|
|
Absolute deviation, 绝对离差
. [% T6 q2 S( j0 E# l$ F) ZAbsolute number, 绝对数
$ V0 {! [- n/ B" i8 M0 S7 `Absolute residuals, 绝对残差% p5 J, _+ |/ I
Acceleration array, 加速度立体阵
. s% Y+ M* d6 t9 S4 FAcceleration in an arbitrary direction, 任意方向上的加速度
6 ~* }2 L9 M1 U4 ?$ |% l% eAcceleration normal, 法向加速度7 }# g5 ?- ^7 R! M, |2 J# C( f; y
Acceleration space dimension, 加速度空间的维数; H! {& y$ p# t5 G! W: C4 Q
Acceleration tangential, 切向加速度
: x4 m! g1 b/ Y) JAcceleration vector, 加速度向量3 w* Z1 J2 O4 w$ M7 f' ]
Acceptable hypothesis, 可接受假设
, ~. ~0 K7 |( K, n( {Accumulation, 累积
* b# w q* d- _, O6 E g! C" nAccuracy, 准确度
; m2 M. g! n2 Q' E+ g" P" n- T' EActual frequency, 实际频数
& t* `; @. @! D: H4 x% a6 E: t4 i DAdaptive estimator, 自适应估计量# @+ e- H) O2 u; x3 w
Addition, 相加
2 h& {- w0 c k. G% V; K, K# AAddition theorem, 加法定理
; p9 F% @. |3 ^& RAdditivity, 可加性' y: I+ o+ a9 I
Adjusted rate, 调整率 ~' }) J9 \ J, _& ?
Adjusted value, 校正值' K& n3 t( k2 |3 N4 |+ u
Admissible error, 容许误差; {) v4 E5 {3 c
Aggregation, 聚集性0 ~' k- C3 C7 U4 I, U% }
Alternative hypothesis, 备择假设/ K: [6 o6 ]8 @. T: N) V
Among groups, 组间- C6 X9 G# U f5 M" p7 m
Amounts, 总量
" ?% a) d; [# s% x$ ^" c) mAnalysis of correlation, 相关分析2 A3 ? R% q- |$ J3 i- s7 s7 R& I
Analysis of covariance, 协方差分析
* N: j" \; g- E( F6 n+ aAnalysis of regression, 回归分析0 U, {& T3 x- v6 a/ L) E
Analysis of time series, 时间序列分析
* ~8 ^' f" C- RAnalysis of variance, 方差分析, ^) L/ [# N# c1 b3 k: P: Q, u
Angular transformation, 角转换- B5 c, A* U* Q3 f- x( B
ANOVA （analysis of variance）, 方差分析3 H$ a7 z' _/ }" U+ Z0 Z7 I0 R
ANOVA Models, 方差分析模型
5 {" @1 {0 q5 VArcing, 弧/弧旋
& ?) `1 z/ P3 N8 C, y' CArcsine transformation, 反正弦变换/ k( e: z7 f+ V- _9 z3 n$ T. `
Area under the curve, 曲线面积
- H2 q) i3 j3 z& R3 h0 J0 p$ IAREG , 评估从一个时间点到下一个时间点回归相关时的误差
3 ~" V u3 i4 e7 G; DARIMA, 季节和非季节性单变量模型的极大似然估计 5 s! j. f) h5 _8 A2 W0 n
Arithmetic grid paper, 算术格纸( |! L! L4 A$ S1 d
Arithmetic mean, 算术平均数
1 H$ m; N6 r9 b% F$ Z6 y8 dArrhenius relation, 艾恩尼斯关系8 D+ r, G$ m* w" {1 S* y
Assessing fit, 拟合的评估
) k ~' q$ S: KAssociative laws, 结合律
$ c7 @2 L, n& sAsymmetric distribution, 非对称分布
5 p# s* p: ]0 n; F6 T' p# Q" LAsymptotic bias, 渐近偏倚5 T, X/ S' H2 D6 ~% ?
Asymptotic efficiency, 渐近效率" R' Z' m+ B5 K0 Z1 {* ^7 v
Asymptotic variance, 渐近方差2 C7 u2 a4 x0 N* o3 b: S
Attributable risk, 归因危险度' v- Y* Z" q, j3 O
Attribute data, 属性资料! G: W7 s$ R1 ^: o# l$ U! T. H
Attribution, 属性
$ y G# v& O8 F& D8 J: `9 S& U1 _Autocorrelation, 自相关; E9 g4 g( j5 M! Q& C
Autocorrelation of residuals, 残差的自相关# N: u0 z0 h4 S" ?8 i# \
Average, 平均数
# I/ w: T( E1 c; @Average confidence interval length, 平均置信区间长度
6 d- y; \. ?2 c) ^! i: @/ hAverage growth rate, 平均增长率
: C( T* r8 x W, v/ Y4 S) tBar chart, 条形图5 k* c9 N/ Z/ X0 n7 u, g! [
Bar graph, 条形图, Z( d8 G0 C; f9 ^2 t3 z1 v
Base period, 基期
& |$ H1 K. j( i1 J4 {Bayes' theorem , Bayes定理
/ d4 n- T( B; T2 F# O, i& T% ?Bell-shaped curve, 钟形曲线
5 q7 Z" W( L% {3 w, P/ SBernoulli distribution, 伯努力分布$ P- ?! m6 x; w$ R
Best-trim estimator, 最好切尾估计量6 X0 G" }: Q1 v" K5 ?
Bias, 偏性
: A9 z2 E0 F! p9 \4 UBinary logistic regression, 二元逻辑斯蒂回归
7 z' J3 c. H9 t) ]; Z& kBinomial distribution, 二项分布
! Y# T7 Z9 A' P/ H& a3 SBisquare, 双平方
: Y l% j8 w/ ^; a, p3 m; S6 v( UBivariate Correlate, 二变量相关
0 x* T" x! O, Y5 i; [4 S& WBivariate normal distribution, 双变量正态分布3 ?1 N0 L" v- C# r/ U2 ~* K
Bivariate normal population, 双变量正态总体# O2 g3 f' Y- X" O( H% h
Biweight interval, 双权区间5 d3 B; T3 `1 t' F# T
Biweight M-estimator, 双权M估计量
$ D# G" V& H6 o# N; _: EBlock, 区组/配伍组1 n9 U5 g% L S3 D1 ? B7 h- x3 Y
BMDP(Biomedical computer programs), BMDP统计软件包- u& T( \: { z- z# ^9 \
Boxplots, 箱线图/箱尾图
: f9 H! N9 o! c% r5 RBreakdown bound, 崩溃界/崩溃点
8 L# r2 _% m. ]1 j5 g8 M" X ?5 MCanonical correlation, 典型相关
9 O6 J0 o; S2 F3 Z7 a* k5 W2 ACaption, 纵标目
- a' u5 M* u$ t p GCase-control study, 病例对照研究- W. u4 V. x% V& N* I
Categorical variable, 分类变量4 d' a$ _. v9 c) D1 L1 k0 @
Catenary, 悬链线
8 p# v' F$ M5 B# _Cauchy distribution, 柯西分布/ P5 ~% k1 R1 A! N
Cause-and-effect relationship, 因果关系$ g0 d% b. B) `5 }
Cell, 单元$ b1 j- j! n/ w( e
Censoring, 终检, f9 O; s/ l: I* |
Center of symmetry, 对称中心: n- c0 w) @6 B6 S5 O2 j
Centering and scaling, 中心化和定标2 R9 J. l/ b# }
Central tendency, 集中趋势* q9 S+ F* ^8 e' I7 f
Central value, 中心值
2 F" R7 G/ p5 BCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测: a5 c/ b/ u! S0 f, H
Chance, 机遇
4 y3 I$ A, m- C! Z% VChance error, 随机误差: l8 R$ e- V% u- ]
Chance variable, 随机变量5 M, ]* z) \; c+ |' t/ H
Characteristic equation, 特征方程' _) u+ T, Z# t9 N2 U
Characteristic root, 特征根
. l0 L2 D: A- ~1 B3 dCharacteristic vector, 特征向量, O6 b, y; D+ {1 a6 X
Chebshev criterion of fit, 拟合的切比雪夫准则; M* A$ |9 [+ z
Chernoff faces, 切尔诺夫脸谱图
, Z( p2 p- |! O: iChi-square test, 卡方检验/χ2检验
% q- T2 R' y" _& @0 T1 aCholeskey decomposition, 乔洛斯基分解" A: r9 z3 q0 C* j* M
Circle chart, 圆图
! }! |1 u* G: |Class interval, 组距* A( G: N$ P0 j/ M
Class mid-value, 组中值
7 S! i t1 A E( QClass upper limit, 组上限
7 J1 G0 L0 \( Y1 O5 c$ f: dClassified variable, 分类变量1 I3 o9 z% b/ F1 ^: T* g7 r
Cluster analysis, 聚类分析9 ], N: @. A+ z8 W+ h
Cluster sampling, 整群抽样0 p; n3 ? G% x0 x. o, q! L
Code, 代码
! E+ v+ K" a5 v$ jCoded data, 编码数据
3 ~" }" E+ I; s: p2 k; N; UCoding, 编码
& a/ z/ X' j! i* KCoefficient of contingency, 列联系数
; r* F: }9 d* pCoefficient of determination, 决定系数/ g7 |' X3 H6 w& V& I' N
Coefficient of multiple correlation, 多重相关系数4 y7 I5 ~, L4 X% t5 o7 ^9 E% j/ |
Coefficient of partial correlation, 偏相关系数
% w9 b( ~3 x. T9 a% ?Coefficient of production-moment correlation, 积差相关系数
' i9 U$ ]8 d; V2 u8 LCoefficient of rank correlation, 等级相关系数5 e: p3 J& e2 x( r2 r5 I
Coefficient of regression, 回归系数1 A! _: R% ]6 z+ \. K' f
Coefficient of skewness, 偏度系数8 Y" e5 B `% s9 s. z$ i
Coefficient of variation, 变异系数$ s* `( Y" k5 R* n8 b% v
Cohort study, 队列研究' l) ^8 o* Z: C0 ^; n' w6 R
Column, 列0 g# \( `8 F+ v$ X3 E+ ?. F
