|
|
Absolute deviation, 绝对离差
! O+ @8 ^& x; l1 S% Y% ~! D( ?+ ^Absolute number, 绝对数* U I9 l4 ^" h' G2 P" n
Absolute residuals, 绝对残差
' C: P) ?8 l" K0 M2 s& V2 }; ]Acceleration array, 加速度立体阵
0 ^7 j+ M( ?* T6 RAcceleration in an arbitrary direction, 任意方向上的加速度
6 g& g3 p: c4 r! vAcceleration normal, 法向加速度' v; b ~/ y* O8 w1 H
Acceleration space dimension, 加速度空间的维数
3 X# l* K: T5 x$ E' EAcceleration tangential, 切向加速度% J. @) o! U2 \4 } y9 t
Acceleration vector, 加速度向量7 e# ~, g9 I6 j. V- {! \
Acceptable hypothesis, 可接受假设
6 o6 `& ^* G$ j2 t" u( Q5 yAccumulation, 累积
0 O2 p! S. o+ }Accuracy, 准确度
2 v& K2 [' C' b' u$ _ k! d2 PActual frequency, 实际频数$ b% }+ W2 @' q) q+ k4 Z( J
Adaptive estimator, 自适应估计量 F2 z+ W6 l& q1 d( k
Addition, 相加# t0 q- h0 @- C" T% Q" w" ^5 f9 B
Addition theorem, 加法定理
) |3 ]( P/ m% k% U# eAdditivity, 可加性2 v- q8 f6 r, ^# V) u% H" Q
Adjusted rate, 调整率! ^' w& v. T/ M- D$ w+ ~& y
Adjusted value, 校正值$ g7 D) `* ?, b6 B
Admissible error, 容许误差
$ E6 r/ C4 [4 |: _( D. QAggregation, 聚集性
# g% [/ w. k9 w' Q8 o9 VAlternative hypothesis, 备择假设
( B% d9 B2 q9 a5 lAmong groups, 组间
, T! X: U+ i3 K. f9 L+ x1 mAmounts, 总量
" m) P! o7 |2 H- eAnalysis of correlation, 相关分析. C& A7 k5 c! i( C# I
Analysis of covariance, 协方差分析
7 d0 L( p, X L/ U1 O+ LAnalysis of regression, 回归分析
2 G6 x6 }* F# g8 C8 ^Analysis of time series, 时间序列分析
' {2 ~- _* @! e8 P- F' TAnalysis of variance, 方差分析
; b" w0 x- s4 H. c. Z& L5 z AAngular transformation, 角转换
& F) r7 E" c! G! ~ANOVA （analysis of variance）, 方差分析
( o) |; \! v8 D& q1 ~% w) IANOVA Models, 方差分析模型1 _5 C" d* g# m' G& K
Arcing, 弧/弧旋0 \! Q. m5 _ e+ R; E% h
Arcsine transformation, 反正弦变换
; O* M+ @$ }+ i8 wArea under the curve, 曲线面积5 }: E- t( @- T
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 4 o9 T& }! v1 W. ]9 e j1 f
ARIMA, 季节和非季节性单变量模型的极大似然估计 3 y9 t3 K% `7 N! \! r# b6 f4 {( |0 E
Arithmetic grid paper, 算术格纸
5 A l% D8 r, R* \Arithmetic mean, 算术平均数
$ o4 M% W# e# u3 C0 L' Z$ T- O# gArrhenius relation, 艾恩尼斯关系
( T4 P$ i/ _. {% l6 NAssessing fit, 拟合的评估4 U0 q7 ]+ e5 E2 @
Associative laws, 结合律% I: H B( \( z! j$ v- t
Asymmetric distribution, 非对称分布, s3 k! P: V1 u- G
Asymptotic bias, 渐近偏倚
; G: H8 d" T, xAsymptotic efficiency, 渐近效率. a0 } j3 j, r+ R
Asymptotic variance, 渐近方差
/ `3 u; i, `$ e) U6 G( T5 E9 YAttributable risk, 归因危险度
/ } |. N2 \% z" `; y6 M8 LAttribute data, 属性资料
0 q. a' f8 n9 TAttribution, 属性" N* F' Y0 S( e' w9 f$ J) O
Autocorrelation, 自相关! b& J( p. r9 I( ]4 E
Autocorrelation of residuals, 残差的自相关
1 R @: ?! o. m) m; F8 d& ^1 k5 VAverage, 平均数
/ w# Z& A6 g; e, t! x0 ~% Z5 nAverage confidence interval length, 平均置信区间长度( X% s( K/ w, K0 p4 \) R" O
Average growth rate, 平均增长率2 b8 F! p7 G' y& ~% N# }! [) T
Bar chart, 条形图, \. ]6 g# P7 T+ ^ S
Bar graph, 条形图
( n7 M4 }2 d% |9 [! b! r: w$ ZBase period, 基期7 Q' F8 I: B$ d
Bayes' theorem , Bayes定理
& @0 c2 S, v: M1 U( z4 ABell-shaped curve, 钟形曲线4 W6 N0 E! s% {9 R$ q! n
Bernoulli distribution, 伯努力分布
, y+ K' ~) c& l# Q$ `/ ABest-trim estimator, 最好切尾估计量
' W1 Y$ V x9 L- HBias, 偏性
1 m4 x* D8 J3 X* c4 U# BBinary logistic regression, 二元逻辑斯蒂回归
; v% \; x4 }& V/ M* b9 L: `2 IBinomial distribution, 二项分布
& K- P+ a+ U- A+ E1 i" pBisquare, 双平方+ S& h6 v' e8 X, O* A ? ~4 ^
Bivariate Correlate, 二变量相关* u4 }, H7 h9 S$ T$ k h& T4 g+ X
Bivariate normal distribution, 双变量正态分布. x+ |, U; ~& Z0 d
Bivariate normal population, 双变量正态总体
6 y, I; V9 O- MBiweight interval, 双权区间
7 M# W! o( X8 _$ v0 |- E- L* e! oBiweight M-estimator, 双权M估计量
' S, s: i6 G1 x% T5 }7 [Block, 区组/配伍组8 u! O* ^5 B! ^0 N2 ^9 I
BMDP(Biomedical computer programs), BMDP统计软件包
# X) h9 o; E! r4 F5 uBoxplots, 箱线图/箱尾图; C* V% g4 k7 i
Breakdown bound, 崩溃界/崩溃点) c. L/ ]$ o2 b+ ~ n
Canonical correlation, 典型相关6 o& z) @! o4 h. J! G
Caption, 纵标目
' c. o, u8 P, jCase-control study, 病例对照研究
" o( M* Q3 x1 N- Z/ ~9 BCategorical variable, 分类变量
! b' c, G1 O" pCatenary, 悬链线$ s/ v! l. R1 o+ Q1 V( m
Cauchy distribution, 柯西分布. X' H) Q$ a- i F7 {
Cause-and-effect relationship, 因果关系
4 A0 m% N1 u# K7 xCell, 单元
) V8 W9 T F( N4 T3 ^* ACensoring, 终检
% O4 h- z! b& y/ rCenter of symmetry, 对称中心
$ d% w8 Z+ L! i$ I; xCentering and scaling, 中心化和定标
- @# \, S; w$ U0 D+ S# gCentral tendency, 集中趋势$ @2 `5 ~; ]7 S; @/ K8 z- d
Central value, 中心值6 L, w, T7 h9 e+ d7 H4 z, F2 L
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测3 v! k: F: W4 U9 b
Chance, 机遇
/ @; r: [/ s4 d4 _6 i t: SChance error, 随机误差7 B. Y. q2 c; e$ [8 n9 [' c
Chance variable, 随机变量0 V0 d/ U3 b: r4 Q, \0 H1 B6 }5 z+ V# }
Characteristic equation, 特征方程0 \3 n+ _% `. d) z, _' s: q
Characteristic root, 特征根
7 H2 H+ r: T5 E0 j y8 g y {Characteristic vector, 特征向量# d" J' g( q) R; D. ]# h
Chebshev criterion of fit, 拟合的切比雪夫准则: |' D: e. f4 E. m( ]& S
Chernoff faces, 切尔诺夫脸谱图
8 C; Q* M) Y9 n. \: h k% ]8 B* wChi-square test, 卡方检验/χ2检验
& J/ }4 _; q |' FCholeskey decomposition, 乔洛斯基分解
+ I8 {. z. U' E8 U6 JCircle chart, 圆图
) |: E) \' O' ^' L+ F: r9 p1 k) OClass interval, 组距4 N& ~8 _2 Z& P$ M" H
Class mid-value, 组中值" F% e1 b" |9 @" H" c& Z
Class upper limit, 组上限) c( L7 \! ? h- X( B Q
Classified variable, 分类变量% U5 [# Y' p) @
Cluster analysis, 聚类分析7 I; C' s# m8 t6 g+ o& c# H
Cluster sampling, 整群抽样
! M# Y, M: O4 SCode, 代码- M" ]+ i& T! `% {5 C4 o- m
Coded data, 编码数据
4 ~9 I, j* ^0 u; j# a7 oCoding, 编码
' V" q- m: u/ A4 ~6 {Coefficient of contingency, 列联系数1 e4 ? J: A; L) g. M# E
Coefficient of determination, 决定系数
1 t! C( b& z3 f* n4 J( n, c% D: dCoefficient of multiple correlation, 多重相关系数 i7 ~. g- K9 t' K$ I+ ^) d
