|
|
Absolute deviation, 绝对离差- d T( Y3 R) C) N) E9 L6 A
Absolute number, 绝对数) ?" y' J3 J' r! R! M% J
Absolute residuals, 绝对残差
0 f- n6 t- H9 d2 c" ~8 u' tAcceleration array, 加速度立体阵9 [+ k2 w& c4 l8 d" ^9 P* q
Acceleration in an arbitrary direction, 任意方向上的加速度' V. ~# @; C6 r' F4 E! U% B
Acceleration normal, 法向加速度
$ ^- M3 P# E. {& fAcceleration space dimension, 加速度空间的维数
. X; q- W5 k! y+ R& gAcceleration tangential, 切向加速度
, E) ~ X. [( ?0 o. RAcceleration vector, 加速度向量0 U7 ~9 r- P% H8 g5 h9 x3 b% m
Acceptable hypothesis, 可接受假设' c5 t3 C D2 \1 j+ e) [4 S4 E: ?
Accumulation, 累积
) j" h D {- h& AAccuracy, 准确度
( s8 q" P$ N; }Actual frequency, 实际频数3 Y \: N+ T9 L, u7 O
Adaptive estimator, 自适应估计量
* l. x9 O5 f z; c, rAddition, 相加) r0 s; }! b6 [1 d9 Z
Addition theorem, 加法定理) q% `; S6 q% [/ h# i& N
Additivity, 可加性
% r- s. P: t0 ^1 G$ OAdjusted rate, 调整率
; \* F$ B6 {" e# JAdjusted value, 校正值 R1 [/ p1 m/ o: k' u
Admissible error, 容许误差- p1 {2 C* w" s3 @* M+ U
Aggregation, 聚集性& I1 o! |/ S' P O
Alternative hypothesis, 备择假设+ m1 r& D- v' {% c
Among groups, 组间
% H' F. d0 G( k aAmounts, 总量8 S3 N3 S! z& P" ^
Analysis of correlation, 相关分析* K6 t* D: c* w* ]4 ~( B
Analysis of covariance, 协方差分析
+ k4 K" L w# ]4 {( o0 F: {5 bAnalysis of regression, 回归分析
7 D! ?& s. ]- I) ]5 _* H% vAnalysis of time series, 时间序列分析
0 z! ]. m# Q2 m* }/ I1 N @# lAnalysis of variance, 方差分析0 ?( w& }4 ^0 F I. J: R. H
Angular transformation, 角转换# _5 p6 j! ~1 v6 v: V9 s* | c2 C
ANOVA （analysis of variance）, 方差分析
" @# I) j: d; l5 SANOVA Models, 方差分析模型+ @; `" ^/ y9 C3 V0 @
Arcing, 弧/弧旋
# g$ c B% [" b7 Z. nArcsine transformation, 反正弦变换
3 |. N2 _+ ~# L% ^; n+ VArea under the curve, 曲线面积
: p1 M' A7 P, xAREG , 评估从一个时间点到下一个时间点回归相关时的误差
' c; |8 d" Y& w. \ARIMA, 季节和非季节性单变量模型的极大似然估计
' P' N0 {1 ]1 Y0 K; E- yArithmetic grid paper, 算术格纸
( P# D+ c& Y4 }, ~Arithmetic mean, 算术平均数. R5 Y+ e- ~% V" X! v% F" r" S
Arrhenius relation, 艾恩尼斯关系
t+ o9 e# A, R9 X* C% O' Y+ |! wAssessing fit, 拟合的评估- M* Q& | E4 w' H) D; A
Associative laws, 结合律# \" \# k8 Q2 S( N
Asymmetric distribution, 非对称分布
+ n% O, q# A$ n& e/ N9 p# |Asymptotic bias, 渐近偏倚% | `. e0 Z) W& T1 _0 V2 Z
Asymptotic efficiency, 渐近效率 E v/ R* j0 e( f% U. \' v
Asymptotic variance, 渐近方差, @0 n9 o& d* d V; X
Attributable risk, 归因危险度
& Y3 {' Y; G$ cAttribute data, 属性资料8 y3 _+ D% L2 F3 E, E
Attribution, 属性
9 h" V, f5 p4 l$ `9 N6 FAutocorrelation, 自相关/ ?# P L# r( R& B3 I' C, a
Autocorrelation of residuals, 残差的自相关
; w; L0 N$ o& |7 kAverage, 平均数* n0 R+ q2 d5 T4 u7 g, |
Average confidence interval length, 平均置信区间长度! A! @9 C* H9 D5 A2 e* W {" a
Average growth rate, 平均增长率
! A' M% {6 ]7 N+ b5 U1 d- wBar chart, 条形图- Z5 S6 B' t% @) L1 u: q
Bar graph, 条形图
' C- [) B- R, P# D6 S% Q/ S; SBase period, 基期# i: V& E6 [& q) O/ z, V
Bayes' theorem , Bayes定理% B+ J( U8 E3 L: @
Bell-shaped curve, 钟形曲线
: q% d5 S# [, q) x! F; FBernoulli distribution, 伯努力分布" U/ c! t' U( f; \2 v: ?- v
Best-trim estimator, 最好切尾估计量
2 g4 t7 Q1 a% T) o% v% R, s! h8 TBias, 偏性
0 ?* Z3 {7 d$ dBinary logistic regression, 二元逻辑斯蒂回归
2 u V$ V0 m4 l" h& FBinomial distribution, 二项分布
' q+ p& K7 d- n4 tBisquare, 双平方
+ D9 F# \5 ^/ lBivariate Correlate, 二变量相关
! d% h* w5 h3 J- \5 OBivariate normal distribution, 双变量正态分布+ H! o& _' `7 \7 k4 g
Bivariate normal population, 双变量正态总体: q2 z! n& o3 b9 C% ^
Biweight interval, 双权区间
- O$ \$ o9 \9 N o a! x: qBiweight M-estimator, 双权M估计量
?6 N4 b- ~4 H! [/ I6 NBlock, 区组/配伍组* [- Y2 B) l) `( {, \3 i
BMDP(Biomedical computer programs), BMDP统计软件包/ _& w$ \. l" T0 h+ v- k
Boxplots, 箱线图/箱尾图/ n s& f0 a# F H% v
Breakdown bound, 崩溃界/崩溃点: w3 H+ `: S9 @! c* F5 M# |2 T
Canonical correlation, 典型相关9 Z1 q% c* b5 ~$ N1 a
Caption, 纵标目9 c o ]" K. x6 ?, h* c7 y3 ~
Case-control study, 病例对照研究0 G# e: [& \' ^# I' f8 `) `
Categorical variable, 分类变量3 g" ^/ }3 ?! I
Catenary, 悬链线! F ^+ G0 u; d6 @
Cauchy distribution, 柯西分布
* ^, r0 b" p- n) U4 m0 M" OCause-and-effect relationship, 因果关系8 P1 B" H# J7 X" h# ?6 g6 c5 ]
Cell, 单元
; s; ], V3 f! O% l% VCensoring, 终检8 o; H2 |5 Y' w( U- U9 B& H
Center of symmetry, 对称中心
% B* `# _0 J# _# h, ^" uCentering and scaling, 中心化和定标
1 t8 l4 {% \4 I8 gCentral tendency, 集中趋势! \( k" j# ~& H& b
Central value, 中心值9 K6 R6 w2 O* `
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
% s5 }+ \$ ~4 G* b- DChance, 机遇0 v& p% k3 ^5 w
Chance error, 随机误差) O8 O+ f% u0 [* A8 `
Chance variable, 随机变量- G+ r) m& r0 n/ q4 `! z
Characteristic equation, 特征方程% p8 |+ @+ R0 U. T; {9 @6 I
Characteristic root, 特征根
8 H, |4 i( \5 w% ]$ I7 cCharacteristic vector, 特征向量. a J) F6 Z4 s9 s/ i, g
Chebshev criterion of fit, 拟合的切比雪夫准则9 ]6 }: `9 w2 Z: C0 ~
Chernoff faces, 切尔诺夫脸谱图
0 d* A) t1 \* f" O, E1 d7 ~8 `* {8 ^Chi-square test, 卡方检验/χ2检验% L% Y. p; e, x& G, c
Choleskey decomposition, 乔洛斯基分解
- X' S% m( ~7 hCircle chart, 圆图
+ ~& E! a3 \/ r) G) ?Class interval, 组距
' M, s) y# q) _$ V6 ?$ L; VClass mid-value, 组中值+ l4 t" x- D0 W) q7 T6 E. \
Class upper limit, 组上限
/ f2 j! g% J- X5 r ZClassified variable, 分类变量' N, O: ?* Z W) {
Cluster analysis, 聚类分析- ~6 G" _8 D: [+ M- |
Cluster sampling, 整群抽样
7 g7 s7 T# ^+ d/ F+ u1 ~Code, 代码
0 G- A% f4 E6 vCoded data, 编码数据
d K! {8 h. n8 i O1 nCoding, 编码; |# l" x2 I4 G; V
