|
|
Absolute deviation, 绝对离差( R q$ C( Y' m! l3 g* G
Absolute number, 绝对数+ M! @& w$ M) f
Absolute residuals, 绝对残差
5 T+ N% {8 t' c$ U$ D! LAcceleration array, 加速度立体阵7 {' H$ K; Z4 T2 I2 \
Acceleration in an arbitrary direction, 任意方向上的加速度: i3 }- _9 I' B1 \/ D" \7 E
Acceleration normal, 法向加速度; \4 X% G" R6 i( ~. p G3 o+ j; d2 }
Acceleration space dimension, 加速度空间的维数# I/ p* C( |, H
Acceleration tangential, 切向加速度 Z/ [6 B, C3 ~ p1 O9 ^4 H
Acceleration vector, 加速度向量# u- E8 Q$ Z4 ^) a k
Acceptable hypothesis, 可接受假设
" p; b3 ]9 N# eAccumulation, 累积2 b% E r! F" ]7 [& T9 ` u
Accuracy, 准确度
: c& _. F4 \7 u, L& mActual frequency, 实际频数
. i' T! Y( D; `# bAdaptive estimator, 自适应估计量6 I$ n$ A* m) a) @ V4 R# {
Addition, 相加% j i+ z& X* D- U8 s7 f4 e$ Q# m( U( k
Addition theorem, 加法定理9 L/ d+ ^) y8 Q4 J+ O; z
Additivity, 可加性0 p- k4 ?' k% W, Q
Adjusted rate, 调整率
$ n% U- l2 \) X+ r' [4 T+ KAdjusted value, 校正值0 M0 B/ `8 |( E4 f: {! L
Admissible error, 容许误差
2 a( V/ g, ^! H& ]Aggregation, 聚集性. _. S; U$ W. Q' w1 d1 K' M
Alternative hypothesis, 备择假设! c+ E, Q: V# p; M* t
Among groups, 组间, N: Q" C& o8 `: O$ g W X
Amounts, 总量+ s! |9 j) F4 \
Analysis of correlation, 相关分析
* f6 k& R- x# b( W% G% Y# _Analysis of covariance, 协方差分析/ _. U! [2 A- l+ A% m
Analysis of regression, 回归分析0 G+ X* x5 J1 L9 K5 f* L& W! @
Analysis of time series, 时间序列分析
0 j# j" L0 O, v0 z/ J; p4 {Analysis of variance, 方差分析
; Q8 M# ]/ Y/ y2 SAngular transformation, 角转换
: u0 }- ^7 R, S0 t0 O& {ANOVA （analysis of variance）, 方差分析
) D/ c7 Q+ M5 l9 M: ~ANOVA Models, 方差分析模型
) }$ D& p# {8 A" ^* e% z) j- d/ jArcing, 弧/弧旋
/ ^6 r2 ~& z9 C/ O, B8 B$ N2 ]0 PArcsine transformation, 反正弦变换
2 Z$ Y5 v. t. A0 v- i! AArea under the curve, 曲线面积+ \# h" ]; w. `5 F7 w8 q
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 ( _1 E4 G2 }$ [) I( y
ARIMA, 季节和非季节性单变量模型的极大似然估计 ' D l) ]3 Q7 O; m* D
Arithmetic grid paper, 算术格纸
( ]/ g- \4 M4 hArithmetic mean, 算术平均数
: E/ \$ b( q8 ^8 r2 U5 ?2 P7 RArrhenius relation, 艾恩尼斯关系# ~( U) q6 f, y* ]* ]
Assessing fit, 拟合的评估3 e' A. Z0 ^+ c
Associative laws, 结合律. f+ P7 ]" i- ~: H; H, r. f
Asymmetric distribution, 非对称分布
