|
|
Absolute deviation, 绝对离差
! n8 S- n3 v: W5 NAbsolute number, 绝对数
, w, B1 _- {- W/ m+ h+ cAbsolute residuals, 绝对残差- L Z- a* S; \1 q
Acceleration array, 加速度立体阵8 n, \+ _/ t% j& @3 b2 M5 ~0 I
Acceleration in an arbitrary direction, 任意方向上的加速度0 ?7 o- b+ a" |9 N3 h4 n
Acceleration normal, 法向加速度( r6 f+ A/ g/ a! o9 V3 ^
Acceleration space dimension, 加速度空间的维数- r) P- S7 e# p0 l+ b
Acceleration tangential, 切向加速度( O* b" G4 [, U
Acceleration vector, 加速度向量
2 Z+ [1 c# N1 G- J/ L D WAcceptable hypothesis, 可接受假设: H. z8 x* {5 o6 c3 E: r ]' n
Accumulation, 累积
* Z4 j% D/ [" m# J( C; lAccuracy, 准确度
, X6 }' f, j0 z. L/ ]- C, b/ u5 UActual frequency, 实际频数
0 U$ R ~0 Y' |2 g- {# G2 H3 |( f2 IAdaptive estimator, 自适应估计量
; x+ {' m2 m2 y1 }Addition, 相加
- V" V6 R3 R" ~( GAddition theorem, 加法定理' h3 i' h5 H3 @7 k- A
Additivity, 可加性
# V4 S: X- G$ \. w* kAdjusted rate, 调整率
, z, v, I. c! T7 DAdjusted value, 校正值
5 |( o" }9 T7 K3 j0 |Admissible error, 容许误差2 ~) y; }* z" V) B. t% Z5 e8 D
Aggregation, 聚集性
8 G* j1 M: E" |7 q8 ]Alternative hypothesis, 备择假设
' m! L" l2 R6 Y; d0 LAmong groups, 组间
' v: |1 C1 X. P1 [0 RAmounts, 总量
8 f# m# i6 s+ HAnalysis of correlation, 相关分析) N3 n5 ]+ {9 L5 v% `; y
Analysis of covariance, 协方差分析0 g& k Q) ]3 X3 Y0 a+ B3 Z
Analysis of regression, 回归分析+ z8 Y1 A3 A4 d; p
Analysis of time series, 时间序列分析
: Q0 p0 p% t8 P6 L" BAnalysis of variance, 方差分析9 M+ I1 V7 o. m2 M2 a! c# Q
Angular transformation, 角转换 y+ z: h/ v( t4 r% J! o: Z9 {0 E
ANOVA （analysis of variance）, 方差分析
]3 G& Q* ~9 k# TANOVA Models, 方差分析模型
% Q- [. Y0 D% kArcing, 弧/弧旋* L, `1 @1 b$ B. I0 f1 F
Arcsine transformation, 反正弦变换+ i' C( h2 h, c
Area under the curve, 曲线面积" {; l& D2 `: H# R
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
/ d: c6 T! `6 y' Q* F$ dARIMA, 季节和非季节性单变量模型的极大似然估计
/ G; H& F W9 W% UArithmetic grid paper, 算术格纸
- U: i: {3 t P1 N/ dArithmetic mean, 算术平均数
1 m8 L' ]+ O2 W U/ o# ?Arrhenius relation, 艾恩尼斯关系
# r) y- F4 X) i0 o8 e( KAssessing fit, 拟合的评估
* t" X7 i- X) X& S7 I8 tAssociative laws, 结合律
N3 p0 g0 ?; O+ FAsymmetric distribution, 非对称分布+ ^& L9 o7 [( k$ |
Asymptotic bias, 渐近偏倚
6 r" a* Y$ g" ?. q' D# p/ yAsymptotic efficiency, 渐近效率
6 N: A( u0 |7 ^* f! U3 q. s" lAsymptotic variance, 渐近方差) g4 n1 s" \' x1 V
Attributable risk, 归因危险度0 d8 n$ v K0 `" V! O# {
Attribute data, 属性资料
* Y% F$ H: {& ^7 v( fAttribution, 属性+ d0 K2 [& x6 w
Autocorrelation, 自相关
; e" f% r1 V5 w( E6 S: ?$ wAutocorrelation of residuals, 残差的自相关
4 ~: j4 E/ ?0 t# p1 \6 y( {& e1 xAverage, 平均数* @4 s1 c0 I) h7 A
Average confidence interval length, 平均置信区间长度% \2 P" \, g& e" K/ n5 c
Average growth rate, 平均增长率# B$ ~+ C7 U+ \/ e" L
Bar chart, 条形图
: [% A7 a9 o" }% H0 i; }Bar graph, 条形图: V; R3 v/ ^+ Y5 `$ H% f; D% ^6 u
Base period, 基期2 k/ j. r) W( Y, K$ _
Bayes' theorem , Bayes定理; w6 E* L# @9 ?% `2 U4 y/ o
Bell-shaped curve, 钟形曲线6 Y0 }; X/ X2 E' o% b) A
Bernoulli distribution, 伯努力分布
1 J5 N! r0 i1 C) v; X5 q' c1 JBest-trim estimator, 最好切尾估计量
4 x' \ f5 {. Y" E& ~Bias, 偏性
3 |6 h& D1 f7 z! nBinary logistic regression, 二元逻辑斯蒂回归
0 o! p. I3 B' n2 ?5 ~. S0 l. dBinomial distribution, 二项分布
7 U" ?, }; u* [9 Y1 Z, jBisquare, 双平方
) ~! a: C/ ^$ r! ~% WBivariate Correlate, 二变量相关
- }- ?! [# ]$ y5 P4 r0 o P, H% YBivariate normal distribution, 双变量正态分布* C3 A: ~( t8 k* _1 q5 S9 |0 o) v
Bivariate normal population, 双变量正态总体5 T% {4 o- t5 f6 r/ u$ X2 Q7 C
Biweight interval, 双权区间, S' K8 j! A# V+ U* j7 c, Q# }( n
Biweight M-estimator, 双权M估计量# ]& P0 v) @" b3 Z
Block, 区组/配伍组
+ `; A" c/ G. J0 }: U4 k7 |) UBMDP(Biomedical computer programs), BMDP统计软件包
1 }" K0 L8 h pBoxplots, 箱线图/箱尾图 _. F. ], `4 ?0 e) d- r
Breakdown bound, 崩溃界/崩溃点
5 z' W5 j0 F6 [' @$ y/ ECanonical correlation, 典型相关
* Q6 H' l* [ rCaption, 纵标目( T1 g. i3 g! a6 j0 k
Case-control study, 病例对照研究1 r4 a! z4 D2 Q. a* ~0 X
Categorical variable, 分类变量3 `+ V' z( e: b# v, F9 F6 D
Catenary, 悬链线
3 z4 |5 y( x/ i7 A$ xCauchy distribution, 柯西分布
- d( \. [2 R$ I/ U6 b; [Cause-and-effect relationship, 因果关系1 G f0 J% l% M# K
Cell, 单元7 B& W, R) |- @5 c( m4 y1 M
Censoring, 终检+ ?" g9 {2 [) S0 _ t; n' f7 f
Center of symmetry, 对称中心
# {6 D$ F2 i. R& lCentering and scaling, 中心化和定标
* |9 G, @ B& Q7 c1 s3 QCentral tendency, 集中趋势
' X0 U+ J+ r& P1 f* o4 R8 n# k: LCentral value, 中心值
9 {8 ^5 x/ |$ H4 d& k% {8 @CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测: Q5 W+ N6 }0 B! r2 a
Chance, 机遇; C! I- G! B8 n. x8 ]" Y. q# o; T1 {
Chance error, 随机误差
) l6 V4 P0 P; k8 o/ w$ M7 zChance variable, 随机变量8 _, J1 Z' Y/ d
Characteristic equation, 特征方程
. C( M1 D9 @! Y0 jCharacteristic root, 特征根
- D! q2 W" W8 G. n3 H+ P" KCharacteristic vector, 特征向量3 q- [( O+ {0 F
Chebshev criterion of fit, 拟合的切比雪夫准则$ o3 \$ N9 i9 z' p
Chernoff faces, 切尔诺夫脸谱图
" U: k0 |- g- v$ Q( }/ sChi-square test, 卡方检验/χ2检验
