|
|
Absolute deviation, 绝对离差) h6 |7 Z; Y9 Q% N A
Absolute number, 绝对数0 b- \8 {! a1 o6 o5 R, g
Absolute residuals, 绝对残差
% N2 D$ [$ V* }- iAcceleration array, 加速度立体阵
, |) H3 }) O# rAcceleration in an arbitrary direction, 任意方向上的加速度
+ U( R, j# d# X) b" w; c3 K3 QAcceleration normal, 法向加速度5 e3 G8 V$ V# p. a
Acceleration space dimension, 加速度空间的维数
! g$ w; _7 }. \* R' h5 p* D3 b$ X. LAcceleration tangential, 切向加速度
0 V- c8 }3 n# W1 ^& IAcceleration vector, 加速度向量
: Z, v/ t7 K/ ^Acceptable hypothesis, 可接受假设5 R& g, x# J/ z" {
Accumulation, 累积
( m7 \4 s8 P7 g' r* c" `8 M; kAccuracy, 准确度
( B: t6 v+ w- w0 D9 E1 uActual frequency, 实际频数+ d. e9 `) g! u B4 u6 F
Adaptive estimator, 自适应估计量( Q1 I7 i' d; a) f
Addition, 相加$ s# {3 c" x/ E( O( D: h
Addition theorem, 加法定理
) Y! M, a2 h/ h( B# y, w- |Additivity, 可加性6 U1 z+ s8 k( i( R: M
Adjusted rate, 调整率
" F* V5 o8 y4 V( y3 I* u3 aAdjusted value, 校正值
/ E% y' h/ F; {0 O" x4 ^Admissible error, 容许误差3 _6 M) g3 a* I" |
Aggregation, 聚集性
+ W4 ?1 c* b! G# @ KAlternative hypothesis, 备择假设
! b) g0 H* S; ~7 s3 l- cAmong groups, 组间. u) }5 [ F4 x. Y& x
Amounts, 总量
) d+ ^6 e1 O1 ~6 s; aAnalysis of correlation, 相关分析
$ D3 {5 K5 I2 |( Q9 _% Z: w& VAnalysis of covariance, 协方差分析
+ z! N. K; u1 G9 f7 y* NAnalysis of regression, 回归分析
+ F- O( ], k% m% j2 ~! g$ rAnalysis of time series, 时间序列分析" I- \; l' z4 \
Analysis of variance, 方差分析
4 I" ?. v$ b: R8 \: x' d4 [* A- aAngular transformation, 角转换
) _- }) v# j3 U% J3 f( N4 N- |ANOVA （analysis of variance）, 方差分析
' y& ?- L: T5 uANOVA Models, 方差分析模型: r$ v* c/ @5 B! \3 L( X8 s1 [
Arcing, 弧/弧旋/ R' \/ y( w5 w7 K2 d0 H
Arcsine transformation, 反正弦变换2 M$ z% M: m4 N6 x* l
Area under the curve, 曲线面积
: D& l! r, M6 L7 hAREG , 评估从一个时间点到下一个时间点回归相关时的误差
* R c7 e+ i9 b: \9 i) jARIMA, 季节和非季节性单变量模型的极大似然估计 ) i8 C+ k: B \
Arithmetic grid paper, 算术格纸 X. F; L! H7 B6 y! ^
Arithmetic mean, 算术平均数3 D$ \, S. K- G# S- e/ N3 J- z
Arrhenius relation, 艾恩尼斯关系
1 k" M3 P7 Q' O; J, s3 YAssessing fit, 拟合的评估
0 T }% j. f# i, H9 ~! |( DAssociative laws, 结合律
+ P+ i8 }# G/ d& LAsymmetric distribution, 非对称分布2 r+ K& F& f6 L `
Asymptotic bias, 渐近偏倚
4 i9 I& x: {. M& T. k0 X1 N+ X! `7 \! dAsymptotic efficiency, 渐近效率
+ z' s! h9 N! b, pAsymptotic variance, 渐近方差0 [( j2 [0 c+ R7 }0 |) S" p }
Attributable risk, 归因危险度8 L- c% r2 t; v* X
Attribute data, 属性资料
0 V( t( z' ^$ S+ g, O% uAttribution, 属性
q$ l0 a( e3 NAutocorrelation, 自相关
7 o6 l( u: ]9 k SAutocorrelation of residuals, 残差的自相关
* D; G& c- }1 C/ f! {Average, 平均数
. q+ [7 v( z- w. YAverage confidence interval length, 平均置信区间长度% t2 c: ]2 }/ W# q9 x+ X( s& d
Average growth rate, 平均增长率6 a) ]& ~" n3 e; Z8 ~
Bar chart, 条形图
0 R3 k) |+ o) [; o3 D' P3 I4 F8 SBar graph, 条形图) Z) g7 ?1 e; D) U5 c
Base period, 基期
. t0 O9 ?8 V8 }1 qBayes' theorem , Bayes定理
7 a! _" T7 R, h7 mBell-shaped curve, 钟形曲线
3 w+ C1 a6 |# c; q3 x: v+ X2 ?Bernoulli distribution, 伯努力分布
1 ^8 G1 i! ?5 }" p1 d9 Z* v& }2 jBest-trim estimator, 最好切尾估计量2 N j* r' b0 D* O% r7 d
Bias, 偏性5 ~; t6 W. k, z- O/ z& R
Binary logistic regression, 二元逻辑斯蒂回归
. K0 P, T3 A) X9 J# fBinomial distribution, 二项分布* B2 b( K9 c( q# l \) }) `, s
Bisquare, 双平方! I& L4 k! u9 N& ~1 |& {
Bivariate Correlate, 二变量相关
6 y" Q' T: E- pBivariate normal distribution, 双变量正态分布. N: R) J4 T/ g F+ i
Bivariate normal population, 双变量正态总体
+ B0 L* d' N( b" y" X- @1 mBiweight interval, 双权区间5 o: N8 P) w0 M' m9 `% l
Biweight M-estimator, 双权M估计量2 L0 |# X! G1 r/ x
Block, 区组/配伍组$ G2 e# W2 y- p
BMDP(Biomedical computer programs), BMDP统计软件包5 g+ m' n/ O2 M, h& M- H* u
Boxplots, 箱线图/箱尾图& Z8 n8 S# J# B
Breakdown bound, 崩溃界/崩溃点
" }$ F8 N# c5 X, M1 c7 M$ {5 vCanonical correlation, 典型相关
% D; y, V, q. z& \Caption, 纵标目
& c1 m. \5 Q" ?; ^5 h9 {Case-control study, 病例对照研究: d( s: m( h' `9 C' ^' M% \
Categorical variable, 分类变量
& G1 B! @& k Y. x: d2 C- l$ _% f8 fCatenary, 悬链线5 a& G- ]- Z0 m% L0 Q
Cauchy distribution, 柯西分布
. u4 w& e! t* ]4 B8 [4 d' s# WCause-and-effect relationship, 因果关系
9 |9 P3 W' y7 K1 pCell, 单元
3 {7 a$ C% d- m* ICensoring, 终检
3 H. c! a3 S1 }% ~$ F. y9 d4 }, ~! cCenter of symmetry, 对称中心' D3 w" Z6 T$ N+ r; [0 z
Centering and scaling, 中心化和定标8 k4 y1 I7 l. _, F1 O7 R
Central tendency, 集中趋势
1 o/ V6 m9 c1 v% S% g% U# N* TCentral value, 中心值, v2 I& U% j( R( y9 s2 m* ^
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测- {" Z3 J. B- I) l' r! J2 I
Chance, 机遇
: T2 s- Y- u3 \: O' S: rChance error, 随机误差
( ^1 ?( o* O* R4 KChance variable, 随机变量
- T8 z8 b7 j' E" \Characteristic equation, 特征方程& g% x# |1 R$ L' Z! B
Characteristic root, 特征根
2 D! _$ O3 b; U2 w0 x% aCharacteristic vector, 特征向量+ R$ l2 }$ K& a3 }/ ]5 Y2 Z
Chebshev criterion of fit, 拟合的切比雪夫准则- ^8 d- ^0 M/ a- c
Chernoff faces, 切尔诺夫脸谱图& } n& [5 J0 }
Chi-square test, 卡方检验/χ2检验
! K" L1 k. G: G3 ZCholeskey decomposition, 乔洛斯基分解# O% P& r) s9 C
Circle chart, 圆图 9 \" x! X3 q3 K7 z/ X$ \
Class interval, 组距+ g& j6 l1 a/ `$ i
Class mid-value, 组中值
1 ^, {( Q3 F" V1 `. AClass upper limit, 组上限
) X$ ~7 a9 E4 F N( L0 KClassified variable, 分类变量
% t5 A7 D8 C4 KCluster analysis, 聚类分析' m" w- g4 ^' @* B- x5 I. j. y4 O4 q
Cluster sampling, 整群抽样
: ]! [2 _0 j3 w8 u% [Code, 代码
1 ^( ]. Y _" t% B7 cCoded data, 编码数据. z! w& r0 D7 @! ?
