|
|
Absolute deviation, 绝对离差3 Z2 A" `% Q: x- x( i3 J* ^+ s' x
Absolute number, 绝对数
9 F( u6 k* O, [1 \. dAbsolute residuals, 绝对残差
& L; d& q' _- M* Z: |4 HAcceleration array, 加速度立体阵6 Y" n4 X( U! f% A% ]: b8 l1 t
Acceleration in an arbitrary direction, 任意方向上的加速度
8 |8 {! Y7 r8 K7 F6 J* YAcceleration normal, 法向加速度8 I: u0 N j. ?5 g! j
Acceleration space dimension, 加速度空间的维数
8 p6 G7 w! y' E+ `- K" V6 JAcceleration tangential, 切向加速度5 U* ]. p j& J$ h+ v+ r' {
Acceleration vector, 加速度向量* u1 ~# g+ t d g6 C+ O9 P' c
Acceptable hypothesis, 可接受假设3 E& z. q% n/ M# l3 L* u
Accumulation, 累积
|( n% b6 Q- V& v/ C ?Accuracy, 准确度6 \4 P) ]: v8 o! @7 D! `; E4 l
Actual frequency, 实际频数8 ^3 e( `# i" Z% ^: G! A; Z
Adaptive estimator, 自适应估计量' W# m: d% E7 N. w" u5 T- y2 Z
Addition, 相加1 g4 v; O1 F, Z% `$ l5 D+ ?% x! o6 @
Addition theorem, 加法定理: S. c" \! x# t1 a0 Z4 `) D
Additivity, 可加性$ S2 s0 T/ s. T' o, q- Y y
Adjusted rate, 调整率
) g3 S/ t( f S% {9 C9 AAdjusted value, 校正值
3 i) z. h4 z' n* c' t6 ^Admissible error, 容许误差1 ~0 i9 |" _ ~' @* [6 A" J% V: P
Aggregation, 聚集性: ^$ @+ D2 u* S% J' {0 Q
Alternative hypothesis, 备择假设
! |9 Q4 C) t: {- I5 w# W' `' W) tAmong groups, 组间0 ]( r) s+ j- `: o: }/ m% Z
Amounts, 总量8 _; v- ]" t( J# K5 }
Analysis of correlation, 相关分析* B, j9 W+ @* R. Y5 L! B7 _
Analysis of covariance, 协方差分析! S( M0 W3 k7 x8 Z; G
Analysis of regression, 回归分析
* b$ V+ s- q I( \Analysis of time series, 时间序列分析
, U9 e" X. r: s, F; EAnalysis of variance, 方差分析
& L) m' |. n- S) sAngular transformation, 角转换" E5 J( n* j9 @+ q- Q
ANOVA （analysis of variance）, 方差分析0 i3 ^( i5 ~ E: H
ANOVA Models, 方差分析模型
2 z, `/ f/ V+ x( _1 bArcing, 弧/弧旋2 f+ p; p+ u: j" G
Arcsine transformation, 反正弦变换
' v* Z O1 J. b: _4 [. ~6 X4 g XArea under the curve, 曲线面积
: Y- [) L. o( D; \# 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 $ X, Z- v B+ Z! C
ARIMA, 季节和非季节性单变量模型的极大似然估计
2 `# q* e& E' |Arithmetic grid paper, 算术格纸9 U9 g+ x/ ], t5 o6 ?8 E, w. t
Arithmetic mean, 算术平均数
: I+ b+ b( N6 i) a5 kArrhenius relation, 艾恩尼斯关系* w, [, M: t/ s
Assessing fit, 拟合的评估4 z7 \" ~, T# c: i
Associative laws, 结合律
$ @, F) s2 j8 @) i# c6 j0 SAsymmetric distribution, 非对称分布# Z4 F1 w) A8 K8 Q$ V; ^$ O) P3 L
Asymptotic bias, 渐近偏倚
* o% a3 x$ b2 nAsymptotic efficiency, 渐近效率3 H" t# F8 i! h! T' a; F
Asymptotic variance, 渐近方差
/ ~+ Z$ G/ b0 {' zAttributable risk, 归因危险度
A) ]1 D& f# V. O `Attribute data, 属性资料9 @8 G5 \ X; E# g5 K* m4 R, g/ Y" X
Attribution, 属性
" Y0 a4 Q6 O f8 K/ EAutocorrelation, 自相关
( W% O6 ?- t; |. W& O/ S- ]Autocorrelation of residuals, 残差的自相关
u6 ~+ c% V; g# [Average, 平均数$ M% }8 d. v8 I4 K! I; u
Average confidence interval length, 平均置信区间长度
! E$ m2 M2 C* k7 A) CAverage growth rate, 平均增长率( J0 p! _8 y9 x3 I1 Q9 t! L" p
Bar chart, 条形图
( W; H- z% l! A4 m* n- GBar graph, 条形图
" f8 l- A( t6 ]- MBase period, 基期+ n; ~" |1 k) |7 w$ p. u
Bayes' theorem , Bayes定理1 q- h: n* j y K% }1 X; }; |' P
Bell-shaped curve, 钟形曲线7 b4 X. ]: E, @# E4 Z4 o" P
Bernoulli distribution, 伯努力分布
* {" `6 H( J; C8 eBest-trim estimator, 最好切尾估计量9 j2 L0 K* W8 F4 j. E
Bias, 偏性) w) c2 H! S* q+ P* s& U5 f
Binary logistic regression, 二元逻辑斯蒂回归8 K! a) ]3 a/ {+ ^
Binomial distribution, 二项分布5 @8 B c- J5 N1 x0 H# I% Q
Bisquare, 双平方, F% _2 L7 Q+ k# ?6 |' w
Bivariate Correlate, 二变量相关+ ]% x; R$ X! E; b
Bivariate normal distribution, 双变量正态分布$ N' h) r, s0 \
Bivariate normal population, 双变量正态总体! z( [8 [9 O6 o, f+ V( F- O$ {) \
Biweight interval, 双权区间
* w: D( J7 p6 D* _$ q7 i7 RBiweight M-estimator, 双权M估计量+ D2 @- N7 W8 J
Block, 区组/配伍组
1 K5 a' n- j3 r' C5 eBMDP(Biomedical computer programs), BMDP统计软件包. J$ ]' z, i3 v- u" z
Boxplots, 箱线图/箱尾图% U4 ?' F; o/ e7 j7 v5 w
Breakdown bound, 崩溃界/崩溃点
) i1 w; J" }/ P" C; I7 ZCanonical correlation, 典型相关
8 s; h1 g. U1 [9 ~ \& z4 C$ pCaption, 纵标目
8 |' @4 U6 C/ ]! pCase-control study, 病例对照研究
8 z+ M4 X. D) R5 [6 LCategorical variable, 分类变量. U) \! I) g$ F! s
Catenary, 悬链线
& l0 m A) F; O- w0 }; dCauchy distribution, 柯西分布3 j. O8 l( y$ o
Cause-and-effect relationship, 因果关系* H! w1 z" C2 J' _* L8 X
Cell, 单元
/ G# t- A3 Y% P5 p# \8 r( B) a @Censoring, 终检6 H" v6 D$ `1 }9 U" V
Center of symmetry, 对称中心
+ x4 c6 ?: W/ Z# MCentering and scaling, 中心化和定标
' E% r9 K- x, LCentral tendency, 集中趋势2 J* s) x4 X6 X/ n2 q5 E! b d+ R
Central value, 中心值
- {# k- K/ \0 R* rCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测. \5 O0 L* Q' b& X& Q( Q9 x' b3 `" p
Chance, 机遇
, k" b# W- s. ~Chance error, 随机误差
$ T6 P+ k% ^& O. _Chance variable, 随机变量" p* o. F, s6 Q/ n
Characteristic equation, 特征方程
; X5 e, ^: B+ m0 [( U/ G' bCharacteristic root, 特征根, b, p* I: `% Q6 i) T% d
Characteristic vector, 特征向量
5 X* P& Z: ]! T( ^Chebshev criterion of fit, 拟合的切比雪夫准则
1 ^ {4 z. w9 Y. wChernoff faces, 切尔诺夫脸谱图
" M6 H4 Y2 X: K" L" M3 a6 }' V; zChi-square test, 卡方检验/χ2检验+ W0 b7 Q# v" e2 ~: a
Choleskey decomposition, 乔洛斯基分解
; q, U2 m8 ?0 u) Y- E; HCircle chart, 圆图
1 ]6 z$ U; D' C9 h- }7 JClass interval, 组距6 Y: V$ b- N, S$ d j
