|
|
Absolute deviation, 绝对离差$ E- I/ S* L( s
Absolute number, 绝对数$ @5 n7 j/ r; k! f% T; q/ q# I# A
Absolute residuals, 绝对残差1 r( s( X+ e& ]' _1 r4 Q
Acceleration array, 加速度立体阵* H8 \) M/ p5 a: ]4 a7 B
Acceleration in an arbitrary direction, 任意方向上的加速度
$ V$ L7 I, _4 P6 ZAcceleration normal, 法向加速度# z8 H7 a( P/ n7 [& m
Acceleration space dimension, 加速度空间的维数5 Q9 v" y. ^/ ]( P/ l# c+ o& C* n
Acceleration tangential, 切向加速度4 x4 @/ K# I' ?9 l# z
Acceleration vector, 加速度向量
D" S: R# {) I' o2 d5 \Acceptable hypothesis, 可接受假设6 M- l* n* ~- J# S5 `5 w
Accumulation, 累积 c4 F7 B& _, l/ j
Accuracy, 准确度
% C8 e7 w% F8 o* B0 EActual frequency, 实际频数
% y4 W ?. {2 ?$ ~4 k) m& RAdaptive estimator, 自适应估计量# _, M' ^6 Y( L5 C/ i; D
Addition, 相加0 P, b0 K7 W1 q0 j
Addition theorem, 加法定理
# Q: {' O, P! Z/ A8 h6 M/ X9 EAdditivity, 可加性
6 h6 J6 I' s: U: f8 n& iAdjusted rate, 调整率
% F* y! o+ n! g+ }Adjusted value, 校正值! C# h. j% T3 H. F$ H
Admissible error, 容许误差3 B2 T. D3 Y! u5 g
Aggregation, 聚集性
6 D6 i- y) H4 ^ kAlternative hypothesis, 备择假设+ c7 \' Q% G" f7 N! v4 g
Among groups, 组间. D- g9 q# C7 ~- c' ?0 p6 n C
Amounts, 总量
0 Q3 h2 y4 q, |Analysis of correlation, 相关分析
% ]0 l0 a! C) ?( [' AAnalysis of covariance, 协方差分析
# |& M8 d$ C0 bAnalysis of regression, 回归分析
9 d6 ~, i0 `) {: \Analysis of time series, 时间序列分析
; c: m' b" o7 @# H6 f- x5 mAnalysis of variance, 方差分析' r8 g' n+ w8 ?( G* P
Angular transformation, 角转换
7 A v2 H, L0 I hANOVA （analysis of variance）, 方差分析, T3 e7 Y7 x+ D9 a% ^6 z1 Z2 O
ANOVA Models, 方差分析模型
, C( w/ H5 k1 B9 `6 s# O# kArcing, 弧/弧旋
$ B$ e* ]0 ~# j* m& @2 vArcsine transformation, 反正弦变换6 e5 ~( V0 E% S1 [
Area under the curve, 曲线面积
4 j5 b% H, x& K. n& y! l& I" fAREG , 评估从一个时间点到下一个时间点回归相关时的误差 & s- m4 w! S( M; s% [$ [
ARIMA, 季节和非季节性单变量模型的极大似然估计 5 A; u8 @! j8 g1 X1 N
Arithmetic grid paper, 算术格纸) @% n2 E7 m! j, F4 M1 O! n. U
Arithmetic mean, 算术平均数
, s0 D+ ~3 V, A/ ~( DArrhenius relation, 艾恩尼斯关系
2 t/ D' H# ~% n4 x% E0 ?9 U2 k% O8 VAssessing fit, 拟合的评估, A. S* M, O( x* \6 y
Associative laws, 结合律 H; ~2 t1 I) R& \2 s `7 y* `4 b
Asymmetric distribution, 非对称分布" D% p4 ~5 _- [9 B
Asymptotic bias, 渐近偏倚
; h/ A1 ]6 P. `# L2 uAsymptotic efficiency, 渐近效率9 z- `; T- g* V
Asymptotic variance, 渐近方差. ~% i( t; W* B0 U
Attributable risk, 归因危险度
( G0 e3 S% _! m- f$ X0 z( v% Q! TAttribute data, 属性资料# W) B1 `' f1 E+ S6 k
Attribution, 属性% @0 n- _4 B- V9 u* n9 @
Autocorrelation, 自相关0 u# X7 A: H1 V+ y4 i
Autocorrelation of residuals, 残差的自相关
& a/ a! D: D* i2 g5 l! XAverage, 平均数
9 u7 U6 F: D1 W5 Q8 qAverage confidence interval length, 平均置信区间长度; _7 b7 N, u) p8 f5 X
Average growth rate, 平均增长率6 g* K% V; k7 h* v
Bar chart, 条形图, Y7 H! J N/ s$ A$ w
Bar graph, 条形图3 l2 U. d1 y4 p4 A
Base period, 基期
& W5 p7 N5 V# {) |% H6 z8 HBayes' theorem , Bayes定理1 a% K' f7 u$ O, ~/ ~6 e
Bell-shaped curve, 钟形曲线) X% J1 R I# a6 D; e a
Bernoulli distribution, 伯努力分布; g% q/ r8 h1 `
Best-trim estimator, 最好切尾估计量/ J4 M( r3 R: e0 L( X
Bias, 偏性
: d: b3 x! @% A3 KBinary logistic regression, 二元逻辑斯蒂回归
2 c* x" j l1 j3 w1 N/ N$ XBinomial distribution, 二项分布$ v0 l( w4 E$ F1 D% Q2 g/ i+ ^+ n: T
Bisquare, 双平方8 R, B5 U; R' w+ F. P
Bivariate Correlate, 二变量相关
0 x# r! ]% h( @8 Q5 {2 u8 f2 RBivariate normal distribution, 双变量正态分布
5 _: Z P6 w" kBivariate normal population, 双变量正态总体
& w. ?! Y% g t: i% E. W2 [Biweight interval, 双权区间: c3 v/ ]; k, j5 Y
Biweight M-estimator, 双权M估计量
5 V0 C. [% i& ]. BBlock, 区组/配伍组
' M# X4 \. p F9 c. mBMDP(Biomedical computer programs), BMDP统计软件包5 @! y4 ?8 Z7 L U5 x' Q( K5 C0 N
Boxplots, 箱线图/箱尾图
8 ^/ c2 q b! A1 H, \$ n# cBreakdown bound, 崩溃界/崩溃点
Y% l) T9 m2 S+ gCanonical correlation, 典型相关/ z2 O) L( u/ Z+ i- N. [4 z; @
Caption, 纵标目% Z3 f* o' @; L/ x5 X
Case-control study, 病例对照研究
. W6 f C$ E( j+ N! S& s9 vCategorical variable, 分类变量) F- I' J; W$ t/ a
Catenary, 悬链线. C( Z( ~ I$ O
Cauchy distribution, 柯西分布
% f! V2 t! D- G. nCause-and-effect relationship, 因果关系
$ F, }) O" g; p0 h ?Cell, 单元9 _+ U0 h L V
Censoring, 终检- `9 b |# U& T( x4 D$ y
Center of symmetry, 对称中心
7 B: n$ t% l9 oCentering and scaling, 中心化和定标
# u! u& ~ p7 A" b5 Y8 q1 b4 oCentral tendency, 集中趋势
; U/ c. p% M3 m* W$ `/ BCentral value, 中心值
& }1 D7 O6 Z Z* R- NCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测# t6 G7 r: C. E: _% ?
