 微分方程
( {1 R. R+ K# jDirect standardization, 直接标准化法
5 p7 b; J3 E8 Y! V# C. W" |' ^& `Discrete variable, 离散型变量. K$ P) T& h' O
DISCRIMINANT, 判断 + @1 R9 H' i, Q
Discriminant analysis, 判别分析
" p- U8 e1 p% n' X' o, W# tDiscriminant coefficient, 判别系数
# B, M( P( R6 iDiscriminant function, 判别值. A5 z& ~& k8 n7 T. ]
Dispersion, 散布/分散度+ }* b+ j$ _2 r' `: X& O4 |2 V# i
Disproportional, 不成比例的 W* b: H4 F- `- Q
Disproportionate sub-class numbers, 不成比例次级组含量
5 I" [. [9 m# I4 gDistribution free, 分布无关性/免分布
4 Y3 N; a- s ^% W9 MDistribution shape, 分布形状8 F; J- O$ q+ F( V! }8 p& E5 ?
Distribution-free method, 任意分布法
9 z* w; R' C1 ?6 N4 y' {Distributive laws, 分配律6 `2 o, I" d6 G+ S) }
Disturbance, 随机扰动项% ^* X7 {' h) S& O: n6 |! E3 c
Dose response curve, 剂量反应曲线
; o; w1 Z: [9 K' dDouble blind method, 双盲法. O3 [9 T' ~8 z, y! a& B* M# _
Double blind trial, 双盲试验
% G' w6 E2 t- E8 l" Y/ VDouble exponential distribution, 双指数分布
! ^7 _" f3 `1 r0 l& HDouble logarithmic, 双对数
1 [, B! W, M% y' p( c0 ^& ZDownward rank, 降秩- n7 R+ w6 z! \" S0 c
Dual-space plot, 对偶空间图 V) |8 @; f& x) V' f
DUD, 无导数方法
. `1 {! f* m! V2 X" V! [Duncan's new multiple range method, 新复极差法/Duncan新法
, R3 R+ [$ R4 d$ R3 J% QEffect, 实验效应
. m6 B @1 V* D. ?* ~/ i w& M1 IEigenvalue, 特征值; Z& x" I% j. j1 n! B$ d
Eigenvector, 特征向量0 x8 Y) u: @& J
Ellipse, 椭圆# Z7 a! `$ S, u' I, E( Z
Empirical distribution, 经验分布
, P' A; p& J2 eEmpirical probability, 经验概率单位 l/ G) h/ ^; B) E- G$ @
Enumeration data, 计数资料5 q' E+ V% d/ _' ]# a" |
Equal sun-class number, 相等次级组含量) a7 { g7 h$ \* X* ?( U
Equally likely, 等可能! I! E/ w1 ]8 w6 R W" l/ M/ W
Equivariance, 同变性, M8 V% L( D, J. I9 c; y
Error, 误差/错误8 I( L3 I k% R6 z) Y$ \/ a4 u; p! ~
Error of estimate, 估计误差/ R' S! K- E' w5 c M8 E5 I
Error type I, 第一类错误
/ X9 ^- z9 o4 L( iError type II, 第二类错误4 p8 D7 R: m/ T% N6 |. A# [; ^
Estimand, 被估量
/ n9 F/ J8 T! ?6 CEstimated error mean squares, 估计误差均方
* d0 `( _! [$ G/ W8 EEstimated error sum of squares, 估计误差平方和
4 t3 |( n0 A9 O6 KEuclidean distance, 欧式距离 r8 o& n1 K1 u7 \
Event, 事件
, j! L" t2 P% |: E2 GEvent, 事件5 `1 W J+ J) E8 S
Exceptional data point, 异常数据点
: R( M( G; F) h0 c' O0 fExpectation plane, 期望平面0 S. v/ C$ r* e8 Q ^0 V7 v
Expectation surface, 期望曲面6 ^2 b- U& I5 N8 U% c- i/ t
Expected values, 期望值+ J! k6 E" z, d9 q# s) T1 F3 `+ U, c
Experiment, 实验4 f' \, |) p" k8 r6 m |- p' k1 y$ S
Experimental sampling, 试验抽样
" z8 L. @: B$ k$ e, r0 i- e( vExperimental unit, 试验单位) U& J* @* L# M( B1 |1 g
Explanatory variable, 说明变量
. ]# i) b2 V8 a/ x4 zExploratory data analysis, 探索性数据分析* Q* h, X! H' o# q9 [, e
Explore Summarize, 探索-摘要
. J W( Z2 t: ~1 _Exponential curve, 指数曲线, o* ^/ A: h) F; N- N; c
Exponential growth, 指数式增长5 E$ g- m, ]* \2 v1 Y
EXSMOOTH, 指数平滑方法
% r' Y u: P! K- ^6 z# DExtended fit, 扩充拟合
6 E9 T9 M$ L8 [/ E5 {9 eExtra parameter, 附加参数" J" Y1 c$ i. L6 ^! i
Extrapolation, 外推法; {8 [) S* |& d
Extreme observation, 末端观测值
$ l9 b; L% t- i4 G6 VExtremes, 极端值/极值: s9 K# h8 y8 i1 B' w
F distribution, F分布
3 e4 R/ G# u$ s1 M/ @F test, F检验( d _, L7 T$ E: R; {9 |
Factor, 因素/因子3 _; T y2 ^2 a, Z% C- q4 F: [
Factor analysis, 因子分析- W; d, ?; `9 }! l$ s& ^
Factor Analysis, 因子分析- m+ T! W3 l: [! x! Z
Factor score, 因子得分 ' q- D2 x( f3 i0 I2 C
Factorial, 阶乘6 H% H, l) ^) d5 _& M1 B
Factorial design, 析因试验设计" f8 |5 @* e* d4 n" E
False negative, 假阴性
& X, U9 h' H4 \8 `False negative error, 假阴性错误
- |) q/ a0 X3 W( QFamily of distributions, 分布族' Z2 ?; ^" ~2 y4 X! P. ^9 m
Family of estimators, 估计量族9 s! ?# r6 l: b' |" }8 b% I+ U
Fanning, 扇面
8 i0 a/ p9 D5 ~) i9 aFatality rate, 病死率+ p/ j$ N: r2 c/ m, I
Field investigation, 现场调查