Column effect, 列效应. _ ~( W1 K3 _: b- D8 c
Column factor, 列因素
+ R3 Z# `1 G/ {7 E5 N) k% ECombination pool, 合并$ F" K, e3 S. B+ }4 o: t2 g0 [% g, A
Combinative table, 组合表$ v- a! v9 _% {4 X$ q
Common factor, 共性因子! t0 {- _/ ^; b" _1 m% n8 I
Common regression coefficient, 公共回归系数, y/ [) n+ r- Q {2 h( C
Common value, 共同值, G H6 i: W& a a3 l+ w; u
Common variance, 公共方差, X- M" z4 m6 c& X+ V" t
Common variation, 公共变异5 ^2 v+ E! V P7 R; ^: u
Communality variance, 共性方差5 N6 q1 G1 Q) ?4 M
Comparability, 可比性; m' \* W: D: O# u. ]% p
Comparison of bathes, 批比较
9 \- z4 l/ R1 x! b x" R0 ?Comparison value, 比较值) c' [8 Q) v$ F5 e
Compartment model, 分部模型4 l0 `$ ?8 v8 z7 W. J7 Q
Compassion, 伸缩- _$ ?; R2 \: u' j T
Complement of an event, 补事件
5 K- B& k8 b$ i+ v4 yComplete association, 完全正相关! R9 i$ E8 }6 E: b! b/ r1 t+ f( o
Complete dissociation, 完全不相关& Z" x; u+ M7 p; E* [3 F* `
Complete statistics, 完备统计量
, P6 Y. j: d1 \+ aCompletely randomized design, 完全随机化设计
n2 i% S( R9 w5 X6 B# lComposite event, 联合事件$ {! }" t, h" i' b
Composite events, 复合事件/ U" L5 S ~4 r" z4 h
Concavity, 凹性
- z3 q8 W# m3 a' ~4 n2 _Conditional expectation, 条件期望3 J( I$ c, C1 O2 I: n
Conditional likelihood, 条件似然
) Q) X! o5 ?, M6 V7 gConditional probability, 条件概率- u/ Y( I3 ^ |, G& y' E
Conditionally linear, 依条件线性
8 O! f1 I8 m) c% I6 P; Y! _Confidence interval, 置信区间, j' I- D! w/ \6 p+ e
Confidence limit, 置信限+ w8 S( a) A) M9 D2 i0 J
Confidence lower limit, 置信下限
6 k& {' o% {) B' T, V# x+ I$ hConfidence upper limit, 置信上限( G5 R( O8 S' a# P1 C
Confirmatory Factor Analysis , 验证性因子分析
. A5 E1 _/ h2 a0 g( FConfirmatory research, 证实性实验研究
4 k) K( W* c% M! d6 p+ }Confounding factor, 混杂因素. S# I0 P7 C% d( Z) v% X
Conjoint, 联合分析7 M, `; v4 X* X" i& [- w
Consistency, 相合性0 ~) L$ L4 U, w% X5 b- f
Consistency check, 一致性检验7 u8 y1 j- ?' ?1 H! n$ C
Consistent asymptotically normal estimate, 相合渐近正态估计0 x1 g) a; l* c2 G8 K0 V
Consistent estimate, 相合估计) {& D6 X; j+ F6 w4 M8 Q
Constrained nonlinear regression, 受约束非线性回归
& ?; G; b' e8 `Constraint, 约束
$ C+ H) q* N& {8 B9 rContaminated distribution, 污染分布
8 I4 C5 _* e' B. X# k, CContaminated Gausssian, 污染高斯分布
4 z0 i# \& d- E2 @- Z2 lContaminated normal distribution, 污染正态分布+ }& p8 K$ S* I% K
Contamination, 污染
" k0 F1 @) ^( lContamination model, 污染模型) R9 c" P4 \' N ]+ f8 I
Contingency table, 列联表0 U& A: F% X% G: a4 X' ?
Contour, 边界线% p* M( T! y& B$ ]# A
Contribution rate, 贡献率
0 Q. P/ ?6 G+ ~" k/ t( ]Control, 对照
+ ]8 B& z( i \* a6 S1 Y4 MControlled experiments, 对照实验% K& l$ `6 Z Q) e' Q& j3 Q* y
Conventional depth, 常规深度8 o0 N6 ^, ^/ @8 J& K# b! j
Convolution, 卷积8 Y; T1 m; k7 e# n/ H
Corrected factor, 校正因子
! m O8 U/ d4 c" ^* CCorrected mean, 校正均值8 Y& d9 `6 |5 U9 o6 k" y
Correction coefficient, 校正系数2 ?% q) v( ? b8 o/ p* _
Correctness, 正确性/ J Z# D! ?# w: |* r9 d
Correlation coefficient, 相关系数* o2 t& l n* } z" L7 X, P0 c
Correlation index, 相关指数
+ [ s( r1 |9 P8 S+ J* N! FCorrespondence, 对应
% X1 f4 f) J& ^" |Counting, 计数; W" I; R+ b0 G, O P6 c3 L5 {
Counts, 计数/频数* x8 z8 ], l2 ?1 F5 @5 V
Covariance, 协方差. O- A* E# X0 k& J5 ?
Covariant, 共变 ; u' t. t C; I1 w; k! `2 W
Cox Regression, Cox回归& F( b/ o& A: I5 ^/ }9 o
Criteria for fitting, 拟合准则
8 i# K6 M. e, F! u4 W. T- bCriteria of least squares, 最小二乘准则+ `8 C' i( {& f
Critical ratio, 临界比0 A n; }( m# W: {
Critical region, 拒绝域. @, P' _& P& ~, R; I$ y A
Critical value, 临界值
% c3 K: l6 a6 v9 eCross-over design, 交叉设计% b, z5 H7 z* O! O* p% w
Cross-section analysis, 横断面分析
* W0 u( G1 a8 K% P6 J, R1 YCross-section survey, 横断面调查
( e: m B$ A/ H$ D+ n: NCrosstabs , 交叉表 7 i- R" e. K0 U. J
Cross-tabulation table, 复合表
. I. o5 g' a4 v/ \. P" y w/ KCube root, 立方根2 _" ^5 n) b- \) C3 U9 A7 k% T7 S, Q/ R9 J
Cumulative distribution function, 分布函数
5 }" r a; [" `1 o8 x, W7 d' _Cumulative probability, 累计概率
$ w! K/ d, c6 ~Curvature, 曲率/弯曲
, A' t7 y: r7 w' k; V3 Q; }! eCurvature, 曲率
$ z" L: @/ U3 j$ S9 }% q) u. ZCurve fit , 曲线拟和
5 a4 k$ y5 v* XCurve fitting, 曲线拟合
7 Q+ f! Y& y, g& L- G+ _Curvilinear regression, 曲线回归+ o9 c3 E3 L5 V
Curvilinear relation, 曲线关系1 h6 u/ Y; Z8 Z8 e' s
Cut-and-try method, 尝试法
) \) Z/ g% ^4 {4 {Cycle, 周期
( ]6 Y0 P8 _+ F- O* a# i! CCyclist, 周期性4 D) n2 q+ e8 C
D test, D检验5 l x/ j" {' Z7 k" J
Data acquisition, 资料收集! ^4 i1 g$ L4 C, l' g% \
Data bank, 数据库
! X0 a7 z: P9 K" H3 w1 g- w! GData capacity, 数据容量
( b, g, \2 y I+ @4 H! {( ?; |Data deficiencies, 数据缺乏
' w8 d5 a0 ?% f7 ?8 A: o; |Data handling, 数据处理
) S c5 m* P- t _3 ~* Q; hData manipulation, 数据处理
3 X3 o# x* `% F p7 Z+ M) j1 e5 CData processing, 数据处理
; j3 c: V u" {0 }# h3 R. KData reduction, 数据缩减
7 b. ]) [+ r& T5 R9 XData set, 数据集7 r, @, t! V8 y0 M
Data sources, 数据来源5 v( F+ m& a* \0 B; k5 g
Data transformation, 数据变换
: f, z1 U/ k+ w8 JData validity, 数据有效性4 R" _. x! E* x
Data-in, 数据输入% Y* Z P: u( J( b% @% N! m0 ~% Z
Data-out, 数据输出: E' O3 p7 ^( X
Dead time, 停滞期
9 D* M. v& L+ O" q5 jDegree of freedom, 自由度- c3 P4 V" ~+ f3 g; c
Degree of precision, 精密度6 H ]4 }' N, E& _
Degree of reliability, 可靠性程度3 n" m% t5 ?8 c- ?: k" p
Degression, 递减 k8 `( S7 A7 N8 ?% s1 `1 _; Z3 Z
Density function, 密度函数
3 j7 N2 U9 F* g2 ?Density of data points, 数据点的密度
" t8 @& n) A3 B. D7 d+ [Dependent variable, 应变量/依变量/因变量
8 `' f4 k! o( eDependent variable, 因变量
2 ^6 X' L3 v, Q; WDepth, 深度
9 r% S* C. S1 MDerivative matrix, 导数矩阵+ N Z! E! `$ O$ H1 `& [
Derivative-free methods, 无导数方法* X+ K, d2 d( P7 K
Design, 设计
; Z, K0 U9 v" YDeterminacy, 确定性
; v9 K2 P$ R- P: y5 u nDeterminant, 行列式
6 r _, u8 \4 L6 p$ tDeterminant, 决定因素
$ n- ^0 M+ X3 n4 f0 _2 x! dDeviation, 离差4 B$ r& Q. [( r
Deviation from average, 离均差& B f! t/ n! Q& Q' D' \" K
Diagnostic plot, 诊断图 U0 t# p% _8 [
Dichotomous variable, 二分变量# G% x4 t9 x4 Q2 R N
Differential equation, 微分方程
& R' @! w" O- M, J/ xDirect standardization, 直接标准化法
6 e* U& d% t E: K; Z L# kDiscrete variable, 离散型变量2 d3 D5 X8 z. l L1 z, |7 W( J
DISCRIMINANT, 判断 # o# B* _; K$ I9 k! ?
