|
|
Absolute deviation, 绝对离差& v, j' @1 Q. ]* m
Absolute number, 绝对数
) e% G/ e" o; F/ L- rAbsolute residuals, 绝对残差
9 M& F) N3 R' W% }Acceleration array, 加速度立体阵0 T1 o* V% k% v2 ~( z
Acceleration in an arbitrary direction, 任意方向上的加速度
. l' V) E: b7 \Acceleration normal, 法向加速度5 p" O% x( ?2 \5 d- J% U! K
Acceleration space dimension, 加速度空间的维数
) x1 S3 x$ \2 W. L! B# YAcceleration tangential, 切向加速度
7 n' u# L/ c) z% h; }; O) ]7 HAcceleration vector, 加速度向量3 P' M- R' u7 O& f1 f$ m8 w
Acceptable hypothesis, 可接受假设
+ n0 K* Z! e; ^; ]9 ^7 I6 c: Y! {Accumulation, 累积
- z. B" h/ ], J b* c2 GAccuracy, 准确度
% f; [6 y; [7 S3 u( WActual frequency, 实际频数
4 F; |. y. ^; r) kAdaptive estimator, 自适应估计量
/ T' H# d/ }" ]4 b) ]' JAddition, 相加) l5 D! {( E, s$ h* J" ^; q
Addition theorem, 加法定理, M s2 Y) H* D. d% | D
Additivity, 可加性
' M6 g! n/ [# U+ E+ fAdjusted rate, 调整率2 w1 Q4 L$ S1 F* x
Adjusted value, 校正值
& k& D/ Q5 Q( J0 ~& ^5 dAdmissible error, 容许误差
8 {+ [# a% z/ j" lAggregation, 聚集性
7 l& c6 Y) M$ B: z" h0 S& {Alternative hypothesis, 备择假设
4 R u) [' {3 o' O9 D$ BAmong groups, 组间# E( q- b" O% h/ u4 K3 j# o3 M& ^0 f
Amounts, 总量" k! w% n* a) r3 W- D! t# s* |% @
Analysis of correlation, 相关分析9 f" E- s# n! i! w( j4 D
Analysis of covariance, 协方差分析
; j$ S4 t4 E/ _# G7 c) uAnalysis of regression, 回归分析
- x2 r+ l9 s7 a u% F; dAnalysis of time series, 时间序列分析( W1 f |; {5 _: {3 N5 v
Analysis of variance, 方差分析
; \0 L7 h4 j K! f' D2 V' lAngular transformation, 角转换3 R! M3 L6 [; K$ Q( v) S! b
ANOVA (analysis of variance), 方差分析# g/ B+ t8 R8 Z8 y( S- v2 y
ANOVA Models, 方差分析模型
7 o9 P8 A9 F$ `- PArcing, 弧/弧旋, @% b8 d5 \" ^8 Q. Z2 L
Arcsine transformation, 反正弦变换
- d% N+ q3 U, P4 e( G; W, QArea under the curve, 曲线面积, C" a# r- `& d9 S* ]
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 % E5 z0 Y, t+ c" I: V+ u
ARIMA, 季节和非季节性单变量模型的极大似然估计 / m+ S) q: ?0 i& I6 v
Arithmetic grid paper, 算术格纸
5 y2 L7 N6 f/ Q. kArithmetic mean, 算术平均数
3 B# @! i6 S& _; B6 wArrhenius relation, 艾恩尼斯关系& T5 n3 w3 ?; \% ~! @! ]' f
Assessing fit, 拟合的评估/ E. L" ~5 c3 d
Associative laws, 结合律
( G6 m! ]( P5 v7 K, m) D6 @5 jAsymmetric distribution, 非对称分布5 G% i' I( O/ i$ [ I
Asymptotic bias, 渐近偏倚3 j0 i* R) I" E& \5 M
Asymptotic efficiency, 渐近效率
% o5 }# x) {! k0 e0 h3 {5 IAsymptotic variance, 渐近方差' D: r5 q- p7 n6 Y# x. u1 [+ Z% j
Attributable risk, 归因危险度 [4 x: }0 c1 ], t% J
Attribute data, 属性资料
3 S+ V% ^* b7 x1 i+ U, K0 k; y( K' EAttribution, 属性
9 F, x! Y$ [6 pAutocorrelation, 自相关
2 i; v2 D1 E' x8 A, j- e1 Z" YAutocorrelation of residuals, 残差的自相关
+ j$ f* e& ?, S6 ]Average, 平均数 [$ O% e+ v6 Z9 `& Z5 ~% A1 u
Average confidence interval length, 平均置信区间长度
' T2 X2 A0 q/ ^8 D8 JAverage growth rate, 平均增长率2 K4 }, p5 _) m/ @
Bar chart, 条形图
# h( R4 m" ^/ aBar graph, 条形图
) j+ U+ q. R6 b' rBase period, 基期
) D* Y. Z) L5 S# r0 XBayes' theorem , Bayes定理
; M, ^. i$ `+ m [Bell-shaped curve, 钟形曲线1 @, \ ^- K/ x- z! y
Bernoulli distribution, 伯努力分布& R6 x1 E6 f' U: x; [/ m
Best-trim estimator, 最好切尾估计量
8 r1 p5 W7 d$ F9 Z: OBias, 偏性
! X: C- e3 l$ s* [9 v9 tBinary logistic regression, 二元逻辑斯蒂回归
! @! R' l6 t; p6 J) @0 }Binomial distribution, 二项分布* y; L- ?5 E' c( M% g" `% a& r
Bisquare, 双平方% l8 Q- P- n- `2 ]
Bivariate Correlate, 二变量相关, G* d7 `, f/ q9 c; j, }% [
Bivariate normal distribution, 双变量正态分布
+ L9 z I |, c4 q3 J: y( Z+ WBivariate normal population, 双变量正态总体" {- T# c. _4 K; B' ]5 p% z7 d8 }
Biweight interval, 双权区间
. W# h: o& q$ y& iBiweight M-estimator, 双权M估计量: K0 A; a- [, Y7 S) q, ^
Block, 区组/配伍组: \3 _3 T* E N1 t5 S5 N
BMDP(Biomedical computer programs), BMDP统计软件包
+ l/ k4 a8 B9 OBoxplots, 箱线图/箱尾图1 t1 f2 n$ j- P# E( w2 z. U
Breakdown bound, 崩溃界/崩溃点
0 I2 r$ F! _% t& JCanonical correlation, 典型相关
& V* g" y% C; v2 r9 h, _% {Caption, 纵标目" L# A4 r4 d& m0 s# q p
Case-control study, 病例对照研究: s3 Q9 ]; y& h4 |- L! p A
Categorical variable, 分类变量
: Y1 Q( y- i( oCatenary, 悬链线
+ M" J) ]1 U) h/ _7 J/ cCauchy distribution, 柯西分布0 Y$ a+ M& p- U8 Z5 Y
Cause-and-effect relationship, 因果关系
) j0 b6 t7 Z' ^! V" uCell, 单元
; E; F `" W ^. O6 p- eCensoring, 终检8 }! L% l! r9 a
Center of symmetry, 对称中心
' N; b7 w7 H% c: K3 u' vCentering and scaling, 中心化和定标( B. P2 P7 O5 S; I, L
Central tendency, 集中趋势
/ n0 C. c& y) @' n* _Central value, 中心值
+ e# J( m5 }" ~CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
, Q' S0 y* }3 n/ o$ lChance, 机遇. K/ O1 C2 g* {) e' N0 X4 Q
Chance error, 随机误差
! k$ {( `+ C' D6 [Chance variable, 随机变量8 a5 Y8 K( W; u' s& U Q1 W& D2 L
Characteristic equation, 特征方程# m; C; w, Q R: T5 }) F. A5 B
Characteristic root, 特征根& o" z |4 ^6 @) m
Characteristic vector, 特征向量
" A$ V. u7 q5 a% d5 L1 b. \! g' gChebshev criterion of fit, 拟合的切比雪夫准则
: }, g1 h' L+ A1 Z+ eChernoff faces, 切尔诺夫脸谱图
% c( _4 q6 T: j( Z5 c; B( `: sChi-square test, 卡方检验/χ2检验8 j ^2 N% i; D. ?+ }2 k
Choleskey decomposition, 乔洛斯基分解
* j2 |9 i# Q7 w: e; }Circle chart, 圆图 & P+ w' c6 L/ j7 J4 ?
