|
|
Absolute deviation, 绝对离差0 A) p' t9 m( T; E' c8 }
Absolute number, 绝对数& E9 Z) i& w+ ?) A
Absolute residuals, 绝对残差+ J2 S3 z% c6 ]8 G& D1 `' |& N0 X8 u
Acceleration array, 加速度立体阵 [8 q& h! C, n @" N6 J" f( Z
Acceleration in an arbitrary direction, 任意方向上的加速度
. M/ y1 r1 r& t- x# K$ eAcceleration normal, 法向加速度
6 s7 w1 T5 h/ V2 wAcceleration space dimension, 加速度空间的维数, a6 E- k- j0 u5 W$ k
Acceleration tangential, 切向加速度# J$ H4 N1 r* p J; T: s/ h) ]5 w# D
Acceleration vector, 加速度向量" t( W3 E! o4 D7 J* ?
Acceptable hypothesis, 可接受假设+ N& N* a m4 u& P. g8 x
Accumulation, 累积
~. O8 D6 K" s# n! y$ BAccuracy, 准确度
; c& D9 R! Y% g; r8 ?& uActual frequency, 实际频数
) a$ i% P# b; L& D& n, w1 O' S# P9 V3 hAdaptive estimator, 自适应估计量
$ z' Y h8 n! a8 q7 yAddition, 相加3 i; [. x! F6 V p' F
Addition theorem, 加法定理0 H/ w, z( f$ u) y* q5 x4 u# ?9 {
Additivity, 可加性% w3 \# p0 ?3 v2 l- [. D/ R( |/ v! R
Adjusted rate, 调整率
/ m( C4 J, Z- u0 WAdjusted value, 校正值
V3 G( t" `8 f2 E4 e- ]. DAdmissible error, 容许误差
5 s, G. ?7 [9 @- H! ZAggregation, 聚集性
+ M9 E9 C$ ]8 gAlternative hypothesis, 备择假设
4 R s" v0 U AAmong groups, 组间
; L* Y' q& S; _' {Amounts, 总量# z7 v* A: S/ E+ m, `) @9 N
Analysis of correlation, 相关分析
0 U( N# I' \- y k7 y: z0 W6 f1 q- [Analysis of covariance, 协方差分析
1 c9 K. ^+ D% D+ ?6 YAnalysis of regression, 回归分析+ n9 c# \# k3 @. t- g6 A/ S
Analysis of time series, 时间序列分析
% j0 h% p# D/ x2 H9 U4 n" SAnalysis of variance, 方差分析5 ^- p" \% ~. \2 q3 S
Angular transformation, 角转换; U% E4 a* O0 Y* z
ANOVA （analysis of variance）, 方差分析# F, y- D9 i' M) M
ANOVA Models, 方差分析模型! V. b' A+ `: d( q8 z& ~; {
Arcing, 弧/弧旋
$ `) x& Q" D6 P y* H+ x* A5 fArcsine transformation, 反正弦变换& R3 R8 c6 U p% ?
Area under the curve, 曲线面积8 l* V$ p+ u4 U0 U/ m. B& W
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
9 e3 ~/ H1 ^* r% V& X- k6 g3 B+ aARIMA, 季节和非季节性单变量模型的极大似然估计
( [9 R8 m# ]* T* b& r- gArithmetic grid paper, 算术格纸
1 f- f! L" Q0 `, a6 rArithmetic mean, 算术平均数4 W8 T* H! e$ t0 q5 l
Arrhenius relation, 艾恩尼斯关系
/ ]% l- K+ _3 r$ y$ b7 m( k: SAssessing fit, 拟合的评估# o- a! W. C6 E$ d8 T$ n
Associative laws, 结合律
+ N3 s+ ^% |; v6 z* H9 RAsymmetric distribution, 非对称分布
0 T2 p8 ~2 K" {! G8 ~Asymptotic bias, 渐近偏倚
' r" S8 Q- r6 r" q/ jAsymptotic efficiency, 渐近效率/ W4 B$ U: T% @- A5 d& v7 Z
Asymptotic variance, 渐近方差
+ w5 b# u2 j8 S0 e# t$ _! C" ?Attributable risk, 归因危险度
: i) B3 Z9 n6 p* H0 `5 N/ d3 CAttribute data, 属性资料
$ W& y5 K0 z6 d" @8 |9 b* AAttribution, 属性
6 }5 @9 s2 ~, c; p* R# Q% ?) dAutocorrelation, 自相关
" T ~! S% m6 J9 m, `/ e: b( sAutocorrelation of residuals, 残差的自相关
m# _ G9 B1 S: ~# }Average, 平均数
, u1 @ Y! r- H' h9 VAverage confidence interval length, 平均置信区间长度
+ a! {) A( u) }6 sAverage growth rate, 平均增长率: ?" w* P/ j9 {6 j d
Bar chart, 条形图; C7 F! A9 H* E
Bar graph, 条形图9 e/ c4 A3 m7 Q* z: Y+ A; w V
Base period, 基期
( i2 r$ f- [- NBayes' theorem , Bayes定理3 T3 w' S; E' o0 S j/ `" k% g
Bell-shaped curve, 钟形曲线) w; v$ d" @5 W& W. y
Bernoulli distribution, 伯努力分布
- o7 S$ o; x9 k% i. R P& |Best-trim estimator, 最好切尾估计量# S7 V; D- ]! f3 R) d7 @% B/ C
Bias, 偏性2 z" L1 x; N( f/ M: o3 ]( l
Binary logistic regression, 二元逻辑斯蒂回归1 d- u; q) `+ }( I. }% v6 L0 o
Binomial distribution, 二项分布
; [ F% v1 F. K3 R/ G+ KBisquare, 双平方
6 }- D, e1 z' ^9 X& U9 YBivariate Correlate, 二变量相关, W/ I8 q: D# c" i6 m) s& `/ S
Bivariate normal distribution, 双变量正态分布
/ Q- j" I$ T Q) I" ?) l0 e: l8 }Bivariate normal population, 双变量正态总体* s) r, n0 M! Z
Biweight interval, 双权区间( U2 g) \9 e- e; R- W" D
Biweight M-estimator, 双权M估计量
2 T1 y$ C: {3 H% c) N& h+ h( D# ?Block, 区组/配伍组
% Z3 X) n0 T8 `" xBMDP(Biomedical computer programs), BMDP统计软件包
7 n" g1 k/ l4 b/ M) X4 Z- hBoxplots, 箱线图/箱尾图
; X+ |8 [9 s+ q" eBreakdown bound, 崩溃界/崩溃点1 s5 B, x1 i$ w: [% O2 a
Canonical correlation, 典型相关 a% N! _7 {) i( K q
Caption, 纵标目1 |4 n( m2 i& s( R" j' G3 f
Case-control study, 病例对照研究( a( a2 A6 Z1 D" c$ ?