1 ~) I+ O z# P& T$ ^5 T+ \: lField survey, 现场调查
9 H3 f' o8 N5 Z( [' v& pFinite population, 有限总体+ C" S C4 j. Z" F u- W
Finite-sample, 有限样本
8 R* Z) J' Q4 w' tFirst derivative, 一阶导数
- ]( Y8 x& T% g$ YFirst principal component, 第一主成分- L& s0 B1 J2 N
First quartile, 第一四分位数, A0 J* S/ o5 M9 _. w1 k) X
Fisher information, 费雪信息量0 j9 B a* I+ x1 o% k
Fitted value, 拟合值
6 C. z+ H1 S) }& T; Z) SFitting a curve, 曲线拟合# S% r0 ~. V1 e8 H1 N- X9 `7 I2 R. J1 j
Fixed base, 定基
5 b- ^, @5 Q; U! U/ hFluctuation, 随机起伏
, Y$ o0 \# P7 qForecast, 预测: }8 q* |8 X, r% ^0 w
Four fold table, 四格表
7 F9 b9 ^6 W* h+ i( Z& xFourth, 四分点
. O# l `; z3 ]5 p f$ A' qFraction blow, 左侧比率
3 |" ~ d; l# ]7 t; y/ GFractional error, 相对误差
3 W- D( Y8 F* lFrequency, 频率
4 Y# V( {- l5 v n/ m. fFrequency polygon, 频数多边图
$ g5 t% I* x# j9 R: ]4 [Frontier point, 界限点( Z S# Q& {4 M# f& V6 `* y
Function relationship, 泛函关系0 p* J* D+ _4 m8 w
Gamma distribution, 伽玛分布
7 G4 F3 i7 r0 m8 e! s3 r5 \* LGauss increment, 高斯增量
& U! w/ j" h" B5 T; f+ sGaussian distribution, 高斯分布/正态分布
g9 B1 f% b K3 pGauss-Newton increment, 高斯-牛顿增量' W. ^/ c9 X- p! u& d, R: D/ M
General census, 全面普查* ]8 k: j1 J. `1 ]
GENLOG (Generalized liner models), 广义线性模型 6 c0 ^% U$ Y1 f
Geometric mean, 几何平均数
, ]0 W! b( w' Q e/ A% Y; ~4 sGini's mean difference, 基尼均差
: M1 Y O j0 Q3 ~1 ~( uGLM (General liner models), 一般线性模型 + P7 u0 m0 E h8 m9 b' L5 _! c6 p
Goodness of fit, 拟和优度/配合度
8 f; H5 _, L5 y) n; N2 ?$ RGradient of determinant, 行列式的梯度! a4 _( a" l6 z
Graeco-Latin square, 希腊拉丁方1 K4 I1 F, ]8 @
Grand mean, 总均值' R( p7 M7 A" a4 p, f
Gross errors, 重大错误; N0 C$ i4 E0 \5 [
Gross-error sensitivity, 大错敏感度: t8 C( D( o. p$ ]* Y1 D+ S
Group averages, 分组平均( l& c$ P" q8 C. y
Grouped data, 分组资料! Z( r; A3 a) Z8 J9 F0 z' a
Guessed mean, 假定平均数
% p# }, C' B# |. u% K! wHalf-life, 半衰期
4 {. r; ]. w. Y! m5 @, z* jHampel M-estimators, 汉佩尔M估计量 ~/ j& {7 s5 D- q% z/ i t
Happenstance, 偶然事件
' ^% C& `0 M, O8 LHarmonic mean, 调和均数
# D p o8 C" ^Hazard function, 风险均数) X V/ t4 v \ k+ U* g( I7 ]
Hazard rate, 风险率
+ @1 A6 Y `+ B1 @4 Q8 a3 C. b. WHeading, 标目
7 P4 U" t6 ?; m, G) lHeavy-tailed distribution, 重尾分布
7 L$ T) C, M u/ h" THessian array, 海森立体阵
1 I; Y9 i6 q% EHeterogeneity, 不同质
' p6 g# G. L" M& \. g/ F GHeterogeneity of variance, 方差不齐 5 H- n Q3 k3 F$ B
Hierarchical classification, 组内分组
: r! R( c$ K+ I5 F2 f- M+ yHierarchical clustering method, 系统聚类法1 f+ m' c$ O. F. @
High-leverage point, 高杠杆率点 f A' p5 ~, d' R6 E5 ~
HILOGLINEAR, 多维列联表的层次对数线性模型1 p4 I+ y$ z4 ~& |7 c) [8 i g
Hinge, 折叶点
/ A9 D9 \" X; @' [* k8 U9 M4 JHistogram, 直方图
, W" y; N0 c7 ?9 q3 LHistorical cohort study, 历史性队列研究
1 i5 ]7 K- q9 Q/ \. N$ J5 V5 P3 ^) sHoles, 空洞: E+ m! G* a2 F8 K G p4 n
HOMALS, 多重响应分析/ x7 @8 r) q G4 n' ~; H( m
Homogeneity of variance, 方差齐性5 j" _1 i' U( }" X4 f3 w1 S
Homogeneity test, 齐性检验
1 L8 t1 v6 _- T+ j! PHuber M-estimators, 休伯M估计量* ^. M) I0 \0 ?) Q
Hyperbola, 双曲线
; F3 O0 q: `+ y9 SHypothesis testing, 假设检验1 m" m; f- P: U- a! b4 r! B2 Z
Hypothetical universe, 假设总体
0 T. ^& Q3 x) R, rImpossible event, 不可能事件
# r2 f4 _2 u( z* {3 Q8 g' DIndependence, 独立性
7 ^: V9 \" I( E) N* LIndependent variable, 自变量
- D6 N2 b- g* r, P# a+ fIndex, 指标/指数
/ g2 y* W: o: F- W# ]$ u6 |Indirect standardization, 间接标准化法
) \2 b+ I, ~, E/ g% A/ o* lIndividual, 个体7 k+ F7 F7 _8 u4 o# f
Inference band, 推断带
2 S4 A6 H4 W l4 lInfinite population, 无限总体
# U4 e F4 Z$ MInfinitely great, 无穷大; k4 ~+ N9 S! N3 W
Infinitely small, 无穷小$ M$ p- q. ?# g$ L/ M% ~+ }4 ?9 y
Influence curve, 影响曲线& i9 |: b1 S6 W5 k2 _/ p+ t
Information capacity, 信息容量
) e6 M9 {8 x( ?2 I2 w9 [7 z; sInitial condition, 初始条件7 \' y# ?/ d8 U. m* B. D
