|
|
Absolute deviation, 绝对离差5 a( u- X$ r' u* O- h0 S ]
Absolute number, 绝对数0 {; p0 h9 g' v, ~2 ^+ M! _* u4 J
Absolute residuals, 绝对残差
- F4 b; J, G) B4 W# C" gAcceleration array, 加速度立体阵 W% t. m0 i. Y: a6 c2 U
Acceleration in an arbitrary direction, 任意方向上的加速度' {1 n2 Y$ l I: S- J* t3 x! `
Acceleration normal, 法向加速度& W# [* Y& C2 c# i
Acceleration space dimension, 加速度空间的维数0 K9 W/ @7 V' y; v& |9 L4 o6 X
Acceleration tangential, 切向加速度
# z) r# L5 Y: W, E3 r( n" ]8 S1 O- LAcceleration vector, 加速度向量
; \! _& ^$ b& |" qAcceptable hypothesis, 可接受假设3 `- o* A* P7 g
Accumulation, 累积) ?, S6 S( [0 m! a6 o
Accuracy, 准确度
2 {$ J2 |! `$ l; Y- g! i' J' mActual frequency, 实际频数
, @" Q+ j1 i' c, B- p; ?Adaptive estimator, 自适应估计量$ @- K8 D6 H6 A' I! P; d
Addition, 相加
. c8 O& F) u2 s. O( E7 G, H% EAddition theorem, 加法定理
1 z' Y, T! u& B) aAdditivity, 可加性, H/ ]3 c; `* O# p% a
Adjusted rate, 调整率
2 v @$ y' g f( j6 I' j1 g5 AAdjusted value, 校正值: p$ o+ k" {8 }8 g5 \! O
Admissible error, 容许误差2 o+ c5 o& j! w4 g* u
Aggregation, 聚集性
6 ~/ {, L6 Q" m! N' q N; EAlternative hypothesis, 备择假设. H( z# f, U: l: P, q
Among groups, 组间
& B( P! V& ^+ }Amounts, 总量
4 b. B+ i, x4 U2 }/ i7 r0 E2 OAnalysis of correlation, 相关分析
4 A# W& L- _" K) u7 o: l& C+ kAnalysis of covariance, 协方差分析2 f/ z) A1 J2 }; Y. B v
Analysis of regression, 回归分析4 \+ u9 ^: K6 \
Analysis of time series, 时间序列分析
+ |/ q# |. N& Z" H cAnalysis of variance, 方差分析" [6 S: k8 y& N- @
Angular transformation, 角转换% k0 w8 p9 r' T
ANOVA （analysis of variance）, 方差分析
# q9 x/ S1 W) d# t, M+ _8 r5 u1 LANOVA Models, 方差分析模型
6 _, }- A' n5 p) z) V* F3 F5 QArcing, 弧/弧旋
* H& a1 x/ t# S# b4 x& B$ dArcsine transformation, 反正弦变换; z' \! ~0 F0 O
Area under the curve, 曲线面积8 w% R2 W$ m5 k t I8 T
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
/ O6 Q4 N9 z5 T0 t8 E) H$ R7 `ARIMA, 季节和非季节性单变量模型的极大似然估计 / S. S. E+ Q+ v, i( E
Arithmetic grid paper, 算术格纸
+ o# Z9 V. x" p" o& SArithmetic mean, 算术平均数
0 O; \$ |% i8 P& W5 T& T9 Q4 IArrhenius relation, 艾恩尼斯关系
8 I0 M% U: \. r5 W) y1 {4 qAssessing fit, 拟合的评估
3 R% ^2 u, p. k N. R, lAssociative laws, 结合律( ^: h3 h$ ]0 K6 ^, B
Asymmetric distribution, 非对称分布
( i/ R) w$ S' dAsymptotic bias, 渐近偏倚
6 D3 O0 K) V8 q. jAsymptotic efficiency, 渐近效率# g! Q/ I% Y5 g2 p, k6 P E
Asymptotic variance, 渐近方差
8 I5 N; M8 Y& w; rAttributable risk, 归因危险度8 i, F$ k# z, S; C
Attribute data, 属性资料1 ]$ A/ G, b/ ~
Attribution, 属性
: X; R' f O- s9 K; v* QAutocorrelation, 自相关
) M# o$ b/ g# k( y9 p. uAutocorrelation of residuals, 残差的自相关
, h6 |3 A, U& h; ?; G/ vAverage, 平均数
0 v) Y9 q4 K! F+ f6 sAverage confidence interval length, 平均置信区间长度/ h l* k9 N6 n* N
Average growth rate, 平均增长率5 b! |2 ^9 P+ |% a% l1 E- b
Bar chart, 条形图
& q- I( w# R4 D: u1 |Bar graph, 条形图
7 f% _6 j; s" I* q' KBase period, 基期% G: q% J# r3 u
Bayes' theorem , Bayes定理$ B! u' I7 r! u" N5 |
Bell-shaped curve, 钟形曲线( N) N' ]9 J; [! O& T0 p
Bernoulli distribution, 伯努力分布( D- l9 B' t8 v
Best-trim estimator, 最好切尾估计量9 w2 l- E0 u% r. y3 Y' k
Bias, 偏性
6 @- E# R) E9 C! Z1 ^$ ^Binary logistic regression, 二元逻辑斯蒂回归
2 T% I$ C. @8 S; D# g& r" ~9 ?3 @Binomial distribution, 二项分布6 b; B+ b5 g$ j. u- a5 Y# X$ F3 [! N
Bisquare, 双平方
; t9 n* F# M/ }Bivariate Correlate, 二变量相关
$ p5 Z9 g# n8 q; w( d. aBivariate normal distribution, 双变量正态分布
$ x' U! l+ F9 I" [Bivariate normal population, 双变量正态总体
1 |6 ?+ Y5 k- s& F/ vBiweight interval, 双权区间. \2 v3 K- w; W
Biweight M-estimator, 双权M估计量" x7 b7 z# U( b! b
Block, 区组/配伍组
' p3 Y) P9 ~( F- k3 Y0 X" @BMDP(Biomedical computer programs), BMDP统计软件包
0 ]( X/ F; e' I* f- g" zBoxplots, 箱线图/箱尾图8 ]1 i+ b) q7 ?1 N, |
Breakdown bound, 崩溃界/崩溃点' C$ g& y9 I1 w8 P
Canonical correlation, 典型相关
' B8 q( ^) b( Q! V( H9 {- e- MCaption, 纵标目0 A( {0 ^1 C$ q, \
Case-control study, 病例对照研究
2 q! E/ i# t* {- q4 { |! @Categorical variable, 分类变量 c6 ~0 E% u H
Catenary, 悬链线3 \* V/ c$ F1 h. Y C5 R
Cauchy distribution, 柯西分布
, d6 |4 G T* k' L& ]( C `% FCause-and-effect relationship, 因果关系# a+ O X- b5 G7 z0 T+ K7 Q& U: X' H
Cell, 单元; q! m; m/ J8 c% F! S! o y" h
Censoring, 终检
: i+ `: n( q( |& @! [3 z$ LCenter of symmetry, 对称中心
4 x& N" Y. K! V1 z" y6 E$ OCentering and scaling, 中心化和定标; P: G* X5 a# R$ x' s; V4 S& C# S
Central tendency, 集中趋势
% W5 q" {! ]0 f% J4 uCentral value, 中心值
, n+ e/ R( K2 HCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测5 }& n( F! m @/ }$ m7 M. K
Chance, 机遇' ?0 T7 u' f. T4 b3 D; p
Chance error, 随机误差0 c: |. w0 a8 H* n+ A; r5 ~
Chance variable, 随机变量
# j! \, Y& p" w: {% VCharacteristic equation, 特征方程
; k H/ J0 C1 A# X5 U/ d; aCharacteristic root, 特征根* g3 ]# O7 H+ \ t
Characteristic vector, 特征向量1 n6 J1 w, j' X$ s& @3 u
Chebshev criterion of fit, 拟合的切比雪夫准则: M* G+ j* H, P
Chernoff faces, 切尔诺夫脸谱图1 d+ y# _# ~6 @
Chi-square test, 卡方检验/χ2检验
3 T! Y$ A0 |- D3 m# l0 j- ]Choleskey decomposition, 乔洛斯基分解% w9 I4 X3 q: P8 j1 E- g, N8 D
Circle chart, 圆图
3 h8 a7 C- a+ A: v" M" ^$ K1 P4 W5 TClass interval, 组距
& h" Q: o3 c; W/ ^: bClass mid-value, 组中值4 F2 n) x+ E" c: c! q3 x
Class upper limit, 组上限1 I# Z' a* n' q, {/ U
Classified variable, 分类变量" W+ ]7 R2 a& T4 M* u" a: U4 Y
Cluster analysis, 聚类分析
3 A7 d. a/ o5 d5 P! @4 DCluster sampling, 整群抽样& v9 B7 K0 o3 q+ r
Code, 代码7 s4 C5 v8 l K0 S
Coded data, 编码数据
2 I. ?6 U' W: B! ECoding, 编码2 E# u+ @2 t! ~, i) o
Coefficient of contingency, 列联系数+ C6 s# _& @; x
Coefficient of determination, 决定系数& u1 R5 J5 E) H+ ?