Categorical variable, 分类变量# g) p$ ]- F9 q. S) @ n
Catenary, 悬链线9 B( J+ H5 g8 p& e; O1 q& U
Cauchy distribution, 柯西分布8 y' t, W% ]. d7 m+ z- H$ a; n
Cause-and-effect relationship, 因果关系
. l# Y7 k! g. e# PCell, 单元( h f; f [& r% j0 K/ G3 ^
Censoring, 终检
* o. D# `1 F4 XCenter of symmetry, 对称中心
9 Y. K3 _; I) N1 Y4 f& pCentering and scaling, 中心化和定标) W' ?) x8 y1 A" o3 ?7 J
Central tendency, 集中趋势
$ o& B' f' a: V, n2 VCentral value, 中心值% r* b; L" S* G/ F, |: Q7 w2 V/ c
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测# i! H$ k: u S$ l$ {
Chance, 机遇
0 E' U1 Z1 i0 |/ y1 p! {Chance error, 随机误差
6 w" A0 D$ a; {Chance variable, 随机变量9 B- ^. \1 u9 Z. p, `
Characteristic equation, 特征方程
( a0 x4 a6 h* F' v G) [Characteristic root, 特征根8 f+ d1 @4 u; G1 T6 b" ]
Characteristic vector, 特征向量6 @( |) e$ w# R; d; l8 m/ G" K
Chebshev criterion of fit, 拟合的切比雪夫准则/ F7 t6 ?& A8 @( R8 M6 k; F& v
Chernoff faces, 切尔诺夫脸谱图8 V& K0 ]5 M# Z! o
Chi-square test, 卡方检验/χ2检验
2 Z+ L; T8 L' ?/ y9 I l+ X& nCholeskey decomposition, 乔洛斯基分解; w* d3 {& w7 u& j' | N3 P3 }
Circle chart, 圆图 " q2 c% o% O N3 o
Class interval, 组距
" f" J. Z+ ?; t& p, fClass mid-value, 组中值/ T' t, V, a" \
Class upper limit, 组上限
4 N" L, u' V; h2 J! Y& _* v0 d6 ?Classified variable, 分类变量. S* n. Q" m ~1 y$ w& K; U- z8 |; O( M
Cluster analysis, 聚类分析( ]$ s, }3 K, A) X+ y% l
Cluster sampling, 整群抽样
! K' q3 b! B2 @3 m% cCode, 代码2 i5 A7 {0 s3 s7 ^! g9 l5 T3 y0 F% d
Coded data, 编码数据7 Z+ E& Y" F7 m5 O, ^
Coding, 编码) B; l; N) f/ k+ N# H1 W
Coefficient of contingency, 列联系数
3 {' W" U t4 d4 x) Q" LCoefficient of determination, 决定系数2 ]* p" m( |3 T# N# Z' E
Coefficient of multiple correlation, 多重相关系数' `* F4 g* T- E* Z
Coefficient of partial correlation, 偏相关系数7 |- A3 c7 O4 d2 W; m
Coefficient of production-moment correlation, 积差相关系数
' {& p1 C" [5 @& F2 s- ?, VCoefficient of rank correlation, 等级相关系数
6 ^2 t' S) }& OCoefficient of regression, 回归系数. P: r3 U* S, _$ q
Coefficient of skewness, 偏度系数
- t' E" t9 {6 t! U" p7 hCoefficient of variation, 变异系数
* ]+ B1 E5 K* k0 u/ b# OCohort study, 队列研究# N& s% P3 W9 \" A# H4 h3 m. z
Column, 列
, c! c( B7 C1 _3 m: XColumn effect, 列效应: [! O5 h& R# X" b- B
Column factor, 列因素 N2 C9 c# w2 [
Combination pool, 合并( h: j& D+ a; \, M/ J1 `% _, M
Combinative table, 组合表
, a) B8 t$ e( H1 G+ J" F T' n$ MCommon factor, 共性因子
& `4 B- w( `7 \% {7 `$ U; ?6 r8 \) zCommon regression coefficient, 公共回归系数+ s4 I# ]/ p( f, y4 n2 G! t$ b
Common value, 共同值: X8 [! N! z" ]8 h& `# N" F
Common variance, 公共方差
0 s( b, b9 a! v% I1 B9 u: G1 ACommon variation, 公共变异$ Q0 o- z( s8 v& m6 O0 B# r
Communality variance, 共性方差2 |7 k% f/ k6 q* E
Comparability, 可比性
* L2 |2 t7 F% h0 fComparison of bathes, 批比较
8 U" F4 D" s+ c0 wComparison value, 比较值% j/ @' _9 k& U. P; y- f" i
Compartment model, 分部模型
6 H' R. q0 P" X/ i) e% A |Compassion, 伸缩
+ S8 k" n7 s$ ~4 WComplement of an event, 补事件
% y7 n) ^0 h% |6 A/ w% S1 p oComplete association, 完全正相关
: f9 w; o, v7 GComplete dissociation, 完全不相关
# X: e2 q9 F z) q5 e6 L0 f ]Complete statistics, 完备统计量& B0 \! U1 p$ S5 ]3 @8 G& T4 m
Completely randomized design, 完全随机化设计
0 m W+ I- {$ T$ dComposite event, 联合事件
2 u4 ^+ ?/ g$ s# {6 BComposite events, 复合事件
' m+ J2 V' Z" jConcavity, 凹性
) H5 Z5 U" M' j- nConditional expectation, 条件期望
) c; P& I6 U" i, M/ X3 SConditional likelihood, 条件似然3 S% ?8 h+ h5 { G6 k6 g. T
Conditional probability, 条件概率0 ], h8 `7 e M
Conditionally linear, 依条件线性- l( e0 C T9 y8 ^& ~
Confidence interval, 置信区间
; A1 h4 n/ o7 B/ o, N2 w8 A- cConfidence limit, 置信限
" g W$ ]* ]. g& L4 H9 F* `0 yConfidence lower limit, 置信下限6 q$ S' V' p, G! B
Confidence upper limit, 置信上限, W8 o. w$ F5 ~6 G" H6 p. _
Confirmatory Factor Analysis , 验证性因子分析
\, O+ M/ v8 X' F6 L( sConfirmatory research, 证实性实验研究1 C$ K: W' e# a9 e
Confounding factor, 混杂因素4 T% M; a; D" v
Conjoint, 联合分析# o2 s, m& A5 f8 p) S
Consistency, 相合性
# w5 E* \+ ?( z. Q5 [Consistency check, 一致性检验
# J6 Z2 d: V3 PConsistent asymptotically normal estimate, 相合渐近正态估计
p( {0 B) @2 b6 n4 XConsistent estimate, 相合估计3 B3 s" f- q) h% e4 C
Constrained nonlinear regression, 受约束非线性回归) P+ I) T# u! O+ }8 X% |
Constraint, 约束
5 ~- F/ f. p! _2 x, [: rContaminated distribution, 污染分布+ F: w; t) b! N$ F' P
Contaminated Gausssian, 污染高斯分布8 |9 V; K3 Z' j
Contaminated normal distribution, 污染正态分布
4 k- L2 W( d k: P1 B5 W NContamination, 污染+ D( F' b. p: e* E# Z- w+ U/ q
Contamination model, 污染模型
2 o, E8 r6 S3 S8 A( u7 FContingency table, 列联表
$ F+ B( k* `. MContour, 边界线
4 e& E5 ]0 A. X/ }0 oContribution rate, 贡献率
, c: \$ U0 P e2 T7 DControl, 对照3 [- L, ]+ M- |5 c/ Z0 X% E: T
Controlled experiments, 对照实验6 a. x& X! v* f1 E
Conventional depth, 常规深度: e& f ]% s! Z6 ]7 _: b% x5 @
Convolution, 卷积+ I+ Z+ V* E1 X% ~. a$ U) v
Corrected factor, 校正因子
/ U' W4 L# a5 |# w$ `7 ICorrected mean, 校正均值
$ U% W, F% z- g* n$ TCorrection coefficient, 校正系数& M: d* n; c' z0 A( ]