Class interval, 组距+ ^1 y; t% E) n
Class mid-value, 组中值' }. |, }0 W. D) p q
Class upper limit, 组上限! m( a3 Q4 g" c, d" ~
Classified variable, 分类变量5 q. o( `1 o+ H0 D
Cluster analysis, 聚类分析8 j* I& B3 [5 y+ b
Cluster sampling, 整群抽样
- G6 O I& a4 z0 G1 UCode, 代码
4 b. H0 [: Y1 E0 G% c9 z( GCoded data, 编码数据+ z# V) m" P6 D2 M( Y
Coding, 编码
* K, c/ ?4 U/ e7 M& BCoefficient of contingency, 列联系数: |4 Q3 O9 i3 D. v* V( L7 {
Coefficient of determination, 决定系数
6 N) f1 R% T f C( l$ Y% e q" vCoefficient of multiple correlation, 多重相关系数
8 Z3 N+ U% R6 B! RCoefficient of partial correlation, 偏相关系数/ T) P% \: w0 _9 J E7 Z4 b
Coefficient of production-moment correlation, 积差相关系数* L5 T7 |/ c+ L8 x& Y) @
Coefficient of rank correlation, 等级相关系数3 r) c+ p5 R* m5 v+ U. P
Coefficient of regression, 回归系数
( i' o" V' C$ A" Z% bCoefficient of skewness, 偏度系数6 D: H' A& r! ~- E" P7 J
Coefficient of variation, 变异系数
3 |# R- D( f, P" R. ]& J- M' ^Cohort study, 队列研究$ |. J# Q& c/ h8 [ e: `, a6 q
Column, 列) M6 o' i+ u( Q9 x0 s g4 D4 s& J
Column effect, 列效应
5 C9 a7 F& q; i; a& Q$ L. @Column factor, 列因素 w; A& |. d' ~" W0 `- K
Combination pool, 合并
# {2 G# _0 F0 C- \* G+ YCombinative table, 组合表6 _* T r2 y* J( R% r
Common factor, 共性因子
9 m& C( L/ q4 k+ q5 r( mCommon regression coefficient, 公共回归系数
3 I/ S2 J7 m+ S8 g" y% zCommon value, 共同值
" T$ n" t. O6 bCommon variance, 公共方差9 \8 }: `( A: g4 k5 `% L9 o5 s" G" R4 R
Common variation, 公共变异
, }2 f! P' w# r: c6 SCommunality variance, 共性方差
( p: g3 H, S% [5 j! V) v9 TComparability, 可比性
0 M: o7 R, e7 n GComparison of bathes, 批比较
2 p5 c, V! F% hComparison value, 比较值6 l- G) Z8 C) Q9 I+ R
Compartment model, 分部模型
! L8 c+ C3 {" N8 KCompassion, 伸缩
3 M, k/ t1 C8 Y& |2 C( O; U) K" MComplement of an event, 补事件3 k2 p y( o' l5 X, \6 W2 h: u
Complete association, 完全正相关8 R8 d: m$ u7 d$ N2 e
Complete dissociation, 完全不相关
( b$ M A2 @ L3 ]% g% K5 `Complete statistics, 完备统计量
! z8 H" P5 k/ @- q$ p. ZCompletely randomized design, 完全随机化设计3 V% H! b# s( P8 Y( l
Composite event, 联合事件/ o7 ~# b' k" k1 q; Z; b) W: C, u8 T
Composite events, 复合事件
3 r; | M1 ~/ IConcavity, 凹性2 U- N4 ?* r \0 n, p- R2 P H
Conditional expectation, 条件期望, Z ]+ j+ S1 O* Y2 N' q$ R1 v
Conditional likelihood, 条件似然
( p* {- S/ [+ W" O# d; RConditional probability, 条件概率" i( P' M: C; J' L$ {' E
Conditionally linear, 依条件线性
! D, P* Y1 F5 r% S% p XConfidence interval, 置信区间
1 } \( j' v3 u& E! N5 h9 p0 v- m; tConfidence limit, 置信限/ p( D ?( q6 K9 A3 D, U- ?
Confidence lower limit, 置信下限6 [4 |& J" _7 w+ _; S
Confidence upper limit, 置信上限
' z( v6 C. E" g' I3 w; S$ k* u4 nConfirmatory Factor Analysis , 验证性因子分析
- }- z, O1 @! L! e% B/ ?( b- yConfirmatory research, 证实性实验研究& j) F9 f; D, D4 r' R' c" O% ]
Confounding factor, 混杂因素* {) B5 M* f4 M z( q' u
Conjoint, 联合分析9 B5 Q8 W$ }+ i, P6 e' [/ ?
Consistency, 相合性
5 f" e$ I/ Y1 w2 s* v/ sConsistency check, 一致性检验# s" `5 {8 _* e$ A9 _
Consistent asymptotically normal estimate, 相合渐近正态估计9 x+ _& }6 g/ y8 }: o7 u
Consistent estimate, 相合估计
; S. v! O3 J! J% g8 ?Constrained nonlinear regression, 受约束非线性回归4 w( S; `# u! ~" z7 H# w3 @" b
Constraint, 约束
& Y3 y5 Y Q) @) ~3 C+ y' U0 |Contaminated distribution, 污染分布5 T& B" i/ V/ _$ P- F4 D+ k
Contaminated Gausssian, 污染高斯分布- r1 ^( k* y' i* C) X+ z# e
Contaminated normal distribution, 污染正态分布
. |- a. ^6 R" I: {( x! j; hContamination, 污染8 N. {2 Y1 |% Q5 N
Contamination model, 污染模型/ I" J% M* J0 {
Contingency table, 列联表$ c2 H& E* j5 B8 @' R7 B' y s
Contour, 边界线
3 w, x3 s2 P% rContribution rate, 贡献率
; w2 n- ]8 I+ v: l& d9 [6 P( v9 WControl, 对照
7 n, U; g+ L3 x( m- J* N2 r+ j% nControlled experiments, 对照实验
/ {& {/ ^2 `9 w6 u. HConventional depth, 常规深度- U# h" q) J* Q4 O' P& G3 q
Convolution, 卷积
6 @# p0 y8 _$ d; _4 Q' U* ?Corrected factor, 校正因子2 n% ^4 @! p. N: K6 K9 d
Corrected mean, 校正均值
! k7 h) ^/ j7 z$ g' I6 ]9 ICorrection coefficient, 校正系数4 d9 t/ {& k6 z+ _- n: j
Correctness, 正确性# o* f: [& ^7 O( p* U1 {3 d- N7 i. K/ O
Correlation coefficient, 相关系数: ~+ z V, r o: G
Correlation index, 相关指数
# r, \4 s0 f; v$ w" k+ V/ bCorrespondence, 对应" W( F( O9 g Y, a0 X) G
Counting, 计数
3 j' T$ {. H( S$ k& x7 [7 x+ T8 eCounts, 计数/频数% h9 {" s6 f) U( r1 j+ a# k$ y
Covariance, 协方差
3 h$ D; Y4 o' a/ s! JCovariant, 共变 ; d2 X, Q" y; H; @, s
Cox Regression, Cox回归* w' |1 Z6 ?( e" ~6 H( h
Criteria for fitting, 拟合准则
; n: r9 |: _* e! M( n# F& v! YCriteria of least squares, 最小二乘准则
* V( N" n" |7 A+ m2 c/ UCritical ratio, 临界比
7 p' c6 o/ W! z, n0 t, T2 g2 iCritical region, 拒绝域/ Z* P* J2 j) i6 M' r, {% f
Critical value, 临界值
6 }$ h; _7 U" e3 p; n @Cross-over design, 交叉设计
4 j. q% [) I* p2 GCross-section analysis, 横断面分析
. w5 \. @: C+ h' NCross-section survey, 横断面调查0 @# X5 N7 K. C: O" m
Crosstabs , 交叉表
& V5 q) o0 {1 [5 B' t; ICross-tabulation table, 复合表
0 i ?: U6 k! G7 WCube root, 立方根
4 k; P# U0 X$ a3 RCumulative distribution function, 分布函数7 u& k& |, P g) f. f0 Y; H* O
Cumulative probability, 累计概率3 I9 Q7 P4 F* f, a
Curvature, 曲率/弯曲& K+ t9 B) K5 e s
Curvature, 曲率 y$ { G" v, h
Curve fit , 曲线拟和 6 e; D! I- e! I1 m& X
Curve fitting, 曲线拟合
* T# f' l/ a/ q- T3 {1 OCurvilinear regression, 曲线回归
' M8 M: k; K* o* TCurvilinear relation, 曲线关系: p1 {( J1 @. L9 ?
