|
|
Absolute deviation, 绝对离差
9 p- C$ F# V' u gAbsolute number, 绝对数7 y/ B& z0 g/ a# @2 d+ [/ G. ^
Absolute residuals, 绝对残差
3 E1 H% {% M; B/ T6 p2 }Acceleration array, 加速度立体阵
# T# v9 ~ _3 s9 bAcceleration in an arbitrary direction, 任意方向上的加速度
: G2 n5 S! x: k5 M4 Y. C" lAcceleration normal, 法向加速度
$ ?) D0 f" t2 }/ z4 }/ ^8 jAcceleration space dimension, 加速度空间的维数
& P, d1 b2 {5 O/ [Acceleration tangential, 切向加速度0 ]: f0 L) z: W6 b7 x
Acceleration vector, 加速度向量* W z" A: g* |0 f& |: t
Acceptable hypothesis, 可接受假设
7 f# o3 i0 r' v2 H" H ?0 ~& ~Accumulation, 累积
8 {9 I- ^+ d. o; e! uAccuracy, 准确度' `' D4 H. @* T
Actual frequency, 实际频数
3 g) i" c1 c. y! s; lAdaptive estimator, 自适应估计量1 {* a' r2 i- ?6 S6 j$ X/ W
Addition, 相加
9 R! B8 \/ S: G2 l$ z( N; KAddition theorem, 加法定理
2 t0 l" z! V3 I* c fAdditivity, 可加性, w/ I: I6 i& X3 `1 r# _
Adjusted rate, 调整率
2 T# ]( [2 d+ e, H. RAdjusted value, 校正值
* K5 D, l$ L9 K, V: SAdmissible error, 容许误差6 k2 b% n7 v3 h$ {& t$ C
Aggregation, 聚集性
. K: y4 U# R& ^8 x: l2 d, mAlternative hypothesis, 备择假设' q8 z* _$ i: T' s5 L% g! {+ Z
Among groups, 组间+ y6 S+ P1 \7 s; s6 g0 l
Amounts, 总量4 G' N5 l3 E+ j o) H/ m; w
Analysis of correlation, 相关分析: G( k) Y& t3 ]/ p' w/ g( p: \) J
Analysis of covariance, 协方差分析
3 D& L# v8 @1 { |8 {Analysis of regression, 回归分析
- I1 g& d h% v9 x/ ?, KAnalysis of time series, 时间序列分析
& w, Y2 A4 Y2 |' \Analysis of variance, 方差分析
" X4 f7 T _$ K$ l# wAngular transformation, 角转换
* w& U/ i9 P0 tANOVA （analysis of variance）, 方差分析
- X2 [' O" S8 A& `2 S* jANOVA Models, 方差分析模型; { h) w( i$ h$ C# x
Arcing, 弧/弧旋
; X: d, G3 O% | TArcsine transformation, 反正弦变换
8 q% U) ^3 l/ k1 y& ?0 YArea under the curve, 曲线面积
' I: m# A3 ]( I# H+ AAREG , 评估从一个时间点到下一个时间点回归相关时的误差 ' N* c0 k C$ f9 O+ U, j
ARIMA, 季节和非季节性单变量模型的极大似然估计
. ]4 P4 u4 A) r& f3 s5 ^, VArithmetic grid paper, 算术格纸( }2 A' V9 b% ]# L+ s! M7 j+ Z
Arithmetic mean, 算术平均数" [" M/ V6 i3 | ~9 Z- _9 |- p* V
Arrhenius relation, 艾恩尼斯关系9 D& K$ m& C& j* h+ ~
Assessing fit, 拟合的评估' ], k% {& g5 k2 E
Associative laws, 结合律
" a) V5 Z$ K" @- y9 XAsymmetric distribution, 非对称分布5 A1 w# [1 ] q7 }& w5 D
Asymptotic bias, 渐近偏倚# c: Z! u: u3 F8 {! F" ?9 ~' G
Asymptotic efficiency, 渐近效率" K/ e$ E, R3 e- g |
Asymptotic variance, 渐近方差
2 c6 }( K& F Y7 ]+ x& d( O; S- vAttributable risk, 归因危险度
' o, z6 m( U5 R' R( TAttribute data, 属性资料
8 [( M: \2 H$ H. q' c- y& `Attribution, 属性5 K0 _, T0 U S# X
Autocorrelation, 自相关3 M, u) n, `6 H8 s/ F
Autocorrelation of residuals, 残差的自相关
6 M5 ?0 g S: b0 ^& K4 r) qAverage, 平均数
! H1 W. U+ U% H, i; X6 K8 t: W: uAverage confidence interval length, 平均置信区间长度% I! M6 P, K" s! B9 U5 I. x
Average growth rate, 平均增长率
2 ^2 y/ Z# j0 E7 l' n/ zBar chart, 条形图
' s. t7 A4 C8 H3 u6 {# g. y0 S( a, G* IBar graph, 条形图* n3 G0 V, k& d- k
Base period, 基期
4 [$ M- J) }( Y# @8 q* D* O1 N# `3 RBayes' theorem , Bayes定理, k; L. g* y) j6 w3 J
Bell-shaped curve, 钟形曲线3 ]; S9 _# Q+ f' G
Bernoulli distribution, 伯努力分布
8 B# n3 y2 H! A! q; aBest-trim estimator, 最好切尾估计量
& ^# r" Q- k! ?3 fBias, 偏性+ N P+ a+ \! U5 |9 ?9 m' [* W
Binary logistic regression, 二元逻辑斯蒂回归
- p {5 t9 y" ~# d7 F$ yBinomial distribution, 二项分布
* O: J# J. U( f, H' T7 W/ mBisquare, 双平方
: o$ P$ O; _0 z1 nBivariate Correlate, 二变量相关
3 g" @9 j8 q2 E/ Y# `; UBivariate normal distribution, 双变量正态分布
! K" r2 \( E( m8 B2 I! \) OBivariate normal population, 双变量正态总体
0 ]/ e* [4 \$ `# G7 D; X& SBiweight interval, 双权区间
/ l8 e1 q7 e4 {( T( tBiweight M-estimator, 双权M估计量
4 ?0 V: S+ M2 V; |" q5 {Block, 区组/配伍组
Y1 F4 |( }' y; ^+ sBMDP(Biomedical computer programs), BMDP统计软件包
! q" o: _" D1 N! N/ X* _Boxplots, 箱线图/箱尾图+ ? l, ~5 a7 O! }2 _* y) D
Breakdown bound, 崩溃界/崩溃点
# S( K y1 [/ _5 k& g( s& Z& h( ]1 @Canonical correlation, 典型相关* _. u9 s7 S) ?4 P4 D
Caption, 纵标目
' z' f/ R! ?. m2 s. z l$ v5 `Case-control study, 病例对照研究
$ P3 Z) \: [2 v' p- G% ~; w3 [Categorical variable, 分类变量. {2 h* {+ z/ k& r! d1 _' z
Catenary, 悬链线
0 _ S1 _( D. v% L! ?6 tCauchy distribution, 柯西分布
' Y; x9 i. c5 R: D% }% FCause-and-effect relationship, 因果关系
) {. w' g: m1 n. \Cell, 单元: ?: a. n$ w9 o) `' f% r5 P
Censoring, 终检
% Z$ }8 g! y* G" RCenter of symmetry, 对称中心
4 P+ [. n) u, U0 Q- T+ J7 G' u4 B) x" R9 _Centering and scaling, 中心化和定标5 @/ p0 [3 R) }9 [5 H
Central tendency, 集中趋势
7 g3 e8 T e$ A# r( WCentral value, 中心值
- i) x' ]7 d+ F! v* {' o) BCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测, p* N1 T& f1 `$ U: i
Chance, 机遇
% ?! h5 r5 C# ?& a: Q) XChance error, 随机误差. k7 A4 ]7 Z1 L" h. R- r# h
Chance variable, 随机变量: \4 O3 T8 F4 f5 ]) h
Characteristic equation, 特征方程
' u; c4 o0 t" o/ NCharacteristic root, 特征根
( A5 L7 i7 {+ K% d4 XCharacteristic vector, 特征向量
+ I' g1 t$ B! I2 S, {Chebshev criterion of fit, 拟合的切比雪夫准则7 ~/ ~; n( U& P
Chernoff faces, 切尔诺夫脸谱图; n! p& p/ r* h( Q. M
Chi-square test, 卡方检验/χ2检验
7 @7 B% @4 ~; s1 p {# @ W1 D8 mCholeskey decomposition, 乔洛斯基分解8 j2 f+ q+ v/ V% o8 w9 Q" n
Circle chart, 圆图
/ W+ T/ o; d ~0 d' a, A* r+ KClass interval, 组距
0 n# F" C1 @1 h. DClass mid-value, 组中值3 G4 A, u. y6 W. W
Class upper limit, 组上限) ^) j6 h6 ~$ z. O( Q4 d
Classified variable, 分类变量
9 \* ]. R* L" _Cluster analysis, 聚类分析/ X) f' b4 p% K/ I: Q' F. T0 [
