|
|
Absolute deviation, 绝对离差
* {5 Q' f/ b8 R, B! t+ qAbsolute number, 绝对数1 S9 R. U+ R( ~' K1 q
Absolute residuals, 绝对残差
/ r: E( m! ?& U& O' B0 m, NAcceleration array, 加速度立体阵9 d* R8 ^/ t: ^) w
Acceleration in an arbitrary direction, 任意方向上的加速度
$ q2 C1 g9 ^3 i9 h8 H4 X4 f% [Acceleration normal, 法向加速度, |3 q% b8 y& ?- J
Acceleration space dimension, 加速度空间的维数
! \3 ^' Z+ I, i+ h9 ~& ^; JAcceleration tangential, 切向加速度5 R$ d7 U' F8 o f( B
Acceleration vector, 加速度向量4 z6 p5 X9 q4 e5 t3 i6 ]" `
Acceptable hypothesis, 可接受假设5 e7 V$ }! `2 u5 N. I
Accumulation, 累积: h' U; [* z. w+ J- Q+ g
Accuracy, 准确度7 ?/ q& Q1 o6 _( S6 g8 y
Actual frequency, 实际频数
% U* G. E( b1 h* d( dAdaptive estimator, 自适应估计量
2 t0 [3 a8 e7 c; cAddition, 相加
! N$ _2 M5 _% x# dAddition theorem, 加法定理0 r! r h9 x/ j/ y9 g
Additivity, 可加性
7 c" ^1 z2 B7 b. jAdjusted rate, 调整率) v/ ^$ L S* [* V) P1 X/ A, G' N9 j
Adjusted value, 校正值
+ b! n' E4 P$ U, c# k5 X. IAdmissible error, 容许误差0 N3 y8 n7 M; S% k: R% [; r
Aggregation, 聚集性9 Z3 J7 l' d6 [, \ t) B8 M. L
Alternative hypothesis, 备择假设
4 x4 m' A# ^, J0 M: k. rAmong groups, 组间# W) k( ?$ `% t
Amounts, 总量
' r. ^1 d+ f; Z) L2 A) QAnalysis of correlation, 相关分析
8 d& Q" e& q; X4 }9 j* uAnalysis of covariance, 协方差分析' w, o1 {# m) {- H
Analysis of regression, 回归分析
) N! [6 A) C3 v, U$ kAnalysis of time series, 时间序列分析
* P6 W' J) D) j6 oAnalysis of variance, 方差分析6 R; f- p, U( v$ W8 @. o
Angular transformation, 角转换
+ j6 N" ]. t9 P5 FANOVA （analysis of variance）, 方差分析7 y2 G+ _8 x9 n$ C
ANOVA Models, 方差分析模型
9 Q/ |$ O/ O6 E' N7 }Arcing, 弧/弧旋
- T* W# O9 w: q8 B4 ^Arcsine transformation, 反正弦变换
' I1 N! \! ] @& w* o% d! M' \Area under the curve, 曲线面积
' N0 T2 o1 R0 Y0 \AREG , 评估从一个时间点到下一个时间点回归相关时的误差 6 |' _2 h0 C' h
ARIMA, 季节和非季节性单变量模型的极大似然估计
# U! P& v+ z3 N3 C1 m: HArithmetic grid paper, 算术格纸- q# }0 _- ~7 E! l$ c" E7 s$ k: I
Arithmetic mean, 算术平均数* L" Z" c8 S, t. M
Arrhenius relation, 艾恩尼斯关系7 l8 k, b2 S' l
Assessing fit, 拟合的评估
7 l0 q' z Z: I% E+ ]4 k- U0 TAssociative laws, 结合律
5 u3 d# \& t: ~6 P& K/ ?1 `Asymmetric distribution, 非对称分布
M7 C: k$ G5 T: b: G2 c* yAsymptotic bias, 渐近偏倚- H% A( `' L% H9 k) A( G
Asymptotic efficiency, 渐近效率
* ^' |- O/ h! ]7 mAsymptotic variance, 渐近方差 q& ]; i( h9 r0 C! l, d
Attributable risk, 归因危险度 d1 p% }5 f$ [2 n* ^7 ^4 N
Attribute data, 属性资料; i3 q# {' u3 l2 x0 s6 Z- s
Attribution, 属性. X- w4 o* w0 Y V1 u i
Autocorrelation, 自相关, x7 b! j8 V3 ^2 V6 I
Autocorrelation of residuals, 残差的自相关6 K0 u$ \. z4 I. u [0 s
Average, 平均数
- U) j. h) M: IAverage confidence interval length, 平均置信区间长度
/ O/ P& s# S( }1 O# k; U hAverage growth rate, 平均增长率
" T, d. P7 c5 y% t" c5 J; oBar chart, 条形图
9 z9 ~$ P" Z" E2 }; n9 mBar graph, 条形图3 X5 a; C+ o' B* b6 B" }3 F# U
Base period, 基期
4 J: D/ C. f- E# tBayes' theorem , Bayes定理
! C% y; |2 e. y5 BBell-shaped curve, 钟形曲线
0 I& O1 v& m& Y* Q, Z2 t$ WBernoulli distribution, 伯努力分布# w. ?, S0 l4 R( @
Best-trim estimator, 最好切尾估计量
`8 f+ i; }9 R/ mBias, 偏性
- h1 d7 N) Q! W& Q* D: ?6 FBinary logistic regression, 二元逻辑斯蒂回归
, Y# B, [! ^* r8 G! P/ OBinomial distribution, 二项分布3 W: M( n7 o" z8 ~* d9 w3 v
Bisquare, 双平方
" T8 Z& [) {% IBivariate Correlate, 二变量相关
! U7 ^2 E3 ^. [6 _7 {Bivariate normal distribution, 双变量正态分布
8 e( s6 y* b4 P( NBivariate normal population, 双变量正态总体5 E3 L" q6 [$ ?# ~
Biweight interval, 双权区间0 F5 d, Y- q2 h% M
Biweight M-estimator, 双权M估计量( p: b- P! v1 B* L
Block, 区组/配伍组
+ m7 Q' K# E9 x! `5 |# {) J$ [# Q8 MBMDP(Biomedical computer programs), BMDP统计软件包( ?3 F: Q+ O! B; f3 k. B+ T x
Boxplots, 箱线图/箱尾图/ b8 }: d8 b/ B1 n( G! f
Breakdown bound, 崩溃界/崩溃点
) J' W5 A* c' o2 y ^% L) jCanonical correlation, 典型相关0 r. P9 n9 ]& S) x* O6 T# J
Caption, 纵标目
$ F6 n5 N; t; i# H* [' Q6 bCase-control study, 病例对照研究9 P% _8 o6 P- o7 z9 `) x
Categorical variable, 分类变量& R0 k8 a9 Y$ h1 H
Catenary, 悬链线
' h+ z# [' }6 s2 qCauchy distribution, 柯西分布
0 w/ I2 ?0 y& B5 i6 hCause-and-effect relationship, 因果关系' w' G$ }" S) _+ U; f$ `
Cell, 单元- s/ C. \( G* O/ z5 ?