Coefficient of contingency, 列联系数! b) F* E" g8 v& P
Coefficient of determination, 决定系数
2 m, v" c0 s+ d. v4 C) ^) GCoefficient of multiple correlation, 多重相关系数
8 r" ~) B( C7 r7 i% i: K% x5 fCoefficient of partial correlation, 偏相关系数3 b4 N `* r4 r J) r9 @
Coefficient of production-moment correlation, 积差相关系数
: u7 J: S' w6 \Coefficient of rank correlation, 等级相关系数
& V5 X/ T* W: e1 b, f% g3 ~9 ]2 p5 jCoefficient of regression, 回归系数
' n5 J* R1 v$ l! VCoefficient of skewness, 偏度系数
# i+ S" y9 a( \' zCoefficient of variation, 变异系数
3 i; I5 d& d: W9 BCohort study, 队列研究
6 h+ B/ `! h# K) @- L: [' D8 `1 NColumn, 列
0 P/ p, _' H& e# {; LColumn effect, 列效应
2 F( `4 G, r2 G1 K0 v- ~: y* p* KColumn factor, 列因素
6 A, Y$ W) I q% fCombination pool, 合并
9 p( S3 f5 Q0 t4 U3 ZCombinative table, 组合表
( W- A# T/ K' x# Q- K" hCommon factor, 共性因子% Z$ b( [3 K* Y0 y8 E [
Common regression coefficient, 公共回归系数
/ N$ \8 a( J$ r4 g" Y2 r" r4 C) J9 _Common value, 共同值
# @& A' g- Q6 _) qCommon variance, 公共方差
3 d0 T% E7 o2 }" o- a4 e; I! DCommon variation, 公共变异- y6 M2 J3 ]# T8 K- E
Communality variance, 共性方差
9 h9 Z# l' t$ i3 T2 w% g3 s* cComparability, 可比性
# j; c5 Z9 C6 Z, J/ z/ i1 }: kComparison of bathes, 批比较
6 K2 p# Q3 f2 T }6 \1 TComparison value, 比较值7 ~* A( ?$ E) a% N( ~: ]
Compartment model, 分部模型
, N$ Y) g5 ]0 U" L, G dCompassion, 伸缩
6 u. |1 z% r `- \( fComplement of an event, 补事件% g$ ^# y" L2 {
Complete association, 完全正相关
9 ^9 Y$ j3 v7 r9 _6 T' a2 IComplete dissociation, 完全不相关" f1 m7 @: C/ w3 j ^ m# P
Complete statistics, 完备统计量5 {7 f: a: E1 V3 t, d$ ^& \! V) V5 a
Completely randomized design, 完全随机化设计
0 J. M h+ P1 b+ j# J! n$ {Composite event, 联合事件
5 M1 T2 S# K, N4 l! k+ |Composite events, 复合事件
) e6 T9 R% w0 Z0 `Concavity, 凹性$ g! T" J1 O; i4 a0 P# h
Conditional expectation, 条件期望0 |% M% c$ `$ u0 k6 U% \
Conditional likelihood, 条件似然
1 V" I0 j8 c( @% hConditional probability, 条件概率9 t2 F4 ?6 b; F$ V8 h/ m
Conditionally linear, 依条件线性
' X n# D, B3 ]Confidence interval, 置信区间
, }" |* I: A2 Z+ c0 w! i8 c9 uConfidence limit, 置信限
K$ c1 f# w) V7 K# wConfidence lower limit, 置信下限; A" f! Z, y: I' R* x8 z+ p) H
Confidence upper limit, 置信上限 Z. b% M0 Z3 J. A6 @
Confirmatory Factor Analysis , 验证性因子分析
5 n# g( Z* f+ M6 mConfirmatory research, 证实性实验研究
, w0 L8 l* ]0 w+ m' n2 g8 t$ v( zConfounding factor, 混杂因素
5 Q. {) n3 _. s! e T5 SConjoint, 联合分析. @( K8 [- g/ E; m3 e
Consistency, 相合性
+ \7 x9 m/ H" O, j HConsistency check, 一致性检验' o+ F1 A9 O! J* }1 d: H
Consistent asymptotically normal estimate, 相合渐近正态估计
' U, T% ^/ ^+ I! f( L4 xConsistent estimate, 相合估计
& t/ K0 Z/ K% Q7 x! xConstrained nonlinear regression, 受约束非线性回归. m- O6 M, [( N) A ^ J
Constraint, 约束
- _2 V# ?& x. E: k3 N6 n/ ]! L# F7 RContaminated distribution, 污染分布
5 p+ A5 }- ~4 q: K o8 l2 CContaminated Gausssian, 污染高斯分布
$ F' W. g$ r( H6 }3 n2 L/ C/ G% n8 FContaminated normal distribution, 污染正态分布3 N) @0 M% u0 R, \" \& f$ X
Contamination, 污染
: B. T ]6 E$ vContamination model, 污染模型+ i/ w0 r, C! u: E
Contingency table, 列联表/ l) v' J' y1 G, E+ t# ~
Contour, 边界线
6 J, F% r: p' f4 vContribution rate, 贡献率
6 D) P' l: R( R3 eControl, 对照
/ o5 V" K6 E5 a$ ~. uControlled experiments, 对照实验8 \, \' c4 }, {, T
Conventional depth, 常规深度6 w" z& I5 a2 X; {% j3 }: I
Convolution, 卷积3 a1 L" w- Q/ q& V
Corrected factor, 校正因子8 O( t) |/ e) @" S5 U( M
Corrected mean, 校正均值
: j. t z/ P& }- \& S; x; B1 m. w7 zCorrection coefficient, 校正系数/ w( c: \) }. o6 D, L3 J; }: s
Correctness, 正确性
2 d P/ b" o! I, N9 u+ T9 Y0 L- eCorrelation coefficient, 相关系数- z# m# C5 a" V4 A5 s
Correlation index, 相关指数1 l$ a5 }% C8 t
Correspondence, 对应9 x" S. ?; O# p
Counting, 计数) u% Q. k0 B( j! y7 R
Counts, 计数/频数
. F# D; j7 s7 E" z% m7 {Covariance, 协方差3 |+ V. i. M+ f) G+ e0 s
Covariant, 共变
e A" Q: @# ?% J* c& L, v3 jCox Regression, Cox回归
; z( f' {0 H& g8 x2 T' NCriteria for fitting, 拟合准则/ U, |4 e1 A( v/ Y+ G! U
Criteria of least squares, 最小二乘准则) S a* m+ ~$ |5 y* \
Critical ratio, 临界比
) O, b( P( R. o) P+ T" OCritical region, 拒绝域$ c( D! M. ^" q6 Y' a( s% X
Critical value, 临界值8 b1 ?6 e* h4 R& f+ i, H
Cross-over design, 交叉设计( S- M& F1 g @6 I F% d/ M% h
Cross-section analysis, 横断面分析. J9 P/ C9 V! e; O* n. `- m' `2 q
Cross-section survey, 横断面调查: ^2 G \1 L3 }
Crosstabs , 交叉表
8 a, s& S+ H, K+ CCross-tabulation table, 复合表, X: s7 c% K* `3 [9 J( G( g5 c' M. ^8 ]
Cube root, 立方根
/ e/ @) a3 B# X* S* }2 I% lCumulative distribution function, 分布函数. O" O& t$ g' A7 m5 ^# k( j
Cumulative probability, 累计概率
+ x* m5 S' c7 HCurvature, 曲率/弯曲 ?6 z$ C) Y6 B) V
Curvature, 曲率
+ p+ V8 x* D7 N) S. A; RCurve fit , 曲线拟和
* v! T9 D6 A1 N5 E6 lCurve fitting, 曲线拟合
" a5 h5 R( {$ b) \' v. {Curvilinear regression, 曲线回归8 z; i( ]+ B' [' E
Curvilinear relation, 曲线关系
3 P, J: C" T" u4 s+ p7 x: R' qCut-and-try method, 尝试法& u! I( E& k+ Y& l& H, Y
Cycle, 周期 n: L( w7 Q+ N1 j
Cyclist, 周期性
: |& B4 E1 l, c, H! ND test, D检验6 ]+ z. d3 c* ~4 q
Data acquisition, 资料收集
- B2 H# e( O* F k- [% NData bank, 数据库
: J. t# j5 c# r3 j( i0 y' `' WData capacity, 数据容量( L8 l! M1 E! J2 l6 C" A+ ]/ D
Data deficiencies, 数据缺乏 ?$ O- h6 q3 @+ A) H6 X0 y
Data handling, 数据处理9 Z o/ u, I, e7 b- }
Data manipulation, 数据处理