8 R( t! y" m$ FCholeskey decomposition, 乔洛斯基分解$ P$ I) C$ ?/ Y1 m1 r
Circle chart, 圆图 $ K' Y+ D( j8 K* m/ U
Class interval, 组距
2 j+ K" x# G. R* K5 @8 Y9 H: `Class mid-value, 组中值
6 }/ }' v! ]) dClass upper limit, 组上限
: F: C+ c/ t/ k, UClassified variable, 分类变量3 P; S8 m- c n6 u
Cluster analysis, 聚类分析
4 C7 H0 J! p7 L# y, @6 T0 bCluster sampling, 整群抽样
* K, X0 j" @" |& U CCode, 代码
# N. n: X6 b8 WCoded data, 编码数据
# W7 R# c- A5 \6 l1 \$ L" x9 H* B5 ^+ TCoding, 编码
6 |0 D3 [2 Q8 B. vCoefficient of contingency, 列联系数' }0 o s% z. V
Coefficient of determination, 决定系数
4 M1 s) `& t# a9 jCoefficient of multiple correlation, 多重相关系数
6 R |! h$ ?$ F, x- m3 A0 rCoefficient of partial correlation, 偏相关系数! P. m9 t8 G8 }+ f
Coefficient of production-moment correlation, 积差相关系数# [: t, J! a4 F4 G. ]% D
Coefficient of rank correlation, 等级相关系数& w: P4 h v# n3 w1 a8 y/ W- [
Coefficient of regression, 回归系数
4 q1 u5 D/ e: }4 x3 k* YCoefficient of skewness, 偏度系数
+ L- n- o$ d; Z, JCoefficient of variation, 变异系数; W$ |6 b; E8 y- V% r2 e" X1 c- E
Cohort study, 队列研究9 g+ A6 e/ T; K, B* w
Column, 列3 I: V: x0 i+ b4 U4 w1 Y0 f
Column effect, 列效应; k) i |+ b n
Column factor, 列因素5 D- H1 k0 n; k' |* i* [1 ^
Combination pool, 合并
% z- g+ Y" `4 U+ @* R2 kCombinative table, 组合表
$ z4 B# k% H& vCommon factor, 共性因子
' M6 @7 w( G( e8 |Common regression coefficient, 公共回归系数8 c* H b! m1 f5 }7 |+ W" f5 f5 Y$ b0 z
Common value, 共同值
. X$ f; ] O; i! S" C* E7 j7 m% zCommon variance, 公共方差
' |! w4 {( o% H( ECommon variation, 公共变异
/ T$ Y3 F* J/ ^9 ]" pCommunality variance, 共性方差" |8 y9 |# v2 V" x/ I* N: q( ]
Comparability, 可比性
) i* p! \2 ?+ Y, _% d3 }Comparison of bathes, 批比较
* N( F5 K- ?6 wComparison value, 比较值
$ p) V1 Q6 P3 a) `" K, G7 TCompartment model, 分部模型/ g+ b, w$ i0 k
Compassion, 伸缩! D U+ R5 j8 K* x
Complement of an event, 补事件/ d9 h" ~; b; f) J5 _. @* K8 G$ e, m
Complete association, 完全正相关
* E+ ]3 l& e8 w# Z9 VComplete dissociation, 完全不相关3 i. J* V7 s" f+ N. _
Complete statistics, 完备统计量7 \# {) r# K& Z" r* Z
Completely randomized design, 完全随机化设计
. C2 M8 u- W/ O3 _2 J* ]3 SComposite event, 联合事件) ~2 v/ E+ q* m
Composite events, 复合事件9 B! C4 m8 v/ K0 _
Concavity, 凹性! s7 t& n- I& y" w4 n7 B& U0 b
Conditional expectation, 条件期望/ R: ]6 K% o" p) m- j0 E! Q7 J2 A
Conditional likelihood, 条件似然* o2 T5 t4 {2 E( f7 t( f
Conditional probability, 条件概率
$ B7 U9 k& ]6 F7 R) d/ I/ t( |Conditionally linear, 依条件线性( _( M1 w8 w6 A3 y
Confidence interval, 置信区间
- D" ?( J+ P; wConfidence limit, 置信限, i3 z4 A- E4 l. l4 b$ O- x
Confidence lower limit, 置信下限
- f! E5 k7 t# } p( nConfidence upper limit, 置信上限6 L7 W4 H! D* N; h
Confirmatory Factor Analysis , 验证性因子分析
4 x* A( [4 f5 n) f( X% J- ^Confirmatory research, 证实性实验研究9 F9 a$ L7 k9 h- |/ F; U9 R
Confounding factor, 混杂因素0 l- J7 O/ s* {6 ?0 ?
Conjoint, 联合分析
2 x& ^: ]' C6 ~: J. j: U# S6 H! F' hConsistency, 相合性
/ n& }) V0 }/ ~" Q3 A1 j" k7 }# rConsistency check, 一致性检验
+ F7 [7 ?# L q# c; d4 IConsistent asymptotically normal estimate, 相合渐近正态估计
6 A9 s" S3 T1 y: h1 x7 LConsistent estimate, 相合估计3 Y% N3 c- m$ ^( i
Constrained nonlinear regression, 受约束非线性回归
1 U) y0 X3 Q/ V6 {! x/ GConstraint, 约束
3 W% L( |9 T3 h- C+ m4 P, VContaminated distribution, 污染分布' E8 s2 a! z. c6 c$ I
Contaminated Gausssian, 污染高斯分布9 u9 p3 t- Y. j4 D/ J. Q0 u) T
Contaminated normal distribution, 污染正态分布1 p( d% n- B8 |( f8 T- p
Contamination, 污染
* n8 @& V3 q/ [% JContamination model, 污染模型' h6 y3 d- N* n# f3 ~/ q
Contingency table, 列联表# T! n6 ?5 o4 @" O) ]
Contour, 边界线5 A3 ~/ b+ h: g' I5 ]. J
Contribution rate, 贡献率) r) M0 i. K6 M9 i
Control, 对照
* b" x- @5 M& T2 P: X6 z; a: d+ m1 fControlled experiments, 对照实验
& x6 w) H' V, b" l6 y7 N8 h" D# {Conventional depth, 常规深度, {4 W+ O+ ~, N' V) o4 ` C' u
Convolution, 卷积
% l' p7 ]5 n- u9 G" v7 X" vCorrected factor, 校正因子
c; A8 \+ P- ~' o+ KCorrected mean, 校正均值
" B A6 e- ?- {Correction coefficient, 校正系数* i8 G/ q# x d2 b
Correctness, 正确性
& b6 k& F$ f* C$ _! ]Correlation coefficient, 相关系数7 c' m7 H8 x% e0 J: [# X% o E
Correlation index, 相关指数6 [/ K3 g0 N) q& o8 S% w; E3 @4 ^: L
Correspondence, 对应
: L9 E5 L n) B" N5 ?0 r/ D5 lCounting, 计数7 p" M H9 g+ \
Counts, 计数/频数" [: [! h) x! L% V9 M
Covariance, 协方差1 h' r: v& N. _
Covariant, 共变
6 K j; p. c1 HCox Regression, Cox回归) H- P0 o8 p- n! j
Criteria for fitting, 拟合准则
* M! f* |9 z6 x3 [; }3 Q6 o3 GCriteria of least squares, 最小二乘准则$ s+ b) U* W7 b/ }% B0 R9 A
Critical ratio, 临界比
2 F+ U% v8 t1 A0 fCritical region, 拒绝域
* c2 H2 c/ {; m. g$ vCritical value, 临界值
, h! R- y: q0 _Cross-over design, 交叉设计
8 g) I6 @9 I5 d5 TCross-section analysis, 横断面分析: j& T2 B' V* e& t7 @
Cross-section survey, 横断面调查6 A" s; K' I' D3 c+ x) ~, \! s
Crosstabs , 交叉表
" t+ K% ?2 s2 v2 c7 sCross-tabulation table, 复合表9 I- f& J7 o e5 y, ?
Cube root, 立方根) B3 r* n' p4 i0 j0 Y4 p4 z+ V7 M2 ?