Cluster sampling, 整群抽样$ Y6 E6 `! T& k& m& _
Code, 代码: {8 Q$ Y0 n& E% q) w
Coded data, 编码数据
8 C' C9 k6 C7 X% Z- YCoding, 编码0 `' u+ g: p' y0 {# Z
Coefficient of contingency, 列联系数2 `0 I7 K" O$ o. x) U& Q3 h' r
Coefficient of determination, 决定系数
- o; D. ~% y' H1 a' t, qCoefficient of multiple correlation, 多重相关系数8 ~7 ~; B. z) [5 D. V0 q( u/ H
Coefficient of partial correlation, 偏相关系数: S& d( V( P: f
Coefficient of production-moment correlation, 积差相关系数/ n' N+ x5 b( q& @2 B& T
Coefficient of rank correlation, 等级相关系数4 B# r/ W, p0 A" ~/ H5 }3 @ y
Coefficient of regression, 回归系数% m7 A6 r( J/ S8 P1 ~
Coefficient of skewness, 偏度系数7 U$ I' K# a+ i$ p5 m2 S
Coefficient of variation, 变异系数
# C& F* P; R4 I* NCohort study, 队列研究
/ ?, Z1 \. [( w3 W- m/ ZColumn, 列
( a) C3 {# Y' y( q) ?7 @Column effect, 列效应
" {0 o& g. k4 {: c2 wColumn factor, 列因素 w: c: D( H. k3 v3 I+ r2 O, i
Combination pool, 合并
% x( e7 }9 n* iCombinative table, 组合表) A0 i4 q: I* O- V' |
Common factor, 共性因子
/ m5 `2 g9 m+ [Common regression coefficient, 公共回归系数( U) X) T: ]) g2 |5 F$ |) t# I
Common value, 共同值
7 y q, L, K: z* c! p% ?- T! NCommon variance, 公共方差) P* p, P: v) w
Common variation, 公共变异
4 i- K" S3 j1 g9 N; jCommunality variance, 共性方差, T+ h, Z3 ^9 z5 f
Comparability, 可比性
! x+ a; b3 C. V* l* H; J3 ?Comparison of bathes, 批比较
' J* T' e+ P9 B6 l. H" M4 UComparison value, 比较值2 b7 K& \/ l, \( z/ }" K1 K/ R
Compartment model, 分部模型
2 q9 q2 Y/ d' @( ZCompassion, 伸缩. k* p# ?# B, {9 Q
Complement of an event, 补事件6 b; N; C0 y1 N- c* Z) T' R/ O
Complete association, 完全正相关
7 F) z+ K' a+ t& [Complete dissociation, 完全不相关, D/ ?4 i, n# p
Complete statistics, 完备统计量# I" M' z+ i1 }
Completely randomized design, 完全随机化设计2 ]( U# S! \- h
Composite event, 联合事件: [: C3 Q1 E, C- G X/ ]
Composite events, 复合事件
2 a2 C5 U' o E' c; FConcavity, 凹性0 V, G4 l' g/ S3 [, W1 E( s
Conditional expectation, 条件期望; a0 o p. _! C% i$ u
Conditional likelihood, 条件似然
- S4 f1 {6 D5 o2 e. oConditional probability, 条件概率' R" T8 @2 e( s; j
Conditionally linear, 依条件线性
5 Q0 @) [( i4 W3 q7 }Confidence interval, 置信区间$ s: T7 Y% H- o
Confidence limit, 置信限
8 x5 ?% S8 L) a- y8 x/ t/ J& KConfidence lower limit, 置信下限
/ n! _: K# u; g' e j3 BConfidence upper limit, 置信上限$ d$ B2 u8 N8 }
Confirmatory Factor Analysis , 验证性因子分析8 X( x! e# \0 W# h1 Q T
Confirmatory research, 证实性实验研究
- ]* e) C+ T6 y' GConfounding factor, 混杂因素+ `' Y$ @( ]- ~5 y& c+ W
Conjoint, 联合分析
: k0 I9 \: w' t' K- BConsistency, 相合性; _2 L! w- n9 @# z
Consistency check, 一致性检验 ^6 b: W' a" L+ x3 ^
Consistent asymptotically normal estimate, 相合渐近正态估计
: E5 C& L( L) _9 v# z0 ~Consistent estimate, 相合估计
) j7 ?& k& p3 ]2 G% g, r3 s( UConstrained nonlinear regression, 受约束非线性回归$ j. F) p" e3 a2 r/ S; e) p
Constraint, 约束
; s7 s' P* r% }9 U# HContaminated distribution, 污染分布) k4 C5 _) D7 R+ y" B- q8 K
Contaminated Gausssian, 污染高斯分布1 v$ t; U7 ^0 k( j$ l6 S
Contaminated normal distribution, 污染正态分布
6 r2 D" [( d @: u/ QContamination, 污染
1 m6 k6 D- L, A- t KContamination model, 污染模型( w# _4 D, l P" x8 Q
Contingency table, 列联表
( O4 s$ v6 n: d, @; XContour, 边界线
Q! j* I; [0 N2 mContribution rate, 贡献率
0 P" G% D' L" `, h3 s' v, W1 Z. \ jControl, 对照
) p- _# ~) z, R4 ~3 C: f. jControlled experiments, 对照实验- P! h8 c5 X3 `+ {1 Y1 n2 |& P: b
Conventional depth, 常规深度- u8 Y1 g* u; R$ d1 p: f5 l
Convolution, 卷积1 \5 b; C9 U: |/ r) U+ u8 Y9 [: ~
Corrected factor, 校正因子
2 q5 a) w* v; V7 t+ u$ CCorrected mean, 校正均值, ]. v3 E8 L3 a2 `" U; W: F! R
Correction coefficient, 校正系数* D8 U* y8 u+ m/ m3 ]8 W9 U
Correctness, 正确性+ Q( }! w2 y) T; A/ R# @
Correlation coefficient, 相关系数0 E4 H" W' A7 ]; s2 P8 A
Correlation index, 相关指数4 Y. ]# t9 s6 Y" a+ c& M. l
Correspondence, 对应
( y' s2 Q7 y k5 W( M2 jCounting, 计数
% n, ~6 J9 b, B* gCounts, 计数/频数
. Z: U/ W: e- r+ N2 {Covariance, 协方差
+ T; \$ H: b0 E: wCovariant, 共变
. b& d7 j Q1 Y8 |& KCox Regression, Cox回归4 S, o2 M% a6 a8 o
Criteria for fitting, 拟合准则, \8 F5 a1 R1 P" T: h3 V
Criteria of least squares, 最小二乘准则
* l4 M* f& V; _1 y% RCritical ratio, 临界比7 k7 {' Z/ v: k7 o' a
Critical region, 拒绝域
5 J! A* [% a% S$ _3 g8 E0 ~. t6 n, m* OCritical value, 临界值
# {! E* @ n: t; x5 A5 H) g& ?9 JCross-over design, 交叉设计
7 t# v6 N, ~, v9 j$ K# BCross-section analysis, 横断面分析
) B! {, V1 z: D: ?Cross-section survey, 横断面调查
( d- \ F; f( H$ C8 ?! \% uCrosstabs , 交叉表
( G q2 V/ \( r$ c1 j5 V7 M6 \3 U" D9 gCross-tabulation table, 复合表2 \/ \; b3 Y+ J2 @8 | T1 y
Cube root, 立方根
) a) u; q3 m* l2 r, u( tCumulative distribution function, 分布函数
) N( g9 Z, h3 _% b; S" z7 P: YCumulative probability, 累计概率
$ }. y6 T! k1 p- {7 } [9 vCurvature, 曲率/弯曲: o: Q9 _. D9 U( R5 g( p# y
Curvature, 曲率
; m1 \, t0 x K w& H- p* U4 FCurve fit , 曲线拟和 / |( h- ?4 M8 o4 c
Curve fitting, 曲线拟合/ L( y- w1 {) G8 {( J: s. l
Curvilinear regression, 曲线回归
% A/ V2 E; H, N, h/ u$ A% RCurvilinear relation, 曲线关系- ^& ~6 Q4 N( Z2 e! V; c
Cut-and-try method, 尝试法
3 ]' P" U" \- ?0 f! sCycle, 周期( E- Y4 d# ^9 X- Q# U$ p
Cyclist, 周期性
6 _2 O$ P) G aD test, D检验9 J8 Y1 Z: R" V! d/ ^
Data acquisition, 资料收集, {. ^3 V& B* l+ G) a% N, N
Data bank, 数据库( f( c( X7 L, K9 v
Data capacity, 数据容量
( S. Q) D2 H2 g3 A3 O4 Y3 [# XData deficiencies, 数据缺乏+ U! d) G' |& |5 c& v