Discriminant analysis, 判别分析* c! O7 M3 [3 ^* ~8 N! f' W$ s' f
Discriminant coefficient, 判别系数' G: P) C! D _3 M
Discriminant function, 判别值0 t. n' a* Z& |
Dispersion, 散布/分散度
! j/ S, Y. S) O5 Z- b8 tDisproportional, 不成比例的5 F& q8 ~% y8 X: V6 }9 p& u! ?3 g! Q) ?
Disproportionate sub-class numbers, 不成比例次级组含量
- W: n& L0 T6 B* K% m7 v `8 UDistribution free, 分布无关性/免分布4 d% ?7 c7 ]. Q% D
Distribution shape, 分布形状
& @2 Y" ~4 V7 a% m2 IDistribution-free method, 任意分布法2 |5 p2 E: x% P0 _
Distributive laws, 分配律
" }0 p/ f! {+ {1 lDisturbance, 随机扰动项
S( h- S& Z6 p+ b+ WDose response curve, 剂量反应曲线; b* z7 x. V; d" O; z/ ]
Double blind method, 双盲法
( t4 v* b8 U, k) v |Double blind trial, 双盲试验9 ^; l# F* L! E
Double exponential distribution, 双指数分布4 ~" Y; w& y4 h, k2 Z) {2 h$ S
Double logarithmic, 双对数: m7 X, U; i# u1 U. u! K) c
Downward rank, 降秩
% n: Z3 N! }6 ~& C7 ]" H5 cDual-space plot, 对偶空间图7 u1 @2 k* V5 Q N6 L T
DUD, 无导数方法- J5 U( _ q6 j, M" k$ t3 O
Duncan's new multiple range method, 新复极差法/Duncan新法# _# z: s; U, x% K. @% T
Effect, 实验效应
9 }' p% x# @- ~Eigenvalue, 特征值6 o6 o2 H2 G+ x( w
Eigenvector, 特征向量
: a0 G9 J2 I# s* T7 m% R }Ellipse, 椭圆( C N- ~% C+ I, B7 c7 K
Empirical distribution, 经验分布; ]% \9 w3 F |: _7 A
Empirical probability, 经验概率单位3 J8 n) w/ B0 X9 h* `0 ]7 p
Enumeration data, 计数资料3 p* L5 V+ C" V6 J0 G) {. C/ N+ F
Equal sun-class number, 相等次级组含量
. h9 C- r \1 ]" Q8 P; Y4 sEqually likely, 等可能
$ s! O5 I% b9 x4 ^) I$ dEquivariance, 同变性0 t3 W( U1 c1 d9 u
Error, 误差/错误
. q$ f! `" Q8 G1 `* H+ _; X; ZError of estimate, 估计误差
7 w! L9 q* G( p7 i+ lError type I, 第一类错误; O2 H5 a. {+ v; |5 D
Error type II, 第二类错误
( B! }( H, V) \3 e+ m& FEstimand, 被估量
! G6 V+ B+ s& @( K# V" K! f" N zEstimated error mean squares, 估计误差均方0 q9 k. @/ i9 c( s3 L9 N- }
Estimated error sum of squares, 估计误差平方和/ C% D ]) k4 f) n
Euclidean distance, 欧式距离! A3 f' z( b3 c9 [, w6 M" L8 P* b$ O( W
Event, 事件
4 g( m0 `/ C* N( W |Event, 事件
7 B: l% J- }' c2 JExceptional data point, 异常数据点
: J1 ` b/ q. y( GExpectation plane, 期望平面7 [) l! i, t" ~& {
Expectation surface, 期望曲面+ h+ b! h* \9 h
Expected values, 期望值3 W) H) a, R% Z. v% ?3 x' x" D
Experiment, 实验
5 W5 L' c' C- Z: _9 ]/ aExperimental sampling, 试验抽样5 A: i4 q: g, J, {' l' f
Experimental unit, 试验单位
- d4 l3 ]! j8 ]; a2 |( ~/ zExplanatory variable, 说明变量
7 R& c7 |2 V# NExploratory data analysis, 探索性数据分析# _8 _2 D) }# u( H
Explore Summarize, 探索-摘要! ?* M, Y- L8 r+ O
Exponential curve, 指数曲线
/ h, ? O1 v6 n; ~/ QExponential growth, 指数式增长+ h+ M2 l# |' v3 w7 j# Y
EXSMOOTH, 指数平滑方法
# j: X# p. o; _Extended fit, 扩充拟合( W4 p" F, `7 x/ B
Extra parameter, 附加参数
/ |$ Z+ E& g! T1 qExtrapolation, 外推法
2 s: I+ _. B4 o1 w+ u- IExtreme observation, 末端观测值
+ X9 d1 t. O) x$ ~' rExtremes, 极端值/极值, ?1 Y9 D- S& n. ~% `; h0 x
F distribution, F分布
5 Y$ ]8 E6 b, \1 qF test, F检验
; S F( B+ J8 d8 I: L/ {5 RFactor, 因素/因子
/ D2 P* x# K& D9 f- k) YFactor analysis, 因子分析9 _ _6 r) p" i- B `0 F A) @( }
Factor Analysis, 因子分析
, A, _( J5 H0 B& [0 j+ B4 kFactor score, 因子得分 : G' z! Y. l3 u V" S
Factorial, 阶乘
3 l- o) I0 F0 U2 a, s: k( z' [& @Factorial design, 析因试验设计3 l8 ?* H g! G4 B, P/ L; a
False negative, 假阴性 B# ^& O$ t- l. v
False negative error, 假阴性错误6 _) t2 m j' X: c; J, F
Family of distributions, 分布族4 b U4 B, \1 w- `5 Z! K6 \$ }
Family of estimators, 估计量族
3 o$ X7 d( r+ T: @/ IFanning, 扇面8 A. O: s4 @! b& I/ L {9 a
Fatality rate, 病死率: D1 k. D5 b& a2 b: P
Field investigation, 现场调查
# H+ s! o: Y, \1 cField survey, 现场调查
7 N9 B$ m% b K$ B! CFinite population, 有限总体
) Q9 N0 ]% Y( p- |# @Finite-sample, 有限样本+ p' Y$ ?7 j( O6 B
First derivative, 一阶导数! E1 g& w5 [* u F0 B0 e- T; X" ]
First principal component, 第一主成分% f2 h0 M; g- `# h
First quartile, 第一四分位数
D% c3 I% v/ l9 UFisher information, 费雪信息量
8 e6 }* g* d+ XFitted value, 拟合值& ?: b( E8 t0 Z# y- M4 g
Fitting a curve, 曲线拟合% {! S, M, E7 p. ^. H
Fixed base, 定基
4 P& g/ I2 x# z. aFluctuation, 随机起伏* u: ~! j+ z5 G. H4 Z) w: E
Forecast, 预测# @( Z, p2 V+ b# a/ E ?0 H4 }$ W, D
Four fold table, 四格表" w8 }% i% P2 S0 a1 H5 n- E
Fourth, 四分点
+ b! @ N7 N* JFraction blow, 左侧比率
. X! f V7 d( ~ t# u% H# MFractional error, 相对误差
, \; [4 `/ `( o7 IFrequency, 频率& k. e5 e: `; F
Frequency polygon, 频数多边图
# x! M* O" f+ j& b) M- mFrontier point, 界限点, W I/ C3 `7 D, A
Function relationship, 泛函关系
0 L) J4 D6 S2 H6 [7 Y3 j, ]# [Gamma distribution, 伽玛分布
4 B) I5 h( c. U3 F( N* UGauss increment, 高斯增量
U& ^# z6 i7 J+ x- E7 CGaussian distribution, 高斯分布/正态分布) ?! H# n' j+ M: C+ h( j, n: }1 V
Gauss-Newton increment, 高斯-牛顿增量
h! s( }7 {+ y8 ~General census, 全面普查; U7 Y1 b* {- G. d9 z8 ]
GENLOG (Generalized liner models), 广义线性模型
7 n7 z( a2 ?/ M0 k5 OGeometric mean, 几何平均数
& @! _& A3 D% ?' WGini's mean difference, 基尼均差0 z' k. W3 }0 ?6 c U' Q8 L
GLM (General liner models), 一般线性模型 * E7 {4 d3 a) C- T) l ]
Goodness of fit, 拟和优度/配合度
& W' e1 N! S$ P% f' i/ x" iGradient of determinant, 行列式的梯度
; S6 d5 A' l6 [3 ?9 X; ?2 C8 z3 {+ rGraeco-Latin square, 希腊拉丁方( ?+ |) d5 E8 p7 ]8 r6 m' z- S" p3 v
Grand mean, 总均值
7 a9 H8 U) i; [Gross errors, 重大错误
2 ^' n5 |7 O5 W7 V/ PGross-error sensitivity, 大错敏感度