Cut-and-try method, 尝试法
, G; ]9 O8 N$ |3 |! g* B) HCycle, 周期/ u3 P* p3 d! R% n5 H; c7 S/ `9 z- ~
Cyclist, 周期性, ?- ?- @* U/ B0 W- M
D test, D检验
9 N9 A! e- V. o/ s: G2 yData acquisition, 资料收集1 V7 B1 T+ A) s1 p8 e# Z
Data bank, 数据库- q; n0 N6 T2 c% |- ]) m* d5 h
Data capacity, 数据容量5 M; Q3 X( b: t, ?8 V' ]
Data deficiencies, 数据缺乏* h8 ]6 \9 _! a9 @7 x* b
Data handling, 数据处理
; i* u7 N9 s( cData manipulation, 数据处理
- E# W, y7 a; p. {Data processing, 数据处理
+ h7 i& @! t- T1 ?$ C8 \Data reduction, 数据缩减
" g& P" c0 I, h' v6 {4 NData set, 数据集
: b% b$ v: L& V5 ]& j/ |Data sources, 数据来源% e1 d3 ]# K/ i0 V8 P$ ?0 z
Data transformation, 数据变换
+ t. M4 h% `0 VData validity, 数据有效性, T" i: M% I" D
Data-in, 数据输入' Z. u+ B4 W8 T, [. F( m2 `
Data-out, 数据输出
4 E4 b2 e4 i0 H5 D0 c xDead time, 停滞期/ D; {; V# z( j
Degree of freedom, 自由度" X( q" L/ E( |4 H
Degree of precision, 精密度
/ g- C" o7 b Q+ S7 U: G+ X' v1 zDegree of reliability, 可靠性程度6 d5 ]# y3 r. {. |( \ h1 J; s; c0 `% m
Degression, 递减
6 J* t1 C$ I* N& `# pDensity function, 密度函数
4 b( u8 b- w F" b4 ?3 ~0 @, b+ yDensity of data points, 数据点的密度
8 x2 A% ~" l& a, q: Q- r BDependent variable, 应变量/依变量/因变量
+ m J K+ ?* MDependent variable, 因变量
) ~; o/ k6 R( W; _$ `4 hDepth, 深度. |& y. n0 e7 J( J5 _/ [2 `2 j( C, B& h
Derivative matrix, 导数矩阵
' L+ r% U6 d5 u+ V$ ~; W' sDerivative-free methods, 无导数方法) O7 O4 G, Q5 H# D- R! Y, _
Design, 设计4 ~8 g& q& c2 B8 f5 x% D6 ]
Determinacy, 确定性
. [% k- V% j9 t5 f8 CDeterminant, 行列式
0 ^2 d. f8 I8 Q* p5 Q' EDeterminant, 决定因素
) A1 o7 p- u) S0 L% ?& VDeviation, 离差) V. u8 r" w& q/ Q* V; L
Deviation from average, 离均差
( Y9 [" a6 N+ U8 k# c5 IDiagnostic plot, 诊断图 l2 L: V. y3 U. D/ u0 L# v
Dichotomous variable, 二分变量
: x+ r5 B1 y3 T/ X/ V: p8 oDifferential equation, 微分方程
9 |" X* v2 W& D: @! P( d/ YDirect standardization, 直接标准化法# D+ A1 V9 H( m& s3 _3 _$ o
Discrete variable, 离散型变量* ~% Q _9 f9 T9 u8 J
DISCRIMINANT, 判断
$ r; u5 d T! f- t) ^4 bDiscriminant analysis, 判别分析8 U$ C& y% g: Y6 W; @- D
Discriminant coefficient, 判别系数6 q2 L7 C* `% E# ~! D
Discriminant function, 判别值
7 x7 z. b3 ^0 m7 ?& |; Y; pDispersion, 散布/分散度
7 D' E) _; G( @0 oDisproportional, 不成比例的 ]( ]& E9 L# ^: Z& K! x4 ^9 I
Disproportionate sub-class numbers, 不成比例次级组含量
0 m% r; E1 P* f! I6 |Distribution free, 分布无关性/免分布
' Y1 y T1 Q- b2 hDistribution shape, 分布形状& `2 }4 k! Z0 F$ n
Distribution-free method, 任意分布法
5 Y1 b! B8 l! r, }3 A! o mDistributive laws, 分配律
' N+ t. P5 W: ~7 z0 c9 pDisturbance, 随机扰动项! H5 [1 ]/ i8 k! B! n9 ?5 R5 X
Dose response curve, 剂量反应曲线 y+ \" a' s) V2 {2 F! b9 ^# y
Double blind method, 双盲法
, X ]0 n2 f- ^$ {Double blind trial, 双盲试验
5 J1 A! P- s( t" G$ \Double exponential distribution, 双指数分布* o4 [. c7 G. [0 e1 D6 Z- j4 A$ M
Double logarithmic, 双对数
0 N4 h& E# @0 M2 e& I+ D" B0 GDownward rank, 降秩/ q& H, L* o2 \. ?9 h5 @
Dual-space plot, 对偶空间图
J/ s$ x8 j5 r7 d' vDUD, 无导数方法/ R' j! L# C7 Q6 ~9 E
Duncan's new multiple range method, 新复极差法/Duncan新法5 I9 \2 [$ Q8 _# p' u8 Z
Effect, 实验效应3 y% [$ J0 X: s) ~6 X, U0 \. j
Eigenvalue, 特征值% y2 K2 i5 C( z
Eigenvector, 特征向量
2 C$ s7 i( k& {/ u& \& BEllipse, 椭圆$ m ^1 k7 w. o3 c' j
Empirical distribution, 经验分布9 s- G! y0 c9 @- A
Empirical probability, 经验概率单位2 w3 e% O+ N4 o) G9 o/ E% a
Enumeration data, 计数资料
; y# n; `* E, i! x: Y2 D. v) bEqual sun-class number, 相等次级组含量" n7 r% \: T! _5 p7 j" F# @
Equally likely, 等可能/ `+ j1 _( v1 c
Equivariance, 同变性( r, Q4 U2 v% k6 ^
Error, 误差/错误1 n5 M2 ?) ^: S, F1 o" n2 J
Error of estimate, 估计误差6 d9 l" m0 \8 z+ v! d0 Y
Error type I, 第一类错误
, S7 z8 F. j2 _, h- g! CError type II, 第二类错误
) t5 b9 j- q; J" xEstimand, 被估量9 \2 V: \) R) g# n# e3 H
Estimated error mean squares, 估计误差均方
/ u4 X0 o4 `% `+ _$ B# hEstimated error sum of squares, 估计误差平方和9 I8 k. V& Z& v" v8 o5 A1 `
Euclidean distance, 欧式距离" J6 ^0 B% A6 f. _$ r% }+ }: x. w
Event, 事件
2 M$ C8 }( H: M: IEvent, 事件% q" _6 r+ t& `- r
Exceptional data point, 异常数据点
- Q6 k" S9 n4 ~' i2 t$ BExpectation plane, 期望平面; r5 M! x* K1 o5 X
Expectation surface, 期望曲面
' a( d4 g' Y" p& [. r$ ^Expected values, 期望值
6 ?% ?6 z, Q9 v' KExperiment, 实验4 B, T, d d) z1 t3 E
Experimental sampling, 试验抽样
9 B( g. {. Y& R/ j' D) BExperimental unit, 试验单位; c I% }/ P2 u+ B+ k3 [
Explanatory variable, 说明变量# f* c9 H& z; w' V3 G
Exploratory data analysis, 探索性数据分析$ U. J2 f: W& r& q1 {5 L# \: B
Explore Summarize, 探索-摘要
7 {5 N6 w0 M8 s2 ~* pExponential curve, 指数曲线1 l+ E6 m5 a: Z) U5 [9 ^4 i
Exponential growth, 指数式增长7 ^4 K5 X! U% f9 Y6 }7 `5 F
EXSMOOTH, 指数平滑方法 2 [6 f/ x2 |& G; I# ^+ ~; ~
Extended fit, 扩充拟合
1 h8 }& \$ s. M4 M$ K: `6 x0 u7 vExtra parameter, 附加参数- K$ v$ {- c1 V: ~/ e+ h; J( }3 F
Extrapolation, 外推法$ i# f* b+ d/ _* R- r
Extreme observation, 末端观测值- c, O1 g. X- w4 Y5 H
Extremes, 极端值/极值8 m5 T3 e% V$ F3 A" k& Z; v$ y6 b: _
F distribution, F分布
" A2 R. V, ~0 x# `9 O* R7 v+ WF test, F检验2 Y( I5 y+ e0 h/ v& n- D# C! m
Factor, 因素/因子% O+ u+ N ]1 u
Factor analysis, 因子分析
) L' g* b* M# Z1 }" ]; IFactor Analysis, 因子分析
- n4 Y8 j6 x8 F: U! nFactor score, 因子得分
6 U4 Z9 \; x6 y- f1 r$ K% K: gFactorial, 阶乘
4 N% C$ n) f4 M8 M: |# u3 r0 i& CFactorial design, 析因试验设计
2 W# S& T' [+ P' lFalse negative, 假阴性/ t* e& y6 D. h6 L0 Y% s
False negative error, 假阴性错误
7 y( u' L- h/ @Family of distributions, 分布族& T! y" ]& G* ^: R! G
Family of estimators, 估计量族$ R: V7 H; ]5 A( `6 N! U8 ^/ u
Fanning, 扇面2 ?' i& F* @, @2 Q0 z0 ~
Fatality rate, 病死率% s1 o w0 v0 \/ ~" Z1 G8 _0 J
Field investigation, 现场调查2 O% e+ ^7 t* w% K& _1 _
Field survey, 现场调查
' Q: I6 a9 t: e D, |1 zFinite population, 有限总体# a6 A0 R1 f3 p$ l- x
Finite-sample, 有限样本
- d. [% Z3 x- ]" j% x9 AFirst derivative, 一阶导数
9 f; u2 W0 e- V3 ]2 X2 x; cFirst principal component, 第一主成分
+ Z- a9 ?5 X: Z; \) VFirst quartile, 第一四分位数+ D7 [+ y2 P, e# s
Fisher information, 费雪信息量! e( `( V: Z) n) o% E
Fitted value, 拟合值
3 {- ^: [3 P2 I& Q, oFitting a curve, 曲线拟合! N8 v) S; m0 ^$ T
Fixed base, 定基
P) l& [1 L6 L& y2 Q' l& n% V4 ?Fluctuation, 随机起伏
; Z+ C( O! `4 K, R- _Forecast, 预测6 x2 U) e; E# M0 P, S
Four fold table, 四格表
8 W. x' G) \' F- G: `/ ~Fourth, 四分点6 }# D3 M" m, t
Fraction blow, 左侧比率+ I# L5 F0 y0 q5 m& Q4 |* G1 |9 ?