Class mid-value, 组中值: q8 H7 y0 S9 h+ ?0 [
Class upper limit, 组上限
6 e, T0 ^# J% EClassified variable, 分类变量
. A8 N! i/ O8 O! p8 d- D" mCluster analysis, 聚类分析0 Y2 d6 v- p* `' @7 f/ @2 D
Cluster sampling, 整群抽样) F) m, u2 G+ w5 {+ n7 m+ Y
Code, 代码
6 R+ H# b( j$ R$ MCoded data, 编码数据! B0 _% o4 r& g- Z
Coding, 编码
. L" K5 b* D* j9 D5 @+ ?) zCoefficient of contingency, 列联系数
% ?% ~. h% f; Z& N) z' g, A0 yCoefficient of determination, 决定系数: b3 _2 y# z+ N% h A
Coefficient of multiple correlation, 多重相关系数- T/ P) c1 v, u9 Z1 r
Coefficient of partial correlation, 偏相关系数
3 q# ]& X- o7 V) u8 DCoefficient of production-moment correlation, 积差相关系数
) x& w3 {& Z$ `. T- ^1 q0 WCoefficient of rank correlation, 等级相关系数- O6 z' j% e2 s& F, {1 W) X
Coefficient of regression, 回归系数9 ?( U) i4 t' x$ m# Y- ~ l
Coefficient of skewness, 偏度系数- ^% y* D3 |' x6 a3 [7 F
Coefficient of variation, 变异系数
; o) ^( k3 h; E5 ?9 RCohort study, 队列研究
! ]: i/ i7 {) uColumn, 列
& X- f; V# R- {& a6 \# [1 LColumn effect, 列效应! S' b) k P/ T5 y! @! T
Column factor, 列因素" S6 Y/ C+ S# C5 J1 w: U
Combination pool, 合并
& s0 ?. Z1 C* {5 j& M# R+ ]Combinative table, 组合表
4 ?) m/ h6 ~6 z) w& QCommon factor, 共性因子
f8 \/ J+ m8 `- w) @% N( ^3 HCommon regression coefficient, 公共回归系数
1 V$ j i% c: ^1 ~9 j" d! yCommon value, 共同值# O4 U4 |$ w+ o
Common variance, 公共方差
6 r5 H& r W. O' d' WCommon variation, 公共变异; s' e' v7 N! z7 ?, _/ g
Communality variance, 共性方差( x, Z3 W) W" C9 C- W' G
Comparability, 可比性4 D" E; g+ {! W Y: [$ Y
Comparison of bathes, 批比较
: M, n+ r) P# s) L5 X. SComparison value, 比较值
# ~$ ?1 u! c" U% S, t( b, p/ {Compartment model, 分部模型; Z4 F& V! X) |* G" g" U
Compassion, 伸缩% l' D+ S0 @* x( q/ Z' s1 H
Complement of an event, 补事件6 x g5 U) ?6 }, n; l2 l
Complete association, 完全正相关& J- G6 k I; W- v) V! W
Complete dissociation, 完全不相关- N$ G. ~! F+ V* J5 ?# k* A- ^
Complete statistics, 完备统计量
9 O" Z4 p% ^7 c- ?Completely randomized design, 完全随机化设计
l5 @* A9 Z- HComposite event, 联合事件# f& F9 }; H, u, I- H, {5 L% {
Composite events, 复合事件
9 h: L$ L8 L, I/ S9 L0 cConcavity, 凹性: H3 M; t4 C' F- y' t6 C& F
Conditional expectation, 条件期望7 R* D( J3 w1 y
Conditional likelihood, 条件似然
, |1 W7 H; }, U( j4 rConditional probability, 条件概率3 t( H* p: a8 [
Conditionally linear, 依条件线性
4 |3 B2 y4 \+ Y7 I' hConfidence interval, 置信区间
3 w& x. D( m/ ?Confidence limit, 置信限3 j' I: I: w8 x
Confidence lower limit, 置信下限
' Q4 w8 v2 @3 sConfidence upper limit, 置信上限8 U. ^6 X# T: P
Confirmatory Factor Analysis , 验证性因子分析
1 ~7 x- x" r6 S2 ?/ xConfirmatory research, 证实性实验研究
) r5 I: t* n+ l! PConfounding factor, 混杂因素* B7 ^: T7 @2 B- \; f! |
Conjoint, 联合分析8 `# R/ l( E( i7 i
Consistency, 相合性/ t% J! l0 M1 e `2 B" e
Consistency check, 一致性检验" ~' w) F% e4 f! f4 A
Consistent asymptotically normal estimate, 相合渐近正态估计
5 b% I; v9 \4 y7 nConsistent estimate, 相合估计
: s8 M, H3 h6 _: P/ A; ~- t$ ^% lConstrained nonlinear regression, 受约束非线性回归
% Z# r, G% U6 w' ?$ ^) M+ mConstraint, 约束
5 F9 M9 p l, P* N$ d: E/ Z3 KContaminated distribution, 污染分布9 |3 P2 S0 s. p/ [
Contaminated Gausssian, 污染高斯分布
9 ?" W/ d$ o# w; S: D1 XContaminated normal distribution, 污染正态分布
! v4 h1 @! E" xContamination, 污染
9 f C9 i2 m7 P3 D% I! ]Contamination model, 污染模型
& |* m# R* }- J8 D. IContingency table, 列联表
- e! U6 J+ o' K1 T4 ]Contour, 边界线4 g/ m& \+ T ~
Contribution rate, 贡献率- x } [ V9 h
Control, 对照
4 [! b+ u3 @+ Q* TControlled experiments, 对照实验
$ S3 H+ m! J( r. S4 m5 gConventional depth, 常规深度! O. g6 M8 [# G0 b( r
Convolution, 卷积
" R) L' r2 f2 vCorrected factor, 校正因子
' B7 V6 ]4 d6 d* Y8 Q, ]Corrected mean, 校正均值
% d4 }, M; B3 i5 ^Correction coefficient, 校正系数
. P m2 _4 @ `% V, OCorrectness, 正确性% G9 z! O. L2 ~+ O: b3 [
Correlation coefficient, 相关系数
1 I7 {6 r! m7 b* {. ICorrelation index, 相关指数
9 D* N2 ~& {' p/ w" e7 x4 RCorrespondence, 对应- f* M7 [8 ~" l" I
Counting, 计数" H9 e( A$ M3 x
Counts, 计数/频数, K8 h* L: p7 x: o8 y9 M$ v! T
Covariance, 协方差( L, O( t$ V: J
Covariant, 共变 1 @! i5 k, K! h/ }5 m
Cox Regression, Cox回归
$ v% F6 G# _2 C0 p' DCriteria for fitting, 拟合准则
+ I, Q. w& Z& t# u2 |/ Y9 E1 B3 `Criteria of least squares, 最小二乘准则
- r( k) z+ [4 v: q+ ]Critical ratio, 临界比, @# Z+ L! K+ ?$ d: T
Critical region, 拒绝域
$ o1 S5 J4 Y w6 G4 p/ ICritical value, 临界值$ [" H9 z2 [# O# v
Cross-over design, 交叉设计
2 L4 U: ?. _) Z- H/ s8 ^7 H# y- RCross-section analysis, 横断面分析0 K/ \- [* Y. f# L$ \
Cross-section survey, 横断面调查
" D$ t1 J; x( N2 d0 p+ T# [Crosstabs , 交叉表 " d Z# ?) s( I. U4 S3 I
Cross-tabulation table, 复合表
. {! ~' ]" x# _ ~- }Cube root, 立方根
% Q2 y1 A, W# s; [Cumulative distribution function, 分布函数5 V' x4 e# N# A3 u0 D D2 }
Cumulative probability, 累计概率* T; y9 m F; I+ p4 q J" p
Curvature, 曲率/弯曲
) {# r# b; P: t) R' W7 uCurvature, 曲率
4 G1 a E) X- k7 `6 k7 e+ H+ fCurve fit , 曲线拟和
2 i E) G9 o6 J; ?Curve fitting, 曲线拟合
/ O1 L6 i' ~+ e& U4 }3 y7 Z4 MCurvilinear regression, 曲线回归6 M2 H9 t1 H: T S& \* O s) `8 _
Curvilinear relation, 曲线关系- R1 b, _4 B: H' X! j3 L
Cut-and-try method, 尝试法