Coding, 编码8 a0 p$ t& h1 a5 `8 B$ b
Coefficient of contingency, 列联系数
* Q% {' t4 F, O6 M1 \Coefficient of determination, 决定系数
7 G+ A) r% c* @8 s( TCoefficient of multiple correlation, 多重相关系数
! H/ G6 t4 s8 aCoefficient of partial correlation, 偏相关系数
5 }* |0 n% `: U V! HCoefficient of production-moment correlation, 积差相关系数; K6 k* N2 c; b6 H9 |( ]4 z
Coefficient of rank correlation, 等级相关系数
. a: b: P4 O0 J8 E; F3 ~ g2 rCoefficient of regression, 回归系数
: u) X4 a R6 A1 b1 r- R5 ACoefficient of skewness, 偏度系数
& ^6 a% [8 h# f& o2 B" ACoefficient of variation, 变异系数' {! S- f* Q+ [9 v" c. C
Cohort study, 队列研究
0 y% F0 G# ^! S: S$ ^# JColumn, 列( H" A0 T0 v0 z2 X" M# k
Column effect, 列效应5 K) W- s! ^! c/ {5 _7 l
Column factor, 列因素% y7 y0 K" m) s8 J- |( F
Combination pool, 合并: a1 K, _0 z3 R
Combinative table, 组合表
8 O) |" J! @: n% Q3 p4 e& C6 bCommon factor, 共性因子( ^1 Y0 g7 P0 y- X5 S/ m
Common regression coefficient, 公共回归系数7 i* B8 _& v9 Y. [& J) F8 L
Common value, 共同值
: v+ K: R$ F* PCommon variance, 公共方差4 N7 |1 Q! G; W" p. E0 `8 c
Common variation, 公共变异
$ e. V' h# P9 kCommunality variance, 共性方差
6 c$ |2 @, x; ]: gComparability, 可比性
+ H8 U d9 k7 c3 G A" wComparison of bathes, 批比较
5 a- B9 O& z2 Y9 N, J& ?Comparison value, 比较值) N; f1 P' _/ c5 l9 \
Compartment model, 分部模型/ w9 B' ~ H; G$ b8 |
Compassion, 伸缩
d4 J U: H0 `Complement of an event, 补事件: K/ f9 U1 L0 ~* J. ~
Complete association, 完全正相关* M2 }6 p! [1 i; l! \+ m& l
Complete dissociation, 完全不相关% r% @6 O! q4 s1 x7 P6 i4 q9 h
Complete statistics, 完备统计量
% b$ o& L1 \3 w3 f) B9 i' k0 ICompletely randomized design, 完全随机化设计( ^& I) q0 `, K, p& z' k
Composite event, 联合事件
% R) r4 L3 x; K$ ]* TComposite events, 复合事件
, y8 `) e9 a9 iConcavity, 凹性3 g. Z8 p3 q' A0 Z8 S) Y( e
Conditional expectation, 条件期望. I1 j: E) v3 h9 ~- c
Conditional likelihood, 条件似然, p. d1 g2 ~7 o- N; k
Conditional probability, 条件概率
6 X8 w2 k3 u$ H( B: ^3 AConditionally linear, 依条件线性# t+ B, n2 m" G. @0 J
Confidence interval, 置信区间/ |9 u' f5 V4 i' s& e9 G
Confidence limit, 置信限
: H/ |, ^9 G+ VConfidence lower limit, 置信下限# ?- w9 L6 I# O8 d" k: {" l, ^! {
Confidence upper limit, 置信上限& f$ I. O1 j8 A0 \/ e6 C
Confirmatory Factor Analysis , 验证性因子分析- u% l, x. e' J0 J
Confirmatory research, 证实性实验研究
' T! ?2 Z! q3 B% Q4 VConfounding factor, 混杂因素
. |/ K, z6 l$ d7 B3 X KConjoint, 联合分析: i& O& Z9 X; p% O S
Consistency, 相合性; A3 |1 b8 }/ B* i, r; c0 Y: D
Consistency check, 一致性检验$ X6 c- W# D0 z
Consistent asymptotically normal estimate, 相合渐近正态估计& M( _* y b9 n! [, J: ^* S3 z
Consistent estimate, 相合估计: o$ s! r4 A4 C# K, P
Constrained nonlinear regression, 受约束非线性回归6 C; d; `9 q( Z
Constraint, 约束. X3 h& q8 N# |8 S3 s
Contaminated distribution, 污染分布4 Q1 r( c& N& f
Contaminated Gausssian, 污染高斯分布
% @7 Y. Z+ C% m# IContaminated normal distribution, 污染正态分布
. ]6 M& g4 I) V# V+ XContamination, 污染
3 ~3 F4 `& m( i" u" g1 MContamination model, 污染模型# ~' u7 H+ E6 f
Contingency table, 列联表
* u4 d5 A/ y7 ?5 q6 w/ FContour, 边界线
6 S7 v0 `# f3 y' {0 B5 M, eContribution rate, 贡献率
, u# h& B$ P0 x j) p; }( h% nControl, 对照2 S- K# h( R6 G4 T# k% M0 A, A
Controlled experiments, 对照实验
1 a) K$ R) F7 O( AConventional depth, 常规深度
% m, ]2 y5 K+ m1 N, ]6 BConvolution, 卷积5 ^( Z6 q3 I& x0 k6 B: O
Corrected factor, 校正因子/ t2 u+ X; }2 \0 Z( B. N
Corrected mean, 校正均值& O6 t7 q; @: l/ N- p3 f
Correction coefficient, 校正系数
/ i! n: H9 W* c2 _. q5 GCorrectness, 正确性4 Z- @; S- w" \; A( g* k
Correlation coefficient, 相关系数
$ }. f7 V7 O4 H( X$ K. wCorrelation index, 相关指数) ~- ~; G. D( q4 o! p+ o& E5 H
Correspondence, 对应# ], O8 K( A7 k( G2 l, W
Counting, 计数
; [3 O7 l2 C( [$ C5 DCounts, 计数/频数
( ~/ o7 y0 o& q" C g. ]+ X+ lCovariance, 协方差4 u; d0 l0 N% P, r3 F9 s4 g6 v* x
Covariant, 共变
Z: n5 Q7 J9 f7 `$ `8 |) WCox Regression, Cox回归: E# Y" k* F, l( l( `% p6 H3 _, V
Criteria for fitting, 拟合准则% T& z" U# @( O2 f/ [& X
Criteria of least squares, 最小二乘准则
6 ~( k% [* R8 ]Critical ratio, 临界比6 |5 Y% Z7 _) h4 e* U
Critical region, 拒绝域
. c/ s) l* m5 MCritical value, 临界值* l+ ^* P. ~# u( V! y8 l
Cross-over design, 交叉设计5 o. i' Y2 F9 | a
Cross-section analysis, 横断面分析
7 i, k) D% G( a( `: V5 k- eCross-section survey, 横断面调查9 O5 B7 B' J) Z* V4 u
Crosstabs , 交叉表
" F; z; x X0 _) [1 O, ?: g! {Cross-tabulation table, 复合表
: [' D; j* }+ j6 s- q2 MCube root, 立方根
, j0 r+ u" A5 X" ?% p! `, `Cumulative distribution function, 分布函数# b0 T* ?# ` E7 X2 {* X
Cumulative probability, 累计概率
5 Z" o: y3 S% _& tCurvature, 曲率/弯曲, I8 {/ d# E8 E, I2 i
Curvature, 曲率' W; |4 \' u! S( U, @. G
Curve fit , 曲线拟和 : N. Q; C' E" p0 o- m- @
Curve fitting, 曲线拟合, S, U N' m1 F( Y
Curvilinear regression, 曲线回归
7 M6 t3 k, n ^6 E& c2 W) rCurvilinear relation, 曲线关系
& [, }: w( I. @" f" MCut-and-try method, 尝试法
6 p, X0 \3 I% D' f- O v/ a2 N4 G5 W! BCycle, 周期; r$ q- j( g8 a' W# w- L( z& M
Cyclist, 周期性
# Q, S/ B* _1 E- u4 d1 GD test, D检验
; Z& G1 ?7 P# z2 o- BData acquisition, 资料收集) u K: l: x. ^' d8 G
Data bank, 数据库
$ `. x5 y# ?8 W' A, B# y6 i8 y+ HData capacity, 数据容量
5 m3 w* M' K9 HData deficiencies, 数据缺乏/ z: T @* E# `" k
Data handling, 数据处理
* G: N0 p) [& M; Z, @Data manipulation, 数据处理2 m: B s, b h6 u9 D$ k* k; ~( c! B( [
Data processing, 数据处理
& B, _$ F, j6 g3 x' mData reduction, 数据缩减/ r& Y2 t6 \4 B2 U, E) |+ w! }
Data set, 数据集/ X, F9 B# h s6 `6 d, u
Data sources, 数据来源9 W6 s0 a: p9 `* D9 @' y