Censoring, 终检
( x2 {' t8 U1 c. ACenter of symmetry, 对称中心2 A9 a# e' u t& f3 H Z/ p
Centering and scaling, 中心化和定标4 v2 ]/ A# l% ? s* |* p0 [
Central tendency, 集中趋势
2 q6 ~( p: u& wCentral value, 中心值
; `- w; E$ r" @4 i/ _7 ACHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测# }# j0 h: v, u0 \3 k1 S& X. q
Chance, 机遇' J" W) H4 J0 o! X; f r
Chance error, 随机误差
! r2 N# R2 G! h; O6 OChance variable, 随机变量( \# ]& }5 K o) |
Characteristic equation, 特征方程5 M9 }1 h' R& g) Y- t) [( n. ]: K+ z
Characteristic root, 特征根
2 T/ E4 x9 D: V' E7 SCharacteristic vector, 特征向量
1 M) o, V: O) Y) [Chebshev criterion of fit, 拟合的切比雪夫准则
/ ]! P% V% i& v0 i# d+ ]Chernoff faces, 切尔诺夫脸谱图1 P! i, e7 o" A; J0 h
Chi-square test, 卡方检验/χ2检验
5 \8 Q! v" S# q! J2 ~% OCholeskey decomposition, 乔洛斯基分解# O0 P+ Q+ h( _+ u& P7 |! {1 `
Circle chart, 圆图 : X& g. Q n6 u1 h5 |
Class interval, 组距
* T( F8 ^( R& c* T& h8 ?Class mid-value, 组中值' j9 s( O0 J1 m4 Q
Class upper limit, 组上限
: V0 v+ y" g/ s/ K; TClassified variable, 分类变量
* o2 z1 \; T/ p2 |4 i1 aCluster analysis, 聚类分析
n2 o. r$ J% C# NCluster sampling, 整群抽样
5 S% ]3 E1 O( gCode, 代码
& D4 Q; ? l" CCoded data, 编码数据
! E4 i0 s2 ? b- T0 H$ x6 ~Coding, 编码4 \6 v# L. ?% s& U: V, Y W
Coefficient of contingency, 列联系数+ K, Y* T7 f4 C* V$ F8 ]
Coefficient of determination, 决定系数
$ j8 G* R r8 w9 M9 Z3 A7 v2 x5 bCoefficient of multiple correlation, 多重相关系数
7 T* t! S) D' U& m: [$ k9 M/ OCoefficient of partial correlation, 偏相关系数
7 z+ E( m* @0 L, j6 i+ A3 rCoefficient of production-moment correlation, 积差相关系数* h( w' q9 O7 L$ w5 |
Coefficient of rank correlation, 等级相关系数
3 P& z8 B# U" m) O& `, N4 l5 m. [Coefficient of regression, 回归系数7 W, R9 f9 s; n; r
Coefficient of skewness, 偏度系数( |# s3 \2 o1 p" ^) f- o. I
Coefficient of variation, 变异系数
1 a! ~! n2 t* }1 {; tCohort study, 队列研究
! D# K! b3 B0 \% H' q$ l' I# L! zColumn, 列
. P& p; Q% u, w3 {Column effect, 列效应
$ g$ n3 ~; c1 M5 `' o3 WColumn factor, 列因素; p/ F. C& I% k$ n
Combination pool, 合并1 k2 w" `) Y' @, ^
Combinative table, 组合表% C: J, O8 h- n) y# V/ M* u4 h9 t$ `& }
Common factor, 共性因子
7 \# c4 @/ w* s @& @" fCommon regression coefficient, 公共回归系数
$ @- m. k6 m: N; G. XCommon value, 共同值
) g: K; P: |" v3 R+ V# ECommon variance, 公共方差/ @1 N$ X6 v% r- @# U1 f, x
Common variation, 公共变异. [' J+ q" }3 m% }! g6 |( c1 U X6 Z9 I
Communality variance, 共性方差$ p3 ^* F) z7 `& W7 g
Comparability, 可比性9 ^2 x. V& Z2 _$ v3 @2 \; r1 _
Comparison of bathes, 批比较* ^+ R! ?2 J( B- H
Comparison value, 比较值
' s. Z, ^; F5 |9 sCompartment model, 分部模型) c* P8 ^$ w" T* Q/ G- k0 T- R3 h$ @
Compassion, 伸缩
}4 r4 B' Q& Q. Y! l `2 sComplement of an event, 补事件9 }5 b; A- y, b. H# f: m
Complete association, 完全正相关3 I6 I7 d0 v& b# Y, j% f$ R
Complete dissociation, 完全不相关( e; u: A C0 a' ^5 T4 n" ]/ S
Complete statistics, 完备统计量7 x: E+ v& B _
Completely randomized design, 完全随机化设计
8 @6 \; y" }1 |- C& gComposite event, 联合事件
7 _! d: \* f$ Y6 U' ZComposite events, 复合事件( R0 E" X; y+ y! Y( i m6 t
Concavity, 凹性. f4 c! e0 J) Q1 z9 S: x
Conditional expectation, 条件期望
. S+ T7 e9 p: y X0 ?* K, ZConditional likelihood, 条件似然& W/ ^2 o* ^' |! z( g4 @# T
Conditional probability, 条件概率
- A0 z- e" A1 y# b) B6 bConditionally linear, 依条件线性+ v2 B; G7 W0 Q! D; Z" z
Confidence interval, 置信区间
" G( y4 }: B2 o" t7 w' J. {& X mConfidence limit, 置信限1 J( k6 R" d1 {7 J; ^
Confidence lower limit, 置信下限
* D7 |8 u: y" R( sConfidence upper limit, 置信上限
& O3 O- Q. V+ n$ u. G& T% |2 [Confirmatory Factor Analysis , 验证性因子分析
7 {3 F, ]2 ] }" Q1 q) r! }$ lConfirmatory research, 证实性实验研究
0 L& b+ ^9 j0 ~7 g* rConfounding factor, 混杂因素
- i4 L" n2 z# i4 kConjoint, 联合分析
- d" V) D' b* ?. p& Y% SConsistency, 相合性
4 A& R& f1 W* h9 ZConsistency check, 一致性检验
1 \/ B" s5 v) H2 iConsistent asymptotically normal estimate, 相合渐近正态估计
9 l% A. [0 c1 NConsistent estimate, 相合估计
( y* ?; c5 @* WConstrained nonlinear regression, 受约束非线性回归9 `/ H4 B+ {: X# [
Constraint, 约束
- X% B( H: C5 D) ~( E# vContaminated distribution, 污染分布+ t3 q3 K* u7 S" `% z% k& `6 K
Contaminated Gausssian, 污染高斯分布% u- x8 B0 V, Z& S9 o
Contaminated normal distribution, 污染正态分布5 E- C8 e1 M2 B8 G
Contamination, 污染
4 m+ s, G. m5 u1 p6 i. X# p0 hContamination model, 污染模型
" t2 w- j" Y7 pContingency table, 列联表
; }8 [+ D% a5 [; cContour, 边界线1 f# _6 L0 C9 B9 G- F" }( y+ z
Contribution rate, 贡献率/ p- I4 M& q2 Z' Y7 y
Control, 对照; O+ K& ?8 n/ R
Controlled experiments, 对照实验
3 T, Y" C ]) q9 |% _Conventional depth, 常规深度
: V: Z: K Y- m$ [3 L& f6 j* ~Convolution, 卷积
, e2 {; C- b$ sCorrected factor, 校正因子) J9 E" U- W! {1 f$ ^
Corrected mean, 校正均值
# I3 C5 }) a9 @" C# \" [Correction coefficient, 校正系数- T8 u3 p& S* N7 ~$ B- ]' s3 k
Correctness, 正确性. }3 Y; ~6 e( S2 {9 m- ]& a
Correlation coefficient, 相关系数& L6 R3 t1 p7 n, L) g5 q( p
Correlation index, 相关指数
7 ]8 _: a, n& r3 ]' S# \' BCorrespondence, 对应
( M7 v" u/ |7 B% g1 b& G( A. G! M+ |& bCounting, 计数
8 D% q) p7 c ]# b+ J) m5 `+ b q8 y4 }Counts, 计数/频数
7 ^. P9 b$ U6 Z6 ?/ c( f* xCovariance, 协方差+ L; K1 l/ m% t# D
Covariant, 共变 ' b! k- f3 }! n8 R
Cox Regression, Cox回归7 ` @* l J/ x# p5 H
Criteria for fitting, 拟合准则
6 E% F4 ~" ?4 d/ Z* g: uCriteria of least squares, 最小二乘准则4 r' B4 r% }9 j% {5 _( ~, Y
Critical ratio, 临界比
$ x) _+ F# _1 l4 g% A0 u1 hCritical region, 拒绝域" f" @9 J" E% N
Critical value, 临界值
6 J* W! j/ K* B1 k9 W7 ]Cross-over design, 交叉设计
; V, q' W8 z! b/ D7 f3 P; xCross-section analysis, 横断面分析* x. h, h4 O* o# D1 ~
Cross-section survey, 横断面调查* k4 R, v% ~2 F: n5 n3 l; E
Crosstabs , 交叉表 / s! F8 {( h) C: t. L9 q3 s3 D
Cross-tabulation table, 复合表7 l( B- {+ P3 q, O, y
Cube root, 立方根
5 N$ l/ A9 @/ DCumulative distribution function, 分布函数2 e) Y0 T) v, y3 _$ i' w
Cumulative probability, 累计概率
0 ~& g- ^" z' TCurvature, 曲率/弯曲
5 O6 `" F+ `" W5 |! {( ZCurvature, 曲率/ g( X. k" E: P/ O. b; a
Curve fit , 曲线拟和 / R0 Z* @" h# Y! z' ]& W) j
Curve fitting, 曲线拟合
1 F y! n) b( _- Y) l0 u" `0 R% J- DCurvilinear regression, 曲线回归
4 _* E: G# [$ ]+ u) \" I: g+ B; VCurvilinear relation, 曲线关系
( Y h, ]; o0 ?Cut-and-try method, 尝试法5 w2 p* r3 g3 { @
Cycle, 周期
9 s8 y2 {' U: A. UCyclist, 周期性( k( K/ \- `- l" K( u+ G
D test, D检验
+ ?3 \. @$ s, N( o8 pData acquisition, 资料收集 a- z. f4 ]2 W) m
Data bank, 数据库
- D/ Y/ i/ L0 {5 WData capacity, 数据容量
/ w" _ k7 g! l( ~Data deficiencies, 数据缺乏
& F8 O' O2 X3 z" AData handling, 数据处理
0 Z3 C$ Z% ~6 g' H. pData manipulation, 数据处理' |: d4 C3 T9 f; |
Data processing, 数据处理
$ a( l8 k8 g3 h/ P4 O/ g; L) FData reduction, 数据缩减
0 \5 h) [- Y8 u( z$ LData set, 数据集- K* |& H2 g" B- \
Data sources, 数据来源( L! Z# C8 L. W( L/ L
Data transformation, 数据变换
3 q' g, s, Q/ n$ q* e; @8 u yData validity, 数据有效性; p0 T6 ?: A. e! E
Data-in, 数据输入
* E- d# P) ]. HData-out, 数据输出
+ v& }/ R- A( _% h/ c6 _$ [' Q1 Y. h: KDead time, 停滞期& |0 N9 P* e: R# V l1 y+ Z7 s
Degree of freedom, 自由度: A( c/ ^* h6 B1 @
Degree of precision, 精密度
3 s6 o$ v, y$ B( }0 D9 S$ {+ v/ mDegree of reliability, 可靠性程度4 L" F' o6 a( R
Degression, 递减0 D' o. {% c4 s/ b- F5 ~+ d5 y7 z
Density function, 密度函数; W+ D- y# j/ H* \4 X6 t: C
Density of data points, 数据点的密度
7 v6 T9 T9 T3 t8 c" v2 CDependent variable, 应变量/依变量/因变量/ z: h& z5 J% T5 ?