Coefficient of multiple correlation, 多重相关系数' [, V+ @* z) V& [+ K3 D
Coefficient of partial correlation, 偏相关系数( m: D: o1 T! a/ g+ A
Coefficient of production-moment correlation, 积差相关系数
8 ]$ h; R7 ^& ?, N, ~. bCoefficient of rank correlation, 等级相关系数
% r! @6 p7 d) Z" v8 `. ^Coefficient of regression, 回归系数( w5 S: ~+ r L) _4 F) k
Coefficient of skewness, 偏度系数6 F* i! S# Y1 v( Y
Coefficient of variation, 变异系数
" f9 }, l% l. n# Z- h$ h1 hCohort study, 队列研究
0 I) X0 ~+ s+ A% ]Column, 列% l/ {9 @0 g# z: A
Column effect, 列效应
3 q! M6 ?' l0 H. k# V0 qColumn factor, 列因素
+ j9 A5 V" l- A$ o6 D: ZCombination pool, 合并- F; e6 d( v; c" r
Combinative table, 组合表
& \5 [# q8 n7 A- }" nCommon factor, 共性因子
) \& i8 y8 C: r) X. ?6 VCommon regression coefficient, 公共回归系数
) u1 W- [6 R$ V8 |Common value, 共同值
4 r' ^0 E3 ]3 PCommon variance, 公共方差- h7 X3 R( K% f# A# Y/ i( T* n
Common variation, 公共变异
* H: P4 n9 P5 _+ q/ I: ^ ]Communality variance, 共性方差
( V7 N0 U5 o9 K1 S$ a& h( D5 c5 K1 j3 YComparability, 可比性- `% m \* q3 m& y3 Y# r/ i
Comparison of bathes, 批比较
4 n7 y5 C1 I: Q. J" j9 G* _Comparison value, 比较值" D! K: v( g5 {4 W3 x0 e
Compartment model, 分部模型
' }1 s: s: k/ N/ t4 J0 TCompassion, 伸缩: f0 |; \: k" v
Complement of an event, 补事件
5 X+ n. N4 d% p0 J4 zComplete association, 完全正相关1 K" X+ R/ x& y" O
Complete dissociation, 完全不相关4 v1 z9 |& N* l9 Q
Complete statistics, 完备统计量. Y4 W6 Z2 _& n; l1 V/ o
Completely randomized design, 完全随机化设计4 i, B: ^' P. ]8 r
Composite event, 联合事件
( A! u- u3 |/ m! JComposite events, 复合事件
5 S. d6 q" z9 z3 ~6 ~1 `Concavity, 凹性
4 v5 b) \5 k/ T" oConditional expectation, 条件期望2 ?8 z# E* @$ q) [$ `
Conditional likelihood, 条件似然; r0 T4 I K/ h/ o' K6 D
Conditional probability, 条件概率
, a* I+ F+ V& J' ]7 CConditionally linear, 依条件线性- Y/ H& @1 @1 u: \3 r
Confidence interval, 置信区间3 G) `( F, G F. g1 J& x( n
Confidence limit, 置信限
/ v# \& t. A# ~# `. o: T+ A2 MConfidence lower limit, 置信下限) r6 k5 ~% D9 ^2 a) y
Confidence upper limit, 置信上限
& c r9 ~, a E+ fConfirmatory Factor Analysis , 验证性因子分析
# g+ L2 u7 f" G2 q5 y% SConfirmatory research, 证实性实验研究* j/ X; O, F: a( Q% \. \2 R
Confounding factor, 混杂因素
* c& b2 `8 {' z5 u- bConjoint, 联合分析/ \* s; P* \; m5 |+ U
Consistency, 相合性
: F; P: }% D. }$ E' o+ \1 v4 Q/ iConsistency check, 一致性检验
; }4 M6 W: |9 x: KConsistent asymptotically normal estimate, 相合渐近正态估计- f( R4 O6 w# |5 f* t5 j9 f& e
Consistent estimate, 相合估计, ]" i1 \% w. K6 z) G7 J+ x
Constrained nonlinear regression, 受约束非线性回归
; Q5 i$ o9 @! T1 T# K4 y/ pConstraint, 约束# B0 u3 i1 b* X0 K( c$ q O: n' t
Contaminated distribution, 污染分布8 y; [6 J/ I# J A# k9 r
Contaminated Gausssian, 污染高斯分布
+ g! B- u, ?! MContaminated normal distribution, 污染正态分布
1 u, T0 _6 i+ [1 |. k7 Y; fContamination, 污染' D6 S# e6 F3 W O
Contamination model, 污染模型
7 D% [2 F* g, J4 }Contingency table, 列联表' h$ w6 H2 H& ?2 Q3 J7 g5 Q# h
Contour, 边界线
) k J& Q* m7 | v5 [Contribution rate, 贡献率
7 Y; X) W! h- A& A# a) [% ZControl, 对照9 l: Y4 l5 {3 {1 n) a) ]: E
Controlled experiments, 对照实验1 u/ Z& J6 Q6 H6 \
Conventional depth, 常规深度
$ N! R4 R6 ]3 T1 \: N$ n( sConvolution, 卷积
9 b$ _! i' \; WCorrected factor, 校正因子- k1 O9 K# A7 g+ k
Corrected mean, 校正均值1 k0 B" U* j- k5 a! U, f# ~
Correction coefficient, 校正系数( C1 f0 v3 w( ^% P% f) @# I
Correctness, 正确性
: c' g; @2 K; K8 D' I% V# V6 [, mCorrelation coefficient, 相关系数% A; A; H/ O$ }1 O) n) F$ c' p( x
Correlation index, 相关指数
% h! B+ T1 |7 KCorrespondence, 对应
6 y& h2 p8 D3 t ^2 k$ wCounting, 计数
; Q0 n0 d+ S: b5 t$ ~Counts, 计数/频数& z$ g& P8 H* \: V2 F) h
Covariance, 协方差
# Q* {1 }) C/ ECovariant, 共变
( k. y3 e. \& Z$ T$ E( |. h; e1 J. `' ZCox Regression, Cox回归- ]' w8 r' D; X, Y8 ?# Z
Criteria for fitting, 拟合准则
8 C. j; ^( Z" g% w$ ?Criteria of least squares, 最小二乘准则
# X5 C8 Y; M: v* q" mCritical ratio, 临界比
# d7 c9 S! V9 M! d, u+ NCritical region, 拒绝域" l# L! V* f1 U' Z; @# F
Critical value, 临界值) d; {3 [% G: `" [+ G: u' C
Cross-over design, 交叉设计 z: L& s* V/ o/ e: h4 {5 i
Cross-section analysis, 横断面分析; L1 O/ F5 j( ]8 `& V4 k, W
Cross-section survey, 横断面调查; [ `# j; T0 o9 m( }$ A8 Y. E b! ^
Crosstabs , 交叉表
1 {. x- }, T/ u! G8 p% lCross-tabulation table, 复合表% f: O" I* b2 o; e" W* Q
Cube root, 立方根
+ n6 X# _8 i" ^4 K ECumulative distribution function, 分布函数
& p0 H% R) V; _$ kCumulative probability, 累计概率* t- D7 T8 M6 i% P
Curvature, 曲率/弯曲$ [8 M1 H" a8 P- Z! n1 n5 B
Curvature, 曲率0 ]6 V6 B: {9 Y( [' E; M; V% _
Curve fit , 曲线拟和 7 n+ D2 C: L+ z3 L5 R0 M
Curve fitting, 曲线拟合
