|
|
Absolute deviation, 绝对离差, q+ B9 E' u5 F4 n+ {- v: U& ^
Absolute number, 绝对数
4 q6 \( l7 X! x. G6 BAbsolute residuals, 绝对残差) x) x2 C$ D! W* k, E$ g, u
Acceleration array, 加速度立体阵
3 M; F4 u9 J- ] { g3 sAcceleration in an arbitrary direction, 任意方向上的加速度 [& d5 c8 c0 V. J
Acceleration normal, 法向加速度
& G% h9 L v/ R% C' O4 m! f0 |Acceleration space dimension, 加速度空间的维数
8 J: \2 K& ?# _( q3 j1 K2 y8 bAcceleration tangential, 切向加速度
+ F% K( w. S4 M/ E; z# BAcceleration vector, 加速度向量/ u; l! Y K6 X9 k o' e
Acceptable hypothesis, 可接受假设. y- P) g( V# n9 z1 c' w4 O* M& m
Accumulation, 累积) j4 M- {* H& }. W) [, u8 v
Accuracy, 准确度
" R1 H4 C% ^. L5 m3 uActual frequency, 实际频数7 T- B- {1 q' j1 N8 Y3 i
Adaptive estimator, 自适应估计量: G, y# q t8 e, z! W% |2 l. E( u; M
Addition, 相加' Q6 R' _; \6 h& w8 @9 J
Addition theorem, 加法定理* H% d- @7 O, \4 m/ x0 c+ Z
Additivity, 可加性( d# p/ Y: K' ^* y) S7 D/ T' E* v
Adjusted rate, 调整率
$ e, Q p2 L) e5 q, @% MAdjusted value, 校正值
- i3 Y7 U. X( |Admissible error, 容许误差
1 F& S/ `/ c N% Q" E5 P6 s s0 _Aggregation, 聚集性
; s! V. _- {% P# c, ^Alternative hypothesis, 备择假设; ~+ `, C) ~" }+ p) ?, `6 U
Among groups, 组间" N2 [ Y. a8 t* w( q8 u. |
Amounts, 总量) G; _" T( G5 T8 l
Analysis of correlation, 相关分析
# Z3 f. W0 K$ r/ y5 j$ TAnalysis of covariance, 协方差分析7 f$ V) \# G6 `
Analysis of regression, 回归分析
% R4 p9 z" [7 L0 c' IAnalysis of time series, 时间序列分析
0 \: ^" y ]+ v Z( c# [* T; K* G2 nAnalysis of variance, 方差分析4 g- U# q9 p/ X# r) S2 f
Angular transformation, 角转换
7 f8 O/ ~. c9 cANOVA （analysis of variance）, 方差分析8 ?4 ]( u& [* w: A( c
ANOVA Models, 方差分析模型
3 Q8 \+ T* h4 i" D4 [4 d1 P8 MArcing, 弧/弧旋* L* Z$ t5 u6 @7 B* [3 B
Arcsine transformation, 反正弦变换
# n0 v2 G3 u$ a e9 cArea under the curve, 曲线面积4 x$ ?+ N0 M! T# y: U
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 6 r {8 s) ^6 u# M
ARIMA, 季节和非季节性单变量模型的极大似然估计
. ]# z5 R4 Q% w4 `- j pArithmetic grid paper, 算术格纸
, c, C# r2 `$ H$ L0 o2 l3 dArithmetic mean, 算术平均数
6 Y2 l, z/ t! OArrhenius relation, 艾恩尼斯关系
% ~' Y8 q9 d6 \Assessing fit, 拟合的评估
- c* k4 i1 E# `7 s5 W+ k- VAssociative laws, 结合律: u# x* S8 w H0 x3 n3 Q
Asymmetric distribution, 非对称分布: K! g3 R1 O* w' p/ a
Asymptotic bias, 渐近偏倚
7 U3 K' A/ k8 Q; }# Q, v( g4 hAsymptotic efficiency, 渐近效率+ w8 d* d4 Y, s+ N4 M5 Z
Asymptotic variance, 渐近方差! v9 M4 @( l: d/ b- L$ R/ D K9 O# P
Attributable risk, 归因危险度
$ _1 o% P: [3 l6 c% @% `3 ?7 YAttribute data, 属性资料& }; [+ _$ k: \
Attribution, 属性
: m( C1 i a3 U: D$ kAutocorrelation, 自相关% z! ]# d+ {; V4 G6 P3 a8 m' P
Autocorrelation of residuals, 残差的自相关
R. ?# @# l XAverage, 平均数
& A4 W; A( t( \0 c( qAverage confidence interval length, 平均置信区间长度
7 [ T' n" A- t% tAverage growth rate, 平均增长率
2 C$ X0 R; l$ I) nBar chart, 条形图- l4 \5 j# F. [8 I5 T: T, @: J
Bar graph, 条形图. _' _/ m/ m* U2 h9 X# l; K
Base period, 基期
# d g' g/ v& z0 d' q& h# J" `# ?Bayes' theorem , Bayes定理( a0 {" e3 N8 b* @: J9 ^
Bell-shaped curve, 钟形曲线; o6 |& o( b/ W/ w( V& [* ^& l+ E
Bernoulli distribution, 伯努力分布0 \' l- w. {0 f- [6 }
Best-trim estimator, 最好切尾估计量
7 T, I4 h* K5 R) h. @0 IBias, 偏性
# U% w* [/ _- }. \8 Z, s9 c5 eBinary logistic regression, 二元逻辑斯蒂回归
4 G6 A: V- K4 [' Q* f3 TBinomial distribution, 二项分布& i0 R& Z1 {' u# }3 g
Bisquare, 双平方
+ G+ S+ b# L5 S" e! v. sBivariate Correlate, 二变量相关
" h9 G7 C0 c- I- J# J `* @# {+ vBivariate normal distribution, 双变量正态分布. \; J# D( K8 S9 |, @# I* B
Bivariate normal population, 双变量正态总体! y$ d9 N" E5 k/ p* {
Biweight interval, 双权区间. J3 t8 M/ V$ y5 q8 q6 ^7 I
Biweight M-estimator, 双权M估计量
* {: H2 T2 l4 f, [% q4 KBlock, 区组/配伍组
3 w3 O3 l% \" E0 k! P WBMDP(Biomedical computer programs), BMDP统计软件包
& W& J" P/ b9 L# U8 E5 T& K- f2 Z& B8 WBoxplots, 箱线图/箱尾图/ X7 Z$ J9 s5 H
Breakdown bound, 崩溃界/崩溃点
" a/ n0 v$ N6 w- nCanonical correlation, 典型相关3 X$ h, m8 q. S# X/ B$ _2 ]6 v4 `5 R
Caption, 纵标目
6 T) Z, ?2 D! yCase-control study, 病例对照研究; [- A$ [0 e, ~
Categorical variable, 分类变量
, G3 k$ B& y2 g; |2 x5 L# k& p- xCatenary, 悬链线& s5 d0 ?4 H6 H* r: Q
Cauchy distribution, 柯西分布0 z) p& Z* i& T- ? w/ o* H2 W
Cause-and-effect relationship, 因果关系3 u! y% h- F) M& Y" C
Cell, 单元
* Q. u& a& [$ ~4 a, E- f0 h' b% @Censoring, 终检1 E" G# e! ~+ Y. {; ]' j" W
Center of symmetry, 对称中心) V0 e6 W! S7 v' E6 K
Centering and scaling, 中心化和定标
/ M7 w' r U! H. Y+ {2 I6 `Central tendency, 集中趋势# g/ b" [6 A; a A! R( I* l+ o
Central value, 中心值/ P9 Y$ D& i7 o V7 O% d
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
' y. b9 ?% i7 l# K# zChance, 机遇
4 L; x. V# [; y/ |Chance error, 随机误差+ `+ K) n" `' t; k
Chance variable, 随机变量4 b$ e6 Y, V8 O9 P
Characteristic equation, 特征方程
, r7 i9 `2 k+ N oCharacteristic root, 特征根5 P4 i) f6 _. B, U( i, R: p. L) G
Characteristic vector, 特征向量
- D9 o o ~8 B# W/ V- _- sChebshev criterion of fit, 拟合的切比雪夫准则
# D1 U; h4 c! o) \7 I! |- \. h% W: X( t) q% PChernoff faces, 切尔诺夫脸谱图1 _+ n% S; {. F' d7 i, ~
Chi-square test, 卡方检验/χ2检验$ t( s- }+ Z) y' r
Choleskey decomposition, 乔洛斯基分解) ^4 }% o8 H" h1 n& v
Circle chart, 圆图
: a6 m0 H- I8 o, q l: X! iClass interval, 组距
. b$ K9 g$ _0 j, E' w! KClass mid-value, 组中值
" C% Q+ w( ^ e% N lClass upper limit, 组上限, j5 d6 f% O; v: K