; }, @. y9 Y1 I& w3 n6 cAsymptotic bias, 渐近偏倚
/ _1 e* S& i- QAsymptotic efficiency, 渐近效率
' N: a/ T0 s% aAsymptotic variance, 渐近方差* X8 N2 _ I5 Q6 I; l4 O
Attributable risk, 归因危险度
& E# E y$ \. J( wAttribute data, 属性资料
8 t0 J5 K5 q4 M9 oAttribution, 属性
2 F5 F/ ]' c( _Autocorrelation, 自相关
* x* a2 ^: b. tAutocorrelation of residuals, 残差的自相关- q/ T: p+ l: I" \: h# W+ b
Average, 平均数
" ^+ p4 x/ t) \& r0 _1 \+ R9 MAverage confidence interval length, 平均置信区间长度
2 P: f% ~! W- J! n* g% N+ {Average growth rate, 平均增长率" G* b: \- Y: l4 |, J6 _
Bar chart, 条形图' r' S; s7 D; |: _
Bar graph, 条形图
6 Y4 Z- E% M; r( r4 r8 uBase period, 基期
( `0 R% \' R0 U- d0 C, [4 lBayes' theorem , Bayes定理
& P$ @$ i0 T( K2 Z$ k8 [Bell-shaped curve, 钟形曲线 i- r& P& V1 ?( ~
Bernoulli distribution, 伯努力分布
: o4 {! y4 z2 v4 v; e, E; pBest-trim estimator, 最好切尾估计量* d0 c! F! w0 C$ }0 b
Bias, 偏性1 [- O) A, i: `+ E9 D
Binary logistic regression, 二元逻辑斯蒂回归& u, C% ~" Q& _' W( q
Binomial distribution, 二项分布/ n/ ? n; ^0 Y# u8 S% J A( R$ F$ Y" q
Bisquare, 双平方$ J- x* u( c7 b9 i1 C5 k
Bivariate Correlate, 二变量相关( Q. [: F; T# N3 N2 Y
Bivariate normal distribution, 双变量正态分布3 p" Z5 w, U6 ~: g7 o6 \6 f' a! w! Q
Bivariate normal population, 双变量正态总体 Q3 N4 }0 _3 o
Biweight interval, 双权区间" }$ I* d# m& h4 X. i) R
Biweight M-estimator, 双权M估计量
/ M8 ]5 t( i* b" |+ }Block, 区组/配伍组5 X* Q0 A, [# H; N3 D3 x1 ~
BMDP(Biomedical computer programs), BMDP统计软件包1 S8 J: ~5 j% x1 Z4 O% ^
Boxplots, 箱线图/箱尾图% E, r" p4 Y$ G' D
Breakdown bound, 崩溃界/崩溃点
; V4 r$ W0 s0 U; _, b8 H, h+ ZCanonical correlation, 典型相关1 U( u: ~ S/ Z6 d. W
Caption, 纵标目' K) e& B1 x( ~; M# {5 o1 T$ b0 F
Case-control study, 病例对照研究
: L% k- j- r% \ h, Q4 Y1 t% OCategorical variable, 分类变量
3 z' T: a' y7 O* `Catenary, 悬链线# o3 o7 c2 Y% T, n# v5 T# F- U7 b
Cauchy distribution, 柯西分布
8 ^0 j( S/ p: J7 rCause-and-effect relationship, 因果关系 j) l0 s0 i7 t
Cell, 单元; y" z" D: r: H Q9 f; O5 _/ M5 I5 r) k
Censoring, 终检4 f" k1 X! S& m& L; c
Center of symmetry, 对称中心# ~( s4 p7 {4 }5 m
Centering and scaling, 中心化和定标
/ j/ p( Y2 ^5 e1 HCentral tendency, 集中趋势/ x' p" b) q t5 L, {3 t9 F/ N