Initial estimate, 初始估计值
, n$ r% y' Z; m* x& ~0 {+ B& @8 h {- \Initial level, 最初水平& x7 I- @# i+ B. S9 e! g
Interaction, 交互作用9 L: ]; X& H- e. u
Interaction terms, 交互作用项
& S# k H! v# n/ m/ EIntercept, 截距
& V. S/ X" _- d6 I0 e$ Q% dInterpolation, 内插法2 |" a' J2 S" ^$ n9 s
Interquartile range, 四分位距- H& S" X6 b: h) [5 d2 \% z
Interval estimation, 区间估计. ]$ z+ X; ]$ x1 M: D8 {+ F
Intervals of equal probability, 等概率区间3 f" }6 B- j3 k4 N
Intrinsic curvature, 固有曲率
, t; k2 S m( O0 H" bInvariance, 不变性" d$ }7 Z+ G2 b
Inverse matrix, 逆矩阵
' O! U: p! |# J" v9 s( f3 F8 MInverse probability, 逆概率4 T" E0 G; Q% a
Inverse sine transformation, 反正弦变换
! ^4 `$ }8 ]9 xIteration, 迭代
$ z {4 ?/ L3 x. F: R& i+ OJacobian determinant, 雅可比行列式; ?: [( z; d( B7 E7 R
Joint distribution function, 分布函数& j! Z( f, V' _/ Q, s
Joint probability, 联合概率
9 }8 s8 T4 n9 O: G6 T1 J* GJoint probability distribution, 联合概率分布6 {4 G6 G/ D9 q8 F& g8 V* Q
K means method, 逐步聚类法* I; x9 H" K' U, [
Kaplan-Meier, 评估事件的时间长度
% x6 g& y; L w4 c7 ]+ J' f" @5 sKaplan-Merier chart, Kaplan-Merier图
- r/ u+ s& [/ BKendall's rank correlation, Kendall等级相关
1 }- c2 k' d* ?1 E+ t& L* ZKinetic, 动力学
. f+ X8 T5 S. ?( \% S) X' SKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验) J- j- j' Z$ P
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
0 D5 _% Y1 D% i8 p) Z" sKurtosis, 峰度
5 y, n+ A7 h5 s* L" zLack of fit, 失拟2 {1 F* L9 F/ o- G& T8 l
Ladder of powers, 幂阶梯
: h% E& ~) y+ B; C* W% yLag, 滞后2 F3 C& O5 L" j4 X" x
Large sample, 大样本: _; n" ^0 c2 u" e9 X; t
Large sample test, 大样本检验2 @8 K, O3 s# ^6 S. x% ^5 a8 g
Latin square, 拉丁方
; s7 C8 l) U/ ?0 s$ y/ X' ]& ~) |Latin square design, 拉丁方设计
1 }( O9 S9 I& ` m2 j% gLeakage, 泄漏
1 U9 m2 j+ I; @% ]/ }Least favorable configuration, 最不利构形
7 g9 a5 X& S" v, A+ j) jLeast favorable distribution, 最不利分布( j2 }0 k0 A- A( G! m$ a$ {
Least significant difference, 最小显著差法( e% C* n$ E# Y4 [" n" B6 V
Least square method, 最小二乘法# Z. i, n/ h6 o9 T
Least-absolute-residuals estimates, 最小绝对残差估计
5 S; F2 i* R f8 A% e* Y$ JLeast-absolute-residuals fit, 最小绝对残差拟合
& E8 w' n2 N& l' J8 H" e# _Least-absolute-residuals line, 最小绝对残差线
" {+ D% T! v6 w& }" L$ d8 B2 DLegend, 图例8 q2 G' Y. _! l6 t9 P
L-estimator, L估计量
8 x: Y1 S) r5 b* o4 k6 ?6 f% W5 b" xL-estimator of location, 位置L估计量% M# a5 M( c" w+ ]
L-estimator of scale, 尺度L估计量
8 [$ i4 m+ n7 n1 BLevel, 水平) N6 G1 c# Q, K$ a/ P$ C- [
Life expectance, 预期期望寿命" Q+ F# f7 ^2 s+ d
Life table, 寿命表
+ }2 w: \0 Z0 W7 Y9 E; R% t! xLife table method, 生命表法
4 M9 H( y, x4 ]5 R6 J/ xLight-tailed distribution, 轻尾分布* z$ I6 H; T0 \/ e ^
Likelihood function, 似然函数; U% _5 s {7 o" K
Likelihood ratio, 似然比4 v1 Y" k/ P; m6 Z( ~& N
line graph, 线图- |& P' U: \, Y3 O. N7 h, C( m3 K8 y
Linear correlation, 直线相关
" E' C# l# W& o5 eLinear equation, 线性方程
* W0 F/ P$ G: ~2 qLinear programming, 线性规划; n/ d' y) x# R, @* f/ _
Linear regression, 直线回归
: _: O$ p3 ?6 s; w2 fLinear Regression, 线性回归* }' l& t* b, _! `+ f
Linear trend, 线性趋势
T( X, L: `; A* SLoading, 载荷
' ?1 e/ Q& H, Y9 a, a: I1 g6 aLocation and scale equivariance, 位置尺度同变性2 P% ?, P+ ~8 j, k/ A( R
Location equivariance, 位置同变性
% j& e/ i5 t' ULocation invariance, 位置不变性
+ J1 a5 v& e4 Z" X" N0 H, SLocation scale family, 位置尺度族
" e1 k: T( L- s4 u- a) fLog rank test, 时序检验 . f2 A& Q( g2 u- h$ Z. b" R
Logarithmic curve, 对数曲线4 T; P- ^- F: Q, N! [2 l
Logarithmic normal distribution, 对数正态分布! O! ~; i- _( \& u4 L) O; @
Logarithmic scale, 对数尺度
) L! H2 O6 i! L9 e5 h1 D$ q* X% f9 ]Logarithmic transformation, 对数变换. v; q2 H9 v Y8 Y2 t |) E" e
Logic check, 逻辑检查# D/ {( i! Y' F3 B/ P1 L& F/ t: ?