1 x2 ~7 n4 G1 [- Z" O, H% FCycle, 周期
. j9 y* {0 V' S xCyclist, 周期性
4 e) C% N5 D5 c iD test, D检验) q! }$ J9 v$ m" g; @* A* K
Data acquisition, 资料收集# V; f2 Q: p" Q" L
Data bank, 数据库( ]/ ]. y8 b2 _( l4 L
Data capacity, 数据容量5 a8 m" x* w I \! N! O3 E# }/ s
Data deficiencies, 数据缺乏
1 D2 M% f G1 _- G( G; ?, @Data handling, 数据处理
# o8 A Q$ z1 s' E6 U% K2 x- gData manipulation, 数据处理" f4 y: @" I0 D" _* ?$ N
Data processing, 数据处理* ?+ ~8 q5 L6 ]/ V
Data reduction, 数据缩减; z% n7 S$ S3 R1 g; Y. J. K
Data set, 数据集
' j' b; r7 o6 b d; {7 }Data sources, 数据来源
0 H T/ e- t8 u: s, qData transformation, 数据变换6 s- Y" O& l# f4 f, N; x1 K j
Data validity, 数据有效性 z2 P1 b1 \! X' v+ f0 D
Data-in, 数据输入
& I% E p7 S& [6 BData-out, 数据输出) p8 ]. F& b6 }( w" n
Dead time, 停滞期
t0 G$ v1 G8 @/ D; I% ^Degree of freedom, 自由度
& s" } T, O" T$ A- s. HDegree of precision, 精密度
( M" y& s L; O2 ~8 |& L2 ?Degree of reliability, 可靠性程度
, Z4 v) m: B6 {Degression, 递减
5 e, [$ C0 Q& s) |) VDensity function, 密度函数$ ]: g4 @. _. ]) J* c
Density of data points, 数据点的密度7 K2 p+ R- H6 n; H0 j( m7 O$ Q
Dependent variable, 应变量/依变量/因变量) P" x, Q! t" [9 @5 k3 d- ~
Dependent variable, 因变量' d+ c: ]9 P$ T/ I4 }) U/ g
Depth, 深度
/ @6 D! i/ Q& B9 wDerivative matrix, 导数矩阵
e0 Z( F# i! P9 @Derivative-free methods, 无导数方法) o4 w1 u4 _0 H- U- r' P- R
Design, 设计
% W A( Z5 H. T+ L3 @3 Y4 _ [Determinacy, 确定性
' G. ~6 h+ M. u% J& UDeterminant, 行列式) s" X, G* D: r j- }
Determinant, 决定因素, S2 U( ~! u3 K5 o3 ~& ?+ y
Deviation, 离差
0 u+ a o7 _ a: y- p* fDeviation from average, 离均差/ P3 F. V0 T* ^2 {
Diagnostic plot, 诊断图, b D7 X- h5 t0 ~" T. \
Dichotomous variable, 二分变量
. _1 |: r0 e4 H7 J8 z1 Y1 d6 B& wDifferential equation, 微分方程5 I6 Q8 s/ \/ u/ }
Direct standardization, 直接标准化法% K E2 H/ }0 |. |' c
Discrete variable, 离散型变量. ^( S" w+ ]+ Q
DISCRIMINANT, 判断 1 M+ U$ Q X; r3 ^: M
Discriminant analysis, 判别分析; Z/ `% w" D; x7 @
Discriminant coefficient, 判别系数9 c: k. o- J8 ~$ ]# W( `4 R: ^
Discriminant function, 判别值+ Z8 l4 m: F. E7 f! f
Dispersion, 散布/分散度' U& Z4 \* M6 B) _4 Z+ K7 F
Disproportional, 不成比例的9 k8 ^- @* N' f4 W; }; z0 `
Disproportionate sub-class numbers, 不成比例次级组含量
0 N) ]: S5 O$ M2 U2 LDistribution free, 分布无关性/免分布
/ _' K9 ?; a, a$ qDistribution shape, 分布形状
4 v) V4 Z% m C( H6 b0 X# X6 y9 tDistribution-free method, 任意分布法
; `/ p/ d8 U; B. S; E+ @) m/ A3 BDistributive laws, 分配律1 C2 |) [- B0 i* k5 O6 G: H
Disturbance, 随机扰动项
4 S O6 C& {5 T+ ?: lDose response curve, 剂量反应曲线3 k' q- `4 f) W0 F
Double blind method, 双盲法" o9 N8 S! Y9 q O6 R u
Double blind trial, 双盲试验
/ W+ h; J# j1 vDouble exponential distribution, 双指数分布+ q/ H# |- S- |
Double logarithmic, 双对数, Z, ~4 a7 e( \+ t& E5 T: U" a
Downward rank, 降秩
/ O+ w: p1 f% s# X9 BDual-space plot, 对偶空间图8 Z3 j5 Q9 T( P$ s% Y }
DUD, 无导数方法/ A2 O% R9 i. J- w- V/ G- H
Duncan's new multiple range method, 新复极差法/Duncan新法
' c+ G/ N- S) d4 `, t$ w8 h; @6 mEffect, 实验效应
! p, }6 v. B3 L# N4 U2 ^, ^: @Eigenvalue, 特征值' E* b+ x E5 |. Z7 A
Eigenvector, 特征向量5 d, ~4 |+ l7 p" }5 Q& I( ]* c
Ellipse, 椭圆
& F2 e$ Y4 e& k0 ~- Z* }1 REmpirical distribution, 经验分布
0 P" y* \5 o0 Z! i& S4 S! o+ ]Empirical probability, 经验概率单位
8 V9 f8 f6 \ h# @Enumeration data, 计数资料0 u, H3 R. V1 G L+ T6 q
Equal sun-class number, 相等次级组含量
0 C! ]8 ~* I4 {9 |Equally likely, 等可能
1 V' f2 X, T2 sEquivariance, 同变性6 w7 z6 ~& w: O" X$ V" J8 p, z
Error, 误差/错误* _6 I2 a- W2 V! ^$ R- @1 z
Error of estimate, 估计误差) d0 b5 ~5 R! V" o
Error type I, 第一类错误
" g0 p* ]- g! f/ n, FError type II, 第二类错误
+ y8 Z, W F7 p5 X0 B+ `Estimand, 被估量. l8 C* D( B" F: G& N
Estimated error mean squares, 估计误差均方5 ?0 F4 D8 y6 k$ Z
Estimated error sum of squares, 估计误差平方和
* J7 N$ L: x/ C/ p& ~Euclidean distance, 欧式距离, b: _" s' n' M6 @0 n" H1 \
Event, 事件
; h- ^' J0 c& H- ?Event, 事件 q" \5 G- R7 l
Exceptional data point, 异常数据点
! ~* \9 }& Q! zExpectation plane, 期望平面$ X( ?( }0 b6 `
Expectation surface, 期望曲面
+ ^- {- i# F- ~; QExpected values, 期望值
; c! }% B/ d/ `Experiment, 实验
D/ k9 {7 V; t& B7 fExperimental sampling, 试验抽样& K9 W: p, m" F- f" q" b; L& m; s
Experimental unit, 试验单位$ R& B' `: C K/ d
Explanatory variable, 说明变量
2 l. l) p6 _! F, AExploratory data analysis, 探索性数据分析* F$ z0 h- J+ r( u& ]5 o6 @
Explore Summarize, 探索-摘要0 Y* U1 P% W5 ]( o* |4 q# `# \7 h' W, O
Exponential curve, 指数曲线 D4 w1 |: p2 `2 t" n
Exponential growth, 指数式增长; X5 N0 c/ t$ W6 Y& K' M
EXSMOOTH, 指数平滑方法
- g- F, E9 H3 g" C1 FExtended fit, 扩充拟合
( H! ]0 t2 M; d/ U1 q8 d6 ~Extra parameter, 附加参数0 l Y( d% t9 k2 F4 ~& B
Extrapolation, 外推法
; d4 z+ S9 a7 L# x q; QExtreme observation, 末端观测值# `9 l& }, |3 U2 \
Extremes, 极端值/极值( L( u: R9 v; T+ v4 _
F distribution, F分布
4 }. H/ G8 V8 A3 }3 n0 r) MF test, F检验7 v+ k9 H M/ E% f0 r+ e4 v: T
Factor, 因素/因子 D: i r+ {) I: R
Factor analysis, 因子分析
p8 [9 U" }$ a/ j# d/ BFactor Analysis, 因子分析: _4 h7 d4 T7 P8 X
Factor score, 因子得分
, D' Q& K8 Z1 W* L& Z; `Factorial, 阶乘# [7 f/ A7 Q+ j2 ]: m7 P
Factorial design, 析因试验设计/ v0 |1 f0 Z: I9 l% y4 \3 X1 }
False negative, 假阴性