Central value, 中心值
+ L, a5 K! ^! p( o& sCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测- u! Q) v0 C! A" R5 Y* h8 s
Chance, 机遇
: f. r' x7 @6 D) p& gChance error, 随机误差
& Q* R0 P) @! F0 a/ |Chance variable, 随机变量3 ~3 _' c! T' h
Characteristic equation, 特征方程+ n! z+ Q- U- H9 `' B0 \9 p) U2 Z: m
Characteristic root, 特征根
5 Q% b& @9 F! O) y3 v jCharacteristic vector, 特征向量
9 r9 v& F3 L( Q' V# oChebshev criterion of fit, 拟合的切比雪夫准则
! a" e5 ^! {6 h; DChernoff faces, 切尔诺夫脸谱图
& ^/ X, N8 h3 K% [Chi-square test, 卡方检验/χ2检验! H9 D. @ q/ ]- {- `' g
Choleskey decomposition, 乔洛斯基分解
( ~7 X, K; q( Z4 w8 [Circle chart, 圆图
& m0 |3 O+ g7 F- F5 w0 y+ ]Class interval, 组距
( e# i+ [ J. _% M2 h$ u+ y& o) HClass mid-value, 组中值
% M5 }" G6 i, \1 }( NClass upper limit, 组上限2 S7 s2 v9 q- S3 [
Classified variable, 分类变量
4 P5 }( O7 G4 D; J+ c" {( nCluster analysis, 聚类分析
! k7 y/ g2 S. W. z& {3 i4 w) x; dCluster sampling, 整群抽样
7 T) D' I0 J6 t0 ], V1 wCode, 代码6 M1 [. K k0 j. j( U: B8 T
Coded data, 编码数据
T+ o, ~* r! {/ yCoding, 编码' P. F' B, q( A. L$ l5 T6 }
Coefficient of contingency, 列联系数/ m- r3 ~! W% a, x/ V: S
Coefficient of determination, 决定系数
/ I" W% S% N3 c8 y$ J0 B* X* yCoefficient of multiple correlation, 多重相关系数
$ h- @3 E8 V& l/ t/ ]Coefficient of partial correlation, 偏相关系数
8 c H. l3 l6 y2 N) TCoefficient of production-moment correlation, 积差相关系数7 N8 O3 l$ M% f0 c) g% E
Coefficient of rank correlation, 等级相关系数
& \' L. B3 m* r. dCoefficient of regression, 回归系数7 A$ Y/ s$ g' o1 G2 {
Coefficient of skewness, 偏度系数
1 U- ]/ ?5 O/ n6 e5 x. mCoefficient of variation, 变异系数& B! q7 k6 \. G1 B( g4 m& `' {
Cohort study, 队列研究
+ |* o! O. {: C& m: b0 a( @1 wColumn, 列* e2 ^3 R6 C$ s m% u, Q
Column effect, 列效应% c9 ?5 A' h$ h p
Column factor, 列因素. c. Q' a1 K: @+ U, j8 u9 J
Combination pool, 合并
6 {9 L F( }7 i9 @( ?Combinative table, 组合表' B g3 h/ b$ i3 z/ \" e9 V. i
Common factor, 共性因子
" P6 _) F; T7 X9 w% W: OCommon regression coefficient, 公共回归系数6 S+ ~6 { x( ~' D, h
Common value, 共同值3 f7 t; _. a" a) K; Y" e o, ]
Common variance, 公共方差* Q8 A( }4 z' x2 {7 K" Y
Common variation, 公共变异1 n9 k7 F$ t6 i, _* u% [