, j" `% W' v# z, ~Curvilinear regression, 曲线回归6 w$ b5 k9 _- Q7 o) c% C0 {7 U
Curvilinear relation, 曲线关系) P! y$ E9 N* w2 n. J
Cut-and-try method, 尝试法0 z+ M" Y/ Q# Q
Cycle, 周期
" L6 M9 j& v ~* k* Y+ C: V3 NCyclist, 周期性
" [" W- F/ j8 [( rD test, D检验
9 i7 i9 s% k! XData acquisition, 资料收集/ g$ G, g" E: P; d
Data bank, 数据库 ~" ^, C) j! u. B0 }' v
Data capacity, 数据容量. d( Y9 I3 `; p* L
Data deficiencies, 数据缺乏
6 ?% [9 r9 s7 b' H/ OData handling, 数据处理
! [' e' @* ]9 R* v: o$ iData manipulation, 数据处理
# x! q8 ^" S3 p v% ZData processing, 数据处理" V0 a$ ~. H2 h
Data reduction, 数据缩减/ G' u3 o0 V" \' R' T: j/ Q# a
Data set, 数据集
7 A+ U/ [8 g" t/ b" X9 ]Data sources, 数据来源* E; E* |5 ?1 R$ u0 D- K
Data transformation, 数据变换1 L' Q4 { X- `
Data validity, 数据有效性
! @, d) A, q2 F$ J- ?Data-in, 数据输入+ }3 E$ w' N7 V" t- A
Data-out, 数据输出: p0 b# G1 A& m* g- W
Dead time, 停滞期
* y7 a2 t* _4 O1 eDegree of freedom, 自由度9 j# C& \- q% I
Degree of precision, 精密度! r2 n5 U9 N$ _; s" n6 I# O/ `
Degree of reliability, 可靠性程度
, O, j& g9 A" Q3 v t& nDegression, 递减 N, w3 |9 m7 _) a6 x+ I% B r- s
Density function, 密度函数
2 Q% p) G6 k7 P3 C; }9 a2 _Density of data points, 数据点的密度
6 u- J" p/ y, t, m4 s: o! f* T0 ^Dependent variable, 应变量/依变量/因变量( b5 ?9 t6 X! t' p" M
Dependent variable, 因变量0 t5 W+ m" F8 C. ]
Depth, 深度; M, H J$ _5 g8 X7 U: `
Derivative matrix, 导数矩阵1 z; \+ g9 `; A5 V
Derivative-free methods, 无导数方法9 l; b+ {; _3 n7 h# W: ?/ k( m
Design, 设计9 r7 N' \4 O" \
Determinacy, 确定性
, {. \, d1 b9 \) T8 iDeterminant, 行列式& D- q3 C. n: K6 Q
Determinant, 决定因素8 \1 G1 Z6 o2 g) |, [$ X# P, ]
Deviation, 离差
# C: v& Q( [3 |! n- K, n" q! ZDeviation from average, 离均差
! e! W# g! C& l# i0 PDiagnostic plot, 诊断图
. Q- U; D% D: DDichotomous variable, 二分变量1 ]( @3 [# @9 m8 c% t
Differential equation, 微分方程
. g6 w3 Y! q, wDirect standardization, 直接标准化法2 v0 f, [% ?' M
Discrete variable, 离散型变量& q! G' y z; ~: h3 Z! l
DISCRIMINANT, 判断 ( r- d p9 H% L
Discriminant analysis, 判别分析2 x- q9 o- Z. Z
Discriminant coefficient, 判别系数) L2 u# K# {. p. n* \( }
Discriminant function, 判别值. A" D7 K2 d% d1 z* H* [( I" v
Dispersion, 散布/分散度* B; k0 _2 i+ m$ {
Disproportional, 不成比例的
+ H$ `. ^# g" |% ?0 E8 W. vDisproportionate sub-class numbers, 不成比例次级组含量0 v4 ~# d8 w( [ W8 ?: M1 i" t+ A6 B1 h4 u
Distribution free, 分布无关性/免分布$ I* l5 k3 @5 t! n5 N& K
Distribution shape, 分布形状
p7 R" \) ~" nDistribution-free method, 任意分布法
6 n) l7 n; S' \' v. D2 q# ODistributive laws, 分配律
6 i* d4 E: R0 y$ IDisturbance, 随机扰动项
0 K0 s. L9 v1 \5 K. m5 `Dose response curve, 剂量反应曲线
: [* ]8 l9 I1 T2 T: hDouble blind method, 双盲法7 Z0 [; G5 @& |9 j
Double blind trial, 双盲试验0 S8 b9 S# w! [. Z( n- M
Double exponential distribution, 双指数分布
) V5 H% u! E& o6 WDouble logarithmic, 双对数5 [# q! Z; ^ l
Downward rank, 降秩: k* R! @& ~) G: u' Z& V {
Dual-space plot, 对偶空间图1 k9 K+ C5 ^+ C g
DUD, 无导数方法) `- R2 V7 [5 J: N/ M
Duncan's new multiple range method, 新复极差法/Duncan新法2 J% P. q/ ]7 p# b- x7 d8 Q$ y
Effect, 实验效应( S: d, J9 ^# ^% J6 h, q
Eigenvalue, 特征值: I% i" i% m5 t+ q
Eigenvector, 特征向量
9 O* K& Z; g% v5 l) bEllipse, 椭圆
6 I) ]" V/ H3 v1 A# ^' ~# M' @Empirical distribution, 经验分布
" ~& a( O& |6 I' d2 G! {' ~! o7 yEmpirical probability, 经验概率单位" R/ K3 A+ [" V P) v7 W
Enumeration data, 计数资料
h2 @* F9 I$ C: s8 cEqual sun-class number, 相等次级组含量
' D4 l0 J' O/ XEqually likely, 等可能
" {0 h; A% u0 |: yEquivariance, 同变性
: j) M9 K; Q3 i) I5 C. PError, 误差/错误
4 @" w) w' c6 [ I, h5 tError of estimate, 估计误差
a: J; Y, a( m0 D0 AError type I, 第一类错误
% c2 }! {$ {: o+ EError type II, 第二类错误" w: d* W0 [0 J, Z
Estimand, 被估量
% T# l! a9 P! `# H1 w" @* ?Estimated error mean squares, 估计误差均方
+ d1 Q9 T/ [5 \9 C: T7 | l' {Estimated error sum of squares, 估计误差平方和2 t2 C# U6 ]6 y4 u! z
Euclidean distance, 欧式距离
3 F6 N$ E' `5 x2 [" @, W7 E9 z% T0 BEvent, 事件
* M# w+ V( E, ]* ZEvent, 事件
( y) x8 r' ?( ?4 [$ ^Exceptional data point, 异常数据点
8 t. ^1 e& ^2 y* E7 N+ X& NExpectation plane, 期望平面/ K# ^: D. J# z. t0 }
Expectation surface, 期望曲面- q# {- k6 G8 ^7 {
Expected values, 期望值. F" Y, r u' Q8 E1 t, \
Experiment, 实验9 g: m+ m5 \. f( e
Experimental sampling, 试验抽样
, `; W5 I6 m' r; uExperimental unit, 试验单位
/ J1 U. y9 n1 B& x" ~$ [Explanatory variable, 说明变量. `- w9 m- n8 \# q% V* K
Exploratory data analysis, 探索性数据分析
9 s; G+ d: v3 x( @/ XExplore Summarize, 探索-摘要: Z0 }8 e* b0 ]" o
Exponential curve, 指数曲线; q* A" K* W1 c2 d0 B6 R6 a
Exponential growth, 指数式增长
9 C% U, C( z& m6 ^EXSMOOTH, 指数平滑方法 * J" u' W' M/ ~8 U
Extended fit, 扩充拟合8 A& ~" l; i* u, Z5 ?