. T( ~% r: x1 Z. R* E3 VFalse negative error, 假阴性错误
$ |, z' t1 ]' W! x% O5 }" ZFamily of distributions, 分布族8 `! m8 b5 A7 e3 T O# W
Family of estimators, 估计量族2 `5 E/ x3 B9 n; R- u3 \
Fanning, 扇面1 J' e/ y" H! q: W6 u4 _& A8 `
Fatality rate, 病死率3 {7 i& @ J& y* n
Field investigation, 现场调查
2 O5 O2 C1 J8 L0 CField survey, 现场调查
! C& M4 K9 M7 c5 m) |Finite population, 有限总体
: H" q/ m7 L, NFinite-sample, 有限样本
1 G& ?0 W! W8 x, E+ U, QFirst derivative, 一阶导数
% o( K O1 E+ v7 xFirst principal component, 第一主成分) L+ _) D8 e5 I# q
First quartile, 第一四分位数; e: e0 S# P: a- z/ ^; d8 L2 U
Fisher information, 费雪信息量
6 f% ?+ a' ^0 k4 tFitted value, 拟合值' O" C+ m# b9 X
Fitting a curve, 曲线拟合
' }& g" r8 q7 j: e4 A& j8 rFixed base, 定基
; C, Q, F. G& pFluctuation, 随机起伏
Q; t2 ?6 l4 w# _ EForecast, 预测
6 R; N3 `* d0 _: Q$ kFour fold table, 四格表" ~% |" u$ n6 z( G7 I
Fourth, 四分点$ c, |5 f4 x. |" E* u0 C6 U7 @
Fraction blow, 左侧比率
) |% A3 o1 H" L3 k) xFractional error, 相对误差) L6 D" M" ^ D7 t2 q/ P
Frequency, 频率
, v3 W7 a- x zFrequency polygon, 频数多边图
; i9 b# O, k+ J5 YFrontier point, 界限点
3 O8 x2 z, s B* @Function relationship, 泛函关系
2 o$ \" j( Z7 A* m( [! y# r; J9 EGamma distribution, 伽玛分布
8 r! q- t. Y, n2 P) n' T& aGauss increment, 高斯增量
% s/ S/ T' y2 o0 C# \Gaussian distribution, 高斯分布/正态分布 Y) _7 v/ {, P' O( ~8 D7 a. b) H# b0 Z
Gauss-Newton increment, 高斯-牛顿增量7 v$ w' b# H5 u
General census, 全面普查
% H1 O" g( g* R' ]) B* NGENLOG (Generalized liner models), 广义线性模型 ( K% |9 Z) @! Z: z" @
Geometric mean, 几何平均数
% ]+ k; K3 x6 I/ SGini's mean difference, 基尼均差: b7 x4 U9 r$ J: f b
GLM (General liner models), 一般线性模型
. ]3 p3 `- I8 G: W) C2 X" W+ bGoodness of fit, 拟和优度/配合度
8 ?5 m' `! \9 u1 a6 H) K" W `, DGradient of determinant, 行列式的梯度
; S$ s; Z5 r% r( H3 oGraeco-Latin square, 希腊拉丁方
! A- X0 D. a+ j- p* PGrand mean, 总均值
) G5 L# L2 }( g, t' H8 S |$ C/ [0 iGross errors, 重大错误
% w% C& [/ |) k# E% \, B1 c1 s+ wGross-error sensitivity, 大错敏感度
5 r! S4 b8 W# s9 a2 b% O6 }* uGroup averages, 分组平均) ?7 ]! m+ z! C' \9 G$ G
Grouped data, 分组资料# F- i& G( x4 y: z/ x
Guessed mean, 假定平均数: H$ a0 _* n% B5 }
Half-life, 半衰期
* v* I; x/ Q2 ?1 }) l2 h! JHampel M-estimators, 汉佩尔M估计量
4 S0 G* }$ [' c( K) }Happenstance, 偶然事件
' Z. Y b+ i, O2 d+ u, H4 ]3 X6 jHarmonic mean, 调和均数7 r1 V1 j! i% D
Hazard function, 风险均数& I$ @5 W% _* f* u0 `: k; h
Hazard rate, 风险率
' F$ P1 w+ i# d @' m. H, p# H7 pHeading, 标目 + g; G, `' k+ E/ v2 F7 L& X
Heavy-tailed distribution, 重尾分布* Z7 o& y' |$ w9 I G m+ d
Hessian array, 海森立体阵
! }0 s3 t& y! U; U6 g+ Z; m1 M0 ~Heterogeneity, 不同质
# `/ |3 _7 v/ W0 K. N& FHeterogeneity of variance, 方差不齐 & D8 T% K; _( F
Hierarchical classification, 组内分组
% B N3 \: b. jHierarchical clustering method, 系统聚类法
! j3 X4 q- D+ c& T* fHigh-leverage point, 高杠杆率点# p- V5 ?* z! U3 k! U5 U
HILOGLINEAR, 多维列联表的层次对数线性模型
; w3 B% @' z$ d) s. kHinge, 折叶点
! Y4 L1 J: D. [- j; b$ ~Histogram, 直方图
( Y; k/ `7 b- J# g* ~' U* ZHistorical cohort study, 历史性队列研究
# a' _; s, V0 q+ Z# ?; t8 ?Holes, 空洞$ Q+ [2 h x0 ?' u& K- w7 ]: v
HOMALS, 多重响应分析
. ]" s4 N$ x3 N1 LHomogeneity of variance, 方差齐性% S$ N; Y. Q1 c
Homogeneity test, 齐性检验
+ X. X+ w' B) @0 DHuber M-estimators, 休伯M估计量# Y: I$ z) G; T1 O( c7 Z
Hyperbola, 双曲线& H' \% N; }( i
Hypothesis testing, 假设检验
- a; W) s5 ^" Q f* pHypothetical universe, 假设总体
/ R# U$ h/ M+ b* V a! JImpossible event, 不可能事件( _8 C! u G, P9 W
Independence, 独立性/ `: B) M: d6 H2 P1 k6 s
Independent variable, 自变量
, _: T8 b8 P. q, G+ K/ G* m2 m- oIndex, 指标/指数8 C8 g9 S7 v9 n$ r
Indirect standardization, 间接标准化法
$ L$ W" o% n# U' P/ d5 u- y) jIndividual, 个体; |' @ U0 Q: g( }
Inference band, 推断带% K, B$ [, B8 d9 z( c
Infinite population, 无限总体
& C5 y p6 C! V0 `# b# J0 i1 P& o; l6 dInfinitely great, 无穷大0 ^. t8 b4 _% k% b7 \9 I
Infinitely small, 无穷小" Z4 r, r7 X/ A/ ^) \; b- c7 A
Influence curve, 影响曲线3 j l8 ~1 V( Z9 O2 ~: a
Information capacity, 信息容量' [& Q7 B q$ \! a; g3 f* {
Initial condition, 初始条件( K }2 t8 P) @, y" j$ N
Initial estimate, 初始估计值7 u/ e/ G' ~2 R; s6 \
Initial level, 最初水平
) n) w# M0 D. f% q: c" {Interaction, 交互作用
3 w6 a9 a5 a, ^& |& W1 XInteraction terms, 交互作用项! D6 [4 Y' s$ I g9 c2 b
Intercept, 截距: `! {0 ^% d7 x0 A8 ^ b7 o
Interpolation, 内插法
0 k1 b3 y" [! Y/ w: b! }; JInterquartile range, 四分位距, Q$ H/ {& e+ I6 y- v U6 w( w- _/ z
Interval estimation, 区间估计
: N& ]: w: q2 O! U$ ^Intervals of equal probability, 等概率区间
3 s6 b$ G1 \! k5 QIntrinsic curvature, 固有曲率
+ }: H z" u/ |* q* \. C7 z- RInvariance, 不变性
3 V( f9 G; R. q# gInverse matrix, 逆矩阵8 U Y+ |# M8 |8 D( O4 H3 r
Inverse probability, 逆概率
* [1 Z! w; O3 P* M9 p7 FInverse sine transformation, 反正弦变换
) i( h/ ]0 D" C) U- x, uIteration, 迭代 ' L- L) d4 L4 K q2 f# U- g9 z6 w. X5 x
Jacobian determinant, 雅可比行列式% I- Z& A4 y! z# }7 @
Joint distribution function, 分布函数# H! {# I: A/ t$ s- x* d0 h5 l
Joint probability, 联合概率1 r$ G9 Q/ [$ V6 n( s; @9 O
Joint probability distribution, 联合概率分布
; P/ w8 |' v2 @* I) m- b% p% \K means method, 逐步聚类法9 q; A3 {0 P& R ?