Data transformation, 数据变换
4 Y' t* z" p4 J- E" t# Y3 DData validity, 数据有效性
" Z; D5 f" v" p6 L6 nData-in, 数据输入
# I0 A! s+ J' z" i* L1 JData-out, 数据输出
/ _7 E5 s0 V! h! o6 I" p) e7 UDead time, 停滞期
# `$ x7 F+ q6 ?, \9 z9 _Degree of freedom, 自由度
. Q: C: W' k4 n% T2 B, |8 \/ [Degree of precision, 精密度% k" V. @! P. E5 b
Degree of reliability, 可靠性程度6 h/ ^1 n, P. u4 Y
Degression, 递减1 c0 j' d" ?& r
Density function, 密度函数
- Z ~8 t( B& ^; W5 {Density of data points, 数据点的密度2 e" v( S; y' h: F. V
Dependent variable, 应变量/依变量/因变量
: R/ S! A4 L' C* u2 e- XDependent variable, 因变量( f4 c) q, G4 q, E) b( e
Depth, 深度, f! n% q, B+ M& b' k
Derivative matrix, 导数矩阵2 Q! {9 I F9 o6 ^# a/ Z+ u
Derivative-free methods, 无导数方法
: j7 t8 `) e7 K! uDesign, 设计
- t% e; v6 u; P; g% @5 ^# d' M# kDeterminacy, 确定性" W5 p. p' ?) i% _ n4 o7 I. U
Determinant, 行列式% B, n1 W5 ]3 S' j. @' Q4 L# x
Determinant, 决定因素
7 ~, s2 \" ]0 t/ t8 ADeviation, 离差
; b! D' D5 e& _( t; dDeviation from average, 离均差
1 v9 V4 {& J: a# m+ B5 `Diagnostic plot, 诊断图
, @# J% H+ X' b1 o* B7 w6 s, F5 q" s; ?Dichotomous variable, 二分变量2 f& b0 F9 D2 v" q+ h1 ]
Differential equation, 微分方程
. Y2 f. O& c4 Z) n) xDirect standardization, 直接标准化法8 x. Y3 z" e$ U I
Discrete variable, 离散型变量* x; ~' Q. y, B t' e% _
DISCRIMINANT, 判断
! w9 j0 S2 T3 j# A5 d, yDiscriminant analysis, 判别分析/ Y8 ^% H8 P( _( |* I# `$ I
Discriminant coefficient, 判别系数
, \# ^1 |3 O# ?2 B7 Y. DDiscriminant function, 判别值
0 `$ D7 q' H1 r* \7 ~, `6 R% E: ]Dispersion, 散布/分散度
$ l4 v2 x5 k! }9 C& q; _& bDisproportional, 不成比例的8 N6 x6 i$ ~. x5 ~6 ~9 { l( W' [
Disproportionate sub-class numbers, 不成比例次级组含量& T+ P, K* o/ ? D u/ o/ Q
Distribution free, 分布无关性/免分布
6 T/ S; D' c$ iDistribution shape, 分布形状
6 c) Q4 M9 \: H( _& {6 TDistribution-free method, 任意分布法
$ C( R& z' g+ `' ?9 lDistributive laws, 分配律! t0 K9 S) g( H1 j' U; \7 \
Disturbance, 随机扰动项
; S( `" \" U8 |( P0 \2 G- QDose response curve, 剂量反应曲线5 l4 X B7 H. R. O
Double blind method, 双盲法
- m; ^# c* _7 `1 j/ i7 |0 Q( DDouble blind trial, 双盲试验
- c, `0 `8 b0 J5 dDouble exponential distribution, 双指数分布* e* r/ d2 v% U! p0 m/ A, \
Double logarithmic, 双对数! L9 H& ?7 {6 f9 A4 ?0 E
Downward rank, 降秩
+ t7 s8 ]7 L+ Q3 N' E: xDual-space plot, 对偶空间图7 \4 p- L$ h k
DUD, 无导数方法
' s" v( ?1 [6 @; aDuncan's new multiple range method, 新复极差法/Duncan新法( O5 T! H0 G" S1 X+ b
Effect, 实验效应' l& ?5 e4 F& T7 L
Eigenvalue, 特征值4 L; Z" G, R0 H
Eigenvector, 特征向量
: Y( f' {( j( j$ F3 Y5 D" K oEllipse, 椭圆
1 h5 }5 u G) u" a) sEmpirical distribution, 经验分布7 M5 U. T7 ?; a5 E7 Q; N
Empirical probability, 经验概率单位
5 ~* ]( c/ f C2 T7 [9 IEnumeration data, 计数资料
1 b3 T( J" w: D3 LEqual sun-class number, 相等次级组含量
, |: ^% Q8 g# k. c3 ~Equally likely, 等可能
# x: j2 Y/ @2 ~( o* \Equivariance, 同变性 q" K. w7 s6 ?( T) q, T
Error, 误差/错误
: E5 r: {. b/ I% }' S8 V& \ [" xError of estimate, 估计误差* C* Z. L# j- b; i
Error type I, 第一类错误
: c5 [7 b" t2 j, U9 gError type II, 第二类错误
" w& L5 O- ^1 E8 WEstimand, 被估量% Y7 G' d9 B' N" [* g, k
Estimated error mean squares, 估计误差均方
* @! x; J, ?6 R" H- P- q1 H% Z3 QEstimated error sum of squares, 估计误差平方和
2 G1 v3 w) Y7 C* ?1 N7 G% O7 u# ZEuclidean distance, 欧式距离
( q6 v% i' d; G" x6 e9 DEvent, 事件
+ q1 V/ f8 t" |5 o; t, G% e( R2 i; UEvent, 事件0 @( Q7 l% y) `7 `7 B
Exceptional data point, 异常数据点
0 X6 Q. ]) B1 E" J) i5 w: Z- j3 sExpectation plane, 期望平面
3 p2 H# D- e3 V9 CExpectation surface, 期望曲面
' y6 n4 D9 E5 _( P2 g* W# X- K* F+ vExpected values, 期望值
+ ?0 w1 a/ q" G- zExperiment, 实验( m# w/ ?- E% Q5 |3 O+ t5 J. x
Experimental sampling, 试验抽样9 e7 Y) r1 |3 \6 a% v1 j, y
Experimental unit, 试验单位2 l) p- d. @0 o& c
Explanatory variable, 说明变量
$ S4 X( e5 y& {- s5 P' UExploratory data analysis, 探索性数据分析0 K; @( Q5 |' b" y8 B
Explore Summarize, 探索-摘要( `6 ] |& x+ L7 b2 z. K$ q! |
Exponential curve, 指数曲线; X( n. ]% ^/ ^3 v4 U
Exponential growth, 指数式增长
$ c8 M/ Z0 G- S" r7 WEXSMOOTH, 指数平滑方法
% b5 j3 d- I/ V6 l3 oExtended fit, 扩充拟合; N; E; F" m$ F7 S, x: _7 Z
Extra parameter, 附加参数
3 f5 F( ~+ U0 I: U6 S$ YExtrapolation, 外推法
% [$ G k7 h( TExtreme observation, 末端观测值
3 b7 j; ~7 x; i5 zExtremes, 极端值/极值
3 A1 u5 m/ { pF distribution, F分布
, \' S: i6 H2 j. ] b& f( A% [. ?F test, F检验0 _5 R2 j& Q& u4 b i& n
Factor, 因素/因子 w# L( L7 r* e* r
Factor analysis, 因子分析1 C- e k4 B# G' {. h1 ^
Factor Analysis, 因子分析# M& R M- {$ i
Factor score, 因子得分
, Z+ E3 i; C: z! _: WFactorial, 阶乘
5 ~ C6 q8 o$ x7 C' m# r1 |8 l/ oFactorial design, 析因试验设计
$ }* ?: b. g( B6 |' r6 Z/ [False negative, 假阴性
' p% r6 r! O' w! m$ z- o% f1 AFalse negative error, 假阴性错误
% Z: v# e0 `2 S$ o! ^8 A0 E8 JFamily of distributions, 分布族
9 Y8 \) R7 l8 N8 }+ _, t$ u1 wFamily of estimators, 估计量族- K! M8 @, L7 t$ @) M
Fanning, 扇面
( }0 N% m8 |! L$ h. FFatality rate, 病死率* W7 K# {8 _; U) U
Field investigation, 现场调查
, u* Q/ C* v2 H$ _- x- XField survey, 现场调查" I; ~5 F1 Y- O; V
Finite population, 有限总体
) V! L7 Y$ @1 }( {, WFinite-sample, 有限样本
. z% h# [7 {3 p6 ^First derivative, 一阶导数' f6 t9 l9 Q# x2 { x4 [' o0 z/ V
First principal component, 第一主成分
% l, |0 ?! p* }# @2 PFirst quartile, 第一四分位数
2 R$ d' N4 K& r! l2 f4 fFisher information, 费雪信息量) v6 f' l7 G2 j2 W
Fitted value, 拟合值* S, C6 D$ c- Z0 Y# H: k& S7 }
Fitting a curve, 曲线拟合
# [- h' }: O, UFixed base, 定基
' i9 z* X0 Q6 G$ H/ UFluctuation, 随机起伏' {# @& c0 @- c- V
Forecast, 预测% O! R1 y, c+ e& K1 h5 R5 D* J7 m