Data handling, 数据处理* T( z& b( k9 J8 h
Data manipulation, 数据处理
. I4 m* z! ~" @0 IData processing, 数据处理# |) {. r; F4 O6 Z- V
Data reduction, 数据缩减% l& g8 A9 W. h4 Z% t, w
Data set, 数据集% J8 N0 u7 k% Q! O
Data sources, 数据来源6 t. x3 d* { l5 s2 N/ @
Data transformation, 数据变换) l& H4 B3 f) O* }
Data validity, 数据有效性) ^- ~. j/ i- a0 f2 h
Data-in, 数据输入
5 A. R, `! h, x" I5 z% O1 {Data-out, 数据输出8 t1 @9 N2 o* z4 b
Dead time, 停滞期
( z$ w$ V! Z' H+ H' X) K; C$ G! o, _Degree of freedom, 自由度+ M1 z4 u$ b$ w
Degree of precision, 精密度. r' t' l3 Q7 g3 O
Degree of reliability, 可靠性程度$ K& n; {0 g: q8 m* T% S! [
Degression, 递减
" C( Q% n* X7 X/ YDensity function, 密度函数# Q4 r q1 O$ h
Density of data points, 数据点的密度2 Y8 n. @, J D2 `3 I- M* ]
Dependent variable, 应变量/依变量/因变量! g0 L0 g0 d* g1 m8 Q
Dependent variable, 因变量0 s7 G' I! H9 W! X ]' c
Depth, 深度1 ?8 U3 o. o. U+ b$ z
Derivative matrix, 导数矩阵
: @! A" Q4 N8 m& o! R/ cDerivative-free methods, 无导数方法
' J8 X7 x/ n$ Z* T6 F# s3 N$ ZDesign, 设计
; K4 A/ |- ]* T% i! {3 ~Determinacy, 确定性
* L6 B! |! q/ M5 s/ H: c7 BDeterminant, 行列式+ i' y1 a; {( F' |
Determinant, 决定因素
* w* ^, g' }" {! cDeviation, 离差
9 L' R) r4 g W2 |+ ADeviation from average, 离均差; Z% [* H7 E0 E) [3 Z
Diagnostic plot, 诊断图/ r6 x% b; n: k3 H9 N |
Dichotomous variable, 二分变量2 O" J5 N F) v7 _$ q3 u
Differential equation, 微分方程
. {) C8 Q& I# u8 gDirect standardization, 直接标准化法' r9 q# F- s- B
Discrete variable, 离散型变量/ J+ t; t, ^$ K; x. {
DISCRIMINANT, 判断 # P) g. x; h6 I0 }7 C# [6 _% M
Discriminant analysis, 判别分析
+ H h C* y5 d; NDiscriminant coefficient, 判别系数
2 c/ n# `: C0 V/ j+ ^Discriminant function, 判别值) L: m* F: u, N% B! d% h: h
Dispersion, 散布/分散度6 i) T' ~, w' ]7 ]2 ]/ `( ?% T' t+ p
Disproportional, 不成比例的6 k8 O, S5 Q5 _ w# K9 h; [
Disproportionate sub-class numbers, 不成比例次级组含量
/ [% ~" ?* U8 T1 vDistribution free, 分布无关性/免分布* t( e9 e v" E' ]4 r1 Q4 W) |% A
Distribution shape, 分布形状
1 x; H2 L, s8 @2 R' x$ l# [Distribution-free method, 任意分布法
$ T$ r% k3 I' A8 o2 u) ?- ADistributive laws, 分配律: w* i$ X9 S \
Disturbance, 随机扰动项
/ i. W Z: q) H0 }3 O& [; ~4 F& U- X( p6 WDose response curve, 剂量反应曲线7 }: J! R( U! \9 D, H
Double blind method, 双盲法# b5 @2 x6 T# v! j. ]$ |3 }/ d9 p
Double blind trial, 双盲试验6 M# @! E: s3 Z9 ^7 D" T0 |, i. [
Double exponential distribution, 双指数分布
; P" H/ D2 @3 Q6 s' vDouble logarithmic, 双对数* I( x+ |% @& K+ E- M
Downward rank, 降秩
, [. E& N1 D: @) P4 o i. H4 cDual-space plot, 对偶空间图
, q7 M+ }& ~" ^$ g- K: q; x+ l0 LDUD, 无导数方法& T% _7 K5 i. C' ]* N4 z2 ~, S4 ?
Duncan's new multiple range method, 新复极差法/Duncan新法8 C0 e1 t& ^' F: m
Effect, 实验效应& x7 I+ }# s0 C7 g- M1 e
Eigenvalue, 特征值( O# C- J) h! P3 |% Q6 x
Eigenvector, 特征向量
( A/ M: j! x1 y, Y: p$ cEllipse, 椭圆 }# T: J: x1 z! s. `# l8 {! o
Empirical distribution, 经验分布
# J) q }4 K7 \! k% ~6 _4 J% eEmpirical probability, 经验概率单位- f# A- b( P' q7 y
Enumeration data, 计数资料
5 E3 W, p3 R+ M9 d; D1 kEqual sun-class number, 相等次级组含量% u7 X5 I3 l8 s+ [+ ]) P) G
Equally likely, 等可能
( F$ ^1 @4 G( t9 h: T7 N+ SEquivariance, 同变性
) M+ c j( y' A0 _; T3 ^7 r, b% U# oError, 误差/错误
/ j1 S4 b; M9 V; i9 `2 dError of estimate, 估计误差
, z0 J$ r3 }) a- m3 E- H; e! hError type I, 第一类错误0 ~4 e& ^7 \/ r$ N& P. g) A/ k
Error type II, 第二类错误
9 w; C; ]8 K/ tEstimand, 被估量
4 q& Z- h6 n7 b8 Z" m: R, _Estimated error mean squares, 估计误差均方5 z/ v: G4 C8 P' `- F+ R
Estimated error sum of squares, 估计误差平方和
; |2 `& i* I6 c/ GEuclidean distance, 欧式距离
' B# P+ s9 k4 [8 nEvent, 事件" E7 y/ m) e$ g! ~" ~+ _6 u# H
Event, 事件0 j( L, n, I7 E) L4 u9 O
Exceptional data point, 异常数据点% [/ L+ d* s; @4 ^$ ^; q
Expectation plane, 期望平面: w. g# u# G( Q# M& c5 z0 p; b
Expectation surface, 期望曲面
: x) q. B1 T) L1 hExpected values, 期望值& j0 E3 Q) S: X9 ], |
Experiment, 实验
. x: @3 A! t s, KExperimental sampling, 试验抽样
$ V; f$ x V) P$ s2 o. p0 I! TExperimental unit, 试验单位
; s. M3 x# b% R: V& d! w: m8 P$ gExplanatory variable, 说明变量
. H; L }) H4 o" ?Exploratory data analysis, 探索性数据分析
Z' n/ ]# B1 H. hExplore Summarize, 探索-摘要 i5 t# X, U( L* ^ l- E
Exponential curve, 指数曲线
0 D+ s9 w' p7 Y! ^/ E* RExponential growth, 指数式增长
8 o6 ^. B4 ]% L0 a# W) e$ B; R* X. yEXSMOOTH, 指数平滑方法
8 h* L- J4 u( Y j; S8 h; U jExtended fit, 扩充拟合8 F% h" e& o( W
Extra parameter, 附加参数0 J0 s$ H4 m3 l' t& x
Extrapolation, 外推法# |' [: f+ @& p) s' f! X$ G
Extreme observation, 末端观测值5 W: s/ `- } i' ~' \" y
Extremes, 极端值/极值" W7 H* K& i- g+ E, o; T$ o L1 i; W. g
F distribution, F分布
/ n- `4 ]7 H L: a( o, k4 l+ @9 {F test, F检验2 M5 ] b9 v# N/ m8 O) j
Factor, 因素/因子4 s' t+ Z1 _6 _* M# Y$ ]* o+ K
Factor analysis, 因子分析
( A0 X1 P2 N/ P! I6 d5 S5 ]! vFactor Analysis, 因子分析
# R& v" D* V" J% J TFactor score, 因子得分
- `: k: U* m, @: {$ `+ n8 ~, rFactorial, 阶乘
, ?, V. W! O t/ Q7 g6 G8 kFactorial design, 析因试验设计
) ]; {, l) V$ {5 Z" xFalse negative, 假阴性! V3 u# g0 d, U) o) g ?" U
False negative error, 假阴性错误
% J4 Q- ?# ]0 p) x) @Family of distributions, 分布族8 G: J2 K6 I2 Z9 ]( H2 @
Family of estimators, 估计量族
. {( G9 R+ Y i3 p: s8 a# V( MFanning, 扇面5 x% \8 X( R3 t' v/ D: _0 J
Fatality rate, 病死率
/ [# ^& p) G0 Y5 I* hField investigation, 现场调查, O, D$ _0 I. p$ A( M' I4 e9 C, z
Field survey, 现场调查2 @5 c8 M! l" p
Finite population, 有限总体