Chance, 机遇
, F- {8 B/ R9 s' d5 q) jChance error, 随机误差$ p I2 e0 I; m4 U
Chance variable, 随机变量$ |" G+ L I1 @6 a; \
Characteristic equation, 特征方程1 t/ s$ K- q. [) H, J# T! i
Characteristic root, 特征根" w) O( E" h+ |% m. ^, r/ o
Characteristic vector, 特征向量
3 G+ I' U) w8 h! p/ z: I5 }Chebshev criterion of fit, 拟合的切比雪夫准则( C0 o P1 D! h( g% Z2 w( r
Chernoff faces, 切尔诺夫脸谱图
5 r3 N5 a% x( o+ U, kChi-square test, 卡方检验/χ2检验' X8 T' v% [& j& @6 o9 R
Choleskey decomposition, 乔洛斯基分解
3 w- ?/ d% {2 E) @7 Y) oCircle chart, 圆图 * P6 D( Z! O. r- R3 ^' B# Z8 r% f6 |
Class interval, 组距
" T2 E9 ?$ L. R% h: ~6 K" `6 iClass mid-value, 组中值, E6 I1 V# U9 W4 S2 h8 x6 Z
Class upper limit, 组上限
/ I4 f+ }6 w' ?( G0 D$ k% @6 q5 U4 rClassified variable, 分类变量( A, T. O% m, F; ^% }+ d/ {
Cluster analysis, 聚类分析
& Q6 [0 ~ t/ d8 P& ZCluster sampling, 整群抽样. O H' _( v& o' j, X# |
Code, 代码
9 g6 \1 Y F" W$ M% W0 GCoded data, 编码数据& g1 {- J) Z9 u( B- \6 U! {% ~5 G
Coding, 编码 R) W5 [8 A% ?: p
Coefficient of contingency, 列联系数
; d; s' L9 U" H; h8 YCoefficient of determination, 决定系数
5 ^# i5 W# u# n( fCoefficient of multiple correlation, 多重相关系数3 F7 c# i' ]9 ~2 N+ E
Coefficient of partial correlation, 偏相关系数% b! F V5 O) J% P- y
Coefficient of production-moment correlation, 积差相关系数
: U) h# {- p' o( dCoefficient of rank correlation, 等级相关系数* j" ]! f1 {& K5 Q) y7 |8 U& O4 Y
Coefficient of regression, 回归系数
1 B% n2 @* [! C+ ICoefficient of skewness, 偏度系数" ^# ?6 m6 i6 V, ?6 l
Coefficient of variation, 变异系数
7 {/ |, z( H: ]7 f. ]Cohort study, 队列研究- o) Q* m0 Z0 m) @, a
Column, 列
& }8 c' j0 U/ |2 @* r" OColumn effect, 列效应% L: b: f6 Y; q+ T
Column factor, 列因素
+ L/ `. v# f5 XCombination pool, 合并
" X$ z! ~! O- u: N, s& U1 wCombinative table, 组合表% q }0 A6 X; w! e
Common factor, 共性因子/ o& Y2 b0 n$ p
Common regression coefficient, 公共回归系数* @! H I. Y1 x! ]* z- w
Common value, 共同值
$ w1 |+ g% W- NCommon variance, 公共方差' Q! K7 m# H" f( |0 _
Common variation, 公共变异2 I1 P/ N* L3 I" O4 g, p+ n
Communality variance, 共性方差
9 }7 v: q# s. R9 ]' v9 N6 HComparability, 可比性
4 }* e" t7 t7 yComparison of bathes, 批比较: M) |( }4 B3 Y0 k, S
Comparison value, 比较值
; }. ?1 t/ f6 `$ ?1 z/ U& A- M1 {Compartment model, 分部模型
9 Q U/ _+ m b$ \# z2 y, sCompassion, 伸缩
7 U1 L, {2 T. ZComplement of an event, 补事件" _$ k, O* i7 B/ d9 T! V
Complete association, 完全正相关: L( V/ U1 Q3 j0 G' m% ]- d
Complete dissociation, 完全不相关" N2 a" K2 r2 o& b; H/ L
Complete statistics, 完备统计量
& `! H1 M' ^5 I D( w6 [Completely randomized design, 完全随机化设计
) m/ p _; U9 fComposite event, 联合事件
* \; t9 a( {: m4 |Composite events, 复合事件
0 ^' |' H) R5 j6 y4 s$ x( P5 FConcavity, 凹性
2 x& [! q" w' m$ tConditional expectation, 条件期望+ R5 F. C! f# S- V
Conditional likelihood, 条件似然
% Q" \/ z% Z7 D6 b7 ^: ?Conditional probability, 条件概率$ u$ A% T% ~8 \: i: t
Conditionally linear, 依条件线性5 R! Z9 |3 O2 Z+ D' D, V- b" ^
Confidence interval, 置信区间
- r. h S: m) ^4 Y1 k' A! P$ Q5 wConfidence limit, 置信限3 b9 e+ Y& E9 g Z
Confidence lower limit, 置信下限4 F7 t: E4 N# a7 ]8 l
Confidence upper limit, 置信上限
' r* J3 i7 A# f BConfirmatory Factor Analysis , 验证性因子分析 Z( z% Z; _9 g3 @' c2 T4 l; D
Confirmatory research, 证实性实验研究 D+ y! w. p( C7 s8 U. [
Confounding factor, 混杂因素
" O5 o: b% G, yConjoint, 联合分析
. N% w+ J, G0 lConsistency, 相合性# V' [- J: k8 ]& b1 R& _# ^
Consistency check, 一致性检验6 A/ Q) h" @5 e% |& q+ N
Consistent asymptotically normal estimate, 相合渐近正态估计3 e9 T# @0 k: B2 z
Consistent estimate, 相合估计# D6 X- |9 W+ e8 V+ o
Constrained nonlinear regression, 受约束非线性回归
* u1 \: S( m. }7 W7 g$ `/ DConstraint, 约束2 [' h, l* l/ k. _
Contaminated distribution, 污染分布
; E9 ^: j6 B9 H+ N# h3 w/ zContaminated Gausssian, 污染高斯分布3 n8 B' i/ _* W+ _9 k/ B
Contaminated normal distribution, 污染正态分布+ @0 N& M8 X* e2 D$ |' [) K5 K
Contamination, 污染
+ e0 @2 h: n) g( J3 t1 v6 iContamination model, 污染模型
. T& v% V! O2 t; c; }9 xContingency table, 列联表4 m9 e: N% g, t
Contour, 边界线' @1 g" {. D/ l# }( Z6 j
Contribution rate, 贡献率6 x- ?, d( ?% N
Control, 对照4 j5 ?) K" s5 Z
Controlled experiments, 对照实验
3 N9 r9 P) { V u4 I2 KConventional depth, 常规深度
, y }7 L& n2 L+ |% l% lConvolution, 卷积& ^/ c* T* j j
Corrected factor, 校正因子6 [+ J# \: h+ k$ M* N
Corrected mean, 校正均值, J7 x# Q' M* `+ V: d( }6 W* w
Correction coefficient, 校正系数
* j9 ?% t C: E7 T1 [3 o/ K( D7 ECorrectness, 正确性4 J* v- H: W. z
Correlation coefficient, 相关系数
" W, y. b) R) xCorrelation index, 相关指数2 q' F! J4 _0 A9 _
Correspondence, 对应) P+ r# ~2 l n7 K$ H. U
Counting, 计数) i6 u3 ]) r, d! S/ e
Counts, 计数/频数
\& I+ I5 ]- S; u7 UCovariance, 协方差4 b; i) M) o* l2 } z! w7 e9 \+ K
Covariant, 共变
* I/ L+ B$ I9 R4 S- H9 ICox Regression, Cox回归
& |# J1 J6 P# }! uCriteria for fitting, 拟合准则2 S; b; g7 [3 e" I- i
Criteria of least squares, 最小二乘准则7 [; h! |, {! r& R! _8 ]
Critical ratio, 临界比
( T0 E+ t1 H0 U/ m) JCritical region, 拒绝域
( R) m; D, K" JCritical value, 临界值
( }4 |8 L2 P! o. oCross-over design, 交叉设计* F3 h2 n3 _) X! M2 ~3 z
Cross-section analysis, 横断面分析: D: O. B8 `4 G% [4 E
Cross-section survey, 横断面调查$ T1 q9 Q# r0 V
Crosstabs , 交叉表 % n4 S: M: \3 p1 N) l
Cross-tabulation table, 复合表/ {* L# y+ {, i2 {1 k: ]8 ~5 U, T: T
Cube root, 立方根
% d% b8 a9 t4 M0 K# |Cumulative distribution function, 分布函数" F9 J6 x! ]9 X8 ~# ]$ V
Cumulative probability, 累计概率
& A5 { l& `, q4 z' c. F# FCurvature, 曲率/弯曲
9 Q7 p7 D. k3 Q5 _* Q B) RCurvature, 曲率
* B: t/ C2 F! n0 H |1 x' {: iCurve fit , 曲线拟和 % f. a7 ` x' Y3 C
Curve fitting, 曲线拟合
' z; ?- I$ A0 T3 b, WCurvilinear regression, 曲线回归1 i& K) D6 c- U/ o8 f- t
Curvilinear relation, 曲线关系$ t+ y7 n4 K/ C: E/ o; _3 v
Cut-and-try method, 尝试法
3 S. k1 ~8 c( ^( H2 kCycle, 周期+ Z' L3 i/ c" R. M! g+ A* r
Cyclist, 周期性
' m( ^/ M& @% x! R% [: O9 o3 C9 ]: P, E, aD test, D检验' a: p" G S# H% d$ p. G9 }$ b