Fractional error, 相对误差5 i1 x/ ~- x. M- g" ~
Frequency, 频率; T; Q. R6 V2 H. @. H
Frequency polygon, 频数多边图
2 Y0 x7 P, }2 L: ?5 `+ m: `Frontier point, 界限点
6 e4 j4 _( \1 o7 bFunction relationship, 泛函关系' G* }: z. L# \; E! s
Gamma distribution, 伽玛分布6 j7 p @1 s1 S0 A
Gauss increment, 高斯增量: a! _3 [- Q$ _1 _5 |1 k
Gaussian distribution, 高斯分布/正态分布( @) B1 X7 n- |, [+ r: r
Gauss-Newton increment, 高斯-牛顿增量1 V8 B% A! Z# u; h4 s
General census, 全面普查2 C7 s" S" {6 R: K8 D; L
GENLOG (Generalized liner models), 广义线性模型 # R' Z' C- _: l! l0 h) B
Geometric mean, 几何平均数0 E0 F% U& H( Q2 ?) h
Gini's mean difference, 基尼均差
& {2 j8 |& ?: _9 K7 {( @; D: M8 y3 U% fGLM (General liner models), 一般线性模型 0 j2 F- \/ L8 H9 c+ r* M* s* f$ _
Goodness of fit, 拟和优度/配合度! Z' k1 F6 Z+ A3 A# k: H8 D
Gradient of determinant, 行列式的梯度
9 y/ T/ O% E/ ^" sGraeco-Latin square, 希腊拉丁方9 I- ]6 t) a Y0 W! W) w( u/ t6 D9 L3 K
Grand mean, 总均值: u* w& S: o# P
Gross errors, 重大错误( ~8 x0 J, H# b: N1 } H* ?
Gross-error sensitivity, 大错敏感度
; i* R5 m( @9 R: }Group averages, 分组平均
& i' }) i2 h- c. IGrouped data, 分组资料
/ Q2 T/ V) v' K5 P9 GGuessed mean, 假定平均数# G; L# X# P! N3 G) H6 R
Half-life, 半衰期
7 G Z1 E, v& ?Hampel M-estimators, 汉佩尔M估计量
5 L# g" Y, S2 x2 H% q: nHappenstance, 偶然事件/ z7 m9 w0 z8 t; Z9 r% P
Harmonic mean, 调和均数
" Z& q% M" p5 n) E8 N& \Hazard function, 风险均数
! ~. _, O, b$ @+ Q2 e1 I1 \Hazard rate, 风险率
% n# I- u/ ^" l" s; V" ]Heading, 标目
& A) q# b6 A. a: j) u- v2 aHeavy-tailed distribution, 重尾分布
* d' S! I; _7 t/ p% n, U5 OHessian array, 海森立体阵7 y# E: }- S3 Y' ~
Heterogeneity, 不同质8 \! r0 |! D8 \- u
Heterogeneity of variance, 方差不齐 . {) x7 U! }; @2 S
Hierarchical classification, 组内分组
/ |# M$ l9 v9 X4 @" x7 h0 sHierarchical clustering method, 系统聚类法( N% ], a0 h0 b6 I0 l' p
High-leverage point, 高杠杆率点
3 Z4 M! t2 E9 D6 T, ?* E; T! ]! fHILOGLINEAR, 多维列联表的层次对数线性模型( @# _6 L' |, [7 a" ?. R7 L* T: @4 W
Hinge, 折叶点6 Q. K" w" p) o& h( r. g7 u7 x( m
Histogram, 直方图4 J4 m& u8 q" K; e$ q9 A' s
Historical cohort study, 历史性队列研究
; t: [. F7 G8 {# {9 L, @; R' S. sHoles, 空洞
- r; a2 u1 t) U5 AHOMALS, 多重响应分析
. {$ A1 Q' _" L) VHomogeneity of variance, 方差齐性
, c4 o3 V" H3 ^Homogeneity test, 齐性检验
8 D# g7 t6 ]3 aHuber M-estimators, 休伯M估计量
5 D# ~% {- S h- ~% {Hyperbola, 双曲线! ?6 b6 L: m8 }6 R2 [
Hypothesis testing, 假设检验5 |1 k* P( E8 q. j. V5 f
Hypothetical universe, 假设总体
; D" i% r; c5 m. R5 i& r4 pImpossible event, 不可能事件
6 C6 i9 F. K) t- q: |8 \Independence, 独立性, S; q; b: s! v
Independent variable, 自变量* h3 b6 N: ~* t% e/ Q9 v
Index, 指标/指数( m# Q, ^2 o( @$ o0 E% q/ J! h* n6 {
Indirect standardization, 间接标准化法
1 O j/ P+ `6 i8 JIndividual, 个体, F0 U% o+ f! R% ]
Inference band, 推断带1 c v, O* t6 m9 }1 h0 Q; K
Infinite population, 无限总体* f( d! Q, q( x& a) i$ R( \# z1 p
Infinitely great, 无穷大8 [: |; x" a7 w) n! z9 v
Infinitely small, 无穷小
+ D2 t _1 S7 zInfluence curve, 影响曲线
# U/ p% v# O) n+ U ^0 kInformation capacity, 信息容量
7 t! [! A, ]* y: B9 ZInitial condition, 初始条件
6 F- S3 I; J+ _5 uInitial estimate, 初始估计值' f/ d/ l3 u6 w) M- W" q4 x+ L
Initial level, 最初水平% k! }' g1 c* ~# c/ i
Interaction, 交互作用$ B" r4 Y* ~! ]( O5 ^
Interaction terms, 交互作用项0 P" z& D! }% ]: @% d5 H
Intercept, 截距
/ ^9 e( \0 M. K; U- v& W) G$ c7 JInterpolation, 内插法
8 \" ?2 T! f# _# J+ ~# H" lInterquartile range, 四分位距
/ J: W' F) m1 K Q' e: G' M$ S* F' DInterval estimation, 区间估计
( E/ A3 J l) ~; L1 @6 W6 WIntervals of equal probability, 等概率区间
# v! b# |5 l1 \Intrinsic curvature, 固有曲率
( ~, m/ c/ G, ~9 c+ p# |, ^Invariance, 不变性, m$ [* B7 Q8 @5 o- Y, g+ \
Inverse matrix, 逆矩阵
& S! e. a, V/ L' ZInverse probability, 逆概率
2 K' H* ^* A5 j. }6 F" [4 ~. {Inverse sine transformation, 反正弦变换* g7 _3 f: b) ]' I7 u
Iteration, 迭代 . L, d5 A0 A% m
Jacobian determinant, 雅可比行列式
6 E6 |( A% g" l7 I. ?; UJoint distribution function, 分布函数& A( d: q) u2 }. x' m
Joint probability, 联合概率1 Q x. d' ]# O6 ?6 ^
Joint probability distribution, 联合概率分布
, R# o6 x8 `$ T1 J# |# x2 V; BK means method, 逐步聚类法: L4 |) L4 L* u2 T
Kaplan-Meier, 评估事件的时间长度 9 x% f! a6 v" s% i! a" k+ \! L5 D
Kaplan-Merier chart, Kaplan-Merier图
" o+ q8 S6 J" dKendall's rank correlation, Kendall等级相关
' A4 K6 d2 P8 x/ w' NKinetic, 动力学
$ q- e9 u, g$ q* @8 KKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验# T& Y' n% X. J5 b
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
& l% K1 ]9 d" G6 s+ v( `7 wKurtosis, 峰度! A( L' x& _0 M$ Q9 p
Lack of fit, 失拟
# B3 Q, J' o n0 w4 t! D, x7 ILadder of powers, 幂阶梯) B# E8 L* a5 ^$ G! ]! v
Lag, 滞后
3 h6 o7 q( r3 x/ m% ~6 x& [Large sample, 大样本
/ ~( p# j2 i2 cLarge sample test, 大样本检验
" P& S7 f, k/ D9 n7 Q5 xLatin square, 拉丁方9 i/ Y. x' p( J" g8 K