Dependent variable, 因变量& I% u( P/ x6 H- z
Depth, 深度. _+ E# z7 J" a
Derivative matrix, 导数矩阵
/ U7 Y( n2 {, U D" p* xDerivative-free methods, 无导数方法
7 I$ x2 u- M* n. b, F2 x% X, ODesign, 设计- h. k! C0 U& y2 Y% O6 c! {4 E
Determinacy, 确定性
# t6 |- r0 k; d$ NDeterminant, 行列式
% U2 g. S/ V" g4 CDeterminant, 决定因素
' _; E, L* C8 a# H9 ^9 i* c: JDeviation, 离差' K2 D% P/ U& l# p
Deviation from average, 离均差: d) l% n6 B5 f. v; v& b& V9 f
Diagnostic plot, 诊断图 w Z# l, N' Z& Y- h. ~
Dichotomous variable, 二分变量# z" \4 M7 D% }) b+ i# ]7 c) I
Differential equation, 微分方程, L4 `# C3 k, j0 |1 X7 u, s8 o& t
Direct standardization, 直接标准化法" q, ]5 e, u* L, Y+ J
Discrete variable, 离散型变量. m# V6 d# i5 ^) i- L! R& s- `
DISCRIMINANT, 判断 ( w# D, j/ |0 K# ?7 D0 r# [, r
Discriminant analysis, 判别分析5 ]- U j q9 @% n+ Z! C
Discriminant coefficient, 判别系数
5 J5 Y+ O% p5 S% v4 [3 zDiscriminant function, 判别值
3 U/ h" @' f; D3 O6 @# Y8 QDispersion, 散布/分散度& i( z7 y! i# H1 L$ k
Disproportional, 不成比例的
& E" `5 ?3 d% YDisproportionate sub-class numbers, 不成比例次级组含量 n5 f- y3 q( o2 Y* |/ N( F, A
Distribution free, 分布无关性/免分布% G5 _# u& ^& e# d i5 I( C
Distribution shape, 分布形状! z [4 H; b) G5 S$ a+ Z) g! x! A
Distribution-free method, 任意分布法/ d. D: K3 c5 ]. b# S: V
Distributive laws, 分配律# j. ]/ V- S O# Y
Disturbance, 随机扰动项0 q$ t" ^! a! ~, s
Dose response curve, 剂量反应曲线
& |, S9 p. @$ {& t. T) D zDouble blind method, 双盲法
6 B! Y/ o! f T q* [& ODouble blind trial, 双盲试验) ~6 Y0 b2 j- `% ]% T+ O4 Y
Double exponential distribution, 双指数分布
; B+ j8 j6 ~% S! [( g: _+ g mDouble logarithmic, 双对数
2 f( P1 p% T. i& C% {4 UDownward rank, 降秩
, P0 b. |% b! [Dual-space plot, 对偶空间图
5 E% a7 T$ r5 X+ hDUD, 无导数方法
4 H" i5 r2 b, y, v5 EDuncan's new multiple range method, 新复极差法/Duncan新法
9 c- u' ^* ?7 X& [Effect, 实验效应
# T3 @* C& @& d9 J, \Eigenvalue, 特征值) \( @ ?" S/ u D! [7 U$ k
Eigenvector, 特征向量8 c4 ~; I+ R9 C: G6 m7 n, m5 {
Ellipse, 椭圆
+ Z# E& e$ p( {& }" E! JEmpirical distribution, 经验分布5 m. R a& n: E! r2 U, b& y& Z4 j2 g
Empirical probability, 经验概率单位
4 k; i1 f) [, ^/ d" ^/ ^7 ?% o( k* VEnumeration data, 计数资料
, n' Q$ z" Q9 U7 V7 n, MEqual sun-class number, 相等次级组含量) o) y7 @$ W2 {: S7 u" e9 U/ T
Equally likely, 等可能
& `+ ?# ?2 B# X5 O# N% dEquivariance, 同变性4 ?5 `2 Q0 Q/ A& u. }' v$ O) I
Error, 误差/错误
2 F0 x! K+ \: H- j: rError of estimate, 估计误差 g) k, o7 f, j2 }
Error type I, 第一类错误' N+ O+ a) H6 X" ^% T* h! n
Error type II, 第二类错误
7 o( ]7 o0 O6 QEstimand, 被估量" e! z6 T0 }1 I/ B
Estimated error mean squares, 估计误差均方
- e1 A2 P9 l I% OEstimated error sum of squares, 估计误差平方和- F2 h, F) b. ]( i* ]
Euclidean distance, 欧式距离- X! O( S0 Y1 u f3 b3 M
Event, 事件
k+ Z& q6 Y9 d2 wEvent, 事件
! A, B8 m$ {+ U/ W; d- d' k! [Exceptional data point, 异常数据点3 J) W# H/ j# A+ n% W! g2 q8 y. u5 o
Expectation plane, 期望平面9 _. w3 V; | D2 l' ^
Expectation surface, 期望曲面* Z+ m: `; f) q8 g/ d
Expected values, 期望值
. s* s# f+ M* L& e) o" H* AExperiment, 实验
6 I) L# s! `1 e* p% t# nExperimental sampling, 试验抽样
: l- ?! T9 q' a; P+ q% ZExperimental unit, 试验单位# N1 A+ z3 s# ]5 E/ Z+ y
Explanatory variable, 说明变量
* z( e# v' q- u- }: |% XExploratory data analysis, 探索性数据分析
: ~$ v2 b- d# ^8 C# |; J: I" gExplore Summarize, 探索-摘要
9 i: `9 z2 k: M+ W4 G. |Exponential curve, 指数曲线1 [& T" `% H( b4 ^8 }; M3 w
Exponential growth, 指数式增长0 |' x! w3 H; z
EXSMOOTH, 指数平滑方法
2 {/ M6 |, M* W& z/ ^ EExtended fit, 扩充拟合$ y( T$ o; S% E5 ^- e
Extra parameter, 附加参数
- ? a" c, m6 xExtrapolation, 外推法
5 k$ {* K3 {0 |/ uExtreme observation, 末端观测值
9 u7 v) U3 F, g/ X1 pExtremes, 极端值/极值
; M$ e2 ]- \. _# B- _: b0 WF distribution, F分布
' Z! J$ e4 M) {, lF test, F检验
/ l- r6 I& V. Z/ AFactor, 因素/因子 ?* N0 @6 \* N* o+ e/ S
Factor analysis, 因子分析
! S! M7 R' ~5 F4 H! k6 c; KFactor Analysis, 因子分析
2 y7 x0 p* f) mFactor score, 因子得分
# @) [9 K) O0 k+ [ Y9 [1 gFactorial, 阶乘( [" n! {( g- D: K/ P- i
Factorial design, 析因试验设计
3 l' @2 O! w3 ]4 Q- j( W3 vFalse negative, 假阴性# l; K1 ]* w, o9 N& ]
False negative error, 假阴性错误6 L4 @% ]% `0 b1 T) e
Family of distributions, 分布族9 J4 V4 ^# w% M3 [5 f0 G
Family of estimators, 估计量族
( U6 v) p1 y/ a7 E5 \" `Fanning, 扇面
0 Y3 p' ~4 ^2 O7 t5 JFatality rate, 病死率( T, d5 T$ B. X$ I% h2 e/ X
Field investigation, 现场调查8 c4 x( f6 E# a; u
Field survey, 现场调查
, _5 J7 z" x: a- T' gFinite population, 有限总体% S) O2 b; S+ [$ x" X5 G
Finite-sample, 有限样本
7 L2 w4 ^) _. t1 K6 K, OFirst derivative, 一阶导数
3 A, K( C% J0 M/ ]First principal component, 第一主成分 ^5 h, \" G5 N# ]5 t8 V) r
First quartile, 第一四分位数
0 N" D& i3 @" w# lFisher information, 费雪信息量
' U7 W+ n0 x0 ?" PFitted value, 拟合值
; j: G5 R% c8 H6 @: s: _Fitting a curve, 曲线拟合
' ]8 w, d1 M3 [/ u* D/ C1 r/ ZFixed base, 定基
8 f: v- t# E7 p5 dFluctuation, 随机起伏
9 N) S: m' u: s5 }; c8 _Forecast, 预测
/ r% h4 {- Z5 vFour fold table, 四格表4 G; s& v7 R/ v0 K D3 v. e: e' T
Fourth, 四分点
( ^+ V1 M5 T i( @Fraction blow, 左侧比率
* h* K! H5 y9 E$ EFractional error, 相对误差
5 \7 \+ ^) W* e2 RFrequency, 频率
9 S* t% G+ E/ c4 B' E& }2 LFrequency polygon, 频数多边图
# d9 P! y g( |4 P: uFrontier point, 界限点% G2 O0 p6 l; j3 f) n* o1 X2 p. M
Function relationship, 泛函关系9 ^7 B' ^3 v$ p% r. I% p) R7 Z
Gamma distribution, 伽玛分布
6 _2 R" D3 A; k' j K! r1 r; sGauss increment, 高斯增量) Y/ r% r4 i2 U/ R- G
Gaussian distribution, 高斯分布/正态分布' D+ I# A3 }# Q0 b
