|
Absolute deviation, 绝对离差0 L) s0 V& }! ?( b
Absolute number, 绝对数/ l1 ]& o Q4 c9 D: t) S7 e2 u
Absolute residuals, 绝对残差
2 }# T' g# {5 KAcceleration array, 加速度立体阵
+ i; i3 U6 `/ ?5 g# fAcceleration in an arbitrary direction, 任意方向上的加速度# N6 K$ k' e$ Q! Z+ V. N1 x
Acceleration normal, 法向加速度
4 C* m& N& R i' |+ |1 b) e' k$ AAcceleration space dimension, 加速度空间的维数) q/ c5 j7 d1 V: T& ?8 H3 q
Acceleration tangential, 切向加速度' R; Z! V9 O& C0 b( G+ d
Acceleration vector, 加速度向量3 w& i, P& S( e6 m$ o# z
Acceptable hypothesis, 可接受假设
- k# {7 c2 L: }7 ]8 MAccumulation, 累积3 f9 P7 L! O" K& }
Accuracy, 准确度
$ Y7 R8 p) l; rActual frequency, 实际频数- v; L K0 B: h# f. y/ g0 b
Adaptive estimator, 自适应估计量+ a8 e; F8 O, ^6 y7 _+ F
Addition, 相加
) h4 b7 t/ p5 p1 Y# o9 Q, c7 qAddition theorem, 加法定理
' P+ v! ]2 v/ Q* ?' B# ?& KAdditivity, 可加性: ?/ A1 M0 K3 Q# `6 E5 ~5 l' C
Adjusted rate, 调整率+ d2 }. Z0 R2 ?
Adjusted value, 校正值
9 L ?; k. X- }7 I/ b: c' y+ L2 UAdmissible error, 容许误差
3 r9 H. P) i. j1 wAggregation, 聚集性
* D( o% O1 D/ _9 F! |5 h! qAlternative hypothesis, 备择假设! @0 i0 v' H5 G* Z9 N
Among groups, 组间
, ]7 `4 d1 e5 r7 A: S+ F yAmounts, 总量) I$ q7 M# P# B- X4 L9 \
Analysis of correlation, 相关分析
; K. X8 m- F7 T8 \Analysis of covariance, 协方差分析6 d6 `8 \8 T R4 U! X4 @
Analysis of regression, 回归分析/ q3 ?1 r$ b3 y# Q& g( r
Analysis of time series, 时间序列分析
& \: C& F! R. E, s4 Y5 KAnalysis of variance, 方差分析
9 S! i6 c& i- L6 h9 b6 zAngular transformation, 角转换, \4 G4 d- ` K9 I9 p+ J& ~# N$ A* z
ANOVA (analysis of variance), 方差分析
" n. c. |! [% q* O7 VANOVA Models, 方差分析模型2 q' G8 |8 f" v4 t
Arcing, 弧/弧旋
- X' {9 R6 j: x1 q; |Arcsine transformation, 反正弦变换
0 b4 v$ \+ X6 q4 t: L8 _1 I. [% gArea under the curve, 曲线面积
9 j, D+ w/ s; D% w$ aAREG , 评估从一个时间点到下一个时间点回归相关时的误差
, s( p/ Y4 a! B4 g' t& x8 A# u3 xARIMA, 季节和非季节性单变量模型的极大似然估计 6 F" r: A2 S4 F: {9 a
Arithmetic grid paper, 算术格纸
$ D* F/ M5 v* ~; x# B; W0 R& `. ZArithmetic mean, 算术平均数/ \. p6 @6 u5 [# |
Arrhenius relation, 艾恩尼斯关系
/ u; `6 i; J" g. `Assessing fit, 拟合的评估% [# R) O4 g. n
Associative laws, 结合律) m% O* P$ b, w) g( G. f
Asymmetric distribution, 非对称分布
7 j9 P9 g5 w. F" i9 DAsymptotic bias, 渐近偏倚7 l" v2 z6 ^6 P2 y6 @7 ^
Asymptotic efficiency, 渐近效率 _5 _3 j' f0 y8 ]# B
Asymptotic variance, 渐近方差
9 E* i+ c+ Q8 i' \Attributable risk, 归因危险度, k& `3 N3 F, n A+ ^6 v' u
Attribute data, 属性资料
9 b. R0 b) Y1 ]/ r6 F& fAttribution, 属性# ^/ ?2 U! }7 s
Autocorrelation, 自相关
, _4 z% [$ C5 ~4 I8 KAutocorrelation of residuals, 残差的自相关
7 P7 c- i. ]2 h3 _6 _& R7 |Average, 平均数
# q0 Y( w U7 w4 mAverage confidence interval length, 平均置信区间长度9 R- O# ]$ S# c D
Average growth rate, 平均增长率
* r/ y% k2 R# E4 ?2 RBar chart, 条形图 P) ~, n4 a% Y/ `/ Q
Bar graph, 条形图
% A7 M5 d0 U5 e- f! J. F5 y+ p) \Base period, 基期2 A) N g( ~7 d; b- W
Bayes' theorem , Bayes定理. v3 M. l& _ C- y$ }/ G
Bell-shaped curve, 钟形曲线5 r) |0 ?9 t* ~0 r/ D0 U( {9 c+ c
Bernoulli distribution, 伯努力分布
* Y% t$ a7 M L$ n: g7 O" W! YBest-trim estimator, 最好切尾估计量2 W- l t [% j! i
Bias, 偏性4 D( K9 N0 a9 T( p$ w" A! m
Binary logistic regression, 二元逻辑斯蒂回归% J4 y q' [) m" o" m( j- t
Binomial distribution, 二项分布, P" u2 j9 [: g8 ]7 H- ?) w' c( t
Bisquare, 双平方
# U: y( D. B$ ]Bivariate Correlate, 二变量相关
7 v* b9 ^4 H0 T2 g, EBivariate normal distribution, 双变量正态分布
: f- [& ^8 @- c. v6 I2 SBivariate normal population, 双变量正态总体
0 X( R7 w0 J( |. `: `' j7 SBiweight interval, 双权区间- _$ E7 q# ]6 H7 F7 s
Biweight M-estimator, 双权M估计量9 }* [( F5 N1 l8 k& U3 T6 o
Block, 区组/配伍组
) {' ?: j, a9 [# l& D6 ]* u- PBMDP(Biomedical computer programs), BMDP统计软件包
- x$ C8 Y/ y* j9 I1 b$ {$ pBoxplots, 箱线图/箱尾图
: k' w% I* N0 F. ]( _( t' rBreakdown bound, 崩溃界/崩溃点
: c0 l* I. Z5 C" V+ n2 d. }& dCanonical correlation, 典型相关! h$ E: W. L$ A9 C% h
Caption, 纵标目& L: S) V* }3 d, P! j& n# g
Case-control study, 病例对照研究
/ r8 o1 e7 x) z# X( s4 o( [5 Y; zCategorical variable, 分类变量3 o9 Z% k4 @# L
Catenary, 悬链线
; }& q" v1 K6 c. Z* L; [Cauchy distribution, 柯西分布) G6 ?! f# C! J# u% j
Cause-and-effect relationship, 因果关系0 V% ~8 _' _' c/ }1 Q9 P# \
Cell, 单元/ K- p! A7 k% F& ?