Four fold table, 四格表5 |. v9 E# ~% a" n# Y: J i1 K3 G
Fourth, 四分点 V0 M! a' ?& _ C9 N
Fraction blow, 左侧比率
2 a$ T4 A4 y0 Y2 W8 O8 q% DFractional error, 相对误差
+ e! x/ a% k6 ~% M9 M6 Y8 A6 ]0 J; t. oFrequency, 频率" d3 Y9 k2 p; O: s* d
Frequency polygon, 频数多边图& q! _# _* p4 ]" @, {* I4 |
Frontier point, 界限点
) L7 E3 t: o4 \ H7 m! D6 aFunction relationship, 泛函关系
, [1 q% Q( C1 }( z7 WGamma distribution, 伽玛分布
3 H4 y" @! v; oGauss increment, 高斯增量
3 {: \. R9 A: N+ h" JGaussian distribution, 高斯分布/正态分布0 Q, S) {0 Y/ d7 @' t5 d, H) J! Y
Gauss-Newton increment, 高斯-牛顿增量
4 h |" Y% w1 B4 S; C. {" a# {. W; VGeneral census, 全面普查
: |8 f; w: r, g8 @2 \GENLOG (Generalized liner models), 广义线性模型 ! N2 V# |- g1 l% }; A
Geometric mean, 几何平均数
. P I! ?; q- F; w' ^, MGini's mean difference, 基尼均差
; r( y& S5 c0 v# `8 C5 RGLM (General liner models), 一般线性模型
; u6 q/ h& @' \6 @; dGoodness of fit, 拟和优度/配合度/ C Y+ {9 i5 k) _0 v* _5 H' o
Gradient of determinant, 行列式的梯度- W' }$ M6 v6 y' B
Graeco-Latin square, 希腊拉丁方0 O9 E- r* x9 }5 M7 J0 M
Grand mean, 总均值
( s! a* r; f j# B y( JGross errors, 重大错误
6 X) |9 a3 H1 ?' L0 c" `/ {Gross-error sensitivity, 大错敏感度0 C: J1 P! E3 f2 j- I" F
Group averages, 分组平均# ] u) N& [. O. b
Grouped data, 分组资料' S) m$ q( {/ o9 Q
Guessed mean, 假定平均数2 V+ L/ M0 C0 V/ R1 R+ ~( D X
Half-life, 半衰期 D, }6 K0 t1 f9 P1 m8 O1 e7 [ g
Hampel M-estimators, 汉佩尔M估计量" f4 D. O7 K- q; b$ V- G7 \
Happenstance, 偶然事件
* z0 ~1 l2 A E. a# CHarmonic mean, 调和均数! P1 o D- t7 G+ Y1 i
Hazard function, 风险均数
3 {. v% {/ @% mHazard rate, 风险率0 c2 R [! e# y4 u/ h
Heading, 标目
# m: `/ c' p- V2 u. v- E! NHeavy-tailed distribution, 重尾分布
) N2 W* o( Q4 L/ C! l, k2 iHessian array, 海森立体阵# B8 r7 }) ~$ u2 D8 ?; g
Heterogeneity, 不同质) [. A% F4 K6 I% q3 b+ d( {8 ^1 M
Heterogeneity of variance, 方差不齐 : T5 Q- z1 F# A# j
Hierarchical classification, 组内分组5 p. c% U! S* L
Hierarchical clustering method, 系统聚类法
. N2 F0 y' T' q+ A8 s0 k' e+ \0 oHigh-leverage point, 高杠杆率点
3 J: F6 ^. m5 d! q+ y* {' T. g5 |HILOGLINEAR, 多维列联表的层次对数线性模型( n& i4 j/ p. ?
Hinge, 折叶点
# k# D- V, X% T- {' O }Histogram, 直方图' u- F T; I7 S; Y3 }7 c
Historical cohort study, 历史性队列研究
# Z+ m& o- N1 E" Y5 Z$ f9 t* m! ~Holes, 空洞+ h5 Y2 f" X/ l0 k" o. ?4 S7 t
HOMALS, 多重响应分析# _' Z- N3 D+ x" f; W5 n
Homogeneity of variance, 方差齐性& [: ^, P* D l% C7 B
Homogeneity test, 齐性检验/ u& w% z j% r2 ?8 M
Huber M-estimators, 休伯M估计量/ s$ q" f# G2 X' J) z
Hyperbola, 双曲线; q: ], Y8 r. s. e) o8 ]0 s
Hypothesis testing, 假设检验
* G" j+ r4 u2 \! NHypothetical universe, 假设总体4 G, [/ }2 V( v: Y2 a4 t
Impossible event, 不可能事件
# S# J" m/ m7 _; k+ q+ T1 YIndependence, 独立性* x2 X. `& f* t: N! R& a
Independent variable, 自变量% M6 D# q6 Z6 {" e" o; U5 O
Index, 指标/指数- g/ b& U4 |: @ H* q/ L7 l y
Indirect standardization, 间接标准化法
/ A" j3 _$ y# r- L" ~Individual, 个体0 C# e2 w9 t+ S, f5 T/ i5 X, j
Inference band, 推断带
6 Z! p7 a8 g. x; s6 fInfinite population, 无限总体
5 @4 h( W9 A2 d7 Q& h5 tInfinitely great, 无穷大8 B! k( W3 I7 M( T# O) U
Infinitely small, 无穷小
+ \6 B5 z! J8 t* @Influence curve, 影响曲线
# u/ Y# z& E6 _0 I( |4 |& ]Information capacity, 信息容量5 d L$ J# H* `8 D L, i; n: G/ w
Initial condition, 初始条件
) I, l% w5 O& I% w/ U5 vInitial estimate, 初始估计值8 u; z' J! f" |+ E, L& m1 Z0 L
Initial level, 最初水平
* p: q* T2 i( _# EInteraction, 交互作用
- t& q0 j" G. d3 ~( s4 b- `$ BInteraction terms, 交互作用项
, v; T9 \: ^# z: |: o$ TIntercept, 截距& R7 }7 B% W0 g
Interpolation, 内插法! ^" D7 Z# S8 n, S' a
Interquartile range, 四分位距
! H7 U( u5 ?: l+ u: UInterval estimation, 区间估计+ Q( M; o9 a& l# D9 ~6 |
Intervals of equal probability, 等概率区间 ?/ G2 o; {, `9 [* O
Intrinsic curvature, 固有曲率7 d6 q4 N. E4 l6 }# E
Invariance, 不变性
% e1 f" l3 N, J3 C! CInverse matrix, 逆矩阵' _2 F+ F' e! @9 u' y5 I
Inverse probability, 逆概率
" X2 M+ y% B+ S+ x, Z* E& yInverse sine transformation, 反正弦变换
2 `$ s- A) j! U$ X3 wIteration, 迭代
, J- r6 Z* E& T; k3 G8 PJacobian determinant, 雅可比行列式6 s& x3 F$ B6 Z0 z5 ^/ a
Joint distribution function, 分布函数
0 L' h4 X9 V# V2 A$ ^3 YJoint probability, 联合概率" t5 t) G7 J7 c9 i: s
Joint probability distribution, 联合概率分布
8 p- N9 i5 z" W. kK means method, 逐步聚类法( f! o9 }! ]9 ?4 u5 q0 i% e4 K
Kaplan-Meier, 评估事件的时间长度 ' v O; {, f" [& N" N/ p+ G
Kaplan-Merier chart, Kaplan-Merier图
4 P& d, H( b' i4 ^Kendall's rank correlation, Kendall等级相关
3 t1 A7 a: b+ U* ^Kinetic, 动力学
) {+ w2 B- ]4 X- I" ]" w. u2 HKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验7 n. T) j/ S l. G9 H' n
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
`& F. x- F3 ]Kurtosis, 峰度" e) P2 r0 a! `/ S! {
Lack of fit, 失拟# `. ~) J! \% J$ }
Ladder of powers, 幂阶梯% d! n& }" I; g8 W1 [/ @ \0 y
Lag, 滞后* h& c) y4 u1 H3 O# \5 i
Large sample, 大样本
+ i0 f; z& L, O+ T% _, f1 \ zLarge sample test, 大样本检验
9 u3 g* R% z5 l9 WLatin square, 拉丁方& K8 `. R+ G/ E( c4 M5 C- b) I
Latin square design, 拉丁方设计# ?, J2 m6 t% X. N- m" y- Y3 b
Leakage, 泄漏
) B+ r" c, I. f" z3 u5 CLeast favorable configuration, 最不利构形: l+ W. d% h# `# D
Least favorable distribution, 最不利分布/ V/ V7 [6 l& B$ o! E: o$ \+ `
Least significant difference, 最小显著差法
! h, p N: k9 m) Y( N7 j; TLeast square method, 最小二乘法
% W' N; r7 W6 H5 \6 h1 GLeast-absolute-residuals estimates, 最小绝对残差估计; ]9 {+ e9 {' W! r9 _. i
Least-absolute-residuals fit, 最小绝对残差拟合 N7 e/ j: S# P5 U0 M- {
Least-absolute-residuals line, 最小绝对残差线
: Q! Y, `, H' [0 {- yLegend, 图例