Coefficient of partial correlation, 偏相关系数/ h C6 @) }; c: Q3 \
Coefficient of production-moment correlation, 积差相关系数
: i5 X4 L( M2 nCoefficient of rank correlation, 等级相关系数
7 T5 w( y0 ]6 p; V! DCoefficient of regression, 回归系数0 u( D/ f! P# P) x7 U# ?
Coefficient of skewness, 偏度系数
3 b9 G+ j* ~$ |& _- r" TCoefficient of variation, 变异系数 R. g' H3 n7 W
Cohort study, 队列研究& K5 L1 e# P, H4 r2 d$ q
Column, 列7 @% ~+ p3 N& b" g* ]
Column effect, 列效应
7 q, C: h; ?5 K. `( f) PColumn factor, 列因素3 A5 ?" L q9 s& N Q6 D8 b9 q, f* p
Combination pool, 合并
A+ o1 n# l/ {" z& lCombinative table, 组合表
" O$ r! A, ]0 u! L" G& E0 [' mCommon factor, 共性因子9 ?! X- \) w u! A, c! w
Common regression coefficient, 公共回归系数0 w D- p/ R) O# P8 E
Common value, 共同值
! p2 @2 t3 F3 B" ?! `& J. r( c- uCommon variance, 公共方差
/ u8 D4 m7 \: A6 r, w4 Y' ?6 OCommon variation, 公共变异
" z& w6 Z+ g5 ACommunality variance, 共性方差
0 m: Q3 w) t! T/ ?6 A9 F8 HComparability, 可比性" P3 O2 [# y7 t! j3 B! d
Comparison of bathes, 批比较$ p/ C; U! i$ Q. b. q8 j% w% ^
Comparison value, 比较值% ~; y& |( A. } Q8 I9 }
Compartment model, 分部模型' R6 M0 i y/ Z# |, Z/ O: n1 z1 |
Compassion, 伸缩* R4 V- n6 }' N; H
Complement of an event, 补事件
! l! h1 x; n& \ KComplete association, 完全正相关 N- P8 l, ]- [# H8 ^7 @, g' q7 ]
Complete dissociation, 完全不相关1 ?8 d2 O$ h$ `; D) z! H
Complete statistics, 完备统计量
4 _# X; B7 `$ K* ]/ l+ ACompletely randomized design, 完全随机化设计0 b+ f( r" f( ^
Composite event, 联合事件
1 v% K, z" R) e9 O( NComposite events, 复合事件# @7 _7 L- ]1 v0 ?# f3 w
Concavity, 凹性
?' n& W% B. [: A' R, s0 |! m* kConditional expectation, 条件期望4 n) J) u. _9 O; ]0 y& {% B' Q
Conditional likelihood, 条件似然* L# j# p% R- K7 k7 w+ l3 K
Conditional probability, 条件概率
6 Q# A+ C5 a, jConditionally linear, 依条件线性
6 ?2 d2 |# h/ |3 c* ZConfidence interval, 置信区间
6 R; r6 H+ h* nConfidence limit, 置信限, G. E$ U i/ @
Confidence lower limit, 置信下限6 M4 r5 Y# a4 [. C0 [% t; q
Confidence upper limit, 置信上限
/ q7 ]5 P- i; f1 d& a, R( ^1 \Confirmatory Factor Analysis , 验证性因子分析
1 V( c8 [+ C, T: b: x# vConfirmatory research, 证实性实验研究9 O& f. q0 p& V
Confounding factor, 混杂因素5 n5 _' f7 E' N5 k# u6 Y. Q+ o
Conjoint, 联合分析1 v4 C0 G5 _+ [% o, z: V
Consistency, 相合性7 |, i/ P! P7 W! \* F
Consistency check, 一致性检验0 i/ `8 x5 Q7 U+ N* o( J; u+ S
Consistent asymptotically normal estimate, 相合渐近正态估计, T6 \9 d3 c9 Q. m. g* f" w/ Y8 j
Consistent estimate, 相合估计
4 H' X8 y, o, j) `, r. t, cConstrained nonlinear regression, 受约束非线性回归2 A; X Q6 L) [/ G& v
Constraint, 约束
0 h0 ?$ w& K& v9 D( A' {Contaminated distribution, 污染分布: q4 t* }2 s# S8 `6 F; s. ^
Contaminated Gausssian, 污染高斯分布% u5 a4 O' a9 ]+ n
Contaminated normal distribution, 污染正态分布( C8 w% g2 T6 M1 ^4 _/ ~! H U% }; v
Contamination, 污染, e9 \/ l; O% K/ F
Contamination model, 污染模型. g! H! _2 V* }+ R5 s; T
Contingency table, 列联表7 J6 I1 Y" ?* H
Contour, 边界线2 N. a0 o7 f; x, j+ B
Contribution rate, 贡献率% q# E9 e! N/ ~8 L
Control, 对照
% h: g* J% P* F0 y7 h! L; _Controlled experiments, 对照实验( t6 }9 O2 t7 B8 x2 y
Conventional depth, 常规深度# M& g. o5 `2 A- M9 j; R) [* u( e
Convolution, 卷积
& Y( L" F; E0 J6 X* z8 mCorrected factor, 校正因子
+ p( e) X' f$ V" i6 ^Corrected mean, 校正均值8 }$ a5 c5 N( L3 ?" a. l
Correction coefficient, 校正系数; g, N- y1 y( t
Correctness, 正确性
3 D9 Z' Y2 {, K r% m2 l7 oCorrelation coefficient, 相关系数, [2 j3 p" n2 h3 U8 s+ D
Correlation index, 相关指数
" J$ A, b$ m# P7 y- @$ T$ rCorrespondence, 对应9 I' A5 ]# ^5 U7 X7 w
Counting, 计数5 N, s3 x5 g0 i( p: n0 H& x
Counts, 计数/频数8 x5 l4 H* F; Z. S# d
Covariance, 协方差1 i& x E S* W
Covariant, 共变 ! O3 e: [9 \2 I. _
Cox Regression, Cox回归
: O. H$ p7 c* G0 s3 [$ |Criteria for fitting, 拟合准则/ }7 U# B i; z8 A
Criteria of least squares, 最小二乘准则# B- ^# ?- v* G2 A8 Z. D
Critical ratio, 临界比
8 n4 j5 j+ t+ R. W# j: t6 qCritical region, 拒绝域
. E) k9 u& v: E) U! @. ^Critical value, 临界值
% o5 P1 [, Y9 ~$ B6 c* A' KCross-over design, 交叉设计0 S) j% ~! d9 t
Cross-section analysis, 横断面分析
" @; w- \1 g! h0 w: Q; MCross-section survey, 横断面调查; [1 D# f& L- @" a% ]4 t& u$ V* X0 ]- N
Crosstabs , 交叉表
% z5 x8 @0 ?9 }3 E# H' v- K( J$ g' UCross-tabulation table, 复合表' W5 D* Z' o5 t1 M% |
Cube root, 立方根
/ P+ j8 O ~6 I* C: _, }3 NCumulative distribution function, 分布函数1 r5 F/ m2 `' _. w: m0 E' |8 W" A
Cumulative probability, 累计概率 l: Z( Q' b5 c2 V; Q) d' a
Curvature, 曲率/弯曲
) c3 j: Y) ^0 O3 Q9 a* }Curvature, 曲率
" G% |/ r! N; m; G' [Curve fit , 曲线拟和 0 E( \! ~$ x/ F# I% s
Curve fitting, 曲线拟合- w& i0 I7 E) |" W& l
Curvilinear regression, 曲线回归5 R0 X' b. G' _/ a
Curvilinear relation, 曲线关系) B! q- b8 r6 {7 D, I; D! r; u
Cut-and-try method, 尝试法
' j! N3 A0 y9 s$ M8 s/ kCycle, 周期 r) Y* h$ |+ y6 @$ M: z+ T
Cyclist, 周期性9 O* U* Y3 [0 E/ z3 _6 y% ~
D test, D检验7 ]" D* ^$ a0 t$ i" R
Data acquisition, 资料收集4 ^+ Z3 Q( }9 A% T* ^( x- D
Data bank, 数据库
/ M. C( u' {& V5 X9 w$ \/ N" NData capacity, 数据容量- e* @+ a" s* z/ ]! n
Data deficiencies, 数据缺乏- y5 ]7 ^' G! u7 q' l1 r, g* n' }
Data handling, 数据处理8 P* T( K5 g- O( m+ O
Data manipulation, 数据处理, X, ?' V( M2 N3 x- A' p7 n }9 x
Data processing, 数据处理( R, J) _& P' r v
Data reduction, 数据缩减
8 V0 R1 G0 b& R! qData set, 数据集
9 Q4 A8 H! e' n9 i! t5 QData sources, 数据来源, u, _. u9 K/ D: U9 m
Data transformation, 数据变换
+ F0 j7 ~1 j/ W2 {7 v6 [- i" `8 SData validity, 数据有效性
1 ^1 q& k1 K: ~$ W M1 gData-in, 数据输入
4 N' t( m+ I9 H- xData-out, 数据输出" x, G: j# x: D- Z
Dead time, 停滞期
, c+ h7 b, }; Y- ?Degree of freedom, 自由度6 G2 G( ^6 Y* o4 h& i6 V