) d8 x0 w* A8 l+ sGroup averages, 分组平均
0 L4 Z! Z! a eGrouped data, 分组资料2 e: t) J$ X% W1 k
Guessed mean, 假定平均数2 E. G- d) i, x" A3 |3 h$ u
Half-life, 半衰期
( i, F' m7 `8 S0 d& {Hampel M-estimators, 汉佩尔M估计量
3 o, u' Z" c" K, yHappenstance, 偶然事件
7 k2 Z2 ], o- i" j" j% xHarmonic mean, 调和均数
. P( o5 W6 T. i7 w$ b3 XHazard function, 风险均数4 n, L( ~( t2 i T
Hazard rate, 风险率" J, w! q/ D: ?7 u, l
Heading, 标目
9 O' e$ @( W3 U/ k) r& T* R6 Y0 SHeavy-tailed distribution, 重尾分布
- X+ ]* t ?3 G3 w, w' a4 t: c E' \Hessian array, 海森立体阵
, B% x: v) B) b4 ^: G0 JHeterogeneity, 不同质
3 P6 ^% Q7 L4 y$ P+ cHeterogeneity of variance, 方差不齐 1 X% v. V4 j$ C' ^* t% E
Hierarchical classification, 组内分组
9 d; ^, y( M0 X8 ~% OHierarchical clustering method, 系统聚类法
* z1 N$ j( k+ i5 J- Q3 y/ RHigh-leverage point, 高杠杆率点
6 `# z; X" _. F: gHILOGLINEAR, 多维列联表的层次对数线性模型
& @; ^$ X# U0 F0 SHinge, 折叶点; y. i* D8 d$ \8 n* a
Histogram, 直方图$ P2 n0 a1 x4 P( ~, {6 H
Historical cohort study, 历史性队列研究 1 U/ C' l) Z; ^
Holes, 空洞5 K! j% ~$ U# N& E+ }3 n
HOMALS, 多重响应分析
4 j) C2 F( M; q k3 H+ W7 o% gHomogeneity of variance, 方差齐性" J/ K4 v6 s7 G; ? W- K! } P- [
Homogeneity test, 齐性检验 I. u4 D: E& a( i5 f
Huber M-estimators, 休伯M估计量# s) F, y" I/ p$ D! @( u3 t K
Hyperbola, 双曲线
8 j. K f( X' p+ x6 IHypothesis testing, 假设检验3 Z' V$ \7 ~: |
Hypothetical universe, 假设总体+ ]/ U3 a; {9 y8 U; B2 J3 B8 `
Impossible event, 不可能事件5 X9 X- w) R3 N. L( J' Y
Independence, 独立性% q3 {* M- Q( N! X, L; w, t
Independent variable, 自变量3 P1 n) e7 X. q& Z
Index, 指标/指数
, r+ k" e3 B {. ^: WIndirect standardization, 间接标准化法
: K8 Q7 {6 d4 bIndividual, 个体
: }) \2 h _+ R3 U9 W1 qInference band, 推断带4 `* y! V4 i+ a4 z- |9 c$ H
Infinite population, 无限总体! U: l; p( L% [4 M+ o, w
Infinitely great, 无穷大5 I& M: ?! o3 X/ ^, T5 {/ }' C( O8 u* g
Infinitely small, 无穷小
f# s, y7 w7 o1 UInfluence curve, 影响曲线
, V3 J& ]1 t3 X3 B! }Information capacity, 信息容量
0 p) t( y( ~/ @# u$ [0 eInitial condition, 初始条件
6 x! B8 u3 B5 N! e, yInitial estimate, 初始估计值$ D* Y0 a0 s* b4 E
Initial level, 最初水平
# {. m5 \' S# |8 ~& Z$ IInteraction, 交互作用- @5 [& ^4 j2 j( ^7 Q: `
Interaction terms, 交互作用项" r5 T, d( w2 d6 X6 `' s5 x
Intercept, 截距1 V1 l+ z L, h( e4 u
Interpolation, 内插法
/ V* H) J, C1 K& K* M! F: o' MInterquartile range, 四分位距
$ o+ h. `* x$ SInterval estimation, 区间估计2 f U5 f7 R( ^" o# K
Intervals of equal probability, 等概率区间
4 `6 M- s" d+ s" t! ^Intrinsic curvature, 固有曲率
1 ]# V* B: {6 Y9 U& j/ JInvariance, 不变性7 R' w9 L% O9 Z* M- v5 A
Inverse matrix, 逆矩阵
. R7 i- c4 b( p3 m2 ^5 X3 S+ @Inverse probability, 逆概率" R% P& l( r9 ], \; y/ \
Inverse sine transformation, 反正弦变换
! ?* ]6 U1 K' N6 jIteration, 迭代
" g" t8 @, [& \Jacobian determinant, 雅可比行列式
, E0 \, J1 R7 \+ H8 Y% NJoint distribution function, 分布函数
% X- r: A' W' H1 _Joint probability, 联合概率3 `' H4 b6 M) P" r5 P
Joint probability distribution, 联合概率分布
0 J3 E& F' X( c- S$ X1 zK means method, 逐步聚类法
3 Q6 B8 c8 p- `7 jKaplan-Meier, 评估事件的时间长度
0 Q/ P8 |; _9 H. C0 M" F/ {Kaplan-Merier chart, Kaplan-Merier图. e. n% D {9 E o' \
Kendall's rank correlation, Kendall等级相关
0 y Q( b. Y3 j2 e7 V5 T; yKinetic, 动力学! J) a" s5 q, B+ ^- ]' A
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验% A F" P7 ^+ v( L" ]3 v
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
$ a& U" B5 j5 _- @' e& IKurtosis, 峰度
# | s5 X6 ]3 N: u. j/ J7 KLack of fit, 失拟
2 [& j- }9 }$ X% f. t2 ~7 GLadder of powers, 幂阶梯
/ D( N" |- Q8 w) K( [# _! HLag, 滞后( U, c* q$ h4 ?, Y
Large sample, 大样本
7 X7 z! T P" }) KLarge sample test, 大样本检验
5 e% n) e. \6 c5 _$ A- M! ~Latin square, 拉丁方- |$ v& x$ [* G+ c) H z
Latin square design, 拉丁方设计* q" m9 w( u% ~) B( o1 W
Leakage, 泄漏
& `; e# G, ^% w+ B$ FLeast favorable configuration, 最不利构形/ k& U2 x1 b n( U
Least favorable distribution, 最不利分布! K: ^1 J2 {2 V2 K
Least significant difference, 最小显著差法( H9 {0 b4 x/ z- P) A+ i
Least square method, 最小二乘法% @% }$ x5 k7 ]
Least-absolute-residuals estimates, 最小绝对残差估计
" H6 Y: ], Z4 t' {7 o* ~! DLeast-absolute-residuals fit, 最小绝对残差拟合4 e0 c0 j' ^3 m, u* Q3 W
Least-absolute-residuals line, 最小绝对残差线
3 c! B6 C+ I4 j6 r: ULegend, 图例" r8 Z5 e( x6 d, I
L-estimator, L估计量
2 ~- N( G, [2 D3 ~L-estimator of location, 位置L估计量9 s; k) e' F+ {; i" S
L-estimator of scale, 尺度L估计量0 F7 _4 V4 j$ n3 x# M6 J
Level, 水平
/ F/ e- f/ ^7 W0 S8 k- aLife expectance, 预期期望寿命
) G1 m. E$ g. tLife table, 寿命表7 G7 f) L! ~, h; G: w
Life table method, 生命表法3 i. B# R- T* O4 t7 F
Light-tailed distribution, 轻尾分布
" ~' q' Y0 X1 L+ @/ W/ Z( ALikelihood function, 似然函数
; b# H/ T; w8 tLikelihood ratio, 似然比
* h( g: \1 l; u5 ^6 \line graph, 线图+ ^1 D) k( g: Q" G
Linear correlation, 直线相关& C! D7 y; Q) J' ^9 u. r
Linear equation, 线性方程
! O( S+ L. s! w7 S9 |Linear programming, 线性规划
; J1 _- j$ A3 M$ {7 LLinear regression, 直线回归
( U0 ^2 C. P& I# `2 q" {Linear Regression, 线性回归 @3 S2 S) z- w/ w' B
Linear trend, 线性趋势. E g R0 Z! z
Loading, 载荷
3 E0 T9 n" }; _7 K, V* c3 M2 U" Q: jLocation and scale equivariance, 位置尺度同变性. T3 f2 Y0 M0 D, c. n
Location equivariance, 位置同变性2 k5 T3 m2 P6 T& d; Z8 n8 @& C
Location invariance, 位置不变性( I! B5 M4 U( O2 ?