Latin square design, 拉丁方设计6 f, ^ p: `9 U8 ~( o! t% S3 T& y8 e
Leakage, 泄漏& \: D9 ?0 C. g* x0 a% ~
Least favorable configuration, 最不利构形, g' v4 m( o8 q/ b! _) j0 W
Least favorable distribution, 最不利分布( m' z' a# D- a
Least significant difference, 最小显著差法! Q8 d. k5 v. \( I3 b, x# T2 j
Least square method, 最小二乘法
% a8 b! y: K% Y, D3 PLeast-absolute-residuals estimates, 最小绝对残差估计
' f! @0 Q$ I+ x* b" }2 G f# NLeast-absolute-residuals fit, 最小绝对残差拟合" U! [( h3 N _8 p
Least-absolute-residuals line, 最小绝对残差线- l( h! O* W% U
Legend, 图例) Q: W0 Y3 A) }1 y+ l
L-estimator, L估计量
; x- ?. T$ @1 I" F) bL-estimator of location, 位置L估计量, k7 F+ i) c" k+ c2 S; F V
L-estimator of scale, 尺度L估计量
, `- h/ u4 s ^Level, 水平
4 _( n2 g0 I3 }) x0 E8 \; RLife expectance, 预期期望寿命
% }( w$ l7 C7 l$ P4 ]6 m2 x! g: jLife table, 寿命表
! W2 B. k. y$ }; @ f, jLife table method, 生命表法; w) H6 r5 a, s1 c3 C
Light-tailed distribution, 轻尾分布% k8 t( p- d: u6 g5 T7 d* p+ g( A
Likelihood function, 似然函数" F9 V+ U$ l$ P% @
Likelihood ratio, 似然比/ Z: D7 L( w$ j6 K: R' p4 z
line graph, 线图: S5 S' F4 f+ K% V6 F
Linear correlation, 直线相关
5 s H3 m8 \1 U) \, }2 c3 C+ D& p9 RLinear equation, 线性方程
/ X9 D8 c/ M, R) q' k! T8 G* ZLinear programming, 线性规划
: x# n+ _; @+ j' F3 t$ o7 A* iLinear regression, 直线回归/ ]: [3 B0 u U' E$ ]- o
Linear Regression, 线性回归) Q' h8 n& \5 v2 \5 R: m
Linear trend, 线性趋势
, P1 _6 q4 p, V( fLoading, 载荷 , n" N8 G2 a9 F3 E" q
Location and scale equivariance, 位置尺度同变性
' r& ~/ u/ a& JLocation equivariance, 位置同变性' P! |. r9 U# W; e
Location invariance, 位置不变性. k, l+ l7 u. e
Location scale family, 位置尺度族1 Y) i5 \- p9 p$ O
Log rank test, 时序检验 9 R1 V2 d* I K9 `
Logarithmic curve, 对数曲线
, y" v5 S1 \: K, x5 v( OLogarithmic normal distribution, 对数正态分布
3 m7 r- p9 E3 vLogarithmic scale, 对数尺度% R1 L2 C% E2 w- I: }- n
Logarithmic transformation, 对数变换
$ e5 \/ ?8 @9 _7 G% u. ^Logic check, 逻辑检查
) V8 r8 u R! i6 z' ?1 nLogistic distribution, 逻辑斯特分布
0 o- S! s- F7 K. T! U' Y) ILogit transformation, Logit转换
; m- x4 d8 C1 I! X, }LOGLINEAR, 多维列联表通用模型 4 ?4 h7 O6 z0 J$ o, V" g
Lognormal distribution, 对数正态分布
/ ^2 O2 \$ t/ I1 eLost function, 损失函数$ W" T. n( j" P2 m) x0 w
Low correlation, 低度相关( k+ p/ `: a' [; E4 N- ~
Lower limit, 下限
9 R% }6 G2 S: q9 {" E3 S& [5 KLowest-attained variance, 最小可达方差* i" \$ z8 j& Q+ W; e; K
LSD, 最小显著差法的简称
' V( W" |+ C; \7 iLurking variable, 潜在变量* C8 |! z2 p8 g) E
Main effect, 主效应8 O# z. u& D* W; I& D1 C& K, w
Major heading, 主辞标目3 [2 L- y @& L
Marginal density function, 边缘密度函数
- a5 r& M8 s6 Z2 R5 r3 ]Marginal probability, 边缘概率) T& j3 P5 `1 k2 _0 }) t
Marginal probability distribution, 边缘概率分布2 ~# _ Q1 j" ?+ o) t0 H8 _% I2 K$ i0 D
Matched data, 配对资料
# X- \- B3 j2 q+ {- j9 i ~Matched distribution, 匹配过分布
2 H/ f a) f3 H( A" _; V) ~Matching of distribution, 分布的匹配
: |% {5 h, y1 R& u/ eMatching of transformation, 变换的匹配7 g& N1 X; R* A1 {
Mathematical expectation, 数学期望( |# @0 |. |* Z( y
Mathematical model, 数学模型' w# V7 z7 Q1 u
Maximum L-estimator, 极大极小L 估计量
) Z# S! W6 I3 t! o2 A4 ?0 kMaximum likelihood method, 最大似然法0 h3 {' S& }1 J# Z2 C, B( a1 l6 ?
Mean, 均数3 V" }6 j: f5 G; W
Mean squares between groups, 组间均方
8 o' U% _( G; k! xMean squares within group, 组内均方
- A1 A: Q- \7 Z6 U4 x. LMeans (Compare means), 均值-均值比较+ j6 I: T$ S3 @% `
Median, 中位数
; D+ k" \9 f7 [2 B- g, ~8 l8 ]Median effective dose, 半数效量' k/ j$ V0 N7 e
Median lethal dose, 半数致死量
6 e% s) t1 c, V& wMedian polish, 中位数平滑
$ ` [( T: l6 z$ n% W! B9 ?; \Median test, 中位数检验. P: X! n1 q* i* `
Minimal sufficient statistic, 最小充分统计量1 n e: Z- v) b9 p; I/ x- Z. k
Minimum distance estimation, 最小距离估计
4 Z u: o! Y' H7 ~Minimum effective dose, 最小有效量
3 u; e" L+ b6 y0 J& I! V; u4 KMinimum lethal dose, 最小致死量& p( ?5 {( a' p5 K4 L- f) k
Minimum variance estimator, 最小方差估计量
6 _3 I( S& d' h& o. x+ gMINITAB, 统计软件包
% y/ D! ~' m6 X5 g% @5 {Minor heading, 宾词标目. p' f0 W% Q6 ?$ I" s% V& x
Missing data, 缺失值+ S, [ L A, ?4 s& `5 c
Model specification, 模型的确定+ u# u! r% R: a0 M* J4 X0 d
Modeling Statistics , 模型统计/ _3 H4 T/ F* L" r7 \
Models for outliers, 离群值模型0 C6 i- p' p7 `& [( C9 j
Modifying the model, 模型的修正" y+ t9 t! t6 C/ H% F# B V
Modulus of continuity, 连续性模
1 i5 w8 J4 p% o: Z& m3 a2 vMorbidity, 发病率
+ M- z! V" o4 u1 M+ wMost favorable configuration, 最有利构形
5 I2 P& d5 n& v- B6 E! nMultidimensional Scaling (ASCAL), 多维尺度/多维标度 M. l0 h' S* O/ ^* W+ q! }
Multinomial Logistic Regression , 多项逻辑斯蒂回归
5 v! I8 _+ _# W8 W, _! pMultiple comparison, 多重比较
1 P* J2 @& c& G6 h% MMultiple correlation , 复相关
1 k# D/ ^ [* O- Y p7 lMultiple covariance, 多元协方差0 X6 L$ q* L7 ?6 w: D k/ B, ?