) v) C0 T# G; D) j- L1 zFinite-sample, 有限样本
: k5 G4 c/ F% |6 s$ }First derivative, 一阶导数
3 \* U- A$ x; k) l3 U& eFirst principal component, 第一主成分2 K0 Z7 [' S# c) B
First quartile, 第一四分位数. Y$ Q( a* h6 d, v) R! b
Fisher information, 费雪信息量& n7 |8 `8 G" l, e
Fitted value, 拟合值6 v+ W) @7 h8 l6 F. ]
Fitting a curve, 曲线拟合
3 Z0 R9 h3 `( Z5 t/ T" R3 R& SFixed base, 定基
; P: w' o- n+ rFluctuation, 随机起伏
* E7 c$ E5 S+ q. Z2 x! \Forecast, 预测, n& W+ l& _8 g# {( X7 T
Four fold table, 四格表8 d) i2 h g Y: ^/ ^9 q+ i
Fourth, 四分点
0 e/ v# T# I! o! c7 PFraction blow, 左侧比率( N4 J8 w/ p7 b. ]! a# Z
Fractional error, 相对误差
8 e) d5 w- m% P5 aFrequency, 频率
6 A; {& U. Y. e( ?; ]2 bFrequency polygon, 频数多边图8 D6 Y: {0 }) r+ L' {2 V
Frontier point, 界限点- G X6 l/ |$ Y0 ?# H" w+ q
Function relationship, 泛函关系* U& H2 ]6 q5 ?. {' Y
Gamma distribution, 伽玛分布; n; N; e; [. Y+ b) B5 J7 L/ ~* b
Gauss increment, 高斯增量
5 f+ L4 b& j$ [; j4 ~& B0 uGaussian distribution, 高斯分布/正态分布2 b5 C" ?1 X" s! t2 q/ {+ L% ^
Gauss-Newton increment, 高斯-牛顿增量
( i# W# V/ r8 WGeneral census, 全面普查4 R1 U1 f9 p3 s! t1 k) j( S& H
GENLOG (Generalized liner models), 广义线性模型
- \4 h; X0 u% d! iGeometric mean, 几何平均数
) [; @1 O& M- s8 B1 m6 EGini's mean difference, 基尼均差1 h" \& J( L; p8 W4 t
GLM (General liner models), 一般线性模型 " M) n) A4 F5 h" d8 _+ X3 |
Goodness of fit, 拟和优度/配合度: b6 _2 t/ e( f1 I6 u
Gradient of determinant, 行列式的梯度
8 O& @* b7 D' F7 `8 f9 v' ]Graeco-Latin square, 希腊拉丁方
" J% Z' w5 N0 ]Grand mean, 总均值2 g- d% D4 }: |' ~- u
Gross errors, 重大错误$ I8 j3 E5 Q7 r$ J7 D$ Q# P
Gross-error sensitivity, 大错敏感度9 r4 O/ m" m: U# R0 U# L) F: [
Group averages, 分组平均2 r" _0 W* O5 m* ?
Grouped data, 分组资料0 M: ]8 z/ W# C' p6 v+ }+ ~3 Q
Guessed mean, 假定平均数" e8 N% F6 y! i/ u# _# k
Half-life, 半衰期
% h9 R6 V5 A( n# X. u3 ?Hampel M-estimators, 汉佩尔M估计量$ H' ~. b: s. z! x0 l6 ?0 K* e
Happenstance, 偶然事件, ]! B8 \, }& g! L; w/ k! w6 G
Harmonic mean, 调和均数
# f0 y9 m7 J' r: D. [3 mHazard function, 风险均数
$ L3 r( b8 i9 W) G7 VHazard rate, 风险率, c$ I5 D+ b( E) s: S* e9 Z
Heading, 标目
2 G, d! _# C5 THeavy-tailed distribution, 重尾分布6 a3 z' S* a% J& J s( j3 }
Hessian array, 海森立体阵/ s* I) v: {# v# K p! F
Heterogeneity, 不同质 V' `) K1 e7 u, f: H' {3 e
Heterogeneity of variance, 方差不齐
( j y' q3 b* y; U) |Hierarchical classification, 组内分组% \4 C, h( Y. h2 c R2 ^
Hierarchical clustering method, 系统聚类法
1 S( k; C9 M: T, T8 sHigh-leverage point, 高杠杆率点- y3 x8 X+ a$ | h! j4 i" b
HILOGLINEAR, 多维列联表的层次对数线性模型
0 m3 g4 `( z n1 THinge, 折叶点
2 F2 f) j1 X- x! L6 w- }) R% NHistogram, 直方图" x& @2 J( \ Y" z1 }# X' G) @3 b
Historical cohort study, 历史性队列研究
1 O" {, q% E. N9 I! pHoles, 空洞6 G @- n. g; F1 \
HOMALS, 多重响应分析
' E1 ]% ]! l; D* zHomogeneity of variance, 方差齐性' L7 p9 C6 b2 i% U
Homogeneity test, 齐性检验
5 l. X4 ]& S1 s tHuber M-estimators, 休伯M估计量; }0 J6 i4 s2 |. [8 D" {, F1 \6 m
Hyperbola, 双曲线+ p; V) s8 I) F' c- i+ ]; D& {) E
Hypothesis testing, 假设检验
1 r; U1 x' Q# uHypothetical universe, 假设总体5 o8 m: d! v7 U9 p
Impossible event, 不可能事件: y; m4 m7 e5 c0 d3 T# Z" g
Independence, 独立性
! b) C, N, r; Q. {' KIndependent variable, 自变量
6 }" w+ F; K4 ~+ N) V$ M" DIndex, 指标/指数! `- O4 Q2 N7 ?, o# |# k. b
Indirect standardization, 间接标准化法( e/ j" P$ ~4 T- v7 k
Individual, 个体
9 B8 m# ?% A# B. |) wInference band, 推断带! q, y5 G- V, ?$ N7 ]' j
Infinite population, 无限总体1 ]4 ?# g% L0 w4 Q0 [) @3 ?
Infinitely great, 无穷大9 D. v1 o, K% Y( o8 A+ P0 N
Infinitely small, 无穷小! H( P; e# N6 B
Influence curve, 影响曲线
( M* r& ^% J9 J6 R* bInformation capacity, 信息容量' Q6 y D, _6 ^: x
Initial condition, 初始条件9 `# M9 x" ]7 B- l( ]
Initial estimate, 初始估计值
0 P/ v: P: L0 l! y5 }9 ~" O5 QInitial level, 最初水平
0 \; t# _; ~2 nInteraction, 交互作用% n: Z9 P: q: l* f! f
Interaction terms, 交互作用项& _" z* L" Q) r3 Z! c. d, q
Intercept, 截距
! U5 K" \ S( F7 B; i1 x" JInterpolation, 内插法. n! R# ^: Q) A% e7 }; e; {8 V
Interquartile range, 四分位距$ z" y# {( |* G( s0 B- y' k8 d4 K" C
Interval estimation, 区间估计0 ]1 r- `7 Q% h
Intervals of equal probability, 等概率区间
. O2 f3 t4 |) kIntrinsic curvature, 固有曲率 A: l5 T K# {- t# D" c' a! s4 C
Invariance, 不变性
. d9 {8 m/ u: I6 P6 `; r$ e FInverse matrix, 逆矩阵
. ~2 y* N0 i, Z! C- Y5 Q0 _8 b9 CInverse probability, 逆概率7 |* u, }) Q8 V: @- j. ]% x& i
Inverse sine transformation, 反正弦变换
9 @" m, g9 C- E# s" w# i6 DIteration, 迭代
N/ P4 {6 Q9 AJacobian determinant, 雅可比行列式! T2 _2 @! y) I4 J, @7 E
Joint distribution function, 分布函数
c3 G, C& |9 |, x8 M I$ uJoint probability, 联合概率
& s [" |* ^/ @) c; hJoint probability distribution, 联合概率分布1 k! }0 Y* Y! t8 t0 l
K means method, 逐步聚类法" J" A8 {% g* Y6 n
Kaplan-Meier, 评估事件的时间长度
' O! j$ }6 F* B( j0 fKaplan-Merier chart, Kaplan-Merier图% y" A2 F; c! R4 `
Kendall's rank correlation, Kendall等级相关
\- l* o% o6 f0 N3 V$ Q. T0 MKinetic, 动力学
: C9 K, {$ `+ Y3 ^Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验$ u4 [' i- P* w8 P
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验/ O6 Q |$ n$ ~3 l4 }
Kurtosis, 峰度
) ~' }1 c8 f8 \4 ^" n, jLack of fit, 失拟
/ j' A9 z2 A3 j$ S/ ^: YLadder of powers, 幂阶梯
I P( J/ G# u' y& mLag, 滞后 _1 g; D" Z9 Z. R2 A: B) Q9 u
Large sample, 大样本
. h' d6 v# B+ R+ O" kLarge sample test, 大样本检验
% ?% O; W6 {6 k2 Z4 S. `% sLatin square, 拉丁方+ L! B( w' P z4 X1 V5 Z