Location scale family, 位置尺度族
, E, b/ J$ }% S8 D5 [, i7 ^9 s dLog rank test, 时序检验 ) u; r: l7 m" q* k9 O
Logarithmic curve, 对数曲线
3 V! K+ A8 [8 ^, I. }6 b" wLogarithmic normal distribution, 对数正态分布1 W- T7 {- E, z( c( p I( ?
Logarithmic scale, 对数尺度
. n j7 f) U$ B1 J$ ]$ m; P$ fLogarithmic transformation, 对数变换9 g7 R0 J, V8 i, o, z
Logic check, 逻辑检查2 G0 S0 |- c: ]9 h$ ]" n
Logistic distribution, 逻辑斯特分布
: [6 l( M5 K0 M* G8 D2 {Logit transformation, Logit转换
7 E4 }# N b) P6 l: CLOGLINEAR, 多维列联表通用模型 8 V8 x. R) H! r
Lognormal distribution, 对数正态分布" X/ c1 l- [. |0 e/ T+ {; {+ n+ W+ B/ a
Lost function, 损失函数! o# W! G, h4 L9 q0 h
Low correlation, 低度相关2 ]- {3 k2 K$ p; V0 G
Lower limit, 下限8 s0 y; B) @. v5 F. u& a$ q8 e
Lowest-attained variance, 最小可达方差
9 j% u: U+ _: _4 v# ^LSD, 最小显著差法的简称
0 E1 n& Z, e# q3 N" z* ]2 w% }Lurking variable, 潜在变量! q3 w+ ?1 {4 {1 f8 @- ^
Main effect, 主效应" P/ c. o0 T" R* m
Major heading, 主辞标目
& J: U, v" k; qMarginal density function, 边缘密度函数
2 x! y0 M) Y3 h5 XMarginal probability, 边缘概率+ T! A- N' u# ?
Marginal probability distribution, 边缘概率分布; S$ c1 Z: k- c/ N8 ^3 y% j3 |3 G
Matched data, 配对资料
0 F5 b1 ~4 F4 M# ~/ M% e% AMatched distribution, 匹配过分布
, Z- z$ ` Z. y8 j* x; v2 YMatching of distribution, 分布的匹配0 v. F/ i. k$ D5 [% `5 a
Matching of transformation, 变换的匹配
% l! `% X* r+ A% kMathematical expectation, 数学期望
8 ~2 u# \. U n/ [2 bMathematical model, 数学模型& w$ L; n L0 r& e% Y9 D& w
Maximum L-estimator, 极大极小L 估计量
9 M- j# H+ A1 q UMaximum likelihood method, 最大似然法/ }9 i1 r8 s6 s7 S
Mean, 均数7 H( \, S5 n* W
Mean squares between groups, 组间均方0 |1 G) C: b" E1 S, E9 R' K( c+ |
Mean squares within group, 组内均方
5 d+ a! I% Q, o8 f7 M, H2 h0 aMeans (Compare means), 均值-均值比较0 B g0 b8 v: n7 c
Median, 中位数/ i7 w( H1 W" q7 [. w$ j, g
Median effective dose, 半数效量
5 K, S+ ]1 I" e+ y5 ]6 f# B, hMedian lethal dose, 半数致死量
{2 x9 j! C' W" MMedian polish, 中位数平滑" ]1 @; r+ f6 c. U: C( t) ]4 f
Median test, 中位数检验
1 u& g2 a9 v6 L# a- N- xMinimal sufficient statistic, 最小充分统计量. i& F+ C! P: H9 l4 N3 R! \
Minimum distance estimation, 最小距离估计" c$ F$ h; y3 p1 s2 N
Minimum effective dose, 最小有效量
% i, ~& k+ m3 ~- |Minimum lethal dose, 最小致死量
/ a r6 s+ V/ W8 y' I HMinimum variance estimator, 最小方差估计量9 z, U3 r8 {8 F/ |, p
MINITAB, 统计软件包
. V ?8 `9 L5 _Minor heading, 宾词标目! m2 z' `% r7 S3 D4 ~2 F6 I
Missing data, 缺失值
/ ]0 R; x! a: X8 R' hModel specification, 模型的确定# U' N' o8 R0 G; c4 z- o/ B
Modeling Statistics , 模型统计2 d- Y/ q7 ~1 S* ]
Models for outliers, 离群值模型9 K& ^: q l" y+ `' s& v
Modifying the model, 模型的修正
) ~' z5 Y* |: {$ c+ U! p* rModulus of continuity, 连续性模" u' ]2 h2 c8 c# _( S* U3 ?8 I9 I
Morbidity, 发病率
3 P! r. B: {8 O! f$ RMost favorable configuration, 最有利构形2 q( T. o' a! f0 U4 Q( E/ a3 ^
Multidimensional Scaling (ASCAL), 多维尺度/多维标度6 a8 U. [" ]" b
Multinomial Logistic Regression , 多项逻辑斯蒂回归
# l3 o' y( o! `3 { j8 [Multiple comparison, 多重比较
2 @7 t! O+ t% k5 d# [Multiple correlation , 复相关3 Y5 B j0 {6 {% _
Multiple covariance, 多元协方差
) a1 B$ u, q8 z$ Y jMultiple linear regression, 多元线性回归
1 W2 B7 G" _, i/ [Multiple response , 多重选项
1 Y3 O2 q' B7 |) ?) o: ^1 O. _; g. MMultiple solutions, 多解
; r E- D3 B8 {& a# J9 a2 I( sMultiplication theorem, 乘法定理
0 ^( A9 F- K$ S( T% t" [1 L) aMultiresponse, 多元响应
' x( v3 |, E% U/ t. `4 DMulti-stage sampling, 多阶段抽样
/ p. Z/ _3 i& L1 l0 f' j/ CMultivariate T distribution, 多元T分布
`1 {7 a @9 p" K+ @$ r% m2 [+ E6 ~/ kMutual exclusive, 互不相容* ~; m$ {; G8 {
Mutual independence, 互相独立
: l2 G$ g% w! w' Q8 T, t! hNatural boundary, 自然边界
- Q* y. u( s' B7 T* s- I- B0 Q5 G' ^Natural dead, 自然死亡! N- C2 r) m; Q: L: b: P! n6 R
Natural zero, 自然零
$ [2 [: i5 q1 o3 b- ]( K4 uNegative correlation, 负相关 a* {9 ~) K; V
Negative linear correlation, 负线性相关' r9 R! O( N/ v# E2 O8 {
Negatively skewed, 负偏
& Q9 C! t' S( r$ x0 p. |; k1 {# KNewman-Keuls method, q检验
5 X9 N8 b; g% [+ ^) m# cNK method, q检验
. j* [! l; D! {No statistical significance, 无统计意义
7 j2 e& V& h c/ H7 @" K! qNominal variable, 名义变量
! M3 V6 R. f4 Y# GNonconstancy of variability, 变异的非定常性4 l" E9 d" y+ _# i; h
Nonlinear regression, 非线性相关
. v8 N0 h: T& c* l. ~Nonparametric statistics, 非参数统计
i/ ?# X! [' L. nNonparametric test, 非参数检验* V" p% T! ^7 |
Nonparametric tests, 非参数检验4 H# \. V u' R4 o( j9 ]4 |
Normal deviate, 正态离差
, k9 `# i6 d5 b1 nNormal distribution, 正态分布, T7 ?& ]: j4 l& v8 G; t
Normal equation, 正规方程组
; L- Y) B5 u! m( w" @8 |Normal ranges, 正常范围
- I$ G( k( z1 f. kNormal value, 正常值
2 ]/ |/ {/ a) Q9 g+ i2 @Nuisance parameter, 多余参数/讨厌参数4 x! O% X7 t9 b# U: R! C
Null hypothesis, 无效假设
8 S9 m3 U9 R \Numerical variable, 数值变量
( X' J! j) b3 ]6 g. h# TObjective function, 目标函数
6 ] z! [% W: v4 o5 A4 XObservation unit, 观察单位% G' W! a! T0 x+ N& g
Observed value, 观察值, K7 O( t ~" P+ A" z1 e
One sided test, 单侧检验- d0 q8 @4 c Y
One-way analysis of variance, 单因素方差分析7 P2 h% Z# X! F: d