Classified variable, 分类变量
& z8 k/ e2 _$ F/ w% gCluster analysis, 聚类分析8 [5 b- d- [/ `% u; x9 i# E
Cluster sampling, 整群抽样
8 }' L8 Y# s! [/ t. ~' c. _1 Y% kCode, 代码
1 |4 u$ | c% L& n5 O3 X5 ]Coded data, 编码数据
. O* [7 s+ P/ u* M7 Z/ uCoding, 编码, R( J7 H, E2 P) m# }
Coefficient of contingency, 列联系数
4 U4 [+ v! ^: VCoefficient of determination, 决定系数1 A! G# A- z* p L- X4 ^5 e* L
Coefficient of multiple correlation, 多重相关系数
- e' Q& L4 s- L0 ` X" lCoefficient of partial correlation, 偏相关系数
1 a, C3 _* G/ I* D' wCoefficient of production-moment correlation, 积差相关系数
1 ~' V$ v H+ a' C2 @* ^5 K* bCoefficient of rank correlation, 等级相关系数
9 K* }, I# K7 N# ~4 LCoefficient of regression, 回归系数- P2 j4 `) L8 Q! r5 K
Coefficient of skewness, 偏度系数
8 }# [$ P9 x& |, ?: O$ |* ^1 rCoefficient of variation, 变异系数6 U4 v6 A- l* e! w. s4 L$ X; o5 Q
Cohort study, 队列研究
% B7 e7 P1 P0 ]9 DColumn, 列
- C3 S6 d. R4 b+ l; FColumn effect, 列效应& |+ E# d' ?" L2 g& z% Q" g* N- ]
Column factor, 列因素
) Y7 q5 q4 R& g+ C: z2 kCombination pool, 合并
$ X: _3 d% [3 ~0 S* F# G+ r& |Combinative table, 组合表
6 R$ s( x$ I$ J# b" k* A/ VCommon factor, 共性因子/ E+ J) L7 |4 Q
Common regression coefficient, 公共回归系数4 V1 b2 |( m5 e1 o0 b( _2 u
Common value, 共同值. @5 b5 s; B& E" N2 O& ~- O' L
Common variance, 公共方差
~, s$ b& P5 X2 J. }Common variation, 公共变异2 `8 f0 ^7 D3 V r6 N' e8 B
Communality variance, 共性方差 d, v* y6 |( _0 Q2 K0 H. T
Comparability, 可比性
3 T- [: @' d4 f5 HComparison of bathes, 批比较# N) o. S7 r) r2 v' P* j1 z" Q
Comparison value, 比较值( f3 Y8 f0 F& ]% O3 _$ Z* Z0 K
Compartment model, 分部模型
# N6 P$ f+ ?/ x" F3 WCompassion, 伸缩
z# r7 [/ p/ }! N* qComplement of an event, 补事件& a- e5 L/ \1 W: H# C! d
Complete association, 完全正相关
$ ?$ S4 ~, S/ u. g2 u4 |Complete dissociation, 完全不相关2 P$ r9 D& ` N" y
Complete statistics, 完备统计量
0 g5 }1 A, L7 E5 ]: qCompletely randomized design, 完全随机化设计4 w# S+ \! z- k
Composite event, 联合事件
; o$ u' R! r6 A9 jComposite events, 复合事件: Z* S+ |1 j4 {
Concavity, 凹性, j0 g0 a+ b- Q' _
Conditional expectation, 条件期望% B% ?/ A! g2 c
Conditional likelihood, 条件似然7 P! G" @( u1 o3 C, X
Conditional probability, 条件概率; N6 k ]: x+ F0 M2 Z
Conditionally linear, 依条件线性
; I1 s! Z7 C1 n5 M5 Q% R0 hConfidence interval, 置信区间
& M6 q5 x; c- b0 p1 H' [, ^: W5 ZConfidence limit, 置信限8 X* v5 { [1 l8 s
Confidence lower limit, 置信下限9 p5 B# S" s. D2 ]3 z& P$ U
Confidence upper limit, 置信上限( G7 [" ]* A' s
Confirmatory Factor Analysis , 验证性因子分析( C G9 |" Y" r# s5 ~
Confirmatory research, 证实性实验研究
3 Z# L t8 d; q7 TConfounding factor, 混杂因素8 c3 [" G9 v$ m* Q7 K
Conjoint, 联合分析$ X+ i' t& t+ s5 \- [0 x2 D0 x
Consistency, 相合性. O7 n; |/ Y q+ s
Consistency check, 一致性检验! n# ?1 L4 o8 W6 `5 g3 `
Consistent asymptotically normal estimate, 相合渐近正态估计! s/ M4 h0 v$ O; t- D
Consistent estimate, 相合估计
6 n% G. T6 R* T# Y$ s s+ m/ O4 UConstrained nonlinear regression, 受约束非线性回归
" u+ i3 V* J; B' ?Constraint, 约束! V& @( Q8 P' e" r
Contaminated distribution, 污染分布
0 I( G- B! h5 cContaminated Gausssian, 污染高斯分布- `! l' ^1 z2 L* A
Contaminated normal distribution, 污染正态分布% L, }+ w; I' Y7 z" q
Contamination, 污染: _: }) H8 ]- O, v
Contamination model, 污染模型) V. Z( ]0 E, K* h( [: I3 d" ]
Contingency table, 列联表
7 W/ o1 ^9 f# }+ B% s/ ^5 W* C* c; QContour, 边界线
# Y3 ]- [1 U% V( [$ ^. l, u; R4 UContribution rate, 贡献率 \9 O9 [8 Q/ J+ C' Z
Control, 对照$ v7 [4 w% j3 \! @0 g2 ]
Controlled experiments, 对照实验( b# l7 w; C8 m0 m" \5 D
Conventional depth, 常规深度, {, K' z2 D! d6 T+ [+ a5 u" e# j$ y2 _
Convolution, 卷积; N( [/ _8 B1 N; l0 u$ I
Corrected factor, 校正因子
( R! t( p( k& NCorrected mean, 校正均值
' G5 Q* P- B# [) @: A+ _ @Correction coefficient, 校正系数
6 [+ c! W1 W7 N# l7 H, LCorrectness, 正确性9 x$ A% O+ @( [5 B9 S0 }
Correlation coefficient, 相关系数
3 L9 A! c1 \9 [5 Z9 aCorrelation index, 相关指数
, G* A6 ~9 p. e4 x. o. [: {7 ]6 OCorrespondence, 对应
6 d v/ ~. z- Y- Y& t MCounting, 计数+ e' |1 ]7 W% H; T
Counts, 计数/频数
- ^3 P3 [4 ~5 M: h) MCovariance, 协方差
: ]6 y1 F! Q5 }6 ICovariant, 共变 6 q1 U7 Z$ } ?5 J! X1 U1 q s
Cox Regression, Cox回归
+ H# s0 F1 d' r2 [ Y. D: n- K& BCriteria for fitting, 拟合准则
6 u3 V% a3 \# O$ B# I& F0 K7 s5 O$ fCriteria of least squares, 最小二乘准则
1 T. L1 f. K+ @Critical ratio, 临界比
& E& C) ]6 w; j% C" C, z; cCritical region, 拒绝域0 ~0 N: f" r, H% s6 W+ \0 O: T
Critical value, 临界值
/ ~ K9 o/ o8 y( k# n, T6 i2 S3 UCross-over design, 交叉设计
: d/ ?3 i# i- j9 c. J ]8 f+ @Cross-section analysis, 横断面分析$ M4 W. e8 ~1 L9 W
Cross-section survey, 横断面调查% k7 M4 ?1 U: E0 D* F
Crosstabs , 交叉表 |& F. g! f4 H+ P9 j
Cross-tabulation table, 复合表3 t+ v; `! a5 K' F! Z* p
Cube root, 立方根% c* J# I+ S+ F7 U
Cumulative distribution function, 分布函数
P# u3 G: a( GCumulative probability, 累计概率9 C! d) W' l+ I& N' G# i* T
Curvature, 曲率/弯曲
5 W2 S; X/ O+ S( c: i; |: X) d, KCurvature, 曲率3 T: l; r& K+ C) L' B5 Q# t- B
Curve fit , 曲线拟和 , U. {; s* p5 B v# X/ U- y
Curve fitting, 曲线拟合7 l8 ^. S8 p3 }9 w) j5 Q* M
Curvilinear regression, 曲线回归
) N+ P6 n' M S5 @8 }5 s0 ?Curvilinear relation, 曲线关系
+ l4 p. ^4 T; W, \9 |+ VCut-and-try method, 尝试法
/ u4 r& I' V# N K( ^Cycle, 周期$ c1 J0 _( ^/ U K& E0 h0 y( R& F
Cyclist, 周期性
/ h) V" N _1 T8 J1 b* T |D test, D检验