Extra parameter, 附加参数3 h7 V8 G5 C9 O/ q% u! E
Extrapolation, 外推法
9 F+ v( P! d! n3 P" B: s8 nExtreme observation, 末端观测值1 j2 ?' s& Z5 w9 m. O/ O
Extremes, 极端值/极值2 a& L8 r4 p/ g* y9 p7 u
F distribution, F分布
2 D% E) @2 v8 LF test, F检验5 `7 J# m) K2 f8 X' U
Factor, 因素/因子
+ _7 y* k4 E1 W5 n; K6 {) k: B2 ~Factor analysis, 因子分析
: l. W; R6 `; t- @Factor Analysis, 因子分析
P# }6 X L SFactor score, 因子得分 + q1 f3 V/ m" _& J& J
Factorial, 阶乘( H: |' Q9 K z8 [9 G/ r
Factorial design, 析因试验设计
0 h7 U& `* o% Y9 C8 M0 D5 {False negative, 假阴性
: U* n( l/ i) m SFalse negative error, 假阴性错误
! x# D: d/ m' G; M+ l: HFamily of distributions, 分布族3 `+ X$ ]' W. v4 |& @6 x; [; j4 d
Family of estimators, 估计量族6 q' r# a: }$ ~, ?7 s; c
Fanning, 扇面% i9 F' C% L; X' j! x; a
Fatality rate, 病死率
( B- U5 c9 b/ q1 C; I0 G8 sField investigation, 现场调查
% W7 _: T+ b: qField survey, 现场调查
5 X: p4 x/ L& h' l8 o$ SFinite population, 有限总体! m' A( H g( S6 O& \
Finite-sample, 有限样本
; Y% |. J* g) N: @4 yFirst derivative, 一阶导数1 @; |) Q' N5 X, J1 _
First principal component, 第一主成分. _( m F! M* x7 u; i7 [
First quartile, 第一四分位数
2 E% J2 W A! aFisher information, 费雪信息量1 w, T- Y/ F9 G; [# s- K
Fitted value, 拟合值) z' y: ^% J+ v" Y% N3 j0 V9 y/ b" R
Fitting a curve, 曲线拟合
0 g7 v- p. T$ X7 x( b( OFixed base, 定基" [4 f+ @) K6 d; {, `0 n. m: W
Fluctuation, 随机起伏* Q& ^2 o3 E& ]& j& P6 m+ S
Forecast, 预测
2 R- S! X7 V- GFour fold table, 四格表; k6 y H) h! R+ c
Fourth, 四分点
0 U+ l$ R2 q0 s+ J8 kFraction blow, 左侧比率
" ^- y; u) ?/ a2 {" KFractional error, 相对误差: [" {! Y4 E& Y& c9 D8 j {' E2 u
Frequency, 频率
1 ~- J7 Z, C1 c. pFrequency polygon, 频数多边图1 A! m: j7 H0 O2 M; ~7 Y
Frontier point, 界限点
" W4 v: h0 H2 E9 ~% IFunction relationship, 泛函关系
, s1 V6 t$ e! b: |% M& hGamma distribution, 伽玛分布5 V/ Z' @& b/ M* C4 S4 n0 z
Gauss increment, 高斯增量
* E" Q# X# ~! BGaussian distribution, 高斯分布/正态分布
" X" S; d( _- W9 R4 ]Gauss-Newton increment, 高斯-牛顿增量5 h/ u' ?6 H0 H8 @
General census, 全面普查
: A( @6 B* d/ l6 [( VGENLOG (Generalized liner models), 广义线性模型 : S% R: ~5 U7 r: m0 K/ G
Geometric mean, 几何平均数: X- E0 R; M5 O, }. u9 C$ G
Gini's mean difference, 基尼均差
# k2 }& r/ U6 U+ EGLM (General liner models), 一般线性模型
1 ?6 q# h0 A, h0 YGoodness of fit, 拟和优度/配合度
# [; K! K* Q- G& D# ZGradient of determinant, 行列式的梯度/ G9 m0 w' m8 X/ v
Graeco-Latin square, 希腊拉丁方) q; a6 {* z; \2 C
Grand mean, 总均值
& k7 N2 J1 Z: Y8 A3 }. M6 oGross errors, 重大错误9 V! s( v: N) g/ W6 \6 _$ }! N- ~! @
Gross-error sensitivity, 大错敏感度- {% c' M3 S3 `% j8 ?, `+ c9 F8 l
Group averages, 分组平均$ a: ^+ A% x4 H) w
Grouped data, 分组资料
: R& z8 o1 {2 e0 P* LGuessed mean, 假定平均数* m8 x& y0 r! A: G
Half-life, 半衰期% n; |, A0 Y4 Z" H! h
Hampel M-estimators, 汉佩尔M估计量8 [0 H" S' B5 S, J0 v/ ^- V- w1 e
Happenstance, 偶然事件
* {* l* q3 A z- W0 w* l' k0 dHarmonic mean, 调和均数! v/ Z2 [* i, E: m
Hazard function, 风险均数
; ?$ u' s6 ]3 i3 X; X, T- V% d* zHazard rate, 风险率& r2 \& a6 t) o0 g- j/ @
Heading, 标目 ) K0 }1 J N1 }+ L7 r- E- l$ L$ [
Heavy-tailed distribution, 重尾分布6 \4 Y0 v! f6 R9 K% Q
Hessian array, 海森立体阵/ r# C2 F/ s8 r" b2 h# ]
Heterogeneity, 不同质
( s- r4 R6 b/ S e- H1 MHeterogeneity of variance, 方差不齐
6 L* |$ H1 P- ]( @' pHierarchical classification, 组内分组0 R" _/ L; u- F1 a- U* t7 ~
Hierarchical clustering method, 系统聚类法4 {! r4 h# U7 I7 ~# T4 a# n0 f
High-leverage point, 高杠杆率点
/ F/ y+ L; [$ x. ZHILOGLINEAR, 多维列联表的层次对数线性模型
' F6 G) [2 R* n ^3 RHinge, 折叶点3 V0 ]( R7 D4 c8 S$ j# H8 E
Histogram, 直方图# l# k/ a. O& Q/ f" F7 s3 M
Historical cohort study, 历史性队列研究
2 ~0 o8 l+ ]8 M$ I' aHoles, 空洞: l! A) G6 B! e
HOMALS, 多重响应分析$ V. C( `, q5 e6 ?
Homogeneity of variance, 方差齐性1 L8 t8 F+ I X6 N8 E2 r
Homogeneity test, 齐性检验
. x+ X/ b% g ~/ ^/ NHuber M-estimators, 休伯M估计量$ a a) L# J6 A* H! h2 r
Hyperbola, 双曲线, {& ]5 x! h/ b7 i
Hypothesis testing, 假设检验0 q5 V8 j+ T& @, w. Z" Z
Hypothetical universe, 假设总体- p3 V% V+ N& h6 V2 p; v
Impossible event, 不可能事件* c8 q3 l0 I* W; O- {
Independence, 独立性
) n4 J9 q( w, \$ J( aIndependent variable, 自变量" s& l3 S8 g- L7 I9 k# y, ]: z9 @% g
Index, 指标/指数
8 b' C0 E8 x8 N6 A4 M- hIndirect standardization, 间接标准化法3 T q* E$ _1 o
Individual, 个体
/ n1 f) z, D$ Q+ N$ h/ I& qInference band, 推断带/ m: k! Y' l% M
Infinite population, 无限总体
, T$ [! J* ]/ n3 x( }( V2 M. uInfinitely great, 无穷大8 w# Z% B$ y- f# d! ^7 t# n
Infinitely small, 无穷小 E5 ?& b8 J( I# @
Influence curve, 影响曲线
& W6 V @/ [3 t+ U- tInformation capacity, 信息容量# I& ~6 f5 i) I1 T! s9 R) \. U% a
Initial condition, 初始条件
" h+ E3 z5 p, V- L2 ?# {Initial estimate, 初始估计值
@. [# x8 @; ZInitial level, 最初水平/ N; L8 n. c7 f* D3 c' D
Interaction, 交互作用
6 R$ k+ q, _) n7 {4 WInteraction terms, 交互作用项* K* P- m! @) W
Intercept, 截距1 R- v1 O3 f# \2 {3 E; `
Interpolation, 内插法; @9 M6 b/ D/ C I4 I
Interquartile range, 四分位距4 ^6 O8 K$ h6 B6 s1 m$ I
Interval estimation, 区间估计
( W2 n6 B8 y: @, k) T% nIntervals of equal probability, 等概率区间
. a% h. [% S6 Q3 l N$ c" [Intrinsic curvature, 固有曲率( v7 s0 E5 w! z
Invariance, 不变性
: w# S! j6 o( kInverse matrix, 逆矩阵
/ u" P- H, w. G( b0 ^! X( LInverse probability, 逆概率
6 y" t/ F+ t; w Q3 b. e: GInverse sine transformation, 反正弦变换
, D0 g" F9 G& z% t, k/ R- ?3 }Iteration, 迭代
6 ?) p- A; ?3 }+ C; g& P+ }2 u1 MJacobian determinant, 雅可比行列式
1 b" `8 [4 j$ K# W7 i3 \Joint distribution function, 分布函数
4 @# a4 r. N# ^5 V/ H& t8 w8 J& qJoint probability, 联合概率1 E" l/ M1 ~0 e; J2 H
Joint probability distribution, 联合概率分布6 @* J/ B! i+ Y9 L
K means method, 逐步聚类法# C' \ J; x, ~# m: W. D
