|
|
Absolute deviation, 绝对离差
$ Q0 k; A2 a) ^3 H: OAbsolute number, 绝对数3 b& o0 ^ |; }* h/ b
Absolute residuals, 绝对残差
1 U, N1 R7 D8 ^. o, }" d) eAcceleration array, 加速度立体阵
) T& x) ?, w( c8 i* f' UAcceleration in an arbitrary direction, 任意方向上的加速度" }6 Z$ d, \5 I+ G& T+ \7 n, p
Acceleration normal, 法向加速度
6 B9 D$ b" b0 fAcceleration space dimension, 加速度空间的维数: |6 X2 r9 c( g3 T
Acceleration tangential, 切向加速度; ]/ v7 ?- q; `. P! |3 _$ B
Acceleration vector, 加速度向量4 k9 x. f3 _- c' }
Acceptable hypothesis, 可接受假设4 O; k) G* R4 `9 R9 B0 Y" K/ z. b
Accumulation, 累积
6 _* {- j, }6 j9 y9 h PAccuracy, 准确度
) y8 {# ~ u% i& t5 z$ n `Actual frequency, 实际频数
6 K6 D5 ?1 S, p4 j# PAdaptive estimator, 自适应估计量
4 I8 k8 X: Z1 T( {9 g3 }5 \Addition, 相加" }$ _# |( B, J2 h* |
Addition theorem, 加法定理) u: ~: y, u5 C2 A1 n
Additivity, 可加性1 n8 x! Q+ s2 y) F
Adjusted rate, 调整率
4 M, Q8 a: g R7 ~Adjusted value, 校正值
! g8 l1 K5 h- P5 M, BAdmissible error, 容许误差2 f& Y3 O) ~: N. Y' L9 _; e
Aggregation, 聚集性
% y5 e4 F; ~$ `3 m9 F# }; w- [Alternative hypothesis, 备择假设
# f X, z% \7 L$ [0 g0 M+ y- [Among groups, 组间
5 H, K) _' y1 v" U8 n5 n# iAmounts, 总量1 Y! L& U3 E% v6 x
Analysis of correlation, 相关分析" c5 Z- M! _5 D
Analysis of covariance, 协方差分析
9 s: ^5 y# E; o0 @) U/ A8 f6 m9 Y& WAnalysis of regression, 回归分析( m- b h2 V$ P: i* s9 c$ t
Analysis of time series, 时间序列分析/ K3 n; C; p! o* N9 t% J6 {
Analysis of variance, 方差分析3 X* f- J" @1 n. _9 o
Angular transformation, 角转换
. O1 G5 _; D8 N" xANOVA （analysis of variance）, 方差分析
T# }$ m; [+ v9 l2 nANOVA Models, 方差分析模型, R" |; U1 b, ^) J5 Q
Arcing, 弧/弧旋9 {; n9 K: G) u7 f* I% ?8 U
Arcsine transformation, 反正弦变换
7 v& ?; E8 T+ D( s) B; f2 r3 IArea under the curve, 曲线面积' ?% k. y2 x9 i' ]) Z
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
0 {& Y3 R# V' t" PARIMA, 季节和非季节性单变量模型的极大似然估计 3 _( W H) F0 m. N( B
Arithmetic grid paper, 算术格纸6 f- |0 O/ r& S' w
Arithmetic mean, 算术平均数0 A W+ s3 Z/ J2 X
Arrhenius relation, 艾恩尼斯关系
3 b5 ?$ Z' L5 v6 E* S) I* pAssessing fit, 拟合的评估+ ]/ b5 n6 ~8 O' q
Associative laws, 结合律3 r: A& v8 o! X1 P: V, g0 N; Q5 o
Asymmetric distribution, 非对称分布
, D( v0 b# W* X" S$ p* OAsymptotic bias, 渐近偏倚
% T, [1 W$ a- o1 L8 P( Q. L4 aAsymptotic efficiency, 渐近效率! V6 }# y' W) I, h3 b
Asymptotic variance, 渐近方差
3 i+ ]5 w: u& YAttributable risk, 归因危险度
1 y* F c$ ~9 X& NAttribute data, 属性资料) u2 j) b9 M8 d. R- [( w9 v
Attribution, 属性
5 D6 ^0 |9 n# t+ v3 z) B6 TAutocorrelation, 自相关9 v5 g% _: K! ~ ?
Autocorrelation of residuals, 残差的自相关5 o1 X$ Y* E* u2 C+ L+ U
Average, 平均数' a' B( N8 S$ M/ z" W& W
Average confidence interval length, 平均置信区间长度+ p$ g9 e4 h. v. U! j
Average growth rate, 平均增长率
, z" ?' b! B( j8 G- nBar chart, 条形图
( F/ ?. M4 f$ dBar graph, 条形图
- s4 }$ J. ~' g9 Y, J; ~Base period, 基期
' f/ h1 x9 x* c% c RBayes' theorem , Bayes定理
4 I3 V! S. s2 x% U5 jBell-shaped curve, 钟形曲线3 E- g( A( i5 d# f7 b; Y* R' v: j: T
Bernoulli distribution, 伯努力分布
. N# L9 _6 C% N# sBest-trim estimator, 最好切尾估计量0 v i8 ~" ^# I0 C. p
Bias, 偏性! O( ^+ w u4 d3 R& W& D& W
Binary logistic regression, 二元逻辑斯蒂回归$ t" o8 Z7 ]% r
Binomial distribution, 二项分布' H+ J" o3 A$ j
Bisquare, 双平方
% Q) N2 O9 m. s' W- PBivariate Correlate, 二变量相关
9 h+ o% }5 U4 j5 r7 ?6 E( SBivariate normal distribution, 双变量正态分布
5 c5 B% H, R" T2 j5 XBivariate normal population, 双变量正态总体- r- k8 A# f T
Biweight interval, 双权区间2 y5 s8 v! D2 V! P4 a6 f- R
Biweight M-estimator, 双权M估计量
- b) a; C% W5 y% UBlock, 区组/配伍组7 V2 O" r+ j4 H+ K5 b3 `7 O
BMDP(Biomedical computer programs), BMDP统计软件包
; _/ M% r: c0 f9 I: ~0 r. s3 uBoxplots, 箱线图/箱尾图3 w- {0 m+ j9 v2 A8 o
Breakdown bound, 崩溃界/崩溃点( n* Y: o2 |- A0 f# ~
Canonical correlation, 典型相关
! p3 w5 N% B4 b: CCaption, 纵标目2 R' _9 C% C% O; Q" @
Case-control study, 病例对照研究; N) y# G6 G) D7 J6 D
Categorical variable, 分类变量9 r8 a" z* b4 y( C/ ?4 B
Catenary, 悬链线" e! x; C$ K$ u
Cauchy distribution, 柯西分布
9 o: z0 {+ v lCause-and-effect relationship, 因果关系
9 O# u K3 [+ T: GCell, 单元
; L; b: B# B2 P& P" QCensoring, 终检
8 P$ Z! }. n6 t3 y0 x: L$ vCenter of symmetry, 对称中心0 H3 a, ^" ]; Z$ l
Centering and scaling, 中心化和定标" j) C4 d$ R; I4 R0 C% A- z
Central tendency, 集中趋势
5 v6 F9 v; n2 Y; QCentral value, 中心值' w# _4 o3 r) z. W/ E `% m
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
3 z& b* V/ Q1 X- B# H; uChance, 机遇6 t3 l$ S6 s2 s: i
Chance error, 随机误差+ h9 v: S" V; }* b/ ]+ l
Chance variable, 随机变量
1 S* b6 Z, i2 y/ y3 uCharacteristic equation, 特征方程
6 }6 h+ d% P n) I1 e! C% P, gCharacteristic root, 特征根
6 t8 |% a. B& a% ]8 R, mCharacteristic vector, 特征向量
* C3 E3 o6 G1 [% K4 K; d2 h# EChebshev criterion of fit, 拟合的切比雪夫准则
) C8 f( X8 K: Z! s5 v5 Y5 QChernoff faces, 切尔诺夫脸谱图6 @; H5 C5 a) m. }0 M: j+ {
Chi-square test, 卡方检验/χ2检验
' b0 K; n0 a* t" C/ E0 ECholeskey decomposition, 乔洛斯基分解
4 H1 d, \5 o+ p; V% x7 [" }: l( A/ aCircle chart, 圆图
9 C3 {& w) @, t. a9 _Class interval, 组距/ J4 G" D1 U V5 m, q4 n
Class mid-value, 组中值; h; |! A6 |0 e' N, S
Class upper limit, 组上限
A X: u5 Q# D' i) f3 ~% b" dClassified variable, 分类变量0 N% G" u, \) t/ j2 W! ]
Cluster analysis, 聚类分析