0 C7 q9 V. z4 p: S7 L% [Data acquisition, 资料收集# P/ p) B% J; H6 U/ ]
Data bank, 数据库! a( `+ }! E! f0 R
Data capacity, 数据容量
5 \& ~* r, D$ OData deficiencies, 数据缺乏$ \( E1 @2 F- y* h
Data handling, 数据处理' `0 L8 q' _ w0 y8 \! p$ A
Data manipulation, 数据处理: L& d+ b. @% A2 ]+ h6 I
Data processing, 数据处理' g3 h/ n- [# [" `, k- A
Data reduction, 数据缩减. |5 u6 n+ X+ E" w0 `7 T$ M
Data set, 数据集' L# D- ^4 B. Z M
Data sources, 数据来源
# k' y6 U4 _5 [* P% J; ?" j% }# T( mData transformation, 数据变换7 t* r' M4 F, N8 V9 x7 q: M
Data validity, 数据有效性. U4 O3 a9 r! m: k
Data-in, 数据输入/ F5 S% g+ A5 y \, q, O. n
Data-out, 数据输出
4 Y% O9 R+ P$ ]+ ] {Dead time, 停滞期
0 c' b& K7 y) K. dDegree of freedom, 自由度
- t+ H ]) C$ V9 u* D8 zDegree of precision, 精密度( s5 p7 v7 f: M4 c% ^
Degree of reliability, 可靠性程度
; D- ~' A5 V8 F) a1 tDegression, 递减4 _" [/ D# i3 X/ T( _2 V, t* [
Density function, 密度函数
+ m- Y, G4 j2 Z$ w9 ?! t+ ODensity of data points, 数据点的密度
' w2 {& S& y6 ]) R. }Dependent variable, 应变量/依变量/因变量
5 Q+ M! H$ q$ Y" C; _; ]Dependent variable, 因变量' {0 @ I8 L, o8 @
Depth, 深度
& |, a/ i" t6 y8 x1 S6 p5 ~Derivative matrix, 导数矩阵3 a T& p& V; e% H& d; {9 ~
Derivative-free methods, 无导数方法" D2 f" `- Y# C
Design, 设计' q5 r+ O: Z' `
Determinacy, 确定性
2 a5 I" K) [ u4 gDeterminant, 行列式( x. \* [3 q5 J; s z2 G" V; B4 D
Determinant, 决定因素
; ^8 }! }5 U5 @Deviation, 离差: a7 V. g/ k/ n) x, \
Deviation from average, 离均差
. D) i) u I3 Y3 I* ]" t* s8 G' IDiagnostic plot, 诊断图
+ \2 N* I# e: v" t: JDichotomous variable, 二分变量" x9 L# Z# t! Z y" I
Differential equation, 微分方程1 b/ Y9 b! k4 r3 B& D- T+ V* P
Direct standardization, 直接标准化法
1 L+ Z$ }; D8 }. r9 [+ F. G5 X, y: qDiscrete variable, 离散型变量2 }- o5 K# l$ N) I# e* @' m& b
DISCRIMINANT, 判断 9 H) {: d3 W0 J, a7 a/ g8 v
Discriminant analysis, 判别分析/ [7 V. E# o7 ]) W
Discriminant coefficient, 判别系数: [' U' k- U0 `' X) ?6 s
Discriminant function, 判别值 p) O0 u+ v$ |' f/ W1 O+ w' S7 z
Dispersion, 散布/分散度* V* R2 D! z- o5 h* g5 U8 y! R
Disproportional, 不成比例的$ I J' a3 q; m/ F* M7 e
Disproportionate sub-class numbers, 不成比例次级组含量% l8 S$ {: n" @0 S5 N- I8 T: O
Distribution free, 分布无关性/免分布! i; N. v- }( |5 O7 u
Distribution shape, 分布形状
6 G! i( {4 \: g9 k" {# p+ kDistribution-free method, 任意分布法
1 n3 Z+ C( x# ?" U S' @Distributive laws, 分配律
3 s( l4 H# ] o: w3 }Disturbance, 随机扰动项& f& |* p) @$ x. a: j
Dose response curve, 剂量反应曲线
# v9 W+ n/ S" {6 J f( e6 w9 aDouble blind method, 双盲法# x8 x) e# _* q8 s/ C% q: j) d
Double blind trial, 双盲试验
( J% O8 B5 I. q( EDouble exponential distribution, 双指数分布' y; F I9 ?2 M7 ~$ V
Double logarithmic, 双对数
. R/ n. X& ]" p" E+ N bDownward rank, 降秩
. r& M% F1 z" TDual-space plot, 对偶空间图3 a5 T5 n2 b; p- ^
DUD, 无导数方法: h# V; `- p& A# A
Duncan's new multiple range method, 新复极差法/Duncan新法
8 K, P+ o- B- [- v8 _Effect, 实验效应
6 G2 B: m5 @8 V" MEigenvalue, 特征值
: R& y$ r+ p! V* p# g3 xEigenvector, 特征向量 W9 x( S5 h( t' u8 i
Ellipse, 椭圆9 _2 k) E: q" _& @; M' {2 y
Empirical distribution, 经验分布( G$ i& q& N5 U0 J+ o- g3 T/ I: K
Empirical probability, 经验概率单位+ M# i3 T: L4 O" b# V
Enumeration data, 计数资料8 ~, D5 t- S0 ^
Equal sun-class number, 相等次级组含量
+ u5 |3 u. l/ S9 I9 N4 j3 ^' sEqually likely, 等可能2 n, S4 {0 ^" J W m
Equivariance, 同变性7 c$ X" `, k7 E6 u& M. N
Error, 误差/错误
4 ~, f! [# @" y3 f8 kError of estimate, 估计误差
* |1 v7 N& k- Q8 \Error type I, 第一类错误; W) ]. X$ ?% `2 ~! H3 F
Error type II, 第二类错误- C# K6 b# V) f8 S$ P2 N$ H
Estimand, 被估量
7 A+ w/ E( c4 y4 s; REstimated error mean squares, 估计误差均方
" g3 E0 t7 h- ?1 {Estimated error sum of squares, 估计误差平方和; T2 t2 h& l0 ?% `( R, x$ v
Euclidean distance, 欧式距离( B4 ]& c' Z8 b/ X2 A( U0 f
Event, 事件' R! D" `" G7 S8 ~, H
Event, 事件
/ m/ P2 M v( g4 {& K1 D$ I5 M5 qExceptional data point, 异常数据点. K: D' f0 m$ X# F9 m. ^
Expectation plane, 期望平面9 A% o S3 g1 j
Expectation surface, 期望曲面
- k3 V' w, \6 _5 r2 KExpected values, 期望值
0 w5 z5 g L9 P0 Q9 d6 uExperiment, 实验& u, d5 A9 A7 u" r U
Experimental sampling, 试验抽样
' u6 ]+ q) i+ P+ K0 D3 AExperimental unit, 试验单位* G+ E2 G/ F" Y( K8 M
Explanatory variable, 说明变量
2 y' F \! F5 f: o" G6 X9 G. sExploratory data analysis, 探索性数据分析
( s: W# y, w% k1 k# uExplore Summarize, 探索-摘要
8 s8 x, U" z2 g1 r% M+ X- u' BExponential curve, 指数曲线3 a( o9 R( a' J+ \# \6 m5 q; U
Exponential growth, 指数式增长
# r$ z) S; r- @7 `: p* f0 QEXSMOOTH, 指数平滑方法
" P& b5 S" W: v! A( Y: j7 N) n2 m7 a2 t/ SExtended fit, 扩充拟合
' _' t* s6 f2 OExtra parameter, 附加参数
$ d3 s) X2 D' |; n0 Y! ~Extrapolation, 外推法
( f+ Q1 ~8 d, j' D. P* m' iExtreme observation, 末端观测值
" a; T. Z* a. a# q+ T1 ]% V# iExtremes, 极端值/极值
) [6 t6 v3 ]+ `* w8 R$ dF distribution, F分布
. t: a8 `# R3 [8 u$ ?F test, F检验
1 }* O) Y% Z; b: cFactor, 因素/因子9 |' n0 b0 n9 V; ?( f! a
Factor analysis, 因子分析
' |) H3 {2 b+ N( c+ ]Factor Analysis, 因子分析
[$ z. H% j0 h+ \Factor score, 因子得分 / O; u5 V9 T" M* D6 u7 e' b# j
Factorial, 阶乘
9 D2 ]3 {; U$ T/ hFactorial design, 析因试验设计
; Y( s V$ ^- [3 G N5 h; x& K8 AFalse negative, 假阴性
, a* c0 U; a& Z9 fFalse negative error, 假阴性错误# w' W/ G7 Z$ N6 E# E
Family of distributions, 分布族
6 t; j, O( _2 z4 Z+ F/ U$ R& QFamily of estimators, 估计量族
) k5 f+ K8 \" U, y7 r6 M" D, gFanning, 扇面& f- P: e3 P# p9 N# g! _$ i