Censoring, 终检( s5 C8 W/ {- }
Center of symmetry, 对称中心. E3 T( ~- U, {' y+ y
Centering and scaling, 中心化和定标9 z; G1 T5 W& `
Central tendency, 集中趋势- b9 w4 g1 ^, H7 U- E$ Z4 U5 L$ d
Central value, 中心值! {7 Z) Z3 r9 c0 f2 p
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
# Q: L2 ~+ m g0 [Chance, 机遇( {9 J$ _3 Y9 d1 t( Y: I
Chance error, 随机误差
& t7 e# A+ p9 YChance variable, 随机变量/ T2 l' w; r/ v1 A, y
Characteristic equation, 特征方程( I$ K+ s4 n7 a7 {% w/ p8 U2 e: L) K
Characteristic root, 特征根8 r8 T; C+ ` z- V: V7 V( H, v! S
Characteristic vector, 特征向量
, M% [4 b# Z8 a& w @Chebshev criterion of fit, 拟合的切比雪夫准则( B+ m# [' b0 z% I
Chernoff faces, 切尔诺夫脸谱图
) |0 h3 R7 x" p/ CChi-square test, 卡方检验/χ2检验
3 G; p& w2 {4 ICholeskey decomposition, 乔洛斯基分解
! A" j2 T3 P" k' }: k6 O' oCircle chart, 圆图 9 f5 J6 O. N/ K6 N) w- U3 E' n2 _
Class interval, 组距
) o+ C2 F7 ^; R# u+ U2 \Class mid-value, 组中值$ I( H; s* q, t" M$ b
Class upper limit, 组上限
0 [! F2 ]3 ^5 V" ]Classified variable, 分类变量% j5 E$ b1 g' i5 ]0 j u t3 X8 A
Cluster analysis, 聚类分析8 Y( X/ x# y- f& v, M
Cluster sampling, 整群抽样7 I0 h/ U a& I" u7 n# M
Code, 代码9 }7 b) k6 |# Y6 ]8 N# g7 g
Coded data, 编码数据; w; V0 `7 H% K/ M! g. p
Coding, 编码- D4 d7 i8 {0 I( V) }
Coefficient of contingency, 列联系数
, c( [9 a+ l+ Y- C: JCoefficient of determination, 决定系数
, y X: X% T2 v; eCoefficient of multiple correlation, 多重相关系数
* }2 q; C7 y7 X( mCoefficient of partial correlation, 偏相关系数 B S: `$ n2 d( U; ?; o
Coefficient of production-moment correlation, 积差相关系数
) V; F$ x6 l* w/ k/ `0 YCoefficient of rank correlation, 等级相关系数
. }' s0 ]9 o+ U# O' ^Coefficient of regression, 回归系数% C. Z7 r+ p- b# x
Coefficient of skewness, 偏度系数
2 ?( ~* T" u0 U' ]5 j; r* C$ _Coefficient of variation, 变异系数& H3 a, }& E1 K
Cohort study, 队列研究8 Q$ r+ G: X7 w& ?5 F k+ Z! A
Column, 列/ E* I/ O( W/ s0 _
Column effect, 列效应2 S* T5 j. i/ b8 L4 g
Column factor, 列因素* O: @, p w, } ?% i' H; P" d
Combination pool, 合并
& |3 k1 C7 b$ H% Q0 }7 {% |2 l) HCombinative table, 组合表
/ `; C1 ?9 N9 hCommon factor, 共性因子
( G/ U- ^' I, ^Common regression coefficient, 公共回归系数# U6 k- }* G1 \! O9 X
Common value, 共同值
$ q, O2 H' \- ^Common variance, 公共方差( l9 q+ r( y/ S: }" g% p
Common variation, 公共变异
9 C$ ^ [! A. c6 gCommunality variance, 共性方差' f6 H' G' y9 A: l2 h2 I" _- R
Comparability, 可比性
# Y' R+ c) \) S" n, n+ J2 [Comparison of bathes, 批比较
6 q! X8 D! t* J Z+ g7 U1 ^Comparison value, 比较值7 g8 N2 p) r0 \' y
Compartment model, 分部模型 ~! z5 P; B$ A7 `* k: Q9 j
Compassion, 伸缩
1 o1 c, Q5 E9 D/ u6 K9 bComplement of an event, 补事件/ _) m1 r' t7 N4 S; g: m: g* l
Complete association, 完全正相关
6 A; ?* b0 r! s( P4 BComplete dissociation, 完全不相关: m/ [) N/ U1 E' E0 o
Complete statistics, 完备统计量. s0 i6 a- N/ \* @6 t5 E% S
Completely randomized design, 完全随机化设计3 }( U, l1 c: @: p9 @
Composite event, 联合事件0 |0 D' J) C! ]* X/ |( O1 C* H
Composite events, 复合事件2 d/ o6 @! K, R. } y6 m% H
Concavity, 凹性5 z- Z% |; N7 }9 T9 e8 S
Conditional expectation, 条件期望
2 z7 X) _1 X: o3 O, B/ ^3 rConditional likelihood, 条件似然3 o4 B8 R6 y8 A& S; |
Conditional probability, 条件概率
2 R, J+ n. z y$ `" @7 JConditionally linear, 依条件线性
/ t* o$ {1 ]9 {8 l/ f7 P6 n* z- EConfidence interval, 置信区间
0 A6 A/ {- P2 R1 nConfidence limit, 置信限
3 ~: d( W$ p" l% F% r' SConfidence lower limit, 置信下限8 H& E1 T4 n, N3 A1 o. k2 Q" h1 a7 k
Confidence upper limit, 置信上限0 P0 X; T0 I* B3 j1 o
Confirmatory Factor Analysis , 验证性因子分析
& i& e1 N' O$ x5 w7 P5 ]2 {6 FConfirmatory research, 证实性实验研究
2 U. c8 L, z% K+ m9 _Confounding factor, 混杂因素0 ?- G3 v! ~1 t, |, U) q2 A! ]4 O
Conjoint, 联合分析
3 q/ w$ ^6 y" p9 b+ ~ l* ZConsistency, 相合性' W" d b! E; c# h5 p R* G
Consistency check, 一致性检验, b' {( N& k2 f% K
Consistent asymptotically normal estimate, 相合渐近正态估计7 q5 r% P- b4 j, L, R
Consistent estimate, 相合估计
; [8 M5 `- D v" ?6 Z; ]9 O9 sConstrained nonlinear regression, 受约束非线性回归; z( z, t/ |& x0 u* A
Constraint, 约束
5 @6 I" p7 i2 L( SContaminated distribution, 污染分布
8 o/ v; W! @3 F: v( ~Contaminated Gausssian, 污染高斯分布
( A! J- P; D4 G7 rContaminated normal distribution, 污染正态分布
& c+ ?' o0 M, C# N. X$ dContamination, 污染( [% a3 D( f0 x
Contamination model, 污染模型3 `( d% P4 @! H) c# ]
Contingency table, 列联表
' y8 d- l, A! }! K& D, V- FContour, 边界线
* z3 t) L- f' o3 W3 LContribution rate, 贡献率
( o! `2 w" V7 E9 h& ^Control, 对照- X/ x. f- p& M5 k6 N; e% x. F+ ^
Controlled experiments, 对照实验
, E4 B9 M5 f: O4 m7 SConventional depth, 常规深度4 Q& S e( |! \& e! B k$ l4 e
Convolution, 卷积. n8 c: l! i7 I. i
Corrected factor, 校正因子/ T- h5 g& ~6 p) @& ^" i y
Corrected mean, 校正均值9 {2 u& b! ^; H: j
Correction coefficient, 校正系数
" [ h/ u7 K% F9 R! _6 @8 n+ }Correctness, 正确性4 Z8 P4 D* u0 M& ^. S% C
Correlation coefficient, 相关系数1 M4 {7 T( |% M2 l. M$ V& i4 Z
Correlation index, 相关指数; r: y9 `& G/ j: ^% B9 Y) K! a7 M
Correspondence, 对应5 P9 ], y; x+ k$ V
Counting, 计数
0 d9 H# o# [' H8 DCounts, 计数/频数- L/ f' L+ z- l; v8 ?& M( `6 U
Covariance, 协方差5 j9 r; Z c9 \' q0 \
Covariant, 共变
* c$ w+ E2 Y, v( `2 R( J8 G* [Cox Regression, Cox回归+ _( V1 J, k3 t2 `
Criteria for fitting, 拟合准则: k4 G7 X8 a+ T
Criteria of least squares, 最小二乘准则
$ S, J6 ?. y3 b# q7 pCritical ratio, 临界比
! V4 ?" Z- j( }6 y: mCritical region, 拒绝域
$ L( S9 L6 `, w J9 V6 Y5 y/ x6 FCritical value, 临界值
" e, Y/ o$ V- P. DCross-over design, 交叉设计( u# h& m$ ]3 d) Y" J
Cross-section analysis, 横断面分析
2 l. n; A0 z- d& n0 ^Cross-section survey, 横断面调查
5 `& c- q j @" b3 s/ U4 dCrosstabs , 交叉表
D7 [, R! {9 p% \% E2 k: C4 sCross-tabulation table, 复合表
- E. ]* y. v/ }( F8 @6 {2 CCube root, 立方根
8 f& ` h# a Z C, @Cumulative distribution function, 分布函数. G# m# t- m- r
Cumulative probability, 累计概率
" n3 B' c; P* }1 c: K) q3 LCurvature, 曲率/弯曲% J: r; b& T; X
Curvature, 曲率
, g1 b' i* o( q3 b( oCurve fit , 曲线拟和
) a4 s; Y1 _+ s& D( rCurve fitting, 曲线拟合
! b# i6 ]4 g7 r$ F; CCurvilinear regression, 曲线回归& C* J3 t5 p7 {" l! i0 z# f2 `; U
Curvilinear relation, 曲线关系
' U9 B& s7 E7 L% QCut-and-try method, 尝试法2 B z& w7 l5 l9 O8 `
Cycle, 周期
" R6 \, @' U7 v# O' LCyclist, 周期性
9 a) L7 h% ]# f* j8 HD test, D检验
3 t5 P2 e( ~$ y3 s. _ ]6 `Data acquisition, 资料收集
. B2 X0 x4 D( k4 \Data bank, 数据库
6 Z& r4 D0 B; L# d2 U# ZData capacity, 数据容量
5 E, @4 M# P+ I4 x# F+ [Data deficiencies, 数据缺乏, A9 ?5 P6 j: s5 U$ ^5 z2 U! Y
Data handling, 数据处理& `7 T8 P! j# p0 v* W
Data manipulation, 数据处理6 B5 S3 l$ C7 x/ M2 z
Data processing, 数据处理8 ^# G* X$ j* U/ E) j6 Q. `" j7 ~
Data reduction, 数据缩减
4 y R# \# {; v& z; p4 W1 cData set, 数据集
! |; H8 S0 }& B8 f3 L& X VData sources, 数据来源" D& F9 w9 j( `7 \3 Y9 }6 ^ b
Data transformation, 数据变换
s. }% ^5 t* u+ h6 r# }1 E; b& ?Data validity, 数据有效性
+ x% E; a4 A6 Y* U8 ZData-in, 数据输入
. ]/ W3 d4 {: P x; _% cData-out, 数据输出
3 l" j' t- n5 ]0 x" ]1 M! ?0 hDead time, 停滞期
7 F5 Z- U+ d9 S: i% ?" r' ^Degree of freedom, 自由度- q& t7 [7 A/ \# |( w2 b
Degree of precision, 精密度
1 E4 ~" ]/ T6 \2 Y- fDegree of reliability, 可靠性程度5 E9 }% C2 X$ R8 @% w8 K" W
Degression, 递减
9 k* p; p! t3 n, v# F; gDensity function, 密度函数- J" a5 Y) p4 v I. K
Density of data points, 数据点的密度7 j0 o- ]! Q3 B, N& X: ^
Dependent variable, 应变量/依变量/因变量' T) i1 J% a- U# Z6 L4 B9 e+ ~
Dependent variable, 因变量
# K: F/ Z" \+ Q2 N! w3 cDepth, 深度/ k3 [0 _7 n8 N0 e3 G
Derivative matrix, 导数矩阵: q; x: ~) f8 x0 ]2 Q
Derivative-free methods, 无导数方法
$ [: t$ ~- |- H$ JDesign, 设计
- Y, k$ v- g5 L+ O4 wDeterminacy, 确定性/ H+ a( [( B- |0 |* p
Determinant, 行列式9 k! @& l6 f7 S) `) j
Determinant, 决定因素
$ A5 r' n2 y# o! mDeviation, 离差. a5 U' B, i% |8 F' j S" E, B
Deviation from average, 离均差( Q/ @3 b2 }4 e: ?