& z9 U8 t+ I; W8 a& F( v0 lCluster sampling, 整群抽样
7 O" d3 Z. ~0 L1 ?+ t# |Code, 代码
3 |8 [5 y; r7 Y6 k# GCoded data, 编码数据
1 Q' {( y! t1 j1 \ yCoding, 编码6 k# l' f" E z: }0 v# c0 E
Coefficient of contingency, 列联系数* k* B' N8 c' s% w; ~" t
Coefficient of determination, 决定系数( u6 _$ ] f% C; i
Coefficient of multiple correlation, 多重相关系数' z" X x6 y! U% t \
Coefficient of partial correlation, 偏相关系数
4 S# ^8 o- ?1 l: o* }; J1 f1 cCoefficient of production-moment correlation, 积差相关系数
$ n5 t- U) c V. k! N/ dCoefficient of rank correlation, 等级相关系数
( A; `8 K9 l% B1 LCoefficient of regression, 回归系数9 p& y* Q' E# Y+ U+ k
Coefficient of skewness, 偏度系数
2 t, @. O) {, | A; y/ f# dCoefficient of variation, 变异系数
: q' o! {. f& v4 d4 @* R. aCohort study, 队列研究: i$ A3 T$ H9 D5 s3 N( }! j
Column, 列# h+ d& x+ @8 `( M
Column effect, 列效应/ u+ R" C) d: S1 O4 ~$ w/ Z" d
Column factor, 列因素
; @9 _$ @2 Y% R0 hCombination pool, 合并6 [" U* E: S; R9 e; g! @5 c: u
Combinative table, 组合表
6 F% _" _% B0 A8 Z) eCommon factor, 共性因子
7 Z3 N. C" Q2 M( @; cCommon regression coefficient, 公共回归系数! v" B& t6 o- n n2 U/ ~; k
Common value, 共同值
& n' D0 T6 J$ }3 m+ B$ CCommon variance, 公共方差4 k5 m# }! z" Z( {
Common variation, 公共变异- P, a+ |: i- Q
Communality variance, 共性方差1 h3 a0 |0 U ~
Comparability, 可比性
e/ E' w% Z5 G9 A. n3 s& Y ^Comparison of bathes, 批比较
8 t2 F; F B: \& U8 @2 t" OComparison value, 比较值* P4 N$ d1 | D( ]6 y! k" T
Compartment model, 分部模型+ a6 e/ w# E7 {- Y$ l; T' X5 {& f
Compassion, 伸缩
" [8 L/ y: G4 sComplement of an event, 补事件% Z& r! }$ w2 \
Complete association, 完全正相关
9 i0 Z4 G/ C* S4 P0 b# O$ wComplete dissociation, 完全不相关
* v; T# A8 F- P; F( }% i' YComplete statistics, 完备统计量
, A; T' U4 D8 h: wCompletely randomized design, 完全随机化设计
% v4 i' w1 x0 b# [5 S _% Q2 {6 XComposite event, 联合事件5 ~1 O1 x2 A( E* L5 {7 r! i
Composite events, 复合事件
' V6 m/ q! V* R8 X$ q4 t8 e" CConcavity, 凹性1 A+ o X7 D9 U3 c5 R/ W# q; y0 d: A
Conditional expectation, 条件期望
! [# b0 N* i7 k1 Q: F: rConditional likelihood, 条件似然
7 \0 ]" `" L) B2 o) d: _, z: pConditional probability, 条件概率2 h$ ~9 s8 X' f8 D, E$ r
Conditionally linear, 依条件线性
" g4 F9 A8 N: D2 z7 h6 GConfidence interval, 置信区间& {8 _6 H3 x: D; e
Confidence limit, 置信限- H: n! ~( G# e2 }9 ^
Confidence lower limit, 置信下限8 h/ p8 m' c2 }, Q; v1 Y
Confidence upper limit, 置信上限6 c2 l$ D( `3 ?: @$ k
Confirmatory Factor Analysis , 验证性因子分析+ j6 ^; O0 S$ Q) e0 e" C
Confirmatory research, 证实性实验研究
/ F, t" O' _6 o. RConfounding factor, 混杂因素
) M7 h5 n' e" Q$ [7 NConjoint, 联合分析% N* W K5 S' K( p6 d
Consistency, 相合性: d1 y' ^0 e5 s5 w0 x' Y
Consistency check, 一致性检验
( x/ h& v/ S+ ]8 @2 v) Q7 n9 {Consistent asymptotically normal estimate, 相合渐近正态估计
1 w9 [) i/ ? b; J4 m# Q# M( A: SConsistent estimate, 相合估计
+ ^7 ]4 P# d! I" M3 QConstrained nonlinear regression, 受约束非线性回归
9 q# ~9 R* C0 IConstraint, 约束
9 x: n1 C7 n" d r: ?% NContaminated distribution, 污染分布
, r% j+ \" e# f# _' y6 fContaminated Gausssian, 污染高斯分布* b1 O) f4 Z& G' S
Contaminated normal distribution, 污染正态分布+ j x" w- G, `) q; d
Contamination, 污染- N6 \" @9 V! l% y
Contamination model, 污染模型- H# e9 N1 X6 ?. d0 a; I
Contingency table, 列联表+ N, x2 R& ~7 g& p& o2 }
Contour, 边界线2 \* c2 v: H( u( L; Z; @6 i0 c; x' m5 r
Contribution rate, 贡献率
2 Q5 _8 p% f2 l. B" U6 n' V# L. SControl, 对照& {. b2 l) F* o. q0 `# y- k- u, ]+ X
Controlled experiments, 对照实验
5 f* l+ G9 ^- A/ u1 @ @Conventional depth, 常规深度
# s" s, t3 ~5 mConvolution, 卷积1 u+ X8 k# T7 ^6 N4 b- v: G
Corrected factor, 校正因子4 Y, U. s3 t/ L0 K: D% c
Corrected mean, 校正均值9 x2 }* l: k1 t% U) k0 S# K
Correction coefficient, 校正系数+ X' S) z4 k) f- H, ^. K4 t2 J; t
Correctness, 正确性7 X( k) H {6 f6 o, T8 F* e9 K$ I: O
Correlation coefficient, 相关系数! L0 E+ h1 V3 @2 A9 J
Correlation index, 相关指数# G% i$ y6 r6 }7 L. s$ Q
Correspondence, 对应
& D* D! r9 D. o9 W9 {1 p$ o. nCounting, 计数; b* b$ k8 `' {6 g1 g$ g- H
Counts, 计数/频数
' {5 Q/ m- R: e0 ECovariance, 协方差
/ u8 V- j P6 |* g* r* d% gCovariant, 共变
0 x% W" `6 u( l% n" F% }3 |3 }Cox Regression, Cox回归
+ }* d, j: k& U$ {$ A; V7 wCriteria for fitting, 拟合准则
# v+ w8 O Q7 k: QCriteria of least squares, 最小二乘准则
) e9 M. P; F) ?3 s; xCritical ratio, 临界比
- g) c. L6 ^( N: HCritical region, 拒绝域
& [. Q% O3 Y# \2 yCritical value, 临界值/ s4 u- |6 e/ i% ]' Z
Cross-over design, 交叉设计
S$ d. N0 T6 f3 cCross-section analysis, 横断面分析2 i2 u: A' W8 r+ ~0 e2 u
Cross-section survey, 横断面调查1 [: Q9 f z* Y! O
Crosstabs , 交叉表 : g4 Q3 N: f+ s" S, y
Cross-tabulation table, 复合表( K& N G; c S$ r5 A
Cube root, 立方根
& Q$ V- u8 Z6 R2 t$ S; p3 j0 PCumulative distribution function, 分布函数 x% ]5 k; F3 J1 R5 n0 ?5 Y
Cumulative probability, 累计概率0 I0 H' `) n) j* u$ n0 x9 [
Curvature, 曲率/弯曲% m9 w* N( {0 g& y
Curvature, 曲率" y0 r& X$ P' C5 Z- C
Curve fit , 曲线拟和
( d: U) L) M7 a3 YCurve fitting, 曲线拟合
1 }6 T+ ]2 R" F& j7 l9 |; ECurvilinear regression, 曲线回归2 z J5 I5 d. F8 J# p2 Q! Q
Curvilinear relation, 曲线关系 H. |- H3 m- x
Cut-and-try method, 尝试法3 ]9 g% f/ }9 w8 e, N
Cycle, 周期
5 M Y! F5 }: h1 Y4 zCyclist, 周期性8 _! U7 o4 | V8 o
D test, D检验
2 y6 E; z0 m! x& J8 m1 B9 ~Data acquisition, 资料收集1 S3 W5 F7 E( T$ I c3 R