Cumulative distribution function, 分布函数2 g8 P3 @! W2 e8 N2 Y; b
Cumulative probability, 累计概率
( P @& l6 p- a: A* j$ L/ nCurvature, 曲率/弯曲( ^; c: {& D5 P; b; E6 B/ T
Curvature, 曲率
# f* s) U! W" u5 V' p! W& H$ KCurve fit , 曲线拟和 8 I% V6 m) o+ ]) S2 c
Curve fitting, 曲线拟合
3 Y: _' A- \% KCurvilinear regression, 曲线回归
5 ~0 G0 R! o: o& }0 ]- KCurvilinear relation, 曲线关系
# S8 n8 v) f4 S9 S w( s) L9 xCut-and-try method, 尝试法
- n/ K0 \* Y6 f( O9 g( [ ECycle, 周期
' m$ q2 U' S, `# ~Cyclist, 周期性
' P6 l/ x' H: \9 [6 TD test, D检验) k( W- ~# i* _% C3 i
Data acquisition, 资料收集
; e8 l6 v/ Z$ R! e6 rData bank, 数据库 h1 I! ~% X; P
Data capacity, 数据容量/ J, _2 N/ t8 ]2 b+ V" w
Data deficiencies, 数据缺乏
- a2 R- G# L6 ? W, u- J; D% g0 z* |Data handling, 数据处理
! P. i n7 q+ l1 `* }' I: m$ aData manipulation, 数据处理
5 {' b6 A0 a. w+ Q; h9 OData processing, 数据处理
4 G' a7 K" O0 @Data reduction, 数据缩减' s* m6 q9 I( n( V, g+ x
Data set, 数据集
$ @% v7 a- ?: q" l- d$ p; `Data sources, 数据来源
$ T" K5 N/ O, Z2 ~Data transformation, 数据变换4 T9 X6 E5 l# D- g# K1 U( x1 x) o2 b
Data validity, 数据有效性1 j# F& n8 p% s+ |2 q2 ]$ w
Data-in, 数据输入9 {( `# k) v, G: _' K. v
Data-out, 数据输出
% x. ^# Z7 ?' p2 H \Dead time, 停滞期4 N' B& }( j- h/ @ r: P+ y; f7 n
Degree of freedom, 自由度
" Z, P! Q& A. B" j% s6 BDegree of precision, 精密度" g% k b* z) k" {0 T' N9 _8 w
Degree of reliability, 可靠性程度
5 [, f6 p1 W( W# e, N1 q$ i6 ADegression, 递减
4 W- b" `3 O9 x+ yDensity function, 密度函数
' {) ?% w M3 }2 o) }" v PDensity of data points, 数据点的密度, N% H* s3 a. g7 o9 {) @6 s0 _% f
Dependent variable, 应变量/依变量/因变量" d+ P) r: y% w, S1 ^6 {. h
Dependent variable, 因变量' N0 A, x( ^" Q
Depth, 深度" ]) q* x0 R8 v5 N. l9 c% X0 ]0 b
Derivative matrix, 导数矩阵% r; O }" A- W- j: T& c$ S, s5 J
Derivative-free methods, 无导数方法. T, w5 {( r* P# L( {
Design, 设计0 R- _; B5 }7 k, a4 Y* X8 G
Determinacy, 确定性- V& X# m3 ?) v* X
Determinant, 行列式
5 m9 u6 H$ a }- ^) A1 RDeterminant, 决定因素
: B# \9 X7 n0 TDeviation, 离差, {( G9 p; \" o6 H
Deviation from average, 离均差& ^/ @( D' Z7 `
Diagnostic plot, 诊断图 l7 i2 X( n) f0 I5 f; }' D1 T
Dichotomous variable, 二分变量
/ \& A. U0 F; A# i0 xDifferential equation, 微分方程( W' f( ?! a k$ E5 e$ X( e
Direct standardization, 直接标准化法- r6 l* F* k! U1 @
Discrete variable, 离散型变量
- _! X! b4 l4 `( B' o4 BDISCRIMINANT, 判断
/ r1 L1 J- R+ b6 q& ^$ N4 aDiscriminant analysis, 判别分析
1 {) ?. O+ ?# V% C) u5 u) W I# ODiscriminant coefficient, 判别系数* \. Y$ ] b( n; B
Discriminant function, 判别值
* Q" `, p1 D2 T! LDispersion, 散布/分散度
3 J v- N0 ]5 x5 c% x9 rDisproportional, 不成比例的6 `4 e/ E2 Z# G
Disproportionate sub-class numbers, 不成比例次级组含量) N0 R0 P$ w/ Q- Z: a6 e! j
Distribution free, 分布无关性/免分布
. c" Z6 h# H/ q0 r3 G0 C* KDistribution shape, 分布形状$ {7 r9 ], e6 M( H% p/ {
Distribution-free method, 任意分布法
6 c3 ]$ f" M1 x0 F1 I: aDistributive laws, 分配律
% _+ k$ d- }* I( ~+ A3 eDisturbance, 随机扰动项; ^7 `. e; U: _8 x" c4 ?
Dose response curve, 剂量反应曲线2 w- }! M& R% n8 D- ^
Double blind method, 双盲法
5 c& Z, {4 b2 F! J' f% s% T$ d; L. PDouble blind trial, 双盲试验
4 ]: _3 j3 u; i' DDouble exponential distribution, 双指数分布* `3 n; K/ A7 R4 v7 |8 M) f" A
Double logarithmic, 双对数4 C( |! K P# D' ~5 G) Z
Downward rank, 降秩
' q7 s, j4 T: Q3 {Dual-space plot, 对偶空间图- w4 _% m+ l, y) k3 V( O
DUD, 无导数方法. y* ~* f9 @0 i+ `4 c
Duncan's new multiple range method, 新复极差法/Duncan新法
% x+ ?) N7 ]9 w. j) b% H% z; kEffect, 实验效应
+ N5 d2 Z9 a$ t6 E. Z: IEigenvalue, 特征值$ V3 x6 |2 g8 u% W6 u7 i
Eigenvector, 特征向量
. t' z: w/ C! u% \/ x. EEllipse, 椭圆
9 L. ^7 C _+ _1 l* D, s5 t7 ~Empirical distribution, 经验分布- K+ l) \+ V6 Z0 ^3 x
Empirical probability, 经验概率单位( A5 g8 I( Q' I; H5 g5 Y8 { [
Enumeration data, 计数资料) S0 F- w* x; u) Q* r; G$ Z
Equal sun-class number, 相等次级组含量& G! }8 g. ^8 @0 x4 |4 E a7 @
Equally likely, 等可能) w, B4 q' V+ g- h' r# N: R" I+ t8 T& C& f
Equivariance, 同变性
$ h" C" B8 U- m* U/ B9 `4 V5 J8 ZError, 误差/错误
( @+ u4 [$ G8 E& G' `& s* ~Error of estimate, 估计误差# G3 F* \& c" W/ N" A9 ?/ S
Error type I, 第一类错误: z9 i o% n. ]- z+ S0 O
Error type II, 第二类错误% ]$ l. p9 g/ ^+ C
Estimand, 被估量3 Q2 y+ S( Q! \& w9 q7 n( W7 T
Estimated error mean squares, 估计误差均方! s4 x+ K7 K8 i7 ?
Estimated error sum of squares, 估计误差平方和% l Y. Z; Y; t
Euclidean distance, 欧式距离" N9 W( E$ X7 p% }
Event, 事件
$ S; s- m9 A0 C* }4 IEvent, 事件& d9 o m! b2 {9 |
Exceptional data point, 异常数据点$ m- D( g u, d0 t& C% w0 _/ K1 X4 N
Expectation plane, 期望平面* y; A$ |/ n* Y2 D6 j6 `5 ]2 t
Expectation surface, 期望曲面
9 _ Y# T2 J# o. vExpected values, 期望值, ? n& w$ J4 b) _) x! P
Experiment, 实验
9 ^1 ], m1 M U' o9 P& M, y; W# kExperimental sampling, 试验抽样1 I0 b2 b5 P* |/ M( h- i