Communality variance, 共性方差$ z. l# G$ K6 e6 k; q ^$ w
Comparability, 可比性( z/ d" g1 T: V6 ?; Q+ c- Z
Comparison of bathes, 批比较
( F8 C3 Q; U3 Z! pComparison value, 比较值
0 Z' b$ U- M. R% |' NCompartment model, 分部模型
B5 C( x, W& jCompassion, 伸缩* P8 e8 w% y9 K! O
Complement of an event, 补事件# h( A( ?: e5 Y
Complete association, 完全正相关; \( h% q; k7 Q1 L/ S
Complete dissociation, 完全不相关1 X3 {7 _1 U$ Z3 c2 |2 A. y( c
Complete statistics, 完备统计量
3 Z, x6 f- j) Z8 Y7 zCompletely randomized design, 完全随机化设计
& u4 a) |6 F# X/ t" bComposite event, 联合事件4 K" G5 H8 _, t; N' J, G7 m
Composite events, 复合事件
8 u4 Y9 q }- p f" I9 FConcavity, 凹性' N$ P! X* ?- [1 Q5 ]0 R
Conditional expectation, 条件期望
* W9 y4 v- w Z* jConditional likelihood, 条件似然 m9 l/ r( f- V! [- a m3 R0 n
Conditional probability, 条件概率
$ o+ B S/ L8 S. n5 i. G( I1 tConditionally linear, 依条件线性
# l( i% e% Z- q1 t& H9 oConfidence interval, 置信区间
9 q' G3 S* R4 w7 ^2 k- ?( MConfidence limit, 置信限
" q5 Z3 U3 u, P0 u& M' NConfidence lower limit, 置信下限+ n0 ?7 C2 X$ y$ w( C3 t
Confidence upper limit, 置信上限& a7 q7 p8 T5 A6 V
Confirmatory Factor Analysis , 验证性因子分析) K1 n- s% W4 s- ~! ^ ^
Confirmatory research, 证实性实验研究
5 l* F. h; K4 ?9 i# M1 SConfounding factor, 混杂因素
& Q5 E8 n; [6 p; t0 kConjoint, 联合分析% w; T7 W7 d0 C2 b$ A
Consistency, 相合性
! | I3 u% Z% s8 t& FConsistency check, 一致性检验
6 z5 h5 o, G4 y* _" PConsistent asymptotically normal estimate, 相合渐近正态估计# X1 g, a1 B0 b+ E# {
Consistent estimate, 相合估计6 x" J5 a+ u' J% g7 c& }4 J" Z
Constrained nonlinear regression, 受约束非线性回归
3 B6 @$ C$ z8 e% A1 o! r5 OConstraint, 约束
2 k2 ]% i9 L+ J( e3 f) f o' {Contaminated distribution, 污染分布% L6 t: {, p1 w* v
Contaminated Gausssian, 污染高斯分布0 j! l( z0 A# v1 a( y& Y
Contaminated normal distribution, 污染正态分布
& C- u \1 d- ?6 t0 nContamination, 污染% g0 p8 G) U8 N9 z4 _5 t) |4 o
Contamination model, 污染模型
, Z2 u V( U' A( s3 @; L% dContingency table, 列联表% x e+ y( [* H8 n H( u
Contour, 边界线
1 M% p. t6 B0 i, Z+ x& @Contribution rate, 贡献率
M: G( d( z& N, W4 ^9 [Control, 对照0 x+ R a C( B* H8 x
Controlled experiments, 对照实验/ l' R6 k+ Q5 ]! P+ [' \8 ?