# J+ ?; H/ m* BL-estimator, L估计量
7 D9 u+ F, X8 U" ]/ OL-estimator of location, 位置L估计量
8 Z( ~6 W6 C x: L2 M/ b: c: C* yL-estimator of scale, 尺度L估计量8 ]6 W2 P9 W1 Q. P2 M9 i
Level, 水平+ N% c+ }) T2 l% c6 W
Life expectance, 预期期望寿命
' b$ m- G2 h! ~: ~6 V, p( Y$ L; M$ ?Life table, 寿命表# m$ ?2 D4 U) v5 ]# L
Life table method, 生命表法
) g: z2 k7 i2 n- oLight-tailed distribution, 轻尾分布
0 @( R- F8 ]% sLikelihood function, 似然函数
( X; V; Z9 H( J+ }# a' N: [6 jLikelihood ratio, 似然比
; j2 O" b: R5 Zline graph, 线图
( ^5 \' K' r; D$ v8 iLinear correlation, 直线相关, u; d: m. n! N: r9 h
Linear equation, 线性方程
' T$ ]% i$ G- O* D3 o# _Linear programming, 线性规划
, p3 W) q1 q: q fLinear regression, 直线回归2 Y& [- _6 ~+ K' X i/ a
Linear Regression, 线性回归+ G: m6 ?& w7 F! I8 ^. T0 E
Linear trend, 线性趋势- r1 }0 |" t, k# t0 U- f
Loading, 载荷 ; n" e. K8 F5 g8 O7 X0 U, f
Location and scale equivariance, 位置尺度同变性7 H) @" o- G4 @
Location equivariance, 位置同变性5 ~7 E4 i, e! _' q) Y% i- Z
Location invariance, 位置不变性0 |; `( O3 ]' W. U, ?2 a" i% _
Location scale family, 位置尺度族
! F3 d8 ^% y/ [+ ^" o" A/ z3 iLog rank test, 时序检验 & C6 y; h* O2 w
Logarithmic curve, 对数曲线
0 q/ f1 v9 O* T( k, j4 j8 P7 fLogarithmic normal distribution, 对数正态分布
# U- M2 ^6 j* L. s F/ T* nLogarithmic scale, 对数尺度
$ o% L; F4 d) ?: HLogarithmic transformation, 对数变换
" x; }% n! E$ H9 Q' jLogic check, 逻辑检查9 }1 q& v: x/ I4 c3 Z$ l
Logistic distribution, 逻辑斯特分布0 ]! v/ V) g' b4 a2 B
Logit transformation, Logit转换
' v# F- a0 G' X, ~: n: BLOGLINEAR, 多维列联表通用模型
) R& m2 r6 p" ]1 o6 pLognormal distribution, 对数正态分布
# h" j3 w2 h2 [) b% {! FLost function, 损失函数% C: A% ?" J* Q' o, Q( p+ B
Low correlation, 低度相关
8 d5 k& n6 ~8 z4 B0 M2 OLower limit, 下限/ l* O; q0 G! u# B3 z
Lowest-attained variance, 最小可达方差
' d& |3 D7 ?, F1 D6 w" }( ZLSD, 最小显著差法的简称- {2 I; @$ ^* `
Lurking variable, 潜在变量
5 f# \* O/ u6 t+ uMain effect, 主效应 K5 G0 @# N% u4 J
Major heading, 主辞标目4 c7 l& ~# z/ C9 W
Marginal density function, 边缘密度函数. ^4 L# g# K4 `) ~0 Y
Marginal probability, 边缘概率; J. K- K, y! z( H l6 ^
Marginal probability distribution, 边缘概率分布( W; F X! T" C. L, C
Matched data, 配对资料, Z' T& u- {( k! J
Matched distribution, 匹配过分布8 b6 E% [5 ^! `6 s r W
Matching of distribution, 分布的匹配8 T" V' z) G% O* A
Matching of transformation, 变换的匹配
@+ y+ d' d' x3 q. cMathematical expectation, 数学期望' U8 ?9 t! [6 x, J% |5 e/ t6 \. d
Mathematical model, 数学模型
" P4 C" A- e1 k! F _! @& Z" JMaximum L-estimator, 极大极小L 估计量
# ?5 m8 w+ ?( ~* ^Maximum likelihood method, 最大似然法
6 ~3 {/ _1 `8 y$ D" p/ ]Mean, 均数
& D' ~* B3 V; t* }2 `7 _- ZMean squares between groups, 组间均方
* ]6 i. Z4 ]3 f& ^4 j; W$ iMean squares within group, 组内均方
' ] Z8 D; ^' I0 |9 w1 N# HMeans (Compare means), 均值-均值比较( q5 x2 E$ ]2 X1 x4 }3 O. `
Median, 中位数) w' `7 q. i8 l6 ~" I6 Z, ^
Median effective dose, 半数效量
" Z; ]' e2 z, Z8 AMedian lethal dose, 半数致死量
- y/ ]. Y* g: Z3 t7 {; JMedian polish, 中位数平滑7 q' A1 G2 j; e; [
Median test, 中位数检验* i8 t1 `5 s% y( v
Minimal sufficient statistic, 最小充分统计量
. x4 D/ b# e6 Z% uMinimum distance estimation, 最小距离估计" U1 D! O0 G0 j0 O4 A
Minimum effective dose, 最小有效量
# O6 ~) V t1 U, kMinimum lethal dose, 最小致死量
3 f: b1 k6 E) z, n7 N5 _Minimum variance estimator, 最小方差估计量
" R# X+ c+ E, n# fMINITAB, 统计软件包8 F( U* d/ u2 C7 Z( S8 }# v
Minor heading, 宾词标目
& c6 I+ ]- Q7 kMissing data, 缺失值
$ }; Q. P# I3 F/ Y' nModel specification, 模型的确定
: |" o8 }# d% ?) ?- m7 aModeling Statistics , 模型统计
; A+ D$ q% p* N3 X) p" ZModels for outliers, 离群值模型
4 B1 W. ^ h9 g7 [Modifying the model, 模型的修正% D( q& r0 F- U" X9 f( f
Modulus of continuity, 连续性模
. K/ B9 }& U* s7 {5 jMorbidity, 发病率
/ S, M$ B M! @$ x+ k/ WMost favorable configuration, 最有利构形
) K' b' A2 u* WMultidimensional Scaling (ASCAL), 多维尺度/多维标度
* {5 N5 |4 Q; k4 W) W- |. t, Y# [5 lMultinomial Logistic Regression , 多项逻辑斯蒂回归2 c3 N9 K, T# X+ X
Multiple comparison, 多重比较
- @# Q. [+ c1 _% [: [7 i8 kMultiple correlation , 复相关# X" ~8 Q5 U) ^, w. x
Multiple covariance, 多元协方差
j3 f$ d8 N' X: z MMultiple linear regression, 多元线性回归
+ u! g6 S. t i4 z3 HMultiple response , 多重选项6 D& L" u/ `: s% e% S
Multiple solutions, 多解. `4 |2 z6 ?+ x9 Z6 R- j
Multiplication theorem, 乘法定理
5 U- Q% R7 ]% A1 mMultiresponse, 多元响应
' w( a# V& D, [/ o! `) d" a; CMulti-stage sampling, 多阶段抽样
0 l/ C6 ^: `. q g& C) F C7 BMultivariate T distribution, 多元T分布
) f+ a$ E1 B, q/ _Mutual exclusive, 互不相容- }- m6 @1 \3 ^" Q7 ]3 F6 v
Mutual independence, 互相独立
2 w! |+ Z- G8 Y6 ~/ z7 BNatural boundary, 自然边界
; t, [7 K- b! `$ f& P& jNatural dead, 自然死亡- y/ U% P/ t6 K. s' Z# M5 z3 P0 T% ~
Natural zero, 自然零8 Y' ]( p! @ Y! ^# H
Negative correlation, 负相关
. n6 R# v3 Q7 V! u0 YNegative linear correlation, 负线性相关 `$ x1 H; F- B2 ~' z5 F6 y+ S
Negatively skewed, 负偏! ^& {5 F/ u4 }) d$ E. W1 J
Newman-Keuls method, q检验; K* _( l& ^3 j o, O
NK method, q检验
, Z7 d% H. W. r) W0 f; B BNo statistical significance, 无统计意义
8 K# w0 v, u3 i2 `: z, e9 W+ DNominal variable, 名义变量
2 f+ m# f4 Y7 {9 MNonconstancy of variability, 变异的非定常性
& F, i Y* l; E+ \' xNonlinear regression, 非线性相关
; z j$ _' e7 C) u* zNonparametric statistics, 非参数统计
0 v2 F4 U; |1 C- L) X0 O* lNonparametric test, 非参数检验
# U+ B, ^, {: N" n5 e& _Nonparametric tests, 非参数检验
- u8 Y: f2 D+ _/ R1 Q( |Normal deviate, 正态离差9 ?$ H* \4 A% P0 X A- B: `) l
Normal distribution, 正态分布2 ^: E3 Y4 _+ K9 X9 d' c
Normal equation, 正规方程组