Degree of precision, 精密度
) K" P- x8 H1 k0 E4 `, ^$ a+ W' T9 u5 FDegree of reliability, 可靠性程度/ l9 h% s2 Y" F. C$ h0 |. d) A
Degression, 递减7 Q) T3 V! P; {3 @% r" W' r
Density function, 密度函数0 ~& h, a* ]8 A+ `
Density of data points, 数据点的密度
6 B1 Z% c% g3 B9 L+ l0 s( H$ dDependent variable, 应变量/依变量/因变量
1 E6 h" q+ a3 V" V* P7 t: yDependent variable, 因变量 J( F/ X' b6 J! k1 Y7 V7 M* ^- Y( j
Depth, 深度6 k; I _$ s9 L' m# D/ O9 _
Derivative matrix, 导数矩阵
d7 C5 `3 a8 M s$ s% dDerivative-free methods, 无导数方法, z" B# ^6 A& i1 K7 a1 B
Design, 设计. k6 Q7 v4 M2 O; A7 ~3 s, t
Determinacy, 确定性( y/ `0 r+ R/ d5 v% d. K" b
Determinant, 行列式
6 s5 Q# F- ]# A }Determinant, 决定因素
2 p) V) W' ^+ ?% uDeviation, 离差
& V# a( i6 y& Y5 m0 o/ [5 bDeviation from average, 离均差
& L- p9 {/ [8 H( dDiagnostic plot, 诊断图
1 i& l9 t; [# j5 zDichotomous variable, 二分变量0 s7 q# @2 L, l5 \* P5 j$ N, Y* {
Differential equation, 微分方程# C; e# a0 h: p b, Y7 `
Direct standardization, 直接标准化法; a& U! N- H8 Z6 ?4 L& y! D
Discrete variable, 离散型变量
3 C# K5 p" B$ @, }+ g) f* JDISCRIMINANT, 判断 , M) |; ^9 @' G- h
Discriminant analysis, 判别分析
9 Z. j, A: r1 B4 J2 Y. {8 m PDiscriminant coefficient, 判别系数. O$ d. |$ C1 Y0 I2 N
Discriminant function, 判别值3 E3 f& _9 ~- t8 K
Dispersion, 散布/分散度+ E! {- o- `5 m4 ^$ u
Disproportional, 不成比例的
+ g5 T0 C( a, T) V: ADisproportionate sub-class numbers, 不成比例次级组含量: z2 V# |" p& w/ Z* t- O
Distribution free, 分布无关性/免分布. n2 o9 ?6 ^! T9 {% T2 P3 I
Distribution shape, 分布形状7 S6 [4 b" D* _1 v/ n" E8 u
Distribution-free method, 任意分布法5 U( w$ o! ?1 f! e) v" t) S! p8 H) G
Distributive laws, 分配律# K m/ t- p0 f
Disturbance, 随机扰动项
6 ]) \1 y) M: K, d! EDose response curve, 剂量反应曲线
9 l/ a' Y1 A9 E% U3 ?# a, HDouble blind method, 双盲法
2 ~: S$ r% [& N% |3 v" hDouble blind trial, 双盲试验" s# L' r+ t5 M
Double exponential distribution, 双指数分布
4 ]) c9 j2 F" f% s K7 ^+ GDouble logarithmic, 双对数! G" w3 l: u# c# _" z, g3 s
Downward rank, 降秩
: N( j9 a6 g- d/ I' iDual-space plot, 对偶空间图; K+ s; D% S4 z' Z/ `/ b! g- H5 `% u
DUD, 无导数方法1 B9 H* F* z, J& z1 k0 ^, a7 J3 D; r
Duncan's new multiple range method, 新复极差法/Duncan新法' W0 K: P1 q4 s- f V7 R
Effect, 实验效应
) m3 A) |3 _0 ^/ _! ZEigenvalue, 特征值' |$ Y# }) D* x, c. Y2 E' i
Eigenvector, 特征向量2 f( X; G6 ?- Y! f. w
Ellipse, 椭圆6 v8 }5 X! O* {: Z, [( c
Empirical distribution, 经验分布8 s% |+ h% S3 y* e' X$ @3 b
Empirical probability, 经验概率单位9 S7 W% G& r5 |' f4 B' ?
Enumeration data, 计数资料 C9 o y5 g6 W! v& ]
Equal sun-class number, 相等次级组含量
. E! Q0 Y3 U2 K6 f6 W+ EEqually likely, 等可能' l" e( b3 D3 F1 L7 m! q4 E
Equivariance, 同变性
$ `$ I# b4 G4 N$ a% \5 G1 }* E2 y, RError, 误差/错误
1 h+ h8 q1 Q8 M0 }6 P1 YError of estimate, 估计误差. g5 o+ F! d; ^; ^; ?9 D
Error type I, 第一类错误
+ K# m2 Z! \, N |Error type II, 第二类错误
5 a' \0 y% [& u2 pEstimand, 被估量7 w7 @2 ~5 A \9 x
Estimated error mean squares, 估计误差均方
! [0 `; v% {- q" s+ y. ?! fEstimated error sum of squares, 估计误差平方和
0 \% Y& y9 |2 V: Y! R( QEuclidean distance, 欧式距离, `+ a$ U/ F4 g/ Q' M" H$ v
Event, 事件( |; p+ M$ B1 \& A5 z
Event, 事件# w8 W7 E, g" c2 A9 t2 I
Exceptional data point, 异常数据点
% k% I* F! T. ^) i/ Q3 t$ wExpectation plane, 期望平面
[% O6 F7 f/ d$ [+ K/ g" ^Expectation surface, 期望曲面
- ?8 C) l& S* HExpected values, 期望值
4 H5 r9 N4 t) |" mExperiment, 实验( L' y4 ~/ a: R9 H6 n! G1 Q
Experimental sampling, 试验抽样
* G: J; }$ F3 n. p* Z3 c" u1 e7 PExperimental unit, 试验单位
, ~/ O5 y5 u! U1 k4 @5 zExplanatory variable, 说明变量
$ x' t% H) b, p# C4 {; |Exploratory data analysis, 探索性数据分析 r" _* H" y! ~' h8 y2 ]
Explore Summarize, 探索-摘要/ Z$ \' D) r5 V: Y) C* Q
Exponential curve, 指数曲线5 o* Z, M3 I5 r: S, t; {9 g7 ?
Exponential growth, 指数式增长: n6 p9 o0 c3 h$ f
EXSMOOTH, 指数平滑方法
- @- M9 K1 m' a0 r; kExtended fit, 扩充拟合
5 i! @: N m( H6 f+ S7 jExtra parameter, 附加参数$ r+ g+ s) V+ N! Z2 u. ?
Extrapolation, 外推法
+ Z! ?! _ F2 K- G% cExtreme observation, 末端观测值
u" y- o& u" a, WExtremes, 极端值/极值
' \# p( n; H8 {, P, \) I! i* z- r. v5 RF distribution, F分布
, U$ ~) g& R3 ^. t- D/ JF test, F检验
. g5 _' _/ F: S* |& ?Factor, 因素/因子
& x5 y8 L2 Y4 b }Factor analysis, 因子分析
5 ?4 c4 k, R1 r# y# _8 iFactor Analysis, 因子分析
1 e7 z. T5 B; w) o% OFactor score, 因子得分
?" ?( {: n: q# F9 zFactorial, 阶乘, c3 _2 m# g% h, F
Factorial design, 析因试验设计. Z2 ^% ` c* f+ Y
False negative, 假阴性
3 B' s# V& i" @4 n: ] `; s tFalse negative error, 假阴性错误
4 n3 ]9 c* g1 _8 e% pFamily of distributions, 分布族* n! S9 v3 b E: p! l
Family of estimators, 估计量族
% t% C) X8 {! Y; R3 s2 q+ B' b8 Y/ _Fanning, 扇面+ ]- A$ u* ^& a! N4 m: N
Fatality rate, 病死率% O7 V$ {/ U; i- d) _& y9 P/ w
Field investigation, 现场调查
8 E' _3 N, z8 L/ EField survey, 现场调查/ [: [& j. ?$ _
Finite population, 有限总体0 l: I7 N; r# x
Finite-sample, 有限样本
0 c( a6 L B }First derivative, 一阶导数
6 i. x' H- \* S2 ]+ j' lFirst principal component, 第一主成分4 y( H2 x6 @' B4 U
First quartile, 第一四分位数5 u i) n( Y! ?/ |/ A
Fisher information, 费雪信息量
2 H8 f. L) D( V6 |Fitted value, 拟合值
% G6 T0 x( j6 `& N! AFitting a curve, 曲线拟合
; O, Q7 `9 Z8 u8 [) m$ ^# gFixed base, 定基" W( Z/ A7 b) p& s
Fluctuation, 随机起伏! v5 r; B( j5 @) x! B: M
Forecast, 预测' A( m* k/ Y# d4 \, n
Four fold table, 四格表8 u" Z- @' E' d: [/ L- D1 U$ C
Fourth, 四分点
" L7 \- d6 b# D4 dFraction blow, 左侧比率1 U4 V0 b2 E) }5 H" U E
Fractional error, 相对误差2 K% Z; [; x( u/ Q2 L+ `
Frequency, 频率
0 Q/ r! w9 k$ q9 u( J1 [Frequency polygon, 频数多边图
- ]2 n. N: R( M" h: D6 RFrontier point, 界限点
% C0 e4 `5 s6 Z) O- N7 dFunction relationship, 泛函关系; F# Q* a- |- L9 ?