Data bank, 数据库
, Q E9 b% I- M3 K& e1 vData capacity, 数据容量' e( w3 x+ h, B7 Y4 z9 X, F
Data deficiencies, 数据缺乏
/ v' l$ c7 c @3 q, n Z8 k0 Z/ LData handling, 数据处理: O& E' }0 p! R0 C# y
Data manipulation, 数据处理
2 E2 x" k, D: {" E# jData processing, 数据处理
5 g! m0 U$ a2 |1 {5 _# T2 g8 aData reduction, 数据缩减
8 I/ o: U# o- P1 j4 A7 \Data set, 数据集$ C+ e Z/ q! N* l5 k
Data sources, 数据来源
4 B4 k& H3 Q; ^" [Data transformation, 数据变换
8 z( q* x) [- Q7 r+ lData validity, 数据有效性9 m6 N( R" `* S: E( q+ @6 O R
Data-in, 数据输入
3 j2 n* @$ a4 ?5 n7 ?Data-out, 数据输出
3 W, M, i! C/ z& P8 S1 ^Dead time, 停滞期# H: w. B7 c; R
Degree of freedom, 自由度0 }5 G3 @# l& i2 O3 J. Q' [, i, W
Degree of precision, 精密度
- h, v) x; ^ J' {# o+ S* |Degree of reliability, 可靠性程度
}0 X. Q# B3 B' L8 L, E6 TDegression, 递减
e( \. d+ ^: n! EDensity function, 密度函数
$ o1 }( t3 R2 }: u* b& s/ IDensity of data points, 数据点的密度
6 b; @% \) }5 e$ x" V* HDependent variable, 应变量/依变量/因变量. N; V' O) w: F8 A& Z
Dependent variable, 因变量4 ?; J, y3 p8 U: _0 P, c% Y1 `
Depth, 深度
# U: e1 P* F; I. i* NDerivative matrix, 导数矩阵! m$ _! {4 n# ?7 M+ @% b
Derivative-free methods, 无导数方法
! `8 W- `' L4 d2 L" sDesign, 设计% J- ^# Q& Y5 M/ l! R
Determinacy, 确定性/ d) Q% d: g8 d3 P* k
Determinant, 行列式
3 B" X5 G0 {. v( e o; \* x! lDeterminant, 决定因素5 \2 Q6 N# d' C$ Q& \5 j$ V7 J# [
Deviation, 离差1 D6 C2 z* f: w% F
Deviation from average, 离均差
: v7 b" q2 A9 t) W; E, HDiagnostic plot, 诊断图5 y% T* e9 ~% s
Dichotomous variable, 二分变量0 X+ i3 P$ K" }! y+ L3 G
Differential equation, 微分方程! \- @: W/ d" p: Q: l
Direct standardization, 直接标准化法
- @: F+ c* m, @Discrete variable, 离散型变量1 A( _+ {1 c5 h: L2 }' @+ |
DISCRIMINANT, 判断 o) u3 s1 e, |
Discriminant analysis, 判别分析5 d& c3 _% @& E/ O' [8 v7 `
Discriminant coefficient, 判别系数
. I2 `4 y1 @; S& e# V1 _* vDiscriminant function, 判别值
- _3 `5 W2 u" w+ Q$ ]" q1 [6 ?Dispersion, 散布/分散度! } E. h( t+ ]( Y# t) L0 X
Disproportional, 不成比例的
+ m* `& l0 v% O4 r# X% j5 t3 ZDisproportionate sub-class numbers, 不成比例次级组含量+ p h- ]) ^' p% a3 b
Distribution free, 分布无关性/免分布* h! h1 Y" P: p% M+ C: e
Distribution shape, 分布形状
* @2 w4 s k" p3 M7 Z8 m+ P2 M! y( XDistribution-free method, 任意分布法/ L( O* ? [) l
Distributive laws, 分配律
$ U8 I! u4 M3 S! ZDisturbance, 随机扰动项8 g! Q0 }+ V' [. H! g
Dose response curve, 剂量反应曲线: O/ p4 I7 N& I7 \: y, A8 X1 P
Double blind method, 双盲法
! q- T/ B* A' D- dDouble blind trial, 双盲试验% O5 x; V! {$ j6 a% k
Double exponential distribution, 双指数分布# M7 Y$ d9 x# t7 c6 [# {: m/ B0 Q8 [
Double logarithmic, 双对数7 ]/ M6 u. z& Y& s( g" m% z
Downward rank, 降秩
" D/ |% T% C4 R& ^' N* B# g/ b3 qDual-space plot, 对偶空间图
, J$ j! N" f9 A$ x! r1 b" PDUD, 无导数方法
/ _9 j# E1 x$ ?9 L6 iDuncan's new multiple range method, 新复极差法/Duncan新法
, ]% _& c, F% p; Y- E2 aEffect, 实验效应, J2 v4 C" B$ w8 ^. _
Eigenvalue, 特征值* t4 \2 D I1 W+ J5 _
Eigenvector, 特征向量
* }# \$ U" S5 z; j8 E7 A5 UEllipse, 椭圆
. t; {1 ` c9 N7 vEmpirical distribution, 经验分布" ]5 @# Z/ {; a2 F
Empirical probability, 经验概率单位+ U: W& Q% E2 N" J) W
Enumeration data, 计数资料
& j0 f3 d6 g& cEqual sun-class number, 相等次级组含量( |) e3 h. t% ~! U' i9 Z# H
Equally likely, 等可能
& r# _' G0 }- g) O' OEquivariance, 同变性1 x# c7 l1 G0 t) _4 V( y: l% l; W
Error, 误差/错误8 c2 E1 b$ a* t. s$ J
Error of estimate, 估计误差
: z% k3 z1 j Y( _4 q6 i/ YError type I, 第一类错误
# W) k# G& T6 b: W! `* pError type II, 第二类错误0 \* F$ e1 _; a$ X: d& {4 H5 F5 s
Estimand, 被估量: e" m0 Z' I# }4 R' J+ n( i" K! E3 h
Estimated error mean squares, 估计误差均方
: q' ?; m( |' b% h2 rEstimated error sum of squares, 估计误差平方和
- @, K4 i3 x; v( f; z( a- iEuclidean distance, 欧式距离$ v' g; E5 x/ Y2 D9 D
Event, 事件
0 K9 W" R9 G+ D m# M' |Event, 事件
0 k6 t+ o3 u3 H% qExceptional data point, 异常数据点
8 r" j9 H7 q( w1 _Expectation plane, 期望平面
7 M3 @* D2 i2 C6 B9 G0 nExpectation surface, 期望曲面9 ]: T# v# i! z- Z3 w ]/ A6 `
Expected values, 期望值
1 G1 A3 N. ?8 ?$ U; ], zExperiment, 实验
; b* n( R5 R4 }/ ZExperimental sampling, 试验抽样3 F# f+ L/ V4 k3 f
Experimental unit, 试验单位3 K3 m7 E; h2 |$ o0 V q, A( }! x
Explanatory variable, 说明变量7 |+ q9 `& M4 ~, ]' K9 |
Exploratory data analysis, 探索性数据分析( e0 I- T# t, e' K1 E/ M
Explore Summarize, 探索-摘要
* c3 y' ^( o. p8 M# JExponential curve, 指数曲线
- E6 A- D4 \* u* r# l/ f( }Exponential growth, 指数式增长
- Z0 N. D' }& G: y4 ~) \8 N' Z; vEXSMOOTH, 指数平滑方法
9 o2 e0 ~$ P9 O+ q0 c) w" P* lExtended fit, 扩充拟合2 J& _& t' P+ t; W
Extra parameter, 附加参数
: g. `' X+ m3 ?( e1 lExtrapolation, 外推法
. M* k. L) y1 I9 DExtreme observation, 末端观测值
. A4 V/ X$ ?% DExtremes, 极端值/极值# f8 m- d! q: P, |
F distribution, F分布
+ l/ A/ l# _8 C* l* hF test, F检验
( |: N' {2 P0 j6 y( BFactor, 因素/因子! s+ O' Z: }8 M1 P" ^5 m
Factor analysis, 因子分析$ o+ {/ S+ `* S+ q) P, l+ m0 l1 y
Factor Analysis, 因子分析; y, a$ X/ s- G7 y8 x4 @/ W
Factor score, 因子得分
2 M+ j b% z$ F) P% pFactorial, 阶乘# x$ {6 S8 H, S; G' T
Factorial design, 析因试验设计" l: Q I; U, ^% ]7 q W6 M
False negative, 假阴性) o9 \. u U! Q. ^
False negative error, 假阴性错误
) A& ~5 r: R' _& T- Q3 o ]Family of distributions, 分布族/ _* p% F! l- a% }; W z! l
Family of estimators, 估计量族; g3 S. m" e, ?