Correctness, 正确性' c1 B! g3 @6 A/ w9 H. A
Correlation coefficient, 相关系数* W- n# V5 D& Q- _- T
Correlation index, 相关指数9 r1 t( H, _+ r# J
Correspondence, 对应
/ P9 o) X3 H6 d0 n: [Counting, 计数2 _/ S& b; Z3 n$ N/ f& o9 n, _+ n+ G
Counts, 计数/频数
+ i! e* u: Q8 E7 w# }/ \Covariance, 协方差
3 N# e1 C4 ~3 b/ z, LCovariant, 共变 + Z4 m. Y" A- U) {$ h3 F
Cox Regression, Cox回归
6 Y0 a, Z& S; J- ?, OCriteria for fitting, 拟合准则$ p; C7 I; V+ T$ s) v+ X5 n7 ?
Criteria of least squares, 最小二乘准则% c" @) g' ^9 I
Critical ratio, 临界比
. q2 [6 Q5 k C3 T2 s: A& y5 fCritical region, 拒绝域' [" H' @5 c& p
Critical value, 临界值4 G" A! D7 ?. U' F' ~+ m$ v
Cross-over design, 交叉设计
4 ~& C, E0 t& ?& Y4 C8 i$ \Cross-section analysis, 横断面分析
2 A3 H7 s% R7 Y& Q: a$ m) s: \1 mCross-section survey, 横断面调查; ]3 {* ?9 J5 R3 w5 M' |
Crosstabs , 交叉表 ( F6 p5 E' K) [! t
Cross-tabulation table, 复合表
* e* b. K" y" o- \Cube root, 立方根- G( p, Y/ g* x9 x6 B: `
Cumulative distribution function, 分布函数
" d0 ]( Z$ e! s/ zCumulative probability, 累计概率
' O( n; C3 C5 o1 N, HCurvature, 曲率/弯曲. e; {% q) k+ ~1 v+ j h
Curvature, 曲率
# l, L( \4 c* T" _7 dCurve fit , 曲线拟和
0 d+ k# m/ o" y; V5 j; d8 t5 u+ DCurve fitting, 曲线拟合
7 ~& F9 x7 {( d! I+ B7 i! xCurvilinear regression, 曲线回归
4 C$ Z) V% O- t4 q9 Z! ZCurvilinear relation, 曲线关系6 `0 \) x3 D& o+ r, D$ ^* x, K# t
Cut-and-try method, 尝试法
. S" d( A/ t; N: bCycle, 周期- p$ u# L5 p$ X- Z8 w
Cyclist, 周期性
- O* @0 ~; Z& s2 B( m1 kD test, D检验
6 S1 c$ \$ ~" K' J- ?$ n9 GData acquisition, 资料收集* f- L0 l7 O s! A9 q1 U
Data bank, 数据库
3 _) D+ o- X n+ n, C0 gData capacity, 数据容量# Q0 P! V& v4 Q
Data deficiencies, 数据缺乏, V% q, I, x" I. }% G
Data handling, 数据处理) d/ ?2 o" W! }# R
Data manipulation, 数据处理
3 @$ n3 d0 D w, v$ @+ {8 h5 o" ?Data processing, 数据处理
; ?" m( C% x6 [" n, VData reduction, 数据缩减
$ @4 T7 X; f1 T+ mData set, 数据集9 J8 o1 Z; n* A/ A [
Data sources, 数据来源- @/ G$ l5 j# O+ ?7 x3 f# o+ C: L3 C% b
Data transformation, 数据变换
' a0 ~. W( E" H9 rData validity, 数据有效性2 y5 X1 P. ^( x$ Z. c
Data-in, 数据输入
; G" C9 s5 `! eData-out, 数据输出
1 t. G" G- J6 [% u l/ xDead time, 停滞期
. F8 x, ]4 h5 R- H. x; \Degree of freedom, 自由度
5 x% ?% W7 _& U! CDegree of precision, 精密度
9 _3 G) X" H4 u$ I' n, _' d7 h! pDegree of reliability, 可靠性程度9 j! k4 s4 V" Q1 X$ m
Degression, 递减- h7 t2 }: q: f6 B7 Z; e5 Z! c+ G
Density function, 密度函数. r2 M1 g* p7 N: T4 d4 D
Density of data points, 数据点的密度% Y( s. |: \8 y* O) c0 A/ M2 h' A/ q$ y
Dependent variable, 应变量/依变量/因变量
/ t0 U% v- I: L3 p$ d; \ rDependent variable, 因变量
( {- J' s( @. nDepth, 深度: @- o# a: G9 x! u- X
Derivative matrix, 导数矩阵- J e7 B o6 l$ t
Derivative-free methods, 无导数方法) N9 ~$ `! F8 v5 B% i! t& h
Design, 设计4 o6 z9 t( @7 _9 J( r8 T
Determinacy, 确定性. c! O* ? t. V2 _# Z: R
Determinant, 行列式1 y. @0 T/ ^% R' `, e* ^
Determinant, 决定因素9 j( y0 {( {7 i) z" q3 a
Deviation, 离差
0 O& \: Q( y! {- W+ z9 u( DDeviation from average, 离均差6 j5 a+ L# U5 x$ o
Diagnostic plot, 诊断图" }5 Y* ?1 G& ` \& v7 `. e
Dichotomous variable, 二分变量
9 K% h- L. j1 a& n) U. d1 ~Differential equation, 微分方程3 e& M, ^3 b0 V' C
Direct standardization, 直接标准化法
) ]# Q# m( r! D" t7 w m% ~7 B# uDiscrete variable, 离散型变量5 Y% ~1 O: E6 p0 e
DISCRIMINANT, 判断 , u2 D% S% E0 s9 g8 [+ t
Discriminant analysis, 判别分析
% P) I- d! p6 D+ JDiscriminant coefficient, 判别系数
/ i' z7 Y/ S/ a6 ~) D; MDiscriminant function, 判别值
# E; w5 Y5 U7 IDispersion, 散布/分散度
- x# y2 x8 k! \' M% q ?+ aDisproportional, 不成比例的0 Y1 x6 T. F) U0 Z
Disproportionate sub-class numbers, 不成比例次级组含量
7 S% v" |& O3 N" Z4 vDistribution free, 分布无关性/免分布
% q8 }* Q+ Y$ |* B, sDistribution shape, 分布形状5 w0 l$ A$ T# Q3 r1 _
Distribution-free method, 任意分布法" R+ p# @7 [. X. C: O Y, c1 q
Distributive laws, 分配律
, g/ f& h2 q1 I1 C, k: G+ w, UDisturbance, 随机扰动项 I( Y& A+ u% j- c1 a5 X0 S4 M% a
Dose response curve, 剂量反应曲线9 i N+ f4 L/ H. U( G. K
Double blind method, 双盲法! W( Y( N: l" S4 u
Double blind trial, 双盲试验
+ A% j) \4 C* W: Z2 o' ]6 mDouble exponential distribution, 双指数分布
2 H7 ]$ b* [4 J. f' BDouble logarithmic, 双对数
6 o$ Y% N, B# D1 lDownward rank, 降秩
6 ]& ]* l2 l1 w% `. [* P- `Dual-space plot, 对偶空间图
' Y7 Q7 X5 F6 Y- {% Z SDUD, 无导数方法9 @' k" H9 b( c' x1 ^; b
Duncan's new multiple range method, 新复极差法/Duncan新法9 b0 T( w% X/ P6 \
Effect, 实验效应
* N- W6 a( t& x% F5 b- R( hEigenvalue, 特征值
) q- y0 K& |* bEigenvector, 特征向量, K, U: @$ ?9 o3 T& k1 U. s
Ellipse, 椭圆1 n/ W- o+ n( Z9 P7 m- s9 s
Empirical distribution, 经验分布. k! u2 p7 s( L9 k
Empirical probability, 经验概率单位4 y( X' I$ i/ k5 ^( L
Enumeration data, 计数资料! r6 k5 |: Z* j, v. k8 d
Equal sun-class number, 相等次级组含量% U/ c. L5 l. j9 S
Equally likely, 等可能
! W" F" Y! t& K- i/ Q, s2 i' P0 oEquivariance, 同变性
+ a7 ^) z. [" i# {0 \' mError, 误差/错误8 m8 M& D0 K- @5 v8 {
Error of estimate, 估计误差
' V: M7 m4 E: Y3 N; cError type I, 第一类错误- y# `5 F+ o) Q! X: X
Error type II, 第二类错误8 N% m. C/ X! [$ B3 D' v
Estimand, 被估量
0 e* P0 b$ t$ TEstimated error mean squares, 估计误差均方" w) x6 X* b" a$ y4 l+ X$ |8 N: e. O! H
Estimated error sum of squares, 估计误差平方和
+ r% P+ `( [" m5 i+ @Euclidean distance, 欧式距离( |2 o5 g6 {5 J; Z0 y) R0 o% \
Event, 事件
; T c, [: }" l$ \8 L0 QEvent, 事件/ Z* z7 }1 v3 E* O
Exceptional data point, 异常数据点
# o# t( K' ]4 n2 Z; l; VExpectation plane, 期望平面, _/ K2 n% d: i
Expectation surface, 期望曲面
6 q+ h0 e) a$ R% r2 EExpected values, 期望值
7 A0 F$ s4 Z, Q8 i+ xExperiment, 实验
; l- w h) {7 x+ L; R$ ^6 PExperimental sampling, 试验抽样
. S8 m' K' f2 H+ zExperimental unit, 试验单位: A- _6 C; Q) H. w s4 R" @
Explanatory variable, 说明变量
$ J' m8 }% K2 N. E+ K* ^4 TExploratory data analysis, 探索性数据分析
" {" U* x, a; v4 r+ X) SExplore Summarize, 探索-摘要8 s# J. c/ K! `! P4 a5 I
Exponential curve, 指数曲线
( V* H* y1 T: n+ d; pExponential growth, 指数式增长
* X3 ~* q2 D' r1 Q8 R7 rEXSMOOTH, 指数平滑方法 z" H" w* O4 M
Extended fit, 扩充拟合: j# U' `1 Y1 u a, a! g, i9 C
Extra parameter, 附加参数
6 r+ S# B7 u: KExtrapolation, 外推法
4 T6 `! Q X# z8 WExtreme observation, 末端观测值7 e& l& J& h6 B$ m) h
Extremes, 极端值/极值; Z2 s+ ?( s; Z, l, t
F distribution, F分布
1 I4 O' w: S/ Z+ J; ^) N$ MF test, F检验
+ ~1 j, x: W2 p2 W3 o# xFactor, 因素/因子* h: h" }" _3 i' v* d
Factor analysis, 因子分析
l$ w- ^6 x+ q4 d5 a) d! m7 z" @Factor Analysis, 因子分析
0 Y; d8 P6 s1 S/ g) c' JFactor score, 因子得分
0 ?/ h( L: H. L$ H" F) N0 m1 uFactorial, 阶乘/ \% C5 t" ]+ ?: I) y: m
Factorial design, 析因试验设计
# P, @* d# A- W8 MFalse negative, 假阴性2 J, t) C- q/ ~
False negative error, 假阴性错误" x3 z" ]4 v8 L
Family of distributions, 分布族
& T! P( P. F) K% P% z* g% Q* G5 `Family of estimators, 估计量族
0 l2 d3 \' p. ?+ f) W; \' UFanning, 扇面
: f- p; A0 H ZFatality rate, 病死率
% I) j; ~' f9 w- N# {9 DField investigation, 现场调查4 C( V3 M4 e* M) l4 ?