/ \7 [# I+ [$ r( [7 MNormal ranges, 正常范围! t/ k0 L( l4 a# l
Normal value, 正常值5 Z2 n1 I j$ x% z8 @5 C
Nuisance parameter, 多余参数/讨厌参数$ D) A9 m( r0 n5 ^! w
Null hypothesis, 无效假设 9 Y! P! }3 c" y. |
Numerical variable, 数值变量
/ A# h. l! ^2 eObjective function, 目标函数
: G. ]7 N- l# CObservation unit, 观察单位
: Q- ~, ^3 y+ S' ^" {% ~$ E LObserved value, 观察值
/ Y* G% y* ^! a9 O {One sided test, 单侧检验
E, N% j$ a9 h# M1 |" QOne-way analysis of variance, 单因素方差分析9 H( `4 r' b' W5 `; i& z, r
Oneway ANOVA , 单因素方差分析 `8 b: C/ ^# X$ M6 g
Open sequential trial, 开放型序贯设计" N, J5 C2 d2 s4 v- P
Optrim, 优切尾) c. m/ O% n$ |% C( [: u
Optrim efficiency, 优切尾效率: f+ _7 b. w R8 e, R+ t; a' D
Order statistics, 顺序统计量( E. _/ b" ~$ ?& A' I
Ordered categories, 有序分类6 Z! U1 q7 m7 G6 Q9 b3 i/ R
Ordinal logistic regression , 序数逻辑斯蒂回归9 l/ ?1 R+ M' \+ C A% `6 m
Ordinal variable, 有序变量$ H5 F, l) W. d- B# v
Orthogonal basis, 正交基" ^- I3 J1 e, A
Orthogonal design, 正交试验设计( A" L! t# O/ [$ D
Orthogonality conditions, 正交条件
5 C& M' W( Y; l2 ?/ eORTHOPLAN, 正交设计
. T4 m- F" U' X! e! POutlier cutoffs, 离群值截断点) q/ X/ D2 u- B0 J; n( v4 B
Outliers, 极端值/ v9 K/ \4 l: h' i/ E) L
OVERALS , 多组变量的非线性正规相关
/ M* ^2 P# M, ~! n& z* [# FOvershoot, 迭代过度) l9 k9 F4 p% i+ k. L
Paired design, 配对设计
; ~1 `' _6 F4 ]+ @8 SPaired sample, 配对样本9 N. C7 ^3 c! C# S+ P
Pairwise slopes, 成对斜率
* Z! u, [- |) N m; R5 U- G% zParabola, 抛物线
+ A8 i* ]$ e. [2 T/ aParallel tests, 平行试验6 C/ W5 x3 t+ `1 i) @
Parameter, 参数
+ ~7 R$ V5 |" b" \Parametric statistics, 参数统计, _) v4 _1 c" i5 U: j8 A
Parametric test, 参数检验& h: L7 i( t1 I% S) z4 W2 e
Partial correlation, 偏相关
- Y3 `" [. @3 S* e' ^Partial regression, 偏回归
! c, q4 r( d E6 t# r" U1 }! {, W# ~Partial sorting, 偏排序& |; I& Z: g' O- Y3 L* w6 S
Partials residuals, 偏残差
- L w) B" ?4 G( Z1 mPattern, 模式$ J3 |+ }+ n' f7 v
Pearson curves, 皮尔逊曲线
; i2 I; v, B6 q. iPeeling, 退层
9 s6 j1 b, H Z3 e/ y* oPercent bar graph, 百分条形图. ?, m( j0 f: [7 @0 B3 ^
Percentage, 百分比
. ^+ \$ v' u' C$ {. ~+ y3 x( [: XPercentile, 百分位数
5 ^* B3 ~5 c, `' d$ GPercentile curves, 百分位曲线* B" n8 ^: p m0 Z$ T9 s$ Q
Periodicity, 周期性
* U h' C5 v8 w6 t8 dPermutation, 排列6 ?: h) Y: l9 d1 ^% h# j
P-estimator, P估计量0 @, }0 M! O5 h p
Pie graph, 饼图
, F2 z e' g: g9 ?) Z3 Y4 y1 n5 A' {Pitman estimator, 皮特曼估计量' Q, D& [6 t G# r1 F/ Q5 z
Pivot, 枢轴量
! `+ |# M' q' wPlanar, 平坦9 Y1 b! m- I/ S# y3 d
Planar assumption, 平面的假设
0 ?' k( }- z+ p5 LPLANCARDS, 生成试验的计划卡. `2 k& b; F& D9 B% b0 ?
Point estimation, 点估计
2 A% m7 n6 o9 I6 jPoisson distribution, 泊松分布
# G. Z O6 |& R3 s, K; fPolishing, 平滑3 D4 ?$ |8 Y) P3 y3 n4 @
Polled standard deviation, 合并标准差- A! K- r4 o, l( ?3 o2 X- [) [
Polled variance, 合并方差$ [/ Z1 S* e) I1 U% u' G6 j9 y
Polygon, 多边图 S) }, [0 p( @& I" t/ Z
Polynomial, 多项式
/ X2 h' ]" h, ] i7 F# F( DPolynomial curve, 多项式曲线
* _$ W. }7 l! T* q$ F. N' tPopulation, 总体
8 c X" E8 @+ ^& P" c; s# ^! _( xPopulation attributable risk, 人群归因危险度4 _+ Z& N9 K8 n9 V H" ]$ I
Positive correlation, 正相关1 I( Z/ _! d: G
Positively skewed, 正偏
6 `* R- E9 b4 f: dPosterior distribution, 后验分布
& }8 ^- V5 k" J" ^% \1 g: N) yPower of a test, 检验效能
' Q% `# j0 ?$ y, s) APrecision, 精密度
3 R) h% ~, j5 V" t5 l* x) wPredicted value, 预测值
% J: b& j* O' `' SPreliminary analysis, 预备性分析
1 P7 ?& t8 t# s$ L: ?( {Principal component analysis, 主成分分析$ T& l7 `6 ?) T$ F) z6 `3 H. P S
Prior distribution, 先验分布
, K7 U8 v4 S: \% ZPrior probability, 先验概率6 x C4 b% h' d" {7 ?0 k8 S, Q
Probabilistic model, 概率模型- U& |# r5 ]5 h) W( V$ e
probability, 概率+ P8 V0 F& k; _2 \* ~ n3 e
Probability density, 概率密度" Y% A; N. O; H
Product moment, 乘积矩/协方差5 W s! P& i; G; c7 Y2 B' A
Profile trace, 截面迹图
/ y$ r) a( c5 N$ kProportion, 比/构成比& p1 l; A/ c/ d; Y: ]; |6 J2 O
Proportion allocation in stratified random sampling, 按比例分层随机抽样3 D/ e& V; j% Z
Proportionate, 成比例
. y# ~# @' X1 K, @Proportionate sub-class numbers, 成比例次级组含量
. M5 U+ f* L' k1 D7 o1 _2 _& h4 OProspective study, 前瞻性调查
# L- D0 g( m! W7 s6 {* P# gProximities, 亲近性
) ~) J& X0 ^4 g. y) W, SPseudo F test, 近似F检验
! E! k/ H; g$ \( D; x- _8 M% lPseudo model, 近似模型0 i: x/ N) X: B, z
Pseudosigma, 伪标准差
! m- i& b/ @5 o( x# uPurposive sampling, 有目的抽样
) ^% |3 y( L2 E0 ~' Y6 Y& TQR decomposition, QR分解
$ l( W3 s% e, j" V; ` UQuadratic approximation, 二次近似1 }0 D4 i- L, b0 |, ?3 R) B. I ~7 b
Qualitative classification, 属性分类+ L- y Y+ G! c- [* n3 v a
Qualitative method, 定性方法
, v; i+ s3 Y9 Z- }- b7 \ o7 m" b: DQuantile-quantile plot, 分位数-分位数图/Q-Q图6 o5 S6 t, c, B4 \ o' ~
Quantitative analysis, 定量分析3 w- A# [% \9 V# K# a% [
Quartile, 四分位数
0 f2 J2 F- L& x) LQuick Cluster, 快速聚类* t& n" `2 v. U* f! I
Radix sort, 基数排序
v2 i9 r* q5 sRandom allocation, 随机化分组& N6 F4 K7 [2 D9 P% s
Random blocks design, 随机区组设计6 ~! G. A8 G% L6 ^* H* k/ _- |
Random event, 随机事件3 ^9 [4 D+ a% j7 s; c$ j
Randomization, 随机化( h g( T9 H h. S
Range, 极差/全距" D9 `- N3 m$ c/ P4 @
Rank correlation, 等级相关
# V F' R. P% F- m" H2 VRank sum test, 秩和检验
( G' U; O' g9 L; @) hRank test, 秩检验! k9 ?4 u4 |$ s+ @# {8 j
Ranked data, 等级资料
4 R$ u4 @) C0 S+ Z9 H4 X4 ^' _Rate, 比率
! s" F( q) ` D1 S0 }& _Ratio, 比例; o0 O( C" t/ s3 x
Raw data, 原始资料! T0 ]0 o* A& y+ E0 Q! X. r
Raw residual, 原始残差
6 P) Y7 X% s, {& Y, N- W( R! ~4 IRayleigh's test, 雷氏检验
: Z. f5 t9 e! v! ]4 k/ URayleigh's Z, 雷氏Z值
/ k8 D: k: ?; z, T! k OReciprocal, 倒数
+ k" j5 X1 n Q4 fReciprocal transformation, 倒数变换7 n$ ]( V0 q" ?