Data acquisition, 资料收集
; B! M! M, ?! C8 \" aData bank, 数据库5 @$ v" u9 S) D9 |, A6 n7 i1 G$ Y+ f
Data capacity, 数据容量
) c/ F# z( ?8 ~+ K7 OData deficiencies, 数据缺乏
. k+ n5 X( i" @( I& X8 Y B6 xData handling, 数据处理& |- p, z% ?8 ^+ C( V
Data manipulation, 数据处理
! B' ]5 t6 I4 w, wData processing, 数据处理+ @; S4 O% S& P, i5 q9 g8 W
Data reduction, 数据缩减
# ^0 V, p1 Q: iData set, 数据集+ d' w% ]8 M3 k! C/ ?
Data sources, 数据来源* I& \) y2 z7 V5 J7 F
Data transformation, 数据变换7 y7 S1 l$ ?6 O% [! U5 j* p
Data validity, 数据有效性
: y, i6 L% n9 e+ x' `1 q Y8 dData-in, 数据输入
4 q% v5 K' b' w( }: G0 QData-out, 数据输出
2 @! `# i7 Z) [Dead time, 停滞期
, }/ N3 v" \: v m4 M/ _! kDegree of freedom, 自由度
- F* n0 \6 c: s0 Y7 C& QDegree of precision, 精密度6 d, {0 V: D, G0 b* U
Degree of reliability, 可靠性程度: t$ p$ A6 @$ z& W+ V: w
Degression, 递减
; C& M& Z- o5 o( pDensity function, 密度函数8 G' Z0 g7 r f/ }
Density of data points, 数据点的密度
; N, d3 z7 l0 C' G+ ]4 vDependent variable, 应变量/依变量/因变量
" {1 P3 k. O! [1 P* QDependent variable, 因变量+ k; \0 R7 O" j
Depth, 深度
6 ^1 Y& K4 E: j$ y) \Derivative matrix, 导数矩阵' `# }" d$ G8 d* B6 [5 A9 E
Derivative-free methods, 无导数方法
; n% j* G% }% F! w% G6 lDesign, 设计 w# `2 ^& R2 F$ p: ~' H& `0 l
Determinacy, 确定性! }$ a6 ?" o( \( T6 F
Determinant, 行列式$ F, m& U& u/ }2 f
Determinant, 决定因素8 a% p; I0 w1 G7 q' |+ C5 T
Deviation, 离差8 j w* D; |7 n
Deviation from average, 离均差
% {0 { T9 a, VDiagnostic plot, 诊断图4 v a ^% E m% A1 V; C- h
Dichotomous variable, 二分变量
$ g. U1 b7 I9 T3 s9 EDifferential equation, 微分方程
: C: V/ Y1 B5 D: @6 c( tDirect standardization, 直接标准化法$ b4 {0 U& x7 n+ ~7 E* F
Discrete variable, 离散型变量
3 v- _$ s6 X+ UDISCRIMINANT, 判断 5 `* d. s, C0 x( e8 {+ c# K
Discriminant analysis, 判别分析/ n8 k8 u3 _5 H. E3 u5 O" c
Discriminant coefficient, 判别系数7 P; {, w @. J% ^, `. g0 ^/ n
Discriminant function, 判别值
( A6 J; h6 E; L: p0 ^; rDispersion, 散布/分散度) T) \# q7 k1 x# o7 O
Disproportional, 不成比例的2 X& I) r! a3 x0 u$ S
Disproportionate sub-class numbers, 不成比例次级组含量, ~# ]& e2 l* O7 z% X
Distribution free, 分布无关性/免分布
& r5 u5 N: J6 a$ r8 ]Distribution shape, 分布形状
5 B: }5 s R- _; {# W0 K2 GDistribution-free method, 任意分布法* R3 P- l2 z8 H2 r6 C
Distributive laws, 分配律2 L& q i, K+ E2 _: ]: ~ w
Disturbance, 随机扰动项, _# I1 ~. M" d; M% l/ v
Dose response curve, 剂量反应曲线6 { b/ e( A1 u5 u8 d
Double blind method, 双盲法1 v: ]# m5 Y3 t% E+ w: ]
Double blind trial, 双盲试验
\" N. A& U& Z5 S: bDouble exponential distribution, 双指数分布; E. h0 X# ? i: W# {+ Y
Double logarithmic, 双对数
, N% q" U7 I0 e. X6 DDownward rank, 降秩! x. I: `. _. Z8 a
Dual-space plot, 对偶空间图
9 a/ b' |; L% BDUD, 无导数方法! V* s, ]" a' \% {) ^( ~
Duncan's new multiple range method, 新复极差法/Duncan新法
k3 X3 U( L8 D. v7 m5 tEffect, 实验效应
5 m0 G$ g' U. K3 F# GEigenvalue, 特征值; R- l5 X6 D/ ?0 `& H- ~ Z' H8 S
Eigenvector, 特征向量7 @5 e* _) {6 H, m1 [* ?
Ellipse, 椭圆0 ]6 m* q/ P4 u
Empirical distribution, 经验分布% z m6 u' V* G& x$ e' |! S+ M6 _
Empirical probability, 经验概率单位
( H0 k: x- p2 \Enumeration data, 计数资料
# Q" S4 s7 D) S5 J6 e. u; W: A$ HEqual sun-class number, 相等次级组含量+ u" [" ~9 c7 N4 A
Equally likely, 等可能
/ }- c0 v" D3 t/ s7 M% iEquivariance, 同变性. A2 F- }; q+ x8 h0 i3 k" D- O
Error, 误差/错误
6 R- D, O( [& |4 b/ F5 o+ j) y8 `Error of estimate, 估计误差- V- f# ~% w, F4 ]( |0 u0 |% `; ?
Error type I, 第一类错误
4 ?$ p# x- e' g# F9 q$ S$ \Error type II, 第二类错误
# f' ~+ h6 F8 PEstimand, 被估量; B. F: L8 P+ b2 \! G' Y8 n/ f
Estimated error mean squares, 估计误差均方7 b8 g4 k% T$ M, B3 m! \" W" t1 N
Estimated error sum of squares, 估计误差平方和% \9 F- I# H% q& }
Euclidean distance, 欧式距离
7 ~8 i. Q! Y8 h3 G' y& FEvent, 事件
" u/ z9 P+ D5 |$ I7 FEvent, 事件
( V; m- B7 A6 @! S* h8 S6 r jExceptional data point, 异常数据点
" g3 C! g+ E/ e4 ]0 O0 UExpectation plane, 期望平面3 j9 F/ z0 M/ l* m: D# F& ]/ }; E
Expectation surface, 期望曲面
4 g) h. w+ f/ f& c- k+ ]* [Expected values, 期望值
" ?8 M/ w0 H |, CExperiment, 实验
: T+ x2 d0 b& o1 K3 CExperimental sampling, 试验抽样9 J J, g, A8 ^3 e
Experimental unit, 试验单位3 c. s; q+ D+ R; R' M9 ?* a; n
Explanatory variable, 说明变量6 u9 ?- ]; c1 w- X
Exploratory data analysis, 探索性数据分析
, `' @$ T" m2 y' l% m1 ?9 u: n( R8 VExplore Summarize, 探索-摘要6 r! G6 A! f0 G7 _2 k7 P
Exponential curve, 指数曲线. X% \# C1 x7 [! s N1 G/ p
Exponential growth, 指数式增长
/ [! B& p) t5 N! PEXSMOOTH, 指数平滑方法
- W( M+ i: g; V0 m @Extended fit, 扩充拟合& h& F/ V+ W+ V6 V" \
Extra parameter, 附加参数/ J! C6 o$ @, a2 A3 k! N
Extrapolation, 外推法! j. X2 ?; O. E& T+ \2 u
Extreme observation, 末端观测值
+ n! `: M5 |3 ?* A& I( u9 F/ }Extremes, 极端值/极值
. t2 z) T% h$ f! K1 q7 zF distribution, F分布+ B X Z+ @" o% Y5 J
F test, F检验# m+ i5 O' v4 g* e
Factor, 因素/因子
) T! M5 p: J* X! U+ W7 }Factor analysis, 因子分析
+ f6 s/ l! r" U2 n" T6 kFactor Analysis, 因子分析
W5 P* G2 u# jFactor score, 因子得分 0 \ \& a' O. R) F9 Z7 J5 U
Factorial, 阶乘! _. F8 |% z/ @. X4 m) ^& y4 ]
Factorial design, 析因试验设计) I* e$ |/ l8 T# E# j- j. ~
False negative, 假阴性8 u* @- W! _6 Z
False negative error, 假阴性错误* s. B1 T: c9 K. d3 V Z' J2 w. V) a
Family of distributions, 分布族4 b8 l, u& p- H* w" e3 i
Family of estimators, 估计量族9 _- g* P* j, ~3 f! B
Fanning, 扇面
) D: m0 F/ V1 ?5 U Q* l/ vFatality rate, 病死率
% B* o! i) @* z" ]- i# rField investigation, 现场调查5 w( U* C1 B4 A& P8 S
Field survey, 现场调查
( X2 w8 R5 U# `* Q9 m6 K. YFinite population, 有限总体9 }$ x: t# c0 r
Finite-sample, 有限样本
" t! x- @$ }/ F- VFirst derivative, 一阶导数" c A. J4 J4 L# l$ o" e
First principal component, 第一主成分, h% M: K, e' | O: ` U
First quartile, 第一四分位数
1 P; l1 H9 m4 XFisher information, 费雪信息量
! m( {. q% J8 r0 R' pFitted value, 拟合值; @3 [, f) M# [0 r
Fitting a curve, 曲线拟合- J; X; O4 v o( P( W: U
Fixed base, 定基' |. Y# U8 a; P8 U o
Fluctuation, 随机起伏
0 o- \. V% l9 Z4 {. d* E+ a; mForecast, 预测
! O( K7 x- [+ _; v4 ^7 xFour fold table, 四格表
9 o+ H# {" h' ^ a1 T% ZFourth, 四分点) d& d5 |) r, a
Fraction blow, 左侧比率
- @$ ~7 R1 B B7 I; {5 rFractional error, 相对误差9 N1 R8 U8 |3 ?. Q" h
Frequency, 频率 c8 J W* @9 N7 ~. W
Frequency polygon, 频数多边图' l C3 V7 a- \# b, Y& Z
Frontier point, 界限点" F3 V, R: t+ K9 S6 Y
Function relationship, 泛函关系; y8 [/ y2 C% x3 m& N; a
Gamma distribution, 伽玛分布
" Q# Y6 O. g, i3 p- F, yGauss increment, 高斯增量/ B" ` [+ U1 f1 M# K T
Gaussian distribution, 高斯分布/正态分布( R5 C; z4 K6 |" R* x5 i5 f: d: l
Gauss-Newton increment, 高斯-牛顿增量, P h3 Z# n3 f R5 `/ O4 f& A
General census, 全面普查8 S0 o1 d" T- U) ]# o) H
GENLOG (Generalized liner models), 广义线性模型 ; G% e! h( h# e, y% c; N" p
Geometric mean, 几何平均数
6 Q: L& T1 w) z/ w) qGini's mean difference, 基尼均差
$ O& i- e$ [" \* mGLM (General liner models), 一般线性模型 3 j- g3 k2 ?! x. E; t% n8 `
Goodness of fit, 拟和优度/配合度1 U' ?* J2 r7 u5 ?% b `
Gradient of determinant, 行列式的梯度
; e4 ]# A/ ~5 p% Y9 u& r7 MGraeco-Latin square, 希腊拉丁方# i1 Q, p3 q3 I! s
Grand mean, 总均值
0 g$ p, J3 y- X0 jGross errors, 重大错误
; N; G( h# `8 Q" d \/ f. m6 H zGross-error sensitivity, 大错敏感度5 x2 q' b& X' F2 v/ p$ ?