Kaplan-Meier, 评估事件的时间长度
3 ~3 E2 g s5 T* Z ^$ ^Kaplan-Merier chart, Kaplan-Merier图
# j! E+ S( V0 h2 u4 tKendall's rank correlation, Kendall等级相关
% s9 T' {% u5 q0 i! h* U8 xKinetic, 动力学3 |, ]* x: \5 P* j2 N
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验% Z3 q5 l0 Y7 `0 X0 V; N
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
2 J8 s1 D2 j! _5 O; q: vKurtosis, 峰度
* J& f' R. o" k8 l# C2 p/ ?1 zLack of fit, 失拟" _; H4 ~( r4 E* T) {8 b" @6 u% @
Ladder of powers, 幂阶梯
# a5 C* Z/ [2 g2 sLag, 滞后
- {2 @0 M7 X" X$ r9 \& p( zLarge sample, 大样本& @1 J, [ W! j) K/ G9 z
Large sample test, 大样本检验8 G. |" z5 a5 m2 L- t9 Q
Latin square, 拉丁方
2 F- y( v- H% J6 |9 \: g+ HLatin square design, 拉丁方设计9 e8 f+ |) x: w
Leakage, 泄漏
3 E q, q- x( {& T$ P k' f5 [Least favorable configuration, 最不利构形
8 m7 m& W8 H8 m9 f% H+ vLeast favorable distribution, 最不利分布$ i$ |7 ?) r, Z" y# c9 L! {' T( U5 o' {
Least significant difference, 最小显著差法, W, L+ n5 L0 k0 r7 H' d3 Y* q
Least square method, 最小二乘法
3 @- ?7 w6 I( F& yLeast-absolute-residuals estimates, 最小绝对残差估计4 O8 }2 y/ R, }& \( o: z
Least-absolute-residuals fit, 最小绝对残差拟合
5 l1 x9 w9 ~# K E4 b( a/ [Least-absolute-residuals line, 最小绝对残差线; r' L! e/ \" x B& k
Legend, 图例
( ^2 Q2 N. l& F9 D# w' b& IL-estimator, L估计量 M0 E2 H/ { E+ h0 T, Y
L-estimator of location, 位置L估计量
6 B) z% ?) k3 T nL-estimator of scale, 尺度L估计量
( V9 v0 p9 H& ? |/ t5 ]Level, 水平9 [" W* Y. x4 D) S
Life expectance, 预期期望寿命2 D7 D3 M0 F" s; V* Y, g
Life table, 寿命表- j( {7 l9 t3 `7 A1 ?# N( [
Life table method, 生命表法
9 y+ f% n+ O- r% n- o) s& V! ~8 pLight-tailed distribution, 轻尾分布, `& }& N. `- \) a
Likelihood function, 似然函数
1 Q/ f) x" m$ u* ILikelihood ratio, 似然比! L, b. E: l3 l# y
line graph, 线图' v/ j, ]6 j; X3 e, G7 F+ U
Linear correlation, 直线相关
3 \7 l& ?0 y, J: r* K4 O1 l; l6 m4 P qLinear equation, 线性方程 j# w- P" E" G9 L3 [- }
Linear programming, 线性规划
. X! `- R3 p& P0 z2 eLinear regression, 直线回归
9 o. u5 J) }3 B( vLinear Regression, 线性回归
' h# B) ^) U; ^5 W3 ~# p* L pLinear trend, 线性趋势
8 k2 z5 n- z0 ?1 Y2 a3 YLoading, 载荷 ]. [! A8 F& k+ q1 q
Location and scale equivariance, 位置尺度同变性3 |, X+ z- b9 Y6 T2 e* I! |
Location equivariance, 位置同变性
/ K5 r& B6 l6 C. l5 wLocation invariance, 位置不变性
% m8 t! ~/ n. z. [. |) bLocation scale family, 位置尺度族
* F' K4 |' F! L* z. E4 HLog rank test, 时序检验 . x9 A- M7 ?. h& o- o
Logarithmic curve, 对数曲线% d7 }9 z3 e4 S( P. t7 \* E9 T- d
Logarithmic normal distribution, 对数正态分布 N8 u2 k' n( e( c+ A
Logarithmic scale, 对数尺度; K) V2 l6 q% \- [3 k* m
Logarithmic transformation, 对数变换2 y# U" t+ N6 E+ K3 @* u
Logic check, 逻辑检查
: V0 J8 _& R! Z4 S% QLogistic distribution, 逻辑斯特分布9 h4 s. V+ j6 [/ V: I9 J
Logit transformation, Logit转换7 B/ b2 X, ~' W/ {
LOGLINEAR, 多维列联表通用模型
# Z3 s& H. Y5 ]4 QLognormal distribution, 对数正态分布
3 ?7 i% [5 a- {2 ~" [Lost function, 损失函数1 h4 Q: m7 l6 Z
Low correlation, 低度相关
, y" p9 v- Z6 L0 HLower limit, 下限& z+ n) `) x7 w8 u% f: w( U
Lowest-attained variance, 最小可达方差 u" S# n& g' W2 n7 g# X9 j9 d V
LSD, 最小显著差法的简称
; `2 F1 h6 T1 E5 q& a& SLurking variable, 潜在变量
5 i0 J: J) L% }. a' cMain effect, 主效应
3 q) |% }% j7 {0 F1 l6 M( h: M6 TMajor heading, 主辞标目
2 Y5 k g% [) z4 A1 T, MMarginal density function, 边缘密度函数+ Q4 a, R) u' Q3 k
Marginal probability, 边缘概率
& S6 [5 S. M% GMarginal probability distribution, 边缘概率分布
, Q) W4 c; K: d+ j4 G# n: g- mMatched data, 配对资料; p% r* d. k1 m$ t
Matched distribution, 匹配过分布
/ Z! R* y) L5 s7 a; X3 Z: i# PMatching of distribution, 分布的匹配1 ]# |. N& e) V! H
Matching of transformation, 变换的匹配: g& @9 `; N* \- A6 U( P' l1 C
Mathematical expectation, 数学期望
7 D7 d* @: {- `$ [6 J8 y- aMathematical model, 数学模型
1 v1 }6 Q2 k; g- m" CMaximum L-estimator, 极大极小L 估计量
4 ]8 r8 G4 z) |Maximum likelihood method, 最大似然法
7 G$ n6 V* p2 v9 rMean, 均数
, @- D8 {+ d9 l |1 ?Mean squares between groups, 组间均方6 u4 D" q$ E' u- q
Mean squares within group, 组内均方1 I+ J$ R/ d9 p: v1 [9 A) n2 q% o
Means (Compare means), 均值-均值比较
& t4 t. o; t1 Q" JMedian, 中位数! J1 a/ f7 R) w; c6 \) O$ x h
Median effective dose, 半数效量
$ v R0 k5 L, L/ G3 k7 T. R( dMedian lethal dose, 半数致死量
) z% Q0 e2 N" P1 I% ]; ?Median polish, 中位数平滑/ A! y' t4 I2 e+ j$ o+ o7 S
Median test, 中位数检验/ ~2 k6 F) J: p/ m* ^! J" u" w& O
Minimal sufficient statistic, 最小充分统计量
/ B$ O1 b5 k6 d7 c8 Y# a* AMinimum distance estimation, 最小距离估计
L, {) z. F3 v) DMinimum effective dose, 最小有效量5 }8 I+ I. ?2 N- e; N( [
Minimum lethal dose, 最小致死量' k1 y4 r: |8 k4 d
Minimum variance estimator, 最小方差估计量
! K% \4 u- w [: o- c8 }MINITAB, 统计软件包. k7 {( F9 u1 I' \: g7 e
Minor heading, 宾词标目
1 \3 [/ i9 C! G+ F# f$ @, ZMissing data, 缺失值
$ D1 @/ X# `( Q1 w' bModel specification, 模型的确定
8 V; j6 u0 r4 W2 j0 }# a7 g0 aModeling Statistics , 模型统计
5 W) a0 l- e/ `/ r! d* L* AModels for outliers, 离群值模型
! m2 h/ W. \1 BModifying the model, 模型的修正
B) u- w' `, m4 H& q# }' lModulus of continuity, 连续性模
+ L+ }1 R& h' s! f i4 t3 d# k) BMorbidity, 发病率
: H% j5 r) h1 l' e9 \- o( G( YMost favorable configuration, 最有利构形& y* Z, P0 \7 w$ G$ U8 x+ D
Multidimensional Scaling (ASCAL), 多维尺度/多维标度( x3 H- ~8 r/ W1 M( W2 Y
Multinomial Logistic Regression , 多项逻辑斯蒂回归
9 a4 `( ~0 Z1 v! B: k2 y: a, AMultiple comparison, 多重比较, l: p' R% `* Q8 v
Multiple correlation , 复相关
+ {8 t& o I& |& a! ?Multiple covariance, 多元协方差
/ n3 [- \3 @+ O& V' b9 DMultiple linear regression, 多元线性回归" c+ S9 |% R s
Multiple response , 多重选项
O* Y/ z6 w3 u( v6 CMultiple solutions, 多解: X5 e. \- M6 e# L# K' R( s