Gauss-Newton increment, 高斯-牛顿增量
$ `2 E$ @& |' aGeneral census, 全面普查
) W# c: ]# `/ c5 XGENLOG (Generalized liner models), 广义线性模型 ( o! [' r; ?: P$ v* \: U
Geometric mean, 几何平均数$ j- l3 U/ q9 C e+ i, L
Gini's mean difference, 基尼均差7 W+ ~' k' o! u
GLM (General liner models), 一般线性模型 9 d3 g# I" Z4 R7 k5 T! L6 s" h h4 z9 S z
Goodness of fit, 拟和优度/配合度
1 l9 `; i! M7 K. cGradient of determinant, 行列式的梯度6 I6 Y, X0 A. X& W2 s, e. Q! G \) u
Graeco-Latin square, 希腊拉丁方
1 j8 H: g) ~# A' Q Q6 C7 D9 d8 UGrand mean, 总均值
8 N& W% D1 g$ aGross errors, 重大错误
3 T' ~% x# |% Q. X) y0 y; }2 \Gross-error sensitivity, 大错敏感度7 [8 Z: ~' @: {. {) Y! y
Group averages, 分组平均+ c4 G3 V' y6 l# ?. d$ R
Grouped data, 分组资料/ G5 z; q3 @, q: V, V1 U
Guessed mean, 假定平均数. ]6 {: M# X4 T
Half-life, 半衰期
0 f! Q' g) w; BHampel M-estimators, 汉佩尔M估计量
. g' i% |# E; nHappenstance, 偶然事件" W) f: f) K: T1 p1 Z5 I5 v
Harmonic mean, 调和均数
) a8 E$ L/ a+ b1 B' zHazard function, 风险均数
3 o& r' ^2 b" G1 N, {. N. W% PHazard rate, 风险率
) ]/ t: Y( z4 R0 ^8 dHeading, 标目
0 M) c0 f- K7 Z6 t7 E# @Heavy-tailed distribution, 重尾分布6 z c5 G* r8 j% ~: y g* ]# M
Hessian array, 海森立体阵
9 v8 q; {6 c1 F9 }# k' W) L7 i" {) W6 j8 sHeterogeneity, 不同质
5 n& R, T8 Y% ^! |Heterogeneity of variance, 方差不齐 : U3 B: n+ K% B* h" ~! ?
Hierarchical classification, 组内分组: ^: |$ L8 ^' T3 o
Hierarchical clustering method, 系统聚类法. K- c; l1 r. p9 L
High-leverage point, 高杠杆率点% V) i+ _/ U k! V
HILOGLINEAR, 多维列联表的层次对数线性模型% m1 f: x- N M) |# J$ r; t( d9 g* K5 D
Hinge, 折叶点& V0 x! s6 E7 o& ?
Histogram, 直方图
" L* K1 z+ E! \/ CHistorical cohort study, 历史性队列研究
: P/ O) X# ~3 o9 e% Q a2 N' aHoles, 空洞
: E# J7 H3 |/ n" t1 XHOMALS, 多重响应分析
# A9 n& w# d$ ?; uHomogeneity of variance, 方差齐性( }% Z( Y7 Z6 ^ F: g& y
Homogeneity test, 齐性检验/ ?( P l8 A( Q( S1 i
Huber M-estimators, 休伯M估计量
! F' q6 Z7 H( r. w: Q! Q. t) sHyperbola, 双曲线4 j$ t: h" {. V/ q0 _6 |8 m9 k
Hypothesis testing, 假设检验
) L: c. `. _1 z- x0 _Hypothetical universe, 假设总体$ ^. i3 D3 l; e1 r5 v: N
Impossible event, 不可能事件
& u$ p5 k \4 VIndependence, 独立性* x" T) m! E' W7 L4 u" d
Independent variable, 自变量
0 g, ~# @4 n9 G# j8 R. CIndex, 指标/指数
3 S Y! a7 L8 q; uIndirect standardization, 间接标准化法7 k3 D+ i2 _$ q! ^! a# n0 U
Individual, 个体
! K) L9 f9 F; O8 ^( xInference band, 推断带
- I$ c: f4 e2 f' KInfinite population, 无限总体( J1 h+ c$ p6 |! e c* W! b
Infinitely great, 无穷大
; |6 Q0 [ w& R/ Z0 C+ r- AInfinitely small, 无穷小
% o# k \( ]( }2 m: VInfluence curve, 影响曲线 A. |& X% W; d
Information capacity, 信息容量; S: a2 z4 ~: V# A- y5 x
Initial condition, 初始条件& \- t7 r/ n0 e1 Y6 ^- |
Initial estimate, 初始估计值
8 [2 E% s( D+ L& t* Y* }3 jInitial level, 最初水平! M) Q m& `* U. T3 x9 [
Interaction, 交互作用
) E: W5 {) `% h$ i3 f! D, AInteraction terms, 交互作用项
8 \4 G/ }& |( K9 J" GIntercept, 截距
5 v) f4 d- @! ~# H7 y5 H$ B9 yInterpolation, 内插法+ v& p. ^# q% h: T6 X+ e' [
Interquartile range, 四分位距% b) f' J+ I. z; D+ M
Interval estimation, 区间估计
0 n; E" ]: B, ]* o+ }Intervals of equal probability, 等概率区间1 y0 n/ G# ]8 W8 V! |. T2 U+ M
Intrinsic curvature, 固有曲率! m3 t' M5 M2 M2 |1 ? D. N
Invariance, 不变性& x* e% n1 X7 T8 W& F& h; k" H
Inverse matrix, 逆矩阵. }8 B9 \( l% c3 G: C4 I% r( L
Inverse probability, 逆概率. [9 h9 j6 m& \0 ]9 p0 v& I
Inverse sine transformation, 反正弦变换' Z: O- w$ m" E
Iteration, 迭代 % r7 i0 Z6 y* o, U$ _) o% k/ n
Jacobian determinant, 雅可比行列式
6 V2 U# f. x1 s7 bJoint distribution function, 分布函数
1 H1 I/ j! [/ c! ]Joint probability, 联合概率
1 r7 ]1 G$ ~, m" |( yJoint probability distribution, 联合概率分布
1 v0 |' z5 A4 g/ p4 G. Q- yK means method, 逐步聚类法
7 W4 n3 D0 M Z0 p# G- }Kaplan-Meier, 评估事件的时间长度
( w5 ?1 g& O+ ~' {Kaplan-Merier chart, Kaplan-Merier图+ e1 m5 P2 |+ n! h$ k* |
Kendall's rank correlation, Kendall等级相关+ A0 I8 r6 @1 ]
Kinetic, 动力学
) i) r; X0 R) `7 }Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验, O' E# j; }0 x" G
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验+ j2 N3 c. x+ l& @& W
Kurtosis, 峰度, K5 n- n& M; p4 q; \
Lack of fit, 失拟- \) k) A+ T7 d8 y% L/ K
Ladder of powers, 幂阶梯2 A, t1 t' l* U4 p) P1 T
Lag, 滞后
) j: O7 R) C9 \Large sample, 大样本$ ? u! s' X- \! }, B/ U: X% ]
Large sample test, 大样本检验
3 Q% t! A9 U3 N, DLatin square, 拉丁方9 F4 p7 D: g/ X
Latin square design, 拉丁方设计! U& e! \3 ?2 N1 ~; ]9 w# ~7 [
Leakage, 泄漏
) O" P- I& a/ B+ u3 [: e" PLeast favorable configuration, 最不利构形: c/ t" k: u3 r. X" y# e! z
Least favorable distribution, 最不利分布
6 N# {; m$ B4 a( eLeast significant difference, 最小显著差法
9 d9 ^7 ]9 A' U" Q! [5 e2 `Least square method, 最小二乘法
: _3 }7 g d1 iLeast-absolute-residuals estimates, 最小绝对残差估计! y" }7 Z; b+ _7 X6 h4 j4 h
Least-absolute-residuals fit, 最小绝对残差拟合
* Y' a1 s' c! d5 A4 @Least-absolute-residuals line, 最小绝对残差线/ E. B. r, w7 W8 ]: }) ]& [
Legend, 图例) q) F2 h6 H% [3 t2 i
L-estimator, L估计量
7 O% \# j3 u8 C5 U9 K+ z6 BL-estimator of location, 位置L估计量
D; a/ ?% l: @L-estimator of scale, 尺度L估计量' p4 m8 b( F2 M" ~
Level, 水平
# `, n3 o! [1 r$ N% bLife expectance, 预期期望寿命/ D5 r. n. Y7 k6 |$ S" I
Life table, 寿命表
8 I3 v M9 X8 Y1 d2 X2 ^Life table method, 生命表法
* |) N( C9 g! D. MLight-tailed distribution, 轻尾分布 r6 S9 T$ _! {
Likelihood function, 似然函数
5 G. e1 l& f9 u( `: jLikelihood ratio, 似然比
6 R' F* }# ?4 ~0 J, \" }& x% Q! eline graph, 线图: H: [3 M1 H. H; h/ e! Q
Linear correlation, 直线相关6 x* Q" e/ O. h2 R