% @! v6 y0 I+ p; V5 R' h8 |: o sData processing, 数据处理( L( W2 r: B) G4 x/ p
Data reduction, 数据缩减+ P9 G; `, b2 c7 G% n+ d
Data set, 数据集
2 |; o7 p6 m4 s F+ W7 tData sources, 数据来源
2 C" \" @# y0 S2 e3 o' P' nData transformation, 数据变换
5 E# q1 ~6 o$ J5 F# j3 C( mData validity, 数据有效性3 D* y3 z: x! G
Data-in, 数据输入
& B' A/ ^4 R" C3 q& v, O5 H) }9 `Data-out, 数据输出# P9 L W+ Q9 z8 b1 Q5 c. d
Dead time, 停滞期7 l! t5 W+ _; A" t n
Degree of freedom, 自由度8 F( A4 ~5 l1 C+ D' x) P
Degree of precision, 精密度5 X" B' w2 S( a& P5 }9 Y( D; i
Degree of reliability, 可靠性程度+ L9 V5 E. d4 B- m9 x4 x
Degression, 递减
6 X' T+ E+ Y* B9 ?2 mDensity function, 密度函数' y; ]$ e# j$ A- v. B
Density of data points, 数据点的密度
0 @( ~( p3 r2 [4 b. IDependent variable, 应变量/依变量/因变量
# e& U9 y* D/ n7 a4 W7 `" J( b) V$ sDependent variable, 因变量
3 G, n9 }: ? w0 vDepth, 深度* }4 D2 q$ |2 l1 ^2 c" m1 p
Derivative matrix, 导数矩阵7 [( e% e" K0 L5 P+ n0 X, Q
Derivative-free methods, 无导数方法
: A; M; }8 D2 v# v& l$ R0 D! V0 O" KDesign, 设计
* o3 \5 S$ v% k7 _+ S5 PDeterminacy, 确定性8 }' V1 j- n/ N3 _4 W# L
Determinant, 行列式: A6 z0 N5 l$ f: w
Determinant, 决定因素& Q c- T5 [! R% Z
Deviation, 离差/ ]3 ?$ j( l# F, ^
Deviation from average, 离均差
% `, X- t. U4 h4 D& eDiagnostic plot, 诊断图
# A5 L4 d$ Q. {5 qDichotomous variable, 二分变量6 f5 ~( W! ?/ R( r" Z6 S7 C
Differential equation, 微分方程6 w! {6 R) O5 V4 {: v* M
Direct standardization, 直接标准化法
, o7 S- r- _! S* mDiscrete variable, 离散型变量
5 Y/ j- R' P, Q9 pDISCRIMINANT, 判断
* D3 }2 \6 }" i! g2 N5 WDiscriminant analysis, 判别分析* R& I* |6 D& F* [& n
Discriminant coefficient, 判别系数
9 B: d4 o }7 J3 t! KDiscriminant function, 判别值6 X1 S9 Q+ l# t5 [5 t
Dispersion, 散布/分散度
+ q! ~0 Q' s$ Y3 xDisproportional, 不成比例的# u: s$ v7 k4 \( B7 |
Disproportionate sub-class numbers, 不成比例次级组含量
- p1 D6 S/ p/ ^# rDistribution free, 分布无关性/免分布9 P) k3 V1 g3 }2 g
Distribution shape, 分布形状4 Y1 S; v& o- b
Distribution-free method, 任意分布法2 S: I# r- ^. j
Distributive laws, 分配律8 j* R0 A; h J$ c# z. B# N7 h
Disturbance, 随机扰动项
1 e; K- s Z. h- e& z# ] }0 e) C$ eDose response curve, 剂量反应曲线
. F7 J4 t/ P' d+ U" q9 @' ~6 G+ D/ `Double blind method, 双盲法8 x5 Z8 Z% n1 r4 q0 S: k0 Q3 s
Double blind trial, 双盲试验
6 a' u8 Z% d a& K- z3 SDouble exponential distribution, 双指数分布( }) V8 X" a% ~3 t- s7 k( b, @3 D
Double logarithmic, 双对数$ n! C# T7 j# w
Downward rank, 降秩
+ j( u: \+ b: C/ v3 \( B4 IDual-space plot, 对偶空间图
- T& c2 ~2 Z" n; u) |DUD, 无导数方法
: {/ |) u; T/ b6 K: zDuncan's new multiple range method, 新复极差法/Duncan新法
; D8 s1 s# {. dEffect, 实验效应9 v: o( j. l5 c2 K9 L
Eigenvalue, 特征值4 Z0 [4 D3 G9 K
Eigenvector, 特征向量
% f6 Y& l J& O3 w, Z. i& Z$ }Ellipse, 椭圆
' e9 _1 V% A& WEmpirical distribution, 经验分布; X' [, F+ f' Q: H
Empirical probability, 经验概率单位% v( Q% U, x& e8 H0 f
Enumeration data, 计数资料 y# g8 S5 v6 b
Equal sun-class number, 相等次级组含量
9 g! G0 m" R! N' L* I5 T$ e0 tEqually likely, 等可能
% [+ O& g& B% J1 v2 u* w4 QEquivariance, 同变性8 w1 X4 [, P8 N" w& N+ a
Error, 误差/错误
0 ?9 u& B' p N& Q6 v `' ] k, u# RError of estimate, 估计误差9 i# u, O* ]; T$ |+ l
Error type I, 第一类错误2 ` [6 h/ L* M- `# s4 O* q& d
Error type II, 第二类错误
0 G+ H0 Y1 A2 W1 F1 z/ ZEstimand, 被估量
- k9 Z% V# x1 l; I! j7 g, w' dEstimated error mean squares, 估计误差均方6 S! _: e" I- J4 s# m8 E
Estimated error sum of squares, 估计误差平方和
, \/ t% J4 ?9 J, MEuclidean distance, 欧式距离) q$ W) [0 y. l9 L
Event, 事件; B S9 z* M. t+ g
Event, 事件
' E- C. n. y* S2 \Exceptional data point, 异常数据点
# r! k( Q5 u9 Q% n6 Z `9 yExpectation plane, 期望平面
8 ^) f( M( w5 YExpectation surface, 期望曲面
4 ^0 q9 _% e( y7 dExpected values, 期望值
6 a" r o y# T9 p' IExperiment, 实验' J/ V# c/ n& H8 l1 M* Q6 t
Experimental sampling, 试验抽样
2 N J9 K- g$ p3 {! c2 S9 rExperimental unit, 试验单位' M8 a6 N1 n7 |
Explanatory variable, 说明变量
; ?; d) S! `* `/ A" aExploratory data analysis, 探索性数据分析
/ U# O7 r5 @. nExplore Summarize, 探索-摘要
. t' H. ?1 J$ T3 d* i5 f3 nExponential curve, 指数曲线5 I1 V. G3 t, R$ [- {
Exponential growth, 指数式增长
2 n3 N0 Y' m2 o, p, M5 `& rEXSMOOTH, 指数平滑方法
+ e5 k/ P4 E( M! R% tExtended fit, 扩充拟合
; e! b- y+ f# n$ T* V4 e6 WExtra parameter, 附加参数2 A+ ]: `% h2 X% W1 H; _* g
Extrapolation, 外推法. @4 l# R, M9 U7 h7 X
Extreme observation, 末端观测值, |0 F% x" o" J, a* O7 w( p a+ z
Extremes, 极端值/极值+ C( C |, T& r; Z P4 ^) ~5 g
F distribution, F分布% S9 h: h+ b6 c$ E7 r8 x( l: m4 H
F test, F检验
4 s- [7 L) r, H) gFactor, 因素/因子2 x9 D: [ O9 X
Factor analysis, 因子分析
4 B" b) J% e$ B* a4 FFactor Analysis, 因子分析
" L1 P0 z& o8 C8 ]) b! |% BFactor score, 因子得分 * c2 U( H8 `( {+ g
Factorial, 阶乘- z0 H5 Z* c( y/ ~1 ~$ X+ Y ?; l& M
Factorial design, 析因试验设计2 S; Q" p5 L, ?! m3 q& a
False negative, 假阴性
F) m; K# }7 K1 ]0 KFalse negative error, 假阴性错误
5 {2 d' a0 U8 K) T# QFamily of distributions, 分布族
. o; ^# ]* J' R3 g. HFamily of estimators, 估计量族
) K$ [$ Y# x( v2 J! i4 U5 S: ~; RFanning, 扇面/ q& p8 w) W" Y) M0 e! A8 r9 D
Fatality rate, 病死率
: q" B. \2 Q, U( x* J, a! R5 [& nField investigation, 现场调查
* F5 T9 ~( `/ O& }' R4 QField survey, 现场调查
$ G. a) @' G5 Y. q% N* y$ eFinite population, 有限总体) \; c" }+ S& N. Z" T$ K% }
Finite-sample, 有限样本5 k: H( U( z1 Z, M: Z1 N
First derivative, 一阶导数+ i+ z4 k6 a. Y/ E
First principal component, 第一主成分
/ o& y; o, [8 U4 M' CFirst quartile, 第一四分位数8 T6 y9 l6 o7 M4 c1 p9 A& F3 p