Experimental unit, 试验单位
2 v* {! p" }4 c3 rExplanatory variable, 说明变量
6 T2 O' Q) _8 \Exploratory data analysis, 探索性数据分析" G/ u& h" I3 l$ U0 ^ p
Explore Summarize, 探索-摘要
% y4 r9 P5 G3 w( iExponential curve, 指数曲线. W: K4 U2 y3 a5 f4 \
Exponential growth, 指数式增长( O6 R+ g0 R1 X$ z, p$ K
EXSMOOTH, 指数平滑方法 4 t4 o2 i) l4 x" `* d8 q) t
Extended fit, 扩充拟合9 P3 I8 Q6 U* u7 j0 \4 @, e
Extra parameter, 附加参数
3 [6 y. s8 B$ h( ]. S g" ]5 \Extrapolation, 外推法) @8 a4 O6 W' h4 b* V
Extreme observation, 末端观测值
2 D) m- J: ~9 K! F+ f% r6 OExtremes, 极端值/极值; j9 {, K6 s$ A; v& _4 c- ?
F distribution, F分布
7 C& n& N; l9 s$ fF test, F检验
2 h, @6 J/ d( RFactor, 因素/因子
" C8 ^2 v* E3 DFactor analysis, 因子分析, n# j: O& P$ F# t, A
Factor Analysis, 因子分析* z; U# S& {' \$ r% z5 C3 i7 p) X4 J
Factor score, 因子得分
; S" b' o: R' H- c/ n6 G- W3 JFactorial, 阶乘! ? e5 b+ x/ }$ H2 a
Factorial design, 析因试验设计& {6 j' f3 }, b$ E
False negative, 假阴性
1 I2 C" l6 u5 S4 r* wFalse negative error, 假阴性错误
' D9 Z4 `, M' ]$ l% Y {Family of distributions, 分布族
* u& I( c+ E% }1 o1 JFamily of estimators, 估计量族6 N }- V u2 I, n
Fanning, 扇面
" D! ~& s5 `9 B" KFatality rate, 病死率
9 H1 L" m& b4 X/ G" zField investigation, 现场调查
$ I% Q9 q+ w2 e4 H& _! A3 |7 M! kField survey, 现场调查* V& t4 ^' z. N+ h! G( t
Finite population, 有限总体
$ e6 H# c% m; W6 Q: C. G+ m& pFinite-sample, 有限样本. i- o5 S |; x! q( g4 I, b
First derivative, 一阶导数- @7 J# K! K) r- {* e3 Q
First principal component, 第一主成分) h7 s' Q7 i' ?8 C
First quartile, 第一四分位数+ v3 `* Y3 ]9 Y& N
Fisher information, 费雪信息量
4 M( m# W5 j3 Q1 v& d1 mFitted value, 拟合值
/ h; x _5 D4 L# M7 YFitting a curve, 曲线拟合& d- d$ E; j; J! v5 Y6 b c
Fixed base, 定基
9 { \% [2 T8 U% _! |3 S! SFluctuation, 随机起伏9 R# ~4 {5 e/ U# O9 w8 l! U
Forecast, 预测
1 o) F5 Y% o4 p- i a* @Four fold table, 四格表
4 T* ~- @; ]6 a" q% ?. s1 t) \Fourth, 四分点' ?4 g1 k$ l& K1 x/ s- {
Fraction blow, 左侧比率6 T, l1 t% G+ [# v5 n6 s
Fractional error, 相对误差. F* @8 N0 U9 T! K9 D n% a
Frequency, 频率
# d! n ]% s9 bFrequency polygon, 频数多边图* h! S+ S+ i5 b' p }' E" m, S3 r& m
Frontier point, 界限点9 M, h9 j# }) V, V9 z& O# q Z3 K
Function relationship, 泛函关系8 c2 g2 v' @. ?- S5 O
Gamma distribution, 伽玛分布
* P2 ~( M& C$ {$ r& i0 M7 dGauss increment, 高斯增量7 p% Q- Q: I! A% Y! ?" ?+ y7 Q
Gaussian distribution, 高斯分布/正态分布6 x! |" `, m# T# |1 e
Gauss-Newton increment, 高斯-牛顿增量9 r/ E; i) [# z" `; n
General census, 全面普查
" o/ x& S ^! p, \GENLOG (Generalized liner models), 广义线性模型
; l1 u o6 T) |9 Z9 ^Geometric mean, 几何平均数
& i( g- a& D5 Y3 A; F) B; \Gini's mean difference, 基尼均差* l" T' F: y2 G- h$ [
GLM (General liner models), 一般线性模型
! W$ x6 G$ d& ] x$ O0 \. b' gGoodness of fit, 拟和优度/配合度
# e- i' K% r: M% }/ x0 F- [! v3 ]1 ?6 hGradient of determinant, 行列式的梯度) _. h4 @ {* _+ _ b
Graeco-Latin square, 希腊拉丁方
1 n) q; S2 l$ Q* q$ sGrand mean, 总均值9 {- a7 Y) B5 g, G. }: @8 r
Gross errors, 重大错误9 }& R* n' S( r9 l- \; C
Gross-error sensitivity, 大错敏感度& }# c/ l0 C( l; w
Group averages, 分组平均8 U6 c! U/ o" }7 [
Grouped data, 分组资料4 J! S" F5 p' e- I9 M' P
Guessed mean, 假定平均数
' E/ c. n! \8 c1 o) cHalf-life, 半衰期1 T2 Z& Y9 Q6 z6 r" V9 b
Hampel M-estimators, 汉佩尔M估计量; R6 Z% Y1 i. A- M' V( V
Happenstance, 偶然事件
( c) e4 r7 O- S6 K$ t" @Harmonic mean, 调和均数
0 R" w2 c6 }4 y4 k; A& D2 bHazard function, 风险均数# f- x7 s+ ^) Q5 i S5 q
Hazard rate, 风险率
8 H3 o4 M3 w( JHeading, 标目
+ U- ~' t' }2 {8 FHeavy-tailed distribution, 重尾分布
h( q; Y# l" rHessian array, 海森立体阵
' l2 {9 ], B9 `: O: HHeterogeneity, 不同质
( [; o G, F, g( L6 h4 {Heterogeneity of variance, 方差不齐
% W7 t, y a3 Z7 N) I9 z! w3 mHierarchical classification, 组内分组# C0 k7 b: j( \/ |0 \
Hierarchical clustering method, 系统聚类法: q+ A8 \: c+ h* @
High-leverage point, 高杠杆率点+ R5 f6 n2 u5 i- r( }
HILOGLINEAR, 多维列联表的层次对数线性模型
: q1 e u: m0 o6 zHinge, 折叶点0 q) j, u( S; T8 |+ \" a- y2 i
Histogram, 直方图) M# g! a% y& m( Y
Historical cohort study, 历史性队列研究
- [9 X: Q# \6 ?- N: R6 rHoles, 空洞5 R* [/ u# z$ ]+ Z- t A9 k
HOMALS, 多重响应分析9 g2 W2 }5 N) z' n
Homogeneity of variance, 方差齐性
. X- u; R! U: HHomogeneity test, 齐性检验
+ \: t# ~+ ?4 B, S, ]' lHuber M-estimators, 休伯M估计量
) Z( p( a6 B( J' n( A, RHyperbola, 双曲线
, P* |' p F# B$ K( t2 KHypothesis testing, 假设检验
, S2 M! H5 }" K# k) mHypothetical universe, 假设总体
% P0 H q( X3 J! g$ q* G3 iImpossible event, 不可能事件
, w8 ^2 j. b% W) N uIndependence, 独立性
6 c3 i* ~" o+ b* lIndependent variable, 自变量; L6 C0 {5 K! r4 [) d
Index, 指标/指数0 o# X7 {8 b( \
Indirect standardization, 间接标准化法, Y) k& ?# e2 I: g% W( Q
Individual, 个体
' [2 X! H! H$ t5 i4 P; k/ tInference band, 推断带) ^1 @5 i5 h) m( Z# S( Z- N/ D
Infinite population, 无限总体1 j: K6 N& y% A! u8 R
Infinitely great, 无穷大2 `7 j" U! M4 U* S+ v5 ~
Infinitely small, 无穷小( D+ R+ @( H9 @9 }$ x5 S
Influence curve, 影响曲线4 T4 X o# Z% x0 \/ C* I7 {
Information capacity, 信息容量
# H5 R- }: G; s/ tInitial condition, 初始条件
% H# p9 z( A v( c- ]Initial estimate, 初始估计值+ k1 i; U1 W; L( G8 f
Initial level, 最初水平; h: C- f! A7 H6 w" ?- ?
Interaction, 交互作用2 r( S! F$ O5 U3 C( w @5 }
Interaction terms, 交互作用项
! m' L. O9 E3 G9 f9 M3 iIntercept, 截距) n4 T5 P, F/ l4 E4 \0 ]2 B
Interpolation, 内插法
* t, e# l) A, G8 u! s& L( ?Interquartile range, 四分位距7 R' ~( O6 n: N, C7 r8 j A
Interval estimation, 区间估计) {' R0 j4 E) B& I$ F" X
Intervals of equal probability, 等概率区间4 I, Y+ g! t% a, ^* x
Intrinsic curvature, 固有曲率
6 i+ d3 f& B* c0 p0 j! Z6 ZInvariance, 不变性/ L, Z) m) j$ ^- A
Inverse matrix, 逆矩阵
% c' ~# P8 Y8 ?4 d- }! P2 `/ [Inverse probability, 逆概率 N* S- }( T- o3 W
Inverse sine transformation, 反正弦变换6 Z8 \" \' m; K, K
Iteration, 迭代 ' N/ [; ^2 N: x! `& f/ c ^7 G
Jacobian determinant, 雅可比行列式6 I3 D5 O g8 \# H! M) }3 t
Joint distribution function, 分布函数7 H# S0 p! @0 h- T) z2 D* Y
Joint probability, 联合概率
$ j4 K1 @9 e5 z- ?9 c3 `Joint probability distribution, 联合概率分布
; {1 y* e# m& j8 m5 G1 ?) HK means method, 逐步聚类法4 U5 k# p5 J6 M' n
Kaplan-Meier, 评估事件的时间长度 9 _# T$ v! n% c6 e1 Q
Kaplan-Merier chart, Kaplan-Merier图9 A: n1 a) q O+ q7 e
Kendall's rank correlation, Kendall等级相关
* N9 F; [ a7 ]) M6 ZKinetic, 动力学' V6 w& N1 E, N% g6 s
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
; R3 U1 @% m8 c2 WKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验4 I/ c6 \& a" Y8 L
Kurtosis, 峰度/ i. L* }' W) A. u8 ], I$ s
Lack of fit, 失拟( t' G/ s" C1 y% `; ?7 K
Ladder of powers, 幂阶梯% R+ y2 B8 Q) c" s# w- T P
Lag, 滞后* F& I% q! ]6 s+ E, f. |3 o; }6 {
Large sample, 大样本- A8 E: E" c, P( E- L$ z
Large sample test, 大样本检验' K/ U0 |# ^, e; j; G* Y
Latin square, 拉丁方
+ J# d1 @( d; V, a4 ]; U+ f- oLatin square design, 拉丁方设计6 [0 a! X& i2 h
Leakage, 泄漏+ L( e6 R8 {5 |1 @
Least favorable configuration, 最不利构形
2 m6 ]; b, ?3 @Least favorable distribution, 最不利分布) i% ` N9 ~4 D2 {
Least significant difference, 最小显著差法
. s" U8 u# J( M5 }7 V8 M+ R( NLeast square method, 最小二乘法
% M a: B/ @! B8 w" F2 _3 D9 Q4 T. NLeast-absolute-residuals estimates, 最小绝对残差估计
8 e0 y- v! M, O4 OLeast-absolute-residuals fit, 最小绝对残差拟合
I/ x0 X C0 B' b/ dLeast-absolute-residuals line, 最小绝对残差线
5 P/ o& h" ` z4 lLegend, 图例; k( O, ? f1 Z5 b- |, V$ y* W
L-estimator, L估计量
) N# @% l" j8 R) B. _L-estimator of location, 位置L估计量# H" X4 E6 _, v. K' o
L-estimator of scale, 尺度L估计量8 ^( c) ^7 o9 l9 G, b5 d, e
Level, 水平
% @6 Y7 C- B1 a. F' K. S! xLife expectance, 预期期望寿命
( E% e3 X- |0 a/ y% O2 d4 ^' Y& h3 oLife table, 寿命表
: w9 }+ p( k2 q1 V% t# O6 Q. m$ NLife table method, 生命表法
2 X( P/ s# w: B! B* ?$ OLight-tailed distribution, 轻尾分布3 ~: Z$ V+ [ G6 _8 ]
Likelihood function, 似然函数1 I, Q, p/ \: i1 E9 D
Likelihood ratio, 似然比$ L4 y1 }1 [7 O: v o
line graph, 线图
R2 z" _- F& ^ i1 T; W* c+ h* GLinear correlation, 直线相关& d4 z: E* f- T3 G: W8 S2 x1 }7 ?