Logistic distribution, 逻辑斯特分布
0 ~$ B: ?) m1 N3 ]: o9 ~ Z! zLogit transformation, Logit转换
% [/ R" Z% m; {4 Q# ULOGLINEAR, 多维列联表通用模型
$ [4 Y& W5 F% i. P9 `. SLognormal distribution, 对数正态分布 t- B6 ~. u6 o' f2 b% m; m
Lost function, 损失函数& t/ s" w1 s. W- K! z
Low correlation, 低度相关( k M9 C8 P+ Z$ g+ f' n
Lower limit, 下限 ~3 Y7 E# c. K5 {; w" i
Lowest-attained variance, 最小可达方差
2 \4 o( U& L" w! \6 s. l2 kLSD, 最小显著差法的简称. I" t3 E& D6 F! S
Lurking variable, 潜在变量
( p8 p7 F/ ~4 |2 ^7 yMain effect, 主效应. U+ t1 s1 }2 ?3 c( l
Major heading, 主辞标目
9 c& W, E+ K# n3 kMarginal density function, 边缘密度函数. Q9 ^1 j# h# Z! J: ?
Marginal probability, 边缘概率0 x, W7 @; f- [* z+ t; Q+ o; ^
Marginal probability distribution, 边缘概率分布+ {! T) f( T/ `
Matched data, 配对资料
1 V% | {/ Z5 C/ E8 \9 O! n' e% MMatched distribution, 匹配过分布
6 s4 o4 q$ X% A; RMatching of distribution, 分布的匹配
, i" f7 N- m2 A* R" K! xMatching of transformation, 变换的匹配
" k2 B# x8 B7 r" X- N2 mMathematical expectation, 数学期望* A2 N5 J! E9 t. i
Mathematical model, 数学模型
3 l2 I3 O( J$ c) { N+ N. nMaximum L-estimator, 极大极小L 估计量
8 O ]$ R# S! ~& SMaximum likelihood method, 最大似然法! r# j" _5 d \. h* m
Mean, 均数- o2 X6 X c9 @; u z" H$ z
Mean squares between groups, 组间均方
% t9 b! f9 U% H% v: E; iMean squares within group, 组内均方$ X, j& f( e0 [5 l6 x9 f9 L0 H1 o
Means (Compare means), 均值-均值比较
! z2 S1 d6 M, k3 eMedian, 中位数' Y/ Z5 i, W% Y+ p
Median effective dose, 半数效量
" a& I+ C4 ^; R# v2 lMedian lethal dose, 半数致死量
y- b. x; [4 G, m# ?) EMedian polish, 中位数平滑+ W% _9 n( Q/ q0 p
Median test, 中位数检验
8 Y2 B0 _3 l1 {( wMinimal sufficient statistic, 最小充分统计量
& Z: r8 `: ~6 L( e& x( YMinimum distance estimation, 最小距离估计
. o2 r: O7 ?- p7 L1 J' }) PMinimum effective dose, 最小有效量& t8 o2 t3 o+ w
Minimum lethal dose, 最小致死量
" f/ b1 G- R, \* N; {, ZMinimum variance estimator, 最小方差估计量
6 y" [5 F4 w8 _/ PMINITAB, 统计软件包
' `4 r- E% e4 ^Minor heading, 宾词标目/ s$ f- K# c4 N4 I8 Q. z
Missing data, 缺失值9 j2 F! u$ ~0 S6 I' \# ?2 o
Model specification, 模型的确定7 D5 y, ^# ]3 ^8 A
Modeling Statistics , 模型统计
% R- Q! D0 Q8 z0 TModels for outliers, 离群值模型( z: A! M( D" ]# a& k
Modifying the model, 模型的修正5 m- b" R+ h* y3 _
Modulus of continuity, 连续性模
0 y' d5 _) P5 {; Z% ?Morbidity, 发病率
0 ^2 c! J+ r" aMost favorable configuration, 最有利构形, c& {# _3 G! Y8 Q0 F% ]1 q! ~9 H
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
( B& p9 E; J7 u. K* y2 wMultinomial Logistic Regression , 多项逻辑斯蒂回归0 [ G" l, t1 {
Multiple comparison, 多重比较
. j" K7 K. E# \, `! Z6 @% g1 W& ~1 FMultiple correlation , 复相关
3 e2 v1 }2 W Z( G. q" ?- c% aMultiple covariance, 多元协方差9 V: u: }4 j0 B# x7 o& h
Multiple linear regression, 多元线性回归, j K# v" `3 v7 D& M" J+ \ r
Multiple response , 多重选项' p% {# @ F# y
Multiple solutions, 多解" ]" K Z z, Y
Multiplication theorem, 乘法定理2 @5 x5 l( {4 b4 E% P9 \4 j7 r0 q, U0 V
Multiresponse, 多元响应
. {2 Y; {7 b. R8 ?3 iMulti-stage sampling, 多阶段抽样! P- D3 O) @2 e* r
Multivariate T distribution, 多元T分布. M; K6 C9 O8 r. c' |9 d; J# @! p/ I
Mutual exclusive, 互不相容
8 `. { s5 z# d; KMutual independence, 互相独立
" P' p! V, E. l$ [- cNatural boundary, 自然边界; t* W3 ]2 E" M/ R& s# c* ~
Natural dead, 自然死亡; w/ c( P( y S- [% Z
Natural zero, 自然零
, r( J' _/ j6 \# a, [- zNegative correlation, 负相关/ g, C+ c; k, {7 v. u" H
Negative linear correlation, 负线性相关" e4 ?5 e6 K( q6 p, ^
Negatively skewed, 负偏
- |- {3 Z$ L. j6 C, H3 rNewman-Keuls method, q检验8 U- j0 V% r6 r
NK method, q检验
/ J2 t1 o8 i# `5 p% nNo statistical significance, 无统计意义0 N, u" u1 h1 i, A$ W5 |
Nominal variable, 名义变量
h: E; t1 T& _: W- {9 u, Z* INonconstancy of variability, 变异的非定常性/ P9 e% Y! v% y
Nonlinear regression, 非线性相关
( w2 x" U' U0 c5 o6 g& g: INonparametric statistics, 非参数统计