Linear equation, 线性方程! h, q; g& u* c5 r% j
Linear programming, 线性规划# ~+ t1 g7 o$ [4 T) m6 O T, _: ]
Linear regression, 直线回归
, @' r# y" w2 x( L6 qLinear Regression, 线性回归# H- _1 P& r7 L/ d& b' u: k8 H
Linear trend, 线性趋势& m5 Q& j0 m. h5 g! b+ j
Loading, 载荷
) C% @ X4 M- l3 t5 wLocation and scale equivariance, 位置尺度同变性
% y5 m9 ~' S0 E$ U9 `; k" uLocation equivariance, 位置同变性
8 }- ?6 I2 ~5 ~" H0 r- c: iLocation invariance, 位置不变性+ Y3 T( F0 r$ I/ {9 [# |* n
Location scale family, 位置尺度族5 I2 Q6 Q4 @6 A6 b. g
Log rank test, 时序检验
9 s+ d: L* h; _5 \* z; [: ^Logarithmic curve, 对数曲线
' D, b7 L2 E) p9 y2 lLogarithmic normal distribution, 对数正态分布1 E- i; r: w N2 |, n
Logarithmic scale, 对数尺度' a0 \0 }- g' ^; L% g
Logarithmic transformation, 对数变换
4 ?6 s! t& d1 \8 s) ]Logic check, 逻辑检查5 s8 \3 Z0 Y( L
Logistic distribution, 逻辑斯特分布% v t! A# c% \4 u
Logit transformation, Logit转换
# C/ T: G. e* f6 tLOGLINEAR, 多维列联表通用模型 8 J6 Q3 }2 h: l& m2 L! K# p
Lognormal distribution, 对数正态分布 b& V* n# \ s% e }7 @
Lost function, 损失函数
X; L; W! I+ }( yLow correlation, 低度相关
! O: b2 P" t' X, Z D1 W+ CLower limit, 下限
L6 J* Y5 ?. n9 _ T$ KLowest-attained variance, 最小可达方差
% c. L( G- n" A$ wLSD, 最小显著差法的简称3 @, |- L7 N! f& V
Lurking variable, 潜在变量9 c. G9 L+ M$ a9 h6 u' v& Q7 i
Main effect, 主效应
* m/ _( S; p ^- M1 f9 k' i' yMajor heading, 主辞标目5 k; z. L, e+ A+ r
Marginal density function, 边缘密度函数
% ]# ?+ i9 b# ~1 I% N2 HMarginal probability, 边缘概率$ ~6 i! O4 K6 q+ I$ z$ @
Marginal probability distribution, 边缘概率分布2 `. Q. V# O6 B. B% W( {
Matched data, 配对资料. j. l+ o+ b! ^( x. r- }
Matched distribution, 匹配过分布
1 Y4 q* f( ]7 E) ~, T- ]Matching of distribution, 分布的匹配6 l1 t" b) W/ I {+ i! J8 u# C$ J
Matching of transformation, 变换的匹配% P7 U, J1 A7 |7 O0 N
Mathematical expectation, 数学期望
- f- s* M+ X/ a8 X+ BMathematical model, 数学模型# k* m5 ?) B2 w9 v9 g/ P
Maximum L-estimator, 极大极小L 估计量1 F" z$ ?- [0 W: F3 i0 c
Maximum likelihood method, 最大似然法+ Z1 A# @: I8 o9 j/ ^
Mean, 均数
- `0 }' `1 L4 I: kMean squares between groups, 组间均方
+ r+ [7 H& Q& ^* q, \Mean squares within group, 组内均方
) G% Z) _* ~. P" V/ WMeans (Compare means), 均值-均值比较
! H. v1 u$ [+ d O& }. n- q- GMedian, 中位数
3 v& N) W# g8 n2 J7 F# j$ HMedian effective dose, 半数效量: W/ L/ R" ]. Z3 i: ]- q7 m+ J, p$ n
Median lethal dose, 半数致死量9 A% i, N' e6 {# h
Median polish, 中位数平滑* m4 y$ o* N7 C: @
Median test, 中位数检验
( L6 I5 `1 h7 K8 `! y+ H Y& QMinimal sufficient statistic, 最小充分统计量5 {5 S3 R, U9 {" @9 F9 C
Minimum distance estimation, 最小距离估计
; L0 I8 I5 v$ P" e% x! dMinimum effective dose, 最小有效量* A; ?. |' `& v4 ~' L2 s$ F
Minimum lethal dose, 最小致死量, v0 ]5 w& r, [
Minimum variance estimator, 最小方差估计量9 Q' Z2 e3 G( [7 t& Y
MINITAB, 统计软件包$ G% ?4 H- L/ r/ w1 X7 u( l; S; O# a
Minor heading, 宾词标目
' [7 D0 o4 M1 Y8 U, TMissing data, 缺失值/ d0 ^, U9 P$ P" h' s+ A/ r
Model specification, 模型的确定 u8 g: u" I) z H* K
Modeling Statistics , 模型统计
" k7 N1 }: q& V) W k+ B* HModels for outliers, 离群值模型
& U# n1 M7 U! FModifying the model, 模型的修正4 I# h7 c2 j$ J" J
Modulus of continuity, 连续性模- N v3 \( ^) n" ^; u# @5 s
Morbidity, 发病率 * x8 \* R) |2 S
Most favorable configuration, 最有利构形* I; \; G) R% Z* }% @/ g, k
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
; h; q" J' o- b: k/ \Multinomial Logistic Regression , 多项逻辑斯蒂回归# n: q. R* R" P' P- R5 w
Multiple comparison, 多重比较7 A l: H4 f' I% @6 b; |$ P2 d3 f
Multiple correlation , 复相关
. w l, R6 c2 S; j5 OMultiple covariance, 多元协方差 R8 P, I n; ~; d5 i
Multiple linear regression, 多元线性回归
+ ] k3 D8 @/ vMultiple response , 多重选项4 N6 c* q7 _5 _! ]/ d9 J u
Multiple solutions, 多解; I9 Z& X$ F& U; W9 s& m7 S' I8 \
Multiplication theorem, 乘法定理
+ R3 A) n& q7 UMultiresponse, 多元响应
* g5 M5 y( C* r/ }& `0 ~! HMulti-stage sampling, 多阶段抽样0 K2 K4 s+ X1 J
Multivariate T distribution, 多元T分布4 R, V: P) ~7 Y$ ]
Mutual exclusive, 互不相容5 o; `1 N5 C7 ~3 H& J0 q
Mutual independence, 互相独立6 ]3 v! v# j( B4 e6 E; |
Natural boundary, 自然边界( m' l( [3 }0 P' `5 b
Natural dead, 自然死亡6 S( q* @, W: e; `; L' f9 F
Natural zero, 自然零
3 B2 f4 x/ [: Z! {0 b, @Negative correlation, 负相关! Q* i9 I8 b2 d: Y& l, N
Negative linear correlation, 负线性相关
0 L# {0 u/ N$ R p- t9 DNegatively skewed, 负偏
$ p& x$ x3 u; p) c0 ZNewman-Keuls method, q检验
5 ]" |! Q. f. z7 Z- h" ENK method, q检验 H. _# p$ H! R" d. T
No statistical significance, 无统计意义
( m1 C" N( Q$ w+ S2 b3 hNominal variable, 名义变量; i2 C7 V: m8 _4 r* t2 S
Nonconstancy of variability, 变异的非定常性# W9 |" H5 D" A) f1 w1 |. N
Nonlinear regression, 非线性相关
& p( a5 k" X3 g! nNonparametric statistics, 非参数统计
J! j2 {, H+ @7 n o YNonparametric test, 非参数检验4 T3 H9 ~& ?5 j* ?6 O) w
Nonparametric tests, 非参数检验: |! S ^) E3 |4 _ M" N
Normal deviate, 正态离差
( y; ]0 F0 o) k5 G; KNormal distribution, 正态分布 R+ z2 @7 s$ R1 o% }+ p
Normal equation, 正规方程组9 ^% c2 g. [0 J5 J0 p' E& O
Normal ranges, 正常范围% v6 l! o* s5 @0 w& \! B: a
Normal value, 正常值
4 T, f& K$ o. h" e6 l5 qNuisance parameter, 多余参数/讨厌参数
/ x2 M& ~1 `6 i6 gNull hypothesis, 无效假设 $ P- x+ c T& U5 \3 `
Numerical variable, 数值变量
# W* a. ~( _/ SObjective function, 目标函数1 X- J$ T: u i0 g- W
Observation unit, 观察单位
% A8 {8 ]& D! T0 {; H. uObserved value, 观察值
- ] s3 K$ K" |/ ]+ q LOne sided test, 单侧检验
+ T" d" Y2 z/ q( \$ vOne-way analysis of variance, 单因素方差分析