Diagnostic plot, 诊断图7 ]8 I4 s; x) L8 a' Z5 h& y8 f
Dichotomous variable, 二分变量; r) H( c+ k5 S# Y q
Differential equation, 微分方程
' y3 L' U* k( MDirect standardization, 直接标准化法* ~# x, E# `- T( P- T' e
Discrete variable, 离散型变量
( O) x7 ~' t- J4 ?& b* y( e7 LDISCRIMINANT, 判断
. b G0 B* S( Y/ G+ G9 gDiscriminant analysis, 判别分析
8 |# f$ E. K, bDiscriminant coefficient, 判别系数
! X6 b/ T n" t9 m {% K- ]; z3 _Discriminant function, 判别值/ G( V* h" i; |+ O
Dispersion, 散布/分散度
1 ?7 f( z' u( r2 ODisproportional, 不成比例的
5 i( F4 e6 P5 v H7 K3 n0 A7 z2 gDisproportionate sub-class numbers, 不成比例次级组含量
* n; p& ~, B3 b) }! PDistribution free, 分布无关性/免分布
: `, l0 f8 Y0 Y/ gDistribution shape, 分布形状3 g2 V( J6 t7 u/ Y
Distribution-free method, 任意分布法 A8 n8 |! |. m* P4 S) e
Distributive laws, 分配律
6 E1 s( |0 v8 d$ W+ P" A( X* fDisturbance, 随机扰动项# ]$ C) d, L; o- d- d
Dose response curve, 剂量反应曲线# c* t# v( g! R& R" q/ D+ y
Double blind method, 双盲法( L; }5 o1 E$ Y# x5 o' {/ P- m) d
Double blind trial, 双盲试验
% o% `; a4 n7 G# VDouble exponential distribution, 双指数分布 [; z& x+ q: X
Double logarithmic, 双对数
: Z; f J T0 s; ?+ [. H. D3 ^Downward rank, 降秩8 Q/ H+ B0 J% L) n
Dual-space plot, 对偶空间图
- v! p' j. T$ f6 b1 a2 `( j5 |DUD, 无导数方法
+ \ p9 {9 Z0 [' dDuncan's new multiple range method, 新复极差法/Duncan新法
/ g( l' K9 d- `' k3 X1 x+ cEffect, 实验效应3 Y9 G1 j b7 _ R# i! P% `
Eigenvalue, 特征值* f3 J$ @4 K& H# D# r: j, N% A
Eigenvector, 特征向量) b: O' f- q8 ]; \% U7 m$ a
Ellipse, 椭圆% ?2 `0 u/ _- C2 H
Empirical distribution, 经验分布5 Z: R% u* L i1 o5 T" W
Empirical probability, 经验概率单位
; d" g, g4 R; c2 T/ F5 @- S# dEnumeration data, 计数资料: R1 m" i5 B8 W" C T3 ` w
Equal sun-class number, 相等次级组含量
3 |7 Y3 }8 Y+ Y' X: o% M9 cEqually likely, 等可能
- _! K& C& Y% a7 rEquivariance, 同变性
' w9 c$ t/ i, j* r1 i! [; P8 V2 S. JError, 误差/错误" B6 x! W( N& w# ~* d3 o
Error of estimate, 估计误差
: B9 Y! l7 A) Y3 [; L2 V5 f0 hError type I, 第一类错误4 r6 i1 X( M" l) w4 [+ g
Error type II, 第二类错误# e4 J* Z+ X$ U2 |
Estimand, 被估量8 f/ r T" S5 l3 N8 Y8 h$ \# ?
Estimated error mean squares, 估计误差均方% `$ D7 [5 k3 t- T9 B- q
Estimated error sum of squares, 估计误差平方和& j6 W2 r5 }) r% C! E" F
Euclidean distance, 欧式距离: p- ?7 ]$ N r4 p
Event, 事件0 l" }, R; r1 n8 g
Event, 事件4 ]: n% K3 Z" ~# a9 g7 [
Exceptional data point, 异常数据点2 L& [- }# \# e7 N
Expectation plane, 期望平面% [! g/ k! c# [& _ f9 }% V% ^
Expectation surface, 期望曲面
/ N2 t! z: l% a" aExpected values, 期望值, y) b" K: h1 {3 H8 b, V
Experiment, 实验
' t5 M% e% ] i; w5 ~0 ZExperimental sampling, 试验抽样
6 [5 K) H2 ]$ h6 a/ N+ m( zExperimental unit, 试验单位
7 Z7 E( e% |) `3 QExplanatory variable, 说明变量4 o" @% |" q5 {+ F: X
Exploratory data analysis, 探索性数据分析
. ^- g0 x$ \( \' q d$ ^Explore Summarize, 探索-摘要+ T0 h% p, a. ~8 `3 W, _ @2 D/ U
Exponential curve, 指数曲线
8 d9 k1 n4 K# R& ` }Exponential growth, 指数式增长
4 p2 Q% f' }1 |4 j2 |EXSMOOTH, 指数平滑方法
) u/ s3 v& \3 }, g; nExtended fit, 扩充拟合6 y; W5 ^; V0 I' N. y4 X1 m
Extra parameter, 附加参数4 ^: S/ B! d1 H/ k: e* a, x. C
Extrapolation, 外推法5 ]: b# c6 a. A$ }* @
Extreme observation, 末端观测值
5 E9 M4 k T3 w; I# ^3 gExtremes, 极端值/极值* G, T- }% l4 X3 Q0 q) B
F distribution, F分布
: n$ W: E( r: ?F test, F检验( k3 y! @* l+ S3 a7 C
Factor, 因素/因子4 l! C$ w6 P! S! l. j
Factor analysis, 因子分析
/ Z% E5 P' C/ W4 f) i# fFactor Analysis, 因子分析3 ~0 m' b& x. ]3 u; Z$ }" F: }
Factor score, 因子得分
. a* b2 a9 {) Y( uFactorial, 阶乘
+ |, p. E( D$ V( |3 C9 b- t% VFactorial design, 析因试验设计
' S9 D+ [; Z( J" E \9 o% yFalse negative, 假阴性
9 p4 J5 G- I: A* b1 _9 N9 H, {False negative error, 假阴性错误, {$ h" T3 s/ D% _. ]" L
Family of distributions, 分布族+ W5 M& `$ V, l6 W- I
Family of estimators, 估计量族$ L4 v8 ?$ s# i5 I
Fanning, 扇面 w/ ?8 B* L- O3 N9 {( W
Fatality rate, 病死率
) H5 B' d7 ^! g7 D/ L- {# V5 iField investigation, 现场调查" j" w5 O! ~5 {. p5 `
Field survey, 现场调查
4 ?2 a& u# F1 UFinite population, 有限总体, u/ q; T5 l* M# y
Finite-sample, 有限样本
# x2 @/ S* Q' n, y$ u0 \4 T& I( H# aFirst derivative, 一阶导数
+ @! g6 x; h2 V# qFirst principal component, 第一主成分( c r0 V) K$ V6 ^% X
First quartile, 第一四分位数
% @ q7 R! E1 |Fisher information, 费雪信息量* c' R" w( L8 ]: k
Fitted value, 拟合值% E6 d# t+ E) {$ N1 ^' Y* l
Fitting a curve, 曲线拟合
4 i! Z1 J0 r- `7 v. c( A% IFixed base, 定基4 M U3 d8 k- L6 l# _8 G" O
Fluctuation, 随机起伏
6 ^- @3 I2 k: G( ]1 Y/ C7 e2 f- TForecast, 预测9 M! w* P/ }9 N* Z( H* v, s
Four fold table, 四格表
3 w2 }- I4 f- m( }# `% |4 mFourth, 四分点5 z' k5 g3 o+ W1 L! G1 D
Fraction blow, 左侧比率4 z' S3 ?3 Y7 t6 B0 \( p) V @8 D1 J6 b