Fisher information, 费雪信息量, C8 N+ J Z+ i& ]! E' w
Fitted value, 拟合值% d3 l: e/ Z- u3 J$ n4 B. A
Fitting a curve, 曲线拟合# K9 ^+ @ I+ B' l: I! N# S* ~9 Y* h
Fixed base, 定基
5 e# Y& c9 u) Y* D) |Fluctuation, 随机起伏( f% A: U4 h" Z1 |3 B6 F" Q5 u8 u9 K
Forecast, 预测
C9 O% y, j& {; v: O$ p! g2 PFour fold table, 四格表
, X+ j* V+ ^" u/ |7 q' s/ AFourth, 四分点
6 w9 p3 t- e0 s9 Z7 Z' J+ G6 PFraction blow, 左侧比率
. R# j! K2 g4 GFractional error, 相对误差
! w. ?$ F! {9 K( H9 J% P6 ZFrequency, 频率4 O7 }" e9 Y4 D8 L. S; j. m
Frequency polygon, 频数多边图7 q x8 u2 b1 e
Frontier point, 界限点
$ j( E2 l4 s9 Q, }" MFunction relationship, 泛函关系
2 Y' J+ d0 R* _ k& jGamma distribution, 伽玛分布* n* ]! t! h5 z1 w' C
Gauss increment, 高斯增量
3 [7 g8 e8 a( `' a0 X' h5 WGaussian distribution, 高斯分布/正态分布9 y+ |, `( r3 D# x- w. f- m+ i4 q" g
Gauss-Newton increment, 高斯-牛顿增量
% u" q, S& [* H. o# |6 ]General census, 全面普查2 C0 k+ f# U# S% y6 Y7 ~8 H. s7 \: C: `
GENLOG (Generalized liner models), 广义线性模型 6 f$ {* g' w1 p1 s# k" R9 w
Geometric mean, 几何平均数+ g' L' V) b+ u% l3 B
Gini's mean difference, 基尼均差
* _6 g. G! r/ G, }GLM (General liner models), 一般线性模型
- [# { w* h( pGoodness of fit, 拟和优度/配合度2 W+ h) L# @: c g7 F
Gradient of determinant, 行列式的梯度) e, k! J* V2 W
Graeco-Latin square, 希腊拉丁方
) R8 z6 ^ K) c3 \ u$ S7 FGrand mean, 总均值. v: z3 X, u% Z( N6 h% O( Y W
Gross errors, 重大错误5 k& c6 ]) J; C) B' g, M U
Gross-error sensitivity, 大错敏感度' x+ L4 |1 l6 L4 F# ]- e2 e
Group averages, 分组平均
: f9 S3 y. k" \: d# ?& {Grouped data, 分组资料0 ~3 j# B/ J p* j: u
Guessed mean, 假定平均数
$ Q! W, X$ D, GHalf-life, 半衰期* Q3 |8 m# ~+ g) d; l a u7 b2 L0 g) f; \
Hampel M-estimators, 汉佩尔M估计量% O2 {! b; o7 v( }3 @
Happenstance, 偶然事件4 D4 y, @& T+ x) s
Harmonic mean, 调和均数0 ?3 z3 r$ P3 u8 t" _
Hazard function, 风险均数
* \7 T" x4 C, c# P3 Z [( d( _Hazard rate, 风险率
# `' }: G4 b6 T! |Heading, 标目 / V& ^) f7 G# Q0 f& A% o
Heavy-tailed distribution, 重尾分布5 Q. u% R }% P# V9 ]
Hessian array, 海森立体阵( Z3 \' ^4 j. r# _3 N6 {
Heterogeneity, 不同质. V9 q/ Y8 l8 T4 t6 \: V
Heterogeneity of variance, 方差不齐 % c; @) h# H; u9 X4 G% }
Hierarchical classification, 组内分组
' c1 a) r$ N% q2 PHierarchical clustering method, 系统聚类法' m9 r" T7 F' ~5 H
High-leverage point, 高杠杆率点4 H" h. n& \2 o: Q/ O
HILOGLINEAR, 多维列联表的层次对数线性模型
5 R) P/ L4 c$ a* }* O3 lHinge, 折叶点
" F) X) U* b/ u4 IHistogram, 直方图3 G6 P; I) v- @9 i
Historical cohort study, 历史性队列研究
! d' m2 p8 h# F) x! ^, ^- O SHoles, 空洞
, L. f0 v1 K p% w. [+ [# dHOMALS, 多重响应分析7 U. ]$ G' \9 C- v9 F
Homogeneity of variance, 方差齐性* Q) i9 [9 ~8 r
Homogeneity test, 齐性检验
. m9 s2 K" |7 |3 d9 pHuber M-estimators, 休伯M估计量
0 b! r, r; V. j# hHyperbola, 双曲线$ B, n: C8 `5 l7 e$ ]& V7 C, p P
Hypothesis testing, 假设检验
, ?* p" l/ s& e* D# M0 \Hypothetical universe, 假设总体0 \ V4 V# ^/ y
Impossible event, 不可能事件
% `9 K8 [! U& kIndependence, 独立性* J* [ B* Q8 ~# k6 j$ S
Independent variable, 自变量
' k* f8 X# i3 D( u" R) |7 TIndex, 指标/指数% o5 L4 C% L! V7 n, U
Indirect standardization, 间接标准化法! A9 {5 ]2 h( Y# \" ]# g7 I# F4 h
Individual, 个体
: J0 _5 o; j2 ?( Q* ?) X! E, w" ~Inference band, 推断带# p2 c+ d+ B8 E
Infinite population, 无限总体& d' V( q! X8 j* Z+ q# Y* I2 j5 ^( Z2 Y
Infinitely great, 无穷大, a9 `9 C; d3 ~8 X
Infinitely small, 无穷小- h1 `! ^1 [ k" K# G2 k
Influence curve, 影响曲线
0 I/ T8 f! n9 DInformation capacity, 信息容量
+ q2 ^0 E8 z, i8 @* lInitial condition, 初始条件
- @/ @# k% n+ pInitial estimate, 初始估计值
) c% E O# [0 U2 P- L& fInitial level, 最初水平
' ? I$ I) Y2 m2 NInteraction, 交互作用8 x8 |! F3 d# ~. X7 B7 o7 S1 S
Interaction terms, 交互作用项" e" d. ^; ? S3 d* M( |
Intercept, 截距
( B( W( T1 s5 \; T# }Interpolation, 内插法
! @4 m; |$ C$ AInterquartile range, 四分位距
/ }2 i4 y# G/ O# X: J+ mInterval estimation, 区间估计
# i' e4 L( _7 X2 zIntervals of equal probability, 等概率区间
3 ^, q9 w. n; j& Z% l& S( HIntrinsic curvature, 固有曲率
6 x$ L6 {& u- b' s; v& x+ gInvariance, 不变性4 Q* B. t0 Q, G4 k3 y3 ?+ z
Inverse matrix, 逆矩阵6 R1 |" S4 h. _. a% D
Inverse probability, 逆概率' q$ G, X9 G, l# t( B
Inverse sine transformation, 反正弦变换4 f' I5 K* T8 L+ P# m e- F
Iteration, 迭代 $ X3 U+ V& l h% x( g
Jacobian determinant, 雅可比行列式7 |" K0 O; o4 A5 u. f
Joint distribution function, 分布函数
3 \7 C3 j. b# q/ f& c. b8 yJoint probability, 联合概率8 V0 R, G0 T( Y& t. L3 ^
Joint probability distribution, 联合概率分布
/ o# X+ u J4 f7 q4 qK means method, 逐步聚类法
4 Y8 |! w5 o8 o* x7 w) \Kaplan-Meier, 评估事件的时间长度 ' \( \4 Q* k& A" p; E/ f# ]% w; `
Kaplan-Merier chart, Kaplan-Merier图
% @0 J) k; n5 n; h/ gKendall's rank correlation, Kendall等级相关4 t( A0 t: R+ ^$ f
Kinetic, 动力学1 \: P7 C1 S! s, e* ^4 w
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
# f; e& N! u) I+ PKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验& N6 e& Q2 M! z" V& K8 X! O7 H t! u
Kurtosis, 峰度
% x" e% w# X+ RLack of fit, 失拟' V- w; X) c1 V* i
Ladder of powers, 幂阶梯* A- [1 P7 ~! p0 l6 `$ S
Lag, 滞后7 M0 \; s; R j+ O7 v
Large sample, 大样本
2 u6 w8 k2 T: _ x' [" |Large sample test, 大样本检验9 Z! Y9 M/ d* J' T( t
Latin square, 拉丁方
8 j1 \( x! s: G5 K/ jLatin square design, 拉丁方设计
! I! O5 c7 g' r5 TLeakage, 泄漏( X: C$ I+ o( }$ B
Least favorable configuration, 最不利构形6 T: k3 d1 M" y1 d: `
Least favorable distribution, 最不利分布