Latin square design, 拉丁方设计+ O6 |1 I+ z" N: b+ m! A2 R1 s+ j
Leakage, 泄漏2 W3 m4 C5 @, @) _% o: Y/ U; s) x
Least favorable configuration, 最不利构形4 [ L6 `3 M% z+ r' L
Least favorable distribution, 最不利分布0 { T) E. f4 W: D# y
Least significant difference, 最小显著差法
/ D0 S$ }7 }3 c. U1 zLeast square method, 最小二乘法
: \5 |" _, H4 S, lLeast-absolute-residuals estimates, 最小绝对残差估计
# q# H2 O$ a* P7 QLeast-absolute-residuals fit, 最小绝对残差拟合4 b" m2 A# N/ C/ Y, g
Least-absolute-residuals line, 最小绝对残差线
, l. a! z" ^3 MLegend, 图例
" j: B) }1 ]5 `' W4 b) p2 oL-estimator, L估计量& u! ~3 d ~4 J0 l' |
L-estimator of location, 位置L估计量
" }& f( l! a) X p- V$ wL-estimator of scale, 尺度L估计量
1 @7 u8 l+ u. w$ \Level, 水平1 V1 ^$ h" w: I6 v. W# x7 G
Life expectance, 预期期望寿命
& T5 ~. L( B# ?) Q. Q, mLife table, 寿命表
$ w- F8 m) x# P. G3 iLife table method, 生命表法
! O* H/ Q: ~2 mLight-tailed distribution, 轻尾分布
: x2 z; ~9 r% nLikelihood function, 似然函数
" A( ]- z [: N n8 V5 m/ r9 }9 ?: x, DLikelihood ratio, 似然比
, Q: u& b) _+ H" M1 X3 {; k# Jline graph, 线图
- h: e: y4 b T1 C8 A3 qLinear correlation, 直线相关1 q0 g o! u, z# g; U+ ^$ e
Linear equation, 线性方程
& E1 n" a$ g% z. A) M% ELinear programming, 线性规划5 C* k& [5 _5 ^* h
Linear regression, 直线回归1 X* t2 }) D; W' v! x4 _: e- p# p# }
Linear Regression, 线性回归
- T2 a- i9 b. V+ i/ Z* RLinear trend, 线性趋势2 a, F' Q9 i8 I0 {. b* G
Loading, 载荷
7 c( i0 N9 u6 j k) T# V& q9 FLocation and scale equivariance, 位置尺度同变性
7 B, p0 N1 ~2 @* v/ k4 lLocation equivariance, 位置同变性
. E0 w4 S% D. N$ M* U$ h8 f( t" rLocation invariance, 位置不变性
/ B. J- n9 Y$ I9 q; HLocation scale family, 位置尺度族0 n5 T \; B! z4 U$ W
Log rank test, 时序检验 # B; m7 {8 n8 E) n4 [
Logarithmic curve, 对数曲线
& N5 m7 U$ `5 _3 D9 B5 XLogarithmic normal distribution, 对数正态分布% m1 |' L2 T- }& k: m) E5 J/ A
Logarithmic scale, 对数尺度
! n+ B' w) n9 pLogarithmic transformation, 对数变换
9 i7 Q% }% ~. X5 `. [6 ^Logic check, 逻辑检查6 A" T3 D0 K" v9 L7 E/ q$ J0 W
Logistic distribution, 逻辑斯特分布
+ a6 i6 ?: a f" Y7 KLogit transformation, Logit转换
/ X8 Z) h+ W! l/ z8 CLOGLINEAR, 多维列联表通用模型
+ }! y- A5 W# j2 F8 b8 a, \Lognormal distribution, 对数正态分布) R5 ^ E! {+ u: W4 U
Lost function, 损失函数
) m' I1 w9 p5 I/ f* a) q0 VLow correlation, 低度相关% t! q/ z; O: c, D
Lower limit, 下限& L7 Y- {4 `# a4 P. w/ A
Lowest-attained variance, 最小可达方差
o) L6 `) l( l+ }- ^2 Y/ j0 P% BLSD, 最小显著差法的简称
% E* d" O6 ~3 H5 X$ d" ?. \0 dLurking variable, 潜在变量
: a$ X2 X/ g. v6 [; M5 uMain effect, 主效应! @8 S i8 P0 L$ [' u5 P9 i3 D
Major heading, 主辞标目
* M4 b! C& H/ x0 mMarginal density function, 边缘密度函数" J. T0 E2 x$ m3 K+ k7 l) t# B
Marginal probability, 边缘概率0 V& ~* I/ \2 @1 U( F/ h$ u
Marginal probability distribution, 边缘概率分布
& p$ H. ~3 [" B" _: m+ D$ d% o2 rMatched data, 配对资料
$ h, ~+ a3 f# t9 s, ]9 `Matched distribution, 匹配过分布+ u) A3 J# }2 F
Matching of distribution, 分布的匹配
+ f0 t N# t& P0 T' N/ gMatching of transformation, 变换的匹配6 O2 [- S. c$ o$ m
Mathematical expectation, 数学期望$ f4 @6 U& E" \
Mathematical model, 数学模型( d0 g) J7 K# i: k
Maximum L-estimator, 极大极小L 估计量! n7 c/ p" D1 t) e
Maximum likelihood method, 最大似然法2 X, a6 o0 V& T; o# w
Mean, 均数
/ U+ r7 D9 e k9 q/ M! SMean squares between groups, 组间均方
" ?) D7 r- }9 ~5 Z; ~Mean squares within group, 组内均方
; L' Y. u) d9 A; g2 B1 G5 ^Means (Compare means), 均值-均值比较3 \" [6 R+ m" ^3 [. U/ B- s* h2 B
Median, 中位数* u- a8 N) d0 \5 m A- v5 Q% b
Median effective dose, 半数效量/ d# r- `& r1 B& j6 M7 r
Median lethal dose, 半数致死量
9 P A( o2 g. l* VMedian polish, 中位数平滑
) [$ O" \% e- C! LMedian test, 中位数检验: Q9 I$ g" o& q! R1 X3 e$ D) C8 I" q
Minimal sufficient statistic, 最小充分统计量1 _# }* K+ \2 Q3 z
Minimum distance estimation, 最小距离估计
; c% J, q" R6 `, RMinimum effective dose, 最小有效量
5 u0 E3 h2 Y U: |Minimum lethal dose, 最小致死量
% K1 C4 M' s0 g4 A' tMinimum variance estimator, 最小方差估计量2 f6 ?& ?) z( S5 v7 t% G
MINITAB, 统计软件包7 m# r& z7 N# ~0 W. u
Minor heading, 宾词标目% i% J3 j' R b8 ]3 B
Missing data, 缺失值4 V9 F" ]% A! j/ k$ {- V/ C
Model specification, 模型的确定
& i2 V+ E" N% ^ ^7 D& _, lModeling Statistics , 模型统计
, ~1 k& M3 s4 K2 K3 r' c& J. p0 q2 [% rModels for outliers, 离群值模型
2 Y0 d: D: G* n8 L B+ ^9 j. PModifying the model, 模型的修正
4 u+ q4 h. j) m( V: l- }' `Modulus of continuity, 连续性模
) U0 s- E9 O1 G7 yMorbidity, 发病率
8 G2 i3 h( m3 lMost favorable configuration, 最有利构形
6 F9 g! q9 k1 |+ \Multidimensional Scaling (ASCAL), 多维尺度/多维标度0 y1 d' X! Y/ a5 B6 y
Multinomial Logistic Regression , 多项逻辑斯蒂回归
' {0 w- E; r, oMultiple comparison, 多重比较( ^' l# z2 v- ~- S
Multiple correlation , 复相关 a& z2 b% Q9 Y% C, |8 I% M
Multiple covariance, 多元协方差7 G, M: ] u6 o3 q3 L1 r
Multiple linear regression, 多元线性回归
, ]1 G" l8 b9 N3 A+ ]- BMultiple response , 多重选项
& Q Z; A; b3 d1 `& VMultiple solutions, 多解
: R" V5 Q: r* f K% uMultiplication theorem, 乘法定理/ o! A5 I# I2 m
Multiresponse, 多元响应
1 K& f7 V" S0 |6 J9 M! ^2 r3 nMulti-stage sampling, 多阶段抽样7 N' e( L% U r4 R6 ~
Multivariate T distribution, 多元T分布5 F# `( j. n8 V2 {7 h
Mutual exclusive, 互不相容
& s. Z0 q* L Z- kMutual independence, 互相独立
9 n% w# |8 a8 k) t. b XNatural boundary, 自然边界; c. z; N- {6 ^+ j+ b1 ^
Natural dead, 自然死亡9 G2 W! r. C7 M
Natural zero, 自然零$ i( k+ V6 a) i, V
Negative correlation, 负相关