Fractional error, 相对误差
" n8 P5 z/ Y* oFrequency, 频率& ?8 Y, j3 P$ @% ^; |' s7 |6 m
Frequency polygon, 频数多边图9 P5 v5 I+ v" {5 o. s! Y2 Z
Frontier point, 界限点7 q& M, |* ^8 r# H
Function relationship, 泛函关系# F8 ] K* s; ]
Gamma distribution, 伽玛分布
5 u. ?8 p. u' R( D8 O) q- bGauss increment, 高斯增量
. R0 G0 g6 F" i! ~; mGaussian distribution, 高斯分布/正态分布
2 @, }8 q* O8 a2 ~Gauss-Newton increment, 高斯-牛顿增量' @ R. Y2 O2 J6 |8 y" s
General census, 全面普查1 W1 l" ]& z/ x% q, Y ^) P; f; o
GENLOG (Generalized liner models), 广义线性模型 4 W+ ^5 U+ P9 |" l8 F2 n
Geometric mean, 几何平均数9 k: _- O r9 G0 E [" M2 g
Gini's mean difference, 基尼均差
* F: [# G9 o4 V% N2 }2 {8 s8 u2 ?2 `GLM (General liner models), 一般线性模型 ! ~- `, m9 B: T* g) ?- @
Goodness of fit, 拟和优度/配合度" Q# h: j. R7 W0 D4 A+ _: B1 j
Gradient of determinant, 行列式的梯度6 y; A. u |# _. w
Graeco-Latin square, 希腊拉丁方
, h" E* V6 C3 D" {% B& W ^, JGrand mean, 总均值
5 ?1 u) L- c- N7 K+ O aGross errors, 重大错误: s; I, q3 [. Q- \& f
Gross-error sensitivity, 大错敏感度4 M" A4 R2 ]" |9 O) D4 k: U- p9 V
Group averages, 分组平均
3 e9 n! f; g4 C: h8 m8 _' {Grouped data, 分组资料. ^: _/ x; F z' k3 v* i, V
Guessed mean, 假定平均数. M! @ {" Q# q1 e5 a
Half-life, 半衰期
0 a$ f: b0 Y! B: c" mHampel M-estimators, 汉佩尔M估计量+ L! ~, {/ I8 }7 E/ h6 W$ G
Happenstance, 偶然事件
$ _+ X" I, D9 q s6 U* zHarmonic mean, 调和均数5 b& E7 U5 I9 v; O; `, m4 S7 J* w
Hazard function, 风险均数
5 W: z# p3 H4 ~- u+ lHazard rate, 风险率# p) Q3 f/ s0 N1 S F* z* r4 q
Heading, 标目
! l/ y7 o% Y" `" G/ j1 KHeavy-tailed distribution, 重尾分布: f; X8 M% v/ M8 Y$ P4 S( @
Hessian array, 海森立体阵
$ b8 S. b9 p% h7 gHeterogeneity, 不同质
- [1 } U0 x5 LHeterogeneity of variance, 方差不齐 9 r1 ^! S: x3 S, u0 K
Hierarchical classification, 组内分组
* f* ~& p. q9 j$ [) T/ P1 x& ?Hierarchical clustering method, 系统聚类法# i, u0 O: i6 k$ ]1 z5 q
High-leverage point, 高杠杆率点
6 V( w1 M8 j: iHILOGLINEAR, 多维列联表的层次对数线性模型" T; w' V# A3 k5 ~
Hinge, 折叶点
3 W5 }" G% G j7 i6 a& IHistogram, 直方图) `) v2 b& s- s) |% c
Historical cohort study, 历史性队列研究
% I& w; B$ u+ j1 |3 l7 ]Holes, 空洞
1 p5 y+ Z4 {* i9 NHOMALS, 多重响应分析% o& c. U1 r+ \0 v' n- _
Homogeneity of variance, 方差齐性
) F2 _1 E8 A# u# O2 p& K7 F) d7 |Homogeneity test, 齐性检验 O7 V7 p5 F5 n1 I6 W
Huber M-estimators, 休伯M估计量3 M& J% d. a+ u% y
Hyperbola, 双曲线0 L- z- y8 _# S" D9 ~
Hypothesis testing, 假设检验
3 m- ?1 `" K' {, L( {Hypothetical universe, 假设总体% M8 O/ |( X, _+ ~, m) g
Impossible event, 不可能事件
% z1 p) }1 Y: lIndependence, 独立性
2 _2 Z: d& O P' G* VIndependent variable, 自变量6 T7 K- H8 Z3 c9 a2 O
Index, 指标/指数% W) g: r0 d( W$ L7 T
Indirect standardization, 间接标准化法( C- Y7 z b, I% _6 ]! e9 A
Individual, 个体( ?$ I4 p$ B5 g, v! }# y) ?
Inference band, 推断带
, {6 ^* b( u. U# ? GInfinite population, 无限总体
" O' M) i ~' L; N+ D, RInfinitely great, 无穷大
& i" ]3 C3 ]. G$ g4 eInfinitely small, 无穷小
+ ?- @: q) [" [1 M: m# s! j/ ^Influence curve, 影响曲线
0 H" {9 w9 I& f, p. {$ tInformation capacity, 信息容量' P' h) K+ v, O5 i
Initial condition, 初始条件
$ |' ~- R- v1 D( {0 U0 e! e6 P yInitial estimate, 初始估计值
0 X7 R9 t2 Q7 LInitial level, 最初水平
/ T% X/ s! f3 e" i: u. j8 ^Interaction, 交互作用
! J9 d6 k1 A" O+ _! dInteraction terms, 交互作用项: ?# e3 I# B: R+ \; u1 B
Intercept, 截距
- E' T: u+ v# b9 O( {Interpolation, 内插法) X; Y3 X; p9 r$ u+ o
Interquartile range, 四分位距& }1 x* j% I- H8 n1 H8 E" I% v( j4 `1 Z
Interval estimation, 区间估计3 P% x0 a/ o9 V( I6 D" s+ A: S4 d
Intervals of equal probability, 等概率区间" g5 R( b! }0 @; Y" Z( ]) U
Intrinsic curvature, 固有曲率
, @" h$ ~4 C& PInvariance, 不变性% @' T1 S! v% p$ Z# k2 Y- z: X
Inverse matrix, 逆矩阵$ R# E E3 K( b4 D, [
Inverse probability, 逆概率
' z* ^6 `5 N! A i! x qInverse sine transformation, 反正弦变换# {( y H6 W* u" {$ T
Iteration, 迭代 % T/ ~& k* B1 ]& O, t
Jacobian determinant, 雅可比行列式+ `% V- M4 u# J$ R8 J- ~
Joint distribution function, 分布函数
6 n" u2 V* t ?0 f/ }' wJoint probability, 联合概率
9 g- z- D. D! QJoint probability distribution, 联合概率分布9 G- {, S- {) O# V+ k
K means method, 逐步聚类法
2 A" R% X/ X% ?4 BKaplan-Meier, 评估事件的时间长度 ; E; ]5 g! k2 j& Q
Kaplan-Merier chart, Kaplan-Merier图
" n3 k4 n% O3 \+ x/ e: v1 KKendall's rank correlation, Kendall等级相关& J& ^! o+ ]3 P3 o5 M6 F
Kinetic, 动力学
: b) Q6 A, u( M' O# Q' Y7 b' a4 v6 FKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
$ _* _) B8 I- P' {Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验) M& f: [+ A$ N- P, X/ @
Kurtosis, 峰度, t6 z+ e$ a( h# L1 }; e
Lack of fit, 失拟
7 s$ q$ B1 O* JLadder of powers, 幂阶梯4 j2 [! ~2 \6 X/ \9 u% h P+ ?