Oneway ANOVA , 单因素方差分析
% u, }) j+ s' j5 b/ B3 U8 pOpen sequential trial, 开放型序贯设计
2 F m8 H5 @1 G+ O8 [3 POptrim, 优切尾
) w* n; m5 [; G+ |- W' }; X) i; wOptrim efficiency, 优切尾效率* q+ ?) l, ?7 `3 q. A( K9 I
Order statistics, 顺序统计量6 ^8 ~, I4 N# v7 [2 h
Ordered categories, 有序分类
s1 j8 G" T5 h+ S6 C1 @) lOrdinal logistic regression , 序数逻辑斯蒂回归' H; J5 R4 x8 x K: \2 e
Ordinal variable, 有序变量 a% x0 _8 Q3 Z; B
Orthogonal basis, 正交基+ ]$ V7 v2 l" u4 ?. T3 \4 b' K
Orthogonal design, 正交试验设计
; @( n, n! }2 ]9 G3 F9 L. nOrthogonality conditions, 正交条件
7 b* c/ n% `8 a. {ORTHOPLAN, 正交设计
9 [7 X% L9 D" `+ w' d1 hOutlier cutoffs, 离群值截断点7 i; l5 `( o! J9 r/ L: ~% O
Outliers, 极端值. j5 ^7 m& T! F" a9 q
OVERALS , 多组变量的非线性正规相关
8 u4 I/ Q: v% \( bOvershoot, 迭代过度
5 k$ C' N9 r6 Q, }Paired design, 配对设计
- L" E, `0 g* U& m" b2 ?# f e$ M" y9 R% EPaired sample, 配对样本3 Y7 K. A( c! R: p( A" j
Pairwise slopes, 成对斜率
" ]: u, k4 r' c* S0 u0 yParabola, 抛物线: l0 t0 \1 W; N: X0 C S$ J7 A1 x
Parallel tests, 平行试验
* ]1 E1 f) e+ @. i" z* t4 U( N+ ~Parameter, 参数
* {: l8 P$ x* b, Q. ^Parametric statistics, 参数统计* }$ M/ q+ s( c+ f- C
Parametric test, 参数检验6 a, p5 E6 A) p2 }
Partial correlation, 偏相关
* I" u# M& K# o2 p9 l+ ]9 pPartial regression, 偏回归
8 s9 I. G- k8 g6 u( {Partial sorting, 偏排序
8 m! G7 x" W/ v- h$ |' jPartials residuals, 偏残差
4 _5 n3 t9 O; P6 j3 R+ g D. [' NPattern, 模式
' J8 q" b& O0 x3 D- [/ ?% m; ZPearson curves, 皮尔逊曲线
* M+ g6 `8 Q6 e. ?5 l1 U, EPeeling, 退层
5 J" z- J! T: t* x8 f* A' z& mPercent bar graph, 百分条形图
1 H) Z, N' j# y# @Percentage, 百分比
2 J ?5 L" Y; V6 F- {$ U- T2 p, QPercentile, 百分位数) i' Y" K) Z2 ~; e$ A! G* G. C1 Q
Percentile curves, 百分位曲线+ B w& |) o* s' M
Periodicity, 周期性
+ H; b) V# y( l9 K: gPermutation, 排列- ^, B% X4 ~. u. [: p( h
P-estimator, P估计量! R5 O& o# Z# r0 S
Pie graph, 饼图+ F/ R4 e% G2 v2 C- p; e9 d
Pitman estimator, 皮特曼估计量
! y, A4 `& g# k) P/ rPivot, 枢轴量, a4 q, s) a4 g: z% }
Planar, 平坦4 W" M- W3 f, q1 J/ n
Planar assumption, 平面的假设
1 g$ W/ ?# }3 ^0 L2 f: {PLANCARDS, 生成试验的计划卡. i% _( s: }! w! [3 D, O" w
Point estimation, 点估计
6 ]& ^" H, x2 q* \! z. IPoisson distribution, 泊松分布
, \* n: f) l6 A( W( u hPolishing, 平滑6 n" I4 G' @+ j2 W
Polled standard deviation, 合并标准差
0 G8 c0 a& H2 O2 p9 v/ b2 ?2 [" JPolled variance, 合并方差
- }9 l, s. _+ pPolygon, 多边图7 _' a' Q U. s# E v9 s
Polynomial, 多项式 h) `& M- O, R! _6 F
Polynomial curve, 多项式曲线
9 T7 j, R+ V% S+ DPopulation, 总体
+ N+ z( i8 X8 NPopulation attributable risk, 人群归因危险度
5 f4 ?( }6 u. c% j3 LPositive correlation, 正相关; o7 _6 J1 K$ z1 U8 I! q+ B
Positively skewed, 正偏1 v2 @5 }: l. C7 B" Z
Posterior distribution, 后验分布, \ \. e5 z$ Z. S- d- A
Power of a test, 检验效能
) [+ s1 e" s, n0 C k2 T5 }Precision, 精密度: T. @& B% ~; \6 q: S8 ~
Predicted value, 预测值, G3 |2 O5 y! |- s
Preliminary analysis, 预备性分析
' |4 w. L! {0 v% oPrincipal component analysis, 主成分分析
9 P- b6 Q: e; P1 @ `# l6 qPrior distribution, 先验分布
9 D% w. V& r+ G+ nPrior probability, 先验概率
( r1 t% d5 p. A+ P8 mProbabilistic model, 概率模型
) ~" B5 O) d9 [, v, _ F& }( Xprobability, 概率& y' C- E7 y H( F$ E# ]' s
Probability density, 概率密度" \! t! s# O* y% y/ p
Product moment, 乘积矩/协方差
/ |; a. O7 y1 j) mProfile trace, 截面迹图 g0 S# J6 D) \* M4 j1 f1 L) t) r
Proportion, 比/构成比
# H t/ K, ]5 l' TProportion allocation in stratified random sampling, 按比例分层随机抽样3 J" Z) ]9 p. N* |( o8 T ^
Proportionate, 成比例( V; H4 `# T0 h6 c: q& O
Proportionate sub-class numbers, 成比例次级组含量! j* c& h' ?5 Q: d- B
Prospective study, 前瞻性调查% C8 }$ P" Q4 K1 o1 _
Proximities, 亲近性
# }7 ~' r- }! N4 v/ |! W$ s! j! U+ VPseudo F test, 近似F检验* b# T J& F" T: P5 g
Pseudo model, 近似模型' s5 i6 c5 O4 D- d
Pseudosigma, 伪标准差& U# }9 _) K/ n
Purposive sampling, 有目的抽样' o7 J6 m U8 L7 |; n( b7 n" U3 y# Z
QR decomposition, QR分解: L2 w+ C* i+ J4 R
Quadratic approximation, 二次近似9 c1 E+ x8 i1 N& b. o- _
Qualitative classification, 属性分类$ B$ G! w6 Y# E( ?8 ^
Qualitative method, 定性方法
" L& x% Z7 k2 KQuantile-quantile plot, 分位数-分位数图/Q-Q图
( l$ z' n' m. l& c$ C/ |% k7 P6 JQuantitative analysis, 定量分析
2 |6 e) J. p3 l9 _4 uQuartile, 四分位数
" w6 I, \$ z( x, U( p4 B+ u- X# z* bQuick Cluster, 快速聚类
3 o* r. [; _& g9 ^3 H$ q- X" b; LRadix sort, 基数排序( w- I% n7 @) }) t- s/ B
Random allocation, 随机化分组0 ]! C& ^, y; l, p
Random blocks design, 随机区组设计
, d: U- V2 {( e. B# o7 p" Q, QRandom event, 随机事件
( @( x4 h& }8 E1 QRandomization, 随机化
9 O6 q4 j# g/ \4 URange, 极差/全距
6 A. C' `; w$ H( D5 v; hRank correlation, 等级相关% f0 m* V9 E% s& J6 y: E6 j. N
Rank sum test, 秩和检验9 A- \/ n6 b! Z9 M* P" X' w
Rank test, 秩检验
; T l ^, R+ ^: H% O# wRanked data, 等级资料6 M5 ~2 [$ T0 K0 \! r
Rate, 比率
5 r/ A2 ~; E2 Q+ q# ZRatio, 比例
( ^* X; S/ \1 T, [7 o/ I% q( |: y. vRaw data, 原始资料" X0 _ l7 x. s+ _' Z5 `/ B
Raw residual, 原始残差
7 Z, f, f. ^' B3 m9 k/ JRayleigh's test, 雷氏检验3 Z) {4 N, N1 c9 r0 s1 ~; l9 v
Rayleigh's Z, 雷氏Z值 ) n. Z5 I5 \ u( i2 w: t) m