Linear equation, 线性方程9 U/ F4 O+ M/ }" d* c& v, }% |: E
Linear programming, 线性规划
6 x+ M& o6 o0 b# ~Linear regression, 直线回归
: Q% t8 k) d% T8 v; b5 ALinear Regression, 线性回归5 N* N- G) G' r8 K' W' Q9 Y0 w
Linear trend, 线性趋势
9 h2 j& k1 M" S1 o0 C# m3 ULoading, 载荷
- X1 K3 k; X7 e7 A# ?' ALocation and scale equivariance, 位置尺度同变性
3 U k2 U, p- u- u& A- u! c+ |Location equivariance, 位置同变性0 o' x3 C$ k" X9 c" y0 Z0 q
Location invariance, 位置不变性
" M( U/ s# t& |9 NLocation scale family, 位置尺度族' R- F8 H/ H) L p' o8 {7 ^
Log rank test, 时序检验 2 u! T7 q6 D/ j/ C
Logarithmic curve, 对数曲线
8 t2 H: _2 d' `$ @" D* g, }, ^3 XLogarithmic normal distribution, 对数正态分布
B6 q% N, j' p! o2 O) t8 `+ }, eLogarithmic scale, 对数尺度0 n4 a6 f2 z: ? f; G
Logarithmic transformation, 对数变换: H5 W/ P5 N7 g8 W4 J1 Q/ P
Logic check, 逻辑检查" A! W2 i! a5 g& g, j
Logistic distribution, 逻辑斯特分布* z v: P2 D% b, |% ?$ q1 N
Logit transformation, Logit转换
' N% I: C& l: t; W0 L1 o. W" VLOGLINEAR, 多维列联表通用模型 & d, ?6 ]' y2 @+ q/ J% W: ]
Lognormal distribution, 对数正态分布9 ?1 @5 k. _( d: E% |6 x' m
Lost function, 损失函数
. R" r# i, x. w% X! K1 x: ~/ DLow correlation, 低度相关( ?% J' t6 |% Y! N% j/ ~2 N' h5 m
Lower limit, 下限
( S& e% l! M' m) gLowest-attained variance, 最小可达方差' L# L, h# g3 S* T
LSD, 最小显著差法的简称) o; R% R( w' G" C0 b+ P) b
Lurking variable, 潜在变量
/ }- |8 J$ S( F% {! A/ SMain effect, 主效应" O: o9 L' G+ |
Major heading, 主辞标目
( ~. m& u- Z: W1 m5 c3 ^Marginal density function, 边缘密度函数( C6 ?, L* t( }) v/ i1 M5 \% Z
Marginal probability, 边缘概率) ~4 b* f' _, A5 k% I
Marginal probability distribution, 边缘概率分布
; {, Y: I0 N! J* LMatched data, 配对资料' j3 A5 v7 B% H- u4 n S
Matched distribution, 匹配过分布* H; ]- h3 e3 }1 y: F: e: v% E
Matching of distribution, 分布的匹配
N, i& F2 Y6 [, v4 g$ N3 ~Matching of transformation, 变换的匹配4 j; |$ S. F5 {$ n& i# z; T$ L
Mathematical expectation, 数学期望
0 }1 C Z, k G+ k+ a- |1 oMathematical model, 数学模型# w% V, z2 G4 \6 h7 ~: [ L
Maximum L-estimator, 极大极小L 估计量7 n5 w/ c" e, U, e, {4 P0 W5 ^6 g
Maximum likelihood method, 最大似然法! ]( X/ u, @( H( ~0 E
Mean, 均数
/ x; z: `: z% UMean squares between groups, 组间均方
( s) _/ A; F( H2 L" x2 P: ` T# ?Mean squares within group, 组内均方
" G! A$ |/ W0 o4 w0 a9 t/ f: o XMeans (Compare means), 均值-均值比较, s9 _& f1 W/ ]2 a/ s+ T& K8 Z
Median, 中位数; O5 x4 i# a* u' s0 E% ~
Median effective dose, 半数效量5 Q! E' N) Y7 N1 C
Median lethal dose, 半数致死量! q+ i: y" [0 B5 H
Median polish, 中位数平滑$ X& z3 t& j2 e! N; ~, k7 C4 I! u
Median test, 中位数检验
) l( R3 q9 j8 q5 y8 O: v- y# HMinimal sufficient statistic, 最小充分统计量
2 b2 v5 f. W. i& f3 d: ?Minimum distance estimation, 最小距离估计' I# _5 P* L0 ~( e
Minimum effective dose, 最小有效量! {7 e$ a& d p8 O
Minimum lethal dose, 最小致死量: [2 Y( u) M! W1 }. o9 \$ t; {8 u
Minimum variance estimator, 最小方差估计量
4 x; n' J8 |1 zMINITAB, 统计软件包1 P# S7 `+ v: g+ k+ p
Minor heading, 宾词标目
" p0 ~$ V2 z% o+ b; b1 }6 OMissing data, 缺失值
9 w( z1 z( W0 T- v$ L& PModel specification, 模型的确定
. x0 Z! n1 @) z' x( d3 m. F+ zModeling Statistics , 模型统计, t- G) z( S$ h' } d
Models for outliers, 离群值模型
: r* G' U8 J C8 B; z/ BModifying the model, 模型的修正3 i* d1 L) k+ N$ ?