Gamma distribution, 伽玛分布+ f& m# l' X8 Q& O9 S) l+ C; d) r9 i
Gauss increment, 高斯增量
# |( p1 e. z$ UGaussian distribution, 高斯分布/正态分布' Y* j. R$ b! A2 z
Gauss-Newton increment, 高斯-牛顿增量6 d5 Q' ^5 G5 o6 ?
General census, 全面普查
1 o7 N A9 V4 m( U* K4 ?9 [GENLOG (Generalized liner models), 广义线性模型
& H% y2 ^, Q4 k; r/ CGeometric mean, 几何平均数+ k6 U* {/ t0 D) d1 M2 y: c
Gini's mean difference, 基尼均差& N/ P" B# r: d7 S9 T$ E
GLM (General liner models), 一般线性模型
. q' ^( }, E; O8 I' a& z# S; JGoodness of fit, 拟和优度/配合度
* X$ _; }. l! U3 [5 I/ pGradient of determinant, 行列式的梯度" b+ e0 A8 o: ~6 Y
Graeco-Latin square, 希腊拉丁方
: a& C+ K2 `# Z: TGrand mean, 总均值3 w/ x4 L8 t( ^9 ?6 g; c8 J
Gross errors, 重大错误
1 W0 p8 h7 W5 b7 h" R. I! VGross-error sensitivity, 大错敏感度$ s8 {5 J- A$ ~9 U; S Y3 U
Group averages, 分组平均) V: B& V1 M! v$ O( A+ v$ M) t
Grouped data, 分组资料
* h$ n- w0 q1 W) j8 BGuessed mean, 假定平均数 R7 W3 b4 o$ a/ |$ V1 V
Half-life, 半衰期' p5 t+ s9 P& h. I
Hampel M-estimators, 汉佩尔M估计量; }* w& [: m- o0 O4 h
Happenstance, 偶然事件' e& V; A) D x* ^
Harmonic mean, 调和均数
: B3 N9 R6 B* S0 ?( L+ MHazard function, 风险均数
1 O& x( P/ |: ?$ j7 k! l. eHazard rate, 风险率$ N5 w% u, F1 Q& k/ ?/ B
Heading, 标目 5 K0 p5 s) R) M. k: w
Heavy-tailed distribution, 重尾分布
( W9 D9 Y8 S1 ^. a/ [3 }4 gHessian array, 海森立体阵
5 x W: L! O# }7 V5 n* p6 DHeterogeneity, 不同质
0 G6 S, g( K% S) a$ V) }, OHeterogeneity of variance, 方差不齐
/ p/ x2 _4 M- |% h- Z4 H P4 Z# KHierarchical classification, 组内分组1 g1 v6 Z- R9 s ^( S1 E, ~1 w7 W% C& C
Hierarchical clustering method, 系统聚类法7 X4 u, r- Z9 `# l& b. C; W5 \
High-leverage point, 高杠杆率点
2 ]/ r; h. Z3 L5 gHILOGLINEAR, 多维列联表的层次对数线性模型
4 d9 |: n; N0 _! L; GHinge, 折叶点
* F5 K! m2 N. DHistogram, 直方图
% L! P! ?' B$ r, C: ?# X7 R3 ~Historical cohort study, 历史性队列研究 - j5 y7 g7 A9 Y; J! }/ C: K
Holes, 空洞
& ^7 @8 p# @" BHOMALS, 多重响应分析% G# ` d9 S2 d! ^% B: I5 Y9 v1 x
Homogeneity of variance, 方差齐性6 H- D9 [+ r" X* E9 k# i4 a7 P7 J
Homogeneity test, 齐性检验
! i% K, v& B6 p6 [! sHuber M-estimators, 休伯M估计量% n8 d; B# |. @$ m1 v
Hyperbola, 双曲线
% ^2 {8 R4 a& zHypothesis testing, 假设检验
3 O" K5 |# I) E0 q2 bHypothetical universe, 假设总体* L% n* y8 ?( }8 r) Q8 Q
Impossible event, 不可能事件: r( e# H' T0 b: n7 a! ?1 o: L+ \0 F
Independence, 独立性
' t5 F+ v" {' `Independent variable, 自变量
! R( L; ?' Z& S/ x7 \- X. }Index, 指标/指数
9 o: R5 w; l |2 gIndirect standardization, 间接标准化法' c. ]" U7 Z7 A9 P! `4 o" h
Individual, 个体
9 g; g1 I) i' C3 G, `/ e- X& [% KInference band, 推断带
1 m* o9 d; {/ }: N! o. p5 dInfinite population, 无限总体
# P5 ?$ r5 z$ g3 KInfinitely great, 无穷大2 H% X0 [ h' v. W
Infinitely small, 无穷小
A1 d- f, I# D I6 TInfluence curve, 影响曲线
3 H, e% j9 a9 L) z+ [& L* MInformation capacity, 信息容量
) Q. t9 s' w1 @+ J% z |Initial condition, 初始条件5 Y1 }6 @' f7 {0 x z
Initial estimate, 初始估计值' M' \$ c9 u% d, _# ~0 w. _
Initial level, 最初水平
1 w+ j- I% ~- Z# s( s4 F* W ~Interaction, 交互作用0 x9 v8 C0 z5 x% I; `
Interaction terms, 交互作用项
) m* g! u7 I( v4 o' gIntercept, 截距
; g3 S+ B( @8 U) N5 F0 ~9 mInterpolation, 内插法. v: N& }! x& L; ~
Interquartile range, 四分位距$ v* R. m6 R8 _6 Z
Interval estimation, 区间估计9 a o# o' A5 P; F# j
Intervals of equal probability, 等概率区间7 a ^* _/ c& P. G) F7 h
Intrinsic curvature, 固有曲率 z: W9 K/ d8 E6 j1 R/ W$ g
Invariance, 不变性8 I7 B7 H6 }) Y/ ], R+ E! V
Inverse matrix, 逆矩阵/ K( [# _0 }, @6 M+ f& D
Inverse probability, 逆概率" V6 j8 p9 `7 |7 R
Inverse sine transformation, 反正弦变换
0 l- c8 v8 r& x% a# B7 _# l9 zIteration, 迭代 & U4 ]% q# C3 ]0 ?) [4 {
Jacobian determinant, 雅可比行列式2 r+ O1 U5 u1 y) N- i1 ?