Multiplication theorem, 乘法定理
O q. e+ G: z4 N }9 ?Multiresponse, 多元响应! U6 h7 S3 c+ q/ T
Multi-stage sampling, 多阶段抽样* \% C; b# I! k! [% m* L
Multivariate T distribution, 多元T分布# K( z9 n4 s$ r- L
Mutual exclusive, 互不相容
! F$ v+ F; r8 n0 e( N, `' ZMutual independence, 互相独立
9 P) h7 r* m5 p1 K" V& PNatural boundary, 自然边界
0 F: Y' m, V) F* u3 d1 o! w3 H+ RNatural dead, 自然死亡! H. @7 A R1 @# c% s
Natural zero, 自然零: m2 k* ?) Z1 `. y
Negative correlation, 负相关0 l* b% W+ ]3 i* u9 O# ?2 l; ~
Negative linear correlation, 负线性相关
- ]3 O7 l9 \& ^$ T7 v& S. VNegatively skewed, 负偏
+ M3 \& z; I3 B s/ N6 M& XNewman-Keuls method, q检验
0 d/ j+ a! A2 nNK method, q检验; ^7 e2 b- x0 S, t+ ]: [
No statistical significance, 无统计意义2 B% s* M' ?; z$ k8 d3 V
Nominal variable, 名义变量
+ J% t0 _! V8 ?! Z/ W9 YNonconstancy of variability, 变异的非定常性
: w9 c( X! E; y- r1 p) oNonlinear regression, 非线性相关
/ k- v% p) y+ P7 |/ ~9 y: P& B- ENonparametric statistics, 非参数统计% }8 K1 h- J, b4 }+ z( w8 [2 A
Nonparametric test, 非参数检验
; t6 o/ k* M( l0 R8 F2 a7 ENonparametric tests, 非参数检验5 c+ j6 O4 l# G6 {$ z- v' M
Normal deviate, 正态离差' L/ z; d. v' \7 C- n Y% p- E8 B b
Normal distribution, 正态分布
2 c! G! Z3 l2 o( f: [" x. MNormal equation, 正规方程组
0 a0 C0 [! o7 a4 d% s" S9 ~Normal ranges, 正常范围2 {% T% E) n) M3 X' H! P
Normal value, 正常值 n# f" Q4 R# C$ J6 g8 a
Nuisance parameter, 多余参数/讨厌参数
. g3 I' s* l- sNull hypothesis, 无效假设
( O) B2 v. F/ z3 qNumerical variable, 数值变量/ z0 c' D' ]- t$ O: Q
Objective function, 目标函数
U. {) ]& S+ w4 A; c& ?/ ]* m: oObservation unit, 观察单位; V- J& P" {* w, K j
Observed value, 观察值
% u( g% u0 W! S7 H, u# D ?One sided test, 单侧检验0 U( ?7 \8 G4 d4 J
One-way analysis of variance, 单因素方差分析/ y/ y9 C: i. E4 y) ?$ o8 [% p# b
Oneway ANOVA , 单因素方差分析) n& T5 F2 b1 J$ u/ f; B
Open sequential trial, 开放型序贯设计
- g) z. B6 r, b+ Q* BOptrim, 优切尾
. F7 v) N; Q3 N! c5 AOptrim efficiency, 优切尾效率
V# I" o3 ?/ o0 p. C3 I+ sOrder statistics, 顺序统计量5 A7 ^/ n( q0 f7 u, p- t# ~. \
Ordered categories, 有序分类
% c, }/ }; u: S2 \& T7 zOrdinal logistic regression , 序数逻辑斯蒂回归+ L7 N1 v& J& V5 F* b+ l5 ^3 _4 V
Ordinal variable, 有序变量
- |/ \* r$ b* I. k6 s( p" s7 U' R4 dOrthogonal basis, 正交基. E) z; S, z2 w. y! {; M
Orthogonal design, 正交试验设计
* d2 m6 l9 z6 U* ?3 C* d+ zOrthogonality conditions, 正交条件! b% k* A/ s: D& {0 J
ORTHOPLAN, 正交设计 8 A( |! ]" B p, i! H- {# k6 W7 r' F
Outlier cutoffs, 离群值截断点
3 g, F i1 ?. MOutliers, 极端值
: C! G2 `* k* H$ QOVERALS , 多组变量的非线性正规相关 , o8 {8 ]: I+ }4 p8 Y1 `
Overshoot, 迭代过度+ \" p$ o/ L9 u: p+ j; W/ f% t
Paired design, 配对设计
4 o5 a( i. p+ f' l& l$ ~Paired sample, 配对样本3 e" d( `0 l8 V' s
Pairwise slopes, 成对斜率
' Q7 F; l+ r5 SParabola, 抛物线% M8 w# C* i! F$ r/ ~5 \
Parallel tests, 平行试验
& l2 t3 U4 v; ]- TParameter, 参数
7 \) C* |: m. o K$ g2 S% xParametric statistics, 参数统计
# F8 z# d- z( @) b+ L5 fParametric test, 参数检验2 O# @7 k! b! s! z* | M. H6 t
Partial correlation, 偏相关# ?0 l3 ]- t8 q
Partial regression, 偏回归
' Q9 Z9 _. Q% O7 N# gPartial sorting, 偏排序
* `7 Z7 A: E! H8 Q. J! xPartials residuals, 偏残差
2 h# p; U0 ]0 X+ o& RPattern, 模式& b5 z* r5 B3 R
Pearson curves, 皮尔逊曲线
; \2 E% D* j6 }! W0 K. h3 cPeeling, 退层" x; i$ L9 L) L: b$ Q
Percent bar graph, 百分条形图7 I, l6 y7 h a9 k" l' j0 Q
Percentage, 百分比; }) g" A9 i4 T0 i5 k/ i0 y |
Percentile, 百分位数
x" o1 I$ @1 ?& o3 [$ wPercentile curves, 百分位曲线. r9 l( r# E4 Y
Periodicity, 周期性! |* f1 @1 f- p2 n, O, X
Permutation, 排列
7 s( Z7 N, O$ m$ ?5 i5 mP-estimator, P估计量
6 K) E9 u8 w0 g. ]. H1 CPie graph, 饼图0 a4 R$ `4 o/ B+ O1 T
Pitman estimator, 皮特曼估计量
9 g. p) |2 R. L, ~6 [4 F8 ZPivot, 枢轴量9 j2 R2 P0 k3 W/ p( \& Z
Planar, 平坦+ V) v/ d1 c( D, X1 ^2 F8 K
Planar assumption, 平面的假设# }- _+ Q/ u; _0 G1 W1 b
PLANCARDS, 生成试验的计划卡
7 s( ]4 B [! H3 p; DPoint estimation, 点估计% A2 u: K1 |% N5 q+ ~- R3 l+ |
Poisson distribution, 泊松分布
1 Q$ Q9 X' t( b3 XPolishing, 平滑
7 l3 O9 [4 |& A* @! F" j9 oPolled standard deviation, 合并标准差3 t- F6 s& s7 K5 p. N% k
Polled variance, 合并方差/ H p# z2 r" U" U9 c
Polygon, 多边图$ c4 u0 y. Z# ~* s0 P& y
Polynomial, 多项式# w# I6 u$ R! H. [' i0 i
Polynomial curve, 多项式曲线
3 N+ N k( J {9 B. @9 a- @* w# JPopulation, 总体
# x+ H" l) G2 }! d" o+ QPopulation attributable risk, 人群归因危险度
" x! y# ^2 c. r' q/ T! e) y* k# JPositive correlation, 正相关" | l% {( }" d7 r- {
Positively skewed, 正偏0 n9 `4 b2 N. i3 `3 v* o
Posterior distribution, 后验分布5 h/ z5 {7 F; k9 E! o& }8 ~& N2 z
Power of a test, 检验效能
: p3 \5 X! Z3 ~4 `Precision, 精密度! y- e5 {. v3 y- }/ ^0 X
Predicted value, 预测值/ j( L; Y9 t" S- C& p. }' h
Preliminary analysis, 预备性分析
* A2 p m8 \# G: sPrincipal component analysis, 主成分分析. Q. H5 w1 d6 q# Z- I9 Z
Prior distribution, 先验分布
& }0 k! f- Z9 n% i) d% r: RPrior probability, 先验概率
+ X& K* O' H8 E' I: c( T QProbabilistic model, 概率模型6 ~' A# z8 B+ m! Q
probability, 概率" i" e' F- p/ G+ y! H0 z
Probability density, 概率密度, g, k& v- s' C( D3 ~1 y
Product moment, 乘积矩/协方差
7 W$ g E7 G% uProfile trace, 截面迹图
& q; d( n9 w( g. jProportion, 比/构成比
# P# d" G$ }/ e' E/ O1 p9 A2 XProportion allocation in stratified random sampling, 按比例分层随机抽样
& ? J0 y0 n, e* MProportionate, 成比例) R& \8 z0 ]: }' R
Proportionate sub-class numbers, 成比例次级组含量: f3 m2 h- o; \. `9 t; `% K
Prospective study, 前瞻性调查5 ^, l) X" a, w+ v+ c f2 y1 `
Proximities, 亲近性
2 u( i% n( L9 w' v. }" {Pseudo F test, 近似F检验( O: Y7 z6 v! R( ]
Pseudo model, 近似模型
9 V$ a# g; J. T/ T' M, _Pseudosigma, 伪标准差
+ D! X7 C) [ J# j2 T& [/ TPurposive sampling, 有目的抽样4 u3 G# A1 s8 w: J! ?, N h