6 K. E$ q& A0 A, U3 H7 S1 NLeast significant difference, 最小显著差法
6 f z: G+ {, }) v: R) \$ qLeast square method, 最小二乘法
8 @: q. }+ N6 y9 s2 R" bLeast-absolute-residuals estimates, 最小绝对残差估计
' K% O- w6 O$ M: ^" w+ bLeast-absolute-residuals fit, 最小绝对残差拟合
( U0 x6 O0 ~$ H( O1 F# M, ~* ILeast-absolute-residuals line, 最小绝对残差线
: A0 {9 Z/ E3 ?+ y, V n" hLegend, 图例$ n. [) I7 ]$ ?& ^( u5 N: `* y
L-estimator, L估计量
% o$ d6 C( T k% o" t( rL-estimator of location, 位置L估计量
6 M9 o4 u& m! F9 e& I, P( h' \- A" s' |L-estimator of scale, 尺度L估计量/ b1 t6 z# o) y% Q! u4 h8 s
Level, 水平
# d) F9 L' O+ s- ~7 u qLife expectance, 预期期望寿命- X: G( Y& @7 t* n
Life table, 寿命表) D+ i, {0 p. d: M |5 @! j
Life table method, 生命表法* z P T, m" A& c
Light-tailed distribution, 轻尾分布/ d. n" D; {3 u0 }$ i
Likelihood function, 似然函数
0 v3 r$ Y6 U3 C; J- BLikelihood ratio, 似然比0 C: _# d" N4 o* |9 |
line graph, 线图
|+ s/ \9 ^+ U3 [2 BLinear correlation, 直线相关
! h3 [& ?' p# |2 G& k( L) \Linear equation, 线性方程
6 @- L* w' w0 v9 A- Q. bLinear programming, 线性规划
- H; W, a; M& S: \ \ B- _8 t7 KLinear regression, 直线回归3 l$ b- C, n' G$ G: t
Linear Regression, 线性回归2 `" \$ {0 m2 S; g
Linear trend, 线性趋势9 h6 D, Q: q: p# E) e
Loading, 载荷 ; l* u- o2 f+ H5 X6 ]; y/ T
Location and scale equivariance, 位置尺度同变性
% w, b) w& Z/ uLocation equivariance, 位置同变性 q/ }3 Y5 h2 }# a. K/ b
Location invariance, 位置不变性 h4 z8 _: i' F2 H, |8 z- o
Location scale family, 位置尺度族$ {0 c/ N$ w8 }, P
Log rank test, 时序检验
% ~9 q5 V/ P1 s# eLogarithmic curve, 对数曲线3 A2 ~8 v- F& Q: j) f( E/ z
Logarithmic normal distribution, 对数正态分布
& u y, P& y6 DLogarithmic scale, 对数尺度# t- h' U, m: j( F& j
Logarithmic transformation, 对数变换
- n) B0 q' [ Q# M. dLogic check, 逻辑检查; W! g L4 @% R! F7 Z
Logistic distribution, 逻辑斯特分布
' }" Z d" W7 } pLogit transformation, Logit转换( C M( d) Y0 F! I' n# O$ p
LOGLINEAR, 多维列联表通用模型 " U0 U7 \( w8 x% l$ Y
Lognormal distribution, 对数正态分布
0 ?2 A* U' F* L( ZLost function, 损失函数. Y% {3 U4 Y) t. V& b3 {
Low correlation, 低度相关- ?( y1 A8 j s5 D6 `/ j# ]
Lower limit, 下限; `" L. y$ x# }( n& n5 F5 P ]/ g9 Q: @! V
Lowest-attained variance, 最小可达方差
$ K" v l' E7 K# U4 aLSD, 最小显著差法的简称
8 _9 ?; q6 H9 b7 lLurking variable, 潜在变量- [) q9 F8 g8 q
Main effect, 主效应; R c& i8 w, z4 d; K R
Major heading, 主辞标目
- M' e" S' ?( i" ~. Q) DMarginal density function, 边缘密度函数
9 ^! Y" X R. T9 y2 s" x: |Marginal probability, 边缘概率4 b1 w, ^0 q$ m0 A
Marginal probability distribution, 边缘概率分布& G# I0 h( h. N v" E
Matched data, 配对资料5 d' u# g: s1 ~& _) |
Matched distribution, 匹配过分布
' c' H& m m0 C; ~ ~; h! OMatching of distribution, 分布的匹配/ T0 L2 ?8 @6 c" V5 z
Matching of transformation, 变换的匹配* p8 u1 @) h" \2 r6 h% v
Mathematical expectation, 数学期望; N! i& Z1 J9 n, R
Mathematical model, 数学模型
$ L0 v' {5 O5 u) p( fMaximum L-estimator, 极大极小L 估计量. m# L/ d# l$ m, K7 r; E, U
Maximum likelihood method, 最大似然法9 B* s, z8 U$ l; P8 F+ k: q
Mean, 均数& ^; T& f9 j# k% M% F1 @* J$ f
Mean squares between groups, 组间均方+ l s8 P/ b1 n: r
Mean squares within group, 组内均方
3 Y3 M# |; |) Y$ o& C7 LMeans (Compare means), 均值-均值比较
) q' @! F; C! b3 K/ D0 hMedian, 中位数
2 y2 k; h% f' NMedian effective dose, 半数效量
6 y& E: S: ^# [3 ~7 xMedian lethal dose, 半数致死量! j: ]+ N2 S* y& ~
Median polish, 中位数平滑7 a, B9 [, [8 H& W) m$ m8 s3 G
Median test, 中位数检验
+ |2 O+ Y' ]. }! Z2 C% O! [Minimal sufficient statistic, 最小充分统计量) j4 [! z( B: r4 S
Minimum distance estimation, 最小距离估计+ i6 A* C0 s- Z! e/ B& j
Minimum effective dose, 最小有效量
- C2 F# c6 f: k$ {6 |# e ^: qMinimum lethal dose, 最小致死量
$ O1 c i1 @) `) t2 a1 {Minimum variance estimator, 最小方差估计量0 D6 h' I" j# O! o. b9 R
MINITAB, 统计软件包
8 H1 o' F0 y2 | ^Minor heading, 宾词标目
4 v! Y5 h+ U$ [3 W7 d1 a8 L1 vMissing data, 缺失值' ?9 e: T7 x4 A5 m7 J
Model specification, 模型的确定
1 Q/ K& { }) @9 o' K0 z# xModeling Statistics , 模型统计
( j' X! ]0 [7 g0 q5 MModels for outliers, 离群值模型
" X' E' }* x8 ~) A7 bModifying the model, 模型的修正
6 V' @$ f6 y& f$ HModulus of continuity, 连续性模
2 d4 j$ o4 p9 N. d) H/ {( dMorbidity, 发病率 6 i) _! J' D3 h5 X) y5 b
Most favorable configuration, 最有利构形
4 Y+ \% o& m- \% ~$ aMultidimensional Scaling (ASCAL), 多维尺度/多维标度+ P* G2 F3 m$ K" d& b1 z5 E
Multinomial Logistic Regression , 多项逻辑斯蒂回归
2 Q" b& m# s" M8 ?- o+ C5 NMultiple comparison, 多重比较( n# `& R7 Y' h& D; p8 |# S1 D i
Multiple correlation , 复相关
9 W5 u+ T" ]( a. @6 {- XMultiple covariance, 多元协方差: }+ `5 g4 z: W
Multiple linear regression, 多元线性回归! m+ I l4 T( x# p( D) l
Multiple response , 多重选项
7 E- o1 I( i5 N- c' w% OMultiple solutions, 多解
) T$ S: W. x, L. f1 U& TMultiplication theorem, 乘法定理
^2 O; k5 {8 w: y6 g1 d! m( n% s; i7 iMultiresponse, 多元响应, u/ u$ S5 j0 p7 }9 ^( E* I
Multi-stage sampling, 多阶段抽样* i$ T+ \/ s& L9 `
Multivariate T distribution, 多元T分布/ L+ a/ F1 N+ [, C
Mutual exclusive, 互不相容: s' c# U9 H+ J3 _0 u
Mutual independence, 互相独立6 _% V E% A: p, r% e; ?& p' U7 ], a, [9 L
Natural boundary, 自然边界- Y$ `8 J; s4 U g- {# B+ Y
Natural dead, 自然死亡
" Z) d9 p$ c0 }: RNatural zero, 自然零
+ K. T! X9 }% [4 l" X% K1 ~3 mNegative correlation, 负相关3 ^/ k- {7 v1 V- }5 P) l. G
Negative linear correlation, 负线性相关
' S/ w( [1 n2 ? [. DNegatively skewed, 负偏
6 E3 w: h% G Y5 A- V1 r# d' ANewman-Keuls method, q检验! U9 N; O- `% _