Group averages, 分组平均
9 j" H. ^" s, X( D% ]7 hGrouped data, 分组资料0 e6 t8 i% H3 D, ^$ \! r
Guessed mean, 假定平均数
$ @- s5 Y, i9 h# _& B1 THalf-life, 半衰期( Z2 H4 g6 A7 \# ]$ W. N5 Y" d2 d0 {
Hampel M-estimators, 汉佩尔M估计量2 R5 ~' L5 I+ \9 A
Happenstance, 偶然事件
) W+ g6 g: Z6 E& j8 ~Harmonic mean, 调和均数7 W% }& s0 V; X
Hazard function, 风险均数* t, [# ]) R5 v
Hazard rate, 风险率( X4 A( F) }' ]8 R, ?
Heading, 标目 : V9 H9 j' f. |, v8 N: L
Heavy-tailed distribution, 重尾分布* ^+ ~% r1 M$ d6 f1 G
Hessian array, 海森立体阵
' t! [' A# s1 j( FHeterogeneity, 不同质
% S+ C8 b( F v3 _- kHeterogeneity of variance, 方差不齐
* B6 @4 x. [( I3 Z* H) ZHierarchical classification, 组内分组1 E+ _# G+ I( O' E$ \- M# Y
Hierarchical clustering method, 系统聚类法
) g E% [+ y( F! O2 l% k, `4 U6 t( IHigh-leverage point, 高杠杆率点
3 m) f- n/ x f/ E9 N- FHILOGLINEAR, 多维列联表的层次对数线性模型
3 g: U5 q2 z% q& ~$ w& {Hinge, 折叶点
" i- I7 H Q( a1 Y! WHistogram, 直方图
) G ` q' o. w: qHistorical cohort study, 历史性队列研究
9 f {* j' L* b+ h' eHoles, 空洞
+ Z" j# b. u7 b* S1 u- l7 L/ YHOMALS, 多重响应分析
6 c& h% s y, F, n6 w( p' H5 vHomogeneity of variance, 方差齐性
O% b5 |3 w0 h3 c2 i" gHomogeneity test, 齐性检验" o; }* X& j. x
Huber M-estimators, 休伯M估计量
9 F2 }' d- V n6 V0 U& ?8 bHyperbola, 双曲线
4 ^( n, g8 D& A W7 Z( k8 gHypothesis testing, 假设检验* l( v1 f- N8 Q/ c5 A
Hypothetical universe, 假设总体
- n$ Q1 f$ v$ z( j* pImpossible event, 不可能事件
0 [ u5 M. x# u6 P( f2 IIndependence, 独立性
+ b. K, s9 n4 s) Z6 {. mIndependent variable, 自变量
- ?3 `/ |5 P4 W) ]7 V+ BIndex, 指标/指数
, m: A6 \6 e# ]7 BIndirect standardization, 间接标准化法
A! O4 C4 Q+ S9 h- A* \ vIndividual, 个体
2 P8 k& s" w3 c% k! |. N# z! X# ~ IInference band, 推断带
+ A( K* {& G! m" A2 a0 z2 ` }Infinite population, 无限总体4 d5 h4 J6 }+ V* v& Z& ^
Infinitely great, 无穷大
" W9 U: l% i: PInfinitely small, 无穷小
6 v! }# _. I8 U& k1 [Influence curve, 影响曲线
L" G4 q [- T5 zInformation capacity, 信息容量
W( W, o I& b2 D- J8 jInitial condition, 初始条件
6 Z7 }6 x9 i) e* cInitial estimate, 初始估计值
: L c& E' F$ n% }6 `$ vInitial level, 最初水平) j% ^4 y1 |' b2 x; \
Interaction, 交互作用
7 ]3 m/ I( h( |Interaction terms, 交互作用项
/ A$ S6 z; I9 t! ~( w- H. D' ~Intercept, 截距
, ?$ `) C* q- [& \! lInterpolation, 内插法$ g- j7 t; Z. y& l2 E
Interquartile range, 四分位距
/ f) q0 A+ r/ M2 k7 O, J1 EInterval estimation, 区间估计
; j! X3 r, l+ v) I1 v, WIntervals of equal probability, 等概率区间
- [( }4 b/ i0 Z5 A# |5 Q# zIntrinsic curvature, 固有曲率1 f1 t- l; d; ~; O# {- X, M
Invariance, 不变性' Q, G- h7 A d
Inverse matrix, 逆矩阵( W1 h0 \9 h& H R6 t# G; ]
Inverse probability, 逆概率
3 t1 g `6 s% b& YInverse sine transformation, 反正弦变换
/ { h0 K: P1 h3 S3 n. |Iteration, 迭代
$ ?/ S! ?; K$ x& R0 d4 IJacobian determinant, 雅可比行列式
( `9 e q+ c% ^6 l0 W8 B% [/ VJoint distribution function, 分布函数7 {* z; e% p) G, T @: ]. T1 v
Joint probability, 联合概率
. C1 e( _ p4 _- v# u/ P+ j3 zJoint probability distribution, 联合概率分布
! o5 }, ?9 X& z* T( \K means method, 逐步聚类法5 k' |/ ~, a; E. ]
Kaplan-Meier, 评估事件的时间长度
# b! S( l% |2 M# w" N2 X. ?Kaplan-Merier chart, Kaplan-Merier图
0 l2 {' m3 f0 e- S1 b6 p8 WKendall's rank correlation, Kendall等级相关
; v2 U9 |0 `3 k8 w8 P3 wKinetic, 动力学, [. R* V* A/ i- a+ b
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
# J9 Z8 o, U3 M6 m: P q. s6 m- g1 tKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
3 o5 Y4 U+ \9 n9 V& UKurtosis, 峰度
! j( i8 h \$ @. A; j8 NLack of fit, 失拟, F& f$ {9 `. H5 i) ^0 l/ b
Ladder of powers, 幂阶梯
5 y: {% q8 D$ H$ k/ fLag, 滞后1 q7 P6 k! W! a' v0 J8 _, |
Large sample, 大样本
+ W: u4 I: m! d# G* p* J' ULarge sample test, 大样本检验2 F l1 |/ |8 U' D: X7 b
Latin square, 拉丁方
7 k& S- @6 z0 i8 n e& L: o3 LLatin square design, 拉丁方设计
3 w2 \8 s/ |' Q1 o3 L6 Q! o0 f' PLeakage, 泄漏
6 w4 G8 `( S7 S) O% [4 u! U" HLeast favorable configuration, 最不利构形3 e" ]' a4 H- o( [
Least favorable distribution, 最不利分布( B1 R, Y% C0 m* Z1 `. {
Least significant difference, 最小显著差法
3 `! i) ^! z( @Least square method, 最小二乘法2 s' J" {3 W! b) H# q" Q
Least-absolute-residuals estimates, 最小绝对残差估计' v P/ X1 R8 r# ?! @; ?0 J: a
Least-absolute-residuals fit, 最小绝对残差拟合! P4 l. {. `+ q
Least-absolute-residuals line, 最小绝对残差线: Z! m+ Q ?+ M. e1 k
Legend, 图例0 m$ ~2 M E# n7 h( N- g% u
L-estimator, L估计量# t8 \% `3 x& d3 l) Z. b
L-estimator of location, 位置L估计量
P. c" O& V. d$ o$ VL-estimator of scale, 尺度L估计量
" u( _, e; v5 `) A. _, f TLevel, 水平
$ n+ p1 N C. K* T1 [4 ZLife expectance, 预期期望寿命
8 ^. M& W+ B* C% g, h8 ZLife table, 寿命表8 W8 U; M [. o* @/ Z7 l) `
Life table method, 生命表法" a3 ~. L0 }# p. J# z7 Y
Light-tailed distribution, 轻尾分布
) V% s" S1 @5 |: a) m6 a' SLikelihood function, 似然函数8 n) T' M' ~; k+ z U# Y8 W4 ]
Likelihood ratio, 似然比
/ ~5 H0 {( E+ }6 F9 xline graph, 线图+ `* B/ s" x6 G
Linear correlation, 直线相关" ~7 W/ \- ?( w) n* H
Linear equation, 线性方程
. t- B, ?6 k2 l }: ZLinear programming, 线性规划. ?; c. d; K2 u8 p0 f
Linear regression, 直线回归& c- K9 i9 M5 m, I5 m7 C