Joint distribution function, 分布函数' s& }4 N* o2 X! ]1 {, a$ D+ W
Joint probability, 联合概率" N3 E; \2 S& }6 [. f3 V6 L2 j
Joint probability distribution, 联合概率分布
9 v; y3 s, Z( j" E& E. _K means method, 逐步聚类法
# z$ A% |: S# e" YKaplan-Meier, 评估事件的时间长度 ) v9 G- ]: O; _1 V( [
Kaplan-Merier chart, Kaplan-Merier图4 s9 T7 n, L! @3 O4 _
Kendall's rank correlation, Kendall等级相关+ {" Z- A5 k* e5 @
Kinetic, 动力学
! [. ?4 B4 M) GKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
; D) _2 y- K% L. ^: Z' l$ Z. VKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
0 n# d2 ~2 Y q1 Z/ M$ g. fKurtosis, 峰度
6 l! D H, e# e+ b% Q, k5 yLack of fit, 失拟
1 s/ Z+ p( E' n& G- ~, `7 F/ ]Ladder of powers, 幂阶梯$ \. W# e O- F& Y2 m
Lag, 滞后+ ]9 b) e4 N- I+ U3 [
Large sample, 大样本
0 N, D. Q" a% @8 {5 jLarge sample test, 大样本检验
- }$ a9 m1 z. W* b' @. TLatin square, 拉丁方
, u* G f6 _8 t/ kLatin square design, 拉丁方设计6 l# F+ a/ V& p; T% m$ H. A
Leakage, 泄漏 e8 z3 ?' `. X& E7 C5 h. A
Least favorable configuration, 最不利构形' O0 b/ w: Q5 d$ q8 N X
Least favorable distribution, 最不利分布9 g% _, H1 T4 t# N# ?4 | |
Least significant difference, 最小显著差法/ z: u; Y$ s( R* e3 s: ~3 z
Least square method, 最小二乘法
# I& \7 K. N" ~+ H; tLeast-absolute-residuals estimates, 最小绝对残差估计% D8 s) i3 s% N1 h' v/ D+ |3 W) \" M
Least-absolute-residuals fit, 最小绝对残差拟合! R9 `, B* v" ?7 i! u" N5 y
Least-absolute-residuals line, 最小绝对残差线
3 D4 P7 x$ s. D0 t* OLegend, 图例# y2 x1 V' b. u7 o# ~. f5 u
L-estimator, L估计量9 {% A( P7 T2 A, i
L-estimator of location, 位置L估计量
2 q5 r% l. ?8 c, e) _! Y2 OL-estimator of scale, 尺度L估计量* u4 @- o- [' D) ]* @0 t3 q6 p
Level, 水平
; t" y/ j7 i( I/ E! rLife expectance, 预期期望寿命
8 @5 V. N; i' L* H4 f" xLife table, 寿命表
! ~; C+ i& i2 U" K dLife table method, 生命表法
; n5 T) p0 r4 z% O# C7 V* g( SLight-tailed distribution, 轻尾分布7 c6 f; W) {" X% ]7 \: s, W
Likelihood function, 似然函数, Y! h& f( {0 ^
Likelihood ratio, 似然比
3 o" o' m0 y9 d( ~0 O5 E3 E7 y. Yline graph, 线图4 [9 p, i& o/ o* m: g( T( }3 ]
Linear correlation, 直线相关0 E& |* b; w: Z/ M: A$ T7 A+ j
Linear equation, 线性方程
" ] z3 t, U" `0 n4 }Linear programming, 线性规划8 ^+ L& Q9 k, d- A
Linear regression, 直线回归
4 J2 b! d3 G! uLinear Regression, 线性回归
+ w: L6 m( h0 H- z; ^+ M6 qLinear trend, 线性趋势
' |6 _2 g" @0 l' u. i* iLoading, 载荷
% M3 Z* F; x, \( P8 \Location and scale equivariance, 位置尺度同变性
. Z" D' M; p) t7 PLocation equivariance, 位置同变性
( ~, s8 G2 {) U3 X$ ILocation invariance, 位置不变性
1 v/ V4 Z6 a; kLocation scale family, 位置尺度族
. u# q2 ^3 q$ g& fLog rank test, 时序检验 9 Y: D3 Z1 z/ e; P
Logarithmic curve, 对数曲线# T9 w. q& @% u5 ~4 f7 S
Logarithmic normal distribution, 对数正态分布
& K! m9 X# D2 B' G% mLogarithmic scale, 对数尺度9 O5 M$ q" F# e% w8 e/ x4 E3 }1 U3 ]
Logarithmic transformation, 对数变换
# \% ?8 ~( ~/ q8 q+ S5 LLogic check, 逻辑检查! g# v4 U8 X' r0 Z
Logistic distribution, 逻辑斯特分布
3 g# a9 A% B. fLogit transformation, Logit转换1 {" V6 l0 h/ b% x7 v- w4 p7 o
LOGLINEAR, 多维列联表通用模型
/ u- N8 q! E. C$ H! ?! w% d) jLognormal distribution, 对数正态分布
/ A' ]6 c, w7 W1 Q) z cLost function, 损失函数
" ?6 E& f: w6 wLow correlation, 低度相关
! L' ^) u, ~% ~0 `5 q$ wLower limit, 下限9 h0 T0 f# r+ J" T
Lowest-attained variance, 最小可达方差
4 W; k) }3 B, a$ f" W6 I# jLSD, 最小显著差法的简称- `5 J- E8 X2 G2 J# {
Lurking variable, 潜在变量0 m' s1 U3 F2 i/ e0 E" p
Main effect, 主效应
5 w' O0 X \) x4 u/ KMajor heading, 主辞标目
, U0 x0 h, A$ [3 D8 ^4 I" lMarginal density function, 边缘密度函数
0 T* c# {! n! @; E# Y1 ZMarginal probability, 边缘概率6 g4 z7 L$ `3 ~& S
Marginal probability distribution, 边缘概率分布1 @: B" g2 G( ]2 N& i
Matched data, 配对资料0 v* A5 a" a H
Matched distribution, 匹配过分布
3 X* w+ T& U. ?, M8 D9 o fMatching of distribution, 分布的匹配5 _9 ^' \3 k+ B' I, B( O3 H! M8 z
Matching of transformation, 变换的匹配+ @# K+ @+ W" `, g5 D! f5 q
Mathematical expectation, 数学期望
1 z1 `1 P( O: z; B3 I% ~Mathematical model, 数学模型
' T# Q' [4 P- b% H" u) H- ZMaximum L-estimator, 极大极小L 估计量
* F+ z# g# F; zMaximum likelihood method, 最大似然法
7 G) V" |4 t& Q: c* U8 pMean, 均数
" Z# {$ [9 K: b; `/ E( \Mean squares between groups, 组间均方
2 x/ ^7 r6 @! {" f- m8 o, d3 OMean squares within group, 组内均方+ U. a- x$ U) J8 w: H" H/ O
Means (Compare means), 均值-均值比较
, b& W1 c J5 M! @Median, 中位数" i( s6 a. T5 E6 l/ h/ C ]
Median effective dose, 半数效量: I* C" V5 b0 F* n0 O
Median lethal dose, 半数致死量
: T+ @' z$ k. `Median polish, 中位数平滑/ u& b' t' K9 ?1 n6 t5 l+ q
Median test, 中位数检验
& G6 o& k2 [1 qMinimal sufficient statistic, 最小充分统计量5 D6 J# `9 m0 O3 Q
Minimum distance estimation, 最小距离估计4 ^7 H6 K* D4 A8 ^1 }
Minimum effective dose, 最小有效量# u" Y% G+ f! i7 }" q \
Minimum lethal dose, 最小致死量4 q5 {0 ]( b1 r9 ^' ]1 w, r
Minimum variance estimator, 最小方差估计量& C& B3 v: T) r7 _3 T% U7 u
MINITAB, 统计软件包4 Y4 U5 N r$ V
Minor heading, 宾词标目
+ a9 b: `/ C: |+ P/ \* m9 C6 o" ZMissing data, 缺失值7 ~: t1 B9 i7 ?* U
Model specification, 模型的确定1 B* c: F8 }% l: L: e& k/ @
Modeling Statistics , 模型统计
3 h4 \. k# [+ ]2 ^% @% [Models for outliers, 离群值模型0 j& f0 I3 |8 Y& \0 w6 }, z
Modifying the model, 模型的修正' Z, y" c/ Y" W
Modulus of continuity, 连续性模" Q' u3 y+ D; y% J
Morbidity, 发病率 * B, R: v, f8 l9 w- x
Most favorable configuration, 最有利构形" E# I) W$ n% r" z+ z% D* b& Y5 z4 N
Multidimensional Scaling (ASCAL), 多维尺度/多维标度# `+ w: N0 z1 W# L/ k
Multinomial Logistic Regression , 多项逻辑斯蒂回归$ A g& s( q8 V4 F$ E$ V
Multiple comparison, 多重比较; G+ M7 i, O3 S/ U: ?* E- Q5 w
Multiple correlation , 复相关' Y) z, {4 y- J! F8 o: h$ f6 Q
Multiple covariance, 多元协方差6 F. ~) w, K6 U* D3 @- ?, u
Multiple linear regression, 多元线性回归* H; S2 O5 F2 _3 W. h
Multiple response , 多重选项
1 w3 w+ t8 P% p1 DMultiple solutions, 多解& m. B! y& |1 J) @2 t; u
Multiplication theorem, 乘法定理
9 P6 l5 C: Q9 _/ B" Z1 kMultiresponse, 多元响应* e1 b% s8 F, v* P5 _0 U9 [- g
Multi-stage sampling, 多阶段抽样
+ E9 ^" ^, @2 K/ gMultivariate T distribution, 多元T分布
) U" z7 O$ r2 ?$ T" ^4 PMutual exclusive, 互不相容9 H1 \! c! Y* z7 [' Y
Mutual independence, 互相独立
. J. O$ t; a$ s7 I5 F" k0 g# YNatural boundary, 自然边界
" T0 m9 Y( E1 `% t; }1 @! [+ NNatural dead, 自然死亡
/ {8 }6 U1 ^7 j( K( T7 jNatural zero, 自然零7 _, [; i: W ]$ m1 h& t- J% c
Negative correlation, 负相关4 R) m# Y7 a+ M) u0 L
Negative linear correlation, 负线性相关9 h$ C5 a; |2 F- q9 u g8 k' u* ~
Negatively skewed, 负偏( r) i+ q D2 q3 _
Newman-Keuls method, q检验+ m7 o- W4 s, d9 y. q4 X) X
NK method, q检验
) T4 L$ A; n' l& E1 q9 YNo statistical significance, 无统计意义
5 K( r# g2 o) W6 j s/ j* n- wNominal variable, 名义变量, S' Q- J. Z# K3 I$ w% q3 l
Nonconstancy of variability, 变异的非定常性8 o H! P: r& W0 y( l
Nonlinear regression, 非线性相关
/ x7 D1 O, F* y0 S$ TNonparametric statistics, 非参数统计$ @2 i: A: }: Q' k. D6 r) }, \% I* X
Nonparametric test, 非参数检验
0 h5 J- b) S( ^+ y3 w& T+ \! A7 PNonparametric tests, 非参数检验
p( `3 B" b" @8 @Normal deviate, 正态离差
7 L4 F( w+ r: w& gNormal distribution, 正态分布" E0 _, V4 S" s* a- P
Normal equation, 正规方程组
, N7 F, R3 N" k2 }9 m! ]7 Y3 FNormal ranges, 正常范围
( R: ^& d6 X( W3 QNormal value, 正常值6 T9 A6 B& _/ ~: W; _8 l' p
Nuisance parameter, 多余参数/讨厌参数
( O: v' H) ~( O& J# WNull hypothesis, 无效假设 # C* K! I# }9 h- |* j2 c
Numerical variable, 数值变量" Z2 a" A* v2 `: B8 H
Objective function, 目标函数8 P+ B z' q, R' a; p$ Z7 }- ?