Conventional depth, 常规深度2 F: m/ m% B; \
Convolution, 卷积
0 [" g5 q5 w/ F! ]Corrected factor, 校正因子, S" |6 p Z$ k9 l) L+ v% \: W5 C
Corrected mean, 校正均值5 O! m$ q3 v4 Q+ G0 S+ I
Correction coefficient, 校正系数2 _; ?* N) U9 |' C8 J
Correctness, 正确性
4 R+ S& K1 c1 U" SCorrelation coefficient, 相关系数
0 | P/ t# L. a: r" F, T6 }9 hCorrelation index, 相关指数0 ^% r" W* I/ j( U1 t
Correspondence, 对应
* d# s: k# c; c s6 T1 k& k- g' xCounting, 计数
2 z1 M, r/ ?9 u( a' [% HCounts, 计数/频数
8 f+ p, R/ ?, a8 E9 }6 V: j2 zCovariance, 协方差7 \" b1 k3 i+ Y: n
Covariant, 共变 ) I* f7 M1 e* d! C
Cox Regression, Cox回归
& w0 U- B; B" l" z4 @- h. M2 gCriteria for fitting, 拟合准则
8 E9 q1 m' K" X* uCriteria of least squares, 最小二乘准则$ L: F0 q; `7 [5 I
Critical ratio, 临界比
7 p# d$ F5 c6 p3 I' l- Q/ `Critical region, 拒绝域* u- v' V1 f% \: k
Critical value, 临界值
. O8 J! T; Z" h# mCross-over design, 交叉设计# n8 V+ c6 I5 P8 e! P8 k" h2 V
Cross-section analysis, 横断面分析% v- m9 n0 D; R& G& X E8 p. ?7 ~5 b
Cross-section survey, 横断面调查 x( Z# \% a3 [) ?2 R, A
Crosstabs , 交叉表 ' g: `9 w) P. @; f4 I
Cross-tabulation table, 复合表( [3 g% r2 G) Z1 \: U' b0 x
Cube root, 立方根) ^6 g ^, a0 |# |: R% U J
Cumulative distribution function, 分布函数: |' f. I3 P0 O" ~- Z! J
Cumulative probability, 累计概率
6 n+ {( K }/ l1 t3 \' f! GCurvature, 曲率/弯曲
% R7 R$ f1 t* Z) w& wCurvature, 曲率$ i: a6 ~' e7 Q+ X
Curve fit , 曲线拟和
. j0 {- ?2 E5 [% [Curve fitting, 曲线拟合
0 Q! p1 M2 h8 X% ]5 [2 \1 jCurvilinear regression, 曲线回归. [8 o* Y+ E0 u- l6 [/ J Y! _7 p
Curvilinear relation, 曲线关系1 W- C$ B E+ \ Y
Cut-and-try method, 尝试法
( E8 H/ o5 a, p. J2 oCycle, 周期
3 ~6 P. G1 E( G/ G; T* n6 x: i! {. {! |Cyclist, 周期性
8 o2 H7 ?/ R% p. T- o& VD test, D检验& @( Q5 k! X4 V6 e; \: E1 O
Data acquisition, 资料收集! ~& X$ ^- G2 V5 ?% R3 m
Data bank, 数据库
& x% k7 T. [4 R+ L4 r* xData capacity, 数据容量
7 u' c. F' B4 t) qData deficiencies, 数据缺乏
" R( ?2 e( F6 P- \" ^# FData handling, 数据处理
; E$ | i& ` AData manipulation, 数据处理5 Q ?6 k. C/ ^* y/ f
Data processing, 数据处理
( Z. o# d3 D; VData reduction, 数据缩减2 u, X$ L3 X% u+ ^; I3 P
Data set, 数据集: b$ l1 A4 @% ]6 L; O* @. F
Data sources, 数据来源9 c1 W; O2 y; ^ J/ w% k8 m+ U
Data transformation, 数据变换" w3 ^% S1 f* H4 O$ D9 }7 ~ @2 n3 O
Data validity, 数据有效性 X( ~8 G3 }/ L" T+ M$ @( i
Data-in, 数据输入4 I) Y' L' b) m7 U, Q