Lag, 滞后
. h' |! V' Z& i+ ~/ F1 o9 S- K/ x3 V1 ILarge sample, 大样本
p# r% Q% g! ?; x7 X) k9 NLarge sample test, 大样本检验7 U5 }! D6 W3 z ]) a% D
Latin square, 拉丁方& x+ c! R0 j& m$ W: r) `
Latin square design, 拉丁方设计
9 ?# s( O3 v6 B" C7 w# KLeakage, 泄漏5 Q ^: ?: L- o, K* O
Least favorable configuration, 最不利构形( P2 |. ^0 b9 l
Least favorable distribution, 最不利分布
& E; h, H! J* z$ R5 w! _Least significant difference, 最小显著差法3 d" x! {1 x& B( b5 b+ K
Least square method, 最小二乘法, u$ X4 W( ^0 B7 v1 L5 s
Least-absolute-residuals estimates, 最小绝对残差估计
7 L9 E9 }8 m7 p1 V' t4 l0 q/ eLeast-absolute-residuals fit, 最小绝对残差拟合' @. U! f& ^+ o7 L% |4 l$ [' V( X
Least-absolute-residuals line, 最小绝对残差线2 H0 ~2 N$ z' t( c& M" _
Legend, 图例
$ U6 g; k) l6 E; QL-estimator, L估计量 T" e3 p% o) ]& s; x$ @8 o
L-estimator of location, 位置L估计量1 j* N6 ^$ j: |$ Q/ r" G; A
L-estimator of scale, 尺度L估计量
: {0 q4 T0 A& n% p7 N: KLevel, 水平
( x6 P- d+ Z' p; ?; ZLife expectance, 预期期望寿命! e. B- w5 P" f+ E3 T2 D
Life table, 寿命表( j D2 ^% a7 F- z, |
Life table method, 生命表法( O! w7 D. a: t# x( }
Light-tailed distribution, 轻尾分布( N7 u2 g4 z4 L1 t
Likelihood function, 似然函数
; `* a: k9 K9 H9 K) v5 w. hLikelihood ratio, 似然比9 ^% w; P s) a) w+ u7 N
line graph, 线图
6 ~2 l; G6 l& k, TLinear correlation, 直线相关) y4 r: E/ g5 P/ E
Linear equation, 线性方程' w) s/ H7 ~' H) |' ^
Linear programming, 线性规划
$ H0 d2 t; O8 o4 rLinear regression, 直线回归
, P6 V4 o' B4 t/ Q: V* eLinear Regression, 线性回归+ f9 O; ]5 b9 R7 n2 L4 C" G* S
Linear trend, 线性趋势) B9 E' r% d" F7 M" V" m5 n5 {
Loading, 载荷
* O, ?- m `" ~ PLocation and scale equivariance, 位置尺度同变性$ ^9 o4 K: @7 n" G/ _/ y1 O
Location equivariance, 位置同变性* P& x3 H% U" V* Z# d
Location invariance, 位置不变性3 X2 h8 w5 o! _7 [) ]/ U
Location scale family, 位置尺度族
- h) B& I! ~% J \. tLog rank test, 时序检验 , r8 t: r2 Z, N: t X- Y& I
Logarithmic curve, 对数曲线
]" I! } ?$ i9 g# ALogarithmic normal distribution, 对数正态分布
9 t* A9 N: X m; @2 c+ ALogarithmic scale, 对数尺度8 l' C1 j( T6 O. K- h6 |
Logarithmic transformation, 对数变换
) B1 F5 N. n! b6 CLogic check, 逻辑检查
0 ~( b5 _) }+ P% KLogistic distribution, 逻辑斯特分布% b, r: L- E- u$ U( u3 |+ C1 L# u
Logit transformation, Logit转换* J4 L; S0 s( Z/ t) C1 r. T: r) _
LOGLINEAR, 多维列联表通用模型
5 F- h, z! f& `6 s* r& X* ?Lognormal distribution, 对数正态分布
: D& E) r% H, a& o: SLost function, 损失函数
1 |4 Q7 X B+ b9 uLow correlation, 低度相关9 ?3 e, |" P! h$ T; G( M3 E0 p
Lower limit, 下限' _7 G1 N0 N9 V! d1 B* x
Lowest-attained variance, 最小可达方差9 [9 Z! T/ `6 ?6 C" Y; y
LSD, 最小显著差法的简称- d t1 m5 g3 {2 D
Lurking variable, 潜在变量
; c+ l! i& F# fMain effect, 主效应8 _6 M# s6 z6 z# L
Major heading, 主辞标目
" i4 n* e ?" n* w9 x' cMarginal density function, 边缘密度函数
: f0 x. \0 V0 OMarginal probability, 边缘概率% M" y# S2 \2 D! J" H$ \
Marginal probability distribution, 边缘概率分布
8 W/ P! R4 U# s1 o; eMatched data, 配对资料/ e8 `: E0 X- g8 }
Matched distribution, 匹配过分布
6 W2 Q, h7 Y9 F" X; J0 U5 EMatching of distribution, 分布的匹配
& g" D8 E* [& w2 o# |' ~Matching of transformation, 变换的匹配6 I+ Z! E. f9 @0 C2 @; r3 x
Mathematical expectation, 数学期望6 X. V4 g/ w* o5 O, w) P8 a1 |
Mathematical model, 数学模型, Y: T0 Q+ z$ Z8 r
Maximum L-estimator, 极大极小L 估计量
. a4 X- Y! |( |8 xMaximum likelihood method, 最大似然法
2 J2 z/ z1 h' m, L& i) c" p- VMean, 均数$ S) O6 T* ~7 V" h% Q
Mean squares between groups, 组间均方1 ]2 g) o/ D! J2 I
Mean squares within group, 组内均方& L# R g3 s4 O$ Q1 S
Means (Compare means), 均值-均值比较! e p' S$ |2 k1 j$ z
Median, 中位数2 L" V; @4 F8 a( ~
Median effective dose, 半数效量
1 v4 o3 I, ^$ U: m' W4 WMedian lethal dose, 半数致死量) C0 U" v" D0 H# C
Median polish, 中位数平滑$ e8 g/ l3 w' F) E1 W( M& x9 r. `
Median test, 中位数检验
( I3 B! \' x: f( ? S' I- a; RMinimal sufficient statistic, 最小充分统计量: w$ T# {% a4 d# H4 C* c' `
Minimum distance estimation, 最小距离估计9 Y+ l4 l; o5 G$ ]
Minimum effective dose, 最小有效量
1 c$ g7 B/ i5 M2 W- p& xMinimum lethal dose, 最小致死量% I# O6 b7 w5 h6 @6 G7 f$ E
Minimum variance estimator, 最小方差估计量- k L1 P+ `+ G+ i0 @
MINITAB, 统计软件包$ Z7 S9 w* t/ ]+ e+ V1 @: N9 E
Minor heading, 宾词标目
" z' h3 @' E- M T1 nMissing data, 缺失值
- F z9 j3 k) bModel specification, 模型的确定
1 k: T6 Z! E* |$ N' D4 M t, FModeling Statistics , 模型统计1 W' ?' A: D3 d ~+ e" U
Models for outliers, 离群值模型! ?- E# X/ O& N
Modifying the model, 模型的修正
6 g7 K- b( r8 E- x3 B xModulus of continuity, 连续性模; e4 Q/ C: h/ \6 b
Morbidity, 发病率
7 L2 m5 N0 `7 [) |Most favorable configuration, 最有利构形
4 N$ D. D3 e) |, m6 RMultidimensional Scaling (ASCAL), 多维尺度/多维标度
. i0 x* X8 c4 o6 CMultinomial Logistic Regression , 多项逻辑斯蒂回归7 I' e1 C2 J( d( _4 l( Z
Multiple comparison, 多重比较" K, P, z/ [6 u6 w
Multiple correlation , 复相关' I7 B& A! b2 |, T* W
Multiple covariance, 多元协方差
5 Q- @1 ]8 \: |( X/ f& D" |Multiple linear regression, 多元线性回归
3 k1 y+ P% J& G9 F* X3 kMultiple response , 多重选项