Kaplan-Meier, 评估事件的时间长度 4 a; x' y0 z b
Kaplan-Merier chart, Kaplan-Merier图" m+ L/ q$ [% D' n$ F
Kendall's rank correlation, Kendall等级相关* u6 M- }" {' e; {( l* e0 C
Kinetic, 动力学
' v$ @! I9 @9 i: ~ ?; |& |) l% XKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
7 z# b& @ {! S0 e2 a$ @/ t1 }Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验& }' S* |# {# k2 w8 k1 w8 J
Kurtosis, 峰度0 p! x5 h5 \) L8 C+ a* Y
Lack of fit, 失拟
{2 h1 r) @- ^! vLadder of powers, 幂阶梯
3 A* e$ `- U% J$ Q1 u" g# lLag, 滞后
4 Q$ z& M/ M. h/ ^; w, iLarge sample, 大样本
+ f! ?9 q: w. \. zLarge sample test, 大样本检验" A' o' t) L& [2 U+ v
Latin square, 拉丁方
! ~4 l+ G- ]3 b; `; ]8 l0 S8 o3 SLatin square design, 拉丁方设计& \* I `, [8 B) ~
Leakage, 泄漏0 T5 b# P9 _ S
Least favorable configuration, 最不利构形
) g; [9 `+ Z8 l: Z9 k: xLeast favorable distribution, 最不利分布
6 y4 r) x3 m! c: _7 z$ V' J' `Least significant difference, 最小显著差法' e$ P+ W R/ g0 c2 n. l- C
Least square method, 最小二乘法
2 }( q i; U$ a8 ]: }Least-absolute-residuals estimates, 最小绝对残差估计8 X3 l% y; t5 w+ R
Least-absolute-residuals fit, 最小绝对残差拟合
U0 m8 T/ k# ~5 U: rLeast-absolute-residuals line, 最小绝对残差线 t/ }* t2 R' D$ I
Legend, 图例
5 o; F4 c7 t7 w, `% o& bL-estimator, L估计量
! Y3 _9 _7 m( b4 uL-estimator of location, 位置L估计量
% j6 l' o/ y$ ` P/ M$ A5 h oL-estimator of scale, 尺度L估计量; ]9 Y7 w' }; l2 K
Level, 水平( U8 i$ ~4 E$ E5 i
Life expectance, 预期期望寿命
0 E# ?( N: V* \0 vLife table, 寿命表
) H! u$ M! T" I* `- C9 P3 p& BLife table method, 生命表法9 U4 ?# o+ h9 c# a+ S9 V5 s( q( N
Light-tailed distribution, 轻尾分布
- o( x6 D/ v# |4 ~Likelihood function, 似然函数
) o% ^( _% d' i% I" xLikelihood ratio, 似然比
/ e8 b: B7 A3 kline graph, 线图
5 |2 Y& P! A E- LLinear correlation, 直线相关5 D" A2 F& n4 P+ t1 N) l6 Q I" h
Linear equation, 线性方程
5 o1 s k7 Y; JLinear programming, 线性规划 d1 B% F, Y5 j) m4 j3 N( k4 ?6 Q; q- R
Linear regression, 直线回归
Z" x8 Y- K# e, Q* h _Linear Regression, 线性回归
+ C" K1 }4 k* v+ n& ^Linear trend, 线性趋势( r% A1 L4 {( p2 E
Loading, 载荷
! G0 L6 j( w! V& zLocation and scale equivariance, 位置尺度同变性9 [0 _ Y# a" V
Location equivariance, 位置同变性
5 b6 ?8 m& k* G% l& K9 K, Y; L! e0 zLocation invariance, 位置不变性; d, {* L7 ?3 f
Location scale family, 位置尺度族
/ i3 g0 z! n& [# {" }' V& a# B$ {Log rank test, 时序检验
6 n9 Q" x& n/ z, l+ }. B$ nLogarithmic curve, 对数曲线6 q, @+ r: d% P, I% l
Logarithmic normal distribution, 对数正态分布* Z" T- d' q: o" \; e# v0 v
Logarithmic scale, 对数尺度
1 `/ ~* h ^4 }( P h* SLogarithmic transformation, 对数变换( F/ _ S; d8 O7 l6 X6 O
Logic check, 逻辑检查3 }. `( I* P5 }
Logistic distribution, 逻辑斯特分布3 s9 T( O a8 ]+ U: d+ I
Logit transformation, Logit转换
8 U# z$ P" F" b2 {# u! k4 ^% O+ uLOGLINEAR, 多维列联表通用模型 o1 u/ z' R4 h
Lognormal distribution, 对数正态分布* Q- T$ q6 L- F5 i1 i
Lost function, 损失函数' X2 \# N) v- s. i" g' B
Low correlation, 低度相关
& }9 ~+ W6 q/ _1 M$ ^Lower limit, 下限( i; A1 C+ e/ P S' I
Lowest-attained variance, 最小可达方差
" ^0 r( s+ E3 Q/ gLSD, 最小显著差法的简称8 [& h4 a! \: W: ?8 X
Lurking variable, 潜在变量# i, n2 G+ g) @& y
Main effect, 主效应1 u/ y, M8 M) f- Z9 E
Major heading, 主辞标目' [$ O4 S5 S9 u$ ^% L1 t
Marginal density function, 边缘密度函数+ o6 R A* R3 d8 `) x4 R8 w- |
Marginal probability, 边缘概率
- T/ i3 l5 }4 C0 I, uMarginal probability distribution, 边缘概率分布
+ J2 |+ U6 A ~0 K8 dMatched data, 配对资料
' b4 |* J( o0 P& h" A" b2 AMatched distribution, 匹配过分布/ i2 a, Z. }% d, i% Y/ {) j2 ~: L
Matching of distribution, 分布的匹配2 p4 @& ]7 i6 y1 T+ G8 w: B$ f
Matching of transformation, 变换的匹配 Y3 N/ M8 X! e" m4 k
Mathematical expectation, 数学期望
8 o/ h9 }/ F5 U0 P& _8 m9 d BMathematical model, 数学模型
, f9 E p* v; E0 QMaximum L-estimator, 极大极小L 估计量7 _ M( z/ {3 T M
Maximum likelihood method, 最大似然法
. U! s2 U' I' G. }( Z* s7 U7 FMean, 均数
0 a! F! M5 d$ x) r6 UMean squares between groups, 组间均方
+ W/ j Z& X! o$ H7 RMean squares within group, 组内均方
( p! ~2 }+ O$ @Means (Compare means), 均值-均值比较
$ H7 I% t. W$ P, K& R7 I7 {7 QMedian, 中位数: }( ?( t/ n7 `1 }2 G {0 a
Median effective dose, 半数效量
' y' l$ s5 Z' I, _, | r$ nMedian lethal dose, 半数致死量2 }& C/ a7 l9 F1 g( m6 N
Median polish, 中位数平滑
3 ~6 J6 \7 T- b5 U7 _- R/ l; |9 a4 sMedian test, 中位数检验# a1 q7 k3 [) w4 m3 b. t
Minimal sufficient statistic, 最小充分统计量
7 ?4 q" ]; P4 E" v8 g5 Q0 K$ CMinimum distance estimation, 最小距离估计
4 b5 T# _2 Q! v$ j/ GMinimum effective dose, 最小有效量/ |3 r, e' E" a9 e) Z% F- V: @
Minimum lethal dose, 最小致死量# \$ f) M% s3 F) n
Minimum variance estimator, 最小方差估计量0 x4 O$ r, L1 p3 s
MINITAB, 统计软件包
( _# A* D4 I n; A8 r$ rMinor heading, 宾词标目
% o( d% R" M# A: B" lMissing data, 缺失值+ `7 T- O+ \2 p4 x
Model specification, 模型的确定
+ C( x7 U4 |1 L8 Z/ b P8 M( g1 ]Modeling Statistics , 模型统计4 E% }! P+ f# s$ }4 I. n6 e
Models for outliers, 离群值模型& P( U- I( t; M/ b3 D+ @6 K+ U+ `
Modifying the model, 模型的修正
; ^4 D0 [' r" D8 G8 m% r4 R- z; TModulus of continuity, 连续性模/ n$ f: ^! I& o2 @$ u
Morbidity, 发病率
5 v: K4 A; }6 z0 MMost favorable configuration, 最有利构形" F, F2 Z% r7 Q+ P" N8 k
Multidimensional Scaling (ASCAL), 多维尺度/多维标度5 G9 t& h a! N0 H( U9 D: B3 \
Multinomial Logistic Regression , 多项逻辑斯蒂回归
! B$ X: I' \( B' GMultiple comparison, 多重比较; c4 F) l3 o6 Q* h* M, l8 I5 x
Multiple correlation , 复相关3 y! _ V( Y" q: [$ f) O J
Multiple covariance, 多元协方差
% L4 | F7 w8 n' H4 {$ h' v) RMultiple linear regression, 多元线性回归
5 G4 s& Z# G& {Multiple response , 多重选项
$ L1 k- s/ }2 g8 {% r6 n# dMultiple solutions, 多解