Fatality rate, 病死率
- D* I* g7 x; N2 Y: K% BField investigation, 现场调查
1 j* V0 Q* E/ q d# uField survey, 现场调查; N: U+ I( {% }6 ~) ^
Finite population, 有限总体5 k$ |( o( h3 E5 A
Finite-sample, 有限样本; P1 [6 R5 I2 R+ v& a v
First derivative, 一阶导数5 ~6 q5 v2 c' c7 s6 ^) w& F2 J
First principal component, 第一主成分
$ g& ~7 K$ _1 f7 G! k) RFirst quartile, 第一四分位数) ]9 ^& P/ H" I9 V1 S
Fisher information, 费雪信息量9 B. }& R. N+ ?, Y/ H2 q
Fitted value, 拟合值
" s8 r X! q, AFitting a curve, 曲线拟合
e1 H2 g5 W) m, n `* w9 S, @Fixed base, 定基/ z2 P5 M& v7 @- v- ]5 K
Fluctuation, 随机起伏
: Y1 p0 L& E1 S7 o! i& rForecast, 预测
9 |. z* c6 F4 qFour fold table, 四格表
/ [: h, E2 e5 kFourth, 四分点
2 {, b9 u" _5 UFraction blow, 左侧比率
# @8 I( a/ f4 x6 v7 MFractional error, 相对误差 v7 g9 S; [: H5 M6 U1 o: N% U
Frequency, 频率
1 T" C! X! ~3 D4 v% a( FFrequency polygon, 频数多边图
i4 D6 [ O' zFrontier point, 界限点
& B! G* s& ~1 X! G/ f4 |Function relationship, 泛函关系+ |0 v7 O8 V1 W. o* k* b. X G
Gamma distribution, 伽玛分布) \* R7 Q; N+ ?) S
Gauss increment, 高斯增量( K5 C8 X% |0 g& F
Gaussian distribution, 高斯分布/正态分布9 B! r: ]2 i3 `1 r4 k+ N0 m
Gauss-Newton increment, 高斯-牛顿增量
# ~' p s" X/ |0 F# z) w1 ~General census, 全面普查* m/ N$ A E( c$ ]$ Z3 z4 w
GENLOG (Generalized liner models), 广义线性模型 + x) @+ F! a1 Y( }1 k
Geometric mean, 几何平均数
?# e1 ?: E2 ?! m% V1 J UGini's mean difference, 基尼均差. e" N: E/ Y5 Q2 A1 ^0 p
GLM (General liner models), 一般线性模型
8 _8 n! x" {! Q9 KGoodness of fit, 拟和优度/配合度
" T8 D0 J& x) g; h$ c% CGradient of determinant, 行列式的梯度+ E, ]8 F$ x6 w: o, a2 t! E
Graeco-Latin square, 希腊拉丁方
; u' [* l+ w9 {6 U5 bGrand mean, 总均值: O+ B1 Y7 F8 V e6 Q G" N
Gross errors, 重大错误, E9 C) F" N M* A: E
Gross-error sensitivity, 大错敏感度$ J7 d2 F, |% Q& z; H0 M
Group averages, 分组平均) V% ^5 T5 b4 o: T5 }4 X
Grouped data, 分组资料
3 l3 s8 z) f' d7 v CGuessed mean, 假定平均数! t% _( H8 _8 t* E
Half-life, 半衰期
9 |. |5 _$ {, w3 _; C0 oHampel M-estimators, 汉佩尔M估计量
6 G3 z: f$ W$ y3 D) V# }& RHappenstance, 偶然事件' v8 w& k; l' f+ R& F# u* z
Harmonic mean, 调和均数2 N$ ~7 `: T4 n, B5 P# @7 q
Hazard function, 风险均数
# ^3 t# A9 w- |; q0 O4 ~Hazard rate, 风险率: K0 M5 h2 a' J$ u
Heading, 标目 " O' B0 h4 P* e/ }9 k2 ?
Heavy-tailed distribution, 重尾分布
3 V( Q6 U6 x5 a7 V% p2 CHessian array, 海森立体阵
4 @0 d; s. V7 n4 s/ E% zHeterogeneity, 不同质
* C+ i/ n" M) n$ H: |6 jHeterogeneity of variance, 方差不齐 4 a) j# h0 h3 S8 G
Hierarchical classification, 组内分组
+ b% V0 t3 \( SHierarchical clustering method, 系统聚类法
0 i& ~3 ^1 H# V7 \4 kHigh-leverage point, 高杠杆率点" o2 B# o: p9 e/ J: H% ]
HILOGLINEAR, 多维列联表的层次对数线性模型6 J: Z% ~& ~; p, y
Hinge, 折叶点
' h) ~1 v! \! v8 w6 zHistogram, 直方图
8 |! o6 _% G i; Z, D5 UHistorical cohort study, 历史性队列研究 ' l$ l5 q% F& z
Holes, 空洞. T9 R" M5 Q x& {
HOMALS, 多重响应分析
% K1 `* }" F) K0 Z, I7 r- ^; ^8 S) Q v+ Q' DHomogeneity of variance, 方差齐性8 z. P+ t( o& ~
Homogeneity test, 齐性检验 t- i: S' O ]0 Y+ _6 C
Huber M-estimators, 休伯M估计量
, z$ w8 V- _5 M7 RHyperbola, 双曲线
- z1 t: t1 S4 r% d$ Q, \9 k7 M$ MHypothesis testing, 假设检验9 l! p1 @5 W' o
Hypothetical universe, 假设总体
* w! q" c/ R: z2 i4 ^2 pImpossible event, 不可能事件
9 H8 F+ P0 N. g+ r% WIndependence, 独立性5 |- h" h, K2 _" O9 H
Independent variable, 自变量
4 u1 }8 U0 U R( {! f( RIndex, 指标/指数
! i. i) m) M6 V4 W& j: xIndirect standardization, 间接标准化法
4 q4 h5 l2 U( Z8 T+ OIndividual, 个体5 x. d% _, u& j$ L& R
Inference band, 推断带
9 B! `) }4 W7 w. J2 TInfinite population, 无限总体0 B0 T8 C# B J. q4 U. @
Infinitely great, 无穷大3 R! D" l/ ^* d6 f& x2 ^
Infinitely small, 无穷小, v9 a% L" P* C- b
Influence curve, 影响曲线
6 `. {- v# q: H1 w* E" AInformation capacity, 信息容量
, U: v$ x4 M' Q+ R# u! n6 X" XInitial condition, 初始条件( x% v7 F4 \0 N, E# U
Initial estimate, 初始估计值
- K$ D0 ^+ @$ I3 u1 L7 UInitial level, 最初水平
* E# \- u* R: n& L' gInteraction, 交互作用* m6 r3 f0 p2 r+ c/ o3 t
Interaction terms, 交互作用项
: X+ Y/ ~: w) ?5 P# ZIntercept, 截距6 f! L0 a1 u6 [" }3 c% I
Interpolation, 内插法) [) i& y. q# j7 \1 e% {( [
Interquartile range, 四分位距
$ V' @. v ~7 ^4 a1 Z( d: LInterval estimation, 区间估计
4 |* s* y( M7 {Intervals of equal probability, 等概率区间: o, m9 _4 A8 {* w+ f2 `
Intrinsic curvature, 固有曲率" K( R2 A6 \; h- E9 @! S) \
Invariance, 不变性
& _7 t8 a+ U) U, R0 J3 zInverse matrix, 逆矩阵2 }. u2 c% e; i+ E* _0 k
Inverse probability, 逆概率8 U& y+ y1 E6 M7 D* o) l
Inverse sine transformation, 反正弦变换
6 [+ o: J: H) P! xIteration, 迭代 ! e+ [: ?" L) ]' c1 H8 Z) p
Jacobian determinant, 雅可比行列式
9 [& S! w' ]2 b0 c+ O' cJoint distribution function, 分布函数6 n& m$ z7 h# ?1 X3 Z+ X- W7 n6 x8 ~
Joint probability, 联合概率' n# l4 `: X6 H8 n" v
Joint probability distribution, 联合概率分布 U1 h& h' K" E/ ~! e1 P
K means method, 逐步聚类法, h) N8 O& a( X! X" e5 T3 z2 \( \
Kaplan-Meier, 评估事件的时间长度 - X( ^9 E7 K8 p$ G9 ~- |, N
Kaplan-Merier chart, Kaplan-Merier图/ M- d! L9 f$ \1 ^- |" N0 O x! [
Kendall's rank correlation, Kendall等级相关( b0 e4 v5 ?! h, E: V4 u
Kinetic, 动力学8 T3 p8 I# Y+ U6 {
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
% b3 W1 N! F9 U& [ oKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
5 y$ D. L1 ?* |" S& N! p. a- GKurtosis, 峰度/ c2 G2 x# N2 y+ ^. y* M% s
Lack of fit, 失拟; U7 [/ Q. T! m) ^1 L3 ?