Reciprocal, 倒数- m! `0 S0 w F2 C, `* L; p
Reciprocal transformation, 倒数变换7 h# z+ N: E( C$ O) c& {
Recording, 记录5 t. {# A* V( E( q; |) e3 ~
Redescending estimators, 回降估计量
; a# O0 ?7 d- }' u4 R2 x5 tReducing dimensions, 降维
; O* }- q1 e; L" _# Q0 U( rRe-expression, 重新表达; k& ~% h2 O- Y5 ~- ?/ v
Reference set, 标准组
- v2 t5 q! b$ C0 C' zRegion of acceptance, 接受域# M* u/ G: W& s0 s% ^4 u
Regression coefficient, 回归系数
I8 O! C" J0 d( u8 U' y3 gRegression sum of square, 回归平方和
% m2 r& L, C2 [+ P: _4 ~' y1 jRejection point, 拒绝点" K1 E w# ?9 K5 Z. k9 V1 I8 W
Relative dispersion, 相对离散度
0 o7 i" x3 b c e: Z0 t3 SRelative number, 相对数) [8 m2 v" Y2 C6 M. P7 s* g2 ^7 z
Reliability, 可靠性) c, J' o9 d+ g: r
Reparametrization, 重新设置参数
" z1 ^3 g5 J4 b- R2 A/ XReplication, 重复
3 ^' u2 ~1 j1 G% ^" M/ lReport Summaries, 报告摘要3 \2 w. i! }. \& v1 e
Residual sum of square, 剩余平方和
8 |( x# O" G; d& g8 G& W6 j0 PResistance, 耐抗性
+ z5 |4 G' V& j: l3 a, rResistant line, 耐抗线
( _% U0 Y) b9 C) b, J9 J/ }Resistant technique, 耐抗技术
' b5 l* b, t+ i" R" B2 Y, ]R-estimator of location, 位置R估计量
' n0 m7 }$ W' R( z+ f" J% K6 \R-estimator of scale, 尺度R估计量! u+ I$ Y3 u9 I9 P9 b: E
Retrospective study, 回顾性调查
8 [8 b7 V* I3 e+ kRidge trace, 岭迹+ G3 H+ e7 O7 N3 j$ w6 U, A
Ridit analysis, Ridit分析0 N) p, _7 C: B* C
Rotation, 旋转
$ g8 i9 @. k& C; vRounding, 舍入
& u7 n' y- s" h* GRow, 行
0 D( a1 B9 S7 a, ?9 YRow effects, 行效应
/ J# }2 a8 |0 S, ?+ v9 zRow factor, 行因素3 i1 m* v1 f5 u3 X2 Z+ U
RXC table, RXC表- u( Z! b3 [0 r& Z% z2 g4 k
Sample, 样本' D7 x+ f4 \, W- z7 K4 _$ R
Sample regression coefficient, 样本回归系数* s1 M6 E; v3 b% p" J6 I- ]9 l# k
Sample size, 样本量/ x7 K, J4 ]5 A, s- N) T
Sample standard deviation, 样本标准差8 `& b& ~8 H0 ]# k M; b& j& p
Sampling error, 抽样误差
. c+ @, ~ K. l& Y% b( S+ |7 ]SAS(Statistical analysis system ), SAS统计软件包
7 W. H- V0 V4 R4 m0 P! b$ a0 jScale, 尺度/量表
9 {, c9 {1 A8 I7 u& E/ mScatter diagram, 散点图
4 ` [$ C) T7 ]3 Q% gSchematic plot, 示意图/简图% w1 v5 E/ V5 u2 p0 z( F. K; Y
Score test, 计分检验- |# u! V5 [) j
Screening, 筛检% V% |2 m+ e3 h: @5 T/ q' n
SEASON, 季节分析 S: ^% I+ W9 {
Second derivative, 二阶导数
# W* A* U; D% x( d5 ~, qSecond principal component, 第二主成分2 {. ~( R ^% g A9 M, e
SEM (Structural equation modeling), 结构化方程模型 1 M# n2 _. G# s7 F0 |
Semi-logarithmic graph, 半对数图
6 M: l0 H: V$ U/ JSemi-logarithmic paper, 半对数格纸
; k8 D h/ Q& O! l5 OSensitivity curve, 敏感度曲线
. n- n# k" E! f2 z4 q& T. w8 d7 \& _# cSequential analysis, 贯序分析
7 n% N: Y- @# J5 g5 R0 ~, ?Sequential data set, 顺序数据集# c5 B4 W; D. V, t& N# h
Sequential design, 贯序设计
! i' _8 g W/ _4 PSequential method, 贯序法! y$ \+ h. k0 e! r" f
Sequential test, 贯序检验法
# B1 C9 X: u; p. I7 e- a& sSerial tests, 系列试验. a$ J+ N8 ?- P8 [' |
Short-cut method, 简捷法 & {9 ^ o* h4 s0 r/ V
Sigmoid curve, S形曲线
/ T' u! h7 C$ d$ q1 ]Sign function, 正负号函数. i& I5 J, E1 |- P; M# R
Sign test, 符号检验
! g0 `7 D, |: G2 BSigned rank, 符号秩2 L) v& L: p; [7 l" j5 K+ ` w
Significance test, 显著性检验) O/ q' p8 l ~7 z& u% K" W
Significant figure, 有效数字
4 \- Q. U S7 U( v% e/ B+ S# \Simple cluster sampling, 简单整群抽样6 ?& ~2 y9 p4 D7 f1 n8 _+ ~) ~
Simple correlation, 简单相关
6 m) l, s2 d" m e4 sSimple random sampling, 简单随机抽样
+ _& X+ b+ `& ISimple regression, 简单回归9 t) n+ h# U7 U: i2 B+ r
simple table, 简单表
! W V8 s# c) m( s( mSine estimator, 正弦估计量
: c. m, g+ K' w, bSingle-valued estimate, 单值估计( d. M& U! b! v" V7 X- f' o% F
Singular matrix, 奇异矩阵
( G; p( ^8 h2 T, `: |Skewed distribution, 偏斜分布6 W; n, h0 u9 x$ I9 U1 R [
Skewness, 偏度" ^+ O* Z1 L* k1 e4 l5 m, v5 c0 r; F
Slash distribution, 斜线分布6 T( [- \) ?% }5 q1 s
Slope, 斜率# m& ~+ R) D5 [9 ]+ n5 {% y. q9 Y: Q
Smirnov test, 斯米尔诺夫检验3 n) k' ? q8 }# J# k8 R7 o. {6 }
Source of variation, 变异来源
" o! h) n' k5 x! J; ^: \" s x2 TSpearman rank correlation, 斯皮尔曼等级相关
3 Y7 r% a3 k, H. xSpecific factor, 特殊因子) D8 n* _- Z% v9 j4 K
Specific factor variance, 特殊因子方差$ n3 A9 f5 l$ M; x. n
Spectra , 频谱
# W5 `5 t* n; Q% vSpherical distribution, 球型正态分布
9 N. [7 B0 j2 jSpread, 展布9 O" i$ ]9 p7 Z5 X* l3 A3 ?2 O
SPSS(Statistical package for the social science), SPSS统计软件包, J. I! B! `( G4 Y
Spurious correlation, 假性相关
) D5 b1 U2 [. ]9 ~ hSquare root transformation, 平方根变换* [$ j$ _& f( c# E! c) S
Stabilizing variance, 稳定方差
4 B- z% k l, Z! P% @6 GStandard deviation, 标准差
) K8 z9 f8 A- O9 l, LStandard error, 标准误
9 J h, h; h+ W+ t$ \Standard error of difference, 差别的标准误$ N% P4 R/ S" @8 M1 x
Standard error of estimate, 标准估计误差
0 L; X6 m1 U8 X8 \- CStandard error of rate, 率的标准误7 ~- C! I/ D0 G% m
Standard normal distribution, 标准正态分布
/ w$ K F8 t9 H# m; r8 `Standardization, 标准化8 n# A M- i2 ~) S: y
Starting value, 起始值
# z {; B% z* u% m5 k& E, mStatistic, 统计量
; X# T6 s/ y/ h7 I: K! zStatistical control, 统计控制5 v; _/ E+ ~' q8 }5 S& B9 Z
Statistical graph, 统计图
5 ~4 S6 d& b$ M. J9 [# c8 i5 ~Statistical inference, 统计推断