Fanning, 扇面% t) D8 J8 f0 ]4 R8 t9 y$ o
Fatality rate, 病死率% T1 _ Z8 U) d* ?9 T
Field investigation, 现场调查
. p, U/ j$ j! W$ Z9 \1 gField survey, 现场调查
" X( F. }4 y$ x, pFinite population, 有限总体
$ E }' W7 h4 L' ]Finite-sample, 有限样本1 \; s9 O+ C) B
First derivative, 一阶导数; P3 B! D$ \% [7 x, I
First principal component, 第一主成分
- \" J- S& D" h8 [First quartile, 第一四分位数
) [4 ~3 y+ }3 C; u" y' g, H/ |& dFisher information, 费雪信息量4 m6 |& d3 Z0 E) O( V# p6 r0 A5 K
Fitted value, 拟合值
6 H( e* a+ Y: r, U2 qFitting a curve, 曲线拟合
2 _# z9 I. s6 M' D: s( {) ~0 MFixed base, 定基* x6 P4 Q/ W0 M5 s6 |
Fluctuation, 随机起伏; V) e8 E8 ^" j2 o5 Z( q
Forecast, 预测- j( O3 c6 D: _
Four fold table, 四格表# i; O# }) k3 p
Fourth, 四分点
. l0 O8 b( Q# @/ g; T' Q2 L ]3 T' pFraction blow, 左侧比率0 U5 ^' U, e8 x& |, a1 r: f
Fractional error, 相对误差/ i* k" {4 H# C- O% M! \
Frequency, 频率
3 z1 J" R; N# G, K3 cFrequency polygon, 频数多边图
' m, q- w( H" c4 ~! c5 D' y* xFrontier point, 界限点
5 ]" M, Y- `. T4 d/ O; U/ H" C5 NFunction relationship, 泛函关系0 x5 q' S( N" ?/ o% x
Gamma distribution, 伽玛分布& E3 V* O, A$ c* s' Q: d3 i
Gauss increment, 高斯增量
- ]( m4 J( A& kGaussian distribution, 高斯分布/正态分布. h! @7 ]- z5 W P$ e% T, U
Gauss-Newton increment, 高斯-牛顿增量1 n( ]% y" Q+ `, M1 @$ S
General census, 全面普查; [4 k% f J) F8 a K$ s- w: V
GENLOG (Generalized liner models), 广义线性模型 4 y0 |/ G7 c. x
Geometric mean, 几何平均数
7 ] x; v% H: c/ G* d& G: FGini's mean difference, 基尼均差5 w0 z3 I+ f" W9 n7 }
GLM (General liner models), 一般线性模型
3 ]( N" A6 }8 U* aGoodness of fit, 拟和优度/配合度9 Y1 ^+ [# ~9 R9 p& O' r- z
Gradient of determinant, 行列式的梯度
s. B% Q O5 [7 D: F* U1 }6 J( YGraeco-Latin square, 希腊拉丁方7 i7 [! L8 `' @% H! N, C9 \
Grand mean, 总均值
# Y7 J" S% a3 c o: B$ wGross errors, 重大错误
/ L; c% ~8 P/ GGross-error sensitivity, 大错敏感度' ]) C7 s: s8 Z, p) a7 b* Z( Q
Group averages, 分组平均+ C# L" P0 H) `& |
Grouped data, 分组资料
+ b2 \ u7 Q1 p3 UGuessed mean, 假定平均数: J9 w2 t3 j& B" Q
Half-life, 半衰期
, A9 X! }& k# _! L7 \& X& K/ T; gHampel M-estimators, 汉佩尔M估计量
e r2 t7 e6 r) S6 R$ X2 \Happenstance, 偶然事件8 B/ p+ G( S* b6 a
Harmonic mean, 调和均数
; s5 S4 V6 P6 n7 Y- WHazard function, 风险均数, d6 j6 p0 [1 [! z
Hazard rate, 风险率( L" ^& `8 ]3 h* I* X# D# u! e! h6 C7 R
Heading, 标目 4 s5 v! H* j8 K2 W4 ?0 f
Heavy-tailed distribution, 重尾分布
1 J, f! c4 t! ~2 L8 ^Hessian array, 海森立体阵
7 _* s" I, R, W0 o3 i% MHeterogeneity, 不同质( p6 j9 j; B( ^& A
Heterogeneity of variance, 方差不齐
" G: v2 l* K) K/ j5 HHierarchical classification, 组内分组
- y* c5 ^: _" n& z( }0 THierarchical clustering method, 系统聚类法) `- I1 R, E- o' H0 W$ K" K0 c
High-leverage point, 高杠杆率点
8 v0 b8 I$ o" P; v$ e t! iHILOGLINEAR, 多维列联表的层次对数线性模型
& k, }- u2 @' Q, k8 w% V+ L( v' vHinge, 折叶点
9 _. p) J5 L( ~1 h+ C1 [Histogram, 直方图( Q8 u6 G% l0 k- N% B$ g" g
Historical cohort study, 历史性队列研究
& i$ r7 e$ v/ o9 G/ p: Q1 LHoles, 空洞( j# m, D/ P4 e/ ~
HOMALS, 多重响应分析
3 G/ a$ h0 R' h. ~9 [8 {Homogeneity of variance, 方差齐性
& f! g1 l2 t# q# o2 g# n8 X3 J2 bHomogeneity test, 齐性检验
/ ?7 N5 V4 v1 kHuber M-estimators, 休伯M估计量
# O( Z" n" O+ h8 `; Z, E/ ?- mHyperbola, 双曲线
) V7 g9 {( x1 j1 LHypothesis testing, 假设检验
- b# l6 }: \5 I/ W+ THypothetical universe, 假设总体
! o" T4 H$ ~0 Y# {Impossible event, 不可能事件
5 |# }9 E6 i3 H4 D5 {" lIndependence, 独立性
8 O# _' Q5 n$ ]0 vIndependent variable, 自变量; c4 B$ o4 B! _8 N) q U9 c
Index, 指标/指数
8 C* G8 s0 u2 |- ~Indirect standardization, 间接标准化法
' N. Y$ z5 d7 ?3 X# @9 XIndividual, 个体' Q1 }" |0 r8 s! x; r* S* V
Inference band, 推断带
( G) [" v+ ^' O( t/ l6 cInfinite population, 无限总体2 G" W s& Q4 p2 q- }& H4 H
Infinitely great, 无穷大
# K: M; x8 ` ?4 \$ j( F" A" a! GInfinitely small, 无穷小. A: d4 x" e! K- c. @2 `1 @7 a
Influence curve, 影响曲线0 {1 g, `" d* r! K, W
Information capacity, 信息容量
+ s6 k" I: Z. d- zInitial condition, 初始条件
8 _( }- G6 E8 [3 d6 t9 a; V' CInitial estimate, 初始估计值- a3 Y# o8 {+ u( J3 g- n
Initial level, 最初水平
9 } G o" O8 E5 VInteraction, 交互作用, f4 Y# A- J3 @$ L- u
Interaction terms, 交互作用项5 @1 e" o, r0 c3 j
Intercept, 截距
: Y+ k. m) g& V. F0 \3 w6 c, M5 XInterpolation, 内插法1 K) x9 G. w' g: O3 H+ _3 H
Interquartile range, 四分位距8 B& ?* M. w7 \
Interval estimation, 区间估计5 i7 }6 @( O0 v% t3 b" H8 ~4 T
Intervals of equal probability, 等概率区间3 ]0 |6 W$ D# z; s' K
Intrinsic curvature, 固有曲率1 P2 \* w# c( o
Invariance, 不变性3 {7 J( c* ^6 k, X5 \# `% A" ^
Inverse matrix, 逆矩阵
0 C* [9 k, M" _% OInverse probability, 逆概率- `: q! Z, g0 `' `3 y. M# N5 Y! t
Inverse sine transformation, 反正弦变换
! a1 @/ |( L u3 hIteration, 迭代
2 Y8 R* i$ @, Z5 ^* mJacobian determinant, 雅可比行列式" ?2 a/ d: J1 {" \
Joint distribution function, 分布函数$ m; ^/ N3 g+ [$ A$ x* T5 b
Joint probability, 联合概率( w* h$ ]) F) p" i
Joint probability distribution, 联合概率分布8 n q9 @. a A* z
K means method, 逐步聚类法
9 R1 c% d& d$ l' L- a/ ?6 H: yKaplan-Meier, 评估事件的时间长度 * d* m- i- @; V8 H3 h3 m. B' V2 m
Kaplan-Merier chart, Kaplan-Merier图
" ? O/ s+ W( Y- T& m" n- FKendall's rank correlation, Kendall等级相关
$ O; |* V' W" j! ?6 ~5 tKinetic, 动力学, H8 f. }! N$ s4 w; V
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验7 X4 K& X, v+ I4 Q2 Z7 o
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
5 ?( t% b. R( N' B, O, @# _# }Kurtosis, 峰度
9 V* f! q. L: ]) i; n5 {Lack of fit, 失拟
3 \9 l M2 d0 S1 }' Q( t, HLadder of powers, 幂阶梯3 V& ], c" C( D. a