$ [( D1 i( C2 P7 J& y' ?Multiple solutions, 多解
" u5 ?, j+ A: G- h7 m* p3 rMultiplication theorem, 乘法定理: ]. ?# i' k% q) f
Multiresponse, 多元响应9 L' l. V6 K. ^/ Y/ A9 H! a& G
Multi-stage sampling, 多阶段抽样
' {/ u( h- K& V1 Q* l% z. ]( bMultivariate T distribution, 多元T分布' ^% `6 ]; T8 B
Mutual exclusive, 互不相容
' z# O, |0 E0 E& RMutual independence, 互相独立( X3 s1 I! O$ @/ ]" I2 z
Natural boundary, 自然边界% u; G# h, R! T/ ^+ K
Natural dead, 自然死亡
3 W# L0 S# h. U: b+ M2 h( y# V" C" JNatural zero, 自然零
# t& i& u, K9 ?, o W; xNegative correlation, 负相关
8 w4 I- U2 R/ j7 I W3 W6 F8 zNegative linear correlation, 负线性相关7 {' G& h. X- w' p0 b
Negatively skewed, 负偏) s% R& ?, g2 {5 g
Newman-Keuls method, q检验
2 O3 o3 `, b4 U Y, z4 N: F) ?% J" rNK method, q检验
% J; y- H4 E8 I8 r' T, w3 _No statistical significance, 无统计意义( R6 d% b) n! m3 x7 f. p+ ?% U
Nominal variable, 名义变量! G; {" C" G/ X1 z2 T: O
Nonconstancy of variability, 变异的非定常性( R/ Y: t* }1 ]. B
Nonlinear regression, 非线性相关9 i* i3 i: \# D7 W6 \5 q
Nonparametric statistics, 非参数统计8 q. u$ q" O; L) ?, e Q
Nonparametric test, 非参数检验
/ j! L" d+ l5 G2 q* H2 kNonparametric tests, 非参数检验5 X1 ] q; Y4 Z9 d+ M f5 g/ X* I! j
Normal deviate, 正态离差
1 M% u+ s0 x( a9 h- k1 P" X5 }; w% rNormal distribution, 正态分布( v3 T/ ~2 X7 f; f; n$ |- y
Normal equation, 正规方程组& x+ d& E( o, x$ b- W
Normal ranges, 正常范围" O: S8 a2 \0 f, T9 \
Normal value, 正常值
" C' `: b+ m! C1 w- N. sNuisance parameter, 多余参数/讨厌参数- x3 Z: |8 [. h! r9 k- |
Null hypothesis, 无效假设 3 o4 i. s0 r, y6 z* V2 i
Numerical variable, 数值变量' V# A1 }* ]( {. b, k
Objective function, 目标函数1 N! r9 O# t |! K+ _
Observation unit, 观察单位
* H* h- A2 W% qObserved value, 观察值
+ t' S; S5 j% n8 W% T# T# hOne sided test, 单侧检验
* O. e$ @8 N- i1 f5 n' GOne-way analysis of variance, 单因素方差分析
5 l9 @% y( P K" z/ Q- nOneway ANOVA , 单因素方差分析$ r" U; X7 r) C" U
Open sequential trial, 开放型序贯设计
! z& q- [3 w1 nOptrim, 优切尾$ T" _0 |" h! w" V
Optrim efficiency, 优切尾效率2 i: ]6 Y3 b4 U: B4 f
Order statistics, 顺序统计量
, H( w$ d$ B7 {9 gOrdered categories, 有序分类& S! @/ }1 N2 R7 H0 D0 H1 [9 q
Ordinal logistic regression , 序数逻辑斯蒂回归1 n, u- K; R4 j, A" s/ ?! b& y6 c
Ordinal variable, 有序变量
* |- T: v" Y9 x( Y1 v" |& BOrthogonal basis, 正交基
% e6 V/ M& e0 l- t' I) iOrthogonal design, 正交试验设计
; D, o7 h N3 V$ WOrthogonality conditions, 正交条件
1 ~3 V4 I' ?' |& |! e- P* {ORTHOPLAN, 正交设计
P. W' V( u) z7 V: Q# K" @Outlier cutoffs, 离群值截断点; j# N- y/ k& |1 Z( G% j
Outliers, 极端值' E* P: R% L/ f8 {) ?
OVERALS , 多组变量的非线性正规相关
! F" S1 j& m: `Overshoot, 迭代过度* H% {4 H1 q4 ^6 l
Paired design, 配对设计
2 Z1 G/ U" D& v2 b9 UPaired sample, 配对样本) U3 o- P$ O8 t: f0 A y
Pairwise slopes, 成对斜率
}# A# E! [/ p; u7 `& r8 QParabola, 抛物线
' C1 a3 ^/ @7 _/ lParallel tests, 平行试验' x% R% K+ r/ r# q N4 R
Parameter, 参数/ v& n3 _8 a) O1 E; c1 m
Parametric statistics, 参数统计
0 `$ d; o5 ^, B2 u% a' OParametric test, 参数检验) b9 T) a8 j7 `
Partial correlation, 偏相关/ u; W. x4 [# U; h2 j1 L
Partial regression, 偏回归" w0 T7 {, `! b7 o, S
Partial sorting, 偏排序' G. U4 w3 [% y) M X c9 j' P) S4 ^
Partials residuals, 偏残差0 a4 Q( r3 t" k
Pattern, 模式- H( w! j8 B( L& @/ p
Pearson curves, 皮尔逊曲线6 t4 H8 Z$ Z9 O+ n j
Peeling, 退层& Q, Q" Z( P7 m, p% e# D) P$ v2 L
Percent bar graph, 百分条形图9 Q: U7 m1 F1 g; [' @* y
Percentage, 百分比
- R, q9 ]4 `/ cPercentile, 百分位数
0 L4 i3 }# d: u/ a2 q7 V( j0 CPercentile curves, 百分位曲线* x2 `+ k- b, |7 T; ^8 I7 W
Periodicity, 周期性
8 I3 k1 d& S8 ^Permutation, 排列
3 f. m3 G8 E; J( F6 YP-estimator, P估计量 U0 Y+ G6 t2 Q
Pie graph, 饼图6 h$ b) u- ` _8 _: t `1 N/ G' L
Pitman estimator, 皮特曼估计量" F* m8 h$ n' [6 z) D+ H
Pivot, 枢轴量
' q% J+ f( k2 B# Y/ `2 M2 m. YPlanar, 平坦
; ?9 o+ `, \/ e4 h: hPlanar assumption, 平面的假设
1 L6 H2 q# ?4 W5 p( n8 N/ gPLANCARDS, 生成试验的计划卡; _! @/ C4 k) V9 O( w [6 G
Point estimation, 点估计
' }& I; E2 ]1 W& X0 zPoisson distribution, 泊松分布
+ w' P# ^ Q+ `5 f; uPolishing, 平滑# L& \+ K ^3 H" d; J/ G4 K
Polled standard deviation, 合并标准差3 v' d. `+ { v
Polled variance, 合并方差
7 _; o6 ?6 G3 i6 {# b! o, [9 sPolygon, 多边图( `4 f9 O P* [8 }
Polynomial, 多项式" {* p+ g: D3 U/ n
Polynomial curve, 多项式曲线8 k6 q+ b; S' B5 e
Population, 总体) V' t( ~3 }8 z; ?3 i% D
Population attributable risk, 人群归因危险度
% n2 R# Z6 `: |' D" {/ I' @9 x. MPositive correlation, 正相关
2 q8 ^! F2 d$ j) B0 M* ?Positively skewed, 正偏
6 G/ H/ o. A* V3 xPosterior distribution, 后验分布) M5 ?7 O5 {) w
Power of a test, 检验效能
6 q, _9 f$ c0 \6 @" Z( f! M" sPrecision, 精密度0 s! h5 ~: E- |. p8 c: {: d
Predicted value, 预测值( Y! M8 ?1 @/ w. D. u
Preliminary analysis, 预备性分析
: [# ]- I! w+ M. q$ U; y3 LPrincipal component analysis, 主成分分析/ I' H4 ]( U7 D" }0 @0 y2 i
Prior distribution, 先验分布 Z; ]) n" b/ K) n2 b0 E
Prior probability, 先验概率* [& v3 V4 \4 X& Q {$ f
Probabilistic model, 概率模型
, }' J8 q$ ^6 eprobability, 概率
: p3 f( H. E& a& rProbability density, 概率密度3 C+ o- o- P6 q" g