Multiple linear regression, 多元线性回归, I# L. O' C) h4 e! n; c
Multiple response , 多重选项
& T5 @) z, t) I2 _Multiple solutions, 多解
' B+ y* Z+ X |# G9 x7 vMultiplication theorem, 乘法定理: ~. t! V1 R w
Multiresponse, 多元响应) h( [# m, Y1 Q8 L% A6 D. L T
Multi-stage sampling, 多阶段抽样
. W) g; S% \& g2 ~* G% ?" w: nMultivariate T distribution, 多元T分布
+ P0 J2 n; ~, f+ c1 IMutual exclusive, 互不相容1 X7 F: `7 J% h/ a; o
Mutual independence, 互相独立
) P3 N. K$ h/ w( a7 pNatural boundary, 自然边界, e) _0 G; E# q) t. I
Natural dead, 自然死亡
1 v. ^2 z, v+ H: e8 S$ {Natural zero, 自然零6 Z* y; w. o) { d4 ~* c6 a
Negative correlation, 负相关& ?8 i! ^6 V1 L4 A: k& D
Negative linear correlation, 负线性相关3 v# o, X7 Z9 M0 L; v) o
Negatively skewed, 负偏 L; D1 ^# i* q/ R
Newman-Keuls method, q检验 i+ A# ^6 b2 e8 H1 j8 i
NK method, q检验
, a0 e. f8 ?: X8 QNo statistical significance, 无统计意义' ^9 ~" D' a- H3 O2 `! n- |
Nominal variable, 名义变量3 e( O) H6 u6 Z$ y& P+ H- x
Nonconstancy of variability, 变异的非定常性
8 Q6 A4 Z2 ?: r1 BNonlinear regression, 非线性相关4 O2 c7 x, `5 q: d' _+ g/ u
Nonparametric statistics, 非参数统计+ F5 s9 K3 s" W! d. k( @7 o4 j
Nonparametric test, 非参数检验
3 w6 r7 r- A6 X/ y! ]Nonparametric tests, 非参数检验) [7 G3 K; F% w4 p8 X0 N
Normal deviate, 正态离差+ ^- r- T( U" |0 W
Normal distribution, 正态分布. d: ?" c7 a7 K+ P$ R' \: Q
Normal equation, 正规方程组
& K/ `% w7 _+ E5 ?+ r( b1 C ]Normal ranges, 正常范围
$ _5 x# ], o/ N2 x6 c3 F( \Normal value, 正常值
( R- ^6 e, |5 f yNuisance parameter, 多余参数/讨厌参数0 k9 g9 e9 ]& k2 J2 y$ j. V3 J+ K
Null hypothesis, 无效假设
; W/ D4 Z1 o. b* o% l, eNumerical variable, 数值变量- B( K/ e* V: \$ Y( o9 ]
Objective function, 目标函数
6 `9 p3 z, ?7 v/ @Observation unit, 观察单位
$ c& v* K' _& O6 mObserved value, 观察值
, i& M1 X% |1 i, y W( yOne sided test, 单侧检验 p8 O$ j9 c) T( }; Y4 C
One-way analysis of variance, 单因素方差分析
+ L0 B U2 [! P& AOneway ANOVA , 单因素方差分析
* ?, o0 P. _, d* ]; Y, rOpen sequential trial, 开放型序贯设计4 c7 w! y- |6 H1 @- |
Optrim, 优切尾) r) w5 f3 c9 W+ B q
Optrim efficiency, 优切尾效率
) D! b) m$ p hOrder statistics, 顺序统计量
M6 c- H" W5 h ?& UOrdered categories, 有序分类
% z6 h. b, X; H/ d0 n c. cOrdinal logistic regression , 序数逻辑斯蒂回归
- Z [4 D f* a1 G$ F9 dOrdinal variable, 有序变量, U( y; s8 m1 s
Orthogonal basis, 正交基* ]; ^) e( |/ s7 W2 f K
Orthogonal design, 正交试验设计/ f& s7 f( P" j% m8 _
Orthogonality conditions, 正交条件
2 H( l7 i" E1 C* A" N2 q/ w1 y+ NORTHOPLAN, 正交设计
$ L2 h3 t7 i7 w: v: ~$ |Outlier cutoffs, 离群值截断点
4 M, `" U* ^$ l' BOutliers, 极端值/ O; G) O5 m3 y( r$ Q
OVERALS , 多组变量的非线性正规相关
- O. A8 b- J1 [0 j# ROvershoot, 迭代过度
( K& _ G) d; A N/ y5 B4 u" GPaired design, 配对设计' X& P/ {5 D2 O
Paired sample, 配对样本2 ? y; ?6 W0 [+ X7 \
Pairwise slopes, 成对斜率5 P* `- S0 d2 D) A+ g
Parabola, 抛物线
3 y# D5 A) q8 a; R% ~Parallel tests, 平行试验0 q. U. e( _" U4 ~0 s6 F
Parameter, 参数3 J T/ U9 a: R; g
Parametric statistics, 参数统计/ P" {6 I4 ~7 T
Parametric test, 参数检验5 G- {; g6 r$ |
Partial correlation, 偏相关8 }8 z9 Y! n; H
Partial regression, 偏回归" J8 C9 \5 Y' j* ?6 k; \5 U6 J
Partial sorting, 偏排序6 V# ^0 K6 B5 r- p
Partials residuals, 偏残差/ N/ L7 G. p8 ]! g5 A* O
Pattern, 模式
% J! \3 Q2 E5 C- xPearson curves, 皮尔逊曲线
) m* F2 Z$ @0 QPeeling, 退层
# x# G+ \4 Q9 k. r; iPercent bar graph, 百分条形图
0 C- M2 z0 a6 K: M$ cPercentage, 百分比
" y) v' _; r7 v3 I' n: Z3 ~+ e% U# CPercentile, 百分位数& Q7 U! t# ~- s; O. h: O
Percentile curves, 百分位曲线
+ `& l0 Z% j* @, y$ E" pPeriodicity, 周期性
* D1 h7 I* C7 s3 r ]2 mPermutation, 排列) t: j# M3 [: X9 C- U
P-estimator, P估计量4 t9 j7 ~0 u$ o' V7 [5 j+ P& n
Pie graph, 饼图* }- ?* ?, e' Z' m
Pitman estimator, 皮特曼估计量' O) n8 X" g) E& P
Pivot, 枢轴量/ t% o; d8 B/ f T4 \
Planar, 平坦/ v' d* F; O' s. w. U( z
Planar assumption, 平面的假设
3 r0 w6 ]0 w E8 c! q5 vPLANCARDS, 生成试验的计划卡
. n S' e. x# Z$ W8 i2 c# iPoint estimation, 点估计* i9 ]; k6 L. w J( z+ H
Poisson distribution, 泊松分布+ L H; e* J6 @ y1 S
Polishing, 平滑# ~' v# D. s" {5 r- o8 l2 L! m
Polled standard deviation, 合并标准差- D6 b7 x/ w3 K/ q" Z
Polled variance, 合并方差% L% S6 [% Y) F$ Q5 [
Polygon, 多边图 P, v; e* H1 B1 i) Z& I0 Y
Polynomial, 多项式: Y u6 p6 z* D/ m# o7 v
Polynomial curve, 多项式曲线* C# m( v }3 j7 x4 b) S
Population, 总体
) R0 f* N) X' s8 C3 [Population attributable risk, 人群归因危险度
% }8 n- y: X- i& P" S, ?Positive correlation, 正相关, F" R0 q- K$ C w( _) {
Positively skewed, 正偏, B! Z* |' \4 Q& [; _$ w4 X
Posterior distribution, 后验分布3 V) h! T0 x, x3 n$ [) u' w8 D
Power of a test, 检验效能
1 p, \1 n( O8 U& _& S' ?Precision, 精密度
7 Y3 k' @: s; h3 RPredicted value, 预测值2 ? r1 Q( ]1 ~, V* i8 u- }( Y
Preliminary analysis, 预备性分析
: J3 E4 J% r8 _5 q6 n& n9 pPrincipal component analysis, 主成分分析
5 f: n3 {4 m8 E; E9 W1 ^+ E0 ]Prior distribution, 先验分布
& a' D* v+ b. U/ u I! n& CPrior probability, 先验概率
( t6 E. K4 V* d8 I! bProbabilistic model, 概率模型
6 j& u5 f- R3 u2 I9 a" `probability, 概率
9 J, O) k+ Z) w% K- bProbability density, 概率密度( P, y, o' k a. ~' Q
Product moment, 乘积矩/协方差$ c& Y9 N$ f$ w( d- p
Profile trace, 截面迹图9 R8 `0 p# G! G: A" {5 w; l Y' F4 p
Proportion, 比/构成比
: M* E# ^6 ^7 ]3 u7 _* iProportion allocation in stratified random sampling, 按比例分层随机抽样' _7 w4 D1 W3 o# u* q" x. d
Proportionate, 成比例5 v" M; G* g1 e
Proportionate sub-class numbers, 成比例次级组含量 Q! t9 l! V/ b& `9 u7 b
Prospective study, 前瞻性调查9 I8 i, ?* |- C9 U X
Proximities, 亲近性
& o3 f. S5 Y6 w ]! s. IPseudo F test, 近似F检验/ x6 g1 L, n9 G3 K
Pseudo model, 近似模型5 L' ]" m ~. Q$ K" s
Pseudosigma, 伪标准差
5 q: Q5 b: }$ T8 `0 G& P3 k8 DPurposive sampling, 有目的抽样