Modulus of continuity, 连续性模+ ^. }% K7 O( l
Morbidity, 发病率 . m# N: T5 G0 m' I4 M% B
Most favorable configuration, 最有利构形3 a+ g: N$ @& X+ W G4 F
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
/ o5 u3 T7 U1 {2 \' \3 t% wMultinomial Logistic Regression , 多项逻辑斯蒂回归1 K5 E9 T7 [; ^9 n5 o: w) {
Multiple comparison, 多重比较
) B" U$ Q; ~- _: \" Q0 X) tMultiple correlation , 复相关
. L0 W$ P& G; yMultiple covariance, 多元协方差
# R. u( A! ^. w4 A0 P4 fMultiple linear regression, 多元线性回归: w* G a# J% G1 P- O- W
Multiple response , 多重选项% I( u S$ p+ j
Multiple solutions, 多解# U. K3 y: }1 J4 K
Multiplication theorem, 乘法定理
! }0 Y |- W. j& n- i& G- c5 uMultiresponse, 多元响应! z: k* I7 Z# v
Multi-stage sampling, 多阶段抽样
! Y% W) ?; X9 _# @& ^; S; vMultivariate T distribution, 多元T分布( {0 i3 |- S. _1 d% d6 E
Mutual exclusive, 互不相容
: i/ H6 [+ i1 u) c: G7 M$ RMutual independence, 互相独立
% B3 g6 m! L$ ?' v) j# D/ YNatural boundary, 自然边界
+ x. T3 c) j4 {% Z! C2 oNatural dead, 自然死亡
8 T7 g. _; {- U0 GNatural zero, 自然零8 V" I2 m0 `. R6 Y9 Q
Negative correlation, 负相关6 p+ ]3 x& p* p
Negative linear correlation, 负线性相关
& W- i: S: U/ p1 N: PNegatively skewed, 负偏
2 C0 C8 h9 j/ Q' @+ JNewman-Keuls method, q检验. b1 N- Y7 U/ t. Y( P5 e# N
NK method, q检验- E! S: H2 _, s3 O" Y2 E
No statistical significance, 无统计意义1 Q( l' y9 O- o i0 a" Y
Nominal variable, 名义变量3 _. l- b( k; P |2 H
Nonconstancy of variability, 变异的非定常性- F; o' C5 |) ^/ Z
Nonlinear regression, 非线性相关6 h- q! x) C( N
Nonparametric statistics, 非参数统计
5 z5 x2 T/ I; _; ?, ?Nonparametric test, 非参数检验
" F1 S6 n# s8 J& [- c) CNonparametric tests, 非参数检验+ t B4 A0 E9 a4 A( K4 t
Normal deviate, 正态离差
m/ _% W5 B' i: c |8 k; \; n ?Normal distribution, 正态分布
# D3 r& B. @! ]* cNormal equation, 正规方程组3 G# l8 ? B. G* X% Z" M( D
Normal ranges, 正常范围* D& ?4 R# E$ F* `
Normal value, 正常值
4 r3 ^7 S) A* aNuisance parameter, 多余参数/讨厌参数
7 Q% _/ B# T% }/ UNull hypothesis, 无效假设 9 E! k# [. ^9 m# ~
Numerical variable, 数值变量
! y/ e. L/ z( r0 Y- G, w' WObjective function, 目标函数- x" s, ], @/ @4 Y, [/ c/ ^1 y1 j a
Observation unit, 观察单位
, V* f: N" V; n3 Z( `Observed value, 观察值
; ?6 s) o8 m) r( h' E! \One sided test, 单侧检验9 t3 a& S! }: W* n8 x5 l
One-way analysis of variance, 单因素方差分析, l" e! F+ ]" q5 `
Oneway ANOVA , 单因素方差分析
2 W. v. D; B* r1 I- k9 kOpen sequential trial, 开放型序贯设计
8 H! a6 N$ d6 x/ {3 Q# e8 K) J( aOptrim, 优切尾
6 w% i7 M* ~; g0 m$ T( TOptrim efficiency, 优切尾效率
7 T! D1 T% R1 [4 T' NOrder statistics, 顺序统计量
% S9 N" h8 s- y- z5 _Ordered categories, 有序分类
4 a" h5 f! U" C% j' [( ?Ordinal logistic regression , 序数逻辑斯蒂回归, {6 S9 Q, `0 p4 T7 T
Ordinal variable, 有序变量& t$ _: A& j _. T' m! R/ T8 v: i% \
Orthogonal basis, 正交基* H/ k, ~4 p$ ~+ v5 `! k
Orthogonal design, 正交试验设计% B5 l6 b5 t( o& a
Orthogonality conditions, 正交条件
5 Q9 f( j" Z! u7 [/ Q0 JORTHOPLAN, 正交设计
1 @6 G5 A7 q! S+ \: P. @Outlier cutoffs, 离群值截断点" S' P/ B9 h( A+ t9 B f g
Outliers, 极端值& _; ~* |; y0 X& m5 k8 K
OVERALS , 多组变量的非线性正规相关 2 y6 B9 |9 ^4 W" ^- t3 p
Overshoot, 迭代过度6 t2 u% n: S4 h
Paired design, 配对设计" G0 H `: V, s+ x5 k6 Z7 u; b
Paired sample, 配对样本- \/ n8 F' j! f* C2 T" g& a; q
Pairwise slopes, 成对斜率
; D5 H ?/ l+ _% o& U! E5 eParabola, 抛物线! G% X9 }0 m: y
Parallel tests, 平行试验
/ S# ]7 }7 ~% {: c) CParameter, 参数4 J8 \# j, B# {
Parametric statistics, 参数统计
- n) A5 O6 d( ^7 ?1 ~ }Parametric test, 参数检验
/ k& _0 ]# M. R# |% }Partial correlation, 偏相关; }1 d8 ?! Q- ~1 i0 B, Z2 k1 ]3 J
Partial regression, 偏回归
$ [0 z. Y# F5 Q9 J; H6 UPartial sorting, 偏排序
9 ?# k5 M, }8 A% ^/ k+ X' wPartials residuals, 偏残差
0 j6 `; K! d+ r0 t) R7 ~Pattern, 模式- w! \, {: w* g5 W, _
Pearson curves, 皮尔逊曲线! w+ ?% n$ S7 u) n- B- i, q0 p
Peeling, 退层
8 R5 Z: }/ A* d, F+ |Percent bar graph, 百分条形图0 c* x. r" ~, P, y
Percentage, 百分比7 d( l% \9 M, L* D
Percentile, 百分位数
" r. e8 ]& h6 W2 ~1 F5 lPercentile curves, 百分位曲线
* Y/ d' |# M+ |2 \Periodicity, 周期性
/ L" t% U0 }, w& K- X; N8 cPermutation, 排列
7 N0 d; u$ A, \" K6 lP-estimator, P估计量
- {6 S) g |2 z& N. c1 {* Y8 s, ~Pie graph, 饼图. |) J1 ?6 q" |( g. |% L: O
Pitman estimator, 皮特曼估计量# W, F, f C' H2 l
Pivot, 枢轴量
) |' w3 W1 r# `# ]Planar, 平坦
, L5 d _ t% V' J! XPlanar assumption, 平面的假设
9 g% [: L& E; f; _' i) P( DPLANCARDS, 生成试验的计划卡
9 E( K$ W* ~: A7 u) B4 L6 qPoint estimation, 点估计
- V% E& f! O$ W' {( LPoisson distribution, 泊松分布
5 _# [, o4 t' @* wPolishing, 平滑
( Z# @- }# H& v; W+ [Polled standard deviation, 合并标准差
$ M' ^( z! j! |' T6 R+ U$ B+ GPolled variance, 合并方差
- c' U: N, N7 S% R4 M6 vPolygon, 多边图1 N7 I- S8 j( u0 N
Polynomial, 多项式0 l9 K7 o3 C9 }, ~7 [" Z0 ]5 u
Polynomial curve, 多项式曲线
8 P! b$ ~3 V& U+ KPopulation, 总体; i- ?' A& ?7 g6 L \% d
Population attributable risk, 人群归因危险度/ _0 F- R) ~! v( V2 l9 m' E
Positive correlation, 正相关
& a5 n. h8 x' sPositively skewed, 正偏
# f( ?. m- I, r0 ?Posterior distribution, 后验分布3 [) Y0 ?! n1 o, l$ ^
Power of a test, 检验效能2 O8 M4 S4 q- J2 h
Precision, 精密度
. |* e3 K# x P: k8 VPredicted value, 预测值 H& o: `0 B9 Y u, U6 d/ q
Preliminary analysis, 预备性分析- P+ o3 i |' x9 V4 D& R8 D
Principal component analysis, 主成分分析/ k: G( L4 k' O+ q5 t$ v
Prior distribution, 先验分布
; L$ U, z" ?; oPrior probability, 先验概率
7 m/ |) R) ?7 ?7 X4 X. Q$ aProbabilistic model, 概率模型& ~, m; t8 U% N
probability, 概率7 V1 |3 o1 `" K( Y: }- p! _4 }6 _
Probability density, 概率密度4 Q3 ]" J5 _. Z$ ]2 r9 Z2 h
Product moment, 乘积矩/协方差* _& e* q. V2 Z0 ^% A5 ?4 Y2 Z
Profile trace, 截面迹图/ o: X- g" L; L* r# }
Proportion, 比/构成比
/ n& ~; H2 d3 m5 x; S$ cProportion allocation in stratified random sampling, 按比例分层随机抽样% }/ o5 j. [- Z+ D. P N9 E
Proportionate, 成比例
4 `* A9 r3 Q% F* EProportionate sub-class numbers, 成比例次级组含量1 U# j0 Z1 o6 F
Prospective study, 前瞻性调查
- x2 x' H- H$ m7 _8 X" CProximities, 亲近性 % j: ~; ?: G' _% c ?) { h
Pseudo F test, 近似F检验4 h; D$ D- ?2 ? n" {: m: m1 D
Pseudo model, 近似模型9 F% `/ n, x: y0 n7 W* P
Pseudosigma, 伪标准差
1 U8 F" i) }5 O7 v! m- ^8 l! [Purposive sampling, 有目的抽样
4 U& P; D$ e& G5 XQR decomposition, QR分解
* ^# N4 a( F8 l$ i) A- q8 KQuadratic approximation, 二次近似& z% M/ O/ H, Q) Q
Qualitative classification, 属性分类
p& j& e! S* c+ J& ZQualitative method, 定性方法
1 r: g0 i' k. X' B1 q. g \: L0 oQuantile-quantile plot, 分位数-分位数图/Q-Q图" w- I0 ~, H. v7 g [) i
Quantitative analysis, 定量分析4 z. h5 ]* Z) q1 l
Quartile, 四分位数5 R, \! m! |; Y% S4 y5 x, g