Recording, 记录 S. @9 X# U2 X" D- p$ S/ Z6 v
Redescending estimators, 回降估计量
% Z1 V% j7 i* \) |: u: BReducing dimensions, 降维
7 j2 ]! x7 g4 J% [* J# k# R R+ ]Re-expression, 重新表达6 R `0 Y; }& P# G9 r: o
Reference set, 标准组
4 i: {" ^; k6 n7 @ V. mRegion of acceptance, 接受域$ o( e: u1 R6 S2 J
Regression coefficient, 回归系数3 H" N: p1 _8 V1 R
Regression sum of square, 回归平方和& y$ U5 G. Q' S
Rejection point, 拒绝点
+ M3 `, V6 o8 P+ l X9 s: rRelative dispersion, 相对离散度4 {- a4 A5 W* P) A* {
Relative number, 相对数
2 e( c6 c! w8 k+ OReliability, 可靠性
* C- E3 F2 X8 n$ kReparametrization, 重新设置参数) |: d' [) A3 A7 G
Replication, 重复
! h+ V( q/ U. y; ZReport Summaries, 报告摘要
8 g$ i- R, y7 [1 H' W. UResidual sum of square, 剩余平方和8 z6 Z7 z; V- K: L! g
Resistance, 耐抗性
. C. ^6 s H/ X# q. p1 |! }5 c4 YResistant line, 耐抗线
' ~5 S6 X4 o$ N, T4 qResistant technique, 耐抗技术
' q0 a, V# m# n! E" C3 n9 vR-estimator of location, 位置R估计量: e% _, U! a8 r+ K8 r
R-estimator of scale, 尺度R估计量
4 [8 t v, s! N/ k0 e8 bRetrospective study, 回顾性调查
7 c/ T; J. C; B& v5 bRidge trace, 岭迹
% ~* u. C3 X; `7 H4 sRidit analysis, Ridit分析( K" Q; w3 m3 k8 d7 T1 V0 _
Rotation, 旋转
1 X4 D0 M$ j6 H3 JRounding, 舍入
9 R% V" q, J0 L9 W$ d6 _+ Y& iRow, 行
3 v& f" r, |3 X7 v4 ^+ `Row effects, 行效应
; n. k8 d$ l8 @4 r3 gRow factor, 行因素6 g' h+ c# K' D( l4 q
RXC table, RXC表/ `$ {" Y: ^2 g
Sample, 样本
; Y8 ^0 U( S9 |4 |1 p, ^6 CSample regression coefficient, 样本回归系数7 s( {/ @8 L/ I3 N# X8 N
Sample size, 样本量
& X) Y+ [! x& u1 V' P) u* _Sample standard deviation, 样本标准差# c3 y3 Z5 e/ o$ v2 ]
Sampling error, 抽样误差
# N7 ]1 c- t$ x9 A7 B( USAS(Statistical analysis system ), SAS统计软件包
. R4 }# |- g9 X( ?Scale, 尺度/量表
Q8 X2 D U, ]/ iScatter diagram, 散点图
% D* H; I# K1 W$ X7 G/ M: fSchematic plot, 示意图/简图7 C1 ]. ~ k- F" o) Z
Score test, 计分检验" @9 e# t M$ v( B! k# P
Screening, 筛检
8 a9 H) j5 {7 a2 `% JSEASON, 季节分析 & ]! d' K: [+ N; R) ]+ {: J
Second derivative, 二阶导数; N# o' s- Y$ D4 m
Second principal component, 第二主成分5 }4 L# B: H( u |
SEM (Structural equation modeling), 结构化方程模型
! u5 x" s& G' @- r1 s: I- @Semi-logarithmic graph, 半对数图
! J9 u% F) _% A0 I! D- D+ [! D H" N3 sSemi-logarithmic paper, 半对数格纸
5 W3 b8 N! @ S* \Sensitivity curve, 敏感度曲线) e/ `) i. X* m0 V, m5 a
Sequential analysis, 贯序分析2 Z$ k' q( v: X; [ L$ K5 z. R
Sequential data set, 顺序数据集8 ^& [6 ?" D3 K( q+ i* h4 D
Sequential design, 贯序设计7 r! n' K6 c& J7 D
Sequential method, 贯序法
6 m- ]4 B% a- c" ZSequential test, 贯序检验法
! j. d. g4 J* J2 z7 l- ?8 C5 @Serial tests, 系列试验
' R5 b; [1 a [Short-cut method, 简捷法 . Q \* o/ b( j* X5 H$ y
Sigmoid curve, S形曲线
3 x0 W* |! G' w7 ^& M- hSign function, 正负号函数, f/ @. |0 ]% y, y& y$ _
Sign test, 符号检验: K2 O# r1 V1 y1 H
Signed rank, 符号秩
/ f {1 g9 b6 v a2 a ^Significance test, 显著性检验4 a# z: }2 y: [/ W' q
Significant figure, 有效数字
) z/ I; x5 i: d& ]( B0 w0 |6 CSimple cluster sampling, 简单整群抽样( H3 Y7 z8 p+ f7 I
Simple correlation, 简单相关
' I4 @/ b7 B3 ]) @4 qSimple random sampling, 简单随机抽样9 G* f+ V" R" H0 q$ u3 }
Simple regression, 简单回归
0 d; c( W3 D5 R9 ?5 _( |. @simple table, 简单表
" J( v" K0 L9 }5 @) J7 A4 L! pSine estimator, 正弦估计量
1 R: @6 L9 @7 R1 ESingle-valued estimate, 单值估计! O+ o# w4 z; F5 \8 s
Singular matrix, 奇异矩阵1 i6 A% ?1 K+ v! H8 C- D; u! O
Skewed distribution, 偏斜分布) U5 p9 _( `+ Y
Skewness, 偏度
1 ^; U! |% p, Y0 Z4 V( f5 TSlash distribution, 斜线分布9 `( a$ o; ^) }& |- H
Slope, 斜率! P0 g0 J+ Q1 D3 T4 Z) s
Smirnov test, 斯米尔诺夫检验; x5 {2 d& g9 R. N4 U0 V
Source of variation, 变异来源% R8 X3 f& O: I
Spearman rank correlation, 斯皮尔曼等级相关
, ?: H7 K/ q% f9 j: @Specific factor, 特殊因子! G! Z% `6 a2 U9 d
Specific factor variance, 特殊因子方差9 P) W" ]2 c% u
Spectra , 频谱' o2 s7 @. g8 U
Spherical distribution, 球型正态分布0 ?# u- ?5 B1 M4 u* i- M; F* F
Spread, 展布" l( M& t! T9 P* _: Y- y. @) a6 ]
SPSS(Statistical package for the social science), SPSS统计软件包) [# f+ v$ y s1 D6 Y! ^3 s0 R! L
Spurious correlation, 假性相关; y/ a: I- N: r: K+ U0 d4 u
Square root transformation, 平方根变换- f- M* Y" P0 [; a. u: C! g
Stabilizing variance, 稳定方差. x' t. [. G9 r* D
Standard deviation, 标准差
" ^" _* z% s/ AStandard error, 标准误* Q4 n/ u1 U0 {# A9 s+ o
Standard error of difference, 差别的标准误
! [* N0 p, H- i( f3 g* p- aStandard error of estimate, 标准估计误差
( j1 R9 o4 U0 RStandard error of rate, 率的标准误; N4 o/ s, f, v T' C8 h4 \
Standard normal distribution, 标准正态分布
9 O: J7 _6 W6 O, }% B" n8 PStandardization, 标准化, r' v7 n0 ?3 j4 @) o
Starting value, 起始值
* |- M4 r) U+ k( g$ M) j4 p; u# ~5 ~Statistic, 统计量1 _5 u {2 N- c6 a' P! q
Statistical control, 统计控制
4 m' {5 P! m/ W% SStatistical graph, 统计图
8 R2 C$ U2 S7 Y' n$ K" W$ @$ d- oStatistical inference, 统计推断
5 i) Q, A% k/ r) [( a7 tStatistical table, 统计表& c! v- J+ v/ v& ]0 [
Steepest descent, 最速下降法7 f: c D7 y) |/ m1 \
Stem and leaf display, 茎叶图
! U& A. k, O4 O6 rStep factor, 步长因子
2 [3 n3 T# K8 Q7 Y. |- ?7 U2 ^! K' |- @Stepwise regression, 逐步回归) p8 @9 Y9 Z6 D+ ~, s
Storage, 存
' C2 e0 P3 h5 M7 dStrata, 层（复数）
: D# ? z# B' LStratified sampling, 分层抽样9 j$ }3 s" A7 `" f
Stratified sampling, 分层抽样
/ e' T+ R6 v2 [+ z6 L( W/ u" gStrength, 强度
( a8 ^9 }- G4 j! kStringency, 严密性$ L1 i5 h8 L. w! z5 e! n8 J
Structural relationship, 结构关系
$ k8 [* }6 }$ X. K# V* ^( j4 f; xStudentized residual, 学生化残差/t化残差0 g% m2 M2 q" z# V, Q" H
Sub-class numbers, 次级组含量
: [# F3 ~. P E+ W$ |Subdividing, 分割
- h) k9 |) j, s0 x9 B1 G) JSufficient statistic, 充分统计量* X8 s: ^* d q3 }* ?: H; O- J! Z
Sum of products, 积和: N, K1 h; h' y/ y/ ?