Ladder of powers, 幂阶梯7 {: c# t* G0 o9 Q/ R& u2 p
Lag, 滞后
: h# k2 t) X* o9 Z! J0 L q3 JLarge sample, 大样本- O9 J0 W" T* `; T& I
Large sample test, 大样本检验. m2 R( I! I2 K0 C6 E+ H
Latin square, 拉丁方
$ ^; Q W2 A5 k0 l5 n& U. n( E& bLatin square design, 拉丁方设计7 o8 P" \9 F4 g) c
Leakage, 泄漏+ ]$ q- c% |2 r0 P
Least favorable configuration, 最不利构形8 T F1 y! o }# Q* w
Least favorable distribution, 最不利分布
6 v7 ?1 q2 E4 I* R% \5 u7 y+ q- }Least significant difference, 最小显著差法
2 t( [8 R; L5 W% @& w% eLeast square method, 最小二乘法3 ?4 l& }: P) ^, c* q( @
Least-absolute-residuals estimates, 最小绝对残差估计
+ @ |# S3 R+ G1 o& PLeast-absolute-residuals fit, 最小绝对残差拟合3 M7 s! d7 p# ?4 v% e
Least-absolute-residuals line, 最小绝对残差线2 u) t0 Q+ I$ P \
Legend, 图例6 g* a' i, D1 d# |
L-estimator, L估计量
6 o& p' l" v; w% b* s1 kL-estimator of location, 位置L估计量 C. L4 u5 y6 O; P% G
L-estimator of scale, 尺度L估计量: c h: N s# S. d. |; A6 g
Level, 水平
7 B" F4 j7 D, \4 nLife expectance, 预期期望寿命
2 W+ R8 l: g( GLife table, 寿命表
- Z' `, ?4 [$ u. R( XLife table method, 生命表法
% N: C i5 K3 E) b4 w' NLight-tailed distribution, 轻尾分布
: l( h! q* P; K3 S+ q* ^# S0 Y: @Likelihood function, 似然函数
! L4 x% E/ I/ n0 ^; Y- U) kLikelihood ratio, 似然比! m" U( r! S- O. _1 _- S# `& ]
line graph, 线图1 Q4 X3 N. f' N1 A
Linear correlation, 直线相关" I0 P/ Y/ D O, G/ J8 x
Linear equation, 线性方程
! x \6 V2 @0 fLinear programming, 线性规划+ L7 n) I' h. N' H2 m
Linear regression, 直线回归
8 M) A7 k2 F, f2 K6 u9 ~# yLinear Regression, 线性回归! q% k, j0 h8 w9 p; o) ~0 P
Linear trend, 线性趋势
6 ` X6 s% f9 Y6 | d4 I( B- eLoading, 载荷 1 r, Y5 d5 e0 ^0 r9 v/ o
Location and scale equivariance, 位置尺度同变性
& ~. |; g: U$ h& QLocation equivariance, 位置同变性+ i3 j+ v. {. O @8 j
Location invariance, 位置不变性( [' `" z* C% z
Location scale family, 位置尺度族
+ ]# y* u- N2 x& M8 _$ uLog rank test, 时序检验
" v+ x# z, U8 ?6 JLogarithmic curve, 对数曲线# }" q7 V% v8 Y d1 x& D) t/ Y" u
Logarithmic normal distribution, 对数正态分布. z% z5 w2 D3 g( j
Logarithmic scale, 对数尺度
. S$ i7 r$ A( W. FLogarithmic transformation, 对数变换! C/ J1 l+ T, A4 G: c; k
Logic check, 逻辑检查
& X$ @: n+ n8 ^& yLogistic distribution, 逻辑斯特分布( U5 Z A y' U
Logit transformation, Logit转换4 i% v- Q2 v, i& J8 s% q6 D# q
LOGLINEAR, 多维列联表通用模型
" z$ u- z5 A0 u- DLognormal distribution, 对数正态分布
4 _8 }3 q' g# p, f- U8 xLost function, 损失函数0 A9 K" a- h; e; Z! a: B
Low correlation, 低度相关% ^' w0 o8 }# Y( _' Z
Lower limit, 下限
" G0 f% Z: i3 hLowest-attained variance, 最小可达方差 N$ j" o9 r% Z
LSD, 最小显著差法的简称, {0 K* a0 S/ X& O+ |
Lurking variable, 潜在变量# f1 q2 n& J9 P" t1 M8 }3 C
Main effect, 主效应
9 f' v1 i- O3 l- W* GMajor heading, 主辞标目
3 D( S. U8 p+ W) RMarginal density function, 边缘密度函数7 t# X# C z. J( K5 q; F7 B
Marginal probability, 边缘概率
; e# L* C2 t5 C/ ?% j& mMarginal probability distribution, 边缘概率分布
: O" q Y3 K- F; ^5 `$ _# b( yMatched data, 配对资料
0 K: M: C' E2 `! iMatched distribution, 匹配过分布
' U* M. i" F5 j# q- d, SMatching of distribution, 分布的匹配, w4 R# N- v3 y: k
Matching of transformation, 变换的匹配7 G, P8 [- _+ O. t# o# t- a
Mathematical expectation, 数学期望
1 G y* w# L- p" IMathematical model, 数学模型# t" A( v6 {: V7 a. W/ z( m- s
Maximum L-estimator, 极大极小L 估计量. @0 Q6 Y L" w h o
Maximum likelihood method, 最大似然法
( g) r1 I# U$ O4 x) B4 n* YMean, 均数* }& T8 ?8 d! N% d$ o
Mean squares between groups, 组间均方
/ u$ h, m: U6 Y. \/ }. hMean squares within group, 组内均方! [7 E! i7 g/ I! Y% o
Means (Compare means), 均值-均值比较9 @$ v p5 H* H- ]
Median, 中位数
7 [2 c" q" t9 j8 b3 FMedian effective dose, 半数效量. v7 U* U4 i4 x* y1 J6 c) p5 e
Median lethal dose, 半数致死量6 J+ S/ c! e' w# V% a$ x- G( P7 m ~
Median polish, 中位数平滑
" [; v4 w% p+ ?% V9 O3 ZMedian test, 中位数检验$ v; N' X, `/ N; F( v( n
Minimal sufficient statistic, 最小充分统计量% a2 i$ @; l3 m/ B; V+ S& {& M% s
Minimum distance estimation, 最小距离估计' ]' `" s, u. P0 ^- J# a7 e
Minimum effective dose, 最小有效量
7 M4 y4 ~7 X* E3 _ E9 bMinimum lethal dose, 最小致死量- x& m$ w4 b ^! e3 j$ ~* k
Minimum variance estimator, 最小方差估计量: S3 W; O# F0 X5 c4 C( `! j7 n
MINITAB, 统计软件包" S, P0 e7 s2 i& Q0 t2 A
Minor heading, 宾词标目
5 f+ O2 q" L! @Missing data, 缺失值
* x( s! G1 Y# [' R$ ~, [5 LModel specification, 模型的确定
/ s1 Z1 @- G ^Modeling Statistics , 模型统计3 o$ D) S6 h; p8 [1 Z
Models for outliers, 离群值模型6 c" _. Z4 P, |$ n( V _3 [
Modifying the model, 模型的修正& S' }8 d0 Z& u+ F, }, D& m/ Y5 p
Modulus of continuity, 连续性模; N# M+ S' o, a$ c
Morbidity, 发病率 ( I) W8 ?4 K: `9 U% E
Most favorable configuration, 最有利构形
! ]; K# Y8 A* R! ^& O2 `Multidimensional Scaling (ASCAL), 多维尺度/多维标度9 o8 K7 ]1 ?# q' x
Multinomial Logistic Regression , 多项逻辑斯蒂回归
! L( K8 K- r* J1 q% H; [% QMultiple comparison, 多重比较5 A* n( Q( ^ o+ j) f
Multiple correlation , 复相关
% O: i, N- q" @7 p1 |Multiple covariance, 多元协方差: z4 ~" i5 V# E1 Z* j% R
Multiple linear regression, 多元线性回归& V% x9 b' p! @* P6 m
Multiple response , 多重选项: b% i& s3 r$ B' u
Multiple solutions, 多解. a" b1 S/ T4 H. ~/ n
Multiplication theorem, 乘法定理, ]9 \2 {7 p- G
Multiresponse, 多元响应
) M, z$ _4 J5 E" f( h- PMulti-stage sampling, 多阶段抽样
: l! U D! e1 u: RMultivariate T distribution, 多元T分布5 ^" e1 r" h" D" a, X9 T% P
Mutual exclusive, 互不相容
8 H1 U( k# G) E) L9 Y b* D6 i' `3 xMutual independence, 互相独立
; B4 Q. j, _( M. \( QNatural boundary, 自然边界
; V- h. s* y6 X5 gNatural dead, 自然死亡
* r' N3 E6 `; U o# WNatural zero, 自然零
* T k4 o2 ]" Z3 uNegative correlation, 负相关
! i+ C* A4 T9 U2 ONegative linear correlation, 负线性相关" [: m: D& O- Y: E q# U
Negatively skewed, 负偏( h4 i) R! T; ]4 A- [
Newman-Keuls method, q检验4 T( S) j% v: _6 Y
NK method, q检验
9 B L1 _! ^2 c/ v1 TNo statistical significance, 无统计意义/ Z# S ]/ h L
Nominal variable, 名义变量& Q- c# l; R; \) p4 h& |" y
Nonconstancy of variability, 变异的非定常性
+ v* d2 `6 U; }3 s- qNonlinear regression, 非线性相关- M2 _, d+ B5 `) F* Y
Nonparametric statistics, 非参数统计1 U/ G- n E/ [8 ^2 E
Nonparametric test, 非参数检验
- Y! m) |) r. t5 BNonparametric tests, 非参数检验/ y, T' b: E' ^3 P. f4 Z3 i4 ?