Field survey, 现场调查7 F ]. e) E2 \9 Q8 _2 S
Finite population, 有限总体
' s* N/ p3 b# GFinite-sample, 有限样本
5 g1 q/ @+ [' S1 C1 @First derivative, 一阶导数5 e9 E% i7 z+ |6 l
First principal component, 第一主成分
S7 M5 d# I' @4 hFirst quartile, 第一四分位数, b! t. ~% W; C! r. o
Fisher information, 费雪信息量5 s- c5 N7 o8 Z6 t4 O5 _
Fitted value, 拟合值
U E& A9 ]/ J3 QFitting a curve, 曲线拟合; h9 W. Q. U8 c5 a4 Q' ^3 u T
Fixed base, 定基
: D- h) K8 M) S: ?8 G. x# F$ o2 c( FFluctuation, 随机起伏
4 Y9 {# K2 j- ~* h& K) VForecast, 预测( E# Q/ q) V9 Q9 ]
Four fold table, 四格表. N% { j9 X/ R7 f7 o! e$ x
Fourth, 四分点
, k. [& h3 Z" a. A, J% |2 mFraction blow, 左侧比率
/ R+ ^7 S+ _% _ n3 C2 z8 hFractional error, 相对误差
' D T9 i( w' C: [' P4 E$ \. V6 qFrequency, 频率$ _; G+ Z# R! v/ K7 b; _
Frequency polygon, 频数多边图
0 Z$ `$ U9 u4 U; HFrontier point, 界限点4 B4 f5 w9 Q& p, H' I
Function relationship, 泛函关系+ x% O( i& D! ~% f
Gamma distribution, 伽玛分布
( W$ E" u# O3 q! z6 N( eGauss increment, 高斯增量
+ q: }4 Z7 ?) E$ U( W( B: \/ EGaussian distribution, 高斯分布/正态分布
6 C# s' t6 p. y8 D0 x6 k2 X3 {Gauss-Newton increment, 高斯-牛顿增量
5 j6 n D g' K7 W; S" q, L- uGeneral census, 全面普查
9 J/ [0 W" t, O: X- C9 ~8 mGENLOG (Generalized liner models), 广义线性模型 8 x: {0 q7 c7 j" F% `+ |$ n. q
Geometric mean, 几何平均数
: N& O' b. g7 k+ j4 U& \% W. ^Gini's mean difference, 基尼均差3 w7 d7 i) @( {: w1 \6 F# ^( b
GLM (General liner models), 一般线性模型 2 V/ B- p8 l' ~4 C B
Goodness of fit, 拟和优度/配合度- L$ w, g) n* c6 ~
Gradient of determinant, 行列式的梯度; x; @! r" `* e4 ~
Graeco-Latin square, 希腊拉丁方
0 \. M/ ?3 W$ a7 |Grand mean, 总均值# b& N8 h9 n6 U1 r& R3 q
Gross errors, 重大错误$ R! t9 e! z( m7 [( x$ }$ v
Gross-error sensitivity, 大错敏感度
Q; x7 N8 g% Y: I! n4 aGroup averages, 分组平均/ h3 F4 d5 ]4 b4 [( W
Grouped data, 分组资料7 ~5 J7 C$ z* y$ [$ z" e0 j' p
Guessed mean, 假定平均数
' }! E; v# A: d% M1 B& F) UHalf-life, 半衰期0 i7 y) T& T/ R6 j+ b/ }$ m
Hampel M-estimators, 汉佩尔M估计量
/ w! Q! Z6 z4 ^Happenstance, 偶然事件
5 l1 ~2 x, N: ?1 p" D9 y! x ?Harmonic mean, 调和均数
, T; J. S- u" F7 Y/ u" z% I: E, LHazard function, 风险均数
* A. k. O6 U& A& B6 d, bHazard rate, 风险率
2 u0 N& h5 H2 u) HHeading, 标目 , G. l" j2 l1 G+ d
Heavy-tailed distribution, 重尾分布5 {& m# o% ^, u
Hessian array, 海森立体阵% J* K; F/ t' s' G: B5 o( a
Heterogeneity, 不同质
" G9 ^5 L9 T) x5 RHeterogeneity of variance, 方差不齐 8 K. `% D2 Z/ Y \
Hierarchical classification, 组内分组
) _$ h1 W8 I K W3 |! sHierarchical clustering method, 系统聚类法
& c- w A5 F* U- p. `High-leverage point, 高杠杆率点: r; d; \8 \3 y
HILOGLINEAR, 多维列联表的层次对数线性模型& V z2 H( I$ F# _9 X( _' g& k( s
Hinge, 折叶点
8 b9 c* N3 q1 ?Histogram, 直方图
; J1 V: d; }. ]6 ]6 J4 x: R' o. V5 p# aHistorical cohort study, 历史性队列研究 7 A. C( |( P- G9 o& H9 s6 [2 u0 U
Holes, 空洞
* ?' M. K% z6 } `HOMALS, 多重响应分析
P* r3 ~3 ]8 kHomogeneity of variance, 方差齐性+ z0 N- f) S9 t: L! z4 ~; P
Homogeneity test, 齐性检验
" j; A3 v& \. l: FHuber M-estimators, 休伯M估计量
# J+ J' [3 }. {8 z8 L; b( o! C9 lHyperbola, 双曲线) }" L0 S; O/ r/ s! i
Hypothesis testing, 假设检验
$ A* h" |* C7 l( \4 y1 h7 A+ N) RHypothetical universe, 假设总体- _0 h/ ^9 B0 v, q1 b
Impossible event, 不可能事件
. `! W A, \2 [6 U. }) H8 PIndependence, 独立性/ P! n ^+ [6 `7 C, a- z( T0 T( f
Independent variable, 自变量* i0 } H2 I6 |! V- W
Index, 指标/指数/ p( q& U7 Q+ f0 ?( y
Indirect standardization, 间接标准化法0 P3 J6 D1 ?- b( L0 D5 }" I
Individual, 个体
5 A# T5 E1 Y* c4 X2 yInference band, 推断带
2 g( r$ N. ?! E+ J+ A# Z- Z* fInfinite population, 无限总体
8 m d% A# Y/ q; @% F- |2 yInfinitely great, 无穷大) K R% e B' p/ A
Infinitely small, 无穷小
% \4 [5 U6 Y3 o: o& {* }1 J1 XInfluence curve, 影响曲线5 m: E# P# \0 c' ?' y6 r* t! [/ Z0 t
Information capacity, 信息容量
8 V# a' _$ q; m5 \Initial condition, 初始条件
; w) z8 M! l) _( E0 F3 @Initial estimate, 初始估计值
) i+ e2 K2 i) P Z* e5 N3 _$ f sInitial level, 最初水平. d0 j* o' l5 U5 T! u% s( g% j
Interaction, 交互作用3 g' }, ]# p" C* G# w3 t
Interaction terms, 交互作用项
, u% Z9 h3 J% \& ?- }* pIntercept, 截距
$ D. r. O' p6 o- a* LInterpolation, 内插法
4 R+ |* r! W8 J. Z# W! X7 _. L9 zInterquartile range, 四分位距; Z3 } B( E: ?( j- \0 C- q
Interval estimation, 区间估计, Y; s, l- P; I1 t1 }* g3 h# X
Intervals of equal probability, 等概率区间& t7 R- Y+ g: w$ s) Q4 \: B$ y
Intrinsic curvature, 固有曲率
6 _) W8 i2 v) H: U' \Invariance, 不变性
r7 u5 U* J }8 GInverse matrix, 逆矩阵7 W5 _! v$ w' t2 |: D1 d% v2 z
Inverse probability, 逆概率
, o0 }! w* Z) ]# w- F2 RInverse sine transformation, 反正弦变换
( G: g. m1 a. m `8 PIteration, 迭代 ) y! o! ? |" k1 [! P8 m9 B
Jacobian determinant, 雅可比行列式
9 R) W( a9 {. r7 _" ?7 HJoint distribution function, 分布函数
2 H) o3 y. y B* |$ a, XJoint probability, 联合概率
B# J- L, k7 z+ I' [Joint probability distribution, 联合概率分布; X3 y5 q# [% a
K means method, 逐步聚类法3 z/ H H! F( r& g; g3 I& h3 G# O
Kaplan-Meier, 评估事件的时间长度
, }# C! M0 D# cKaplan-Merier chart, Kaplan-Merier图
0 D) a$ _8 i. T/ a. }Kendall's rank correlation, Kendall等级相关
* @* _9 i" T' H! x3 h9 I" s5 N0 l; yKinetic, 动力学0 {; ]2 G, ]6 y4 A
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
& e i) [0 c7 r* F# _Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
+ J$ a" `) e8 V/ x) `; x+ x% bKurtosis, 峰度
# x5 g: ^/ j8 f: bLack of fit, 失拟+ ~2 G! l( g+ f: l9 a4 ]$ C% O
Ladder of powers, 幂阶梯
) r( A5 j0 _( o$ u* {, C5 XLag, 滞后# f' T7 c! i/ v3 u u