Observation unit, 观察单位
4 n+ O4 n! i/ D: f2 I, n* `Observed value, 观察值2 U2 i/ C$ ]% n8 K3 K+ j q- q
One sided test, 单侧检验
* K5 N. |" r; q1 OOne-way analysis of variance, 单因素方差分析- ]4 ]5 b+ E; D# m
Oneway ANOVA , 单因素方差分析; ?* A8 f/ D) d0 y# U7 C
Open sequential trial, 开放型序贯设计4 B' G/ M; a( J; w- w, O& }$ J
Optrim, 优切尾
/ y8 g) m, R! @. s6 KOptrim efficiency, 优切尾效率
. y) ~* ], C& NOrder statistics, 顺序统计量
% C# G4 N( V2 ^+ v+ |) J7 U7 FOrdered categories, 有序分类
# k3 a$ L$ Y1 l0 JOrdinal logistic regression , 序数逻辑斯蒂回归
* X; S+ M# w2 n( ]Ordinal variable, 有序变量
8 x7 W2 b! z: O; ?; A# Y0 tOrthogonal basis, 正交基1 o) w; Y' ]2 _" A7 }% m- w+ C
Orthogonal design, 正交试验设计/ R( |, T' U$ ?1 N. M! A
Orthogonality conditions, 正交条件0 s' M' a6 M/ J- h5 F. ~
ORTHOPLAN, 正交设计 6 a3 x! e( t' S: m s% n/ b
Outlier cutoffs, 离群值截断点; L# J) F! I0 _% L" V% k( n
Outliers, 极端值; H' F% k) j, j2 f
OVERALS , 多组变量的非线性正规相关 * |- ^0 y4 j- {0 |+ a% q
Overshoot, 迭代过度
/ q7 K9 X$ a7 V7 kPaired design, 配对设计1 h/ |0 z/ v# M$ G P
Paired sample, 配对样本
6 u0 \/ f: ?0 a$ S" m! r2 G2 ]Pairwise slopes, 成对斜率; H% l0 E' g9 [ d5 \
Parabola, 抛物线
9 [4 [1 T$ }0 ?2 q/ CParallel tests, 平行试验
. I+ u, \ q. I8 g1 K5 ^4 qParameter, 参数
3 D( S0 V6 [! j0 l* VParametric statistics, 参数统计
1 s$ I+ K# }8 Q, ]9 a% X6 xParametric test, 参数检验
3 i) C- B4 i2 Z/ ~- c. z! b$ T' IPartial correlation, 偏相关
9 u/ u2 s+ I7 F- q. B9 p7 Y7 z; [Partial regression, 偏回归
" Y# h4 e0 s3 {5 w! WPartial sorting, 偏排序
9 O" L; k. Z5 t: }$ `: ePartials residuals, 偏残差
/ T% I2 e7 H" ~6 E, T7 GPattern, 模式" x' X% Y$ @ L( J' b, J
Pearson curves, 皮尔逊曲线9 m3 V- Y4 O! n3 R W( s" R
Peeling, 退层
+ `/ _1 ~6 `% E1 t& S' pPercent bar graph, 百分条形图 N& n. W' ?) @- }( }5 Y
Percentage, 百分比
1 [% U- M, V7 {& _: N3 DPercentile, 百分位数( C) Q x$ M, i" }; Y5 \$ Z, t( }
Percentile curves, 百分位曲线) \% q0 n& A; {* u. I) n4 M' h9 _
Periodicity, 周期性% \& D2 d% \; ~
Permutation, 排列! v6 `/ `' C0 M: i; a+ O4 U' @
P-estimator, P估计量6 L* p0 @0 s" I# W& c1 G+ w* I
Pie graph, 饼图: [# Z+ [: ?, C2 ~$ e8 w3 Z3 K5 u
Pitman estimator, 皮特曼估计量( \: a5 V9 Z. H, b, r1 K+ N' }
Pivot, 枢轴量
; `6 s5 y4 i' M) _Planar, 平坦5 \; k: P6 w% a/ T
Planar assumption, 平面的假设7 Q0 f3 {- G' C1 _, |/ ]$ T2 c
PLANCARDS, 生成试验的计划卡
/ s7 N9 }" I3 S8 ~* B2 Z! R5 fPoint estimation, 点估计
4 s0 A# v( W* F% M1 O0 hPoisson distribution, 泊松分布
, `% b% R a, o; bPolishing, 平滑2 w2 y& l1 b! F4 L& q
Polled standard deviation, 合并标准差. |6 p6 Q: Z! \" z6 f3 o& x5 f
Polled variance, 合并方差5 b& }. m; d' S [ k
Polygon, 多边图$ _" L$ A* j; i9 x9 V7 F/ {' @
Polynomial, 多项式
0 o2 o. Q$ U8 e1 k4 ]4 z5 }Polynomial curve, 多项式曲线4 g; C8 i9 {2 Y) m7 B
Population, 总体
' V' T" f) S* L! ^$ b) cPopulation attributable risk, 人群归因危险度
2 C& ~. O2 O$ ]5 tPositive correlation, 正相关
' r! [& \! v" Z& v* ~Positively skewed, 正偏2 F" n0 H6 n$ |9 L% v
Posterior distribution, 后验分布
8 ~9 ~- \: d1 H0 SPower of a test, 检验效能
) u1 O: _: }. ^4 [Precision, 精密度/ `4 N& u W! c. O G2 y
Predicted value, 预测值. W' v- b7 A' R0 L6 ~ Y' o9 n
Preliminary analysis, 预备性分析
) \3 p/ f z7 Y' l7 _' ?/ o' {' sPrincipal component analysis, 主成分分析7 z" _ y4 p6 `* I+ s
Prior distribution, 先验分布
8 @% h, M7 A1 c; P8 b ?' `Prior probability, 先验概率" N' \. P7 {4 M. g
Probabilistic model, 概率模型
6 w' ?- }! @" n/ X% @probability, 概率5 V- ~; N, Q% z. D7 k S0 r
Probability density, 概率密度
. R! q8 O8 x( E; l# f# h* oProduct moment, 乘积矩/协方差
; Y9 Z4 ^2 v0 x$ E3 BProfile trace, 截面迹图
; {. M0 F9 v4 w7 {+ NProportion, 比/构成比8 l H |8 [, K$ F' t4 p6 ?