& c/ v' ?# H7 N) f2 |4 w' k# ]" zOneway ANOVA , 单因素方差分析
9 ~7 I; N0 f3 r% a3 YOpen sequential trial, 开放型序贯设计7 p# S/ e, n: `! F# E
Optrim, 优切尾
: X/ q+ R5 s+ h( fOptrim efficiency, 优切尾效率
7 x0 r2 R T. k8 c* F$ z& kOrder statistics, 顺序统计量
/ I& c4 z3 S4 T- k1 E- z7 q3 _+ ?6 HOrdered categories, 有序分类
1 B9 J m: ~' @4 ]: C3 U" WOrdinal logistic regression , 序数逻辑斯蒂回归
% }3 W. h9 Y% P& L% XOrdinal variable, 有序变量
+ C* Z' @5 Q5 g8 AOrthogonal basis, 正交基* A8 A$ Z; [+ e, H m" J' m0 z
Orthogonal design, 正交试验设计
0 e) A; o! D7 x8 F/ R3 | K3 |Orthogonality conditions, 正交条件) N) h; r# Y: P" Z
ORTHOPLAN, 正交设计 * }! J& a$ C& P+ z( x
Outlier cutoffs, 离群值截断点6 Y1 F: m D! O7 o j& i5 Z
Outliers, 极端值
' V$ @1 O2 M* M6 TOVERALS , 多组变量的非线性正规相关 " i+ V+ X+ d5 D* s( e$ k
Overshoot, 迭代过度
8 n; Q+ Y3 O+ S0 C7 k ZPaired design, 配对设计" I0 Q4 }+ g. r: Q" I4 _
Paired sample, 配对样本
! z: a g& p# f: H9 h' ~) E% hPairwise slopes, 成对斜率) j- _! v8 R7 B- Y/ G a4 ?5 j
Parabola, 抛物线
2 e9 Q7 B: F9 k& s5 \' t4 y, J! vParallel tests, 平行试验
( M. z& W1 z& a+ Y1 Z- yParameter, 参数. F& |+ R& [% j0 `6 w, B7 x! q% c
Parametric statistics, 参数统计5 f5 b5 a' d3 n7 m
Parametric test, 参数检验8 M9 z) u' ?5 O6 ~
Partial correlation, 偏相关: I0 \( [5 w1 t. E- s7 R' a
Partial regression, 偏回归
8 g+ x3 |! h. f* I" f5 b& LPartial sorting, 偏排序% a. C# d- a* S$ y: E$ p, _
Partials residuals, 偏残差" o- | p4 D" C2 A
Pattern, 模式
0 P- g. C% ~$ z6 \Pearson curves, 皮尔逊曲线/ h: r6 X5 Q- v$ e S- b/ U& E" P* T
Peeling, 退层
( l( }. ^9 H) U6 { p8 ]Percent bar graph, 百分条形图
7 n" F( s! m7 f n' IPercentage, 百分比
" k! ]. |% X, A3 N/ F: KPercentile, 百分位数- m! c: u; E7 _4 t0 _
Percentile curves, 百分位曲线' w$ \) g5 l' v9 U0 L
Periodicity, 周期性" b% H6 m: p/ a& L
Permutation, 排列2 Q$ W# J; z2 \( Y7 Z' w+ A
P-estimator, P估计量
x2 B8 A+ C/ _' |3 JPie graph, 饼图
5 [' a1 A+ ~0 K, aPitman estimator, 皮特曼估计量( V9 \! W! X% Q& D7 R9 @8 T
Pivot, 枢轴量4 M1 U: z# B3 l1 a8 [$ J3 z0 d
Planar, 平坦
2 {* c% s, n1 u3 O5 m) APlanar assumption, 平面的假设
9 h& ? i5 i8 f5 z0 RPLANCARDS, 生成试验的计划卡
( B( a8 u0 n; S& |3 j nPoint estimation, 点估计- s2 N1 D6 o9 N Q) m) \
Poisson distribution, 泊松分布
, i& D+ g+ n5 C: v3 o: ZPolishing, 平滑
; c1 h5 F. z* g, I r7 J* ]+ SPolled standard deviation, 合并标准差
8 \- f! A! z Z b7 ?' PPolled variance, 合并方差6 s3 g! \+ X' ^5 A3 D7 Z
Polygon, 多边图
( F% F2 |2 A( w2 ^4 n( y( pPolynomial, 多项式
/ K. O& U/ A& s, gPolynomial curve, 多项式曲线
8 z1 B, M2 B# t/ cPopulation, 总体, a+ }3 H3 a% m
Population attributable risk, 人群归因危险度# [9 q8 b' b' `
Positive correlation, 正相关
9 {3 i7 d' U% W+ @: Z& E1 u5 EPositively skewed, 正偏( M2 r" x, ~4 I0 r: ]% c8 U
Posterior distribution, 后验分布
3 y5 B# A: ~ g! ^5 _: J% ]Power of a test, 检验效能 I1 v1 z/ n0 c$ p, [' T1 b3 B
Precision, 精密度% [# ]; z' r$ W) e3 a* ~9 H3 d: f! F$ j
Predicted value, 预测值
& X @2 ]/ f9 Q: x+ s4 kPreliminary analysis, 预备性分析
1 {0 \( ^$ J1 g4 E4 o$ o# H5 o1 oPrincipal component analysis, 主成分分析
4 n( i4 E; Q; \" j/ c) dPrior distribution, 先验分布: u. @8 M- l$ u
Prior probability, 先验概率
; N$ t: d! Y# ~- N3 fProbabilistic model, 概率模型
' B% e" S6 m2 F1 sprobability, 概率$ W! f3 u% [: M+ a' K9 a' b
Probability density, 概率密度4 H- f# H/ k; Y9 [
Product moment, 乘积矩/协方差6 i4 U& [! E# K" y. L
Profile trace, 截面迹图: k9 l( [! `5 u% J$ m$ v5 v
Proportion, 比/构成比
! x9 ^# S: x0 m1 l% HProportion allocation in stratified random sampling, 按比例分层随机抽样2 O8 R, s# R' r/ R7 I
Proportionate, 成比例
+ O" m. ]$ r' i1 l" E- IProportionate sub-class numbers, 成比例次级组含量# X& m o. T( o5 t, _* o
Prospective study, 前瞻性调查: B, m$ d- U9 [) }: b, N
Proximities, 亲近性
6 x' `5 x. ? ?' A9 fPseudo F test, 近似F检验7 y- J2 Y% S; T9 J0 ?4 c
Pseudo model, 近似模型
* @; P: g F$ t& c( t$ w* A% ^Pseudosigma, 伪标准差. B: p, Q" H% V, S1 i* y4 }# M
Purposive sampling, 有目的抽样
D/ u: J. i2 w) Y* |QR decomposition, QR分解, |: p2 V4 M% N3 M
Quadratic approximation, 二次近似# J( |- P$ y7 S2 t. F7 A. W X
Qualitative classification, 属性分类% S' Y& x0 d# T5 {7 {* a
Qualitative method, 定性方法
: B. w% i* ?) @Quantile-quantile plot, 分位数-分位数图/Q-Q图5 s$ g8 N; {- e( T# K/ |
Quantitative analysis, 定量分析
' L. p* ^2 ^5 Y, [Quartile, 四分位数
% M' n: d- e# J# BQuick Cluster, 快速聚类2 ~( c" \/ k! \
Radix sort, 基数排序
# Q& i, o4 d# j X- B. y# g. ~5 dRandom allocation, 随机化分组; W4 m. f6 T* V. k5 A
Random blocks design, 随机区组设计% u% x; y; C" r0 C) E
Random event, 随机事件
f3 O. i, O: p. ORandomization, 随机化- ~0 |1 p' }8 D
Range, 极差/全距
1 m! j k; M+ w- m) c; zRank correlation, 等级相关
5 F8 x. [( L* n# gRank sum test, 秩和检验( M% l; z. D% w( Y
Rank test, 秩检验
0 _. A; K2 b# P: }Ranked data, 等级资料8 X4 K5 a3 S0 Q" f+ R% y) p
Rate, 比率) Z N0 S, P0 p u8 m0 d3 G( ^
Ratio, 比例" Q: l* O. e7 @+ ?: N* x7 R9 r
Raw data, 原始资料/ S. k/ Q6 P G4 G
Raw residual, 原始残差2 }" C; H# x6 F6 A O
Rayleigh's test, 雷氏检验
$ g! `# R* ]7 W9 m0 ORayleigh's Z, 雷氏Z值 2 @0 |2 C7 L0 `% r4 u0 u
Reciprocal, 倒数
; D7 o9 T- r) j" m+ ]1 G( UReciprocal transformation, 倒数变换( @9 P1 }. M2 n9 z. x; p5 r9 O
Recording, 记录' F$ a- A# C H& d" m9 d' S" ?7 u. J$ d
Redescending estimators, 回降估计量
+ L5 j8 O8 K5 w: B7 _" D1 G8 N+ qReducing dimensions, 降维
4 Z7 i( C) u% Y" J: E. f HRe-expression, 重新表达' B' Y* R% X3 G+ o I
Reference set, 标准组7 P% J* o8 l% P. t& K
Region of acceptance, 接受域
3 ^; Q& |+ f& | Q4 _# Y. LRegression coefficient, 回归系数
/ r/ d. \$ C( ~( z- N6 x/ VRegression sum of square, 回归平方和