Product moment, 乘积矩/协方差4 Z2 k7 m( b& q: Y2 u( X
Profile trace, 截面迹图+ g9 Z: j/ J I5 K3 r7 ~( S
Proportion, 比/构成比
* z, Z* T, q5 T8 @Proportion allocation in stratified random sampling, 按比例分层随机抽样
; R( h. A: D* s! p! S& _# uProportionate, 成比例
5 Y, z+ K, s: I+ `" wProportionate sub-class numbers, 成比例次级组含量7 @8 Y9 Q- t5 u% ?$ y% x g
Prospective study, 前瞻性调查
4 e( d7 K4 h8 e! m2 M* d6 w, ~3 r3 _Proximities, 亲近性
4 z) l1 r* d! @% v Q3 e% S9 kPseudo F test, 近似F检验! Z% ~/ |, y& j9 G
Pseudo model, 近似模型9 C( m: [$ y3 P# i. c' ~9 u
Pseudosigma, 伪标准差
) v3 e# k5 a7 u) @2 `+ J! KPurposive sampling, 有目的抽样
" t, {7 ]1 Q& w) R/ ]( |5 u7 WQR decomposition, QR分解. a7 g$ v; v+ A" r& Z
Quadratic approximation, 二次近似- b( ] A- r, f3 _
Qualitative classification, 属性分类" w. f0 ? t" v/ H
Qualitative method, 定性方法
- |! C; O; G# l+ n$ x; V4 {5 dQuantile-quantile plot, 分位数-分位数图/Q-Q图- y( B8 v; h' ]8 G; S5 \5 D2 X' g
Quantitative analysis, 定量分析
8 T/ m2 E# k) ^5 e* PQuartile, 四分位数& O' ^) z9 B+ q1 v8 ?4 u4 u
Quick Cluster, 快速聚类9 |" @) S( S! E' _4 o5 }9 J* P
Radix sort, 基数排序
1 l; L- B# {: T$ ^5 E, lRandom allocation, 随机化分组4 n4 I" X; ^6 v. t) a( ~7 @# O
Random blocks design, 随机区组设计4 ~" A3 o3 ]" y+ ^/ T4 Z
Random event, 随机事件, g9 [& L+ W; K) A$ d4 M3 l: C
Randomization, 随机化7 N9 x8 u1 I) Z* j
Range, 极差/全距3 ]7 E/ {2 N' }
Rank correlation, 等级相关
$ z2 Q4 q* \# |) Q7 }+ ?% ^0 a# `Rank sum test, 秩和检验
: \; w) X- m+ b" xRank test, 秩检验& x' ~- h4 L. @( M* }
Ranked data, 等级资料' W, ]& ~& S5 z1 v
Rate, 比率
0 R! Z6 Z/ |+ t' X) x( |$ c9 o8 [Ratio, 比例2 ]# A! d+ X7 N" ^4 I' }# q; O
Raw data, 原始资料
* t1 E4 }$ o- ^3 \Raw residual, 原始残差7 V7 c# y9 E. P# M ]
Rayleigh's test, 雷氏检验
0 ]( @9 n2 @" U* Z. bRayleigh's Z, 雷氏Z值
$ D: E& z- F# i4 j" a, oReciprocal, 倒数
$ o, s, D( w( [5 @& J6 E' oReciprocal transformation, 倒数变换
1 c, n3 J z5 p( a1 E4 Z4 lRecording, 记录
: w& e& K p" ]' x0 v0 l/ Y( J8 @Redescending estimators, 回降估计量9 ]( t/ [! w6 q$ w
Reducing dimensions, 降维
2 n. O0 }7 A2 t& IRe-expression, 重新表达
9 n* r3 \' g& NReference set, 标准组
! ]& c8 ^. C* x2 ERegion of acceptance, 接受域
' I9 H/ l4 q# I! h7 I2 ~, jRegression coefficient, 回归系数( w% ]3 s6 r. v0 p4 F
Regression sum of square, 回归平方和& T+ G# [; n3 V) v% H6 ]
Rejection point, 拒绝点/ C! C' a# O" S8 {6 s2 Z2 T; ^0 t
Relative dispersion, 相对离散度6 O) q' t- O5 b" |3 M
Relative number, 相对数9 m% Y- W9 w; v$ d7 b8 D' E
Reliability, 可靠性' x4 V8 X5 K7 i! m3 M1 R. q) @; D
Reparametrization, 重新设置参数
0 `! K! L9 h8 d" }( r7 WReplication, 重复
7 x- z1 p( g1 V, s6 f1 U& VReport Summaries, 报告摘要
6 X& ^5 ?' ^9 q, _+ _& O& n4 yResidual sum of square, 剩余平方和. B# V( X7 \, S" g6 v7 F( k* V
Resistance, 耐抗性! _. J9 w, A: n$ n3 R2 l! a. p, ]
Resistant line, 耐抗线* S8 ~, P) [/ A% N# C) K$ F
Resistant technique, 耐抗技术
# q6 m* `9 t+ TR-estimator of location, 位置R估计量
) p6 H4 r! g6 |, Y$ BR-estimator of scale, 尺度R估计量9 l9 H. Q' ~' X" Q! e$ [+ h
Retrospective study, 回顾性调查
- d3 O6 {4 A" A9 l6 ^8 B0 uRidge trace, 岭迹, m. v9 L; g, a
Ridit analysis, Ridit分析
2 }- c5 b6 N7 pRotation, 旋转
1 P: W4 r% m2 o, T0 H6 H9 _Rounding, 舍入+ [. y( O- J k7 {; I. m8 m* R! Q
Row, 行
1 C; B5 `; A/ `/ ^Row effects, 行效应
: L3 e; b m# GRow factor, 行因素
- [9 v& _" H" F @( ^4 F/ ]8 XRXC table, RXC表0 R5 Z2 X) C. D9 I
Sample, 样本: s" i( P5 V3 A+ M! T4 t
Sample regression coefficient, 样本回归系数/ b$ R* g+ U: F* P v: w1 J
Sample size, 样本量9 Y! S9 ~. x( V4 c
Sample standard deviation, 样本标准差
+ G1 c# z& d; l8 H GSampling error, 抽样误差
% o% x6 ]5 H) p" rSAS(Statistical analysis system ), SAS统计软件包
1 F) C$ |$ w. R. {Scale, 尺度/量表* X- A( l9 `7 m% f/ q# M S; L
Scatter diagram, 散点图
1 T7 c: c* Q: t6 D& L& KSchematic plot, 示意图/简图4 Y7 h9 ?, A0 q% L. x& L
Score test, 计分检验; F* x5 `4 h3 o( D; p, f; ^
Screening, 筛检: J5 |1 ?' u0 J! P* A* u
SEASON, 季节分析 / N/ B- y1 h% ?) _6 G8 q4 ?# Z
Second derivative, 二阶导数
7 h( z# n6 Z3 Z; zSecond principal component, 第二主成分
* Q( r$ }& X4 b6 v& i% wSEM (Structural equation modeling), 结构化方程模型
, _+ e, e* |( O7 ASemi-logarithmic graph, 半对数图
% y, W6 u y! L$ l& Q0 q7 L5 SSemi-logarithmic paper, 半对数格纸9 g3 Y& X+ ]2 J, ]' v
Sensitivity curve, 敏感度曲线, A2 W3 s, }0 [& Y( _# M5 v
Sequential analysis, 贯序分析1 q$ O9 |: M2 f2 M1 z( ]
Sequential data set, 顺序数据集
# F# L1 B: v! j3 v# rSequential design, 贯序设计
( r2 H* D/ ^6 R. Q2 b: sSequential method, 贯序法
7 ~7 N5 c& ^0 KSequential test, 贯序检验法; @4 z) b6 w+ Q/ v
Serial tests, 系列试验( K" t5 S% f" j! `- ]' i2 r
Short-cut method, 简捷法 $ J# z. p+ c" ]" M( X, v( C. t
Sigmoid curve, S形曲线 V) V8 L9 K& h7 X7 p% p" |5 E
Sign function, 正负号函数7 R' \6 C& P' z9 R$ h0 ]5 P y
Sign test, 符号检验
3 D! G3 N7 U4 f/ M6 ^$ WSigned rank, 符号秩4 x( t- ~# i0 w' p: ]
Significance test, 显著性检验
9 N* G6 A% V1 @) C4 iSignificant figure, 有效数字
7 [9 Y$ {2 A$ k8 B) cSimple cluster sampling, 简单整群抽样3 Q- \) F0 r# u% r: C1 P- |, ?