Data-out, 数据输出
. m9 @5 ^& ~* m# A: yDead time, 停滞期$ u3 C8 T6 M2 y# v
Degree of freedom, 自由度
4 T2 t1 r* X1 s2 ?3 w0 QDegree of precision, 精密度
' H7 u) q) E! e: a, `Degree of reliability, 可靠性程度
5 O5 k; w" ]' x3 o0 [. BDegression, 递减. d( V3 c' A! h. @1 {
Density function, 密度函数" a( l: P) }2 s( ?) E2 Z- {# F
Density of data points, 数据点的密度% r+ u3 C F, ~6 v- N) h( d7 c& N b
Dependent variable, 应变量/依变量/因变量3 {" E5 s* Q( [, g. L* i/ V
Dependent variable, 因变量
( Y4 R# t; M1 N: J+ V q0 i5 S( p$ wDepth, 深度
; s' X0 M$ Z3 PDerivative matrix, 导数矩阵5 F9 `3 b4 Y4 _4 a$ p' v
Derivative-free methods, 无导数方法% D0 j; U* G! M- ^
Design, 设计
/ P5 _/ U* \1 ~6 p, ODeterminacy, 确定性$ w' J6 c. v( t$ y1 [% z7 l( j8 c) E
Determinant, 行列式8 m* @! N2 I. x9 c6 R0 F- v' B
Determinant, 决定因素
/ i1 ?: q: f9 g" M8 I: i) b% G4 j2 bDeviation, 离差
( w2 ]# l5 z! Y% N; cDeviation from average, 离均差
3 B( U o6 H0 @& n* ?' u! RDiagnostic plot, 诊断图
$ |% V5 _6 p7 h* A% nDichotomous variable, 二分变量! z b6 _) ]. u& Q: S: ~* l
Differential equation, 微分方程! G: @. B, E/ S0 \9 K t! E. S" l. u
Direct standardization, 直接标准化法' S, k& w3 r, y$ }8 v2 h+ J) D
Discrete variable, 离散型变量
0 H( u" q& e# `7 b2 L( G% ZDISCRIMINANT, 判断 3 z" w5 w0 T% j5 a3 J
Discriminant analysis, 判别分析
0 v/ M' G3 B0 k3 N% gDiscriminant coefficient, 判别系数
$ k$ L W2 K& m- s% l6 c8 c2 ]Discriminant function, 判别值
4 }0 B% [8 G0 H# a; Y; R% @Dispersion, 散布/分散度! c0 o8 c$ F. K4 d7 g
Disproportional, 不成比例的. p2 c* Y* \ n" r0 z1 p
Disproportionate sub-class numbers, 不成比例次级组含量
/ c+ B8 J# l; a' a& cDistribution free, 分布无关性/免分布
3 F$ j" W8 z: o: r5 U7 TDistribution shape, 分布形状
' O4 o- j( n$ c& f. X5 t) SDistribution-free method, 任意分布法
7 H- p9 r9 b& F; iDistributive laws, 分配律" x7 U0 _. A( Y6 ~% I/ Q
Disturbance, 随机扰动项
! ?; e+ s( h- N$ SDose response curve, 剂量反应曲线$ v9 ?, V( H. @1 Q* T6 H
Double blind method, 双盲法+ z: y% ?- T) }# R1 v$ d) t% A5 l) i
Double blind trial, 双盲试验
4 ~0 L+ V+ h8 [8 nDouble exponential distribution, 双指数分布
. @+ E' p7 f0 [9 s+ @Double logarithmic, 双对数
4 n4 g2 G( d# k8 e3 YDownward rank, 降秩3 r! }8 H2 I% j1 a( }
Dual-space plot, 对偶空间图
- Q9 I9 k9 }, o. n. cDUD, 无导数方法7 `* O8 C3 D9 M: w3 |/ n( m0 {8 ?) B
Duncan's new multiple range method, 新复极差法/Duncan新法
. X, x4 W3 F- x4 JEffect, 实验效应