Normal deviate, 正态离差 s$ Z" x. R4 u+ K4 j3 L
Normal distribution, 正态分布
, t- n$ V% l5 ~5 x9 uNormal equation, 正规方程组
& ^6 U# U, J y2 z7 v, rNormal ranges, 正常范围
: j3 B- x; O G- H3 P/ W I! iNormal value, 正常值4 h# T, S* k1 ]$ d
Nuisance parameter, 多余参数/讨厌参数3 \, k, B! g# B3 i8 A
Null hypothesis, 无效假设 1 v3 o7 a" T* H5 ]: o' Z
Numerical variable, 数值变量& m4 G2 @/ x# L" Q5 ^: T0 z: p$ u+ l
Objective function, 目标函数( _8 Z$ p) C+ g5 U* d
Observation unit, 观察单位, J, g# f! A5 t# t
Observed value, 观察值! L, @# |( H3 F) K) i
One sided test, 单侧检验
0 a( g' w" r% M& Z# k) gOne-way analysis of variance, 单因素方差分析
4 }2 h/ K. M* D. U/ TOneway ANOVA , 单因素方差分析% C' ?' o1 C+ ^
Open sequential trial, 开放型序贯设计( q" i! }/ K: _. }* K% p1 w: F
Optrim, 优切尾
( I. q3 Q5 C" l0 B# ^1 jOptrim efficiency, 优切尾效率5 R b( e: U8 S& V: f& E
Order statistics, 顺序统计量& m( @1 J9 k- |/ V
Ordered categories, 有序分类% f' H! a: v; Y% D! Q, R4 H, i
Ordinal logistic regression , 序数逻辑斯蒂回归' _( x6 b# @/ _% z" w9 a4 h2 X; S, i, Z
Ordinal variable, 有序变量& m5 n' Q( p$ N4 o
Orthogonal basis, 正交基( i$ d5 b$ {! l' |# ]8 x! O1 l# s
Orthogonal design, 正交试验设计
% t& {8 M7 N8 g, `* G8 H" vOrthogonality conditions, 正交条件
8 {2 N; q( L9 {ORTHOPLAN, 正交设计 4 M( p$ ` M) j! [1 k: q a6 c+ ]' Z
Outlier cutoffs, 离群值截断点
1 z5 U$ ?3 l( w! A. J3 k/ J; r6 B( tOutliers, 极端值
+ c9 {' T) G0 T- M+ TOVERALS , 多组变量的非线性正规相关
, [; }+ w$ _- w8 S4 T7 I5 a* D" LOvershoot, 迭代过度
. u# E5 b% G2 @$ Y/ C3 dPaired design, 配对设计
! e* m" Y9 p& g `: QPaired sample, 配对样本
) y; Q) m. u' j( wPairwise slopes, 成对斜率5 u& Z5 A5 f: [6 |
Parabola, 抛物线
. C+ Q' t" y& ]+ v* z; @Parallel tests, 平行试验
8 b* _# o. T. S0 ]9 v3 L0 n5 @Parameter, 参数
; l$ L5 i9 U( K& B0 jParametric statistics, 参数统计8 b6 h( ?: q+ |, z* q0 v$ v3 e) `
Parametric test, 参数检验; ^/ K5 U3 @' ~
Partial correlation, 偏相关/ l% C: y3 ?+ _; }
Partial regression, 偏回归
% L# b* I! @6 v7 ^1 EPartial sorting, 偏排序
% B( A# E9 J9 s$ fPartials residuals, 偏残差
" n7 b6 l9 I5 Y k; TPattern, 模式7 R) j- @( k7 S
Pearson curves, 皮尔逊曲线, ^- M; s" L" o. U- G0 q6 ?
Peeling, 退层( u1 s( i4 r9 X) w
Percent bar graph, 百分条形图* e }8 ?+ d6 J8 s# \* N
Percentage, 百分比/ l1 }3 f6 P8 B4 ~
Percentile, 百分位数& x! v0 ~( v3 Z5 R+ @4 @) l! z& ? U
Percentile curves, 百分位曲线6 D1 K: s! e' x
Periodicity, 周期性
2 {( v9 u& a( {9 g) \1 Z8 _8 l( _4 wPermutation, 排列) y- [& D- e. O/ G
P-estimator, P估计量) k$ _/ v0 s0 ^1 e# J) X4 G. Q# R
Pie graph, 饼图
6 P4 x" N1 I5 A, bPitman estimator, 皮特曼估计量
9 v) I! @5 f+ ?. bPivot, 枢轴量
8 B# D# I# B3 b7 z) F3 _Planar, 平坦
5 u% R) \* v$ M+ G; yPlanar assumption, 平面的假设
; u, s4 y5 ]6 \+ VPLANCARDS, 生成试验的计划卡: N7 K1 Z) _9 H0 W
Point estimation, 点估计
2 Q% d5 F! n3 v& J1 Y1 aPoisson distribution, 泊松分布
7 r- d9 f. ?; r0 v# p+ @Polishing, 平滑
5 T& A9 }" k; X, C* KPolled standard deviation, 合并标准差
+ V' |+ `, d @. ~! T+ r$ N9 }Polled variance, 合并方差
! }' y3 s: a# I2 ?; I- KPolygon, 多边图
: ]/ A/ b' C4 S k% M& ?% m% UPolynomial, 多项式
6 R- Q7 \1 o0 p2 s0 nPolynomial curve, 多项式曲线* k# D+ x e3 `7 G5 [6 F9 t
Population, 总体
$ S0 F4 G( Z$ M: ZPopulation attributable risk, 人群归因危险度' D% L5 c8 W* k$ M* A0 O
Positive correlation, 正相关
& p& X' Q/ h: D" T4 n* z. l Z& uPositively skewed, 正偏
$ Q+ n/ T/ r. u7 x7 GPosterior distribution, 后验分布 ^+ j" K; Y6 A. i' e# G4 ^5 S
Power of a test, 检验效能, b7 u% U6 T- u* N3 ^
Precision, 精密度9 H; S+ n0 N, T2 Q5 P
Predicted value, 预测值
% Y2 s, c0 v; T5 J( Y& T9 O. cPreliminary analysis, 预备性分析' w* F- g, s/ S( I1 Q# N
Principal component analysis, 主成分分析. {6 S8 x3 F( u2 A: x7 L6 |5 O
Prior distribution, 先验分布" J; b( ]6 o* {# Q0 c* `
Prior probability, 先验概率) }$ q. Q$ J3 A8 F% {2 a
Probabilistic model, 概率模型
4 m' ^- h, g5 R! A8 @probability, 概率* x b6 O. [# c; L
Probability density, 概率密度
, G) n% ^" _- e! F& PProduct moment, 乘积矩/协方差) \0 c/ n2 l3 ]3 K/ z
Profile trace, 截面迹图
: a5 v9 m4 w- {) g/ u6 J1 oProportion, 比/构成比! I, X$ M5 ]6 y3 ^6 k5 a7 s" a
Proportion allocation in stratified random sampling, 按比例分层随机抽样8 {( ]" f+ ~5 Z6 |' n
Proportionate, 成比例3 v9 Y% c' g+ f, Q" i+ s* x
Proportionate sub-class numbers, 成比例次级组含量
! h& `% m, |9 u' Y5 V9 yProspective study, 前瞻性调查9 i) Q9 \& j+ H" Z/ q$ `. M
Proximities, 亲近性
0 e: j1 D& P( F- E$ `1 D3 U8 XPseudo F test, 近似F检验4 _% P! g6 e2 Q' j. i" J
Pseudo model, 近似模型
. i! ?( Q# d G2 dPseudosigma, 伪标准差: |8 V* U6 Z: e& V
Purposive sampling, 有目的抽样7 \' Z: B- Z4 r0 k( G8 H% L- E2 ?. D0 a: j
QR decomposition, QR分解
Z% K% N5 L8 _5 sQuadratic approximation, 二次近似( U4 v" ^4 z" m" q
Qualitative classification, 属性分类8 c9 b" C2 B1 ?; p8 f8 B# H
Qualitative method, 定性方法
) z5 g: X" {& O% sQuantile-quantile plot, 分位数-分位数图/Q-Q图
6 g2 U/ o% q& dQuantitative analysis, 定量分析8 v7 B/ {& @. w
Quartile, 四分位数% I4 v/ A2 C% f. _! B6 r
Quick Cluster, 快速聚类6 u" ~7 o2 ^0 v, c' Y! W, n( g6 |
Radix sort, 基数排序9 Z- T; `6 v, }6 b6 i% V
Random allocation, 随机化分组
. J+ Z. l4 A* J: {% iRandom blocks design, 随机区组设计
) }) k0 d5 M4 K) ZRandom event, 随机事件
1 O/ t% a4 f" \) w! D/ g% I0 wRandomization, 随机化$ L0 I, {# p0 |
Range, 极差/全距
' Q1 l# p& @3 T3 KRank correlation, 等级相关) [9 g& [9 z* s. K: P
Rank sum test, 秩和检验. F3 \8 ?: j* W; k. B1 X
Rank test, 秩检验
( e" B7 c# J" r5 |2 LRanked data, 等级资料
, B/ m% \$ e7 p3 b" q* ^9 ]Rate, 比率
6 v4 N, P+ x1 Q( v* @- O. PRatio, 比例
; G- }; S- w3 A7 F1 ZRaw data, 原始资料3 O' y1 \2 C. @$ a
Raw residual, 原始残差
( ?' M9 c/ F: }8 `0 I: m0 BRayleigh's test, 雷氏检验
- f7 Z* f g. C3 B! z% q) `, r' hRayleigh's Z, 雷氏Z值
. x; S; e" U* Z" M! Y$ _0 C7 z$ MReciprocal, 倒数
' H0 n7 \/ w7 {/ r. rReciprocal transformation, 倒数变换
% F8 P) j* c5 m# e. URecording, 记录0 R# |6 R$ V5 G
Redescending estimators, 回降估计量
- W/ y6 p* |: a4 JReducing dimensions, 降维