Quick Cluster, 快速聚类
% S, e9 j) |) h1 z) |Radix sort, 基数排序
- f( }: _& w+ j* W% g4 q* }: g; ?Random allocation, 随机化分组
0 i1 U) Z! p" t( bRandom blocks design, 随机区组设计
! j! z* u) V( T+ o- m7 ZRandom event, 随机事件( u5 l/ p j, o- V3 e f. N
Randomization, 随机化4 O9 R; D6 w) g8 M& y
Range, 极差/全距
4 f3 `* |( w7 D( ORank correlation, 等级相关2 \. w) c4 L5 k* U/ t* t* c
Rank sum test, 秩和检验
7 w3 B1 _/ ^7 C+ hRank test, 秩检验, m1 D* y# T' Z- H+ V5 m( @
Ranked data, 等级资料/ O+ N# _% K+ t; D/ u$ M
Rate, 比率
( J, T7 K/ @9 Q1 h$ q/ PRatio, 比例* ]& v0 f" }% L6 c$ z7 Z3 w
Raw data, 原始资料
' [% Q% l( h& L B4 pRaw residual, 原始残差$ H- q" ~8 v) j6 w
Rayleigh's test, 雷氏检验
; c) A+ P- F4 x' h8 {; K6 \! F* `Rayleigh's Z, 雷氏Z值 + C+ T* S3 v1 I5 T) s
Reciprocal, 倒数
) h+ F* z- _+ cReciprocal transformation, 倒数变换0 V0 Q* g5 v* a! Q1 s
Recording, 记录0 z/ J% T% W, a5 m8 f# g: p3 a
Redescending estimators, 回降估计量- e; B8 r3 {5 r$ f2 E. f% `7 q
Reducing dimensions, 降维
1 B, @% m, d0 T O- ^& wRe-expression, 重新表达
" O$ A) \% i0 d& Q! u. n, T: CReference set, 标准组- Z" Q' W. J; m1 l" h/ C3 B
Region of acceptance, 接受域& D. x0 w2 q- ?' A
Regression coefficient, 回归系数. o2 b7 r6 c- F9 B; s8 z" [0 q4 R; J
Regression sum of square, 回归平方和
! Y$ G: \ h, a" p6 GRejection point, 拒绝点& V0 z2 J$ L+ o2 t2 x# l. H8 K
Relative dispersion, 相对离散度$ `/ e; s+ O: s" H
Relative number, 相对数
. D: X# _1 Z3 ]) `0 C' m2 _6 qReliability, 可靠性: ?% H3 H& H0 S3 u6 `
Reparametrization, 重新设置参数
3 W. y3 L) C8 q G5 H. sReplication, 重复+ _. I0 N8 T( H
Report Summaries, 报告摘要
$ m1 W' [* H4 ^Residual sum of square, 剩余平方和
4 I" C4 ^8 f; j; m- F. e; @, _" LResistance, 耐抗性8 a5 G0 M; f( l9 x6 Z& \4 p6 }
Resistant line, 耐抗线
! c5 ]4 w f a! |2 o( ?% xResistant technique, 耐抗技术
Z' W: }. X5 S9 P- U% iR-estimator of location, 位置R估计量
5 V- x$ f4 e! mR-estimator of scale, 尺度R估计量
9 H9 {! P5 N' B2 Z. L RRetrospective study, 回顾性调查
* b) u) E- G3 u& D: _0 ]Ridge trace, 岭迹4 G6 \( e9 [# f
Ridit analysis, Ridit分析
4 m0 `5 _+ K% N7 ^6 j3 i5 O9 pRotation, 旋转
! ^6 V+ d# I" |3 P1 K" I1 O: d: VRounding, 舍入
/ e! U4 K2 R9 ]* L' q Z% `Row, 行- f7 v7 K0 [ y
Row effects, 行效应
# g, n( G: P" v' A3 ^( P0 ?Row factor, 行因素" P9 A$ q) i( ^/ E/ l
RXC table, RXC表) L+ k( X# g/ ?: ~
Sample, 样本 b) I0 C) b C, j Q5 h. K
Sample regression coefficient, 样本回归系数
/ O- W& R2 S$ n$ wSample size, 样本量3 ~/ A% k6 O0 T$ k
Sample standard deviation, 样本标准差
u: ^9 s: t& `! QSampling error, 抽样误差$ q9 c# z# s% Q5 x
SAS(Statistical analysis system ), SAS统计软件包
) ]5 b. U) }* r0 HScale, 尺度/量表
1 T2 j% j5 ` L S2 ]4 D5 I UScatter diagram, 散点图
: A6 [, K3 b' m4 kSchematic plot, 示意图/简图( S9 a x5 ?8 {; T1 h/ \
Score test, 计分检验8 U8 I! @9 y; H$ e8 B) r7 D& G, P/ c0 X
Screening, 筛检
; D$ W- A" w1 U8 l/ jSEASON, 季节分析 ! {) a, ~) v' }1 N
Second derivative, 二阶导数
) r) K8 c7 Z7 a2 ] oSecond principal component, 第二主成分
, x3 V' m q5 f7 r+ ~SEM (Structural equation modeling), 结构化方程模型 3 R5 Q- ^9 l/ ?) I( c4 n
Semi-logarithmic graph, 半对数图
( Y/ k S( R) o+ k2 n6 p; Z' NSemi-logarithmic paper, 半对数格纸, ~3 k0 V; _/ ?8 V
Sensitivity curve, 敏感度曲线
$ ~) |- P m% \: q: KSequential analysis, 贯序分析; |$ F$ j- D+ Q+ P$ `7 d
Sequential data set, 顺序数据集+ C7 \$ }, r. g1 E
Sequential design, 贯序设计
+ y3 j+ h! m* R2 F, i, r6 J' l- u4 g# jSequential method, 贯序法) ]& P# n2 C+ O) m& t% a
Sequential test, 贯序检验法5 U; E6 C, Z- F7 k7 Y
Serial tests, 系列试验
# b, W2 S+ u/ w. B8 n1 zShort-cut method, 简捷法
6 W$ ~8 G% m; {Sigmoid curve, S形曲线
; ] ?' t7 W q6 P; b$ BSign function, 正负号函数+ m1 ^( d/ O& S
Sign test, 符号检验
x% L4 G7 h: ]Signed rank, 符号秩
: _7 |, P4 P! f& y: ?% \ W6 q" jSignificance test, 显著性检验
# b8 D$ B: ]# q7 J9 j* gSignificant figure, 有效数字8 u, W$ ]# m" ~9 l- F7 t W* D
Simple cluster sampling, 简单整群抽样) j7 J. u! ^- T* H0 _' T
Simple correlation, 简单相关
: ?; m5 F @6 H. cSimple random sampling, 简单随机抽样
. R3 l% e9 k: X+ i/ C0 ISimple regression, 简单回归/ g* B, y; ^4 N6 }( L9 s5 C2 U
simple table, 简单表: q: d/ E Z8 h! c& J4 V
Sine estimator, 正弦估计量
4 e7 H, L/ j% r/ }# ]" sSingle-valued estimate, 单值估计2 e1 s9 o, y9 N" U7 s8 i- w
Singular matrix, 奇异矩阵
/ y6 X) \6 t C# M$ }; eSkewed distribution, 偏斜分布
/ u0 k1 M" Y3 Z+ C) u' TSkewness, 偏度! Q- `6 M6 N5 I5 @3 j8 v2 z) i
Slash distribution, 斜线分布" d- l( l8 T) W4 P7 P: t
Slope, 斜率- I! g/ \) ?% Y9 O7 ]* H
Smirnov test, 斯米尔诺夫检验
( f$ j+ ^8 V0 hSource of variation, 变异来源
' z* q$ e" ?$ H$ mSpearman rank correlation, 斯皮尔曼等级相关
8 J/ ~# ~* P; A# `: R2 ZSpecific factor, 特殊因子- E, U" q* M% a; _+ I1 d7 s' Q; B
Specific factor variance, 特殊因子方差4 `' I1 P! x. C- [: }' ?, S# K
Spectra , 频谱4 G9 U7 ~& F5 O. E5 [/ s* R5 z
Spherical distribution, 球型正态分布5 L4 o% w) q. \, R# y# Q7 W
Spread, 展布
+ g# x6 X' U8 e W+ K nSPSS(Statistical package for the social science), SPSS统计软件包9 s! a! b4 X# L$ M V! k
Spurious correlation, 假性相关
& q U1 T' C! y. r% {/ eSquare root transformation, 平方根变换; i) G A/ j- E8 X+ Z, ~* t
Stabilizing variance, 稳定方差
5 Q( ?. |/ w( K- Z; VStandard deviation, 标准差
! a& F: v/ a& U' a d% A: N3 iStandard error, 标准误
2 o" b: G8 V) W+ q3 K0 AStandard error of difference, 差别的标准误3 }" @/ q# u" q0 s5 q; m( Z
Standard error of estimate, 标准估计误差3 F o z- W# I" K- y7 O
Standard error of rate, 率的标准误
5 f1 ~3 j, v$ `1 ~( u4 [Standard normal distribution, 标准正态分布; d5 V8 c4 n3 F6 q2 W3 a ~
Standardization, 标准化
, Q$ `! b2 h# ]- tStarting value, 起始值4 L4 C8 i' `5 w. L- [ w
Statistic, 统计量
1 E) K7 s# b" a4 a' R" lStatistical control, 统计控制
- n. U; E" |. nStatistical graph, 统计图% f' v2 m0 K# D8 K j& @5 r7 U
Statistical inference, 统计推断: Z6 q3 R2 X, W: r9 Y2 G/ z
Statistical table, 统计表9 E4 l1 w( c8 J* ]/ V
Steepest descent, 最速下降法
. G& W, L7 T4 cStem and leaf display, 茎叶图) y$ E4 w7 J1 [( R* U- m
Step factor, 步长因子
* Q5 i) Q# u. s$ Z0 A: U; D1 fStepwise regression, 逐步回归- W. F% O9 E" A
Storage, 存
6 _# B- D8 L9 pStrata, 层（复数）
6 b \; F0 r/ w! `. u+ |Stratified sampling, 分层抽样 y ] M% {+ ~/ u0 P1 w
Stratified sampling, 分层抽样
+ N O( @9 ^! V! \$ A0 s& U1 g3 r5 EStrength, 强度) ]$ l" C8 D" i* a, H
Stringency, 严密性) t6 u2 X4 L, H" E* [' `. \& I
Structural relationship, 结构关系+ l0 T; B. N2 W% f' ~: f1 K0 Z
Studentized residual, 学生化残差/t化残差
, \2 A9 f; e4 o: pSub-class numbers, 次级组含量
4 X( O9 D0 P; t# M" @* KSubdividing, 分割
. d+ e% Y! J5 q# N- K, YSufficient statistic, 充分统计量
1 i F9 a0 D$ g1 sSum of products, 积和& M2 H4 s9 N0 \2 f' ?