8 |4 Q) Z& f% [* p- j1 \5 MEigenvalue, 特征值
`* C+ J e7 }9 p' I4 y* F+ [Eigenvector, 特征向量* g1 d# o1 {- d2 l# K1 ?- { @1 T
Ellipse, 椭圆
6 Z+ S) x6 ~4 Z6 dEmpirical distribution, 经验分布5 f' f( I/ L5 Q" X: B
Empirical probability, 经验概率单位: P8 B! f) L8 \7 m1 ?. M- n e
Enumeration data, 计数资料
O( S. R" F) K) Y8 Q# B `0 X1 ~Equal sun-class number, 相等次级组含量
+ c* X) P# b2 S1 M9 y% zEqually likely, 等可能4 N9 c) o7 f% N5 Z" X: k
Equivariance, 同变性! J L" `/ G) d; k# M0 h T
Error, 误差/错误$ s( H2 S% G3 a6 [4 G
Error of estimate, 估计误差) V9 p! Q4 u3 H7 f/ w/ b
Error type I, 第一类错误' Z0 u4 J2 W- n
Error type II, 第二类错误7 z9 `! |; H' r/ H3 o! n; I5 e+ B
Estimand, 被估量+ h6 p# }6 Y7 z) n# |8 A
Estimated error mean squares, 估计误差均方
9 ~3 D' u" o1 W' JEstimated error sum of squares, 估计误差平方和3 H3 W* u2 X6 I0 P0 r$ ?* f, T3 M
Euclidean distance, 欧式距离
& p- ~; f; @- x: X, \Event, 事件
% w5 v2 @4 c4 R1 P$ T2 YEvent, 事件( I& M$ k* J: T1 s
Exceptional data point, 异常数据点
$ }* L1 k' v9 ?3 G) F* gExpectation plane, 期望平面
$ A; i. n; p0 G. n9 i1 CExpectation surface, 期望曲面
$ a7 \9 g: R( T0 a- P- QExpected values, 期望值
+ a. Q1 x) L3 M7 f9 k; tExperiment, 实验8 u3 J$ I% n# x& @" B+ V8 ^
Experimental sampling, 试验抽样4 w4 n# o3 \ ?, B2 b
Experimental unit, 试验单位
' ]6 [/ ^7 k" S% H: cExplanatory variable, 说明变量% G# t. q, Y# x* U6 [# e
Exploratory data analysis, 探索性数据分析
% k9 G4 Q: s! S# o, d9 oExplore Summarize, 探索-摘要
2 r5 E1 O; C$ w5 m L8 ]1 SExponential curve, 指数曲线
0 z1 u( y: W9 `9 x" oExponential growth, 指数式增长! m+ L! `' v& s* X s( ?
EXSMOOTH, 指数平滑方法
! O8 k. Q/ m# s; B+ JExtended fit, 扩充拟合
0 @- R$ g: m5 q/ {- [# m5 k% j$ A7 h+ ?Extra parameter, 附加参数
) ?0 a# r0 v3 TExtrapolation, 外推法
; g- Q/ R6 a; e1 aExtreme observation, 末端观测值* U+ [/ L6 r% Z
Extremes, 极端值/极值
- k! K- M# y# k* ~F distribution, F分布4 ]( f& D4 q+ @& B5 j! z; \+ O3 d% R
F test, F检验
$ P! M5 h, C( ]/ j+ }: @Factor, 因素/因子$ o# f, a$ g( K# n6 ^' q6 O
Factor analysis, 因子分析0 G; D9 v0 C# }8 O
Factor Analysis, 因子分析
+ g7 J- Y0 G# h- rFactor score, 因子得分 " V3 Z1 @, {3 b+ L+ l
Factorial, 阶乘# R. T9 M1 u9 J: Z# H [5 _
Factorial design, 析因试验设计9 P6 M5 t9 ?) _, O$ G
False negative, 假阴性
% T% _: m5 P2 CFalse negative error, 假阴性错误0 W/ p( {+ S# r% M& f( M% l
Family of distributions, 分布族
7 m: p/ c6 j' @, \7 zFamily of estimators, 估计量族