Linear Regression, 线性回归" ?8 Y4 G) T9 U3 J" l! o
Linear trend, 线性趋势* I, m7 X$ T1 q/ T( P" s3 }
Loading, 载荷 ) e4 s8 @8 l# ^- n$ V
Location and scale equivariance, 位置尺度同变性
* O4 f+ A7 b* R2 q- p& uLocation equivariance, 位置同变性
2 ~- Y5 X6 [0 N% nLocation invariance, 位置不变性3 ]8 j. b, A. O
Location scale family, 位置尺度族% ?" K. O c |( n% d
Log rank test, 时序检验 8 N# Y: t0 H* l
Logarithmic curve, 对数曲线0 A j" P% B: K! u
Logarithmic normal distribution, 对数正态分布
8 k- J8 L7 L* w+ a% s2 n$ c2 L! B8 _* OLogarithmic scale, 对数尺度& a& `6 }* h1 M# z
Logarithmic transformation, 对数变换' p) a% ]3 @3 F
Logic check, 逻辑检查
" \- Z6 U2 Z- SLogistic distribution, 逻辑斯特分布
% c; F6 F" I U4 Z$ T) i2 \Logit transformation, Logit转换3 a% [: A3 x6 Q9 h' K
LOGLINEAR, 多维列联表通用模型 7 q$ e2 z0 o, H% j3 b* i
Lognormal distribution, 对数正态分布( w4 R* o" g3 |" W
Lost function, 损失函数; `8 t; L+ [6 \+ [
Low correlation, 低度相关
9 d* D! \; n" {/ O" rLower limit, 下限4 h0 }8 G' X* y2 |+ f2 y
Lowest-attained variance, 最小可达方差
% p! ]: I( F5 wLSD, 最小显著差法的简称. e, C+ n! X- [- V& \( X
Lurking variable, 潜在变量
0 h6 J, @* n( oMain effect, 主效应7 t% D3 Y! m% _5 R* v
Major heading, 主辞标目7 }$ ^% x/ z% O, |; j" W
Marginal density function, 边缘密度函数' [ l i* K* l& J
Marginal probability, 边缘概率
# V s" U5 E" WMarginal probability distribution, 边缘概率分布+ P: `8 p: S* P$ G
Matched data, 配对资料( Y% C1 _$ ?* D8 w1 i: ]7 O7 l
Matched distribution, 匹配过分布
- H Z- V/ I' [+ c. DMatching of distribution, 分布的匹配$ j5 X4 C5 s) X# e
Matching of transformation, 变换的匹配
U, [' ~9 o7 HMathematical expectation, 数学期望! f( x {. Z2 P" T+ v2 e) y. E8 C
Mathematical model, 数学模型8 d, A6 H. w4 d- w0 x
Maximum L-estimator, 极大极小L 估计量
0 J7 n, e# T5 b TMaximum likelihood method, 最大似然法
+ W* o# O. M+ C# c8 f& EMean, 均数9 U, w" c' `' R3 R/ L& \2 c( U0 d: A1 ]
Mean squares between groups, 组间均方3 L; m& n3 I$ ^0 H
Mean squares within group, 组内均方$ N: {3 R0 G% u* i/ S1 l
Means (Compare means), 均值-均值比较
, b: G( D* @; Y3 tMedian, 中位数
; R, v. |7 }. |4 M6 L! A! \% UMedian effective dose, 半数效量& Q8 N' {4 A9 f8 L3 F8 L8 K- G& X
Median lethal dose, 半数致死量
' f/ s* {7 e3 w3 I: o6 GMedian polish, 中位数平滑
4 k1 `- h3 d! s& X% c. `; Q2 TMedian test, 中位数检验9 Q4 P8 H" N) w6 I
Minimal sufficient statistic, 最小充分统计量- N. l( H& v+ S9 W! R* M
Minimum distance estimation, 最小距离估计# w5 h: G5 _6 X. @3 ^) V+ l; y) D
Minimum effective dose, 最小有效量7 F9 D8 T3 G+ V: N! j# e- `
Minimum lethal dose, 最小致死量
4 }. W) R P: q% pMinimum variance estimator, 最小方差估计量
% ?0 o- y+ l9 Z9 qMINITAB, 统计软件包9 m+ [) Y' I/ r3 \$ m$ g
Minor heading, 宾词标目
, R( \1 G8 q1 z8 B3 o& F- @Missing data, 缺失值
9 W- [, [2 u7 Z4 h0 i" \. bModel specification, 模型的确定$ o. @2 @3 V3 x/ R& b
Modeling Statistics , 模型统计2 u& o. n- o) q9 p: a
Models for outliers, 离群值模型
) W; E( W: f5 X p. S& {Modifying the model, 模型的修正
3 j, e0 }" I& @6 J; f" J! qModulus of continuity, 连续性模$ ?7 u- {' I' I2 H
Morbidity, 发病率
7 \2 x- {( F' _9 ^Most favorable configuration, 最有利构形: M8 Q |1 j; Q3 L% n0 L4 m# L
Multidimensional Scaling (ASCAL), 多维尺度/多维标度6 X3 n- l, l$ M5 q$ v
Multinomial Logistic Regression , 多项逻辑斯蒂回归) ^( e' x2 U6 ?0 S# `+ R8 m n; [0 |
Multiple comparison, 多重比较
' M/ A" u3 q, U8 rMultiple correlation , 复相关
) k! f' s2 x( e: PMultiple covariance, 多元协方差
* Z o9 v8 t& sMultiple linear regression, 多元线性回归) _9 Y* s1 f% C% g2 q0 Y! W H9 R7 X
Multiple response , 多重选项$ f. J; Y( V9 m5 k, A
Multiple solutions, 多解$ L+ O6 A; {: f+ t% x* A) ^
Multiplication theorem, 乘法定理
1 U1 ]8 K5 }, ?) yMultiresponse, 多元响应# }/ g) ]/ u- v# P2 t, b2 r+ _
Multi-stage sampling, 多阶段抽样2 M0 i# r2 @ @. i
Multivariate T distribution, 多元T分布
m3 ] i I* F4 t, N* I { fMutual exclusive, 互不相容4 O2 z6 W5 D; h
Mutual independence, 互相独立
( A" p' a7 A: g' L, ~/ RNatural boundary, 自然边界
- `- Q5 d% V- R9 j1 R! ?Natural dead, 自然死亡7 j' a7 |+ j' T# b4 V/ F* d
Natural zero, 自然零; }+ F) `# y% ^ }
Negative correlation, 负相关
# `& I5 K2 F& Y8 L4 c+ q& R0 V) PNegative linear correlation, 负线性相关
5 i1 X8 P6 _& GNegatively skewed, 负偏
1 b% B1 P l1 L# X# k3 @Newman-Keuls method, q检验
( }5 `& h# W! \( H; X. UNK method, q检验
: y+ h% S6 ?3 T3 t+ K! lNo statistical significance, 无统计意义' n* k5 p! G% G% g$ h
Nominal variable, 名义变量
, H5 T5 @8 P6 Q6 l. i! _Nonconstancy of variability, 变异的非定常性
. S U: o( H9 z. Q0 s2 x/ _Nonlinear regression, 非线性相关. ?; T- m1 k) e- m& x+ d
Nonparametric statistics, 非参数统计8 G: X" @$ |8 y8 Q3 }' N
Nonparametric test, 非参数检验
! j1 y% j% y! I+ FNonparametric tests, 非参数检验
) W0 G8 E* H3 {5 n. ?* v9 HNormal deviate, 正态离差
: P I/ e, P& Q$ S7 L0 e6 jNormal distribution, 正态分布
. n$ t; { [! \4 M% n3 {Normal equation, 正规方程组( f+ v8 o6 F/ {9 z+ r4 \1 m% a
Normal ranges, 正常范围5 n+ x, A7 B# z2 w8 z& v
Normal value, 正常值
# d3 F9 ~: [: V: ]7 nNuisance parameter, 多余参数/讨厌参数" C0 E4 ~* }' V5 Z
Null hypothesis, 无效假设
0 G/ V( I3 b! V! h$ }Numerical variable, 数值变量$ F9 S- w( s& s1 l* o# E
Objective function, 目标函数: H0 n; c) c1 w$ Z5 v' P1 ?