+ W" v, z7 q- lNonparametric test, 非参数检验
5 H/ Y. T: f" A* P6 o+ o( ]Nonparametric tests, 非参数检验: P o R: ~" p5 M+ M
Normal deviate, 正态离差6 L- L8 A& B0 U' z: o
Normal distribution, 正态分布& Z7 ~* j9 C5 m' }& Y6 i
Normal equation, 正规方程组
& d: t9 @1 g% Q* _/ J1 r, J$ ?; `Normal ranges, 正常范围
% I/ y+ z; j& jNormal value, 正常值
& w3 Y2 }9 h" X0 R* o3 QNuisance parameter, 多余参数/讨厌参数
' g/ F m6 u2 `: f6 W; m! ENull hypothesis, 无效假设
. k0 V/ z3 S$ f" kNumerical variable, 数值变量! X+ Y8 r' ` Y. Q& h: o# ?6 j" e
Objective function, 目标函数1 }+ z- o. k! B4 v* A3 }
Observation unit, 观察单位) o5 Z* y0 U9 {% p: D5 [: t5 d
Observed value, 观察值0 ]# y+ n- [/ m& R$ l: z) G6 W6 ]
One sided test, 单侧检验- m. x; d! U) `' a' g* j
One-way analysis of variance, 单因素方差分析
' V; G( m$ ]# |8 u2 ~, Q2 _* w8 cOneway ANOVA , 单因素方差分析( T! @1 ]) U. G7 e. w
Open sequential trial, 开放型序贯设计! r: f4 x2 F( P
Optrim, 优切尾+ `) A* R' g, L _% v. x
Optrim efficiency, 优切尾效率
% q. a5 F# o* m H" d3 L; ?- o( HOrder statistics, 顺序统计量
s6 r/ z0 X. T5 ]! kOrdered categories, 有序分类- v4 G% |5 n% |
Ordinal logistic regression , 序数逻辑斯蒂回归
2 _. M' H6 |' q2 a& fOrdinal variable, 有序变量
! W( `% F1 H8 C- @# QOrthogonal basis, 正交基# j. Y m( `- Q" [* w1 B2 \4 l
Orthogonal design, 正交试验设计4 \& Z+ h7 X7 ^7 h' K
Orthogonality conditions, 正交条件+ j E" L1 Q/ R, L& S, w& y
ORTHOPLAN, 正交设计
) [) T6 I2 r; L _Outlier cutoffs, 离群值截断点
7 p6 B6 g. i4 c1 T2 L: FOutliers, 极端值: e2 U) a, A7 |" I0 ]
OVERALS , 多组变量的非线性正规相关 % _7 ~* D, F1 B u* w
Overshoot, 迭代过度
6 p! X5 b- [7 o) mPaired design, 配对设计6 [7 P: d! W$ r+ a- W; z7 J; E
Paired sample, 配对样本0 s/ T4 i/ K1 o; ]4 W
Pairwise slopes, 成对斜率
$ W) g, b/ T5 i0 }1 M: M, V( `, H( WParabola, 抛物线
0 B) R! r& Y$ R8 L N8 U5 {Parallel tests, 平行试验3 u+ j. F, D7 Q" S% F, \. _
Parameter, 参数5 _% w1 r# s8 f, a, y6 U5 n G* K
Parametric statistics, 参数统计
5 s, ]2 t" c# a0 ^, ?) s1 qParametric test, 参数检验
$ ]3 L, X( U8 \. K% z8 K' S3 NPartial correlation, 偏相关
@% b7 ?4 b' VPartial regression, 偏回归
1 `! \6 j5 r `Partial sorting, 偏排序9 R( s- L* q5 O9 V5 R4 j1 D: @
Partials residuals, 偏残差+ j+ p4 I/ |; ?% Z6 H
Pattern, 模式
$ |/ q$ l$ e, o* z' {) N) IPearson curves, 皮尔逊曲线0 a2 D# W* l+ w: h4 X# Y& n
Peeling, 退层
8 D$ x- w/ L5 L: e" [Percent bar graph, 百分条形图: v: K( a% g* p# x4 O& q( V
Percentage, 百分比% _) V2 v9 N8 w1 d6 M/ ~* C6 L
Percentile, 百分位数- J( Y8 i3 E# L
Percentile curves, 百分位曲线
8 \) L$ C3 |% ]& c: V. SPeriodicity, 周期性
( d, d1 j1 n" U9 H9 ePermutation, 排列
( f9 z& A! F) oP-estimator, P估计量
: b6 B. O) @' V+ J; x2 `Pie graph, 饼图1 `: U2 m4 t G( I1 i: _
Pitman estimator, 皮特曼估计量
2 P1 C1 d, b$ r5 U7 `1 e) o% KPivot, 枢轴量* E3 f+ Z2 B4 c, H" K/ W9 Y
Planar, 平坦
0 ^& y/ B. B" A( c9 c8 [Planar assumption, 平面的假设
# D8 t! j Y0 B4 O6 I: ?* JPLANCARDS, 生成试验的计划卡
V& S q! A+ K! \7 CPoint estimation, 点估计( Z5 _9 f& Y2 I" r. N
Poisson distribution, 泊松分布
3 w7 o* A N1 R0 g, d( H' ePolishing, 平滑
1 ?1 c, N' W0 r; [: ^/ dPolled standard deviation, 合并标准差
4 ~! p$ Z q9 B6 @: ZPolled variance, 合并方差: M! R e% E& u: i+ O- w& X, l
Polygon, 多边图
* N; V' t# h! Z( RPolynomial, 多项式
2 ]' k) G- W7 C2 [Polynomial curve, 多项式曲线
$ k0 J! c8 t" V7 M# }& |5 k1 i* FPopulation, 总体
! ~; R2 z" f# I$ r& z" q" z3 y$ yPopulation attributable risk, 人群归因危险度
5 M, R9 F* k* p0 }4 [) g- J0 _) vPositive correlation, 正相关
0 U. l( Q* w* E1 j4 p" ^1 N8 cPositively skewed, 正偏' K5 v# h% l8 b9 ^
Posterior distribution, 后验分布
/ L7 d/ e, s' N$ J5 r1 }7 DPower of a test, 检验效能( P! m' M& P5 Y8 [2 K( E7 Z6 S
Precision, 精密度5 U5 d T: I' p1 h
Predicted value, 预测值
- N: H R8 d5 x' ]0 qPreliminary analysis, 预备性分析
, T3 B2 K& `) h& Q' ^4 O! z' IPrincipal component analysis, 主成分分析 {( w+ E3 A7 @, ~
Prior distribution, 先验分布