- s% Y7 E% K; j8 z) f9 QRe-expression, 重新表达( G0 Y5 |# `' D) ^6 }; S* M1 f
Reference set, 标准组
* r) R; D9 z0 @# b4 b- hRegion of acceptance, 接受域% m9 ?/ M% V) u. I
Regression coefficient, 回归系数* x3 k# b3 Q% X( ?, [" I
Regression sum of square, 回归平方和
, n: @4 I. n6 VRejection point, 拒绝点
* I$ H9 F% K7 S) j0 @Relative dispersion, 相对离散度
6 J. L$ R5 H' @' WRelative number, 相对数
2 c p$ `% |6 KReliability, 可靠性5 S1 {1 b$ H6 l/ R5 {
Reparametrization, 重新设置参数
( P5 y/ a d9 }1 t1 ^# C8 M5 oReplication, 重复
+ ~+ N1 E. v, y( k4 |( W% SReport Summaries, 报告摘要
: c6 g$ M" W- U7 B" QResidual sum of square, 剩余平方和5 p4 I; D$ I( u* p# [. V4 A: b* F
Resistance, 耐抗性
( ~- j3 ~$ }- O& }Resistant line, 耐抗线
% i7 \: X" p1 w0 D J( ^Resistant technique, 耐抗技术
. J' t/ b! J8 F8 Q, A+ cR-estimator of location, 位置R估计量9 J- e* [9 o, C7 q# t$ y
R-estimator of scale, 尺度R估计量/ ~! H4 g' v0 W+ E+ R
Retrospective study, 回顾性调查
) }& U U! V: f- JRidge trace, 岭迹
; a% x) d+ \) VRidit analysis, Ridit分析% T+ l% e* C. e# X3 g L
Rotation, 旋转# E6 u8 k( L. I: l7 [
Rounding, 舍入* r" O$ }& z8 A* x+ _1 ^
Row, 行
! Y& ?0 a4 I3 P* tRow effects, 行效应; Y. H! C& G7 B% ]
Row factor, 行因素$ ~* a# L, f4 Q5 \- |5 F
RXC table, RXC表
2 F |* p5 v2 MSample, 样本; c$ u' A- w/ g5 X/ j- h
Sample regression coefficient, 样本回归系数
# B) T# J3 }/ ?; K& R* xSample size, 样本量
8 |5 a# \8 Z6 _0 k. ^9 i6 mSample standard deviation, 样本标准差 Z8 _. p& [9 l/ d
Sampling error, 抽样误差* y4 [& Z# I! j8 y
SAS(Statistical analysis system ), SAS统计软件包3 ~" ^ X. O3 @9 @7 q. i
Scale, 尺度/量表
4 t1 _( a. C: R" s$ ~& [Scatter diagram, 散点图
& R. f+ Z/ U/ v* NSchematic plot, 示意图/简图6 B+ g) ~/ a9 U) s
Score test, 计分检验/ N9 y, l b' J2 X# J" x$ n5 e9 N( T- u
Screening, 筛检
( W0 b" h |$ b; ZSEASON, 季节分析
' ?7 `. w! i/ R8 V4 Q O* w+ }Second derivative, 二阶导数% h' }" j' k3 X: y) z
Second principal component, 第二主成分
3 H: B+ ~0 S' m D! d" SSEM (Structural equation modeling), 结构化方程模型
/ ]* c9 C$ d+ Z- y7 [Semi-logarithmic graph, 半对数图1 Q: v/ \# _7 {2 B9 u4 M
Semi-logarithmic paper, 半对数格纸
, g9 e& E, U$ b& ?, A! ^* CSensitivity curve, 敏感度曲线
) Q8 T- n: N! r! M# F& VSequential analysis, 贯序分析& C/ G! _+ I, u3 ]
Sequential data set, 顺序数据集' p; q4 O. \$ F" K% B) _
Sequential design, 贯序设计
3 J2 L. H( H% j! O$ LSequential method, 贯序法
/ K! {/ P' {0 D, p5 K6 S2 ?Sequential test, 贯序检验法
% J7 i( j6 y3 `& O3 D' VSerial tests, 系列试验
* B! ?+ F$ z: SShort-cut method, 简捷法
) n/ ^) \7 G* h+ L& }Sigmoid curve, S形曲线$ s6 m% h* _9 e# M( s) f$ v9 B
Sign function, 正负号函数
& G# W) [" ^, d& [9 K0 I/ \* N( ^Sign test, 符号检验
& k4 V4 q: h0 f8 q: w. ]' aSigned rank, 符号秩4 S1 G* Z9 S; j7 F
Significance test, 显著性检验6 C9 b# u: k9 W% c2 e+ _0 [
Significant figure, 有效数字
& \! T/ Y8 {, f1 ^Simple cluster sampling, 简单整群抽样) @- I5 r" n' D% D# @* A' O
Simple correlation, 简单相关
* E8 p6 J) }1 ?" A' q9 J& Y! cSimple random sampling, 简单随机抽样
; v( ^( Z% x- e* H" tSimple regression, 简单回归* d" z$ Q0 K4 L$ A3 R9 y! c0 _. a7 l5 g
simple table, 简单表
9 v p4 }1 t5 g5 _( S' OSine estimator, 正弦估计量8 w! l% E3 J. j o6 m8 M6 Y9 f
Single-valued estimate, 单值估计' L- }+ C% d( x, d+ S
Singular matrix, 奇异矩阵
# P2 v2 I: ]% X+ v1 n J4 lSkewed distribution, 偏斜分布
, D6 w' n2 H$ s u2 e( F/ h* SSkewness, 偏度
! o/ ?% C! D9 T7 J2 d) KSlash distribution, 斜线分布
8 S' G* C3 ]$ MSlope, 斜率
- I) Y. y& U) Q* y) v3 u; ~Smirnov test, 斯米尔诺夫检验; c# |6 }4 x/ M s9 e- K
Source of variation, 变异来源) P: A) E3 j6 g. [
Spearman rank correlation, 斯皮尔曼等级相关
6 O9 ~/ D3 S% H5 ^) X: A2 YSpecific factor, 特殊因子
( V& f' O; W. ESpecific factor variance, 特殊因子方差* ]1 s7 |- U2 q7 M1 C6 {
Spectra , 频谱" c; J. f1 ~! ^: ^
Spherical distribution, 球型正态分布
% l/ P5 S6 Y3 M7 ~Spread, 展布7 u& G% Q3 e l( p
SPSS(Statistical package for the social science), SPSS统计软件包
% M: p' Q5 E& X% Q! i8 j# l3 FSpurious correlation, 假性相关( {: q j9 J$ L! z6 A8 d
Square root transformation, 平方根变换
( P5 l; l+ o3 f4 ?Stabilizing variance, 稳定方差0 R& |: R; |; E
Standard deviation, 标准差
; @% _+ t8 R7 l# t4 q9 \& FStandard error, 标准误; g, y# w G2 w+ A7 l3 Z
Standard error of difference, 差别的标准误8 Y* t$ y* j6 H7 ~4 C, c' q
Standard error of estimate, 标准估计误差
' Z% a) C2 D( M1 QStandard error of rate, 率的标准误9 Q. {! H. Q- H$ c& t9 j$ G7 p
Standard normal distribution, 标准正态分布
+ o0 P6 k8 z4 L4 O( JStandardization, 标准化" g6 f H% r% O9 s& z0 D1 Q! a5 H
Starting value, 起始值' ?. @/ p: r0 c" L" V/ T9 ]
Statistic, 统计量, ~1 @# A, ~1 B1 c+ n$ I
Statistical control, 统计控制. m2 E, |& D* f; n' n6 ]" U& I
Statistical graph, 统计图
/ A _4 q: m- l4 P( h1 I5 G% cStatistical inference, 统计推断/ J2 U. z1 s% f# t
Statistical table, 统计表9 K3 r, U2 y% r2 y8 ]" J
Steepest descent, 最速下降法
' a' S7 ]9 _" e6 _+ eStem and leaf display, 茎叶图) Q5 F" O* m0 g1 _6 m2 B
Step factor, 步长因子1 o$ ]& x: h4 A/ o& f- C% v
Stepwise regression, 逐步回归) h/ G7 L9 A' C, R% m
Storage, 存
Q5 D0 Y9 F4 G8 vStrata, 层（复数）
3 J ]. Z d/ ^' VStratified sampling, 分层抽样3 Q* `+ h, @. L# F$ ]! ]4 S
Stratified sampling, 分层抽样) {+ H, S- ^' y; r) K
Strength, 强度. ~0 a: x, _6 V" q+ b% ^( T8 k
Stringency, 严密性
s& o; G6 Y s* ~9 k: F" lStructural relationship, 结构关系
. F: E Q- U) h# R( T! G/ E. NStudentized residual, 学生化残差/t化残差* j5 g/ G- V. g) S8 t L
Sub-class numbers, 次级组含量1 L$ Z2 @1 z; b2 D
Subdividing, 分割. j4 a3 M; y9 B. G I2 C
Sufficient statistic, 充分统计量
. p/ [* u x `; ?8 I5 {3 SSum of products, 积和
; g5 e" b$ E4 @; u! n% y+ ?Sum of squares, 离差平方和$ f, ], w Y. Q- H9 M3 K+ p( @4 F/ w
Sum of squares about regression, 回归平方和
/ G* c: |' K6 I# HSum of squares between groups, 组间平方和9 \0 i2 G$ k- C* @# M8 k. l9 j
Sum of squares of partial regression, 偏回归平方和5 @4 P0 u* H: o1 Y7 u& R6 G4 f5 W
Sure event, 必然事件1 Z, D0 \& p" I |3 o) I( ~, K( T
Survey, 调查
: p( a# x+ f* h7 I5 m/ U ^Survival, 生存分析/ t# ]' y2 P% ?