Simple correlation, 简单相关/ o& e( N/ k! f R
Simple random sampling, 简单随机抽样 L+ e! I) S+ _/ X
Simple regression, 简单回归
9 n# V% {7 U; y. R. A) r3 Tsimple table, 简单表( o6 }8 c5 b) Y4 g: p
Sine estimator, 正弦估计量
4 X' }2 V2 X" a) N) nSingle-valued estimate, 单值估计1 ?6 G8 p7 k" o: b$ n) ^" ~
Singular matrix, 奇异矩阵
' H' m9 n/ p/ T. Z4 z7 i7 ASkewed distribution, 偏斜分布
. o$ _' ~; \ ]. e& ~Skewness, 偏度
9 B. y, G+ p- K# jSlash distribution, 斜线分布
x7 v5 R' l6 `( w& ~' E$ U5 bSlope, 斜率
N ^$ Q" W: T: r' h6 }6 ISmirnov test, 斯米尔诺夫检验: M9 u' ?0 N4 |0 \7 [% j; p
Source of variation, 变异来源
& R. s6 }+ ~" N% V4 r- S' u4 wSpearman rank correlation, 斯皮尔曼等级相关- [4 a4 W' }% \% a
Specific factor, 特殊因子/ [, i' Y- u6 D$ [+ D* y
Specific factor variance, 特殊因子方差
9 C5 R# c, ?( |. C+ T4 jSpectra , 频谱; B7 L8 v0 T8 k" U
Spherical distribution, 球型正态分布) M) L: d- c2 j; g D) ]/ L3 e
Spread, 展布% l: F0 B4 f b* b. R7 ~3 _# ^
SPSS(Statistical package for the social science), SPSS统计软件包4 P& m( P0 }; f$ q: k0 d
Spurious correlation, 假性相关
( @9 K, M2 b' i7 E# \5 H2 y! qSquare root transformation, 平方根变换7 Q, ^% Z/ P d" d
Stabilizing variance, 稳定方差' Q& g0 h7 ^( d1 X) m. N
Standard deviation, 标准差$ b: ^! Z! A) N2 h0 `! E# J
Standard error, 标准误
4 Q3 s+ W% t0 }; t1 C, L- y0 eStandard error of difference, 差别的标准误
2 _( m" w+ M: t9 d! DStandard error of estimate, 标准估计误差# C# |( \8 M. |7 {
Standard error of rate, 率的标准误8 z( x+ w: I6 I/ b
Standard normal distribution, 标准正态分布
8 g/ U+ C+ a3 T$ kStandardization, 标准化
& y( W4 D' s9 Z0 `% v( kStarting value, 起始值
. f9 N1 i8 x& f7 k# ?Statistic, 统计量* q, b5 k/ L/ m- \8 v
Statistical control, 统计控制- ]& B L4 M9 m% [4 G
Statistical graph, 统计图9 k; A+ h# Q9 b0 v" S, o
Statistical inference, 统计推断
1 N$ q) C7 U- H; s0 P# [* VStatistical table, 统计表
- g+ \* A3 D6 `Steepest descent, 最速下降法
; T2 W3 h7 \5 H9 Y3 vStem and leaf display, 茎叶图
- v! x0 g* S3 OStep factor, 步长因子
1 a1 {2 V/ B; V: WStepwise regression, 逐步回归
9 w4 N3 D( ?& ^6 g p* L4 R: GStorage, 存5 A$ X; _' r( R
Strata, 层(复数)1 s6 \+ M4 A. Q( \- f
Stratified sampling, 分层抽样
5 e: a/ L% ^ l3 _ D( g D" Q, DStratified sampling, 分层抽样
9 q) x4 J! H- t" J+ jStrength, 强度
: l3 J+ u; \* D1 c, WStringency, 严密性& Y# A4 s2 D( @: m4 K& j
Structural relationship, 结构关系% F/ e: v$ w# q4 J+ f3 w1 {" o
Studentized residual, 学生化残差/t化残差
8 f+ J( [# A, [2 K$ m1 h6 M/ F8 GSub-class numbers, 次级组含量/ b# d5 w, o. ^- y. L
Subdividing, 分割8 J$ f/ x% H5 I; K; ]+ e: h1 ~
Sufficient statistic, 充分统计量
6 f. f- j; `) P& n$ _Sum of products, 积和$ l# [' c$ O9 t% x. \. h
Sum of squares, 离差平方和
7 e" e( K- M2 f2 w5 I8 h/ rSum of squares about regression, 回归平方和
2 {- e4 ~$ k6 [. cSum of squares between groups, 组间平方和
" e9 l, [! d! x* g. [Sum of squares of partial regression, 偏回归平方和
2 o/ G+ i6 R, N5 O( a0 WSure event, 必然事件/ N& q! t$ {2 B6 p
Survey, 调查1 L2 u6 u% V9 K3 A5 `
Survival, 生存分析
( a! H' x( E8 }& A2 nSurvival rate, 生存率' c! Q. Y& V2 N" p9 o/ D1 g2 O. O
Suspended root gram, 悬吊根图0 Q( E9 g9 w- ^2 S6 w
Symmetry, 对称
1 R, C7 k8 W9 Q% M" E6 ~9 W4 OSystematic error, 系统误差1 Y& ^$ r [) C" L( S0 P
Systematic sampling, 系统抽样
( ?0 U q! H d4 S2 I0 q( TTags, 标签
/ y3 T$ y) o/ P& cTail area, 尾部面积
/ P- C4 B0 ~. |Tail length, 尾长
4 v5 r( E( L) ?5 K1 qTail weight, 尾重
0 e% F% P$ F: NTangent line, 切线5 O$ l" D: b3 s& {
Target distribution, 目标分布
# r% C f/ a/ d# h6 A" x+ `Taylor series, 泰勒级数' o: V( T5 W0 m s
Tendency of dispersion, 离散趋势
+ V! _. s& b5 {& z, o1 b+ N# y* I# pTesting of hypotheses, 假设检验
* \% h, e1 p# J# c' g7 i, [Theoretical frequency, 理论频数; w! ?% e( i1 l: b e. M
Time series, 时间序列
1 J7 z( C6 L" D- s, ]Tolerance interval, 容忍区间" z& j" \+ w* C
Tolerance lower limit, 容忍下限: G2 r' ] n3 ]8 Z, d
Tolerance upper limit, 容忍上限
' }$ B; x# D. o6 c5 @7 ~9 vTorsion, 扰率
2 G+ |8 R6 w6 V5 W6 i8 xTotal sum of square, 总平方和
6 O2 u1 c+ m/ d3 d8 E/ H/ ^5 u4 pTotal variation, 总变异* ]# p. }, u2 c3 f8 e* N
Transformation, 转换
h! {! `6 N3 }Treatment, 处理2 ^" V0 w7 X/ R' f ]8 r8 z
Trend, 趋势
9 d) G8 N* y0 d6 PTrend of percentage, 百分比趋势
& I- Y! d3 u* Q2 |( |7 p2 x3 gTrial, 试验
) t3 r: m H+ Z& ^Trial and error method, 试错法8 {. D' D9 Q# ^) ^6 G. z
Tuning constant, 细调常数
K- z9 Y; L! B8 O6 d7 Q \9 \) WTwo sided test, 双向检验9 |4 r, _2 Q) |* @9 @
Two-stage least squares, 二阶最小平方
M" t, o6 r* g, ^Two-stage sampling, 二阶段抽样9 v4 z5 `$ H* M+ `# q
Two-tailed test, 双侧检验
' q" S l* U$ F" HTwo-way analysis of variance, 双因素方差分析
( X" r4 K6 m5 MTwo-way table, 双向表3 s' C1 }9 v$ l1 N9 @- a, H
Type I error, 一类错误/α错误5 @- a3 _$ x/ v/ | W2 S$ ~
Type II error, 二类错误/β错误; q( ^' c _! K, Y4 x! v: m
UMVU, 方差一致最小无偏估计简称
0 b x6 i3 R# c6 f4 Y9 a* Q! w- ]Unbiased estimate, 无偏估计( L5 e: |9 [# \! H
Unconstrained nonlinear regression , 无约束非线性回归
/ y6 i. @- b7 ^& O; v8 jUnequal subclass number, 不等次级组含量
2 m& u( V- P4 n) z6 hUngrouped data, 不分组资料( K; a5 i; z8 Q; i) G1 a9 V C
Uniform coordinate, 均匀坐标2 }1 x9 B; }% r& F8 c6 T9 y- j
Uniform distribution, 均匀分布3 u8 U& e& ^) F6 ]; f- }4 D. n9 U
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
. {, n3 U3 y! \$ Z& T( y" jUnit, 单元
# L2 `4 n2 @+ W. h; A( hUnordered categories, 无序分类
( j+ K) t. O: j. r3 _# V1 RUpper limit, 上限
: y/ m& K. a e$ LUpward rank, 升秩% W/ C5 w; i' a; z6 z! f" W7 P
Vague concept, 模糊概念
) R/ j+ G9 C ?. {. w% }/ P4 V) rValidity, 有效性
3 l" a0 m9 O. w* y( ~: D( `VARCOMP (Variance component estimation), 方差元素估计0 O3 I8 m/ Y+ E8 Z5 Y- o G G& g
Variability, 变异性
1 Z5 \, d- A3 zVariable, 变量
; D, ^, B' I) KVariance, 方差
: a: T- n9 z# P4 Q8 P# oVariation, 变异
) z. t/ |# ?# ^Varimax orthogonal rotation, 方差最大正交旋转* y& B3 p7 S0 u( ?" ^- W
Volume of distribution, 容积1 w; ~6 P$ A1 n1 Q6 n1 }: Q
W test, W检验. @- `/ E0 n9 z
Weibull distribution, 威布尔分布( r! P! {/ W8 H" [
Weight, 权数
3 M& i- ~7 F# MWeighted Chi-square test, 加权卡方检验/Cochran检验0 |( F: Z) Y7 w6 C
Weighted linear regression method, 加权直线回归 _/ H) `! t) A2 v8 Y
Weighted mean, 加权平均数0 y8 v, `( l& ~/ l6 C$ A! A) K
Weighted mean square, 加权平均方差! ]3 u% ~3 A3 @! l; j" ^
Weighted sum of square, 加权平方和$ y' G6 H* V2 g' L
Weighting coefficient, 权重系数1 `* }' o+ h, M
Weighting method, 加权法 ^6 S# H2 n% {, t% x8 ^) ~* ~) u$ w
W-estimation, W估计量
# z/ t0 k3 n8 y. I$ o' s* y9 W1 NW-estimation of location, 位置W估计量
( b) {' o) X( g* D# }Width, 宽度
/ y+ A* S; G% f4 v% yWilcoxon paired test, 威斯康星配对法/配对符号秩和检验( d" F3 N, P# r2 S
Wild point, 野点/狂点
" w* c$ B2 p; q( Z8 T JWild value, 野值/狂值7 c, C1 R7 _6 c
Winsorized mean, 缩尾均值: B# R( P! K2 e0 f' J" S
Withdraw, 失访 ; l7 J5 @! a* {; A
Youden's index, 尤登指数* I) S7 t% y' D
Z test, Z检验 J! m# I5 q+ L* P
Zero correlation, 零相关
9 ~: D3 u# H( }& C* Y9 ~Z-transformation, Z变换 |
本帖子中包含更多资源
您需要 登录 才可以下载或查看,没有账号?注册会员
x
|