* \% G/ F& N) k& U" cPrior probability, 先验概率9 O) I3 }) }) r8 j8 \
Probabilistic model, 概率模型
/ c: k- `/ C! {% hprobability, 概率& K( U: C# R: I0 q$ O- s9 D. A
Probability density, 概率密度
2 g- m+ M9 O wProduct moment, 乘积矩/协方差) m2 _# ~( |0 e5 u* S
Profile trace, 截面迹图6 P( H5 r8 d/ U M* @3 ]
Proportion, 比/构成比# u4 v, _8 G! _/ G1 f0 `
Proportion allocation in stratified random sampling, 按比例分层随机抽样
" @1 _7 \' T2 LProportionate, 成比例
& t# t) z( |" kProportionate sub-class numbers, 成比例次级组含量
5 P- ]& ?0 x0 j0 [2 wProspective study, 前瞻性调查
$ O1 H$ \. u8 d+ X* _Proximities, 亲近性
' }3 `0 G( {: D( ^3 `+ j9 }Pseudo F test, 近似F检验
6 r5 y7 R$ U4 C& ~' xPseudo model, 近似模型
; F% B3 b: b, k, Y) S$ A i1 qPseudosigma, 伪标准差) m. R c6 t; c7 ?) Y, p
Purposive sampling, 有目的抽样) F8 s0 |! b0 k$ X' ]4 i$ ^
QR decomposition, QR分解9 \+ \+ F! Z( C& m* h
Quadratic approximation, 二次近似5 d& a0 Z$ i2 q( h# o3 a, l
Qualitative classification, 属性分类5 U: e* R' k# j% z. t9 G& d, j# n0 C8 _
Qualitative method, 定性方法3 ]* j9 o& S9 v4 _' {( a9 @; S( v
Quantile-quantile plot, 分位数-分位数图/Q-Q图$ |; P. _1 o1 W6 ^
Quantitative analysis, 定量分析
# U) U, Q2 G) |6 B9 lQuartile, 四分位数
$ @' T+ s. r) X* F- O( {- uQuick Cluster, 快速聚类& X3 g3 w. r" _2 x8 F! v
Radix sort, 基数排序/ E. r( d, W1 l: f6 V
Random allocation, 随机化分组
2 T9 q% m* J% i7 oRandom blocks design, 随机区组设计
4 u- \6 X; J2 U; e& BRandom event, 随机事件1 R( }$ t3 @" M1 e% I; \
Randomization, 随机化$ d, E( c1 G1 k5 U% L! e# z
Range, 极差/全距
7 ^, S2 _+ U" J; w" V2 ~7 V+ vRank correlation, 等级相关
- o: g1 o% T, c- ?6 R) k5 VRank sum test, 秩和检验
: Q5 U l% F7 P" v+ B, m* ~Rank test, 秩检验
0 j* j/ \0 h. T. I6 \9 SRanked data, 等级资料& y" b6 f, e, F$ u" G
Rate, 比率
6 Y9 K- R' K3 a/ _6 v1 F6 mRatio, 比例
( ^) v' d* e$ |' `( L2 BRaw data, 原始资料
6 A. m( F: Y# Y! O) n/ lRaw residual, 原始残差: V9 x6 F: p+ _) k
Rayleigh's test, 雷氏检验
y: u/ f* _- B: cRayleigh's Z, 雷氏Z值 - e" Z" c& u) L9 J% `
Reciprocal, 倒数 x; R+ U2 V& R1 T* I0 \9 U
Reciprocal transformation, 倒数变换: c: J7 z' j5 ]1 O5 D8 o
Recording, 记录( y3 t; `$ ~* n( q; G
Redescending estimators, 回降估计量( L* l# e9 O- h% b1 Z* f. h
Reducing dimensions, 降维
# l J, L0 Q) W/ ^9 [- `. hRe-expression, 重新表达* e5 L; |. G2 K6 y+ v
Reference set, 标准组
; `0 Y" [( |5 K( z7 j2 CRegion of acceptance, 接受域7 y, i) u* Q" x
Regression coefficient, 回归系数
- j/ r7 F4 W0 L: @Regression sum of square, 回归平方和
! M0 M% C4 z v: n) }& h0 ~Rejection point, 拒绝点
% r: [4 v3 N5 p3 V7 R0 z2 ~, W$ m4 ?Relative dispersion, 相对离散度: U3 b! {4 S3 B' Y/ y- D" G
Relative number, 相对数$ F- q1 A [; S; u6 e
Reliability, 可靠性( B' d, {: P& L4 w' P; r0 L
Reparametrization, 重新设置参数( N1 I' b5 E% z' j+ N. z
Replication, 重复- ^$ i$ `' v- i/ S0 K7 Z
Report Summaries, 报告摘要
% H# e w: r# GResidual sum of square, 剩余平方和
" B6 ] ?- d. D3 c1 P# XResistance, 耐抗性: W7 W& L/ Y, P+ H" @2 R
Resistant line, 耐抗线' A( g* i K6 O# B' Y0 K' c
Resistant technique, 耐抗技术6 @; v6 z b6 [- {1 b
R-estimator of location, 位置R估计量# z5 X# {; F2 a
R-estimator of scale, 尺度R估计量! x2 m; ?1 z) t& M+ Y* j o
Retrospective study, 回顾性调查
" M* O: W9 t2 JRidge trace, 岭迹
' ]7 b* y: D0 h6 z+ t% qRidit analysis, Ridit分析
' l5 H2 c' S4 g3 }- `Rotation, 旋转
8 x' W- M# q" M$ a! l% N: u! G( kRounding, 舍入
2 v5 R! S3 a$ x8 ^* K, a, xRow, 行' s- d* p) x. M# V# i. f
Row effects, 行效应
! ^- h8 O' e0 p8 CRow factor, 行因素7 ~6 Q8 S- g) G( e
RXC table, RXC表
6 w& G+ g; s* C' G. Y6 J1 o; ~6 lSample, 样本9 u' E u- }% N
Sample regression coefficient, 样本回归系数3 W) v0 \" G6 V# ~3 b9 ~
Sample size, 样本量% D( {" g& D( u6 y% h9 ?$ ]8 k) z: l
Sample standard deviation, 样本标准差( V; L4 b0 k5 E
Sampling error, 抽样误差
2 w; a& }" F1 ySAS(Statistical analysis system ), SAS统计软件包, a/ A- L: D4 w" v: e/ e- U
Scale, 尺度/量表
5 @' q" M) m* XScatter diagram, 散点图( F$ H, }8 m8 Y# ?