Sum of squares, 离差平方和
+ A8 a9 p0 }7 W9 O9 A5 h9 T4 uSum of squares about regression, 回归平方和
' T0 g; v& h1 E" h" @# O, LSum of squares between groups, 组间平方和
9 R3 @" }) C5 y1 _. n* \- HSum of squares of partial regression, 偏回归平方和
9 }* o! l9 G5 fSure event, 必然事件
* i; _9 ]# {: {# KSurvey, 调查
# W: { Y7 {5 k' D& S3 z( BSurvival, 生存分析! I( t! B) x( b; r }0 I- y f, k% W" w
Survival rate, 生存率+ T% ^ `( B0 u1 P5 l$ A
Suspended root gram, 悬吊根图
$ }, p- j! y7 A, J9 YSymmetry, 对称8 d; \7 a1 W# Z: Y
Systematic error, 系统误差
% c6 }' w9 m9 N, P0 ESystematic sampling, 系统抽样- T; _6 b" X0 E8 o
Tags, 标签
# L) @/ O* ^$ J4 o# q) i& _0 `Tail area, 尾部面积
/ ^- B* `: S: h( P. g$ PTail length, 尾长% l5 ^7 z" D* `* B O( Y
Tail weight, 尾重9 q5 v7 z. |* A# ?5 k/ ^+ x
Tangent line, 切线! ?( v4 V$ T0 |9 h: h
Target distribution, 目标分布
2 J; B W% E: u$ k [" @Taylor series, 泰勒级数$ A! m2 B2 R7 j* B: e
Tendency of dispersion, 离散趋势6 H6 T s0 k) l: j9 O
Testing of hypotheses, 假设检验4 v F4 u* Q0 `5 i: w. T
Theoretical frequency, 理论频数
* A/ }/ ^0 b2 |; \1 E! c9 a, yTime series, 时间序列6 u9 A5 r& ~0 D2 K$ m. G1 o
Tolerance interval, 容忍区间
9 ?/ G/ K1 s2 aTolerance lower limit, 容忍下限
6 a9 M2 \# C. v% ZTolerance upper limit, 容忍上限- T' D) h4 y% ^7 K1 g# h
Torsion, 扰率* O" S9 C' q; g9 j4 O4 u6 v
Total sum of square, 总平方和) e6 v/ B, A0 y) S; }6 _# u1 s! X9 H% W
Total variation, 总变异
& L' D- M( E3 H: T* GTransformation, 转换7 m5 u2 H+ G6 t) h
Treatment, 处理
4 M) X4 Y* A# n5 `0 r" d4 DTrend, 趋势
2 G. [) q5 s7 ^+ mTrend of percentage, 百分比趋势9 G5 h- F) n& G- n: d; A
Trial, 试验
- i9 p. t4 k: Y* g2 q: S# QTrial and error method, 试错法
: W9 p. T6 V& Q- s8 Z/ ]4 lTuning constant, 细调常数
9 _, v; @% B6 b( {: O1 e; bTwo sided test, 双向检验/ H: N8 }% i! [# y; W. T0 z8 q* W
Two-stage least squares, 二阶最小平方2 C6 m+ w2 U4 E& [6 h# |7 l9 c* m
Two-stage sampling, 二阶段抽样
- `7 Q& A4 q+ [, I" A0 Y( A2 nTwo-tailed test, 双侧检验3 L! j8 G0 K, O9 ^% e0 H
Two-way analysis of variance, 双因素方差分析1 w3 d; Z7 O2 c" C. i
Two-way table, 双向表' Y2 N. m0 P v$ z) f8 k
Type I error, 一类错误/α错误
; b" J1 i2 r( y$ tType II error, 二类错误/β错误- w. H0 K5 K9 l# }0 {5 B3 y
UMVU, 方差一致最小无偏估计简称
: \+ {( f8 `: L, uUnbiased estimate, 无偏估计
+ i3 ^! q6 y0 n+ U( K7 dUnconstrained nonlinear regression , 无约束非线性回归# b# y* _! [5 t8 h
Unequal subclass number, 不等次级组含量: y2 E" k$ r% w! {9 M
Ungrouped data, 不分组资料/ ~* |( H4 a! S" S
Uniform coordinate, 均匀坐标4 t- X9 S9 ]1 f
Uniform distribution, 均匀分布
% u0 V& _* @, dUniformly minimum variance unbiased estimate, 方差一致最小无偏估计; A, G' `! C. l) G6 Q
Unit, 单元
4 y3 `$ w! Z/ Y6 X1 b2 t3 i0 M5 xUnordered categories, 无序分类7 ], C1 h' S, k8 \' C/ O/ k; B4 S
Upper limit, 上限
8 I: T) K* j) S4 U1 Z. @Upward rank, 升秩8 X, a% [* K# m
Vague concept, 模糊概念
, u' z- f. h! j: k& g) K. z+ |( KValidity, 有效性: b- K% K" B- M6 R% \
VARCOMP (Variance component estimation), 方差元素估计
2 K2 k: T# r6 vVariability, 变异性+ N, ~8 Z# C. P
Variable, 变量' Y3 M0 u2 z9 d9 Q- R: C
Variance, 方差
; N7 K" O0 ]% W) RVariation, 变异
+ f: b# X. d `8 I& N% \Varimax orthogonal rotation, 方差最大正交旋转
* D* \( ]; C' S1 ]: yVolume of distribution, 容积
8 p" b% [" l; p# C- e4 {W test, W检验
! z: p: j) i3 p) [) ^Weibull distribution, 威布尔分布/ g! J. J8 \6 l4 @3 Z
Weight, 权数5 R& h. \! m& R0 k( K" a9 {. W; h
Weighted Chi-square test, 加权卡方检验/Cochran检验6 _' v& c8 R1 l q2 i! j
Weighted linear regression method, 加权直线回归5 j! Q$ V5 P v+ H4 B$ c6 K4 e9 G- Y# K
Weighted mean, 加权平均数6 ^! j* x" V8 N6 t( w7 I1 W! j
Weighted mean square, 加权平均方差
; ]1 \, k9 o P- N4 i% r8 D. W VWeighted sum of square, 加权平方和8 R- T S+ b* V7 h9 v: U+ V. t
Weighting coefficient, 权重系数
' p# l9 E# X. p4 ?6 V. l" ]. \Weighting method, 加权法 ) o. c( S; U# g+ M' S6 r
W-estimation, W估计量
& b, ~! p: Q! {1 i, `W-estimation of location, 位置W估计量% w2 p; G5 R/ e5 s& G1 m" f" X
Width, 宽度4 S$ j* F, K3 m' l
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验% w0 H0 ~) E" A/ g: n8 `
Wild point, 野点/狂点
3 t9 V% D% [9 M, @& N% v2 iWild value, 野值/狂值
" u0 p/ c3 X! ]6 BWinsorized mean, 缩尾均值
: N8 ]3 N. w: SWithdraw, 失访 J8 Z1 {. _' l7 [$ D' `
Youden's index, 尤登指数5 Y) Q- A: {; W
Z test, Z检验$ I" B+ G" W1 K* a5 X* ~* u
Zero correlation, 零相关7 e. Y, V8 m- D7 o/ I! D: F+ X6 u
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