Large sample, 大样本
" u9 V8 I6 C. M+ A/ DLarge sample test, 大样本检验
- H. d# x2 H4 T' c% a+ zLatin square, 拉丁方
: ]2 [' [: n3 ?. }, ]Latin square design, 拉丁方设计
* A4 O& ?* L/ [3 m9 T6 x3 qLeakage, 泄漏
; u" Z5 [+ s. M7 g+ O3 o! ^Least favorable configuration, 最不利构形
" @% x5 F, C5 e0 o3 [Least favorable distribution, 最不利分布
" S: i4 }. j& b$ e& T* C2 F8 sLeast significant difference, 最小显著差法
+ p$ {" s' t( P L; Z( B& Z2 P# ]Least square method, 最小二乘法$ q# g6 P5 O2 K" p
Least-absolute-residuals estimates, 最小绝对残差估计/ y! s4 Q) d+ d2 W
Least-absolute-residuals fit, 最小绝对残差拟合9 g+ U( [# U6 w4 B, b) m
Least-absolute-residuals line, 最小绝对残差线1 ]: o$ b% w4 A- @1 l: E
Legend, 图例. S8 j8 { }, E! ^* F
L-estimator, L估计量
" b2 l5 _) X6 I4 |! F7 e1 mL-estimator of location, 位置L估计量4 M& u7 w L" W& l7 x
L-estimator of scale, 尺度L估计量; L9 a5 A L0 e% h0 ?+ q8 r; {
Level, 水平) E+ h2 R8 j3 ~# \( @( q
Life expectance, 预期期望寿命
) u( T; Q/ k8 @& ?# rLife table, 寿命表 w9 z; ?# ]. }4 c( k6 h6 g: i, u
Life table method, 生命表法1 Y n$ g' _' s1 H! V5 A
Light-tailed distribution, 轻尾分布
: t1 R2 d6 l7 `8 DLikelihood function, 似然函数5 @# E* x, c' b
Likelihood ratio, 似然比
! G! m- ]4 i9 X) E( fline graph, 线图
& s6 @1 N* T/ f! R! O) uLinear correlation, 直线相关
7 k! t* `6 l9 R' L7 H# C; A# TLinear equation, 线性方程8 k1 u( V" n- q
Linear programming, 线性规划
# C# t$ @. x3 }" m0 DLinear regression, 直线回归
( o- ^. W8 i2 A7 w: pLinear Regression, 线性回归$ ]. I9 w2 N4 j8 f' P
Linear trend, 线性趋势
0 [, i6 ^1 N1 L9 g! E, X- hLoading, 载荷 - o2 \; m- V v0 H9 R1 u
Location and scale equivariance, 位置尺度同变性
% v8 Y) F+ L2 T* h, \' r, rLocation equivariance, 位置同变性. g. J8 S3 i' A
Location invariance, 位置不变性6 V7 z+ b+ v) {. D) H. t
Location scale family, 位置尺度族
9 B* Q& _ d0 P, \- U5 L5 nLog rank test, 时序检验 ; k" [4 c6 ?, V0 u, `
Logarithmic curve, 对数曲线
# p" o% q* R; MLogarithmic normal distribution, 对数正态分布: t1 ~3 E- ~, l6 R7 @" W
Logarithmic scale, 对数尺度! T) M. f1 f, B8 |5 X# e, [
Logarithmic transformation, 对数变换 K# q0 _1 k, c, u N5 a: j
Logic check, 逻辑检查
# o; j0 m. f. O S) ^/ _, pLogistic distribution, 逻辑斯特分布
! X+ E+ |' \$ P$ cLogit transformation, Logit转换4 ?$ u' ` a. Z7 g: p0 G; j
LOGLINEAR, 多维列联表通用模型 & E" D4 k4 v h! `
Lognormal distribution, 对数正态分布( y2 \" j) s2 Z& T$ x# S
Lost function, 损失函数5 } X- K' ]2 l1 N
Low correlation, 低度相关. J7 I, ?; \' s# {
Lower limit, 下限+ D5 Q+ _: a8 F; m
Lowest-attained variance, 最小可达方差
/ q1 l& W `) z# D+ m! [* q& m" ]# pLSD, 最小显著差法的简称+ Y' v- U! X& X, Z2 P1 K9 z E
Lurking variable, 潜在变量
5 e! S% s% \# }7 K' P/ D( mMain effect, 主效应! {) Z- ~: u" \! A) k# m. X m: F
Major heading, 主辞标目
5 Y6 ~2 a' Y% |Marginal density function, 边缘密度函数
5 Z9 Z( s& y6 Y- R$ X' q: rMarginal probability, 边缘概率
7 i" D( R9 }2 f7 F' y5 a$ ~ ~Marginal probability distribution, 边缘概率分布
4 K7 ^$ X4 O! ~: O% S" sMatched data, 配对资料+ n% b2 Q& _& V* a
Matched distribution, 匹配过分布2 Z3 n2 C3 B- K& ?4 Q! s
Matching of distribution, 分布的匹配
2 l8 h7 O {5 j" u* S. jMatching of transformation, 变换的匹配
3 l4 g9 ~3 g1 t* `2 F! EMathematical expectation, 数学期望
@' r1 }, p! x' q2 HMathematical model, 数学模型
" P8 t; F0 l4 c4 D: |Maximum L-estimator, 极大极小L 估计量' u/ |' }% x8 n; ]
Maximum likelihood method, 最大似然法2 U. T0 P9 V. B0 P* @7 a3 Y
Mean, 均数* L7 o- n9 w; s. e e
Mean squares between groups, 组间均方
& {5 O1 n: Y5 F, t# E& h4 RMean squares within group, 组内均方1 B/ N9 V) p& ?
Means (Compare means), 均值-均值比较
: r* @* [7 p; \Median, 中位数
+ d# k3 t2 o+ jMedian effective dose, 半数效量
% L# M# |0 r+ V" PMedian lethal dose, 半数致死量
* n5 A i8 L, n# d; G( c2 x$ w1 rMedian polish, 中位数平滑
* J, R0 x; h9 m- v/ |% b0 L* CMedian test, 中位数检验7 T+ {7 G" f- E" p
Minimal sufficient statistic, 最小充分统计量" L, O O& \7 P4 Y; E1 y
Minimum distance estimation, 最小距离估计/ c9 ^8 u" Z: S# \, }
Minimum effective dose, 最小有效量
2 M/ U% Y$ ~% n6 s# FMinimum lethal dose, 最小致死量$ x- H" g4 M$ ^# K: k6 f( X
Minimum variance estimator, 最小方差估计量
}5 ^* R9 a* [, a1 r$ XMINITAB, 统计软件包" ~) n' I5 x: X! O% c- G# E
Minor heading, 宾词标目& Z4 c. I; U4 z" D0 S2 N7 r
Missing data, 缺失值 w G5 T$ t. u; ^' Z2 Y
Model specification, 模型的确定: m5 n0 h% d" H. l' b$ |; [' r% u
Modeling Statistics , 模型统计
) t1 I' S7 K* }: }/ uModels for outliers, 离群值模型6 U/ j1 C3 ~8 Q
Modifying the model, 模型的修正 h. x9 z9 m" V& k3 `: a6 z
Modulus of continuity, 连续性模
. ?# ^2 R; f" t; P. ^Morbidity, 发病率 4 v) r( W! V B
Most favorable configuration, 最有利构形) ?0 l+ K" k, g: f) G n! F
Multidimensional Scaling (ASCAL), 多维尺度/多维标度0 K, F; O, ]' l, D
Multinomial Logistic Regression , 多项逻辑斯蒂回归
$ h6 u4 q8 R2 A) t3 fMultiple comparison, 多重比较
3 Q, ?4 |4 a% T6 G+ m5 OMultiple correlation , 复相关, b- t: W( e& i5 s! [2 t- k0 L
Multiple covariance, 多元协方差0 I. ~- i/ S" }1 s5 F
Multiple linear regression, 多元线性回归
1 [: h" f$ `$ I' oMultiple response , 多重选项6 N0 l+ k9 u, C$ s8 V# t
Multiple solutions, 多解
6 r3 v, C, ~# B/ a$ O+ w, i" hMultiplication theorem, 乘法定理5 V5 m% q: _/ F% E8 a3 O
Multiresponse, 多元响应
. r3 a, B. a7 C% b+ e) i- gMulti-stage sampling, 多阶段抽样
e% Y3 Z# }# m! u1 @" TMultivariate T distribution, 多元T分布
" [# i7 [* o5 O) s# bMutual exclusive, 互不相容
P4 d( \* D* L2 z1 a5 j% MMutual independence, 互相独立
# F) E. l) [* INatural boundary, 自然边界, z' b, e" ^ j0 X
Natural dead, 自然死亡! I: o# n& u) |