Schematic plot, 示意图/简图 e) H. S8 C- c' b
Score test, 计分检验
. ?1 Y4 K0 u! r, f( C$ NScreening, 筛检) l* Y, E! V( M3 W$ G6 O$ g8 d
SEASON, 季节分析
0 j; V+ G0 }3 H' w( E% K# SSecond derivative, 二阶导数5 [4 }/ Y1 d9 n o$ k3 x* c
Second principal component, 第二主成分- a% s: u6 R% M) _. }
SEM (Structural equation modeling), 结构化方程模型 4 m4 t- ]/ z+ N( d5 l
Semi-logarithmic graph, 半对数图
7 y$ Z' d J# k# tSemi-logarithmic paper, 半对数格纸! | n S8 ] N2 ^/ c; ^8 B
Sensitivity curve, 敏感度曲线
5 p5 \3 b$ ~. x! n, D: X. m3 OSequential analysis, 贯序分析4 V# D& A/ z3 @
Sequential data set, 顺序数据集6 T8 o! i- L) j$ ~- g% t
Sequential design, 贯序设计
, z/ Q6 b: W: w! \Sequential method, 贯序法! ?* s) E* _ |8 b3 Z3 ~
Sequential test, 贯序检验法
- p! X0 r- G8 lSerial tests, 系列试验
8 V" m0 |1 L2 m. g' yShort-cut method, 简捷法
; g6 m) q. \& cSigmoid curve, S形曲线
# g: `8 x; Y& e( K* v D2 N( ZSign function, 正负号函数$ y! I3 W0 q7 ]8 O3 T. G m
Sign test, 符号检验
- f$ y: p' A3 k$ d" b' N8 [Signed rank, 符号秩
5 O2 V* R9 ^ t+ _Significance test, 显著性检验. a2 x1 D4 k. ^& U0 i2 P( y
Significant figure, 有效数字
M+ g$ R! _( p1 ]Simple cluster sampling, 简单整群抽样8 p9 ^# ^& n- X, A5 k9 [ N. {7 |
Simple correlation, 简单相关
7 x3 E8 T. v) V: l% o1 z& sSimple random sampling, 简单随机抽样
. t+ V3 B9 ]! u eSimple regression, 简单回归
. O% g% c5 W3 j# @4 \. \9 Osimple table, 简单表4 E) j; ^$ `# l7 m+ r S. i
Sine estimator, 正弦估计量# H+ T2 }/ _9 e& {: ?
Single-valued estimate, 单值估计0 ?" v9 G; X8 Y
Singular matrix, 奇异矩阵9 L$ D- P _- b
Skewed distribution, 偏斜分布
2 o2 |. w: j3 o$ ?3 rSkewness, 偏度( P6 k9 v: s' K
Slash distribution, 斜线分布; h `3 X4 F" S5 Y: q
Slope, 斜率: c/ y% J. l' o
Smirnov test, 斯米尔诺夫检验8 \/ a Z* U! C$ T; i* D1 g
Source of variation, 变异来源; e% T/ a( G5 }& l3 P# P9 H
Spearman rank correlation, 斯皮尔曼等级相关: T& b( _/ ? w/ y
Specific factor, 特殊因子2 [! P" ]4 Y! |
Specific factor variance, 特殊因子方差/ J$ A) v( A9 s; }2 Y9 P; o4 G
Spectra , 频谱, [; c0 Y: _8 b' W d7 b* y
Spherical distribution, 球型正态分布, q7 @# M' A1 z7 E- ?: h1 V+ Z
Spread, 展布! }' X0 m, j. J& |& }
SPSS(Statistical package for the social science), SPSS统计软件包
% C) ~' }' a! Z2 N( YSpurious correlation, 假性相关9 G1 B, V- k/ v8 \4 n$ Q0 |
Square root transformation, 平方根变换$ ~5 ]% \9 w, v/ N, Y
Stabilizing variance, 稳定方差/ d, U+ `5 G' n$ A
Standard deviation, 标准差
0 y. X; k3 h$ W1 I$ b8 l' p6 gStandard error, 标准误
, |, p& u J9 T1 I' b$ lStandard error of difference, 差别的标准误
. O7 M! C5 L8 [Standard error of estimate, 标准估计误差4 G/ c! _) S* r0 _- N
Standard error of rate, 率的标准误
; ^$ J7 v5 S7 H6 C: VStandard normal distribution, 标准正态分布
& ]3 g6 m! M# H8 r+ l5 {$ C4 DStandardization, 标准化
( _: x7 R6 y) S. IStarting value, 起始值
6 h7 X; ]( ^. x1 o* n' C2 DStatistic, 统计量7 p: v' k0 D3 l
Statistical control, 统计控制( Z+ C1 T1 c: j
Statistical graph, 统计图2 }6 z. y# b% a' `% X
Statistical inference, 统计推断
" e8 s! \+ h8 RStatistical table, 统计表
* ], u2 G+ i1 P4 V S: |0 zSteepest descent, 最速下降法8 m# _0 T2 X# u( D
Stem and leaf display, 茎叶图
5 ^0 |! @$ P$ q8 V9 `% Q4 yStep factor, 步长因子
" b$ T7 C3 x" A8 A$ iStepwise regression, 逐步回归/ c4 b3 w1 r& l" A4 |1 o
Storage, 存+ t) _( v7 f# w5 E
Strata, 层（复数）4 G* A. W8 W7 V# P* b
Stratified sampling, 分层抽样
9 K0 x9 U6 u7 |) {& E6 A1 u m: jStratified sampling, 分层抽样$ ?: G. d: l/ o, j% E
Strength, 强度
2 t: y, k1 }9 Z( e. k1 E$ Q JStringency, 严密性
, a% w6 l' E7 n# u5 p& e ^9 Q3 EStructural relationship, 结构关系1 v5 i; T, p6 `, q. C
Studentized residual, 学生化残差/t化残差
1 ^0 ]$ a4 z% D4 Q k7 Z% uSub-class numbers, 次级组含量' O E" f) C& H; p% ?