Observation unit, 观察单位' l, S* G) G7 n) a5 [/ s4 z8 h/ s
Observed value, 观察值8 b. E1 B1 o: Z2 D, X x) T* F
One sided test, 单侧检验
( u3 I. z) M4 \) [" aOne-way analysis of variance, 单因素方差分析
# Z. d1 r. W- K+ G2 s1 }. `Oneway ANOVA , 单因素方差分析
* ~) x3 f4 \8 C rOpen sequential trial, 开放型序贯设计
8 [5 G0 ?& J) \ `8 c, xOptrim, 优切尾
' c& J6 F, _+ A/ P! ?6 }% `" d8 cOptrim efficiency, 优切尾效率
3 X9 o% `- q6 [) e \9 f5 o8 r0 aOrder statistics, 顺序统计量" U3 A2 ~, |/ }, ^
Ordered categories, 有序分类# E& W( R0 F, [, f4 |5 z
Ordinal logistic regression , 序数逻辑斯蒂回归
1 N; r3 w. x* U# m! fOrdinal variable, 有序变量" H$ E$ G* U e! Z; W5 E" U
Orthogonal basis, 正交基" B" P# i4 V0 j* O4 {
Orthogonal design, 正交试验设计
6 k6 A5 Z2 J" u+ X) aOrthogonality conditions, 正交条件3 \; O0 t: e! J- z& x" q
ORTHOPLAN, 正交设计 3 a( Z; w3 ]# J7 s% _" ]
Outlier cutoffs, 离群值截断点
* v: ]6 U9 U; Q8 N2 u% HOutliers, 极端值
! u+ y: w8 ^! K$ S1 pOVERALS , 多组变量的非线性正规相关
" K* N' l& R( Z. A! \1 G9 E3 TOvershoot, 迭代过度, P9 G8 s2 d, p& v' h
Paired design, 配对设计1 w9 ?! M& V0 n1 n3 v* b$ U( w0 j0 b
Paired sample, 配对样本
! [2 Z8 y4 c# V& \* XPairwise slopes, 成对斜率
- \8 k3 x6 j# P- P- f. S( N! EParabola, 抛物线9 u* h0 T3 m6 u% R3 C6 i
Parallel tests, 平行试验
9 Y8 ?& t% a5 z# r* T+ {9 nParameter, 参数
( l1 Q( U3 x' s3 k0 O3 Q1 fParametric statistics, 参数统计7 g$ R' \7 v$ g8 G5 g. \
Parametric test, 参数检验2 d9 a" e8 G. \
Partial correlation, 偏相关0 l: ^0 E, G' v
Partial regression, 偏回归+ P5 V0 V" {0 U3 Y8 u2 ]! n, w
Partial sorting, 偏排序
) X& S, l4 f) s9 Z V9 H; zPartials residuals, 偏残差
0 ~4 V2 Q3 p# V5 X& d* `Pattern, 模式8 q% ?# A" L& b
Pearson curves, 皮尔逊曲线
+ s+ V8 `! Z" n+ V1 SPeeling, 退层
' x+ l+ Z. w; g( L. p& a8 T; R1 xPercent bar graph, 百分条形图3 E; G2 Y: G; z/ h
Percentage, 百分比6 M: p p, O4 k( T+ g3 L8 ]% `
Percentile, 百分位数( F+ j* V* n3 g4 C5 \1 A
Percentile curves, 百分位曲线
9 n1 {8 c, o3 ^4 J9 WPeriodicity, 周期性8 u* f' m* i9 |2 M& M& t
Permutation, 排列2 n/ X- z9 {) j ?1 N/ ?
P-estimator, P估计量
. b9 J. g6 b5 }: [! E0 ePie graph, 饼图
8 l; F/ y f) y, h9 r. H% hPitman estimator, 皮特曼估计量) K+ j3 [6 h7 z% g6 q
Pivot, 枢轴量
* d, R8 O$ g3 ^( x: q: i1 e9 g: SPlanar, 平坦4 D2 W0 ~1 u, [8 h N2 _
Planar assumption, 平面的假设# B' I& |" | _, A
PLANCARDS, 生成试验的计划卡
& U( s, \( z: APoint estimation, 点估计
2 f' m& p2 L* w" T; x9 x& |Poisson distribution, 泊松分布. n9 g& H# F$ g3 }$ r" Z5 E
Polishing, 平滑# _! t, S ]3 R$ c# m5 ?$ T
Polled standard deviation, 合并标准差
5 G+ N2 e) W' t: wPolled variance, 合并方差
% V" m" r+ X6 v" s) R: @Polygon, 多边图 K+ z. r+ L# ^) p3 y' t
Polynomial, 多项式
L* w+ z5 A" c2 q: OPolynomial curve, 多项式曲线
! K, q4 W7 f0 c z. i% N6 y; N) uPopulation, 总体
! n! ^1 ]6 C- h1 m# }9 o1 m% ZPopulation attributable risk, 人群归因危险度
5 p4 G3 d4 U. I$ F5 Y8 ~% K9 ]Positive correlation, 正相关* l3 A$ o5 S3 p
Positively skewed, 正偏
* _6 }, p: F& r9 F6 A! H# hPosterior distribution, 后验分布' c' [2 S8 z3 L
Power of a test, 检验效能
$ T- X) n# C7 f( v' x- GPrecision, 精密度$ v1 U% I* U: p, B! j
Predicted value, 预测值
) `$ f$ w3 M& c* e cPreliminary analysis, 预备性分析% o$ O7 w0 w! |- w. g" q
Principal component analysis, 主成分分析
8 P. B5 }" O' ~$ m! B1 ?/ n; JPrior distribution, 先验分布
3 p; l# k5 e4 O1 K2 p6 jPrior probability, 先验概率
3 k$ A6 M' m/ qProbabilistic model, 概率模型$ p9 S c: n+ ~3 D! m
probability, 概率6 v/ l4 q5 J( D6 i! ~! u/ ]7 p% m
Probability density, 概率密度
& i) H+ {) t$ k D. AProduct moment, 乘积矩/协方差# G, _& m4 t/ ~* [
Profile trace, 截面迹图( q0 ]; B3 |7 e8 D$ |
Proportion, 比/构成比' P/ y# }& K3 k9 \6 m
Proportion allocation in stratified random sampling, 按比例分层随机抽样
n& L# q7 n3 e" A8 Y2 dProportionate, 成比例9 F5 b" b7 b( Z7 x5 g
Proportionate sub-class numbers, 成比例次级组含量& q5 W; W! z& z( ^
Prospective study, 前瞻性调查
% O! j) N& Y2 h+ ?2 T+ H0 _Proximities, 亲近性
6 V% N$ ]+ w9 k: m! X5 i. @Pseudo F test, 近似F检验! R. ~% v, W7 D. i; U7 m; H% j6 e
Pseudo model, 近似模型, }0 t! H0 ?4 N% {' `0 \
Pseudosigma, 伪标准差2 m; o. q6 Y7 N' }) p2 E0 c2 }
Purposive sampling, 有目的抽样, A1 J) `4 @" U
QR decomposition, QR分解
4 l; F* q4 J. }$ X3 Q; G0 x* A# lQuadratic approximation, 二次近似
+ i2 T9 i! R5 O0 N- N# ^* l. o/ CQualitative classification, 属性分类. h p, B; R$ J. q( P: X5 b+ b4 L
Qualitative method, 定性方法/ l& }2 w$ y+ S3 Z" o9 q/ S
Quantile-quantile plot, 分位数-分位数图/Q-Q图) y1 v& Q; ~% I8 G5 W
Quantitative analysis, 定量分析! S5 \0 [: S% a' M/ W0 d
Quartile, 四分位数
0 u7 P* j* m) w, _/ dQuick Cluster, 快速聚类. g. O1 a! V) m/ {7 _& _
Radix sort, 基数排序6 y4 p q# Y5 H4 W# T: W) Z. `
Random allocation, 随机化分组
+ @* R: t u" M. L1 p3 jRandom blocks design, 随机区组设计( g# H) ?( D( D L7 R/ j
Random event, 随机事件0 @9 g( ^% I8 u L- Q8 f. J: J
Randomization, 随机化" v/ v; O$ Q' |! h2 [6 v
Range, 极差/全距& d+ F. d( f$ D& ~! t& n. N" r
Rank correlation, 等级相关
9 j: b; d* R4 T+ V4 F% n1 D# e) @Rank sum test, 秩和检验
" S, J: c9 P% T" e: W+ B; TRank test, 秩检验5 P+ S( M7 L* S) X P) t; e0 u- P
Ranked data, 等级资料
# b+ q) ]( Q& s' H" l5 t* ERate, 比率
6 u6 Y9 Z+ U6 \. X( zRatio, 比例
8 _2 D) r+ w" f1 n4 O1 |2 G# T' LRaw data, 原始资料