Natural zero, 自然零2 I: k; z; g' \; }* _
Negative correlation, 负相关
0 Y( T$ ~9 `" v* {. L+ q2 B: Q6 sNegative linear correlation, 负线性相关
; H- {1 d0 N2 z1 _- U$ b2 K; `Negatively skewed, 负偏
- e7 _ R$ Q: P* RNewman-Keuls method, q检验
1 H2 }" l$ _2 J* l: S, f* nNK method, q检验& H' O$ Y8 E q
No statistical significance, 无统计意义
. e8 L% w1 U& ANominal variable, 名义变量
# S" {- r1 X B9 H- ?6 VNonconstancy of variability, 变异的非定常性
9 q8 { k4 h, X" x1 V% A! SNonlinear regression, 非线性相关
4 w0 b& D7 I9 Y: M) V) {8 f0 RNonparametric statistics, 非参数统计
0 w9 ~ o: l1 |7 L! JNonparametric test, 非参数检验
" h2 q! N2 i* B, ^& oNonparametric tests, 非参数检验
9 u4 V3 N8 {8 q) s zNormal deviate, 正态离差3 a9 J! e& h+ g# t0 Q
Normal distribution, 正态分布
8 C4 N, a5 s! H6 [2 V; ^$ c9 SNormal equation, 正规方程组
/ A- {9 q0 @) T) U+ X/ h* aNormal ranges, 正常范围/ T" V/ X! a% J( B8 X9 V
Normal value, 正常值" I7 N; d. \( w3 f0 d+ t/ \! K
Nuisance parameter, 多余参数/讨厌参数5 g" n% Y" @# Z# @2 t6 M
Null hypothesis, 无效假设
8 k* H" e: i) g: w! _/ KNumerical variable, 数值变量
, Y0 j0 _" V% X' E4 UObjective function, 目标函数
- [) ~7 T3 {$ u0 r+ A. lObservation unit, 观察单位7 {" [4 t: k& D; A9 C
Observed value, 观察值 L; x8 a" @6 [
One sided test, 单侧检验9 g9 H9 T4 v3 u j
One-way analysis of variance, 单因素方差分析
3 R+ k; E; T8 T% b$ K5 L# {' vOneway ANOVA , 单因素方差分析+ {: s$ H4 t5 @# S8 u8 I" j2 m
Open sequential trial, 开放型序贯设计4 J8 ^6 l* |! l6 t& h; V5 | }
Optrim, 优切尾
; S8 y# H& W3 A* X; ]Optrim efficiency, 优切尾效率8 O6 W3 P6 Q: f
Order statistics, 顺序统计量
4 ?* l* K+ N4 C5 FOrdered categories, 有序分类* S( j r* j8 K. S( }
Ordinal logistic regression , 序数逻辑斯蒂回归
4 w/ I* f$ z6 C" a- OOrdinal variable, 有序变量
2 Y& l4 p0 y( }Orthogonal basis, 正交基% h4 B, h5 k; @- _9 X7 `, {# L
Orthogonal design, 正交试验设计; D" C0 |' z0 U R" o
Orthogonality conditions, 正交条件
: z' m& o' M5 ^2 n! v6 m* |ORTHOPLAN, 正交设计
- u& S% Q& G( }Outlier cutoffs, 离群值截断点2 U5 j/ {) [' x8 a* F9 w' f
Outliers, 极端值5 M! Y8 Q$ I# ]4 ]: {4 d$ P) D
OVERALS , 多组变量的非线性正规相关 $ ?! j0 c( b7 d4 }8 C: h
Overshoot, 迭代过度2 ]# I9 X/ h; |" l$ n
Paired design, 配对设计
: R1 o: Z! M! W# \* X9 oPaired sample, 配对样本
# o+ G. J0 H) Q7 s4 ZPairwise slopes, 成对斜率
8 X2 B. w L1 ?3 Z0 y4 dParabola, 抛物线' A% G4 @+ D+ {! q
Parallel tests, 平行试验# l) _7 r: R, O9 C" |% l5 f2 n
Parameter, 参数
% I) b3 K, q$ c# OParametric statistics, 参数统计
1 y- `. G% T5 P+ T: ?Parametric test, 参数检验9 E/ ]. p: J5 \- b( U/ K* T
Partial correlation, 偏相关
& g1 I j6 ]! U' D3 v o# b5 MPartial regression, 偏回归
; a3 q7 X1 ~7 \+ W( RPartial sorting, 偏排序' N# P; o# b% }4 w5 N, N- G2 G
Partials residuals, 偏残差3 p+ _6 D( g+ `: ~& q8 \
Pattern, 模式
4 y2 r6 R4 Z3 z& yPearson curves, 皮尔逊曲线
+ F* L5 _* l( V5 bPeeling, 退层
( C; g) c* d* [Percent bar graph, 百分条形图
3 D$ t) J9 i1 X, ?8 ^% nPercentage, 百分比3 Z# Q3 ?9 R6 n: q- e- g
Percentile, 百分位数( ]5 H I4 H+ [: i
Percentile curves, 百分位曲线
0 \) R4 @2 ~& X4 z0 ?0 IPeriodicity, 周期性: s5 r8 s! h0 c
Permutation, 排列
. r. Y7 J( A/ I( U: wP-estimator, P估计量- b U( O+ J: p* x
Pie graph, 饼图
5 G+ H. Z* k% D2 [7 B# Y2 K4 J% ^Pitman estimator, 皮特曼估计量1 B: N, r+ S0 s! J
Pivot, 枢轴量
. i% n( P7 _& ^+ _" ^( i' |- BPlanar, 平坦
# Q3 Q2 t2 G5 KPlanar assumption, 平面的假设+ p6 r+ Y8 O7 \3 U
PLANCARDS, 生成试验的计划卡; A2 D$ |; c) F7 b5 `2 H* q% o, w
Point estimation, 点估计
0 X: S! t' _ \. X7 {7 f$ f) }Poisson distribution, 泊松分布
5 d' r& I% l" I7 O7 x) C8 ?. ~7 GPolishing, 平滑( k9 n* q# o+ _2 M; G2 ?
Polled standard deviation, 合并标准差" d. [4 X/ D% @ j C( g- x
Polled variance, 合并方差
# Z& I3 [/ L5 x: f6 p& c4 nPolygon, 多边图
: _, P6 Q/ D4 ^2 I) W! U: VPolynomial, 多项式* r- z# w% T$ j: N/ L8 O
Polynomial curve, 多项式曲线
; |5 v/ v1 ?* d6 P7 e, qPopulation, 总体3 J" e$ G- o) ]% }: v9 r8 f
Population attributable risk, 人群归因危险度" O' V a. o" G
Positive correlation, 正相关6 k/ O/ K0 W) y! c* h6 w: Z6 L! a
Positively skewed, 正偏
5 J1 x/ ^6 E* Y: W# X. qPosterior distribution, 后验分布: l4 }6 U, U( V: m. D9 `3 ^
Power of a test, 检验效能5 {) P+ E9 I L# x0 K
Precision, 精密度- ?) c4 S) i) a
Predicted value, 预测值
4 B/ ]$ W' u* r. o2 kPreliminary analysis, 预备性分析
' [+ i' f" e+ K; w: @' E$ rPrincipal component analysis, 主成分分析
- c" H: L0 V- t! Z9 d. HPrior distribution, 先验分布
/ k; K$ _# G+ |$ f' @Prior probability, 先验概率$ a B: @. J8 x' W) J
Probabilistic model, 概率模型
) N- [4 j3 W8 ]probability, 概率/ J0 _9 u) S' J4 N/ C
Probability density, 概率密度
3 ^; k& _, ?# h9 M( s$ W- AProduct moment, 乘积矩/协方差
3 ]1 `' {6 c" p3 k. k6 `+ lProfile trace, 截面迹图
% f$ ^& K R8 ^7 m! N2 JProportion, 比/构成比
% P; B! ]% A9 y* U1 s0 B; g/ A fProportion allocation in stratified random sampling, 按比例分层随机抽样
( v( y q, Z% ?& u) V1 b8 PProportionate, 成比例
. g* t4 f; Q4 K& `% uProportionate sub-class numbers, 成比例次级组含量
6 \2 V8 u* _3 d t6 M( F2 m# yProspective study, 前瞻性调查
* N* M3 k0 Z% k c* n( HProximities, 亲近性 2 v# t* t: `+ _6 k" Y/ [. |( A
Pseudo F test, 近似F检验
! R3 G% L* `8 J; ]* E- DPseudo model, 近似模型
* f/ {, d ~) ]( O& bPseudosigma, 伪标准差
9 s" D3 a$ [1 Q, RPurposive sampling, 有目的抽样! [: g7 D# l% Z1 S. S9 Z! k( h
QR decomposition, QR分解2 e- P* I _4 n% A
Quadratic approximation, 二次近似7 p0 X- [1 p% i1 U5 J* D
Qualitative classification, 属性分类2 X( N' W4 B( P( `& |2 i4 s& z
Qualitative method, 定性方法
* k" J" \% X2 ~' A5 `) ]Quantile-quantile plot, 分位数-分位数图/Q-Q图