1 c2 g$ b7 F. RMultiplication theorem, 乘法定理% s' z2 F6 F3 Z) l
Multiresponse, 多元响应
* y- X2 ^ k2 I+ T1 TMulti-stage sampling, 多阶段抽样) H3 c/ H. d( t; r3 ^* O8 ]
Multivariate T distribution, 多元T分布
7 c3 [# S( X2 Q3 k: x6 ]Mutual exclusive, 互不相容9 _7 A/ c* q; v7 B) p
Mutual independence, 互相独立8 c* T' l* S' ^* o+ M$ c
Natural boundary, 自然边界# T$ l) p- a' R: s9 m+ w* l! A3 ]
Natural dead, 自然死亡
" u* `, W8 |8 `. P( j- t/ BNatural zero, 自然零
. E' S/ k; Z6 u: }" M. ?Negative correlation, 负相关
* u+ r# G) c' t$ B) LNegative linear correlation, 负线性相关, X2 J: Y1 c6 P1 N; c- O6 a; s& c
Negatively skewed, 负偏6 o2 T4 ?0 \! ~( h
Newman-Keuls method, q检验
3 R% B& B; `# _6 pNK method, q检验' U* H) l: ~) }8 ~
No statistical significance, 无统计意义2 e* Y; A# ~7 `5 W& x5 Y J! n1 O
Nominal variable, 名义变量
& V. N4 G* G1 k( i* ^" xNonconstancy of variability, 变异的非定常性
8 E9 c3 \) V$ o2 E, y: S$ RNonlinear regression, 非线性相关% I+ W% v( {5 B) A1 M+ E, ?# r& M
Nonparametric statistics, 非参数统计
- M, n& w* z6 q7 l: i0 ]Nonparametric test, 非参数检验- u4 E' h2 m4 N+ A: [" `* K
Nonparametric tests, 非参数检验
1 D |6 s9 O5 E( {" v" a B4 s' u( U. VNormal deviate, 正态离差2 d: e( _" {$ ~9 s6 @
Normal distribution, 正态分布
! W( o3 Q& Q, h/ ~0 F9 ZNormal equation, 正规方程组7 e/ r0 g [# v" Q2 b! \# k
Normal ranges, 正常范围4 ^8 H; D! D0 U7 |8 f T' ?/ }6 y$ M
Normal value, 正常值/ W7 U0 w0 v' A, [3 a$ Q
Nuisance parameter, 多余参数/讨厌参数
% u, U5 T* M3 O4 U8 T; zNull hypothesis, 无效假设
% u( W, K# N$ @, ~Numerical variable, 数值变量- s( p) ?. O. {
Objective function, 目标函数
! m6 @8 z4 L: n" l9 LObservation unit, 观察单位3 F) ~) r% m/ N: G
Observed value, 观察值2 X/ t( m( u; H w& j
One sided test, 单侧检验% x0 X8 `) ?9 J* k
One-way analysis of variance, 单因素方差分析2 Q6 |: x: I- K% n0 Y9 M
Oneway ANOVA , 单因素方差分析1 p+ \9 I* y! h' t: p5 V1 Z
Open sequential trial, 开放型序贯设计3 l, m: J9 Y5 P. s* h0 W; A$ m. q
Optrim, 优切尾
1 \9 j- o) W8 Y3 P% x4 FOptrim efficiency, 优切尾效率
- C2 R: W( b# K! k3 uOrder statistics, 顺序统计量
) _; Z9 ?5 }2 P9 i/ {2 W1 n* WOrdered categories, 有序分类: U7 d# h" ^- D$ d# V3 Z) D& P
Ordinal logistic regression , 序数逻辑斯蒂回归3 X3 h3 O1 P6 f6 M. q
Ordinal variable, 有序变量$ ~; H- m2 R2 E/ B9 a% Y* c
Orthogonal basis, 正交基
8 p: P7 h; d) W2 `% \4 QOrthogonal design, 正交试验设计
" r4 Q" {& }7 GOrthogonality conditions, 正交条件
# V& h% X/ k+ F# v; }1 P# IORTHOPLAN, 正交设计
0 M: I) b1 q. @, H9 |* |Outlier cutoffs, 离群值截断点5 c g# K" X4 H$ n% B9 Z
Outliers, 极端值# `' _: D" m7 Q
OVERALS , 多组变量的非线性正规相关 $ E* I9 N8 H. W$ J
Overshoot, 迭代过度
! l' R \* n8 |0 B1 P- qPaired design, 配对设计
; x; _$ {) Q+ SPaired sample, 配对样本
4 z+ q8 i+ _1 x/ T' z& wPairwise slopes, 成对斜率
5 A1 B, U5 _1 P) FParabola, 抛物线
& v4 F& n. [7 U. R5 _, NParallel tests, 平行试验2 ^$ _. z4 Z% `7 s0 W. t. f
Parameter, 参数
: C/ \ ?( t2 }: ZParametric statistics, 参数统计: X$ e3 m: R: I$ v* u5 J% \) D. ?
Parametric test, 参数检验* |% b1 n9 |, b3 `
Partial correlation, 偏相关2 s$ ^. s; ]. u0 {
Partial regression, 偏回归- v# T P& H4 P* v7 l& a( L
Partial sorting, 偏排序1 y' U/ t# d# p7 J" J! S
Partials residuals, 偏残差( u: r! _# i/ e" p" [- H
Pattern, 模式" _; ~; i9 ^5 i0 j: f. J3 B
Pearson curves, 皮尔逊曲线
8 \) T( L4 h( j' R7 S3 r8 Z3 hPeeling, 退层
5 X$ z% h6 H6 Z2 _ h8 EPercent bar graph, 百分条形图
5 l9 M+ P, R e$ i" EPercentage, 百分比
- a1 D1 m/ p' B3 h; w7 f# fPercentile, 百分位数
6 e' M9 C' s( TPercentile curves, 百分位曲线
# a/ R8 _) D: J$ }Periodicity, 周期性2 O8 p3 b8 {. {
Permutation, 排列
! U1 b" `* o1 M. xP-estimator, P估计量
, y2 D& ]0 I' m6 q) z) A" i- aPie graph, 饼图 p" `! f% Z9 {9 W
Pitman estimator, 皮特曼估计量
9 j1 B( J, {1 S I @Pivot, 枢轴量
7 L7 _: ~2 U1 M# h. M1 ?4 F5 L$ OPlanar, 平坦3 r: u* L7 i; c5 U9 L
Planar assumption, 平面的假设
$ R" r' B& h/ i2 u, kPLANCARDS, 生成试验的计划卡7 o7 }9 ~" \" Y a9 o7 l. h, m. V
Point estimation, 点估计
' [2 K2 e# n, k7 S, F. k' |" kPoisson distribution, 泊松分布
) l; ^1 }/ z5 [Polishing, 平滑
& w& E" ^( Z+ h3 gPolled standard deviation, 合并标准差; r d' h# C# j. e7 e, L
Polled variance, 合并方差
- V$ R8 g8 r' e9 YPolygon, 多边图
) A7 g* O1 P0 k% b6 u* u# B9 ]Polynomial, 多项式% z3 D+ s, F% U- b! e# S9 c
Polynomial curve, 多项式曲线
0 Q# a; W& O+ g R: q1 @9 `9 i2 lPopulation, 总体
3 V% i: v+ u4 h( h, \( {& E) NPopulation attributable risk, 人群归因危险度/ H/ N8 S5 b$ X& k) T6 _) ^
Positive correlation, 正相关
0 c4 c( n; g' L' G6 ePositively skewed, 正偏) d* U# m9 n$ k2 l8 ~0 c3 |5 ~
Posterior distribution, 后验分布) a: [$ K2 b4 l& R
Power of a test, 检验效能
1 P c& n5 u( @8 x2 K: }! h; APrecision, 精密度
1 U+ ^9 S! C: `+ _Predicted value, 预测值+ w s8 W- U! H) }) ?( w; F/ i; o
Preliminary analysis, 预备性分析
$ Q ]4 Y& b; C1 IPrincipal component analysis, 主成分分析' H* [4 V" Z" i3 i
Prior distribution, 先验分布
, S: m% j- U- }2 V. G6 E5 XPrior probability, 先验概率$ ~. n0 u5 O% O$ `! b- L
Probabilistic model, 概率模型# h5 }& i) W6 S$ |9 O
probability, 概率
9 h" H5 i l6 }* mProbability density, 概率密度 o9 p8 X: W& _# P/ e
Product moment, 乘积矩/协方差
4 _8 `2 y1 N4 |' Q- b- eProfile trace, 截面迹图) E( |% M* ]) M4 b# w2 p
Proportion, 比/构成比
1 Q [0 ?3 ?/ RProportion allocation in stratified random sampling, 按比例分层随机抽样
- T$ i k1 G* {' V1 ?Proportionate, 成比例: t: n% w4 t/ e, }$ d* v
Proportionate sub-class numbers, 成比例次级组含量
* N; a5 ]! x& r# m, YProspective study, 前瞻性调查7 p8 C/ R$ {# V( a% E9 h) b+ V; c
Proximities, 亲近性 & M) A0 W7 o# k6 o$ W" z4 W- H
Pseudo F test, 近似F检验
" F4 j; b$ @0 ]/ U/ ]* o# qPseudo model, 近似模型: K+ R' h# y6 Z8 E" o/ E! D( S) o
Pseudosigma, 伪标准差