" o( g3 @3 c# n% V7 ]Negative linear correlation, 负线性相关. i. q; L" x( O% v. y) L
Negatively skewed, 负偏
6 w" w4 s5 ], y# G% {& l2 kNewman-Keuls method, q检验5 L: ]) ]# A. c) K
NK method, q检验0 N9 E% Y+ a# q7 [* Y, V$ t+ ~
No statistical significance, 无统计意义' n" q4 v# s, Q" S' J
Nominal variable, 名义变量1 J: Y" M d6 k" L% K8 q
Nonconstancy of variability, 变异的非定常性; ^/ _9 A- j% b& R7 z5 D" P
Nonlinear regression, 非线性相关; J& a9 ? S' k, `. L
Nonparametric statistics, 非参数统计
! V; ~+ I# n& l" r' Q @ lNonparametric test, 非参数检验
% S/ I, W2 s3 `0 nNonparametric tests, 非参数检验! ^$ v x5 C" [/ k9 @" e
Normal deviate, 正态离差" I$ u) u/ o5 R, @
Normal distribution, 正态分布! h% x d8 O+ ?4 L. l" T
Normal equation, 正规方程组& i0 Y Z# I( d" L0 L1 \2 E
Normal ranges, 正常范围
% d c3 D6 [3 x" K- M' q y. ZNormal value, 正常值/ b- h8 j0 H& ]# I# \4 O
Nuisance parameter, 多余参数/讨厌参数. _/ z" j3 E# ~" F9 q
Null hypothesis, 无效假设 2 V& e3 u8 U: h$ N7 m( B' B
Numerical variable, 数值变量- v5 ^9 f1 W( t# x3 a6 n
Objective function, 目标函数+ N7 |/ D! H/ u f
Observation unit, 观察单位) n9 N7 }7 V: R( Y, K
Observed value, 观察值
& A; D& W$ J. z- o% q% gOne sided test, 单侧检验
7 ]5 }) B& B s! `* M0 t+ _One-way analysis of variance, 单因素方差分析
4 q. S4 ~3 Q9 v9 F0 N1 D8 @& o5 pOneway ANOVA , 单因素方差分析# w' i6 q; E8 b# F5 Y/ f
Open sequential trial, 开放型序贯设计! N7 d( u$ b* k2 H0 X
Optrim, 优切尾# I4 Q; F/ W+ ]! ~2 |2 b! ]) N
Optrim efficiency, 优切尾效率
, E, k E# X4 |3 |- z- `Order statistics, 顺序统计量
% D- a5 X( {6 w$ x1 ^, W( ZOrdered categories, 有序分类# T6 F0 V5 d$ i6 L( |; i
Ordinal logistic regression , 序数逻辑斯蒂回归
8 x+ I G4 c( H! B9 Z7 J4 U4 QOrdinal variable, 有序变量2 b( D& x0 b+ W& g+ ^+ n
Orthogonal basis, 正交基
- y: n2 J6 p* I- y/ t ?Orthogonal design, 正交试验设计
b) m6 C/ y$ s+ {& M) R& x5 mOrthogonality conditions, 正交条件
2 c3 u8 z+ k$ JORTHOPLAN, 正交设计
5 p; u- Z a, A( h3 e i( L |8 NOutlier cutoffs, 离群值截断点: z, h9 z4 ?) ^/ H m
Outliers, 极端值
5 G# H4 v! V3 g+ }OVERALS , 多组变量的非线性正规相关
+ V; r' M5 b) n7 t% {( q: MOvershoot, 迭代过度- W1 O; B' u- `/ u
Paired design, 配对设计) ~' b+ P% @! P2 L7 J; E) v: B
Paired sample, 配对样本
* m1 q6 \4 n* w& S2 ]4 s$ y5 |: `4 @Pairwise slopes, 成对斜率
% s; u1 E; E- r4 s0 I6 nParabola, 抛物线6 v6 H3 Y% r3 D+ Z* q8 P
Parallel tests, 平行试验# d$ t* J4 X! V. g* T b4 M
Parameter, 参数, i! t, Q. @! b
Parametric statistics, 参数统计2 X. I4 E# z; g" V; }! K; t
Parametric test, 参数检验
8 e5 @# `, K- i+ P; Z! }Partial correlation, 偏相关+ f& C5 ^- `$ t' ?
Partial regression, 偏回归
+ U W3 u: F) QPartial sorting, 偏排序
& q2 ?4 F' \& G! vPartials residuals, 偏残差
- y! E; A" Z4 A! B* zPattern, 模式' m/ T2 k, j# c( O4 t: i+ \
Pearson curves, 皮尔逊曲线8 x' O) M- [. m' ~$ G! ^
Peeling, 退层
o0 j! C* @/ ]% g* \5 K6 VPercent bar graph, 百分条形图: v. m( a/ q0 w9 P2 T6 [
Percentage, 百分比
0 g+ ^5 J# E# I! z0 P9 jPercentile, 百分位数
% b( P" R* I. C$ i- I8 o6 hPercentile curves, 百分位曲线7 C* X5 F3 }& I8 N, G* }$ Z9 q
Periodicity, 周期性
- D) P; n' J6 R2 \( i0 P- ?Permutation, 排列
0 q, K x) M* G+ }& b) ^( Q5 ]P-estimator, P估计量5 k _8 `8 K; P' ]! ^
Pie graph, 饼图
: T* v+ S7 Q- e5 [5 I9 y4 U5 `0 mPitman estimator, 皮特曼估计量5 y; f; _; n2 @! _- I1 b$ f4 G. W# m
Pivot, 枢轴量
- J4 R* `3 {" q) _' cPlanar, 平坦3 q) R0 w; Z3 C; P
Planar assumption, 平面的假设
|. u+ ~1 W; H* T; i& n0 V& rPLANCARDS, 生成试验的计划卡
& L4 M7 R! X6 I q! fPoint estimation, 点估计# v/ U/ v v# D9 V* _
Poisson distribution, 泊松分布, T% d7 e" ?/ K4 \! Z# f& T. M2 `' g
Polishing, 平滑1 j( I& k0 E! L: F6 a
Polled standard deviation, 合并标准差, \" i# u3 `9 ]! g
Polled variance, 合并方差
$ i; G T: a) d5 x5 g% p& tPolygon, 多边图
1 b. n0 N% z9 D' f* p+ cPolynomial, 多项式
& S; [& s. L( TPolynomial curve, 多项式曲线
4 M( K' F9 c% {0 r2 ~* v4 ?5 ePopulation, 总体
' |/ z+ _ R' f% e1 nPopulation attributable risk, 人群归因危险度
6 V; I' y- d v) |Positive correlation, 正相关
; p) f4 H, e( Y4 F n# iPositively skewed, 正偏! ^' T9 g4 R e8 P2 H8 S
Posterior distribution, 后验分布/ s: {! Q5 _. n5 ?
Power of a test, 检验效能
9 d$ M* A$ S7 DPrecision, 精密度' z% u$ f* F1 |
Predicted value, 预测值) z! y" w$ E( ~/ ^ ^
Preliminary analysis, 预备性分析
& N$ g# l* X6 B) u( q8 k: S$ sPrincipal component analysis, 主成分分析+ v: y: u, t5 e. |! S* C, }& t- f
Prior distribution, 先验分布% `7 d1 ?. U+ L* v! B7 C# W
Prior probability, 先验概率" y+ g( g/ m2 q: o# u& j1 s7 `
Probabilistic model, 概率模型4 N- q4 @3 ~3 O3 y, z1 B
probability, 概率% L6 R) t3 R) h6 O' K9 I0 O3 x
Probability density, 概率密度& t; A/ k+ r2 Q' m) n( q) Q4 u
Product moment, 乘积矩/协方差 M' G9 {7 c6 j1 k5 E
Profile trace, 截面迹图
! t1 c* }, U; q* T( o6 C6 CProportion, 比/构成比
9 |% w6 \9 R% S. @1 H* r. IProportion allocation in stratified random sampling, 按比例分层随机抽样% ~ r; s; x) w' b% k- S
Proportionate, 成比例
, j) b/ p" O+ S }Proportionate sub-class numbers, 成比例次级组含量4 B( w: V! i& m9 v/ ^
Prospective study, 前瞻性调查
/ V, v. B4 u( H& u9 @; V9 fProximities, 亲近性
8 n- S, T0 U) cPseudo F test, 近似F检验
+ P. V& N# j7 @3 I: g8 s9 ~Pseudo model, 近似模型, ]# P* c" F! d1 E# W2 ^
Pseudosigma, 伪标准差
+ y! g: g' X# |# A3 k5 P. LPurposive sampling, 有目的抽样
) J6 t4 ^* n1 b: nQR decomposition, QR分解% y4 ~* J- G0 E3 U- P0 M' |3 V, m
Quadratic approximation, 二次近似
6 g: _* T. J, c' T* I+ ZQualitative classification, 属性分类
: q' o( m" n; j1 d% n1 yQualitative method, 定性方法 e7 O6 [1 O& Z8 Q9 ?