Lag, 滞后
* B' ~: r. k: h, ILarge sample, 大样本' U4 u6 g: g9 O$ q3 [
Large sample test, 大样本检验1 c/ |4 s* R/ E+ E
Latin square, 拉丁方3 x3 s! X& @3 ~5 P' ?8 |$ r4 @
Latin square design, 拉丁方设计- R6 D, k! h# y0 w
Leakage, 泄漏$ b$ S! `. D$ {- y$ b, k+ k
Least favorable configuration, 最不利构形
0 ?0 g# c9 ^* V. f/ d+ ?Least favorable distribution, 最不利分布
* i S1 r( k. ^; X. S% g5 ILeast significant difference, 最小显著差法
7 R1 ?- H7 C9 p8 F$ a: `7 GLeast square method, 最小二乘法
* F6 J* l" d- W; }9 TLeast-absolute-residuals estimates, 最小绝对残差估计
/ h# E* Y3 ]0 Q$ c; @Least-absolute-residuals fit, 最小绝对残差拟合& ~( {7 ~. d; \4 c" y
Least-absolute-residuals line, 最小绝对残差线
9 r( T4 z: Q$ l+ N6 yLegend, 图例! S7 Y" ]# R: N0 C
L-estimator, L估计量
# V8 w8 ]2 m7 }6 x" F6 ~5 C7 YL-estimator of location, 位置L估计量
! R% F" Y' e Q* j" E O$ xL-estimator of scale, 尺度L估计量1 ? z8 ?. o2 K5 }; C6 C! F0 L4 l
Level, 水平
: g8 R- A! H+ M Z. ]Life expectance, 预期期望寿命
3 u2 k! O2 S; O9 a: wLife table, 寿命表( o3 u A$ n1 z* h( }
Life table method, 生命表法! f1 i' f, D+ x/ p, |- ]" g; l
Light-tailed distribution, 轻尾分布' F9 @; ~) H+ g, v
Likelihood function, 似然函数0 b6 ^) R. M: z4 B! O& q
Likelihood ratio, 似然比
& s4 I! ]% q, N+ F% jline graph, 线图
+ _0 ~" Y: w& x7 _: q: O' qLinear correlation, 直线相关
! }2 t' q6 v9 DLinear equation, 线性方程3 t! K2 t. B) z9 C. g
Linear programming, 线性规划
2 j7 y. F9 i- o3 g1 x7 yLinear regression, 直线回归9 a7 @) O! o* C; o" K8 \" t8 x
Linear Regression, 线性回归
2 Q' K+ c0 t/ CLinear trend, 线性趋势
( T5 t5 e* h& w1 l( O! X3 P5 Q& DLoading, 载荷 - V+ C( W, e+ y
Location and scale equivariance, 位置尺度同变性
[0 x5 m( P5 h y3 ?! \Location equivariance, 位置同变性
+ {& U. W0 F4 t4 _Location invariance, 位置不变性
5 j( C. J: n- |( D! `Location scale family, 位置尺度族
; Q/ | o7 B* C& S' OLog rank test, 时序检验
3 E% ~4 d$ n# v3 C( T' \* _Logarithmic curve, 对数曲线# C. Z) ^2 D# w% o% H+ ^
Logarithmic normal distribution, 对数正态分布1 o( Z- h4 j6 P& L
Logarithmic scale, 对数尺度
4 o9 s: }. k5 `: K. u+ ULogarithmic transformation, 对数变换
/ Q; U9 B% o2 @2 JLogic check, 逻辑检查
+ A! f# Y) m- N: HLogistic distribution, 逻辑斯特分布0 i- P2 C- n8 c
Logit transformation, Logit转换 v0 y) z- U( b6 A
LOGLINEAR, 多维列联表通用模型 9 h/ C$ k" B3 q4 H( B
Lognormal distribution, 对数正态分布
3 [: Q$ G/ j9 j, y# J0 uLost function, 损失函数
5 X z' V, |, {! i8 n! i, ELow correlation, 低度相关3 V# V g. m4 k* H1 a" V- T7 r
Lower limit, 下限
) U/ R E- h9 V1 M% G1 p9 p9 D" r! NLowest-attained variance, 最小可达方差; u% g, e. U8 x1 Z# \& z8 W
LSD, 最小显著差法的简称# m% B1 U9 Z0 l- t! p0 V$ w
Lurking variable, 潜在变量1 a2 ?8 n4 H$ {% D. N
Main effect, 主效应$ ^: j- `3 l0 h( `
Major heading, 主辞标目
! p! T2 f& W4 K! I) U1 W( RMarginal density function, 边缘密度函数
( Z! s! D& o/ k+ }8 oMarginal probability, 边缘概率' T' E& G/ `! Q; A4 m( F' `/ V
Marginal probability distribution, 边缘概率分布
0 Z8 c- C+ ]1 \. v$ [' D4 G( U" UMatched data, 配对资料
! _" X$ |. u% g& fMatched distribution, 匹配过分布% q( o* I; [5 V, V. O
Matching of distribution, 分布的匹配1 U+ N+ i- T9 a! C% r" q2 D
Matching of transformation, 变换的匹配9 s3 w* n* k% \( t2 x3 G
Mathematical expectation, 数学期望
0 @6 x7 G' B1 f$ r$ ^; r cMathematical model, 数学模型; U n" P& j$ f& |# A
Maximum L-estimator, 极大极小L 估计量8 j k6 r I) V" m. r( q
Maximum likelihood method, 最大似然法& `# U5 ~% j7 F0 T
Mean, 均数5 ~+ y' S. l7 s
Mean squares between groups, 组间均方4 C4 J' Z0 ]& X2 o w. [4 {
Mean squares within group, 组内均方
0 r% z1 R# C% J' X1 R5 wMeans (Compare means), 均值-均值比较+ F$ ?5 `/ {# u) j2 D* F: G% ]% E6 f# i
Median, 中位数. ]& q! u" N) o& y
Median effective dose, 半数效量& a) a6 X; N1 E" k
Median lethal dose, 半数致死量2 h1 ]7 ~ P% A' M
Median polish, 中位数平滑; J, u0 U9 D+ C
Median test, 中位数检验
/ c* B) c& g! cMinimal sufficient statistic, 最小充分统计量 m3 [) }4 T2 g9 \6 l
Minimum distance estimation, 最小距离估计 E- d4 W) W! I5 b
Minimum effective dose, 最小有效量
2 n- A g. Z$ l# z8 HMinimum lethal dose, 最小致死量) J+ L' T& y( ^( S$ P
Minimum variance estimator, 最小方差估计量
( X- `& J8 _% B* X$ }( R' Q7 E5 |MINITAB, 统计软件包
/ r% M! _' Z4 W' J" Q/ }Minor heading, 宾词标目
R. K3 `/ w1 tMissing data, 缺失值+ Z$ r {/ s, @. D% Z
Model specification, 模型的确定- h2 ^7 i1 H& q! U9 H2 X8 ^1 }
Modeling Statistics , 模型统计' G, [7 `+ m8 V
Models for outliers, 离群值模型% g! j4 X/ B8 c% Z& B; e' m1 r
Modifying the model, 模型的修正
! F! d q$ a' BModulus of continuity, 连续性模9 O1 u) W. {6 ~, B
Morbidity, 发病率
6 N" A2 z/ K; g% F+ d9 PMost favorable configuration, 最有利构形4 a" s' h9 K3 c. p& O) B+ W
Multidimensional Scaling (ASCAL), 多维尺度/多维标度6 [' {% ~: O# ?3 A. d
Multinomial Logistic Regression , 多项逻辑斯蒂回归, K. U: M9 w' S( `' C0 I' V
Multiple comparison, 多重比较, I; i' |4 l# h. v8 Y% R0 x
Multiple correlation , 复相关) v! P6 n9 Y) g+ d* ^- i
Multiple covariance, 多元协方差
$ h* E3 x; x: ]9 s! A- u# SMultiple linear regression, 多元线性回归2 P s/ P% J2 O6 y# O3 c% n
Multiple response , 多重选项: ?/ e3 O" [7 I. Y! q" e
Multiple solutions, 多解
! s$ \! |* B1 @+ X( KMultiplication theorem, 乘法定理
# f' g! k+ C2 B$ U5 nMultiresponse, 多元响应
. B3 l; \! P- g3 y3 p# O2 J+ [( TMulti-stage sampling, 多阶段抽样2 b! o" M8 R6 c0 Z. }6 i
Multivariate T distribution, 多元T分布
$ i T* N" m0 i& J* N. D2 i% gMutual exclusive, 互不相容 [7 N' A# |3 Y$ r$ e
Mutual independence, 互相独立
! P6 A: m4 L6 ZNatural boundary, 自然边界 p4 n/ a! K: m9 n" w6 c6 @