, F# J$ U) U$ t& t3 t; t8 uPurposive sampling, 有目的抽样/ b; ]8 t1 o+ S6 R# W, H, i
QR decomposition, QR分解
$ R& U! H) a* h) eQuadratic approximation, 二次近似/ |" a% H/ }6 S! v; e
Qualitative classification, 属性分类
! j3 d8 E% O$ U/ K: r; CQualitative method, 定性方法+ u @; v7 Q# s/ y2 C8 p
Quantile-quantile plot, 分位数-分位数图/Q-Q图7 i4 }! u ]- @' w o( r* M
Quantitative analysis, 定量分析( @+ h' v" u8 t9 H% A, z
Quartile, 四分位数. a) R! Y( |: C1 i0 l3 d
Quick Cluster, 快速聚类7 E" L) w5 p# _
Radix sort, 基数排序( b) U. h" i Y$ _% j+ |
Random allocation, 随机化分组9 x; e4 V L4 x) V6 H
Random blocks design, 随机区组设计, N( {" h/ E, ~- l
Random event, 随机事件
: Q4 W3 x3 r/ S' T2 jRandomization, 随机化
1 q# l' Z, l' B% O& y* SRange, 极差/全距
& N$ _) x0 G1 [) j* mRank correlation, 等级相关1 r4 t4 G+ ]" u
Rank sum test, 秩和检验
" K) `" W5 ^4 m" U/ D$ L6 K( KRank test, 秩检验& k, {- p% `5 l8 O& q# a( A$ v
Ranked data, 等级资料! R3 R' w8 i. J, {6 O0 i
Rate, 比率
' L4 ^3 ^. H$ a+ P' WRatio, 比例4 o K* d. H% F4 k$ a
Raw data, 原始资料
* D# p, l; U" |Raw residual, 原始残差
& k/ T9 J r* r% K* o CRayleigh's test, 雷氏检验% h) p) p) h) \4 U) k8 p
Rayleigh's Z, 雷氏Z值 ' o* c; @- x6 V/ ?8 h
Reciprocal, 倒数 y* F( F4 Y/ A6 ?. a0 }7 w+ U9 k
Reciprocal transformation, 倒数变换
: a2 Y; r+ t' y% b3 fRecording, 记录8 j: p1 k" N! K# I. H
Redescending estimators, 回降估计量
* @5 d% F7 \/ _/ c& \2 UReducing dimensions, 降维
$ [ v- K8 r7 \Re-expression, 重新表达
" T' W! X8 | m# M9 BReference set, 标准组
, i/ S0 J/ v) ]Region of acceptance, 接受域+ s! _9 V3 d, P7 U
Regression coefficient, 回归系数
# u. E o" S9 D+ [/ s) {9 W* k8 @ TRegression sum of square, 回归平方和
9 M; h; [2 f" J2 ^Rejection point, 拒绝点" p" x6 G" i8 @5 d+ z
Relative dispersion, 相对离散度5 r, z; H# O) c3 B9 \4 D" a* U. {
Relative number, 相对数- U; \2 R/ Z& A: p( O- p
Reliability, 可靠性* C0 [1 v( l- G
Reparametrization, 重新设置参数
. c9 e* L, @4 p5 Y- ^* GReplication, 重复' Z% N: @# x3 d( B0 }* h
Report Summaries, 报告摘要2 Z* z! l: m/ `
Residual sum of square, 剩余平方和5 O+ D& H4 f7 C2 G o
Resistance, 耐抗性$ M# ~% R: `" X. W
Resistant line, 耐抗线
# F- y& J. y4 l! C; u; ?Resistant technique, 耐抗技术
& B/ M! V- a, zR-estimator of location, 位置R估计量
+ [. P6 Z2 P* I! JR-estimator of scale, 尺度R估计量
$ x8 \6 [0 [. XRetrospective study, 回顾性调查
. e3 M7 Q/ j+ a/ `( {& s6 X( E. cRidge trace, 岭迹
" |7 c0 L& L2 a9 K' `% p$ o* hRidit analysis, Ridit分析 S: n8 K: ?: m V) S. m
Rotation, 旋转
' Y% M% X4 r" }Rounding, 舍入/ }! |( ?- r; J" n0 E" w! V
Row, 行/ K6 e( z" ]1 `, X! B7 X2 `
Row effects, 行效应& S6 {9 @$ c4 n2 m
Row factor, 行因素0 B7 c3 D5 Y# B0 m
RXC table, RXC表; G3 \( S1 S) S. y+ q3 X: B) J
Sample, 样本4 y, N j6 G& [% ?8 D
Sample regression coefficient, 样本回归系数% i) l# R' n6 C- j
Sample size, 样本量
- T% d! t, r2 n. O& D6 GSample standard deviation, 样本标准差
, N. _: F0 `" D. hSampling error, 抽样误差4 g9 J' r; K. V0 \" z
SAS(Statistical analysis system ), SAS统计软件包/ Z+ {/ h/ j$ a. x$ t: y2 D$ }
Scale, 尺度/量表
" B( \% K! d( R! k4 d9 }Scatter diagram, 散点图) a, V/ @8 Y& j8 K0 o% b6 h3 ?
Schematic plot, 示意图/简图
2 K7 D1 R1 |4 |' R* V- Q% XScore test, 计分检验
2 `6 i4 {; r) @! t( bScreening, 筛检% Q0 D8 l3 A6 \$ ?4 X5 Y, i) m' B
SEASON, 季节分析
' d7 Z* X$ ?1 j9 S8 FSecond derivative, 二阶导数
7 ~& u3 c' T) CSecond principal component, 第二主成分
1 l i' O$ q' N4 F* a& M4 xSEM (Structural equation modeling), 结构化方程模型
/ B; g& c* o. l* TSemi-logarithmic graph, 半对数图' k* e& @6 \7 j W
Semi-logarithmic paper, 半对数格纸
$ O0 h0 W' ?4 i4 L5 J9 |/ kSensitivity curve, 敏感度曲线5 Q' i$ }% x5 v( B2 [
Sequential analysis, 贯序分析4 |1 e8 P" j8 N9 \' B! y3 ~& c
Sequential data set, 顺序数据集5 y9 ?$ Z4 @/ Q0 X
Sequential design, 贯序设计
7 Y6 s) _' ], ]" ~; hSequential method, 贯序法+ d1 x1 E7 E- l
Sequential test, 贯序检验法
L9 p* \& f- c1 r( L2 NSerial tests, 系列试验4 o# [! [' b- W( e% }5 v- k* e$ \
Short-cut method, 简捷法
/ K# s6 G& m- @, U2 {3 w" H7 GSigmoid curve, S形曲线
# \- U& F2 p& C( oSign function, 正负号函数* z( H3 U5 J- F3 R9 J
Sign test, 符号检验
) g6 ]8 d" l$ f! cSigned rank, 符号秩
2 t. }) i$ p' r7 ]2 bSignificance test, 显著性检验/ S7 O# R5 x& {# r. W
Significant figure, 有效数字
. [! @9 k6 T3 p+ r5 D2 I/ Z# qSimple cluster sampling, 简单整群抽样
. _: `! w1 R* x, g2 WSimple correlation, 简单相关0 i; s# y: a" Z1 L
Simple random sampling, 简单随机抽样
0 k/ B4 y5 T2 E6 O* q1 g5 ISimple regression, 简单回归
& ~8 }* M% f) msimple table, 简单表
# J9 _* W6 C4 r) b' v" {/ SSine estimator, 正弦估计量
* n( ]! g! ^, {8 a$ RSingle-valued estimate, 单值估计
- u8 v5 n7 J7 C8 G u- r/ f7 JSingular matrix, 奇异矩阵
5 a2 Q* o2 E* v# F3 S) d' FSkewed distribution, 偏斜分布
2 P- Z: S! \9 v% lSkewness, 偏度( z6 S4 b8 A4 q1 ?% T! H. i
Slash distribution, 斜线分布
! r, ?9 b" h5 s3 w( VSlope, 斜率
1 r6 p: C' q3 U- Z: qSmirnov test, 斯米尔诺夫检验3 u" p6 l. S4 N$ i
Source of variation, 变异来源/ A3 K6 P0 `* E5 Y& l2 Z
Spearman rank correlation, 斯皮尔曼等级相关5 F3 k+ n% H/ }6 t& K5 p
Specific factor, 特殊因子7 }' O9 B! d" P6 w/ W
Specific factor variance, 特殊因子方差* {3 D W8 x5 U) c7 Z6 L9 [
Spectra , 频谱1 e5 i3 _! i; V v
Spherical distribution, 球型正态分布0 j" Y* k% ?" Q+ \7 T
Spread, 展布4 S% l+ W; S- X( }; `$ c/ L) G
SPSS(Statistical package for the social science), SPSS统计软件包1 `8 H& n. B6 m0 i' t4 F, Q% |/ g
Spurious correlation, 假性相关0 {4 g& Y0 Q/ ]3 F S
Square root transformation, 平方根变换" A6 P, R& p# V4 @
Stabilizing variance, 稳定方差
5 ]: v* h$ b7 W% i! |2 Z5 zStandard deviation, 标准差
: ]; a5 M) {! E4 S k* EStandard error, 标准误# o1 `1 d5 ^; @5 o3 \! V( S" U7 d' ]
Standard error of difference, 差别的标准误
( n5 \6 \& a# oStandard error of estimate, 标准估计误差