Quantile-quantile plot, 分位数-分位数图/Q-Q图
! R, t5 o' v- v) z. a# iQuantitative analysis, 定量分析1 _0 h _! B8 N) S" G; G
Quartile, 四分位数
! }: R' i2 ?- G' s' V. @8 Y1 RQuick Cluster, 快速聚类+ w4 V* x' U* ?& h' I
Radix sort, 基数排序
, N& |$ k1 _: I2 U3 [Random allocation, 随机化分组# k0 K- e3 v* T! w7 l- V% s0 D# y
Random blocks design, 随机区组设计. ^/ S! o% ~/ j, Z
Random event, 随机事件
, ]/ g, y+ r2 u/ Z0 w- o0 ]0 WRandomization, 随机化 c9 k0 C! F7 g9 |; C7 K1 L) }
Range, 极差/全距- d1 d8 o6 l; j2 A- y8 Q; u1 ]
Rank correlation, 等级相关
/ f3 i0 M G0 X. v' ORank sum test, 秩和检验( C( w+ X2 G4 i) }+ `5 e2 N
Rank test, 秩检验 J6 g! R* q: V/ k: ?! E1 x7 A
Ranked data, 等级资料
- Q1 H2 Y' L* A, a. I5 Y% c, mRate, 比率
9 o! i4 f! f! b% Q4 o2 yRatio, 比例2 y7 u6 v: J' I' `) Y* }
Raw data, 原始资料
+ B; L& F- j) z, hRaw residual, 原始残差
5 h' R9 B5 q4 HRayleigh's test, 雷氏检验
6 b: a9 ~+ M. D% o! g- YRayleigh's Z, 雷氏Z值 ) N1 f# z, C/ A0 h& ^
Reciprocal, 倒数 c( V5 F) M) V1 b+ ]
Reciprocal transformation, 倒数变换) ?, V2 x e' O5 _
Recording, 记录# r2 X$ K* ~2 r
Redescending estimators, 回降估计量
4 [1 [7 _5 ?5 ]3 L' `6 _) yReducing dimensions, 降维+ ~/ T$ }* u% h% f% |4 D
Re-expression, 重新表达
+ x8 |! T( [0 uReference set, 标准组
. _7 d3 V2 V; i( E+ oRegion of acceptance, 接受域7 p6 Y+ N& W; P+ b
Regression coefficient, 回归系数
! u: B! S- U0 ^% |1 eRegression sum of square, 回归平方和. M: S9 [( M/ Y, i1 q7 W
Rejection point, 拒绝点+ o. }! V. _+ f5 d$ D5 ?6 s1 G
Relative dispersion, 相对离散度5 ]" _* B3 | b
Relative number, 相对数
/ \+ w/ ]+ \4 sReliability, 可靠性7 L- K) ]/ |1 @3 b& S2 b
Reparametrization, 重新设置参数
" d' k; O5 d, o) W% L9 ]; |Replication, 重复( I4 N! I; ~1 P7 m
Report Summaries, 报告摘要4 O9 Q, i! n+ S7 x- W
Residual sum of square, 剩余平方和- ~" R7 k+ P. X J4 p
Resistance, 耐抗性7 u9 |6 G9 @/ L3 P3 C( _! l
Resistant line, 耐抗线
1 \) `; [4 b% B! N" U8 zResistant technique, 耐抗技术5 V" `& N ?" m* z$ S
R-estimator of location, 位置R估计量
. c. f! K9 L0 G& o; A$ HR-estimator of scale, 尺度R估计量- d: U" Y" u; D
Retrospective study, 回顾性调查8 S y! g/ ^1 k* |
Ridge trace, 岭迹
0 [( k1 G5 ~: s; ?* d3 J6 tRidit analysis, Ridit分析
* e1 ]$ [2 D1 ^$ Q! V) NRotation, 旋转
9 t0 Z0 ^8 `7 TRounding, 舍入
( s4 A7 H9 ~: ^+ C C \4 @Row, 行
# ^! K" m1 ~% |, @% ZRow effects, 行效应/ D0 l, Y0 R4 K7 s' i" ~) r
Row factor, 行因素
; _* @* x* W4 D+ z8 uRXC table, RXC表6 H: q) S+ J; D8 w& I! h. n2 {# ^
Sample, 样本8 o- A3 D: C( x' X" W2 O7 q
Sample regression coefficient, 样本回归系数9 V; c1 \3 W. w/ [0 h
Sample size, 样本量5 a8 R/ o6 _$ s( Q
Sample standard deviation, 样本标准差
. |% {7 u% D! d% e eSampling error, 抽样误差
1 x! G- s2 `: H% }/ FSAS(Statistical analysis system ), SAS统计软件包- u6 p- ^4 j9 \% c% h! @8 U
Scale, 尺度/量表
! {; ~* L6 l4 Z6 j0 _7 KScatter diagram, 散点图+ X8 c7 u3 z, e6 k
Schematic plot, 示意图/简图
; x5 k7 P5 z9 ?3 ZScore test, 计分检验* d0 B* ^ \- U7 ^/ Y# s
Screening, 筛检5 W; v2 i3 N* N' A* F. ^
SEASON, 季节分析 3 X# T! h8 A5 O2 ]* L
Second derivative, 二阶导数
' c% U# l: R4 `0 H" LSecond principal component, 第二主成分/ I3 H, ~' m y
SEM (Structural equation modeling), 结构化方程模型 ! T* u! Q2 w- d$ ~* R
Semi-logarithmic graph, 半对数图
! A- q4 A" r* XSemi-logarithmic paper, 半对数格纸3 p3 L6 d% i- M3 ~
Sensitivity curve, 敏感度曲线
/ H6 a* H: M5 \0 @ x$ OSequential analysis, 贯序分析" T. b6 q$ t) [- x! z
Sequential data set, 顺序数据集
! }% P3 u6 ^/ _/ ZSequential design, 贯序设计
: W& ^: l* d$ D# f- ?Sequential method, 贯序法
1 ~4 x0 k2 a3 a6 y' E+ l' fSequential test, 贯序检验法
( v! @* T1 w: S* M1 n+ }6 y( ?- HSerial tests, 系列试验
4 ~$ L! B. e: b3 g: [7 P, i( SShort-cut method, 简捷法 2 W& Y3 Q' u1 Y
Sigmoid curve, S形曲线2 O4 f; K6 _5 t% E( m0 O' f2 [
Sign function, 正负号函数+ T( h5 J% [- W& j. \. O
Sign test, 符号检验1 Y ]* p; F4 |- I! i) U4 H
Signed rank, 符号秩
& l$ d L! j4 H6 \0 WSignificance test, 显著性检验4 L3 R; l6 r6 J& I+ | S
Significant figure, 有效数字3 v! x4 J8 }/ J
Simple cluster sampling, 简单整群抽样 A) f# d" _) }( ] T
Simple correlation, 简单相关! H/ M) x4 F _% V
Simple random sampling, 简单随机抽样# S& B: A- C7 c A4 L3 P' S, f
Simple regression, 简单回归
$ |1 X/ O! V) u7 Z4 [6 x; \& B! [simple table, 简单表
, P& E3 A2 [% X- ?, k3 z7 dSine estimator, 正弦估计量
]( U! q, Z# v! I+ x6 JSingle-valued estimate, 单值估计' o; f: |) ` c# r% G
Singular matrix, 奇异矩阵+ Q2 |1 q1 O% y4 O- a" [* k
Skewed distribution, 偏斜分布
3 X4 _! b& z2 c) rSkewness, 偏度
L6 S2 [' c) E2 M& e: |# R8 S3 LSlash distribution, 斜线分布
5 I4 M9 s2 v) M" Z) i- w5 b& v; c9 hSlope, 斜率
( f# u' Y! \, B oSmirnov test, 斯米尔诺夫检验
6 ^8 [9 G3 B7 U% T/ k: ]Source of variation, 变异来源9 n" |1 j5 v/ f ^+ f8 Z
Spearman rank correlation, 斯皮尔曼等级相关1 F3 v$ E- Z/ F) b0 A/ b
Specific factor, 特殊因子
. o m" r: x9 i+ B/ j4 nSpecific factor variance, 特殊因子方差, k2 e7 n# b1 o3 l& C1 o8 G1 ?5 H$ I
Spectra , 频谱" D$ @' A( l" N. S
Spherical distribution, 球型正态分布: S; r0 E7 i$ R. t# G
Spread, 展布$ {, `" Q O. D9 C
SPSS(Statistical package for the social science), SPSS统计软件包7 [+ k) h( `2 b; h
Spurious correlation, 假性相关
/ z3 d- a: a ~* ?Square root transformation, 平方根变换. N' i) n4 H; _( @* X/ W
Stabilizing variance, 稳定方差- C' s# u3 C( R$ u' h) S% i" z5 u8 M; b
Standard deviation, 标准差
9 l; s/ {: m- @1 n" BStandard error, 标准误9 w0 f0 n5 r0 ~4 S/ ` `: v1 b
Standard error of difference, 差别的标准误
/ M5 u5 }7 a* ^/ }5 qStandard error of estimate, 标准估计误差0 m% d+ G: `7 y P( s: {/ X
Standard error of rate, 率的标准误, J3 I2 B* z9 ]( @& ^2 L