. x& g% F3 R( C2 \3 }' s8 aQuantitative analysis, 定量分析) E( T2 @" K# X' c
Quartile, 四分位数
$ }0 x8 a2 u6 k9 C) O4 @Quick Cluster, 快速聚类
0 b% S; i/ c Z" ~1 K4 WRadix sort, 基数排序7 j. K- i' q' h0 x9 p7 Y f
Random allocation, 随机化分组0 z l7 ~4 _ y. ]; b
Random blocks design, 随机区组设计, z" w4 \2 f% @' c8 d7 P# g1 I
Random event, 随机事件
1 k2 m/ k5 b2 V$ ~Randomization, 随机化
6 C. {, r0 M2 sRange, 极差/全距
4 C/ @2 b/ O' B" Y) e8 v( oRank correlation, 等级相关2 r/ @8 Q0 _3 H6 A1 A! }
Rank sum test, 秩和检验8 I- G, A; r7 \. K }
Rank test, 秩检验
6 l8 u, [0 r1 N* ]3 B/ N8 URanked data, 等级资料& ], l2 e5 i: K1 @$ Q9 S
Rate, 比率
5 m0 R& L( a# k$ Q% n3 w1 v5 KRatio, 比例* {# j2 d4 o- f: |
Raw data, 原始资料6 s" ~8 W5 l; z9 A) o. z. `
Raw residual, 原始残差
5 l, ^' _5 c( D( p; XRayleigh's test, 雷氏检验4 [9 N1 q9 Z h3 h% k$ @5 T5 y% X
Rayleigh's Z, 雷氏Z值
1 K1 T+ N2 \0 H* n1 zReciprocal, 倒数0 M( C- ]3 Z t: Q$ f9 g
Reciprocal transformation, 倒数变换
* i% {) [& ~3 [% hRecording, 记录
, s/ E8 P+ i0 K* cRedescending estimators, 回降估计量
: h4 S+ A7 l" f9 sReducing dimensions, 降维
" m/ y% Z: v7 {+ [8 e' WRe-expression, 重新表达
n' W7 [) p% J. jReference set, 标准组
! _: _7 X+ ?3 |. M! KRegion of acceptance, 接受域* V' I2 l+ k% u: m, p+ q) T
Regression coefficient, 回归系数
- Z# q% H# v& Q4 |Regression sum of square, 回归平方和
; V: f( X! [3 ]/ B) f7 PRejection point, 拒绝点* p% | J& Y( o6 b! O3 J2 E
Relative dispersion, 相对离散度
3 o" X" |4 W9 ^& ^: FRelative number, 相对数
& W! }- y$ s7 w8 uReliability, 可靠性0 B* \, u0 S: t2 L8 B
Reparametrization, 重新设置参数7 M( h) G" g0 @
Replication, 重复+ b; j- u; \8 T' n% f
Report Summaries, 报告摘要( [; ~7 E3 B! ? N# t2 d1 ~! e
Residual sum of square, 剩余平方和# y) W0 j. c' V& d* h
Resistance, 耐抗性
! C" d7 |: B& ?- qResistant line, 耐抗线; [0 K1 @ b2 O$ }1 z; \, i
Resistant technique, 耐抗技术
& o4 N7 c! w! \9 i1 z( _% yR-estimator of location, 位置R估计量
3 n" N: j' p9 `$ nR-estimator of scale, 尺度R估计量
; }' A5 y5 W( L, N7 q& VRetrospective study, 回顾性调查# R- Z z i5 s0 u/ X1 W
Ridge trace, 岭迹
5 P- @2 ^% `, G' Y% ^! @Ridit analysis, Ridit分析$ ^: a+ b* F6 N4 m! W2 N% _( C
Rotation, 旋转
4 J7 o. } b9 M$ l7 H* YRounding, 舍入4 b# D$ O2 y& A4 ]# s }
Row, 行5 S) h5 D: I n( O G. w6 O# C
Row effects, 行效应# m2 c9 X( j' v: c4 ]) Y
Row factor, 行因素: ~$ n& e# V9 ]" |' E8 Z" x" v
RXC table, RXC表. j8 S$ |1 B# u2 X1 m5 G5 L8 M
Sample, 样本# Y5 U. q" y" l
Sample regression coefficient, 样本回归系数1 \$ w. e7 n0 }' L( B2 r
Sample size, 样本量
7 P& h, ?0 w3 c3 G2 ASample standard deviation, 样本标准差
" q c& B2 B( u: X/ l* J' nSampling error, 抽样误差2 c6 q5 I, f# ^) B! B" ^
SAS(Statistical analysis system ), SAS统计软件包! d1 H; ?% k6 i: U" m$ t
Scale, 尺度/量表* Y% k: a+ z( w; F" l
Scatter diagram, 散点图3 i1 b* c' j" U4 j( c' {# c. s1 ?
Schematic plot, 示意图/简图
% l, y! ]4 F+ S! z; sScore test, 计分检验; W f+ M5 s6 g) Y
Screening, 筛检
" @! i& M( c8 x% ?0 @& Z. J w5 JSEASON, 季节分析 # X* N& h' Y, q R9 M0 `3 g
Second derivative, 二阶导数
# `0 p+ C0 l6 WSecond principal component, 第二主成分
/ T. f7 ]' I( p1 k& S' L! fSEM (Structural equation modeling), 结构化方程模型
& c' |0 ]) N8 O. BSemi-logarithmic graph, 半对数图$ Y9 t3 f8 O, U" s' z! P
Semi-logarithmic paper, 半对数格纸
, B/ V$ Q. M9 JSensitivity curve, 敏感度曲线: j7 {; H2 u2 w' p! f @
Sequential analysis, 贯序分析
- O; |9 n; E2 x6 b3 G( Z7 ]7 nSequential data set, 顺序数据集
( q$ j- S1 W: r$ O% L, B DSequential design, 贯序设计3 M' t! k* s7 \6 ?% j% K* e* Z
Sequential method, 贯序法
, N" l# k1 N& E/ Z# K( A* l3 xSequential test, 贯序检验法0 O0 E' _2 H# l' J8 t3 z+ s9 J
Serial tests, 系列试验9 q5 ~0 J; }8 |
Short-cut method, 简捷法 4 A: Q: q$ M& F6 F
Sigmoid curve, S形曲线
, x/ R9 P( G6 BSign function, 正负号函数
! O3 A5 q, A; t- U9 O: oSign test, 符号检验# u6 ^$ s# y7 S* [# l+ s
Signed rank, 符号秩. N; q" i' x4 ^4 t
Significance test, 显著性检验
2 K6 y5 t! s9 ESignificant figure, 有效数字
* F+ B [! _ g* d' }Simple cluster sampling, 简单整群抽样1 E* {6 `# s- \/ I) M' f
Simple correlation, 简单相关# X% V3 C9 D& @5 l* Y# L
Simple random sampling, 简单随机抽样
8 R2 V, Y$ x4 USimple regression, 简单回归
. B) U; K+ s$ c2 S5 ssimple table, 简单表+ ^9 H# i6 h; c
Sine estimator, 正弦估计量- Y# ]' W0 e- r3 b
Single-valued estimate, 单值估计
2 C6 H! i) [% ~1 V. BSingular matrix, 奇异矩阵- K1 t( q& u6 }2 F" X) y) ^
Skewed distribution, 偏斜分布3 O J5 [7 D9 M) o0 l% M
Skewness, 偏度
6 j* v7 a# f% i" b# r; \Slash distribution, 斜线分布. w: e; ?4 @( z% B
Slope, 斜率& K+ u- C0 D# Z# y( B
Smirnov test, 斯米尔诺夫检验
' I- E! P) E1 I( j u3 B X( CSource of variation, 变异来源, t1 s" C0 k, f) N
Spearman rank correlation, 斯皮尔曼等级相关/ ?! w7 r, S; n; R* S) X5 o
Specific factor, 特殊因子
% |$ |: \% L- }: z; ASpecific factor variance, 特殊因子方差
0 H- N% C6 H2 t, }$ a* B9 k$ E# nSpectra , 频谱8 r% T: ]. M6 Q! @' ~* w1 p/ O
Spherical distribution, 球型正态分布
* y' ^( q) D: m* ]" D* s7 ]' M. P8 P4 {Spread, 展布# @9 u$ o7 w$ [8 y* C
SPSS(Statistical package for the social science), SPSS统计软件包
3 Y8 z2 y' X# FSpurious correlation, 假性相关3 w. l- ^. U% N5 `" k# _8 X
Square root transformation, 平方根变换
4 D$ Q7 @9 T) |- hStabilizing variance, 稳定方差& ]& o' p% r- G$ _
Standard deviation, 标准差; d& v. I& W5 ]) _. p R7 p
Standard error, 标准误
- J9 {; h8 O+ g# N+ S( Q yStandard error of difference, 差别的标准误
* W7 Y: S8 B" n7 y5 VStandard error of estimate, 标准估计误差' f& y5 ~" M/ m5 K
Standard error of rate, 率的标准误: h) e* u2 m! t