+ I. g5 ^0 r0 z- k3 }! I! YStandard error of rate, 率的标准误! ]- \. _+ B! {# V7 W) Y
Standard normal distribution, 标准正态分布6 p0 y" k: u; m
Standardization, 标准化
) ^$ s6 h3 _0 w) t3 @4 K' C/ kStarting value, 起始值
1 z% E$ e" k. d0 x# dStatistic, 统计量* t0 a3 N6 ]) X
Statistical control, 统计控制
7 R) W `: y+ V7 h1 YStatistical graph, 统计图2 G9 g: c1 {4 O0 R( L8 v' ], U
Statistical inference, 统计推断9 C# }* H/ q+ m3 a9 r( n& X; H. a
Statistical table, 统计表/ A9 Y# z! E$ h+ p1 D" N
Steepest descent, 最速下降法# L- O A3 E/ t
Stem and leaf display, 茎叶图/ d- Y% |( {- S/ e
Step factor, 步长因子( D. c1 a3 p! \1 P2 f+ k4 @( a
Stepwise regression, 逐步回归! @( Z# T) P, W% v$ J1 X6 G
Storage, 存
# A1 E* S- ?3 @% `% O4 L2 ?+ U4 hStrata, 层（复数）
. Y# S: B/ w# E. uStratified sampling, 分层抽样
. A+ z" p$ x7 }5 X9 `; T' L2 HStratified sampling, 分层抽样
( [$ P3 r* g" c, J6 o5 WStrength, 强度1 x' q5 N& j4 n0 ?" I2 |
Stringency, 严密性
6 @, Z& f& t& EStructural relationship, 结构关系" {1 [& z8 f F2 L$ A' X k/ K
Studentized residual, 学生化残差/t化残差
" |" G; K8 ]/ HSub-class numbers, 次级组含量 w; L0 Z1 l* t1 G! ^7 [+ z! t
Subdividing, 分割
& ]0 [% u3 e7 t( N. c& uSufficient statistic, 充分统计量
+ a& L/ \7 q: `, oSum of products, 积和; x8 J2 _" ~3 E' v" i7 p
Sum of squares, 离差平方和* O% q+ u2 C. ~/ G: n9 n/ \
Sum of squares about regression, 回归平方和7 d& v: l, F, c" H2 u2 Q2 v3 v- \
Sum of squares between groups, 组间平方和
E6 ` h2 s. q8 K; @Sum of squares of partial regression, 偏回归平方和
6 P! \/ N4 U: _7 c. K2 |% f, LSure event, 必然事件$ |& C" X0 T9 M% H$ s! R. v
Survey, 调查
. n( g; N" n8 N B0 m o7 ZSurvival, 生存分析
8 b) e) h- s& J3 x8 I1 g# L4 zSurvival rate, 生存率& G V. Z; X4 k( L
Suspended root gram, 悬吊根图
% Y; T& f6 b2 ?6 dSymmetry, 对称
% W1 Y! S9 i7 x2 e6 ]7 X( dSystematic error, 系统误差
, D& p4 k; o: l* G6 Z4 @Systematic sampling, 系统抽样. H E9 p+ `4 j
Tags, 标签! N2 c; K: Y$ `9 [2 [, q
Tail area, 尾部面积
5 X: B# ?) V% g1 g/ h P4 M: eTail length, 尾长
0 P& a! j+ x, K6 HTail weight, 尾重) ]" ?! E+ V: C5 g( P0 ^/ S
Tangent line, 切线: t8 I6 _3 X' T/ n6 [- a
Target distribution, 目标分布$ V. u; O' ?# D5 R
Taylor series, 泰勒级数
7 R6 J( l0 ^2 e# s9 G. E) Y6 lTendency of dispersion, 离散趋势, J/ i$ f# t J6 u3 u
Testing of hypotheses, 假设检验
+ c- ]7 q7 a6 O/ NTheoretical frequency, 理论频数# x4 \. P6 ^6 N/ e- `
Time series, 时间序列$ n h! d4 }& c+ A9 t
Tolerance interval, 容忍区间8 z. {- ]3 U; M' @& G, Q0 a7 O
Tolerance lower limit, 容忍下限
3 j0 `/ l9 A5 }. d& |Tolerance upper limit, 容忍上限
+ i3 t9 X: J3 I8 Q3 cTorsion, 扰率1 G% l {' S5 g" A9 ?7 s3 a
Total sum of square, 总平方和
7 Y! v6 g2 r5 I( X+ Q4 iTotal variation, 总变异
0 }' G% ~. [+ j7 JTransformation, 转换6 ^9 ?* r2 w! N9 j3 L
Treatment, 处理! z$ \5 [7 M# C! S0 G5 B
Trend, 趋势
9 u9 r4 O* z* V! }( P6 \Trend of percentage, 百分比趋势
) _8 p) D. h6 c- [; f% I2 _# N0 d* vTrial, 试验( [( ?, l+ w6 l, I
Trial and error method, 试错法
: z& T9 Q0 t5 _& w" v+ fTuning constant, 细调常数
6 e- ~/ \. `& e: rTwo sided test, 双向检验* t9 j M5 V* n7 o, W3 I0 f, ~2 ^
Two-stage least squares, 二阶最小平方
0 O7 a; T5 y" s7 b$ }% p1 i/ uTwo-stage sampling, 二阶段抽样
" j8 f8 x% R1 i+ \Two-tailed test, 双侧检验
! y$ Y6 I! i1 p, ^Two-way analysis of variance, 双因素方差分析( {) w% F6 d7 [, G u
Two-way table, 双向表
: u( K3 ?7 _! o6 t% bType I error, 一类错误/α错误
$ G3 Q( q: \/ J1 J1 Q% Z) kType II error, 二类错误/β错误
' ^1 s* C6 n3 O/ d6 H8 H9 |UMVU, 方差一致最小无偏估计简称0 q1 T6 k$ k7 W* P5 C2 J: n
Unbiased estimate, 无偏估计5 Z5 e: o9 a8 r( [2 @
Unconstrained nonlinear regression , 无约束非线性回归! G( Y! k) u+ n' k: d9 x! D
Unequal subclass number, 不等次级组含量- I7 p+ h4 ~, j4 n+ Y
Ungrouped data, 不分组资料
2 c; L8 | L9 v6 n0 _$ O9 ]8 O/ EUniform coordinate, 均匀坐标) ~% C5 C5 F' `7 t7 X0 M3 N
Uniform distribution, 均匀分布
: ~5 I" B0 w, f" ]/ V* E- a# zUniformly minimum variance unbiased estimate, 方差一致最小无偏估计" q( U+ V3 D+ h' y; {
Unit, 单元3 Z0 X: |$ z3 B4 g$ l# B! h+ f
Unordered categories, 无序分类, ~- ^3 O9 s3 |8 b1 c0 t
Upper limit, 上限
$ F3 O8 i, [4 n& A3 r/ T' G; OUpward rank, 升秩
" f1 h/ g% X( S C7 V+ I! P9 aVague concept, 模糊概念4 R3 O7 i/ `7 P
Validity, 有效性
8 A" {/ q6 o, h6 c+ I! H mVARCOMP (Variance component estimation), 方差元素估计4 U/ ^0 j& I% M0 x7 \' f( q M I
Variability, 变异性8 j1 A5 P4 R" `+ f; Z. J
Variable, 变量# ?2 k* V( H# Y K, }2 ]
Variance, 方差2 m* j7 @% c8 [# h/ O! U
Variation, 变异1 y% y$ b* w2 y7 J
Varimax orthogonal rotation, 方差最大正交旋转9 j* ]% m) O6 n$ g7 A& a
Volume of distribution, 容积
2 l5 G' g2 L5 P0 CW test, W检验' _5 `8 B N. D4 T& \7 h0 B
Weibull distribution, 威布尔分布
/ A5 L& \1 E& M4 a AWeight, 权数$ }# _. V5 \3 w1 o( J. D
Weighted Chi-square test, 加权卡方检验/Cochran检验8 V- k: `# t; B
Weighted linear regression method, 加权直线回归
* l" }# u3 H" Q( x& d, CWeighted mean, 加权平均数
5 D; _+ Q' {/ p) BWeighted mean square, 加权平均方差
. i" Y7 T E9 e7 f* VWeighted sum of square, 加权平方和
; Z8 n, i1 K. H5 [+ z7 nWeighting coefficient, 权重系数9 ?! [6 k# u# D# D9 |
Weighting method, 加权法 3 i4 w% e W1 i2 h9 E
W-estimation, W估计量
7 C& _7 e/ x8 u' Z. ^W-estimation of location, 位置W估计量" ^' @) t: @, V6 x
Width, 宽度. v. i% ~" z+ D, z: X
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
( s- u w% x' ?0 s& G& OWild point, 野点/狂点
" V# P: |7 u% ^, B; V: p5 [; DWild value, 野值/狂值
% y$ B" @" e3 Q; x% s7 ]Winsorized mean, 缩尾均值
( x# E. k8 j: v. UWithdraw, 失访
0 D" M, }2 ]' M T, cYouden's index, 尤登指数2 s) b' P" a; U
Z test, Z检验% Y4 T1 | I& J# K8 Z" X5 J
Zero correlation, 零相关
9 a( Y2 |; W$ {8 kZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