Survival rate, 生存率9 L+ H9 O6 t" h% n
Suspended root gram, 悬吊根图- F/ w+ y! G" S& ^
Symmetry, 对称1 V9 q$ m8 C+ ]% Q( o
Systematic error, 系统误差
- l) Y. K9 f+ w' nSystematic sampling, 系统抽样) m/ R& `( q. j% c
Tags, 标签: \* L! Q9 L0 j" X
Tail area, 尾部面积/ S2 h. q! [- r: w6 j6 x2 A4 \
Tail length, 尾长
' j" G; S7 l1 m! u$ BTail weight, 尾重
" q! Z k/ u7 @Tangent line, 切线6 r. h3 |5 Z/ ^$ v3 {
Target distribution, 目标分布( p$ [" L% ?3 F7 ] N
Taylor series, 泰勒级数
% M" k W8 Q' ?" A2 c8 JTendency of dispersion, 离散趋势6 `! H) b# r) N3 E3 t3 f
Testing of hypotheses, 假设检验( R7 t6 D" _. d1 H5 v
Theoretical frequency, 理论频数$ L2 e$ {4 a3 `; `
Time series, 时间序列% k9 G1 G, K5 c- U
Tolerance interval, 容忍区间
' S. K: d, D9 X6 R% R3 t* H' bTolerance lower limit, 容忍下限
~& ?+ v5 S+ ATolerance upper limit, 容忍上限! J' q7 T2 c r6 X2 l9 g
Torsion, 扰率: R9 Z3 D: l* m; A5 w4 }
Total sum of square, 总平方和
6 w( q) S. N, O0 z# t& E* B+ H2 }Total variation, 总变异, t9 O3 j% N! X# S
Transformation, 转换
. v+ b$ P! Z8 N# I9 kTreatment, 处理
8 R* @, g) \/ OTrend, 趋势! G" I. Z. J- l( E2 L
Trend of percentage, 百分比趋势
; H- E, E: u* wTrial, 试验# d0 X6 `, D. s+ W
Trial and error method, 试错法5 @; ^ J& }2 Z2 \
Tuning constant, 细调常数/ q% n; O! s/ }
Two sided test, 双向检验2 o+ [% C/ N- `+ I" M, x. v
Two-stage least squares, 二阶最小平方
6 U# P' m4 z' m0 ^/ P* @! f4 Y" k6 PTwo-stage sampling, 二阶段抽样2 m0 O3 g) e |2 {0 H! G
Two-tailed test, 双侧检验) A3 i% S. I- H f" ^4 c
Two-way analysis of variance, 双因素方差分析
# R" ~+ U; z2 ?, Z" c2 \0 sTwo-way table, 双向表
" |0 W" G5 c4 l+ gType I error, 一类错误/α错误; c9 }6 o6 l) S7 j# _
Type II error, 二类错误/β错误* F& k, X: K8 j' C
UMVU, 方差一致最小无偏估计简称
/ X: Y1 P3 B2 j9 q* }' ?; [Unbiased estimate, 无偏估计
! r# U E0 {) Y* eUnconstrained nonlinear regression , 无约束非线性回归# Y8 x: W' R+ p8 u& y
Unequal subclass number, 不等次级组含量
: d, |* G: V4 {Ungrouped data, 不分组资料% u0 Q% V3 Z, u q
Uniform coordinate, 均匀坐标 Q/ q" Q2 M+ E& d2 S/ |( S
Uniform distribution, 均匀分布
" W. Q) L# D7 r# K3 w8 A# bUniformly minimum variance unbiased estimate, 方差一致最小无偏估计+ o& Z% }& _( @( ^" n% y
Unit, 单元
* }% {( @ L3 |" U& {Unordered categories, 无序分类4 l* w* {( K4 U0 R% x
Upper limit, 上限
2 B. O' B& V1 I4 S5 Y# b) a/ jUpward rank, 升秩6 o9 S* E: e% b; E( j8 l
Vague concept, 模糊概念
2 X/ x: t! \# x5 a8 mValidity, 有效性
. {% ?( V' r6 z( bVARCOMP (Variance component estimation), 方差元素估计 J% s; d4 i) b [" R' X
Variability, 变异性% Y" R$ _# ^. E; `' }2 b) O& X
Variable, 变量- ]3 t7 A7 C) N [1 c
Variance, 方差
; I R- [0 h" _- T# o) x i$ ~Variation, 变异2 [' `! \% v: V9 i& X* Q4 K p
Varimax orthogonal rotation, 方差最大正交旋转
6 x4 U1 s# {* D5 h# U. T" xVolume of distribution, 容积: Q# [. d: A2 X* _( `
W test, W检验
1 l5 M5 Z: p5 ^5 _0 KWeibull distribution, 威布尔分布) y3 ?6 P$ G u3 r
Weight, 权数" ?3 L" p e" O* `. }4 S( P
Weighted Chi-square test, 加权卡方检验/Cochran检验
7 i, @$ Q9 ?& i# ?0 HWeighted linear regression method, 加权直线回归5 x7 o1 K0 Q- N* e) H
Weighted mean, 加权平均数
8 p+ z; ]2 L5 \, v, M2 m3 bWeighted mean square, 加权平均方差
6 C6 H1 j; O8 IWeighted sum of square, 加权平方和5 z9 y2 r" ]9 B" E9 d3 }
Weighting coefficient, 权重系数
" n# d) Y8 J$ `% w$ TWeighting method, 加权法
* @4 t: Q4 b+ H( jW-estimation, W估计量8 u; V$ p4 f5 j4 Y, D
W-estimation of location, 位置W估计量
, \$ ?7 H" Y$ C( Z* E+ jWidth, 宽度
9 Z) s3 {& ?) w, [$ }* WWilcoxon paired test, 威斯康星配对法/配对符号秩和检验4 n3 w( a+ i {% [9 w$ u* M" L
Wild point, 野点/狂点5 S1 A2 v& N1 x3 v7 D9 t8 |+ w
Wild value, 野值/狂值
" {2 W2 X+ a& `% z$ ]9 r7 GWinsorized mean, 缩尾均值, {7 u/ Q) |6 N9 Z
Withdraw, 失访 : Q; M5 z- _+ |. Z, ~
Youden's index, 尤登指数
# @- J: r" ?0 X2 y8 DZ test, Z检验4 u$ c9 y' _4 L9 J0 L8 o) e
Zero correlation, 零相关3 N9 U5 e& [4 _! n$ f2 O3 g0 ~' P8 p
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