Standard normal distribution, 标准正态分布% M5 K# r, T& g/ R
Standardization, 标准化
- i2 A: Z, N4 V( v, B4 l( OStarting value, 起始值
& C& U: M( k$ b, x5 p# B! sStatistic, 统计量3 c0 ~8 H5 Y1 @+ G. T
Statistical control, 统计控制
# N* c# i1 G5 V" `6 ]Statistical graph, 统计图; i9 O* s8 ^; H3 A0 P" o/ z3 ?0 I) B9 V
Statistical inference, 统计推断/ q( T4 K ^3 J' _3 f. Y) z Z" Q" F
Statistical table, 统计表
* b/ ~1 D" q* o6 d; B& U* aSteepest descent, 最速下降法
H# W; a6 G* j8 k$ }% rStem and leaf display, 茎叶图$ @5 ^* p4 X% `: _' v
Step factor, 步长因子% P, a& g3 P3 r4 D8 L, w# _
Stepwise regression, 逐步回归7 m t! g, {' `! i' L3 n4 E
Storage, 存( i# m2 \ E5 o) P" o; a7 [
Strata, 层（复数）
4 T4 V$ n- i" H0 T' t- {9 |/ h2 BStratified sampling, 分层抽样0 Q' o; c) X. i
Stratified sampling, 分层抽样; E& \! e5 l O' w" J6 `
Strength, 强度
6 D" O7 I* C: H5 P. \Stringency, 严密性
/ z& k5 Y6 W2 `1 zStructural relationship, 结构关系3 t' F9 x% v. g1 X8 t2 r( l$ a( F
Studentized residual, 学生化残差/t化残差/ d: C+ F. k( a2 {1 _ n2 U0 c3 F: U" h
Sub-class numbers, 次级组含量: y2 D6 C$ ^( Z9 N! D
Subdividing, 分割
/ P( X# F, L+ C1 ~% W; m: kSufficient statistic, 充分统计量/ T% P; v1 m+ D2 M, i0 q1 @6 Z
Sum of products, 积和
3 D! f2 p) o2 e F ~4 b/ P6 OSum of squares, 离差平方和
: v' s- n" a* O/ Q- `Sum of squares about regression, 回归平方和
* i) ~& M$ J2 D1 OSum of squares between groups, 组间平方和1 n6 N8 S$ d9 m6 J( Z
Sum of squares of partial regression, 偏回归平方和% B. g8 I( W ^' L. a7 n
Sure event, 必然事件0 t8 u. v4 Y5 M0 ^
Survey, 调查% [6 k5 ~3 r. K9 ]/ Y3 @7 r r
Survival, 生存分析+ j5 a4 C$ k: r, U/ K: _, J
Survival rate, 生存率4 v$ @( A; w! s/ i5 a( A, } z$ C
Suspended root gram, 悬吊根图
, N, z1 e% B' PSymmetry, 对称
) f5 W( _3 s. F, g" cSystematic error, 系统误差
( ^3 S% `+ X6 J; P h5 l1 v- |Systematic sampling, 系统抽样
0 b+ }" _* B2 I) s3 N3 FTags, 标签! p3 ?4 H9 @ K/ P' D
Tail area, 尾部面积
, t( D! U6 Q. W( d* t0 d ATail length, 尾长* v, S5 V' C8 B, T- C3 O5 O9 V
Tail weight, 尾重
4 d: f7 w) ^( qTangent line, 切线
- k+ G; v) P% `7 dTarget distribution, 目标分布
/ r5 r& `" S! `2 v$ I# xTaylor series, 泰勒级数
5 s* K7 i- u/ g% GTendency of dispersion, 离散趋势& D2 g& c2 v7 R" ], c% P
Testing of hypotheses, 假设检验
! T/ E0 C4 [+ q. c( W4 aTheoretical frequency, 理论频数
# T4 O3 J2 i# I8 CTime series, 时间序列+ a3 F- u+ b1 p" s* V8 B
Tolerance interval, 容忍区间
/ k/ @, ~2 ?/ {5 S2 `$ L) }Tolerance lower limit, 容忍下限
8 v+ E. s- \, c$ I# T- k2 tTolerance upper limit, 容忍上限/ }- C4 X0 \ O+ R1 {
Torsion, 扰率% D8 i! z# P% l( \& `1 w
Total sum of square, 总平方和
2 h( a' U0 s( _+ z& XTotal variation, 总变异* S9 M, c; I% J% @. `2 M
Transformation, 转换( i0 e/ q9 N9 p @
Treatment, 处理
0 T) P) D# X# ^' xTrend, 趋势9 t, g' k1 K. ?
Trend of percentage, 百分比趋势9 V1 A0 Q* p: }8 u
Trial, 试验
. `+ g- N+ e( S) m1 c9 UTrial and error method, 试错法
! U7 Y; N; u# K# U4 l/ {Tuning constant, 细调常数/ ?+ n" t i6 R/ s) t6 C; A
Two sided test, 双向检验9 a# i+ f/ A! R8 m3 {, m8 z
Two-stage least squares, 二阶最小平方
2 v, |3 K% h+ ]) t. G9 ^% B) [Two-stage sampling, 二阶段抽样6 i% k I" K0 B3 P
Two-tailed test, 双侧检验
7 T( @) ?8 ]! g9 ~Two-way analysis of variance, 双因素方差分析8 j- I( U1 a0 B9 U: n v* `
Two-way table, 双向表* S$ x6 i1 M& |% {9 e9 H) E
Type I error, 一类错误/α错误
( B8 n) ~( p# i/ m8 r6 sType II error, 二类错误/β错误
4 A, m8 @/ A9 i+ }UMVU, 方差一致最小无偏估计简称8 b, X) C8 c2 [ ]
Unbiased estimate, 无偏估计
6 m7 X$ W5 N; bUnconstrained nonlinear regression , 无约束非线性回归4 q; J( O$ \; w; g. L
Unequal subclass number, 不等次级组含量
6 b$ S) T- i7 ]0 t8 a$ C- IUngrouped data, 不分组资料
) U1 }4 G0 g: m. _( |Uniform coordinate, 均匀坐标8 m+ l# W6 i; v
Uniform distribution, 均匀分布
% q C9 _( N( x3 {Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计, ~. [. C" \/ ]: l
Unit, 单元* d% X3 l* a8 \8 Q4 E
Unordered categories, 无序分类% m! V/ p% V) q' n: p& b
Upper limit, 上限 P& \: ?. ?8 z+ O g4 ]$ j
Upward rank, 升秩) Q8 w5 H/ G; d6 v% u1 R% {* N
Vague concept, 模糊概念* }# X3 M, m7 C# [( f( x
Validity, 有效性
6 S3 U6 R* X+ x+ t& j& `5 mVARCOMP (Variance component estimation), 方差元素估计
5 o8 n9 {0 s" mVariability, 变异性
3 I/ W$ L _4 |2 q0 X& TVariable, 变量1 a/ S w$ W+ X0 k1 b
Variance, 方差- f( I7 p! [' B1 H* s& {% e
Variation, 变异
& M- \1 J' Q( ^8 [Varimax orthogonal rotation, 方差最大正交旋转7 T/ @# [' l; C
Volume of distribution, 容积
" P& V% \% W: O2 O4 ^" Z9 YW test, W检验$ T; x" `" k+ L+ P# Z
Weibull distribution, 威布尔分布
- j6 O" i4 j' J/ IWeight, 权数; B3 n* X8 [) Z& z4 n2 o3 h
Weighted Chi-square test, 加权卡方检验/Cochran检验
- u- d9 e$ {% x8 gWeighted linear regression method, 加权直线回归* J2 L' S9 V9 Z
Weighted mean, 加权平均数+ e$ Z& c6 |7 _, F8 d2 Y
Weighted mean square, 加权平均方差
9 q+ H$ k9 D! s7 o6 U) \& g/ W9 eWeighted sum of square, 加权平方和# V3 s) C" D& Y- b$ g7 ]) k: o
Weighting coefficient, 权重系数/ _9 L* @1 s8 [# i4 O7 w
Weighting method, 加权法
2 B3 T1 U% F" o; D4 V7 fW-estimation, W估计量$ c$ ^; n" i9 Y5 Z; d C
W-estimation of location, 位置W估计量
; b2 Z. y, u/ Y6 M) ~7 _2 Z* UWidth, 宽度* b: n9 x; L2 s: C: r
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验6 F2 F9 p- ~, C" v/ Y6 [
Wild point, 野点/狂点2 |4 o4 F8 A0 X
Wild value, 野值/狂值
9 R% S+ F, H0 NWinsorized mean, 缩尾均值; e; C) _- }. ^9 q0 @6 E4 [; {
Withdraw, 失访 ; W- t) w6 e m2 [/ t" o# `$ T
Youden's index, 尤登指数. S b9 ?. u6 X p/ W, p) R! f) E
Z test, Z检验6 K" k% T9 i. n% w/ t* r; q% |
Zero correlation, 零相关
9 J: ?4 ?) k' K$ ~0 D+ @3 w3 S' fZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