- y/ Z( s0 l$ W2 J: vRaw residual, 原始残差9 w. n. j# g! _! k0 c( D
Rayleigh's test, 雷氏检验
7 W$ q$ Y2 ]+ B3 Q9 k( FRayleigh's Z, 雷氏Z值 5 }- ]' Y- u5 ~/ _- v8 P* A5 J
Reciprocal, 倒数8 O5 h3 r8 @7 M1 z
Reciprocal transformation, 倒数变换
8 Y6 O' J' \, y# k' N0 ?Recording, 记录
! J4 m" D7 Y y: n. HRedescending estimators, 回降估计量
$ j# g6 L+ e d5 m; CReducing dimensions, 降维
1 ]( f! C, u6 m0 F" X) z' KRe-expression, 重新表达
/ P1 k1 u$ h5 P+ S& z7 [Reference set, 标准组* H4 `' G4 F8 x5 r/ N8 C
Region of acceptance, 接受域
3 ~! z# }2 V, k. L) l" VRegression coefficient, 回归系数& @. k" y5 p/ N* y5 N
Regression sum of square, 回归平方和
5 ^& h2 }9 O- h- [& DRejection point, 拒绝点4 g! _. \8 ~4 z
Relative dispersion, 相对离散度
9 g$ T7 q& Y% xRelative number, 相对数
' {: f3 a) ?: l$ x4 Q$ H0 }" qReliability, 可靠性
S/ ~/ C1 n2 C% @/ V0 @Reparametrization, 重新设置参数4 N! p4 a d+ k! { L
Replication, 重复
8 U& z/ t7 R3 C& G4 q" y; wReport Summaries, 报告摘要: R! z2 {6 x- i0 m+ b
Residual sum of square, 剩余平方和8 ?1 v8 `3 O+ y( O/ F# D" a
Resistance, 耐抗性" l- d6 v# h5 D6 Q9 H. ^; q. T
Resistant line, 耐抗线
% z- M9 ?! \7 a' RResistant technique, 耐抗技术
n+ E/ \; ?: I) P7 p# \* TR-estimator of location, 位置R估计量
3 F* j: |1 }5 x# c! @R-estimator of scale, 尺度R估计量* f6 u' V, H9 g5 j1 L
Retrospective study, 回顾性调查
/ [9 h0 N+ H- G5 ]Ridge trace, 岭迹
, R- n! a V" P) [) p1 w3 T- MRidit analysis, Ridit分析2 d/ l ?1 A: J4 |* l
Rotation, 旋转3 ]! C7 j& i! R+ Z
Rounding, 舍入* n: h) D$ Q, d7 N
Row, 行
' K7 f# n+ E t7 [( S& v4 wRow effects, 行效应
: g1 X- m. w; _4 b% nRow factor, 行因素- U% C( W% W$ m2 _- c j
RXC table, RXC表+ U1 n+ T! R! l
Sample, 样本0 O* U/ m2 H+ q3 r6 Z
Sample regression coefficient, 样本回归系数- L$ K" \9 _1 P% P7 G2 l) f) r; A
Sample size, 样本量
; z/ w \5 |: }2 h3 bSample standard deviation, 样本标准差4 q; u7 [2 _, n: o Q% K. i
Sampling error, 抽样误差
) v) i; |* Y5 c: v. }SAS(Statistical analysis system ), SAS统计软件包
* R9 D- v& H: ^! N& ^( V8 EScale, 尺度/量表0 ^; f9 O: y4 g3 t2 z: ^/ G
Scatter diagram, 散点图; E- a- D: P( P4 g# [
Schematic plot, 示意图/简图" K/ e# F; t, ?( i
Score test, 计分检验
9 d/ c) R! ~' \Screening, 筛检
% z1 X* T% P( {7 }" |# A$ D. CSEASON, 季节分析 4 n8 g. C2 j* T- P0 X0 A" L/ d
Second derivative, 二阶导数
& K6 o& V0 X h0 |- p7 C6 ISecond principal component, 第二主成分- I. N. d/ \4 A* Y
SEM (Structural equation modeling), 结构化方程模型
" n ?0 q) K! [* |! y- dSemi-logarithmic graph, 半对数图
5 E E7 N! L* F' G% |9 `Semi-logarithmic paper, 半对数格纸+ Q2 a4 U6 D9 _$ h e* j3 w
Sensitivity curve, 敏感度曲线
4 u, f/ \# c/ C2 _3 l! @" aSequential analysis, 贯序分析' i, {" h4 c+ G r! L+ i
Sequential data set, 顺序数据集
9 t- Y- ~5 y9 w M# gSequential design, 贯序设计
, q5 B/ w) g1 g: p3 Y' JSequential method, 贯序法
- A D, \ e% B. j) ^) i- hSequential test, 贯序检验法' r; }. ]( u X
Serial tests, 系列试验5 Y$ w/ ^7 a5 [
Short-cut method, 简捷法
& m1 V- Z3 e, H% _+ B, |Sigmoid curve, S形曲线
$ r" G6 q( |$ BSign function, 正负号函数
- j+ E$ w: g3 t& Q2 ^Sign test, 符号检验
* }" o l: T: `( F$ d6 sSigned rank, 符号秩5 I9 k- k1 [: ]: M# I9 }( a2 M
Significance test, 显著性检验
4 w8 p: n5 v" v2 oSignificant figure, 有效数字% Q7 E) U! w* ]/ T" u7 T
Simple cluster sampling, 简单整群抽样
) D. J# @0 Y- e1 z6 ySimple correlation, 简单相关* j/ u6 E6 K7 X0 e* C
Simple random sampling, 简单随机抽样% R* c6 A2 ?- b: c) `8 k- Y. k
Simple regression, 简单回归
- c: w- n- }8 i; Jsimple table, 简单表! \* r. G/ O5 \ ?+ t/ G C
Sine estimator, 正弦估计量
9 T2 Z0 N" i9 W1 L" b: RSingle-valued estimate, 单值估计
1 S6 h, Z: V& W& ?/ j4 T; ]" b; _Singular matrix, 奇异矩阵
" ]5 z/ v$ x jSkewed distribution, 偏斜分布" k' a1 }* I" t T; I
Skewness, 偏度% f1 e. m* \! }! I1 P4 c
Slash distribution, 斜线分布
% u7 @3 _4 k4 C% U5 tSlope, 斜率, W( T5 ]- u1 T2 m
Smirnov test, 斯米尔诺夫检验, ]1 S" n. p2 V/ o
Source of variation, 变异来源: C1 {5 T' d1 n; C6 t
Spearman rank correlation, 斯皮尔曼等级相关! E4 Q" V4 E% k1 ~
Specific factor, 特殊因子1 W- r0 h5 D# d
Specific factor variance, 特殊因子方差
8 k/ l* `. ]0 u$ n* c! TSpectra , 频谱8 U+ R. y$ Y$ u! e4 \1 @ l; U
Spherical distribution, 球型正态分布
1 ~, `8 `9 T$ S6 E1 V$ DSpread, 展布. N/ [ Z7 a% G/ o/ _: X% _
SPSS(Statistical package for the social science), SPSS统计软件包
" q" D9 G B: ?0 JSpurious correlation, 假性相关$ ?6 {, ~5 o8 J1 I) l" V
Square root transformation, 平方根变换: G+ B ]/ r7 J* A
Stabilizing variance, 稳定方差
# x8 D. E; o6 R8 mStandard deviation, 标准差
. Z- W9 y$ h4 m' ?6 }) B& [Standard error, 标准误
0 S7 D1 {" S5 ~2 AStandard error of difference, 差别的标准误, G" f6 w/ O1 T0 f. z: z% k
Standard error of estimate, 标准估计误差
, U2 a# o3 p7 ^% `+ n* K- JStandard error of rate, 率的标准误
1 o$ S2 T9 x( d O8 {; N& g& ^Standard normal distribution, 标准正态分布
! l; r$ J. N- ]$ q5 {8 J2 t% F- [Standardization, 标准化
; @8 M. ?* _5 s' ~! m9 i, n$ ~) IStarting value, 起始值- ~2 I& Q. e0 p! m7 a- {
Statistic, 统计量& \6 S, v( T9 d+ x6 |) b# F
Statistical control, 统计控制( D" X3 y0 G, [
Statistical graph, 统计图& P9 c& D* C+ W8 W
Statistical inference, 统计推断, I) \5 J ]2 k \
Statistical table, 统计表9 _1 O$ @- ^0 D2 }) n
Steepest descent, 最速下降法