Proportion allocation in stratified random sampling, 按比例分层随机抽样8 I% j$ N" @ V! s1 P' ?6 n3 Y
Proportionate, 成比例
3 f8 `/ u) h( G2 H. oProportionate sub-class numbers, 成比例次级组含量6 k! T& H! g" m0 c3 y- W4 T+ P
Prospective study, 前瞻性调查0 O2 L U* k ?. L: Q: v- W
Proximities, 亲近性 0 v& z6 A% P. z) @6 H& }
Pseudo F test, 近似F检验* d' {' o* c# ?3 L
Pseudo model, 近似模型
0 X* m0 ~; p; Q DPseudosigma, 伪标准差
7 ] |8 y2 S7 ~4 V( y) O3 tPurposive sampling, 有目的抽样
/ y$ z" D+ |. x7 l6 z5 T! p$ S# gQR decomposition, QR分解7 e$ X2 |0 a. B+ I. u
Quadratic approximation, 二次近似6 I5 e9 e8 p* O p2 s! @
Qualitative classification, 属性分类
; {( ^+ H% z) {2 M& p5 k% d( I4 IQualitative method, 定性方法7 K- z+ c* P+ |+ o! o' f" T4 F0 q
Quantile-quantile plot, 分位数-分位数图/Q-Q图1 C. v+ p* ~7 L& B O6 ]$ W
Quantitative analysis, 定量分析+ i5 u. |' [) j& I/ \& {4 P! z
Quartile, 四分位数* m. q" Z/ H' h7 H/ l7 b0 c2 T
Quick Cluster, 快速聚类% `$ Q J5 V- h' Q) Q
Radix sort, 基数排序( r: A' [/ m, B
Random allocation, 随机化分组
, H6 {$ O o; f2 WRandom blocks design, 随机区组设计
8 Y6 H5 ^. [2 t6 l5 ~# U& M8 j8 ]Random event, 随机事件
- e0 h8 P! K5 R5 k3 c# nRandomization, 随机化
4 `( x% S; i! G+ ^8 F ]: l: JRange, 极差/全距
% A8 I9 N7 \, sRank correlation, 等级相关
0 N% W' k8 w( BRank sum test, 秩和检验
2 O) y& P9 k. X! LRank test, 秩检验& R% J: }% q: f, G
Ranked data, 等级资料. I8 _0 w% u% G4 F6 h4 f) K: j; e# d% d
Rate, 比率; \) m3 F/ p3 @0 V
Ratio, 比例
6 ^- Q' Z. G/ ~1 ^' r7 VRaw data, 原始资料, N4 C0 H; X: c" q- x5 E D
Raw residual, 原始残差
8 H$ x, D% p/ `Rayleigh's test, 雷氏检验0 U% a/ G! C3 A' Y% `2 O* p9 L
Rayleigh's Z, 雷氏Z值
# A2 F& _$ e% T9 K G3 ~1 {+ P. f. `Reciprocal, 倒数
/ A& `3 T* L5 e/ I) O& W4 GReciprocal transformation, 倒数变换
6 a* ]7 @! D: S* w7 PRecording, 记录
?4 I9 E5 I( D4 DRedescending estimators, 回降估计量
/ o: D8 \/ v7 h- E$ `Reducing dimensions, 降维2 U7 L. y, n' y/ y3 A: `
Re-expression, 重新表达2 {2 S$ p) r+ \$ p/ g+ o# m: g: A
Reference set, 标准组
5 {% V9 w8 k$ T% P9 ERegion of acceptance, 接受域
3 l; S$ f* @+ f: ?3 {2 _: xRegression coefficient, 回归系数
# y# L/ @/ N8 D% v/ c% _4 Z, G& HRegression sum of square, 回归平方和: N4 _* h6 s* S: l
Rejection point, 拒绝点$ H4 \! ~' ]8 u. k( h: I4 _: z/ `
Relative dispersion, 相对离散度
. ?. o" L0 w* O- { X8 g* }Relative number, 相对数
" M& J# T. `! C8 G; F {' PReliability, 可靠性
* w' U& _! B$ w# ~( {( ?8 H+ HReparametrization, 重新设置参数
- S, _9 ]+ l) k; J: j! D6 @/ o# WReplication, 重复
' x. J5 i& L2 G. vReport Summaries, 报告摘要+ r9 D9 H" O; l6 h- w- D
Residual sum of square, 剩余平方和
& @0 U* E: z% L3 Q. [Resistance, 耐抗性! F* Q/ r7 T/ T, s
Resistant line, 耐抗线/ }" N$ d! Y8 u9 U
Resistant technique, 耐抗技术1 I, V% {/ i% F$ `$ v5 ? `
R-estimator of location, 位置R估计量1 h9 L+ |0 Q! b l, { ]7 v7 F
R-estimator of scale, 尺度R估计量 d0 m6 w: M6 u( K5 c1 E
Retrospective study, 回顾性调查9 |( b7 c; h1 h9 x: A0 |* L
Ridge trace, 岭迹1 d: P! p: y- R) W8 p
Ridit analysis, Ridit分析/ c& {) ?1 A4 q, a* U$ c
Rotation, 旋转9 d; X) p0 n8 X& C: n! B7 ~) s7 i
Rounding, 舍入
3 O6 l$ a0 E9 [- r6 x4 SRow, 行 p1 D& E3 h& q/ e3 Q9 u' Y% b# v, v
Row effects, 行效应' K% C: P* ~7 L+ a% T# G
Row factor, 行因素0 H$ b) H8 H+ T1 ?0 J. Q
RXC table, RXC表
/ m# U) [5 f8 z! B. d1 U. ]Sample, 样本
! h- b+ p7 X, i& [- t- uSample regression coefficient, 样本回归系数9 \$ j N1 X& D0 n3 h
Sample size, 样本量
" R5 u3 B) a- U$ h5 DSample standard deviation, 样本标准差; b% @! k) b2 N6 p9 Q
Sampling error, 抽样误差
r ^) ]: a" a1 ~2 X% SSAS(Statistical analysis system ), SAS统计软件包
5 Z* P: D9 o! C2 I/ N! MScale, 尺度/量表( N9 j% I Z6 y# p* Q2 J/ d! \/ a7 v
Scatter diagram, 散点图
A/ D- L' h- s& c8 o+ w* p3 ^Schematic plot, 示意图/简图
3 s8 ?! U @5 w2 {8 h4 mScore test, 计分检验4 u# I, e2 Z2 R% O5 K% S
Screening, 筛检
; W3 B* X B$ z" }' t& `- Z0 rSEASON, 季节分析 7 e6 z1 L/ [+ `6 \8 M
Second derivative, 二阶导数
- V0 N$ Y$ ~ S8 c' ^Second principal component, 第二主成分 J; e! O8 D: Z; W" G4 C. w
SEM (Structural equation modeling), 结构化方程模型
9 ?$ X& V8 N w- z; tSemi-logarithmic graph, 半对数图) L8 E- ?) `8 j0 n2 ]: |, ?7 O, r6 D
Semi-logarithmic paper, 半对数格纸4 a; E: ~/ I, T& e. ~' d
Sensitivity curve, 敏感度曲线. ]+ J5 h& O7 `! V0 i- }
Sequential analysis, 贯序分析
" E( T7 ?2 A; j6 F, xSequential data set, 顺序数据集
2 y _7 |2 w }1 r k. }Sequential design, 贯序设计( d; }* r9 M% _% K( q
Sequential method, 贯序法
# R p0 y" Z3 U; y3 ^4 Y0 @Sequential test, 贯序检验法9 V, G, ~7 y) v2 L* [8 Z2 ^
Serial tests, 系列试验$ G2 |1 F( ]2 o$ D
Short-cut method, 简捷法
) `8 Z8 n+ X6 A. iSigmoid curve, S形曲线& ^' s) }1 L; M/ u& R" ]
Sign function, 正负号函数
t7 a h& W$ d) X( R- _* }Sign test, 符号检验$ {! N1 L7 h" N I; D, B
Signed rank, 符号秩
* a/ R6 W; n# Z& H6 kSignificance test, 显著性检验/ G2 b/ L: f4 }- K, w/ f6 A/ p
Significant figure, 有效数字1 U( K6 z4 X! V3 T/ H
Simple cluster sampling, 简单整群抽样
& i# d# ]' y% rSimple correlation, 简单相关
R: K! I! q/ v- A7 p; _" Z5 PSimple random sampling, 简单随机抽样
) A# e2 t: ]- [Simple regression, 简单回归( V6 G# o% g# [9 U$ V. I: ~0 k
simple table, 简单表& I% ?, M1 k7 x' n; K9 m
Sine estimator, 正弦估计量
w8 _) e! i, }7 ]. PSingle-valued estimate, 单值估计
! }! t8 ^" ?3 SSingular matrix, 奇异矩阵# v2 F: ?& V/ @% f4 m. \+ d- b) p6 b
Skewed distribution, 偏斜分布
8 [ [" M- J1 W* QSkewness, 偏度/ X" m3 b$ m0 y
Slash distribution, 斜线分布4 T- i( K Q9 c. m, z
Slope, 斜率
. R$ a6 D5 P: u9 N$ {Smirnov test, 斯米尔诺夫检验9 ]/ Z. V' \, h: V
Source of variation, 变异来源: y8 a E6 C) c; Q" l8 _
Spearman rank correlation, 斯皮尔曼等级相关
8 ^5 M+ U* y% a, v* ^# xSpecific factor, 特殊因子1 g; R S# a7 z0 q7 e1 T& s! j
Specific factor variance, 特殊因子方差2 R# E7 l2 ? ?! ~* r
Spectra , 频谱
1 n9 Y0 u# v! ?( xSpherical distribution, 球型正态分布
* u8 a' ~" s r! C ^6 dSpread, 展布6 k+ J' f6 ?# n0 B
SPSS(Statistical package for the social science), SPSS统计软件包
/ @+ F* l: C5 M$ Y' dSpurious correlation, 假性相关