NK method, q检验
( s2 r; g5 U. p+ DNo statistical significance, 无统计意义
6 A. J# H" g5 E: `8 zNominal variable, 名义变量) n% p8 q) A$ n" S2 M
Nonconstancy of variability, 变异的非定常性
# x) C a* E: N/ MNonlinear regression, 非线性相关
8 }7 W3 `+ R/ V3 LNonparametric statistics, 非参数统计# c& h/ @: A1 a+ [3 ~$ Y" O! {
Nonparametric test, 非参数检验7 b% Z1 @; _ N8 Z9 f( l
Nonparametric tests, 非参数检验. K# J5 I- Q+ d& u# `
Normal deviate, 正态离差
+ S# |! ]7 ?" m4 k& UNormal distribution, 正态分布9 C* i8 b3 x/ Z$ h, p
Normal equation, 正规方程组" j5 k: C6 y6 w& [! ?# d3 m
Normal ranges, 正常范围
/ _6 c8 X" ^+ y' v n& _" CNormal value, 正常值4 x1 V; w% l. j4 u, _
Nuisance parameter, 多余参数/讨厌参数" N- J- R, k6 }( R
Null hypothesis, 无效假设 9 l* _ F/ b9 E, f7 r" ~
Numerical variable, 数值变量
& I) \1 c$ ^8 Z; }5 oObjective function, 目标函数9 v1 E. v3 K: w% c* [
Observation unit, 观察单位
/ M3 r) V) m" m3 M0 T fObserved value, 观察值
/ A) o8 m" m, K/ _0 b6 X. n8 uOne sided test, 单侧检验/ a. a: K( Z3 X$ j( `/ L
One-way analysis of variance, 单因素方差分析8 K' b) q5 n/ Z
Oneway ANOVA , 单因素方差分析
; N9 p& {$ `" F8 l3 ^" q/ A, g4 |2 tOpen sequential trial, 开放型序贯设计2 ~0 @3 j" B5 q. }4 p+ ^
Optrim, 优切尾* A* d5 F; t6 ~* T2 _0 m. A9 c5 R
Optrim efficiency, 优切尾效率- n4 b! F3 [) n" A# `7 _3 w
Order statistics, 顺序统计量$ |( }: y7 Q$ Q; V
Ordered categories, 有序分类
\/ a1 a P& |- T z# g5 vOrdinal logistic regression , 序数逻辑斯蒂回归! }* ]% [: |1 ?( e# b7 q+ Q
Ordinal variable, 有序变量
; p- ^1 n+ c) t; _1 g: eOrthogonal basis, 正交基5 ~! s( c% L2 F3 ]
Orthogonal design, 正交试验设计 ?( o/ T8 Z' F8 A G* {1 |
Orthogonality conditions, 正交条件 N j% I v4 Y" t
ORTHOPLAN, 正交设计 $ ~. h5 k/ ^2 d* G
Outlier cutoffs, 离群值截断点! r* U: X+ c7 _" x, H( c
Outliers, 极端值
) Z2 q5 Z6 `' Y) `0 uOVERALS , 多组变量的非线性正规相关 * k1 ?" m( X* `6 p0 W
Overshoot, 迭代过度' \$ M. w1 A3 i+ S8 R0 @1 Z
Paired design, 配对设计
1 t1 L8 v& s8 P# S3 k0 h: w' @% bPaired sample, 配对样本) H" n3 W) i1 P+ {; v
Pairwise slopes, 成对斜率
' k# v, n* N9 O' Y+ R# M- @Parabola, 抛物线6 c2 ~1 @+ L9 d, W6 u7 E
Parallel tests, 平行试验. V3 N! e" a7 J
Parameter, 参数
( K y$ j) s5 L/ kParametric statistics, 参数统计
3 [: N5 t! D3 V0 c2 HParametric test, 参数检验
- t0 e! ~5 l" Z1 K- a3 a$ YPartial correlation, 偏相关' `! o! x* o, U: z/ L) M
Partial regression, 偏回归
0 b- d) e5 n7 T; hPartial sorting, 偏排序
* B4 u" z" }+ UPartials residuals, 偏残差
9 X0 x3 C; {: w& T; n6 g) w8 K+ iPattern, 模式
6 ^6 I- ~: i4 F! a4 KPearson curves, 皮尔逊曲线
6 e; g$ V1 |8 ^2 Q( gPeeling, 退层$ u$ g: p3 S( {5 I j
Percent bar graph, 百分条形图. Z F1 m9 a* }8 G3 _
Percentage, 百分比
: E$ c3 K% e! N/ T8 IPercentile, 百分位数" k! j: T* ?6 [- T. x
Percentile curves, 百分位曲线
5 g; `1 z3 }, u$ l" VPeriodicity, 周期性
1 i# \( \8 a. Y- U1 U6 LPermutation, 排列2 D( N; W- q- T7 g2 B5 O. l
P-estimator, P估计量
+ h/ {+ g; b. H, ]! `1 BPie graph, 饼图
0 ?% g% o9 I6 D8 g7 s) RPitman estimator, 皮特曼估计量' a/ G$ ~4 i0 P
Pivot, 枢轴量) O. r L1 ^" Z. s% {1 W* j
Planar, 平坦' r0 y9 }1 S8 l/ M' j
Planar assumption, 平面的假设' ~( y& f, d) _9 S4 Q$ R8 h
PLANCARDS, 生成试验的计划卡1 q( s( L( u3 b# s. |& A
Point estimation, 点估计* W) m7 a" A1 o
Poisson distribution, 泊松分布
% M4 M5 Q( t* w% {" I. \% @ }Polishing, 平滑
# G# o* q" R4 gPolled standard deviation, 合并标准差
# }' `4 l' X4 K7 d4 [0 F KPolled variance, 合并方差+ w, `2 J, F! w2 P7 N5 X [6 u
Polygon, 多边图$ C; V( t! e$ S! b" s) ~
Polynomial, 多项式* h& x* k5 S. E) k
Polynomial curve, 多项式曲线) n8 o& P! o" p: z" Z
Population, 总体) `0 }% F7 E6 N# ~' c4 w7 ^, R
Population attributable risk, 人群归因危险度3 c; n+ e7 N1 ^2 M, c
Positive correlation, 正相关4 f$ @! d! y( V9 j! h
Positively skewed, 正偏
* k7 |: A, B, O: ]Posterior distribution, 后验分布
4 c- x7 }' P! Q9 c2 {$ W& rPower of a test, 检验效能6 e# ]& Q% x0 k9 t6 Y; k2 P
Precision, 精密度) K8 d! S$ K1 z! M/ f( g
Predicted value, 预测值
$ r6 [ S, |9 T" H# K! pPreliminary analysis, 预备性分析
- l2 q; A3 K$ Y2 m% e: p, j& t" M" nPrincipal component analysis, 主成分分析6 N. _' {1 d: A; t4 \
Prior distribution, 先验分布* t% Z6 x& Z R9 x
Prior probability, 先验概率, ^' L# R" [. E
Probabilistic model, 概率模型& f$ t, E0 m& \& H; ^
probability, 概率
2 P9 r3 s- o) {; ?( GProbability density, 概率密度
+ R+ J. ]& i! S! RProduct moment, 乘积矩/协方差
! R" t+ _7 [; \( R' U1 |, M3 \Profile trace, 截面迹图5 F6 d8 R, _$ Y7 }7 I: U
Proportion, 比/构成比
7 n- U, x6 j6 E, m* E/ TProportion allocation in stratified random sampling, 按比例分层随机抽样
4 L, W% p: C1 B2 P) |$ V0 V8 |Proportionate, 成比例
/ [. K( V3 G5 i9 N. O( LProportionate sub-class numbers, 成比例次级组含量
9 Y9 _( J2 l i7 d3 J. o. H, cProspective study, 前瞻性调查' U* _ {4 P J8 c' c1 G* O
Proximities, 亲近性 5 V" S; V/ z+ D) \- D' s
Pseudo F test, 近似F检验
) A5 Y$ F0 p+ k( }, J1 Q! {3 UPseudo model, 近似模型, b' y: C2 }) L7 R& y$ Z7 `& s; p
Pseudosigma, 伪标准差
$ I8 W9 w# ]7 N% M* u0 P) c0 R5 }Purposive sampling, 有目的抽样
, a/ _" [. B( y$ j+ l3 \- v- v! OQR decomposition, QR分解/ P8 {8 z+ F" m$ m: T
Quadratic approximation, 二次近似5 C. K R1 S& P+ i! |( C/ X
Qualitative classification, 属性分类
. F' D) j! o: }6 Q4 u& {- ~ n, xQualitative method, 定性方法
; D& |' V( c- ?1 t6 y4 FQuantile-quantile plot, 分位数-分位数图/Q-Q图
% P; X) U6 `8 |8 MQuantitative analysis, 定量分析& V; B k: s0 a
Quartile, 四分位数" K" U$ k! a) m9 E7 w; R" y
Quick Cluster, 快速聚类
. H+ `. v) }, L8 c4 \7 S( ERadix sort, 基数排序
8 @) _1 p6 Q* i. r3 ]" URandom allocation, 随机化分组