Natural dead, 自然死亡' |6 Q" I. L, i/ t' v; { n
Natural zero, 自然零
! R" A4 v( p, b; Z HNegative correlation, 负相关) V6 F2 O4 l V( R- T
Negative linear correlation, 负线性相关
2 C2 p B1 B& d( E' z8 sNegatively skewed, 负偏8 n% t/ o# g& a, X! d/ N
Newman-Keuls method, q检验
) o) x! M6 K% s6 {NK method, q检验
* e9 y: G% `, `" j( [No statistical significance, 无统计意义
9 m$ }; E! g6 V- { b R: UNominal variable, 名义变量/ q' J! ?* l$ ^ j! t' A
Nonconstancy of variability, 变异的非定常性) ^$ @" N# ~) b y3 Q; p
Nonlinear regression, 非线性相关1 `. u. Y9 `% S; J+ `# a1 o: S
Nonparametric statistics, 非参数统计
! ^, a- G% g4 b6 O# G0 ~+ pNonparametric test, 非参数检验
- y5 N4 w( D$ L) A, zNonparametric tests, 非参数检验
# _) t# z6 J) k. C( T" L" CNormal deviate, 正态离差
, d6 I: N& q% I! g/ k6 YNormal distribution, 正态分布
( R0 G% {9 c' u( A- bNormal equation, 正规方程组
$ q# u/ @7 T$ I4 P h$ ?Normal ranges, 正常范围
' k" `1 S, n j& r% {& ONormal value, 正常值
, H! Q. Z$ M: e8 b3 B3 e% Q/ rNuisance parameter, 多余参数/讨厌参数( E) R+ t; u' h; Y- k
Null hypothesis, 无效假设
$ p: }( C T& Y( s' W8 hNumerical variable, 数值变量
, k$ Y- u* e. _0 M' ?Objective function, 目标函数
. x# k" o2 ^6 MObservation unit, 观察单位
+ R* ?0 d9 X8 o* yObserved value, 观察值1 B, C9 H6 k0 f M8 {& X, v
One sided test, 单侧检验* m# d/ {1 t% D/ I0 z3 L
One-way analysis of variance, 单因素方差分析
, ^+ C/ W8 [" Z) w' e4 @: G7 A7 X- ROneway ANOVA , 单因素方差分析
0 V+ V( v6 y+ d" NOpen sequential trial, 开放型序贯设计
4 g2 A- b6 z5 z! N- z3 F+ \Optrim, 优切尾
& E) `" a0 l. i" Y8 ?/ u4 U3 z* Q; ROptrim efficiency, 优切尾效率' m: X% [6 [6 \9 e
Order statistics, 顺序统计量* u2 c, Z$ R' d; ~
Ordered categories, 有序分类4 ?; w, T' s) A
Ordinal logistic regression , 序数逻辑斯蒂回归
! ^" C+ w- d% X- x- [Ordinal variable, 有序变量, ~5 c. T, ?* u0 F- j1 K0 l+ [
Orthogonal basis, 正交基
4 G/ q2 D. ?+ S0 w0 z; e' aOrthogonal design, 正交试验设计7 I- o3 u( C% X6 Y
Orthogonality conditions, 正交条件5 K2 [+ M0 K+ Z2 Y) @- e: }; w) X2 h
ORTHOPLAN, 正交设计
7 X, q- @% a7 s$ aOutlier cutoffs, 离群值截断点
( l( i6 S ]9 v5 p: \Outliers, 极端值
' B# z# J1 ~# a. N4 q' A: u4 {OVERALS , 多组变量的非线性正规相关
. x( Y7 v" ^4 ?- pOvershoot, 迭代过度
) ], v/ H |8 i3 I, ~) {$ BPaired design, 配对设计
5 S2 H. \0 ?* u$ z/ c# `Paired sample, 配对样本
$ J. k2 Y' C* B9 y5 F& T; ]Pairwise slopes, 成对斜率1 h3 U+ s. @4 x7 |$ O" w8 B
Parabola, 抛物线) z E: r, ]; J4 s% Q
Parallel tests, 平行试验
. K6 g% t3 V2 _5 A8 A1 v+ @! X9 e+ v5 FParameter, 参数
, \0 c5 S" n- x1 i/ W3 Z7 {3 UParametric statistics, 参数统计
& L' I5 b( N% b! ^% l& ^" x6 aParametric test, 参数检验8 C8 S; f/ t3 q8 N' m
Partial correlation, 偏相关$ G/ x, s9 }: _. |* g4 g
Partial regression, 偏回归
. ^6 ?% n8 h* U. T+ W. w3 w+ z8 ZPartial sorting, 偏排序$ `1 e! |# A: j" V3 A
Partials residuals, 偏残差
/ B$ D' c% Z7 V1 J0 h e7 xPattern, 模式
7 h! U8 X0 x$ mPearson curves, 皮尔逊曲线
@( Y* g' h" z2 p4 g) I% V, q- Y( g" VPeeling, 退层9 \" [0 v, Q7 F \1 O. X) Z7 ]2 ~
Percent bar graph, 百分条形图
: V- d, K! F G3 o. `Percentage, 百分比5 v9 ]8 t6 ~+ k2 g! v
Percentile, 百分位数
8 Z# m$ H6 T6 K- MPercentile curves, 百分位曲线. Z4 ]( I/ y% W$ s6 ~4 p
Periodicity, 周期性
# m1 o0 J! {. Q! N7 ]8 }( ?Permutation, 排列( q: S2 H. I, B( M! I1 c
P-estimator, P估计量" v# A% I0 G( u
Pie graph, 饼图. V, W5 }4 S* U: \
Pitman estimator, 皮特曼估计量, l6 e6 I8 u! p9 T/ C
Pivot, 枢轴量+ P- d& u7 \! E1 ^
Planar, 平坦
0 |2 C |8 t1 G" s7 X2 C& b0 ^Planar assumption, 平面的假设; a8 I) _ i# L- S: q
PLANCARDS, 生成试验的计划卡
9 ?3 [* K0 R( T2 f0 _, q8 {# {Point estimation, 点估计
) {% d) C! Q V8 c, z& @' ePoisson distribution, 泊松分布
* [. ?$ I5 x2 W2 s; q. U$ m" F4 ePolishing, 平滑0 L6 S& c' B% ^' f/ J$ g. P
Polled standard deviation, 合并标准差& Z& R) M$ G, ^- E2 G4 d
Polled variance, 合并方差9 T4 q0 i5 ?7 p% z0 [
Polygon, 多边图
" c @% b+ U3 w$ w5 UPolynomial, 多项式2 T; E3 y3 ?; c. h( s# g9 ]
Polynomial curve, 多项式曲线
$ i! C5 T0 ^& H! jPopulation, 总体
8 ~) I/ K* a" J2 ^! q3 sPopulation attributable risk, 人群归因危险度7 A; Q+ }9 P; {3 s/ g0 z
Positive correlation, 正相关$ n( D3 `$ i/ a$ _
Positively skewed, 正偏
. M6 U$ \# w3 p8 l9 |! k) aPosterior distribution, 后验分布0 ~/ O, u: r' Y, g3 M" i
Power of a test, 检验效能0 u r B7 B6 q0 E/ R W$ D
Precision, 精密度
8 Z4 t2 r5 i7 z% |5 FPredicted value, 预测值: r; E1 s% r2 h0 m* M' l1 b4 { A
Preliminary analysis, 预备性分析
; `2 R9 S& ^& jPrincipal component analysis, 主成分分析
2 V9 X" B0 D* r" \- ?. sPrior distribution, 先验分布 e2 d) J6 E. F4 O
Prior probability, 先验概率
' Y/ R7 {# h# f5 ] ]7 Z. AProbabilistic model, 概率模型. p. M' h. i3 Y4 d* ^
probability, 概率- Y0 O: s0 _. z9 t0 _6 U/ q# A
Probability density, 概率密度; L% g) X, J) n( Y; `
Product moment, 乘积矩/协方差
% I4 ]* v, g3 c! n; k& j1 g' q! N$ MProfile trace, 截面迹图
( R7 O; D* S; {6 \/ uProportion, 比/构成比, Q; N3 L9 T! V8 B& S
Proportion allocation in stratified random sampling, 按比例分层随机抽样 L3 G) \" r; D I1 o
Proportionate, 成比例
' g6 U3 d& O8 E7 D2 nProportionate sub-class numbers, 成比例次级组含量* z' b% |* T% @/ N) M# `- s) g
Prospective study, 前瞻性调查
8 y& I& L5 s3 q+ m* C9 B/ hProximities, 亲近性
- F1 i7 {! K1 ?6 ~$ J& G# R+ e& CPseudo F test, 近似F检验; o8 O; g* k6 h4 W% A5 _" Q
Pseudo model, 近似模型
) h& R C, ]: m. R- M. p* QPseudosigma, 伪标准差) P" h8 `& l# v& N
Purposive sampling, 有目的抽样 m) \1 U7 |0 l* }) r) _* e" Q7 ]
QR decomposition, QR分解
6 a8 h. x2 d% M( T; ZQuadratic approximation, 二次近似 V- ?% E( v$ f7 U; y
Qualitative classification, 属性分类