0 V3 L/ U4 c: M/ e) s0 SSquare root transformation, 平方根变换
1 u+ o0 h9 v! EStabilizing variance, 稳定方差
( @* m1 b2 u1 v+ \$ SStandard deviation, 标准差 O2 [# O/ k; K7 F: q. e8 f( O" O
Standard error, 标准误
' ], W4 v4 d+ _- u$ G, S+ }Standard error of difference, 差别的标准误
# B6 v. M/ y; ^+ K9 ], tStandard error of estimate, 标准估计误差* |2 W) l$ V; Y
Standard error of rate, 率的标准误+ O. }/ r5 o( A1 l# C
Standard normal distribution, 标准正态分布
. h' ~3 M% H: Q" C$ K# zStandardization, 标准化9 F8 ]3 J# }. x. t
Starting value, 起始值7 Z; x$ E, J! L* d: G" e
Statistic, 统计量
4 K' M" z. D$ o0 ^6 K. v, ?Statistical control, 统计控制4 r5 u+ Z) T. B0 N
Statistical graph, 统计图 Z& Q* C$ X/ \
Statistical inference, 统计推断6 A. v, r, U+ V0 N: W
Statistical table, 统计表
. j+ A5 p8 [- XSteepest descent, 最速下降法
; }" f" j+ Z s9 \6 a2 v9 zStem and leaf display, 茎叶图
0 o& @; a4 Z; w! d$ W8 Q$ t+ ^! yStep factor, 步长因子
6 Z2 d* F8 J* c- |Stepwise regression, 逐步回归# m3 ?9 ?7 y+ f8 A
Storage, 存
+ B! R% H" t' ~. [' |( HStrata, 层（复数）
2 M, y# p% g& C: N1 CStratified sampling, 分层抽样+ ~7 Q, V7 \, B
Stratified sampling, 分层抽样
. D% O0 f0 |. DStrength, 强度/ X8 _; H* Q" c# Z
Stringency, 严密性. @8 n6 l: R" _7 T; o6 b
Structural relationship, 结构关系. Y/ F: t r3 ]3 S" U3 l
Studentized residual, 学生化残差/t化残差
7 H' u! S) F) ^Sub-class numbers, 次级组含量
9 f6 l! Y1 l; }% [Subdividing, 分割
5 a2 F! e# Q- B0 ^$ _Sufficient statistic, 充分统计量0 Q* \, s" d6 I6 k4 x
Sum of products, 积和
) {) C! f+ S$ t$ }9 u: \8 T7 @Sum of squares, 离差平方和
7 [) k" m, N p3 @# X7 ]! ESum of squares about regression, 回归平方和
& s/ D5 y3 F) y" g9 GSum of squares between groups, 组间平方和& T2 O& ]9 C/ t3 p
Sum of squares of partial regression, 偏回归平方和
8 x1 K+ d* r1 d/ s7 d' sSure event, 必然事件$ D" A2 D- D" T
Survey, 调查
1 o0 X+ B& B9 U3 i% m: A+ r9 NSurvival, 生存分析
6 g) P/ `- M$ s9 v5 }* \+ R( wSurvival rate, 生存率, E3 a% Y5 L) z/ J) E0 D7 Z2 F
Suspended root gram, 悬吊根图" X0 |9 c" t- f7 f( T% n
Symmetry, 对称
' e0 k5 \% J. `0 E4 w; H2 sSystematic error, 系统误差
/ a. i+ Q: _7 t+ y4 M& }Systematic sampling, 系统抽样" B9 l/ Q8 ~) y, a" `/ D
Tags, 标签5 g* q& c% I8 M: U! E6 z( ^
Tail area, 尾部面积
& n/ B9 l1 W/ I3 jTail length, 尾长
' _! o+ E5 O1 ` z" mTail weight, 尾重+ @$ G X2 K* u2 | Y' Z
Tangent line, 切线6 o/ X3 L4 o+ U7 G
Target distribution, 目标分布, u9 K8 B1 C9 W+ p% Q
Taylor series, 泰勒级数
* y3 U& W0 m: y+ O+ gTendency of dispersion, 离散趋势
! _3 t! ]' J; j$ t" r7 j6 KTesting of hypotheses, 假设检验
5 C" I7 E2 A8 u' G/ B4 N mTheoretical frequency, 理论频数
/ a: g- D& l( d4 r/ Z$ [. Z7 NTime series, 时间序列 o f: @( k% g( y" }+ E3 g9 {
Tolerance interval, 容忍区间$ |( p6 e6 y/ p2 |( P- u
Tolerance lower limit, 容忍下限0 w Y ?9 N G" ]' _& I
Tolerance upper limit, 容忍上限4 G# D/ K% I* d7 N
Torsion, 扰率
- g i: Q$ [7 q4 T7 Q) w) [# STotal sum of square, 总平方和
1 R( T$ v" O% f( {0 ~( U3 i6 W+ x" @Total variation, 总变异% |1 j2 O% t* {8 ^: H; c
Transformation, 转换8 Y, h9 j! Q9 U5 u0 a3 K, X$ z
Treatment, 处理
" `3 }; g, K( ]# Q5 F" v9 r; X& M& QTrend, 趋势! L, c1 A2 e' G
Trend of percentage, 百分比趋势
; O) G. }2 Y1 ~4 o) B3 KTrial, 试验# e9 w8 e& [3 n3 [2 y
Trial and error method, 试错法4 z# s* t( t' b: Z/ ]$ K
Tuning constant, 细调常数2 b b K- G5 ^* b" }! u/ `. J3 e
Two sided test, 双向检验
1 V+ b4 D g( FTwo-stage least squares, 二阶最小平方( X# U$ b' U4 Q. L( T
Two-stage sampling, 二阶段抽样2 i8 y! @* h6 |4 @$ f$ |
Two-tailed test, 双侧检验7 ]* j2 N: y$ B. d7 ?1 ~
Two-way analysis of variance, 双因素方差分析
7 n4 K! b1 Q* D6 \- NTwo-way table, 双向表
1 t1 E1 S% }( ~, C' ZType I error, 一类错误/α错误: A7 P* m5 G( ^! V
Type II error, 二类错误/β错误
& G6 l8 F: I+ o4 i: X8 n$ ?* cUMVU, 方差一致最小无偏估计简称8 R5 I! n8 c w) o" B
Unbiased estimate, 无偏估计
: Q, v+ R/ h/ z( {Unconstrained nonlinear regression , 无约束非线性回归
" h" }% l6 w' XUnequal subclass number, 不等次级组含量
! \- S6 a, d: `" f# NUngrouped data, 不分组资料3 _% e4 B# r: F) ?0 }9 d/ S2 _/ X
Uniform coordinate, 均匀坐标4 F2 ^) _1 B( q% U0 N& a
Uniform distribution, 均匀分布( O) B7 x ], H2 i3 y0 }! i R
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
) T: D# U' [& lUnit, 单元
3 a$ u, W: g# M# |6 RUnordered categories, 无序分类" j1 s+ B+ s/ X0 ^
Upper limit, 上限 h9 `6 a+ R, L+ S! }/ }4 D* \
Upward rank, 升秩
- g7 o* S( T7 B" HVague concept, 模糊概念
% [2 v" B- b2 B+ ?Validity, 有效性
% L# Z5 r# i% J) a5 q5 x! \+ FVARCOMP (Variance component estimation), 方差元素估计! Y* T& f: G: }( ?% U+ O) C" Q7 d, c
Variability, 变异性
* w/ O% ^5 j+ R- o4 n# _Variable, 变量
4 S, a% ^& Q# t% f# v# t1 `: Z' nVariance, 方差
& d9 y8 m' ~- f2 f. n0 GVariation, 变异8 I, q2 h* B2 @$ r
Varimax orthogonal rotation, 方差最大正交旋转1 v \ C7 D$ ?8 `
Volume of distribution, 容积4 G) u& P' d$ Y* G5 `
W test, W检验9 R6 p3 K3 K* p9 h' ^; r! U
Weibull distribution, 威布尔分布' t1 t5 b. O% ]8 @% A4 Q! L
Weight, 权数$ \# D4 e. _- f5 i2 d6 g/ ~1 h q3 ?
Weighted Chi-square test, 加权卡方检验/Cochran检验1 u( E, M- `; X/ b2 l
Weighted linear regression method, 加权直线回归4 o: |5 I- L" E2 c
Weighted mean, 加权平均数
( h: J1 m. W/ @; xWeighted mean square, 加权平均方差 n, V# H' i# i3 s
Weighted sum of square, 加权平方和1 O2 p1 j% w. l/ O& ]. i: c" ~
Weighting coefficient, 权重系数- Q: `& d2 L A/ f$ R1 B9 B( i
Weighting method, 加权法
- n8 _7 O3 T, {2 GW-estimation, W估计量
4 W! t) p, H$ w: N5 x- O- B) N. ~W-estimation of location, 位置W估计量7 R6 P- F6 f* u) J
Width, 宽度7 v3 [* P2 |: W3 j' _0 Z! `: }1 d7 J0 B
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
( |3 p" q% X0 R5 fWild point, 野点/狂点: J. I. W; \% ]8 P
Wild value, 野值/狂值9 k, A; }% f- [; x7 |+ K( M
Winsorized mean, 缩尾均值2 U3 c: u1 _; _$ p
Withdraw, 失访
# }( a: O7 r; x& s; e: d; X/ fYouden's index, 尤登指数
+ V: o2 C' i( ~; R) P3 ^4 y0 @Z test, Z检验! I6 c5 F; ]- ]; R1 ]
Zero correlation, 零相关6 Z9 H' o- F) D
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