Standard normal distribution, 标准正态分布- ]; r4 e h. l* q. }# c
Standardization, 标准化
9 [$ N# C6 e P6 U$ }& x w" ]Starting value, 起始值- }8 {: r" i; T% U: L4 i- p
Statistic, 统计量2 z8 C: D; E/ \$ l8 Q1 F/ ^
Statistical control, 统计控制
( Q6 j* r; r( N, [- p7 n) q: ^Statistical graph, 统计图
3 P* E! I( O, u6 U. Q, S0 qStatistical inference, 统计推断
/ r6 h1 ?2 _- I SStatistical table, 统计表" L# s. p6 q0 s' _* }+ ?; N+ D
Steepest descent, 最速下降法
" S3 n6 D7 z% J {Stem and leaf display, 茎叶图! p# o. `6 k( _
Step factor, 步长因子- x6 l3 {$ ]2 F+ d5 _* V+ C
Stepwise regression, 逐步回归; I* S, [6 o+ N. b# z; g8 ^
Storage, 存
" s+ `0 l. `9 A, @# SStrata, 层（复数）
+ W, L2 C; a* y1 X0 ?8 yStratified sampling, 分层抽样
* M) Z0 S3 p, I% {. \Stratified sampling, 分层抽样- `4 u* E. q) c: E. k0 t
Strength, 强度
; ?6 E( J3 H/ u- IStringency, 严密性
% S& Y/ ^+ {! d) I: ?Structural relationship, 结构关系2 \% N# `2 T9 n6 a u; g5 Q
Studentized residual, 学生化残差/t化残差
4 f/ \9 p# Q; F) \* L3 cSub-class numbers, 次级组含量
& g: I+ d0 |* ~! W. a1 fSubdividing, 分割5 `2 Y5 }6 I, d1 |
Sufficient statistic, 充分统计量
, e( I. |9 n W, z2 P, }Sum of products, 积和% Z. Y7 p7 W8 q/ v, @. K
Sum of squares, 离差平方和
; G1 P8 |: O4 v) p9 i, R2 T' ^Sum of squares about regression, 回归平方和
* @7 k1 X; F+ U O+ dSum of squares between groups, 组间平方和
" h! I" d8 W6 i0 q3 E) w6 A- T! NSum of squares of partial regression, 偏回归平方和9 O" d% e1 X7 F9 E
Sure event, 必然事件
# d% J" I) [7 D3 QSurvey, 调查- ]; ]4 I; g0 [& k5 h+ `& v/ g
Survival, 生存分析( |+ i/ ~6 N: D2 N
Survival rate, 生存率
- r2 M2 x: s3 USuspended root gram, 悬吊根图" n- i3 C/ m7 z
Symmetry, 对称3 D9 B! Q& X6 n! y
Systematic error, 系统误差# {% `( d0 _# r# W! l$ A: q
Systematic sampling, 系统抽样+ f3 {/ U! v! C4 r4 M$ M1 `7 v
Tags, 标签
* L$ P. V/ G, |Tail area, 尾部面积
4 G1 {+ s1 E, Y G7 u+ ^9 tTail length, 尾长
0 `) _* A$ X: v- u, G( m3 ZTail weight, 尾重
3 `1 G$ n( ]; O2 k5 vTangent line, 切线
3 X% }; N- }: [9 a! n" |/ qTarget distribution, 目标分布
: m% z+ w, _) V" F xTaylor series, 泰勒级数
6 w7 R. l: `7 \Tendency of dispersion, 离散趋势$ w0 K+ `) ~( Y; N, {
Testing of hypotheses, 假设检验
5 \$ r- K; e5 q- t' fTheoretical frequency, 理论频数
( \7 s1 c/ Q/ k0 z4 Z, RTime series, 时间序列
4 @2 y+ K8 g5 ^# J* OTolerance interval, 容忍区间! x1 r" k1 P9 H, _
Tolerance lower limit, 容忍下限
7 z9 Y8 f) l: }. r$ M1 pTolerance upper limit, 容忍上限
2 z8 Y3 q I- O; f! w9 aTorsion, 扰率
( y, K8 X6 I. o# O8 C/ v$ x5 h* h: FTotal sum of square, 总平方和( F8 C, m- ^& y; z
Total variation, 总变异
0 Q9 P. | w8 VTransformation, 转换# q4 v3 F* ^- d! ~) w
Treatment, 处理* f8 ]: ^3 X$ n8 [- |* r
Trend, 趋势$ S$ z$ k5 T) p1 Z' V1 i6 `
Trend of percentage, 百分比趋势# l# G7 O' h5 M( ]7 g {
Trial, 试验
& E9 e* n- f- Z! J' g4 ATrial and error method, 试错法0 b' }& e( w$ F" M
Tuning constant, 细调常数! q" A, b! }8 [" S* P; K1 s# l1 f9 w. I
Two sided test, 双向检验4 ~: A! M- D6 E" [1 o: R' @6 l2 `
Two-stage least squares, 二阶最小平方0 v# f2 O& @* d5 K2 w
Two-stage sampling, 二阶段抽样 I, Q7 J9 l) F# E/ O/ j1 _" e
Two-tailed test, 双侧检验
1 h& u7 H+ r4 t& [. @3 q; X2 U: zTwo-way analysis of variance, 双因素方差分析0 a0 L2 A# t& h' Q
Two-way table, 双向表
1 J" i& b1 |& {; @' Q* c( kType I error, 一类错误/α错误5 `, C4 s% P3 S8 C; m. m
Type II error, 二类错误/β错误! B6 d! h5 s' t
UMVU, 方差一致最小无偏估计简称
, }* C4 V$ m% j3 ^* n; rUnbiased estimate, 无偏估计
* |+ h7 o$ P8 |1 ZUnconstrained nonlinear regression , 无约束非线性回归; P' |: Z0 w! m
Unequal subclass number, 不等次级组含量
( }5 a* N3 p) g( s) M1 @2 m8 l7 h& fUngrouped data, 不分组资料
! [- W0 o+ F7 sUniform coordinate, 均匀坐标
! l! Q. S+ }' k$ a6 eUniform distribution, 均匀分布# |4 b5 `5 y% L' d
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
8 [% \& R3 ?/ b7 T1 pUnit, 单元 I! s& P- a: ~& B( K
Unordered categories, 无序分类" E% Q+ u d; V2 S3 I9 B
Upper limit, 上限
2 f& j! t' y7 G$ a [Upward rank, 升秩% P+ C2 a# K0 e1 S! v
Vague concept, 模糊概念: ~5 D/ V% X' m6 o, g
Validity, 有效性
% @- O1 M, h! `6 i: v' KVARCOMP (Variance component estimation), 方差元素估计* r& T' h. @$ s7 ?& M" Z
Variability, 变异性
5 {% M h/ X9 OVariable, 变量! j: q5 Y% G7 ~1 I
Variance, 方差
: x3 l. S$ N3 {) D, K' h; ~9 d& wVariation, 变异
7 C0 V+ f" O/ o+ C+ nVarimax orthogonal rotation, 方差最大正交旋转
& L' V( S# T5 b% e% ]Volume of distribution, 容积( F, M1 Q2 U) z( e
W test, W检验: b+ _1 v: v. j5 s
Weibull distribution, 威布尔分布
/ p. f2 w: `7 T: d; ]Weight, 权数' ]$ W3 V4 m [# [ V
Weighted Chi-square test, 加权卡方检验/Cochran检验/ c2 M0 V# H2 U
Weighted linear regression method, 加权直线回归
7 v' U* t8 ~( G' k' @' F* }& o3 K1 m6 rWeighted mean, 加权平均数
0 b P9 L$ i2 U. P7 J% `Weighted mean square, 加权平均方差
7 K0 E2 E9 u1 f; T% PWeighted sum of square, 加权平方和
% c! ^: n3 c% c8 Z0 o- K8 DWeighting coefficient, 权重系数8 f' ~" N% l" p2 z" x: J
Weighting method, 加权法
" I9 S( R/ G" ^# BW-estimation, W估计量: i& R/ p) @6 n3 R0 o, x4 T: h3 w
W-estimation of location, 位置W估计量
" N, {/ e8 e+ w3 p2 d$ _Width, 宽度) }% u1 M+ n4 ? n: g
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
% {8 ^( B8 @( C, \4 k6 ZWild point, 野点/狂点: \' W/ a# }* e: |, E3 \/ i
Wild value, 野值/狂值/ Y1 z. L. i' v2 i0 b$ z
Winsorized mean, 缩尾均值
' o7 W" D0 ?4 u. Z3 EWithdraw, 失访
/ B0 ]: c8 A3 D' T* O# f5 uYouden's index, 尤登指数/ d7 S; e( H4 C0 o
Z test, Z检验/ w" S) z u+ v4 g
Zero correlation, 零相关& T5 R! ~( X- ^ O2 Z+ [' [
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