8 y2 S+ o( R) _Random blocks design, 随机区组设计. Y% {2 h) R U7 c
Random event, 随机事件
0 j# m1 {) n' n8 x- f$ V6 N4 k0 o% NRandomization, 随机化
m- [7 v8 c) y+ p2 q2 N( ]7 @Range, 极差/全距
: P* h$ `1 {8 P VRank correlation, 等级相关, g4 F7 G. L5 j0 o+ O
Rank sum test, 秩和检验, b! }# Y1 V$ x, Y% l. d
Rank test, 秩检验
]5 H4 |8 Y+ Y5 J9 `& pRanked data, 等级资料" m$ k7 f+ _, J/ W+ e
Rate, 比率# \7 a4 ]6 {! Q& h, T$ r# O6 B
Ratio, 比例
. ~. C( K4 P6 tRaw data, 原始资料1 N" u4 z& s' N. l0 l# t& n, o
Raw residual, 原始残差
1 V" P6 e7 o; p0 lRayleigh's test, 雷氏检验
# {& p$ F d/ j/ i2 y6 I8 {Rayleigh's Z, 雷氏Z值 - h! a& K- U3 I
Reciprocal, 倒数
" k. {; r# T: ~& k9 f9 oReciprocal transformation, 倒数变换
9 A; w3 A4 c, B. ]' b MRecording, 记录
- R1 Q! E$ O' ~8 S% \8 v* B! P [Redescending estimators, 回降估计量
, `0 X$ u( _' e, \! K1 {) YReducing dimensions, 降维
! P& d. U- r- Z. g& ORe-expression, 重新表达 ?$ I) O% q' _) r. a/ m
Reference set, 标准组
( F3 W8 K3 M4 w' pRegion of acceptance, 接受域2 w0 C* d' N P0 u
Regression coefficient, 回归系数. m8 x$ Z' R S' E* i+ M
Regression sum of square, 回归平方和2 N0 p- m4 G9 \$ N# P
Rejection point, 拒绝点; F" X6 D0 ~ B1 q2 v
Relative dispersion, 相对离散度
D# g2 ^. |, s( }$ hRelative number, 相对数
1 ~0 A- b3 x% R/ c* h5 X/ jReliability, 可靠性. {0 a4 Q6 f6 M
Reparametrization, 重新设置参数
0 J& g1 l# p, j% g% iReplication, 重复- L: Z: ^8 Y# ^( T2 ^, O
Report Summaries, 报告摘要. P1 j6 B0 n/ w
Residual sum of square, 剩余平方和
: M) D. u9 B" Q1 F: fResistance, 耐抗性. R/ ]4 z! ^, l1 n
Resistant line, 耐抗线8 Y1 M8 V4 j# s2 l# R( K' V6 S
Resistant technique, 耐抗技术
* s* I. K( ^: |R-estimator of location, 位置R估计量$ Y% P' [( Q7 J% ^5 @6 A
R-estimator of scale, 尺度R估计量6 g' F( _5 ^3 y1 c$ w6 N) K& z3 U
Retrospective study, 回顾性调查
) s4 c% X8 ]" h9 D( B" ?9 dRidge trace, 岭迹3 p4 z: c( F/ ^+ [- {& X
Ridit analysis, Ridit分析4 Z" V7 E' A9 q( {6 @. T% i
Rotation, 旋转
3 [3 c9 v B* ^: ~Rounding, 舍入& @0 M( A# X$ L7 [
Row, 行4 Q! R8 a0 H( ?7 a. [
Row effects, 行效应
, o* T% j6 b5 C# [3 jRow factor, 行因素
- j$ K# `& @2 h4 L; [2 \ jRXC table, RXC表
: y1 s8 y9 I) N5 ]# K4 V1 fSample, 样本
% C* ^0 M6 F6 r; U$ ?Sample regression coefficient, 样本回归系数* p4 G. w! E' T0 Q
Sample size, 样本量# D. ]3 c* S0 C+ ]
Sample standard deviation, 样本标准差4 i8 ^2 v9 d! h9 V8 Q5 O5 ]( @
Sampling error, 抽样误差& o) Y: \" t4 |
SAS(Statistical analysis system ), SAS统计软件包6 o+ Z2 J8 n* {; @3 i8 E/ ~
Scale, 尺度/量表
2 W8 y! o* C+ I9 H1 T& L& S1 U* V1 ZScatter diagram, 散点图
4 N* a8 k- ?+ @ g: ]* i& OSchematic plot, 示意图/简图& |( y2 v: ` m9 x3 w$ F0 y
Score test, 计分检验9 z% ^# ]. y4 M
Screening, 筛检
' e" ]5 M: x5 v' nSEASON, 季节分析
% v6 V! l8 W# `" hSecond derivative, 二阶导数! R0 i$ h( s; \ y! A
Second principal component, 第二主成分; {1 T z: r* v9 c8 ?
SEM (Structural equation modeling), 结构化方程模型
) j. [0 f; e" z6 s7 n0 t: CSemi-logarithmic graph, 半对数图
8 Z- L' z1 c* q ZSemi-logarithmic paper, 半对数格纸
: x4 ~! P, ?* s- U9 s! |# ]5 l: i: i( FSensitivity curve, 敏感度曲线0 C6 s3 t/ C+ b/ G% [0 h
Sequential analysis, 贯序分析 K; q$ ]0 j Q/ G/ e0 E
Sequential data set, 顺序数据集" r7 p7 B' q/ p# |
Sequential design, 贯序设计3 n+ {8 M5 e% ?. [
Sequential method, 贯序法
% Y2 M% |1 G+ |6 h5 a: cSequential test, 贯序检验法
$ Q; S0 ~+ l- `$ ?6 ]Serial tests, 系列试验
# A/ T1 D( F% T: bShort-cut method, 简捷法 % ^* a$ g3 e3 }* ^( e7 L
Sigmoid curve, S形曲线
6 j* o" c0 C3 P7 s0 `4 E' iSign function, 正负号函数 x/ [4 A1 u7 G, r. R- a5 M
Sign test, 符号检验: l3 K. _. b3 b& i q3 m& K) i
Signed rank, 符号秩
6 Y$ c7 z' T" c$ q- {/ jSignificance test, 显著性检验
4 V: M- l: O9 ]2 B7 b! ?# L$ {( V7 {1 PSignificant figure, 有效数字
6 s2 X6 |7 L: O% ~6 [Simple cluster sampling, 简单整群抽样
# M3 p+ [& v# t0 V& ^9 J( @Simple correlation, 简单相关8 ~' E9 V% V6 y$ R
Simple random sampling, 简单随机抽样
' Y! ~/ t: W* ]( I) FSimple regression, 简单回归0 m; {. N$ M& p0 f6 j3 J
simple table, 简单表
) @% t! e' Q, e1 S, b9 k" ^5 I/ uSine estimator, 正弦估计量
8 l+ K7 o9 L4 X* b! G A; f1 |Single-valued estimate, 单值估计
6 y. g' Q( U' i. h, _7 t" a# ASingular matrix, 奇异矩阵
: L" w- v* g: z( qSkewed distribution, 偏斜分布9 x1 N; q7 M3 |- ^! _
Skewness, 偏度
7 W+ \; s( e& d; J' G3 kSlash distribution, 斜线分布
# W7 a8 }0 l. E ?/ zSlope, 斜率
9 e& {) a- E5 V, X6 x$ ] cSmirnov test, 斯米尔诺夫检验0 P: D7 Z# b4 L, d6 |% J( U4 F/ E! I
Source of variation, 变异来源
* r% u, i/ g/ R3 M7 N2 l$ s; gSpearman rank correlation, 斯皮尔曼等级相关9 Y7 C% ~& c0 a4 I! I
Specific factor, 特殊因子
2 L5 D! b7 _. ESpecific factor variance, 特殊因子方差
- f4 B7 X6 ?1 \ RSpectra , 频谱
! \8 N. b3 i. \$ m+ K& aSpherical distribution, 球型正态分布
' K* u/ F2 ~2 b$ vSpread, 展布
2 ^* h* S$ a* y- ?4 s) ^4 f* bSPSS(Statistical package for the social science), SPSS统计软件包2 B# c/ \! h+ r: f. `# U
Spurious correlation, 假性相关
8 P8 M" Y6 s& b1 a( K- v% g# vSquare root transformation, 平方根变换
, X: i/ X( ?' L, }3 VStabilizing variance, 稳定方差/ r" l: ?" S$ }* L/ a
Standard deviation, 标准差# ^: h+ w4 w6 V d* T6 j
Standard error, 标准误1 s* c: A" `# z( X6 F$ u0 @' p
Standard error of difference, 差别的标准误
7 Y+ K- H4 W4 `! R- ~Standard error of estimate, 标准估计误差
) k, O9 S) m9 Z* AStandard error of rate, 率的标准误
' i: s" e6 M4 N$ o# PStandard normal distribution, 标准正态分布
, a4 i3 b* b, _( l' E$ C3 k" a1 IStandardization, 标准化
) S- S2 Q' c) O7 ?9 a5 IStarting value, 起始值6 `* R2 n; v+ z6 @0 N6 z0 h; k9 M- x9 }