QR decomposition, QR分解" Z4 `# a% q w+ l" l1 Q
Quadratic approximation, 二次近似8 s @; Z% @* E f
Qualitative classification, 属性分类7 z+ c; i2 x/ r; B5 m" k; N
Qualitative method, 定性方法
; Z# M% a; Y2 r5 _Quantile-quantile plot, 分位数-分位数图/Q-Q图( C2 c0 B6 ]& y3 q
Quantitative analysis, 定量分析
1 j) z- j& k9 ~/ I, h0 VQuartile, 四分位数/ d, q, k& [ U# }; S: m& n
Quick Cluster, 快速聚类
! t$ K; O* M' N) t3 _Radix sort, 基数排序/ Z9 D* D( F0 b0 }7 \! N
Random allocation, 随机化分组" u5 c, r9 N" k! ~ ~( t- `
Random blocks design, 随机区组设计! p4 ?( i0 [1 `# j. ^( V7 e& s) @
Random event, 随机事件
% b, }& k1 ~, T- [0 t" LRandomization, 随机化
- ?* m2 h+ K, ~) j v% URange, 极差/全距( u5 r* `% Z2 H6 O: o
Rank correlation, 等级相关$ C l% O; q% ^4 o r' \
Rank sum test, 秩和检验
( D3 w- E0 ?/ {# w" q0 }Rank test, 秩检验
5 M! w. P- S# v8 E8 q* D ?Ranked data, 等级资料/ Y6 C2 v" ?6 S& K
Rate, 比率% K# c' T* x) {* q+ D
Ratio, 比例$ i& b- {/ b" }; n0 U# E
Raw data, 原始资料0 x. V& |; T( X. h5 r# z3 s! }
Raw residual, 原始残差& i4 ~* }" q; K' ?) l
Rayleigh's test, 雷氏检验
4 s3 [& J5 K& ]1 ?. `/ s" ]& t5 F1 L& DRayleigh's Z, 雷氏Z值 $ ~" {% i0 |4 o5 u$ l
Reciprocal, 倒数1 r: L2 y2 a4 h: `' g% B2 C
Reciprocal transformation, 倒数变换$ t- n+ c# x- l1 o
Recording, 记录) g8 B$ e7 T, w) V+ U
Redescending estimators, 回降估计量
1 o7 {1 q" G" E" k$ @) r% B- E+ fReducing dimensions, 降维8 L$ s/ {: u) I+ p* ~: P
Re-expression, 重新表达4 I4 O5 L9 o* E- G; M. c
Reference set, 标准组5 x/ q/ D3 p m3 r0 V
Region of acceptance, 接受域. c% l& b' h% n! R
Regression coefficient, 回归系数2 A2 V* q0 L/ L( e) f+ @
Regression sum of square, 回归平方和6 \$ P4 t$ {3 H. @9 q+ ^* J
Rejection point, 拒绝点
H8 o a V/ a4 ^3 b' fRelative dispersion, 相对离散度
; [% }/ ~! D j" _Relative number, 相对数' c' @3 y) m! x6 U" i
Reliability, 可靠性7 B' V2 b9 i% |& b: _; _- ]
Reparametrization, 重新设置参数
3 c9 n W& e0 ]" Q8 dReplication, 重复& T5 @! } P3 k& J
Report Summaries, 报告摘要. T( d& s( F9 k, l" p; Q
Residual sum of square, 剩余平方和 \4 B$ m4 ]% U- {) T" ]
Resistance, 耐抗性
7 h2 T( z4 O1 W! z4 u2 IResistant line, 耐抗线
2 h. l! u) R; X, \Resistant technique, 耐抗技术
$ P# e: p/ t5 ]+ t! P, l7 q1 uR-estimator of location, 位置R估计量
+ ~' o( `. f$ e" V( RR-estimator of scale, 尺度R估计量
7 o* c' V7 r4 p0 _& t8 N# Y/ pRetrospective study, 回顾性调查3 `3 w" l s$ r0 v: [
Ridge trace, 岭迹
1 t- Z6 M( `8 q1 G5 CRidit analysis, Ridit分析! u+ W: C$ W1 R- @5 k- T
Rotation, 旋转* V' K# G- n4 g8 b# n8 O
Rounding, 舍入" Y, H& t" L! v( g0 A5 i
Row, 行
3 k0 x- Q- p) {- _Row effects, 行效应3 p7 z' m4 M4 R( ^
Row factor, 行因素
" W) i9 X6 V3 L7 G+ oRXC table, RXC表
3 ^- E! h+ S0 W* Q& j" I! DSample, 样本
7 Z% H) v0 s* lSample regression coefficient, 样本回归系数
5 l6 E! t. A9 Q! _; WSample size, 样本量
8 D- L( g, T ]& O+ i2 {Sample standard deviation, 样本标准差4 v' N" p( ?% j4 S
Sampling error, 抽样误差 P$ j; O# N! {
SAS(Statistical analysis system ), SAS统计软件包& R: M& o3 {" ]9 i# s+ D
Scale, 尺度/量表
' X3 t- o" U& ]7 X. AScatter diagram, 散点图$ r/ _" F2 O! X; `/ j+ P& l3 b1 x
Schematic plot, 示意图/简图
' z* h" n; C* E0 a- y4 f% m" vScore test, 计分检验
- {: m8 A& T% | LScreening, 筛检
3 o3 ? M+ [9 q7 e9 hSEASON, 季节分析
1 ]' B+ _1 W$ U3 g& aSecond derivative, 二阶导数
( R( `% N' K# n$ r" [: h- @Second principal component, 第二主成分( E$ E- d, p) P
SEM (Structural equation modeling), 结构化方程模型
; ^! m, Y; U7 Z p9 OSemi-logarithmic graph, 半对数图
. s/ f1 K5 S( ?0 m# Q) U: s# GSemi-logarithmic paper, 半对数格纸- P- M8 P( l) o& h) L7 M
Sensitivity curve, 敏感度曲线
4 ]+ c$ b6 {0 H; { I/ b6 e0 `8 xSequential analysis, 贯序分析, U. }6 u6 k* v* t6 o: `- q1 @
Sequential data set, 顺序数据集: h# ?2 d4 k* \% p4 |
Sequential design, 贯序设计
& m% h1 a" z( H7 r3 J$ t, SSequential method, 贯序法. ^; ~( `- f; |8 q) L5 r; l) x' q
Sequential test, 贯序检验法# J5 c3 n1 V& f# K
Serial tests, 系列试验# q# t: t: P: Z* E
Short-cut method, 简捷法
6 M# M [' {1 QSigmoid curve, S形曲线+ h. ]! D9 T8 v5 U; O
Sign function, 正负号函数7 d& _0 X8 @ C" F& N' Y8 ~; m9 V! O, P
Sign test, 符号检验
6 f- e* s* M$ P# z% w' F8 _2 WSigned rank, 符号秩
6 C7 s7 }2 f1 _' i( w; lSignificance test, 显著性检验
, x. ?; j" v7 s: _: z9 t/ x% PSignificant figure, 有效数字
t" R, `1 O# V7 P; J$ sSimple cluster sampling, 简单整群抽样
" x. O9 `0 i B A4 ZSimple correlation, 简单相关
, u' v9 M/ E% d8 v" ^Simple random sampling, 简单随机抽样
1 k. Z$ w" k8 U& l! L7 h. r' T1 C6 ~5 rSimple regression, 简单回归
7 P8 ^3 F3 w0 s% _( H" r1 ksimple table, 简单表
, O' n$ g. b7 |% h& x- qSine estimator, 正弦估计量2 s) A7 u( A* v
Single-valued estimate, 单值估计
. v4 U! ]7 j4 |+ oSingular matrix, 奇异矩阵
! u0 ^8 }$ B9 [. g! C8 rSkewed distribution, 偏斜分布
_& H. T8 I; s" L9 i! J# n. r' kSkewness, 偏度4 v" L( x( `5 K
Slash distribution, 斜线分布# T8 h @9 L4 n( S0 d
Slope, 斜率
3 R' Q8 r1 v- oSmirnov test, 斯米尔诺夫检验% g8 m3 @) _. a6 R$ a+ ?% b* z7 Q: c
Source of variation, 变异来源
) a3 L& Y' s W" vSpearman rank correlation, 斯皮尔曼等级相关
5 b3 A1 g4 [ r& kSpecific factor, 特殊因子1 v2 R( q) A3 F. {0 b7 j
Specific factor variance, 特殊因子方差
, c, `. `& i, |0 jSpectra , 频谱
) V/ r: a) R7 |% `& w9 |Spherical distribution, 球型正态分布
9 O) |8 l9 _7 A) V& @3 b3 u3 s; J' bSpread, 展布: @$ O4 \6 ?) w% ~$ W( I! _
SPSS(Statistical package for the social science), SPSS统计软件包) _4 @; }9 f8 z# Y! z
Spurious correlation, 假性相关" j" ?2 l8 X+ e! \/ f* ^! P+ R) t1 [
Square root transformation, 平方根变换
0 Z# Y' x) Y9 x% d* p! e& |. v/ VStabilizing variance, 稳定方差
! _$ x; h# t7 L: MStandard deviation, 标准差
7 j+ T6 A& G( _ WStandard error, 标准误
4 n' j! @0 m# X; |( g: b% \Standard error of difference, 差别的标准误
A- ]8 W1 k' e/ eStandard error of estimate, 标准估计误差3 H1 O2 [& {% E( J% x3 t f1 r