Subdividing, 分割
6 |# s5 x; l$ [9 f3 hSufficient statistic, 充分统计量
J3 L4 F* p# Y5 mSum of products, 积和
0 e, q$ S* [" D0 C y( ?$ p' a% ~Sum of squares, 离差平方和
2 m, I% w. W I& D# USum of squares about regression, 回归平方和; s2 F) ], B9 e% X
Sum of squares between groups, 组间平方和' r0 p1 D2 t) {6 m
Sum of squares of partial regression, 偏回归平方和
7 t& Z# c. s0 l4 O" W8 `4 a+ K/ {9 `0 }Sure event, 必然事件0 g- r2 Y4 I$ D$ h, m% U
Survey, 调查
1 B+ q; w+ r; n5 h, vSurvival, 生存分析9 c9 Q/ D/ \* L2 e+ |* n A7 s4 F: [
Survival rate, 生存率
E3 Z2 m! P8 h1 E8 USuspended root gram, 悬吊根图
! V- M6 I) e! RSymmetry, 对称% o: A- _2 H( d" Z
Systematic error, 系统误差" s! E, s% {9 h& d$ w! o( ]5 K
Systematic sampling, 系统抽样
- t, ~2 A% \5 S# v$ jTags, 标签
1 C( Z" z( S6 {) m2 lTail area, 尾部面积
. k, C# s0 b l. l. _Tail length, 尾长3 |7 F* m, |5 c0 A; o
Tail weight, 尾重
B0 E. K' X+ Y; S0 OTangent line, 切线
6 a5 E1 D2 n: G+ U1 eTarget distribution, 目标分布
! Q! E$ u3 E3 x dTaylor series, 泰勒级数
8 b1 [& \8 F0 A: i. J; qTendency of dispersion, 离散趋势9 c8 H/ T! h6 G% t+ a9 C) ~6 U: r1 J
Testing of hypotheses, 假设检验
/ O5 z' d4 l3 C5 u- c7 L6 LTheoretical frequency, 理论频数0 S6 M$ e, A1 J- W
Time series, 时间序列
& R/ [+ G! c2 {; I3 W7 B ETolerance interval, 容忍区间
( U2 E0 C2 o( p9 F( j6 B; Q3 BTolerance lower limit, 容忍下限0 O; L4 Z6 _! @0 y8 P" ?
Tolerance upper limit, 容忍上限( _) r$ Q( A; v- i
Torsion, 扰率
- I' B7 Y, M' u* l0 x" Q9 n' ^Total sum of square, 总平方和
# { ?1 G. T( A( T0 m: PTotal variation, 总变异0 l7 P* i2 J' w4 E' a$ l
Transformation, 转换- _/ c5 `! D2 z9 m/ B7 v! h; T; l
Treatment, 处理
0 c- b9 N; g a8 Q1 w# STrend, 趋势
' |2 @+ r0 C% h$ N VTrend of percentage, 百分比趋势$ s2 L# C, S; Z7 Z- U
Trial, 试验+ C8 E" E: ?# r9 U
Trial and error method, 试错法' L$ f( q; |7 a& s
Tuning constant, 细调常数
. l& ~( H4 k# C& M8 ?1 ~5 |0 Q3 _Two sided test, 双向检验% R! H9 `% t, L5 d3 |
Two-stage least squares, 二阶最小平方
( y q" t" V) N% N4 ^Two-stage sampling, 二阶段抽样3 I5 n+ u) V' H7 E
Two-tailed test, 双侧检验1 T8 c4 F# f, Y a
Two-way analysis of variance, 双因素方差分析7 W `* t: _( u; ^9 l( x5 A9 l
Two-way table, 双向表! C; z" A# b$ s' c% u7 U( V3 \
Type I error, 一类错误/α错误
' [0 |( ^3 [9 c( D2 o2 fType II error, 二类错误/β错误. [& @2 C0 I' Y8 v
UMVU, 方差一致最小无偏估计简称" z4 l. q! U* b8 a
Unbiased estimate, 无偏估计
; _" F8 @% D- |Unconstrained nonlinear regression , 无约束非线性回归9 c" u; Q6 H+ ?' g* d
Unequal subclass number, 不等次级组含量 `7 R8 ^) J; B. p" Y
Ungrouped data, 不分组资料
`: C5 V7 {% h0 qUniform coordinate, 均匀坐标
0 W7 H9 ]. Q% ]% |% E$ ]$ nUniform distribution, 均匀分布2 J* I) p7 K' n! U2 U9 d
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
; U9 E. {% q/ y0 d( G5 [! FUnit, 单元
\% l3 K2 W8 ]4 f* L, ?7 b5 }Unordered categories, 无序分类- ]; i. D7 W- b
Upper limit, 上限) m+ l* w+ X9 j, J
Upward rank, 升秩
4 ~9 Y1 {3 l5 QVague concept, 模糊概念
" T5 _5 F4 b% H) X) S: F2 ]Validity, 有效性. V4 U; ?( M- Z5 ?
VARCOMP (Variance component estimation), 方差元素估计3 C* s6 y9 B: k
Variability, 变异性
1 ]; n9 H; W/ y) \( I1 N/ e- |Variable, 变量' I5 ~: A9 c7 |! n% D j
Variance, 方差; |- `" i3 Y6 y8 G6 s7 a
Variation, 变异
7 z6 U" W/ ~+ e* v" f- n9 c- T1 u5 D2 @0 fVarimax orthogonal rotation, 方差最大正交旋转1 s- [4 i6 U- p* Y2 Y
Volume of distribution, 容积5 P8 T& ^, c0 a
W test, W检验0 L. J* Q( \( o: ~/ M% J
Weibull distribution, 威布尔分布 L e% P8 z9 Z& T$ G! d
Weight, 权数; A, S. L; H! _
Weighted Chi-square test, 加权卡方检验/Cochran检验3 o3 l- ?( D) d& A0 d5 D0 F$ A& h% Y
Weighted linear regression method, 加权直线回归7 q2 T. W& ^6 o* `9 r( ~$ l
Weighted mean, 加权平均数! O& T9 i' q4 `/ V: B
Weighted mean square, 加权平均方差
7 [( B2 m" {8 f* F* {4 y* ]! KWeighted sum of square, 加权平方和/ t1 Y4 A6 S* H' ]8 A
Weighting coefficient, 权重系数' F0 |! t @7 B; G
Weighting method, 加权法 ) u- S: U. p5 `% \8 |- u: f6 e& f
W-estimation, W估计量0 v% \2 Q( |& @( J. L4 N* X
W-estimation of location, 位置W估计量9 m9 R' @! M+ ^# w
Width, 宽度
4 f. u9 R! F! H; r8 n5 ~. pWilcoxon paired test, 威斯康星配对法/配对符号秩和检验3 o' G& G# R5 I7 E- ^( Q
Wild point, 野点/狂点" E( ~& u* ?5 s4 ]7 M3 f' S: ? G
Wild value, 野值/狂值
& b1 }: S+ ^' [Winsorized mean, 缩尾均值
9 e# O2 e2 j0 h5 MWithdraw, 失访
2 Y% D1 X% m* Q8 {Youden's index, 尤登指数: u$ |& ?) I; o/ m- C
Z test, Z检验+ x. W3 s0 J1 k9 d
Zero correlation, 零相关$ e) n+ i3 s( x. T" r
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