Statistic, 统计量
- d9 D {& {. @, M/ {Statistical control, 统计控制
+ d0 N& A5 S1 G! ]* b" S, M8 kStatistical graph, 统计图
( ?- Z0 r; A4 `0 {% H. }5 Q' }Statistical inference, 统计推断* l- V1 g! g6 r8 B) `" j" K' ?- x# i6 W0 ]
Statistical table, 统计表
5 @ d2 h5 z1 v mSteepest descent, 最速下降法
" d; ~. \9 ?5 i% g4 d7 }Stem and leaf display, 茎叶图2 ~) I' C% d& r" A& k( Q P* G [' S$ v
Step factor, 步长因子4 ?, u2 `+ w; d" w& E
Stepwise regression, 逐步回归
/ [6 Z" G; U/ [1 \Storage, 存
, r" q2 y2 l. T+ O$ gStrata, 层（复数）
/ a7 A* v' D: O2 F2 T/ r! K/ NStratified sampling, 分层抽样
! n1 ~- m3 `5 KStratified sampling, 分层抽样. p! f2 D" Y+ n( C1 |9 R" i4 x1 I
Strength, 强度
# G$ n* r+ ~ o9 k8 IStringency, 严密性
3 y' v" {$ a9 r1 M6 nStructural relationship, 结构关系9 I' x" z, z8 I$ q4 d5 R' k/ u
Studentized residual, 学生化残差/t化残差
) I: b6 p2 ~- k1 N M1 B5 U, ^- M- FSub-class numbers, 次级组含量
% F4 R& J3 e- o2 LSubdividing, 分割
) c- g; t+ v7 L8 [& [Sufficient statistic, 充分统计量! t9 ?4 p& q. r* \0 z1 o2 c" r
Sum of products, 积和, c6 u1 ^3 l* H ^; O0 G
Sum of squares, 离差平方和
7 O2 C$ @. t' c4 M2 h9 BSum of squares about regression, 回归平方和 ^7 y& S$ Q. A ^
Sum of squares between groups, 组间平方和% E; h' m, Z i3 ~2 ^
Sum of squares of partial regression, 偏回归平方和
# c+ k! _$ k6 K% h& C2 cSure event, 必然事件& X; e; ^) {7 I3 j/ S0 G$ ^
Survey, 调查
) y" L9 e, ?0 h& J( ]6 A8 \7 ^Survival, 生存分析3 {9 V; |+ w4 m( T0 s& G( M! {
Survival rate, 生存率9 m0 A6 H( k+ r/ }. H% u. M
Suspended root gram, 悬吊根图! g# @6 I9 c5 |0 t& C' f
Symmetry, 对称- S- \% K6 e d5 f$ J3 B# r
Systematic error, 系统误差! u9 T* M: M1 D7 E: f" K
Systematic sampling, 系统抽样0 _" o4 J9 E e2 n6 A
Tags, 标签
8 W7 o4 {' @5 O$ Z V9 S7 J& ~' dTail area, 尾部面积
2 z) ^% C2 ?( `2 `9 OTail length, 尾长6 v6 H( n4 m$ W1 b$ V8 ~
Tail weight, 尾重
Q+ O+ A# s9 ?0 nTangent line, 切线, ^0 _5 R; Q3 \. g8 `) n1 {1 C
Target distribution, 目标分布
% r/ l; K; R/ s4 dTaylor series, 泰勒级数& i8 |- T: D* L4 u% d
Tendency of dispersion, 离散趋势4 E, s) a+ O6 m R; G" a
Testing of hypotheses, 假设检验- t, n1 e8 U7 T3 F' b5 I
Theoretical frequency, 理论频数
9 H+ V6 Z o& h; iTime series, 时间序列
$ H x9 p6 h) t1 eTolerance interval, 容忍区间- ?8 t3 E8 W4 K
Tolerance lower limit, 容忍下限
& b# v9 | {" x4 N- B& mTolerance upper limit, 容忍上限8 @' L* }' F' M6 ] X
Torsion, 扰率1 e- Q2 g7 u0 Z: o1 u y( E, ^
Total sum of square, 总平方和
- T! q7 e9 ]" dTotal variation, 总变异
/ V/ w7 h! M8 F- b! UTransformation, 转换' }2 [" u% `( v
Treatment, 处理
/ g( C' ]1 r- u5 Z( H' {$ g9 e2 pTrend, 趋势
: L" ^1 d" H2 G M5 uTrend of percentage, 百分比趋势; o& G/ H. d5 N) s: M/ q
Trial, 试验/ P, F$ S n& C3 J& o: T9 {0 @) E
Trial and error method, 试错法3 k" F+ s, c }) c6 b# |
Tuning constant, 细调常数
+ k' L7 |, W* c$ [: h6 ^0 GTwo sided test, 双向检验
& y8 I% R9 T+ |' n' n% V8 BTwo-stage least squares, 二阶最小平方( V" E$ U5 E T! A
Two-stage sampling, 二阶段抽样
' ?/ h- [% K1 M p, \Two-tailed test, 双侧检验( Q) y# U: m$ v
Two-way analysis of variance, 双因素方差分析
$ y0 ]' w) Y5 e. A) {( _% r; BTwo-way table, 双向表
5 F2 |" p0 U) @' v- T+ |1 d2 L4 [, @ QType I error, 一类错误/α错误
6 J% H6 j3 |! b% kType II error, 二类错误/β错误
! c# d0 f: P4 P4 ]6 ~UMVU, 方差一致最小无偏估计简称) w# Z( M& ?( {: y( Q
Unbiased estimate, 无偏估计8 B" ~* p) w* s
Unconstrained nonlinear regression , 无约束非线性回归
8 z9 F4 } A) j1 dUnequal subclass number, 不等次级组含量
) X( k0 R7 z9 hUngrouped data, 不分组资料- V+ b) M' S3 ?# q. c: @
Uniform coordinate, 均匀坐标
0 L. M- [6 t( N! d( a" oUniform distribution, 均匀分布2 n$ R3 }2 {5 R: H6 I) D
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
& S6 ]+ }+ |9 V- M# y# f6 wUnit, 单元
4 A( x! s0 N6 D6 t0 U! ~Unordered categories, 无序分类
, U. p: M) w* ]& M/ D y) G: k7 eUpper limit, 上限( |5 ]1 y7 ?- K. S& }# V' O
Upward rank, 升秩. p( `" Y% ^- k5 i3 Y' c/ {
Vague concept, 模糊概念
- C! W$ o4 h/ s0 T* c) GValidity, 有效性
: C3 U8 w3 I, [8 u1 _VARCOMP (Variance component estimation), 方差元素估计! _/ K$ T7 U- j/ G
Variability, 变异性 n8 ^# e! X( `5 ?0 ^1 E$ v
Variable, 变量# m3 R' z- q* O( k1 ^
Variance, 方差4 t( Z7 n0 M3 ]: C
Variation, 变异
4 R" u& ?7 b7 k9 f' ^Varimax orthogonal rotation, 方差最大正交旋转: t* r0 @7 u* O
Volume of distribution, 容积
4 u1 e) ~! m- J- rW test, W检验
) G; L/ j# P# ?9 @0 H+ R/ NWeibull distribution, 威布尔分布
3 C" F1 Q( }; B/ P9 J: K$ qWeight, 权数3 _: ?6 x5 i0 D
Weighted Chi-square test, 加权卡方检验/Cochran检验
% p' Z$ Y& r& R, ~' VWeighted linear regression method, 加权直线回归* m) W, s' Z& c) A- v( q) L
Weighted mean, 加权平均数
$ ?% `7 N- u: w6 NWeighted mean square, 加权平均方差
& ^1 `, e4 A. b/ K8 A5 ^Weighted sum of square, 加权平方和2 I6 s8 h7 J$ G! }
Weighting coefficient, 权重系数' c* W7 u, X' I$ X# s/ V/ e
Weighting method, 加权法
: L0 ]- d+ k# Q6 S% {) kW-estimation, W估计量
2 `5 S/ N: a% b: A9 g0 l4 e' w. GW-estimation of location, 位置W估计量
- P& j/ \( Q5 @( |" ?( |Width, 宽度# L, A! B3 t4 N' \: E; F, e& [9 q+ ?6 P
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
. r" w5 W4 Y8 c, _2 t% C3 b( {Wild point, 野点/狂点
9 t& m- h3 L0 W. QWild value, 野值/狂值* F! a/ Z( v$ x6 T
Winsorized mean, 缩尾均值& V, Q5 {* X0 Z! Q. n ?
Withdraw, 失访
- c0 }# y# o% @! O9 p) KYouden's index, 尤登指数' X" a# ^6 N& D2 N0 c
Z test, Z检验
5 z, ^9 b( R9 V# V* B( iZero correlation, 零相关0 @( x( A: ?0 v! I. c
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