& v" d8 ~- ]5 {! `/ U6 G8 QQualitative method, 定性方法# W; u; _$ n2 b# C
Quantile-quantile plot, 分位数-分位数图/Q-Q图 {! o9 q- ^. Z7 n
Quantitative analysis, 定量分析# e$ U% q1 Q6 d" s2 m+ ~
Quartile, 四分位数5 n7 ?. W8 b9 m; F
Quick Cluster, 快速聚类) u7 o( |% a" w" V- _/ M n0 E
Radix sort, 基数排序& ]* ], G: }! q4 j) |& c# E: t" P
Random allocation, 随机化分组& C4 d+ M' B% v D" Q
Random blocks design, 随机区组设计
/ b; j4 j4 k( |% P$ oRandom event, 随机事件! N2 g5 Z+ [0 x4 s8 `
Randomization, 随机化
6 Q% G' m2 A$ ?' B; p- g! ?Range, 极差/全距
: A, l" C& K- N& ?! t5 p3 xRank correlation, 等级相关
' f7 p! R: d6 H! l" }Rank sum test, 秩和检验
: D" l7 O) c% F5 ?# w4 D& XRank test, 秩检验
/ }0 t2 u Q t3 b. b7 N! KRanked data, 等级资料8 ?/ p; K& ~/ i; M+ z' w
Rate, 比率
4 P+ s3 y" t( f& TRatio, 比例
& M1 U# A# F4 {0 v! ~# KRaw data, 原始资料$ Z+ ~+ q: d7 d6 R( Q4 x0 D
Raw residual, 原始残差
J* ^1 s" t2 {( j' Z. _+ \* @Rayleigh's test, 雷氏检验
% F( i1 m# E( gRayleigh's Z, 雷氏Z值
& w( D ]' t1 ^* T4 u" c) H! DReciprocal, 倒数
( o8 T( J2 U0 ~9 f$ u1 v6 ?9 T. u: a6 \Reciprocal transformation, 倒数变换
% e' T# D4 z% v2 Y5 XRecording, 记录 F2 X1 e7 e! p6 \' t
Redescending estimators, 回降估计量
$ r" B; }& O" A; h2 y* O& d% VReducing dimensions, 降维
. z q, n! L8 g% I. xRe-expression, 重新表达
2 w! I6 h$ P! b9 t) j# IReference set, 标准组4 z, R+ J# F1 O8 O
Region of acceptance, 接受域
8 e% |& T8 Y8 m; @; }4 rRegression coefficient, 回归系数# l! ? ]4 b6 X J+ f, f
Regression sum of square, 回归平方和
- V- \; U0 k6 l& ERejection point, 拒绝点
% _% L, j/ p; W# K, sRelative dispersion, 相对离散度* n$ L" O( J4 S: S4 }: \8 q* v) B
Relative number, 相对数
6 X: y0 O) t9 |- }# m g) jReliability, 可靠性
+ Z' i/ K: K; R3 W. R4 Y: _+ SReparametrization, 重新设置参数
2 \0 C" }9 v+ \8 BReplication, 重复
; I) G6 d9 t+ i1 LReport Summaries, 报告摘要( V# B" v8 ?/ ^) a# x
Residual sum of square, 剩余平方和* [- k2 o0 Q. J% i
Resistance, 耐抗性
( z7 M9 E/ Z6 yResistant line, 耐抗线& m% C/ Z; A ~: E2 k5 T# Y
Resistant technique, 耐抗技术" C1 Y; L/ g% R# K* t& L- s
R-estimator of location, 位置R估计量
/ C8 \6 j; Y- u( ^- d3 UR-estimator of scale, 尺度R估计量3 M) z: b4 y$ j9 J9 }+ G
Retrospective study, 回顾性调查
. ] [& _4 e1 Y/ qRidge trace, 岭迹
2 ^* D% v8 h( L& z9 wRidit analysis, Ridit分析% R0 l; Y' u/ l: g
Rotation, 旋转
" \) L6 y* I( A+ v% N' V! tRounding, 舍入7 f J: K' }6 m' B7 j% m
Row, 行) v! s( a r4 R$ \) V- ?
Row effects, 行效应! `4 O- d5 ~2 c2 P$ k( U
Row factor, 行因素, t' F5 p' `9 z8 L# E
RXC table, RXC表
1 F$ s" R9 f- }' d' QSample, 样本
: a" k% t- l& _9 R, eSample regression coefficient, 样本回归系数3 P9 I0 o7 n, x" D! U( }. k
Sample size, 样本量
! k& o o2 q$ B9 k' [Sample standard deviation, 样本标准差$ K/ K0 |9 q. l0 i5 T" f
Sampling error, 抽样误差% Z. u9 p9 G- Q; u/ o
SAS(Statistical analysis system ), SAS统计软件包# R3 {# l0 V' d7 z2 |0 t
Scale, 尺度/量表8 r/ E& m4 W, U; y7 B
Scatter diagram, 散点图
( A; Y$ O- D4 ]( d( kSchematic plot, 示意图/简图
7 A, I8 n' x6 }# Q5 UScore test, 计分检验
- L: S& h4 `& H( o# ^* vScreening, 筛检
5 o( @' v+ ]9 h% [7 n: O" K t rSEASON, 季节分析 / z- D* A( h1 \
Second derivative, 二阶导数2 K2 y; H) E/ O% ?
Second principal component, 第二主成分
5 Z$ e3 r7 ~4 cSEM (Structural equation modeling), 结构化方程模型 0 V* _' x" Q8 b% k
Semi-logarithmic graph, 半对数图8 y+ d' _( e8 E6 N/ L
Semi-logarithmic paper, 半对数格纸6 ]3 g3 f" T Q' Z) Q( f- _5 r$ j
Sensitivity curve, 敏感度曲线" ?( g }# r. {
Sequential analysis, 贯序分析
; N' Q! m O* A! DSequential data set, 顺序数据集
, [# q9 W/ I" N$ ESequential design, 贯序设计
6 g# q' p0 |, o9 K' J# |Sequential method, 贯序法4 a6 _* y- d; h, p: ?& y; m! K; }
Sequential test, 贯序检验法7 x8 P' y( b6 n& Q4 ]! N
Serial tests, 系列试验- T O. e) k3 S' x7 W( S
Short-cut method, 简捷法
9 d. S. J/ V: ?6 ?Sigmoid curve, S形曲线" Q& p/ U2 k" |5 o0 q H
Sign function, 正负号函数
2 z/ s) j) w! ISign test, 符号检验) w( O- O" a7 L4 V x
Signed rank, 符号秩
. h# a9 B; B4 k# }' f' Y! MSignificance test, 显著性检验
$ I+ Z0 A$ x0 G) O% ]: A8 RSignificant figure, 有效数字
: I' N3 q+ B$ S" X9 _( e4 {# YSimple cluster sampling, 简单整群抽样. T; ?& A" ^) ~ v k! b
Simple correlation, 简单相关6 @! y6 m) K3 T* b2 P J3 F3 M
Simple random sampling, 简单随机抽样2 f! E( |4 B7 M4 E% b: B
Simple regression, 简单回归3 @7 T# n" w i% r2 g
simple table, 简单表* D; z! A6 l/ A0 k
Sine estimator, 正弦估计量
% E; G) w- |0 }! MSingle-valued estimate, 单值估计
4 ]; y7 i0 N4 O; r$ N. k sSingular matrix, 奇异矩阵
; V/ r. h+ Y; [2 m# `0 FSkewed distribution, 偏斜分布- m" X4 M1 o0 x* A
Skewness, 偏度1 R$ L7 v1 C9 s" u
Slash distribution, 斜线分布5 e2 U2 m3 o$ X( U; ~; c! l
Slope, 斜率. y. r- M4 B5 H: @# ?7 p
Smirnov test, 斯米尔诺夫检验. m. i+ ]3 X; [. V
Source of variation, 变异来源
7 ~, c% l U6 k- V' c2 b5 ^- [Spearman rank correlation, 斯皮尔曼等级相关
" F9 h' w/ K5 c* T( oSpecific factor, 特殊因子
* h x! k! l7 A' b. {8 i3 xSpecific factor variance, 特殊因子方差
0 G" H: G* g4 P8 q" u2 q X/ ASpectra , 频谱
! |, w1 j7 b& N$ C/ g6 A: x( qSpherical distribution, 球型正态分布( \# U1 \/ i! C6 K3 Y. a
Spread, 展布
, U* b5 E& W2 D# bSPSS(Statistical package for the social science), SPSS统计软件包* w1 h$ Q) C# X
Spurious correlation, 假性相关
/ x' M% [) j; c6 ?Square root transformation, 平方根变换
% c z% o7 W# S+ E9 G1 v+ ?+ RStabilizing variance, 稳定方差
6 V" \ l$ p2 m7 `# |+ e- eStandard deviation, 标准差
0 [; {6 t2 F& o- a2 q5 rStandard error, 标准误( E! g2 Q1 c, T5 a1 F6 |- v
Standard error of difference, 差别的标准误
/ ]: V; ^0 \8 Y9 {6 LStandard error of estimate, 标准估计误差