Q& m ~" ^- K/ ]/ Y& aQR decomposition, QR分解& {6 [ m; j7 k
Quadratic approximation, 二次近似
' ]$ W9 h! h* ?$ L9 TQualitative classification, 属性分类9 |& U0 X, o: F" P0 d' R
Qualitative method, 定性方法
' \8 M, s5 y Y. ]Quantile-quantile plot, 分位数-分位数图/Q-Q图8 F% ^, i# h* G, @
Quantitative analysis, 定量分析
' e, k' S2 v" u) ?Quartile, 四分位数
* m+ X) _3 r, g) A1 H0 fQuick Cluster, 快速聚类
y9 q9 T% M; `/ E" @% |" MRadix sort, 基数排序8 h1 |6 i. @/ M
Random allocation, 随机化分组( Y7 @ u' [0 m3 y
Random blocks design, 随机区组设计+ W6 {2 C; O$ b3 `7 l+ }- S& E3 }9 H/ |
Random event, 随机事件8 Y) J- S: F0 S8 v, W
Randomization, 随机化
8 G. l7 _; W4 Y* \5 I: H7 k4 p" fRange, 极差/全距( U/ ?- s8 C, a. p3 V
Rank correlation, 等级相关8 N- R5 }2 t! I, o& d2 z9 Z/ R. l
Rank sum test, 秩和检验+ p+ P. Y" P9 U7 c
Rank test, 秩检验
9 f3 \3 e+ ]+ c' G e+ o# a5 a" J+ o6 ]7 iRanked data, 等级资料
/ H9 b- W0 D) h5 n+ U( N& s0 ?/ LRate, 比率; ^/ X0 @/ B. e( F
Ratio, 比例2 L( K. e) z! f+ \- r8 |$ a5 x
Raw data, 原始资料
! c' M/ W( Z# \. lRaw residual, 原始残差
7 ^) \# ?; i% _* _2 ?Rayleigh's test, 雷氏检验
3 t# ?* d+ e3 F" {" U: oRayleigh's Z, 雷氏Z值
$ W4 _3 o- d- ]" w. BReciprocal, 倒数% _+ h7 U0 k9 Y' ?, L7 b s$ W
Reciprocal transformation, 倒数变换
1 l! K' q% s, j4 w0 lRecording, 记录
0 _4 j% R W% Z7 v0 R1 gRedescending estimators, 回降估计量/ d0 `3 V- W$ A3 P
Reducing dimensions, 降维! R' C2 k. `7 V5 v
Re-expression, 重新表达: u9 K1 E2 l8 [
Reference set, 标准组
+ X4 @; j7 A/ ~: x( R: GRegion of acceptance, 接受域
( o5 t; q: w* |* N3 O& S. kRegression coefficient, 回归系数1 V F/ M9 I7 Q4 q; }* G0 t. J
Regression sum of square, 回归平方和
) ~7 R! e" M4 N8 \Rejection point, 拒绝点
- y7 B" Y% T- x f t HRelative dispersion, 相对离散度- { G' d: f$ S, f" P# @# z
Relative number, 相对数4 }- B. m2 N& ?! i! O! L
Reliability, 可靠性 u% n% N5 M, T0 x8 k: s1 p
Reparametrization, 重新设置参数
! B& z6 a# H* N) yReplication, 重复
+ X# T/ T9 M N' j# ^- ~Report Summaries, 报告摘要' Q, Z4 F+ q3 G9 V6 `. J7 h
Residual sum of square, 剩余平方和
* V( |9 Y% O8 dResistance, 耐抗性( @5 E6 c8 X, B6 a: w n( n1 x+ J
Resistant line, 耐抗线
% T& _4 Q* u' H( Z; y1 uResistant technique, 耐抗技术
+ u% ~0 _0 A2 G2 R2 c* ^R-estimator of location, 位置R估计量
9 Y9 q U U5 i4 f3 FR-estimator of scale, 尺度R估计量; h# Z3 G& H2 g: z k9 t
Retrospective study, 回顾性调查/ J/ H6 |% _1 Z S( J
Ridge trace, 岭迹
9 [8 u$ K7 R. M( w+ x; R! X( v0 I# nRidit analysis, Ridit分析
?9 \2 m' H6 Q; \Rotation, 旋转
4 }( U" z9 r* n' b, }+ h" e6 s% bRounding, 舍入
0 u2 `5 r- p8 _, z* o/ gRow, 行" v# T$ n2 ^5 U% j
Row effects, 行效应5 u/ ]5 S1 ?8 ]8 Q9 L/ s( e% q
Row factor, 行因素
! ]! P4 l1 X) Q: z, bRXC table, RXC表6 C8 r) ~) P+ C# a- G$ }
Sample, 样本
/ M. u) ?5 v! y6 v* M" o4 Z. @/ b' pSample regression coefficient, 样本回归系数
5 M) h; `: ?7 g9 Y, ^Sample size, 样本量' m4 C$ @% D3 }
Sample standard deviation, 样本标准差1 P0 L4 \% u, S2 g/ B" `4 O0 C7 r
Sampling error, 抽样误差. S2 \ e, L7 l0 x+ }0 p3 K
SAS(Statistical analysis system ), SAS统计软件包
9 i; V0 F! X1 d' N8 m: Q9 y1 S' v2 CScale, 尺度/量表
5 ~7 ~6 M9 J. x8 @- bScatter diagram, 散点图
0 s* n5 u" t3 U/ n& K8 L. I s0 c; c ~Schematic plot, 示意图/简图) I4 q& V1 |3 d. n$ x- {8 E
Score test, 计分检验
" n7 G9 a# G# a4 b7 A1 s; ]/ |+ b& gScreening, 筛检$ p2 ~ D, B$ d4 [8 q
SEASON, 季节分析
/ h- K6 [9 K ^# b8 qSecond derivative, 二阶导数
/ k' `: B) u$ }; n6 T8 p. rSecond principal component, 第二主成分
% }( v7 x! ^. @8 _4 I. lSEM (Structural equation modeling), 结构化方程模型
, F- d0 n% Q3 D& sSemi-logarithmic graph, 半对数图
$ T, G8 N2 I( YSemi-logarithmic paper, 半对数格纸1 I( p5 q/ S! t- u* W7 R2 L. \; V3 q
Sensitivity curve, 敏感度曲线
" [; t- v y7 ^' [Sequential analysis, 贯序分析
0 Z$ G7 z2 I" ^: u3 a$ QSequential data set, 顺序数据集
+ k# Q8 d0 D! b2 H) `$ F) _Sequential design, 贯序设计
+ ] t+ W9 x! [Sequential method, 贯序法
3 B) X6 ^2 [8 dSequential test, 贯序检验法2 r! g/ I: e8 w+ {' _0 ]
Serial tests, 系列试验
2 F2 K8 ?2 p1 q [. DShort-cut method, 简捷法 0 i% H5 W" P; F$ M
Sigmoid curve, S形曲线
/ g* X9 f7 ~- F3 }9 i5 LSign function, 正负号函数
, `# k7 V/ T: ?# \4 E$ N0 [' q2 HSign test, 符号检验
2 J8 N( K6 Z$ e$ k3 R$ _Signed rank, 符号秩8 D5 C2 O/ s, V" a+ U: X
Significance test, 显著性检验9 E9 V" j' g2 @& h* V
Significant figure, 有效数字
- s6 v( K. {9 ?Simple cluster sampling, 简单整群抽样 Z! m; V3 \2 P g
Simple correlation, 简单相关
1 @! u1 P& z* K3 i ZSimple random sampling, 简单随机抽样
/ D; W6 f7 P2 n& s WSimple regression, 简单回归
2 C; }8 j3 \; X! @) l0 asimple table, 简单表2 l8 K% S# |' Z S n* f
Sine estimator, 正弦估计量
+ a# c( B8 T& K6 G4 ?Single-valued estimate, 单值估计9 M5 N% @3 S/ N* t
Singular matrix, 奇异矩阵7 Z& Q4 ~0 }4 A5 A7 g6 f+ @3 S2 n
Skewed distribution, 偏斜分布 e! ~! S$ Z; s$ t9 J. k1 [
Skewness, 偏度
9 D8 m- ?1 h; y! M5 fSlash distribution, 斜线分布! M/ u7 ]7 ]' @+ L
Slope, 斜率) Y' V7 L6 J+ @( {
Smirnov test, 斯米尔诺夫检验! D; O; m' [. _
Source of variation, 变异来源
+ m; Z) Q! N% i/ W: D1 }Spearman rank correlation, 斯皮尔曼等级相关- {6 f1 c* A2 V% Q- P
Specific factor, 特殊因子0 ~4 u0 |- C. e5 h5 s4 r
Specific factor variance, 特殊因子方差
! W: E1 n2 j3 E0 NSpectra , 频谱
. u0 s4 S$ p" qSpherical distribution, 球型正态分布, v: L. f( I; Q/ B. R/ h* I2 l
Spread, 展布
9 ?4 }2 p+ ^% k7 s$ E J' \SPSS(Statistical package for the social science), SPSS统计软件包5 u9 g% G# d* e8 \" G
Spurious correlation, 假性相关
; o0 S5 p3 ^: P& ]8 \9 S& B0 g: |# WSquare root transformation, 平方根变换
8 @( O$ h+ x3 l, R/ d/ cStabilizing variance, 稳定方差% M" y2 m& \3 x; V! z1 n- f9 b
Standard deviation, 标准差
+ W; [; ]( ^) [# A R0 O( ^Standard error, 标准误
& ^4 j P9 O5 [Standard error of difference, 差别的标准误