, z5 t' u5 [% _: LRejection point, 拒绝点
! o( [% B4 b6 d j: a5 I3 qRelative dispersion, 相对离散度
* @3 q& E2 n5 bRelative number, 相对数
0 Z! f' o4 z0 g$ a# g2 H( C9 j kReliability, 可靠性
1 v. z9 w1 T! {Reparametrization, 重新设置参数
, w- X& z# n2 k$ i- q# W) k: VReplication, 重复4 D* p, U5 @4 E/ X2 {! M7 ]
Report Summaries, 报告摘要
/ Q6 A1 }2 w* G3 u' C- B4 V2 v6 dResidual sum of square, 剩余平方和5 q5 w( y) ~: |4 C* ^, {
Resistance, 耐抗性
$ f0 V$ A; ? M2 t& s$ W, P+ YResistant line, 耐抗线
, R7 f6 j7 q- o+ G" \1 n& cResistant technique, 耐抗技术
0 l, Q$ `& L9 y; ^7 o( B" XR-estimator of location, 位置R估计量) q$ h+ q* L' ?# x7 W8 M6 O
R-estimator of scale, 尺度R估计量
% ]% \% T2 Y2 sRetrospective study, 回顾性调查8 j" L6 E% o$ ?. q* m: Z
Ridge trace, 岭迹% {# w7 q2 k% h: E$ e2 \5 n
Ridit analysis, Ridit分析
8 k0 _+ @0 i5 g. |. S" j. yRotation, 旋转
: i7 j% y/ c8 p8 n5 f5 `5 r% LRounding, 舍入9 `; [, {+ z, h* I8 h, g b( r
Row, 行% ?$ |7 X2 R% J) r) J
Row effects, 行效应
1 I% m3 _6 X1 f/ A# \Row factor, 行因素
- n: u( M. T4 N4 z% F6 zRXC table, RXC表) J- M6 j i$ n9 y% K; E' D
Sample, 样本 Q0 s! A' T; {( N) O, F0 }/ x7 k6 p
Sample regression coefficient, 样本回归系数5 [5 G. U) N0 R Y
Sample size, 样本量 S) | {. M$ X5 W
Sample standard deviation, 样本标准差
' H( J3 P: r6 M' u7 N6 oSampling error, 抽样误差0 s% \# _* b2 }' ^% m* X: B2 ?' I
SAS(Statistical analysis system ), SAS统计软件包! N( u& D% ?* h( r! D
Scale, 尺度/量表! C5 h e0 c* U! d2 w
Scatter diagram, 散点图
; I ~. k7 Y! K. M& b5 ZSchematic plot, 示意图/简图! P7 G3 h# J. k q$ p! X/ g; L
Score test, 计分检验
4 L% F0 I3 X+ [2 F: ^) p# FScreening, 筛检/ n! e6 u1 x' j `
SEASON, 季节分析 : g, t: s( m7 |$ `* i1 T
Second derivative, 二阶导数5 @& D2 C4 K& D8 X6 Y( L# S
Second principal component, 第二主成分
( h) \8 U; ~- E, a7 l& RSEM (Structural equation modeling), 结构化方程模型 " {( X, t) w3 g% z- k
Semi-logarithmic graph, 半对数图
" ]1 t# }0 m$ p5 A, `6 l# J kSemi-logarithmic paper, 半对数格纸
$ E5 B: D7 B: x+ F" C# BSensitivity curve, 敏感度曲线9 U* x H( l- V5 A. S9 U" l
Sequential analysis, 贯序分析
3 ]# A* }4 r& p+ c7 d! ^Sequential data set, 顺序数据集
8 o! J0 z9 a# j& p: p) D% mSequential design, 贯序设计
# K* E. M1 b2 H e- _; n4 wSequential method, 贯序法
" g8 H$ O0 `. y) k. O2 tSequential test, 贯序检验法9 R5 k& Q7 `* L v% Y6 p: G4 J" n6 A
Serial tests, 系列试验
2 l; m; |( _( Q. A) c' MShort-cut method, 简捷法 + S( Y: H6 Z- c, P5 J
Sigmoid curve, S形曲线
& _6 e+ p6 t: F) O7 G8 iSign function, 正负号函数0 L# [+ o: V3 Y
Sign test, 符号检验' @$ _' a3 N% g
Signed rank, 符号秩
' h- X6 I, H$ Y& v) ESignificance test, 显著性检验4 |) J$ u7 Y' R" p/ T$ G' p
Significant figure, 有效数字) U" L' I! y" a) ]" u$ U1 F5 Q, ~
Simple cluster sampling, 简单整群抽样
8 y: N9 _: z- e" i% ^2 r8 a7 ISimple correlation, 简单相关
2 f4 p l" t" [) y" jSimple random sampling, 简单随机抽样
, k" S, j0 n0 f, d! M3 c- lSimple regression, 简单回归
! j+ \3 f9 M) wsimple table, 简单表: M: `3 U' g; [% \
Sine estimator, 正弦估计量
! v6 \2 |1 S' Z8 S/ \! b! V3 t/ o9 NSingle-valued estimate, 单值估计3 [3 P( a/ _4 J% t) ~
Singular matrix, 奇异矩阵! } G* \: {( A8 p- G
Skewed distribution, 偏斜分布4 d S* v2 @- ^! k9 z
Skewness, 偏度
' l$ p l4 e) sSlash distribution, 斜线分布
( s. n5 s. y6 x! `0 p* O6 k- M1 W2 qSlope, 斜率
. R6 X w2 Z8 T% l( ZSmirnov test, 斯米尔诺夫检验7 ?& l0 Q! e/ r T4 I3 `% @
Source of variation, 变异来源8 t+ \' ] M4 _' C, J
Spearman rank correlation, 斯皮尔曼等级相关
1 ]$ u+ G- p: L# YSpecific factor, 特殊因子
! H) F, Z# A% _( H% `' a6 z; B, o+ R" ?Specific factor variance, 特殊因子方差5 _7 d- x' T7 F, @4 H: c/ t
Spectra , 频谱4 x) F1 S% c3 H. y; C- C% t
Spherical distribution, 球型正态分布7 d0 C& z) X2 J8 \" S) r
Spread, 展布
7 A- Y. d2 ?: B4 c) sSPSS(Statistical package for the social science), SPSS统计软件包4 ^5 h, X; R( d0 ^0 x5 S/ j5 q
Spurious correlation, 假性相关, X7 V( I; j1 t) W7 u7 k
Square root transformation, 平方根变换2 p( X+ | _. c6 ]; k: g
Stabilizing variance, 稳定方差; x% ]/ _# ~% J7 c
Standard deviation, 标准差& h% A" v! X+ g0 l- d2 e
Standard error, 标准误6 c9 m+ P& D; p" Q
Standard error of difference, 差别的标准误# T# {6 C3 u( X" i+ ?( \; i
Standard error of estimate, 标准估计误差
6 f8 w$ x6 ~/ |3 O5 KStandard error of rate, 率的标准误
' X+ N& ^. Q; B# g1 L: BStandard normal distribution, 标准正态分布
9 d' H# Z' g6 D# [5 F9 b R1 UStandardization, 标准化- A7 t$ I3 L, W+ `
Starting value, 起始值
0 g+ C0 Q( z" A+ r8 _" f. ~! e8 VStatistic, 统计量$ w: F3 I9 {) G6 _9 w" Q5 e
Statistical control, 统计控制/ C+ z/ `: g0 d9 H
Statistical graph, 统计图; ?2 [0 j! H& \! y8 m
Statistical inference, 统计推断5 \. o% ^* O" r5 f9 x
Statistical table, 统计表
. j( U! W1 Z9 R8 A$ k/ W/ _# }* QSteepest descent, 最速下降法& z0 c1 d2 v$ U9 A4 I
Stem and leaf display, 茎叶图( w, n, m0 h6 R; e0 p( U+ p' M
Step factor, 步长因子. I8 I1 t+ S+ _
Stepwise regression, 逐步回归
' @( \ |9 k1 V4 ~: ZStorage, 存1 }9 S8 P+ j1 s# Y4 J- \8 C; m
Strata, 层（复数）
9 T' m& M' E8 u( f( yStratified sampling, 分层抽样9 N) Q% }# H1 Q' r, V
Stratified sampling, 分层抽样
9 @: r% |1 }9 X0 rStrength, 强度
! `0 J3 O1 R, v% l, [4 C$ ]Stringency, 严密性
8 z# M" j" P& Y, D5 R1 z& sStructural relationship, 结构关系3 c! I1 g0 N# }# b7 g$ m
Studentized residual, 学生化残差/t化残差 d% t B7 u5 g
Sub-class numbers, 次级组含量
+ E; |, w, _0 FSubdividing, 分割
0 u9 {/ F9 |9 h! b& vSufficient statistic, 充分统计量% h; X8 p" A' p& U5 A
Sum of products, 积和
8 d8 B$ k1 G. ^" X1 {) d7 W' pSum of squares, 离差平方和/ D+ o, W; d' B e0 M+ l
Sum of squares about regression, 回归平方和9 G: G' j* R1 [1 P+ ?