6 K& i1 [2 W1 `Standard error of rate, 率的标准误, [* i/ p2 J- T" E- @3 [. y
Standard normal distribution, 标准正态分布1 @3 e& j6 a( b! a5 ^
Standardization, 标准化1 W( u5 u- w3 b3 T( |/ K, f- n
Starting value, 起始值7 M( x* ?- h' R; h& c
Statistic, 统计量5 n0 d4 {) Z" t7 X2 K" ?( [8 @
Statistical control, 统计控制
7 K O! ^6 i- f" u3 u& w# W3 c0 sStatistical graph, 统计图 I/ p' f( Q# b3 r3 _: ]
Statistical inference, 统计推断
* S% D1 }- g1 h3 ?3 G3 \0 B2 TStatistical table, 统计表
$ s( b- ~$ {. c0 J9 BSteepest descent, 最速下降法" |! n% E1 G i5 ^& h
Stem and leaf display, 茎叶图
' i% E2 v! ^# OStep factor, 步长因子6 P( ?0 r4 U! z# a4 U. R1 E5 Y
Stepwise regression, 逐步回归
2 _1 R+ \: t, r4 o( W9 R3 g* k1 |Storage, 存6 o" _( M- N5 e7 \) h, U
Strata, 层（复数）
/ v7 G2 c/ r+ M& a8 c5 v0 x- HStratified sampling, 分层抽样* t/ H3 k6 ?, x9 p7 Q
Stratified sampling, 分层抽样# y2 A5 h7 ` m* f! } L
Strength, 强度 I5 h' C# Q( }3 B, `; @
Stringency, 严密性& @) t' B2 ]9 G3 N: U2 F+ E9 f& E
Structural relationship, 结构关系% V2 o- Y& k9 C& w2 j8 J2 V
Studentized residual, 学生化残差/t化残差& Y; _. T4 S+ y3 j
Sub-class numbers, 次级组含量5 {+ b) _5 o6 b
Subdividing, 分割
2 {6 T6 P# ]1 i" y% |% FSufficient statistic, 充分统计量9 K$ H4 p! {- Q% o/ z
Sum of products, 积和! ]/ l$ M/ l3 ~0 s) r% l
Sum of squares, 离差平方和: l2 d3 _) W/ w. y0 [
Sum of squares about regression, 回归平方和& [! P; S0 `9 N/ Z
Sum of squares between groups, 组间平方和
$ C- C3 \2 j) d- ySum of squares of partial regression, 偏回归平方和
- J4 r8 l- a* E# ]" ]9 d( k9 oSure event, 必然事件
) I# h! n2 ^' O/ I5 v# H5 vSurvey, 调查
) f- K+ n8 L/ NSurvival, 生存分析3 e8 f8 @+ g) `7 g7 \( w; w
Survival rate, 生存率8 S E" W" s1 h- M! g
Suspended root gram, 悬吊根图8 B) w! b' q. l# R
Symmetry, 对称
9 ]6 U6 v- P* l& l3 b; X+ fSystematic error, 系统误差
Y- f( P$ p" C5 \Systematic sampling, 系统抽样# n/ T6 ]+ R! ?2 @: J
Tags, 标签
8 g$ c" S' S; ~Tail area, 尾部面积
0 t: T f3 x( u5 s0 X2 [& ?Tail length, 尾长& `$ b$ f7 Y3 e
Tail weight, 尾重4 p. ^9 J* ^* w. [* y' C% T! L
Tangent line, 切线
- \7 W3 T. R u- M( _2 hTarget distribution, 目标分布
# t8 D/ V; T$ a f9 v8 ETaylor series, 泰勒级数% m4 [" K4 Z8 j5 R0 g1 Q
Tendency of dispersion, 离散趋势
0 K: P* |) H$ z! M9 ?' O- fTesting of hypotheses, 假设检验2 a/ |/ q- k8 G5 U
Theoretical frequency, 理论频数7 u2 q# M3 x) T9 |
Time series, 时间序列' S2 x1 A7 S7 y3 ~6 ?5 i
Tolerance interval, 容忍区间
/ i. k" A C0 O1 G) R( S% ]Tolerance lower limit, 容忍下限
' B3 T+ F# N5 Q& [& _Tolerance upper limit, 容忍上限+ {" }: k: P5 u' Z
Torsion, 扰率- D* E7 @; X, q/ N( Z
Total sum of square, 总平方和 a) o' E1 k8 F9 [$ g
Total variation, 总变异8 A6 C' _& C6 W' E
Transformation, 转换
4 f9 [7 a' |1 p( A$ R7 u9 ETreatment, 处理& _9 R* y3 y$ X9 p; `/ Z2 I( \
Trend, 趋势' G* ]5 k0 j# V' F
Trend of percentage, 百分比趋势# P$ B& w+ j% `- \; z
Trial, 试验
+ L9 ^4 t% j1 }. }Trial and error method, 试错法
6 @- _- h0 W/ a8 `Tuning constant, 细调常数
6 z8 l- {" d# z! }Two sided test, 双向检验; N1 m3 r& w- [
Two-stage least squares, 二阶最小平方
4 L, `6 @& t4 x$ bTwo-stage sampling, 二阶段抽样
0 T/ S6 a) Y" _$ ~; x5 }/ R8 {4 G* jTwo-tailed test, 双侧检验2 z7 a- s- I; b- y4 T8 ^6 k6 p
Two-way analysis of variance, 双因素方差分析
9 C1 z2 O) B0 Q( f# MTwo-way table, 双向表
1 \) Q" Z/ E5 VType I error, 一类错误/α错误
" i/ f; I5 i4 { IType II error, 二类错误/β错误
( [" m0 c+ I' @UMVU, 方差一致最小无偏估计简称
2 D3 e5 e$ n* Q. {0 PUnbiased estimate, 无偏估计
& s y' e& W+ {9 w6 V7 sUnconstrained nonlinear regression , 无约束非线性回归
. @* i& T y; h* dUnequal subclass number, 不等次级组含量/ d: [- o5 L" M0 Q4 I$ W, n8 [5 Q
Ungrouped data, 不分组资料
% Z% u& E# a p" XUniform coordinate, 均匀坐标
0 V% i% |1 _$ D R7 bUniform distribution, 均匀分布
; r! q. R- X& U+ J" E4 y( eUniformly minimum variance unbiased estimate, 方差一致最小无偏估计* G; {6 r3 L) m* L
Unit, 单元
" A- T/ a& D1 }5 r( I: bUnordered categories, 无序分类! W/ y* K1 d# M7 P
Upper limit, 上限2 T8 S/ u Z" U* H+ j2 o
Upward rank, 升秩1 v$ r$ C, N" C
Vague concept, 模糊概念. V+ F( l% q8 w) [/ n$ d$ `
Validity, 有效性5 }8 q. _! N6 _: W# [/ `
VARCOMP (Variance component estimation), 方差元素估计2 T6 O, z% A/ k! H/ o* ^) q% |
Variability, 变异性- h6 M" n) T$ T& Y
Variable, 变量: A" Z# \! C( y9 Z3 W
Variance, 方差
4 l. ]4 i* W; c: Y! m- HVariation, 变异
2 N7 P1 e" Q3 Q0 g. I1 s! e8 HVarimax orthogonal rotation, 方差最大正交旋转: s, o- r3 Z! u. s4 N* X. p& C$ p
Volume of distribution, 容积
. ~& L% \# Q( D9 iW test, W检验
7 V% ?7 k# c' `! z ~, QWeibull distribution, 威布尔分布5 z {- H& s) o" M
Weight, 权数
0 f9 N/ c" C- u) U7 JWeighted Chi-square test, 加权卡方检验/Cochran检验
! b V5 v2 N0 B' ~8 H6 h1 q1 ?Weighted linear regression method, 加权直线回归2 O }, `# K; v! [' D6 p% U
Weighted mean, 加权平均数" d* N) i5 h5 z" X$ n8 P+ e
Weighted mean square, 加权平均方差9 |+ a& H8 \9 c' H
Weighted sum of square, 加权平方和
. x& A2 t) x! K6 m( m( FWeighting coefficient, 权重系数! U0 w& {. K0 @
Weighting method, 加权法
3 y- n1 E+ R1 U% b" ZW-estimation, W估计量2 N/ j! Y! Y+ b% W
W-estimation of location, 位置W估计量
}" o3 F' l& F0 E6 ?Width, 宽度# C z2 |# [( e5 L# s
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
" n5 s" ^: U S3 `8 W |( ~$ aWild point, 野点/狂点) |! R! n: c- H' |$ J
Wild value, 野值/狂值
5 O0 t; _* W5 p- o, l |7 jWinsorized mean, 缩尾均值
7 H4 O) o; _0 c0 ]" EWithdraw, 失访
7 x0 Z) {$ @7 v% iYouden's index, 尤登指数
9 \. E% V! N6 EZ test, Z检验
# Q# b) _, {) x8 b/ q/ d9 GZero correlation, 零相关0 k8 j' h+ v( w! `) x4 Y% ]
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