' K( T& t+ t& D2 f! C* [7 [Standard error of estimate, 标准估计误差
) F% u' e3 s7 S! ^8 R# w! L" yStandard error of rate, 率的标准误
l8 v% K' z" `* o8 [Standard normal distribution, 标准正态分布
% b: M# |, u4 P6 TStandardization, 标准化7 [- `$ ^1 |2 V& a3 b2 J
Starting value, 起始值
! E$ F! D) e: ?/ u6 QStatistic, 统计量
) g1 ] D3 i3 b& n5 N( `! ^ c( ^' sStatistical control, 统计控制% j8 v/ i. [/ b
Statistical graph, 统计图. n, z0 _7 F% j6 e
Statistical inference, 统计推断- c: Z, d5 _/ C: A
Statistical table, 统计表 o& E8 {' B$ T2 t7 z7 I
Steepest descent, 最速下降法
, y( \5 t% s( `* j7 ^& zStem and leaf display, 茎叶图1 I3 n3 A0 _! h7 ]% H0 `( q3 {
Step factor, 步长因子
5 D. b- \. X3 `# c, a, M% r: eStepwise regression, 逐步回归
0 a. o- r0 O- p# ZStorage, 存3 I$ X6 n% T, k& ~5 H
Strata, 层(复数)
( N# a, J8 A, d! N) L: q" S6 tStratified sampling, 分层抽样9 M/ p0 h, U4 h
Stratified sampling, 分层抽样0 @3 o, K8 _3 z
Strength, 强度/ l: I9 x' c5 m3 O- O: `
Stringency, 严密性
& ?* \+ I/ K9 M+ o* o" n# gStructural relationship, 结构关系 c2 H7 }! w0 _1 I5 [1 C" o+ R3 R
Studentized residual, 学生化残差/t化残差
5 e1 o# @2 O" wSub-class numbers, 次级组含量
9 i* ?. ]- J/ {- } c5 tSubdividing, 分割 h6 O! T/ ? u1 H c) k/ t) W' A; N
Sufficient statistic, 充分统计量4 D, z# z" X+ q. e3 }" f
Sum of products, 积和
& d m1 N+ A/ j0 ASum of squares, 离差平方和4 g: |" r B5 f, o$ d# y
Sum of squares about regression, 回归平方和2 N+ r' R, {/ F* u! L# r
Sum of squares between groups, 组间平方和
! E( g8 R" n( f4 M5 h2 L! pSum of squares of partial regression, 偏回归平方和! I! o( Z1 S" \8 Q/ e4 U
Sure event, 必然事件
5 _% O1 U1 r: jSurvey, 调查
; J4 x( T* }( }Survival, 生存分析6 M ?0 U. {/ p2 U
Survival rate, 生存率# ~) e7 Q( O: D4 f, `
Suspended root gram, 悬吊根图3 O1 F+ C) M V( N. h. R4 H
Symmetry, 对称9 g/ e% [! z* o" J% q
Systematic error, 系统误差 X& p) }/ y# F: H: P. i* m
Systematic sampling, 系统抽样# V: P9 X, o: z# _9 u
Tags, 标签! k1 H) O* Z6 D
Tail area, 尾部面积
; g9 Q' l/ m3 [' c: z& Y+ ]7 L6 HTail length, 尾长2 j9 T* o% b( f& X
Tail weight, 尾重
! S2 ?; l M4 p. l& gTangent line, 切线
: N' x, o, G& y2 T/ hTarget distribution, 目标分布: w Z; {- }4 a. j8 q( g9 v. M& [
Taylor series, 泰勒级数. D4 X8 ?# w; v' ]' V& J
Tendency of dispersion, 离散趋势
! R6 o ^9 b$ }1 hTesting of hypotheses, 假设检验+ F( Q) B7 n; o2 r* Z7 I; t5 z
Theoretical frequency, 理论频数! m; b# y( f! |' P7 Z
Time series, 时间序列
% x& [* K; U% M# t, ~! H" H% LTolerance interval, 容忍区间6 j* L) ^6 i' F1 H7 J0 }
Tolerance lower limit, 容忍下限
+ x4 X1 q& l( E, VTolerance upper limit, 容忍上限$ `6 G M" d( G* d: c
Torsion, 扰率+ S" n# S! e$ B: a7 t3 J9 z
Total sum of square, 总平方和
/ R* }4 D6 c+ N4 a$ l! K2 YTotal variation, 总变异
7 A1 y; B. w. r$ P2 |' M+ UTransformation, 转换, `( ?5 u8 z3 ]
Treatment, 处理
; B7 a2 s/ {/ a6 HTrend, 趋势
0 o( K9 h/ |+ ]+ l7 j1 L# `Trend of percentage, 百分比趋势
. n1 V% K$ o7 m% `8 E5 E4 mTrial, 试验9 H1 O2 F# G2 S$ p, M
Trial and error method, 试错法5 G) M, e2 L, j% N& r
Tuning constant, 细调常数
5 _1 b$ o5 V1 PTwo sided test, 双向检验& H7 R! x; H( ^* @' e1 g
Two-stage least squares, 二阶最小平方! }7 B4 c, j, P6 G# y2 w
Two-stage sampling, 二阶段抽样
2 _! M) i) }2 Y3 n5 TTwo-tailed test, 双侧检验% a1 x4 I! c5 P: i, N ~7 o
Two-way analysis of variance, 双因素方差分析
. l( b3 Q" t' f! ]Two-way table, 双向表
8 j4 l8 T7 b+ G* bType I error, 一类错误/α错误
* X& d4 w# {1 n& i) W5 VType II error, 二类错误/β错误
6 h, l# s0 q1 L, Z) WUMVU, 方差一致最小无偏估计简称
" U( b/ u. A- e- m) q- J$ w6 Q' MUnbiased estimate, 无偏估计
+ X, F& u/ M8 f5 F$ F1 nUnconstrained nonlinear regression , 无约束非线性回归
( ~4 C" i e. T- B0 j9 _Unequal subclass number, 不等次级组含量
& R. X$ H* K4 L! YUngrouped data, 不分组资料
) i9 n# [' c# ?2 cUniform coordinate, 均匀坐标0 j7 h0 C Z- @' x; S8 N: n
Uniform distribution, 均匀分布
6 @8 J' M/ N4 F0 d5 r* U4 OUniformly minimum variance unbiased estimate, 方差一致最小无偏估计
& h8 I" }* _! ~$ `Unit, 单元2 m3 o* ?7 F* j; X* _$ M, g/ X
Unordered categories, 无序分类
/ H! F/ U' g3 fUpper limit, 上限
. l5 V [2 ^+ b% c6 k2 F: N# sUpward rank, 升秩2 ?0 q& T6 n* G3 [, C5 n7 Q( B( B
Vague concept, 模糊概念4 p7 h6 f3 @% s# O" I; W
Validity, 有效性1 `" H0 l% v! x% L% F
VARCOMP (Variance component estimation), 方差元素估计
5 `! Q4 R5 h: S6 w9 Q" l1 ^Variability, 变异性
6 T! u- M( ?/ _" kVariable, 变量
+ ^( [ V( Q: F6 Y! d/ o" [Variance, 方差
4 V9 w2 G* ]3 [$ u; h/ V1 OVariation, 变异: H3 x* O9 a- @% y/ L ]
Varimax orthogonal rotation, 方差最大正交旋转& h3 m1 s6 }: ` f2 P, g
Volume of distribution, 容积
( K5 ^5 g( y, U4 dW test, W检验3 `$ I* `$ M2 s& ?; T ^* @0 O
Weibull distribution, 威布尔分布/ r# |% ?" V1 W* S
Weight, 权数
~7 x4 {! B* A: O% J+ Z7 k, LWeighted Chi-square test, 加权卡方检验/Cochran检验
" C/ U* f* ~1 S' f! b' lWeighted linear regression method, 加权直线回归
: y% a0 ] B% }" O3 ^0 k; |. LWeighted mean, 加权平均数
4 {' \' {2 d$ _$ \$ H1 w+ YWeighted mean square, 加权平均方差$ [9 l! U, ]5 n+ V
Weighted sum of square, 加权平方和
: I0 _9 g2 e) IWeighting coefficient, 权重系数
: P* t# R5 l5 H! R6 jWeighting method, 加权法
9 L9 v4 |; s6 D0 VW-estimation, W估计量
" P! h" g* |( G4 X. }W-estimation of location, 位置W估计量
. y7 b, K) O' N b3 }+ r7 w6 |: cWidth, 宽度
; ^+ E; ?$ }' {7 I) VWilcoxon paired test, 威斯康星配对法/配对符号秩和检验
& p h1 b% K* m& d5 p CWild point, 野点/狂点+ z$ V% N5 E; u
Wild value, 野值/狂值
* B- ~( Y" K# X0 w& P0 a3 FWinsorized mean, 缩尾均值
8 p) n; \0 L$ L, _, G2 J1 pWithdraw, 失访
. p; A5 S1 e3 E" [1 AYouden's index, 尤登指数. o1 R2 n# X# k1 w7 Z/ N" ~
Z test, Z检验2 _% T7 h- g1 Q: L9 R, R
Zero correlation, 零相关7 B/ ^' U) P* S2 O! g: s& b. R
Z-transformation, Z变换 |
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