Sum of squares between groups, 组间平方和6 d/ G5 C9 f( @8 q3 _% R
Sum of squares of partial regression, 偏回归平方和
2 a b# Q' u- x9 ISure event, 必然事件
* @- ?7 M) ]& }" VSurvey, 调查* }* [: m2 d* l% Q- a) x6 j
Survival, 生存分析
( F* h# @! m( `2 w% o" kSurvival rate, 生存率; C( ]( V' y8 H' J& O
Suspended root gram, 悬吊根图
& t7 o8 Y1 P2 _& v/ Y( b rSymmetry, 对称
- H* u* |/ D, P/ B* e& _Systematic error, 系统误差
" n+ K7 ~, f: j. c$ A, D: kSystematic sampling, 系统抽样
/ }( S/ G" Y/ `5 a4 H! V5 A( lTags, 标签* j1 U. w4 r8 {$ [3 B( d
Tail area, 尾部面积
/ h3 D; H j U K8 tTail length, 尾长
) D- _: \; T; V c0 S: l2 w: STail weight, 尾重
4 N, U: V! E; b# C8 M2 \Tangent line, 切线8 B" e8 b/ `- K
Target distribution, 目标分布
. P6 \8 }& [, x! a+ p' wTaylor series, 泰勒级数! \1 i/ Z; u6 Q% Z4 p2 g% f
Tendency of dispersion, 离散趋势1 F9 m% f5 g# i& {/ l1 z
Testing of hypotheses, 假设检验3 e6 R/ j8 M! c2 f0 S
Theoretical frequency, 理论频数
: R9 D( E, g+ X1 KTime series, 时间序列
$ w) D2 L* k# ITolerance interval, 容忍区间8 }' V. D' ~! e# M/ _
Tolerance lower limit, 容忍下限
/ X& P6 S- S: W2 `$ Q8 CTolerance upper limit, 容忍上限
4 w6 [9 K0 R- `3 y, u( ZTorsion, 扰率7 h' P/ _# u2 f, h
Total sum of square, 总平方和
6 H+ u/ K1 C$ q9 e5 N9 @' e. ZTotal variation, 总变异, `% @3 z" }* k4 Z
Transformation, 转换 N& ?5 ]) @9 r- ?$ D+ S+ t1 i
Treatment, 处理
8 ^7 {0 U6 l+ Y( z: }! VTrend, 趋势
5 Q! x2 U, Z+ I$ C2 \$ fTrend of percentage, 百分比趋势
8 g2 |" H! T0 ETrial, 试验$ D! L& Z2 J# h7 S/ V0 B
Trial and error method, 试错法5 T" ^1 ?1 T6 e1 {; f
Tuning constant, 细调常数
' E2 O7 E) |& ^( ^0 ^* }) xTwo sided test, 双向检验
" z. X; ~8 C/ `, U" `; Y9 a! QTwo-stage least squares, 二阶最小平方
* `$ V; a! Z3 fTwo-stage sampling, 二阶段抽样
8 d* S( k8 t2 LTwo-tailed test, 双侧检验7 ?6 \, }1 i; Y$ f( z
Two-way analysis of variance, 双因素方差分析
/ C5 t5 D, q2 T o2 ?% n" ETwo-way table, 双向表- O, a! ]2 G; ~ Z) j& Y
Type I error, 一类错误/α错误
+ R+ B J! A) K3 V5 x9 OType II error, 二类错误/β错误
1 L5 y% ~6 z* J+ x( pUMVU, 方差一致最小无偏估计简称8 U) i" b( x5 J" B3 {; R5 G
Unbiased estimate, 无偏估计$ A" e7 R! i/ R% x# ]
Unconstrained nonlinear regression , 无约束非线性回归8 Z' X# \% r* t: a
Unequal subclass number, 不等次级组含量) m' @! [/ X1 I" s( [
Ungrouped data, 不分组资料' |6 i: m1 N( q9 _0 N; A3 W4 w
Uniform coordinate, 均匀坐标
4 l; F1 G# c1 l* qUniform distribution, 均匀分布, P1 w! c+ P( J- d! f
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
7 y/ [: W- P8 Q/ G; x* X8 u: EUnit, 单元
/ w: g- w) H! A. H9 sUnordered categories, 无序分类
0 `/ s5 ]; f0 M: y" f; B/ ~4 xUpper limit, 上限! D) j! U! _% Z/ ^2 v5 V4 e
Upward rank, 升秩
- y! x. `! _+ G9 ~- t nVague concept, 模糊概念0 ]* t* ^! n7 H6 H8 K. B
Validity, 有效性
5 P* o" q/ d+ P0 m) aVARCOMP (Variance component estimation), 方差元素估计
7 H: w" b, @, M0 W! I j( SVariability, 变异性* c0 c- l1 Q3 ]7 P
Variable, 变量
5 i7 `9 }2 ^" h r& K M/ qVariance, 方差
. K6 l8 O q4 X/ OVariation, 变异
# x7 A' d- k# u/ UVarimax orthogonal rotation, 方差最大正交旋转
1 M& g- l2 |8 eVolume of distribution, 容积4 R3 X) Z+ `9 E
W test, W检验' r, T: M) X* m+ [
Weibull distribution, 威布尔分布' r. _+ _5 z: B% t
Weight, 权数' C. p) r9 f6 W/ D" K% X
Weighted Chi-square test, 加权卡方检验/Cochran检验
% v; L7 J# y/ A3 S o6 PWeighted linear regression method, 加权直线回归
& _/ f- k3 U6 P/ A6 b" {. M lWeighted mean, 加权平均数( _" ]7 n, \. r6 U% s
Weighted mean square, 加权平均方差6 V( c, H/ q7 D
Weighted sum of square, 加权平方和
( A& c( ]* `# g$ q) V+ G% jWeighting coefficient, 权重系数
* x0 D: g, T& E0 IWeighting method, 加权法
$ h/ @; }. U: T! j9 b6 H+ HW-estimation, W估计量. h3 A4 h1 R6 T2 E+ B
W-estimation of location, 位置W估计量+ Z' h: B8 Y/ T6 T! J5 _ x9 e0 w
Width, 宽度; x4 P( N c- R V* V! f4 d5 u3 }
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
! J4 D* K' o4 K) Z5 v, a; `" ?Wild point, 野点/狂点
; W" R% W, r$ O9 jWild value, 野值/狂值
& f5 @( | ?) @- H% m5 DWinsorized mean, 缩尾均值
1 p: }1 L3 E/ b2 S0 f' xWithdraw, 失访
% {* Q) L& p) V) M* _) ?* [Youden's index, 尤登指数6 J3 K: X( k) W/ P5 z B
Z test, Z检验
2 m4 I) y0 I, X- w5 R4 m* PZero correlation, 零相关
9 q" x. m+ `6 C9 QZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