Sum of squares, 离差平方和
; m( `" T+ n8 F2 O/ \3 BSum of squares about regression, 回归平方和- F. Q+ b, p3 | ~* M
Sum of squares between groups, 组间平方和
( U+ } y0 \5 {* ?: u% @8 |2 jSum of squares of partial regression, 偏回归平方和
3 y: q, ^$ [; u" h; oSure event, 必然事件# N8 Y& C3 X. g0 R1 ~
Survey, 调查
" L% j4 r) V' `, MSurvival, 生存分析
: P% S/ [5 g3 J! jSurvival rate, 生存率
3 {. d2 Z) u1 c$ z; z1 M, E6 f: pSuspended root gram, 悬吊根图: @) h* H5 F4 F4 s3 M
Symmetry, 对称
' P. _% D: m) G7 H* C. OSystematic error, 系统误差
8 A# M, Q7 @6 r- z1 QSystematic sampling, 系统抽样 J3 c- D) c+ r5 c% w j. q
Tags, 标签
2 s: ~- x7 o4 X- pTail area, 尾部面积7 Y! ~9 L+ \0 Z; }. {6 c& `
Tail length, 尾长; b3 S' k+ v8 g }: U
Tail weight, 尾重
* R/ g4 G2 }" ]* V O' r; A% uTangent line, 切线3 _+ l( c d/ e% a
Target distribution, 目标分布
* B$ B4 B$ g* U1 v9 \9 JTaylor series, 泰勒级数
- Q) Z; c- k' g% o3 D/ p- qTendency of dispersion, 离散趋势
/ d& G" l2 R% T7 Y' fTesting of hypotheses, 假设检验
1 s/ e( F% {7 h- Q+ S: A3 ]! mTheoretical frequency, 理论频数
" |; n% y% Z' G; @) XTime series, 时间序列4 {# d$ t! i5 \) O* N2 |
Tolerance interval, 容忍区间, x# N" k5 r4 H
Tolerance lower limit, 容忍下限# _3 K: `6 F1 Y6 e
Tolerance upper limit, 容忍上限
) Y+ r: y# c( {# kTorsion, 扰率 I( M3 o: s, f! ]
Total sum of square, 总平方和8 o* T8 u6 O% G, C
Total variation, 总变异
1 q: |8 i: I& v1 lTransformation, 转换/ o( V7 U( ~& p2 `
Treatment, 处理1 n: @6 P4 c: r; L
Trend, 趋势; k0 G1 H) n' Q4 C0 B7 U
Trend of percentage, 百分比趋势 A. P$ _- z* k9 a
Trial, 试验
l# f, ` A c$ o' }6 VTrial and error method, 试错法/ M( |& I! `7 i$ l" d
Tuning constant, 细调常数
, _ y- Z6 ]# S6 dTwo sided test, 双向检验
. S/ |" H+ p9 aTwo-stage least squares, 二阶最小平方1 x3 _7 b) Q. m; G
Two-stage sampling, 二阶段抽样
: Y4 r( @) `2 M) v& D# rTwo-tailed test, 双侧检验
: j# S5 G! m* h4 s5 {Two-way analysis of variance, 双因素方差分析
4 m9 ]. ?/ r/ ?) kTwo-way table, 双向表! H! A3 x6 j6 {; H
Type I error, 一类错误/α错误
, x/ L6 A- ^( z2 wType II error, 二类错误/β错误
+ H0 T" v8 V# x" w& i1 I) WUMVU, 方差一致最小无偏估计简称/ h1 C* }9 S+ Z2 r4 X6 w
Unbiased estimate, 无偏估计
1 r) h% i5 L- ` ^ D/ ~4 ZUnconstrained nonlinear regression , 无约束非线性回归( N: a3 }; Q/ r6 O) t
Unequal subclass number, 不等次级组含量 C5 B- g& C6 {/ R
Ungrouped data, 不分组资料; y' T2 X) A& `9 Q0 D4 P
Uniform coordinate, 均匀坐标. {$ E9 \: y3 j3 Z1 W4 ]( M
Uniform distribution, 均匀分布9 ]3 `: V' G* R5 O# N. O; {- x0 z
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
2 Z" m- a8 ~# R3 _2 `$ AUnit, 单元
" v5 Q0 L4 F( Y& o- kUnordered categories, 无序分类' s2 S. A3 {7 v0 T% b+ g6 X
Upper limit, 上限1 Y) l" d1 o& c% F, X2 g1 e
Upward rank, 升秩+ V# `. v" p5 L* y1 F2 s) u4 k
Vague concept, 模糊概念% d1 o+ w3 D% ]! c7 S- ^& v" F/ S
Validity, 有效性& D0 G" c4 h( e' s9 i9 x W
VARCOMP (Variance component estimation), 方差元素估计 J) X- d# l* w4 J J7 h0 \
Variability, 变异性
0 |8 m4 d6 r C& x! V9 YVariable, 变量
1 r) f& j& @# l# e6 dVariance, 方差
4 T6 k5 n1 z! tVariation, 变异5 f" X [* K# W
Varimax orthogonal rotation, 方差最大正交旋转
3 v1 o; b* r+ H6 ^Volume of distribution, 容积. B, l6 V4 o( X' M' l" W
W test, W检验
1 _6 g+ ~7 u7 ^! B; e% q- r! {Weibull distribution, 威布尔分布
3 m$ ^6 D- r+ wWeight, 权数1 e9 Q! k8 @2 D# H: x, `' }' z
Weighted Chi-square test, 加权卡方检验/Cochran检验& A1 c. Z! S; T0 m7 `
Weighted linear regression method, 加权直线回归
; [) X3 z ?" n+ Y$ f- s% S! QWeighted mean, 加权平均数
" `( U- o3 d5 c; P8 B0 NWeighted mean square, 加权平均方差1 X9 m8 L0 B! f, Z$ W* j- z4 d
Weighted sum of square, 加权平方和
+ ]+ R- T4 V) nWeighting coefficient, 权重系数
) a) P h5 ~4 S: B/ YWeighting method, 加权法
) A- ?) F: f- `& MW-estimation, W估计量 M$ C/ u7 Q2 A2 k
W-estimation of location, 位置W估计量
2 Y9 K/ k1 J% k: [' [0 [7 s ~/ a, J7 KWidth, 宽度$ _7 j1 Q' ]2 _1 G
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
; [) r( ]. |! Z; F8 ~9 S( UWild point, 野点/狂点2 W- Y6 E# t1 G5 ?" }" J
Wild value, 野值/狂值
) W Z7 b1 q1 K0 E% v2 D4 |& \Winsorized mean, 缩尾均值/ ]" m, P1 ?( W `7 v
Withdraw, 失访
1 ^4 J8 V5 _7 v3 ?+ A/ j2 ], mYouden's index, 尤登指数5 \" E2 N/ A0 p# K+ G
Z test, Z检验
& ^9 N! d. ?+ M4 h c3 \Zero correlation, 零相关# t) E+ J- r1 `
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