7 L7 S' m Y- h+ mStatistical table, 统计表
0 O+ s. P& O' ^( S! G/ xSteepest descent, 最速下降法
. h! a. H5 d" E* G+ mStem and leaf display, 茎叶图
, E6 A G) S; Q/ HStep factor, 步长因子
5 R, W# ^+ `/ M# M- SStepwise regression, 逐步回归
# ^# D% d+ M# SStorage, 存# J3 M% P: L- \$ b
Strata, 层（复数）' G! o' k4 B8 {3 q! j
Stratified sampling, 分层抽样2 R, S( G. D# s( B. i
Stratified sampling, 分层抽样
; D3 Y+ Y- s7 RStrength, 强度
' a; M$ n% w' l, g0 G& wStringency, 严密性& G: ~* G' Y: K/ ^, T7 m! i! ]
Structural relationship, 结构关系
# A- |& y* ~+ W% dStudentized residual, 学生化残差/t化残差
i; ^, e+ {2 j V _Sub-class numbers, 次级组含量: b8 u% f' A/ y
Subdividing, 分割
! j$ ^/ q9 B4 s; b* SSufficient statistic, 充分统计量6 @6 [3 T4 W% I" `6 Z
Sum of products, 积和
" ?- Y5 l0 B t1 X& Z( Z, `Sum of squares, 离差平方和9 y4 W$ @+ M+ d% w1 C0 C
Sum of squares about regression, 回归平方和- K* ]$ [5 d( @$ m" J# o" W
Sum of squares between groups, 组间平方和
2 j4 z: e5 o, i; m6 wSum of squares of partial regression, 偏回归平方和. m& Q* l4 h% Q1 L7 @! k4 W
Sure event, 必然事件$ x% z8 A1 H' X% C& T
Survey, 调查 n/ s3 K3 T1 E0 r
Survival, 生存分析- Z# q5 }6 b) c9 p
Survival rate, 生存率8 {) Z n! \6 r2 }( c1 s0 b9 z
Suspended root gram, 悬吊根图$ N+ J7 b2 h5 j" n. {1 U
Symmetry, 对称4 e4 Q% Z/ E9 `5 c- `4 }
Systematic error, 系统误差
9 h2 x! S- C6 x: r' e* mSystematic sampling, 系统抽样% a/ X+ o& e. m3 R9 W, z
Tags, 标签2 D0 Q2 N; `; p2 d4 M a
Tail area, 尾部面积
, i, E9 u# [1 p. E5 V& \9 ?Tail length, 尾长
! G& ] w7 B [Tail weight, 尾重; S5 c6 [9 b5 [- O% C
Tangent line, 切线
; @" x0 Y( Z8 W5 p4 {. lTarget distribution, 目标分布
/ n! r- t* e5 [6 jTaylor series, 泰勒级数
& j) b+ |+ V' w, xTendency of dispersion, 离散趋势
# t. e) K% P/ K$ [( gTesting of hypotheses, 假设检验
( J" q$ U* t I9 h. E! |% tTheoretical frequency, 理论频数$ S$ T5 c3 {* |! K4 F& @/ d; t+ ]
Time series, 时间序列4 p) q% t; ~+ i( d! }6 j
Tolerance interval, 容忍区间) c! e. B5 q7 B, B
Tolerance lower limit, 容忍下限
/ C7 z# B' K% t* V! \. yTolerance upper limit, 容忍上限% j9 s8 b4 v4 W/ d+ }+ ~
Torsion, 扰率- [* d7 P- y) A$ B! x
Total sum of square, 总平方和
8 M8 |) R/ {0 |Total variation, 总变异
! c2 w% Z! T" k+ f: nTransformation, 转换
5 @% t3 D4 q# ^Treatment, 处理
" G8 M! B) K' T$ C; n1 U. jTrend, 趋势' H' }$ v: V- h$ k
Trend of percentage, 百分比趋势
' R0 ]2 }4 K& w& i% x; Q! e% VTrial, 试验, G7 h9 F6 }( x- p# o
Trial and error method, 试错法3 H* r9 T, x8 L7 w8 d
Tuning constant, 细调常数$ t/ @, b' v- s& V; r) K& L: w
Two sided test, 双向检验. A4 I' G5 G- B: l
Two-stage least squares, 二阶最小平方6 Q/ f6 a5 y0 e- N( D
Two-stage sampling, 二阶段抽样+ c. }& M7 a5 J, s i8 }8 |
Two-tailed test, 双侧检验0 M/ l% Q9 i& X1 L8 o$ k
Two-way analysis of variance, 双因素方差分析
1 Z7 I1 `/ x9 G/ v' C% O0 o8 r; WTwo-way table, 双向表" V2 k4 T$ v+ E3 A% z
Type I error, 一类错误/α错误' n6 ?) o* l" ~& l- J
Type II error, 二类错误/β错误
( F* S) E+ f, _; |0 v8 ~/ CUMVU, 方差一致最小无偏估计简称
0 ~( e) |# t0 D! d+ c* OUnbiased estimate, 无偏估计
& U" v( {" {7 P/ u; uUnconstrained nonlinear regression , 无约束非线性回归0 o* h% O2 ^9 B/ I0 ^
Unequal subclass number, 不等次级组含量9 |$ X+ c; ~4 W
Ungrouped data, 不分组资料- T6 y, O6 d8 y
Uniform coordinate, 均匀坐标
3 I# F9 u9 k' W e; E/ j5 RUniform distribution, 均匀分布4 J% R; B4 l9 Z7 C2 T
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计5 o, X4 W) Z: g" e. o
Unit, 单元
/ e' U7 P4 x5 ?3 I. a0 bUnordered categories, 无序分类! T5 c. F% K8 S x
Upper limit, 上限
& C* }1 p7 M+ `0 ^# }9 g8 c9 dUpward rank, 升秩
9 H6 \( ` K" AVague concept, 模糊概念* O+ ^, X& X3 E0 b8 f
Validity, 有效性 z* ]' p" q% [! B/ j
VARCOMP (Variance component estimation), 方差元素估计
3 n4 X, |: x1 ?( @4 `) `- d- s1 `Variability, 变异性
# W; B* M7 _9 o6 jVariable, 变量+ g L' L1 F; |2 J% N% s( [
Variance, 方差
& ?3 L4 ^3 X# v, |4 t% XVariation, 变异
0 s# F/ D3 g7 @$ N0 |& Q4 y; {9 pVarimax orthogonal rotation, 方差最大正交旋转! z/ V' J5 [& T/ r8 C0 V) E; K4 D |4 o
Volume of distribution, 容积3 d1 |) {3 d% T8 ?
W test, W检验( _. i, s" ]1 T/ l: D
Weibull distribution, 威布尔分布' b- L6 [: N, Q0 W- f+ ]
Weight, 权数
* i( v, k4 z+ j) o4 A" v: H! kWeighted Chi-square test, 加权卡方检验/Cochran检验0 c4 ^( B5 J3 ]
Weighted linear regression method, 加权直线回归
) ^4 g+ \: V8 v0 [0 C6 kWeighted mean, 加权平均数6 `5 P4 v# T2 i2 [6 }8 Q6 G
Weighted mean square, 加权平均方差' k" H1 t5 l# m6 \5 m1 @7 J
Weighted sum of square, 加权平方和
~" s+ n4 R6 Z9 R9 DWeighting coefficient, 权重系数' b4 s, l: i0 q8 s$ N
Weighting method, 加权法 7 O7 j l. D8 S
W-estimation, W估计量1 I& T. k2 l; f
W-estimation of location, 位置W估计量+ V4 n) B( D+ W" A4 p6 q3 L$ x q
Width, 宽度
6 H- O5 I$ ~/ x& O4 a+ `# D& DWilcoxon paired test, 威斯康星配对法/配对符号秩和检验
' K4 _; D! B" X) dWild point, 野点/狂点
+ C- @/ T- ^: l) C$ X, E! \" O0 N' |Wild value, 野值/狂值$ \# { z, L6 b$ Q! ?, U
Winsorized mean, 缩尾均值! @& f$ D, s. H4 u( O C0 e
Withdraw, 失访
; ?& T% g" _2 i" S3 Y8 cYouden's index, 尤登指数: E: Z B7 O1 J2 S) h
Z test, Z检验! X4 o6 g! J( Y; p
Zero correlation, 零相关
0 D/ i# g) \7 r9 PZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