Standard error of rate, 率的标准误
& z" ~# o9 h. n9 @Standard normal distribution, 标准正态分布: j o, w* R7 v4 v9 k3 r) K
Standardization, 标准化
7 Y5 d1 P- K2 b; m8 L* VStarting value, 起始值9 [- P( G2 \; R# x# E
Statistic, 统计量
3 ?" X4 ]5 U/ Z" iStatistical control, 统计控制1 V* G* ]( N6 S7 F
Statistical graph, 统计图- Z0 B( R* q' B; v+ }6 B& x0 V
Statistical inference, 统计推断
; R# E& z! P! b' OStatistical table, 统计表% d& `9 S8 d1 z4 e
Steepest descent, 最速下降法
5 u+ Z1 O" o9 o; u w# ^0 k4 gStem and leaf display, 茎叶图
3 i( [1 k l" K+ Z, J0 c9 zStep factor, 步长因子
4 l3 y2 l1 }& J0 y( q8 UStepwise regression, 逐步回归
9 k. a; r0 @) \: N q6 l+ YStorage, 存8 @ m; j5 U% ^6 R* |
Strata, 层（复数）/ n" Y f' A- H2 C1 q/ Y1 M
Stratified sampling, 分层抽样2 G3 Y9 [. e8 S6 o- T% _! R& L
Stratified sampling, 分层抽样( e2 N% F* n2 n& c8 y; L3 i6 M6 ?, O
Strength, 强度" m' L8 o: X$ {, p( D( s4 C
Stringency, 严密性2 @: a( H( h& r7 S
Structural relationship, 结构关系
0 E/ ~( l% Q3 v2 ?) fStudentized residual, 学生化残差/t化残差* z5 L% b; S2 d
Sub-class numbers, 次级组含量
6 L4 Z# A8 {! YSubdividing, 分割
6 h; T0 @3 ^* ^& I. B2 I# G& z( ySufficient statistic, 充分统计量% j/ r! J# J) C6 R8 |
Sum of products, 积和% U( ?4 C% P+ f3 T h3 D, g9 d" e
Sum of squares, 离差平方和
d. x% m; }. W' \Sum of squares about regression, 回归平方和5 X% f0 m" v. f/ C; G) K3 e
Sum of squares between groups, 组间平方和
$ _8 ^( {0 ?0 H- R5 YSum of squares of partial regression, 偏回归平方和: ]! G' N ] {6 T M1 d
Sure event, 必然事件
. w/ [3 Y- q k' z3 c- j( @0 H1 n9 y6 {3 PSurvey, 调查
! e, B0 b' w0 BSurvival, 生存分析
; @+ j' {9 B, i. I$ OSurvival rate, 生存率6 {9 j) C$ ]: A3 T! m x
Suspended root gram, 悬吊根图
) N7 B1 A4 @( F8 p) B# T7 LSymmetry, 对称6 w. T2 Y8 |! L7 X
Systematic error, 系统误差
: J' L e8 R0 q' v3 C8 Y: j4 i5 aSystematic sampling, 系统抽样+ ]& @7 _. S9 v6 a- F
Tags, 标签
/ e0 _7 r! A* G1 U0 ]/ ^8 g% M" s0 n7 cTail area, 尾部面积4 g9 M$ J0 ?# [' Z8 R) f
Tail length, 尾长
7 [) M3 w3 s; k. G1 t& z- A) @4 VTail weight, 尾重
0 V' Z) f( }3 f$ E+ e, N5 W1 {Tangent line, 切线
' N4 ]# ?- E, r9 l: H- T9 uTarget distribution, 目标分布9 x: d" T1 O$ k) I- J# P; v# Y" }
Taylor series, 泰勒级数
: I. v1 E n% m6 uTendency of dispersion, 离散趋势
+ Y. ~3 K! \& h/ [3 BTesting of hypotheses, 假设检验' z/ @5 K3 ]5 U$ g
Theoretical frequency, 理论频数3 E. p% ~& ?* ]. I/ z; y# a# s6 d
Time series, 时间序列
+ \* z1 ?, X. D+ `Tolerance interval, 容忍区间
' A7 e! Z* j7 X4 yTolerance lower limit, 容忍下限8 x: u6 c) W; g/ \; [
Tolerance upper limit, 容忍上限
; t% O. B4 P$ `, @( v# N* sTorsion, 扰率6 r: p' ?0 p [. m2 {, Q9 R
Total sum of square, 总平方和7 t9 X7 O8 X# n- l5 r0 \
Total variation, 总变异
8 z/ B% z1 M- y' M$ |Transformation, 转换
( ?% H( ?1 x' {9 P7 vTreatment, 处理
6 _ C: ?, j0 g S3 \3 e pTrend, 趋势6 r1 P! j) x6 \" u; n- o
Trend of percentage, 百分比趋势
$ p$ f0 s3 O Y) |8 a4 l7 c. nTrial, 试验
, a: K4 u8 }# WTrial and error method, 试错法/ r& m& c5 U* R( v: A" I7 T8 y
Tuning constant, 细调常数) h9 h4 H6 O! m# Q" v$ D7 r! Y
Two sided test, 双向检验: f/ c. q. t2 r( `- V: @4 W
Two-stage least squares, 二阶最小平方. M& x' C# T5 A/ u6 u
Two-stage sampling, 二阶段抽样
1 n: I: f( v# r8 U1 ?Two-tailed test, 双侧检验7 D8 @( N/ d" s4 l: w
Two-way analysis of variance, 双因素方差分析
: [* l7 v7 x- aTwo-way table, 双向表9 o* J7 i% k8 G0 t! \; @( T7 U+ P
Type I error, 一类错误/α错误6 S r; j3 {& O( q# \2 L2 o( _+ C
Type II error, 二类错误/β错误) Q4 |: a' G. k2 X
UMVU, 方差一致最小无偏估计简称% t& c# d$ F( M) {
Unbiased estimate, 无偏估计3 D2 h& n& f6 Q7 ?4 `. J. i5 l% s
Unconstrained nonlinear regression , 无约束非线性回归
3 s! ?2 E) F$ B5 Z7 l+ pUnequal subclass number, 不等次级组含量
c! w4 ^* i& gUngrouped data, 不分组资料
4 h5 o1 Z& B2 P) r% KUniform coordinate, 均匀坐标% G x! `, J6 d
Uniform distribution, 均匀分布
2 @' e, k1 b0 `$ w mUniformly minimum variance unbiased estimate, 方差一致最小无偏估计
+ c: i& c7 Y- J6 d$ G/ y4 V2 j; f& qUnit, 单元
1 c# O3 \# B- B- T/ Q7 p& ?+ RUnordered categories, 无序分类
% L7 I1 w* ~4 v. ]- tUpper limit, 上限7 x' X/ L, D" C, q0 o, r# ?
Upward rank, 升秩. ~0 C8 x7 T) U: ]9 a
Vague concept, 模糊概念
$ e- I+ l) M" f0 u) zValidity, 有效性7 K: z. m4 z U; y& p2 z: B
VARCOMP (Variance component estimation), 方差元素估计
8 |& A/ Y! S& P) B8 W% lVariability, 变异性8 T* }! T/ R, [ {- }
Variable, 变量! K! P% X2 k/ {! T3 v
Variance, 方差
0 Y* w! U; K* V" O' T4 RVariation, 变异
% @* v( o' a# W2 GVarimax orthogonal rotation, 方差最大正交旋转0 l; l6 U/ S0 K* l- p: q5 `8 [
Volume of distribution, 容积( U' R: x* P7 y( f Q# x
W test, W检验
% n8 K0 e q' d6 w" U3 I. w$ ZWeibull distribution, 威布尔分布
# C' m4 E9 ] F( j# [Weight, 权数
3 |/ e- |0 e' ~$ N P6 ^Weighted Chi-square test, 加权卡方检验/Cochran检验$ K# S6 ~, b/ J; v
Weighted linear regression method, 加权直线回归9 W' B; F* @; I. H( o, e: b4 A- R$ g
Weighted mean, 加权平均数" ?7 k7 c$ L2 p, O- c
Weighted mean square, 加权平均方差/ k1 p( ~3 Z, J% @* ?
Weighted sum of square, 加权平方和
7 T4 Q$ R5 A) d2 `Weighting coefficient, 权重系数
: y' v% |( ]3 y1 U) LWeighting method, 加权法 ! X$ A' @1 u9 s8 F2 o: |$ W
W-estimation, W估计量
, _) S- P/ F1 V$ T v1 KW-estimation of location, 位置W估计量! O" j5 p- e3 o- G6 f" z- d
Width, 宽度( E) ?0 ^3 R& \8 r0 x5 h) r% I( [
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验* G& a, ^$ x m; X' M' n- F
Wild point, 野点/狂点0 Y3 ]' x( B9 a6 m9 R
Wild value, 野值/狂值, @) ?7 u& ?! Q5 u2 P. V
Winsorized mean, 缩尾均值; C" G7 U) q0 R, C- }2 T8 t4 u7 l
Withdraw, 失访
0 j3 i0 V/ Q. U! iYouden's index, 尤登指数0 C+ S; i( F4 O% s8 C9 D
Z test, Z检验0 G1 s0 _: r4 k j
Zero correlation, 零相关
' E; ]4 ~, |% WZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