6 N2 A5 m1 ?* ]1 z7 ]4 eStem and leaf display, 茎叶图
4 ?4 W- T+ J# @" k+ n/ e1 DStep factor, 步长因子
& e3 J( O1 Y$ X( E% h' I: NStepwise regression, 逐步回归+ l4 Z/ b. ]1 Z/ ]# {' x
Storage, 存
* ^4 M" [0 [: ]1 Y8 hStrata, 层（复数）9 V$ v* t* o: C9 `
Stratified sampling, 分层抽样# u5 D) F6 B" i f6 _
Stratified sampling, 分层抽样$ e" @$ |; v4 I& \
Strength, 强度; J& I v& y/ d5 a
Stringency, 严密性
- @! b$ v) Z' Q/ B9 P% LStructural relationship, 结构关系
9 f5 y9 e- M% x3 \' q ?: QStudentized residual, 学生化残差/t化残差
: z, J* a3 J& F4 k1 `Sub-class numbers, 次级组含量
4 Q, Y$ c; m3 T8 l8 `: sSubdividing, 分割
) l2 R0 ?- W9 P. u1 A- KSufficient statistic, 充分统计量: O9 U3 i ]" L( o7 r/ q2 k2 @
Sum of products, 积和
% B$ z- K/ J v2 ]: f7 t, USum of squares, 离差平方和( ]0 A: J, I+ e& h8 H! M
Sum of squares about regression, 回归平方和4 a+ P* H. P$ e0 I! E) G( w6 T# x
Sum of squares between groups, 组间平方和
/ [* `9 ]+ E D' Q' cSum of squares of partial regression, 偏回归平方和0 i7 ?4 z! N! A
Sure event, 必然事件
2 X. A* r) e. w7 R7 \; V* a) vSurvey, 调查
( q% [) B/ ?* \9 hSurvival, 生存分析
) y. {/ k4 }9 a: ~( E5 P% Y) B' JSurvival rate, 生存率/ \. o8 z3 A% K [! O
Suspended root gram, 悬吊根图/ o5 L) Z8 R" Z* Y% N# O, {3 b
Symmetry, 对称
) t% q$ [% x, P, Q4 P) W8 y* a9 x6 vSystematic error, 系统误差+ [5 V0 Z& J- H' C# [) \
Systematic sampling, 系统抽样2 `7 s3 q& ^8 L6 A ^
Tags, 标签
3 v9 I% j, L- i/ a# wTail area, 尾部面积
) G- O, I; L' lTail length, 尾长
& _) K$ I' Z! h: q+ \Tail weight, 尾重
8 K0 O1 C. a m# X4 C2 OTangent line, 切线1 B! o# X ^/ B
Target distribution, 目标分布( u6 O( \0 g+ o M# A( B8 j2 u4 q
Taylor series, 泰勒级数7 s* D, z7 k& f0 m, G
Tendency of dispersion, 离散趋势) q+ ]7 {6 W ?; z' ~; v7 x- r8 h9 p
Testing of hypotheses, 假设检验; q: H% x6 U- ?" x
Theoretical frequency, 理论频数% [. `! h( E% T5 {; d
Time series, 时间序列
; T$ s- j2 o* T) U, E4 kTolerance interval, 容忍区间
! {8 `5 R$ Q# PTolerance lower limit, 容忍下限
- m( W& @9 |( g% }- N* M' w/ v% ATolerance upper limit, 容忍上限4 V( l( X3 }& Y- w" K! X
Torsion, 扰率
' O1 ^7 b5 X" s- `Total sum of square, 总平方和. e3 L# L& |& j+ ?% S9 t4 ?
Total variation, 总变异. w6 M& W" W7 V. ^) @9 E
Transformation, 转换$ E1 ?! p" L+ f8 E$ {; u4 X8 k
Treatment, 处理8 o9 |! A! S- d2 ~/ P
Trend, 趋势
) A+ ]) K3 p4 r! G l' e5 F |Trend of percentage, 百分比趋势# z( Q) A. o/ a( R9 z
Trial, 试验
' _$ R% c8 E. t. R: [Trial and error method, 试错法
Q/ {! I0 v$ {( W8 o7 B6 P; u/ }9 q6 |Tuning constant, 细调常数1 d! v" Q" S" v! E5 y( I! O/ T
Two sided test, 双向检验
6 Z- a0 H. b. y6 }7 X% ~Two-stage least squares, 二阶最小平方# F* ?+ Y/ E/ N) q! D
Two-stage sampling, 二阶段抽样
, C9 b' p# J% lTwo-tailed test, 双侧检验8 K. \, u$ H% X, h5 @
Two-way analysis of variance, 双因素方差分析& m8 n+ V y' I/ Y& ~% o/ T
Two-way table, 双向表
2 b) z6 a$ C3 |' e% BType I error, 一类错误/α错误& @- c' a- x4 Q! R9 R; ^
Type II error, 二类错误/β错误
. P; A+ H* |* b) ~! p( ?9 X0 x" z1 tUMVU, 方差一致最小无偏估计简称
! C( C# I4 R# y# xUnbiased estimate, 无偏估计7 y3 [8 x' J4 T- Q$ Q
Unconstrained nonlinear regression , 无约束非线性回归
% m1 I! t6 k M5 D0 X4 n$ E2 `Unequal subclass number, 不等次级组含量
0 a7 c5 i' u* c% W1 |! P: }0 zUngrouped data, 不分组资料
/ W# m) H" R6 B: b% F/ J+ v; OUniform coordinate, 均匀坐标: a2 Q. s, j1 r1 }/ J Q
Uniform distribution, 均匀分布
5 p' {9 }& H& n. Z& KUniformly minimum variance unbiased estimate, 方差一致最小无偏估计, ^, W: `; t' d3 \6 G" i
Unit, 单元7 w4 l1 k- R0 H7 c7 _
Unordered categories, 无序分类" U6 }$ _# s0 `* t* C" V
Upper limit, 上限, j, r) H0 i) f& t
Upward rank, 升秩
9 h$ x% W& X% _4 b) f+ HVague concept, 模糊概念; ~+ a. y/ P- l
Validity, 有效性
1 n" S' p- v; l* S* Q3 bVARCOMP (Variance component estimation), 方差元素估计
2 m) {: Y) C: R9 }Variability, 变异性
\5 v, c' P% f/ t7 I1 _0 dVariable, 变量; E7 z1 H6 f! f% U: Y& a& K
Variance, 方差
9 u7 {3 Y: t, @9 H. n) T7 N% P/ gVariation, 变异' R/ D; J" z6 N2 [. x
Varimax orthogonal rotation, 方差最大正交旋转
/ R- @% n% e( ]1 w7 cVolume of distribution, 容积% V0 e* x3 K, b% r
W test, W检验
/ X, H! c7 i" G; ]$ l7 XWeibull distribution, 威布尔分布- t+ f2 p e: g% R w, ` g
Weight, 权数
9 a7 D5 ?2 V8 C/ ~- OWeighted Chi-square test, 加权卡方检验/Cochran检验
$ Z+ t7 j: ]& @* E1 DWeighted linear regression method, 加权直线回归9 Q. f% [+ {/ E. d0 `8 ]+ b3 u9 O
Weighted mean, 加权平均数
5 t* ^& ?: N4 l# _1 ?Weighted mean square, 加权平均方差
& `+ \' G2 q. p3 H2 A+ l' }Weighted sum of square, 加权平方和
; A- U# s3 b) u" j( z+ ]$ Z# OWeighting coefficient, 权重系数8 G$ W! ?4 I$ _, W
Weighting method, 加权法 # t Y- z6 i1 ?+ O
W-estimation, W估计量7 u4 ]1 P8 a: f( l K
W-estimation of location, 位置W估计量6 i, b5 U/ B/ j
Width, 宽度
( n" ]! N) {7 V+ Y$ EWilcoxon paired test, 威斯康星配对法/配对符号秩和检验
: D' Q7 \, t9 i9 j; }2 oWild point, 野点/狂点
, i! o! [5 c, [, AWild value, 野值/狂值! u2 t6 `2 q9 f2 j# _# C( A: ^, T
Winsorized mean, 缩尾均值
8 N3 ?. w2 P) G- @5 `. L2 c& xWithdraw, 失访
/ L" Q, o8 K4 o" W# D9 j" A( H1 uYouden's index, 尤登指数
- B$ ~6 o+ s) G$ N0 ^& y; A( }Z test, Z检验4 A6 \$ D! H0 u* ^* o
Zero correlation, 零相关, D2 G, B$ l9 B3 G- x' B
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