$ y2 K/ Y9 m G6 W& V# LFanning, 扇面& W( q0 D8 t- M+ A# V$ r% M0 T
Fatality rate, 病死率
/ T" U- P8 p/ L" I$ XField investigation, 现场调查
5 `4 z% {/ K, u5 z$ y; A( r7 SField survey, 现场调查; P. U3 z9 k4 _# H
Finite population, 有限总体
, X. F' K* v9 d! g' wFinite-sample, 有限样本
+ p) O( X. c' f- E2 jFirst derivative, 一阶导数4 \; z0 s) S! x0 p
First principal component, 第一主成分3 G: t$ X5 b# r) m! i
First quartile, 第一四分位数
% k) G8 I( O6 ?% l! z I+ JFisher information, 费雪信息量; J4 D# M0 ^3 z6 m; s; A. J5 |
Fitted value, 拟合值1 N% t3 a$ X4 d( Z. W
Fitting a curve, 曲线拟合
/ X6 e: O n3 N+ H- T+ M7 H7 UFixed base, 定基- l) j4 N9 k# n* b7 Z9 S
Fluctuation, 随机起伏
0 R7 ^% v% n% b' a% kForecast, 预测
# l1 k. p" P0 M9 u8 b: Z- ~Four fold table, 四格表
7 W0 M1 S4 O% h4 ~) L$ ZFourth, 四分点& s$ k3 ^' E! Y! T. Q
Fraction blow, 左侧比率
. n1 y! s$ B$ {/ w! c* n2 N& s9 h" W& LFractional error, 相对误差
( I' k3 I- l" bFrequency, 频率
" }6 A- n: c3 E/ o( Q4 ?Frequency polygon, 频数多边图
5 G( a; n6 A2 x& w7 SFrontier point, 界限点9 Y5 `) X8 o- a& ~
Function relationship, 泛函关系
; O) X N1 k8 i1 x- |Gamma distribution, 伽玛分布
* w% _4 o- Z/ T% _) mGauss increment, 高斯增量
3 W G( ^6 L3 s9 \: w# f7 W1 y" nGaussian distribution, 高斯分布/正态分布
- a+ c0 { R' a% {Gauss-Newton increment, 高斯-牛顿增量/ P3 u, J c0 Z2 \/ g
General census, 全面普查$ C) B+ n' j9 G" w8 F, P: G8 b, C
GENLOG (Generalized liner models), 广义线性模型 4 l1 b/ v+ r- W0 N4 N
Geometric mean, 几何平均数
" i7 B1 Z- N# M- L% j- AGini's mean difference, 基尼均差
y& p2 g' f7 ~/ \# }# M$ o; j# R0 }GLM (General liner models), 一般线性模型
* x% A( O1 P) r9 C* dGoodness of fit, 拟和优度/配合度
: P0 n8 f8 o# X. s+ eGradient of determinant, 行列式的梯度9 s6 f# M/ W, J7 f, _
Graeco-Latin square, 希腊拉丁方, q8 R/ r3 Q5 A2 r" K/ [
Grand mean, 总均值# F: I: ^& {+ a9 a; k
Gross errors, 重大错误1 [6 g* ]5 D; H# ?; C2 t
Gross-error sensitivity, 大错敏感度
1 m$ o! {1 {3 R: k- hGroup averages, 分组平均
2 z) `* n ?" V! @1 u. i2 j! g8 M+ y. MGrouped data, 分组资料
$ D ]9 ] c: M8 nGuessed mean, 假定平均数- p- c. B) n6 K3 o4 l
Half-life, 半衰期, m# q6 z0 E$ v* l$ Y G
Hampel M-estimators, 汉佩尔M估计量9 W; ]; y) _1 j3 C
Happenstance, 偶然事件$ H. Q4 Z% K1 V4 [) Y' }' Q
Harmonic mean, 调和均数- w' z' a( s, Z" `" A6 m/ r
Hazard function, 风险均数' a6 }6 L3 P& L; M
Hazard rate, 风险率
5 |; k2 P( o* [( m8 |Heading, 标目
1 l$ H* v2 ?' K: WHeavy-tailed distribution, 重尾分布
0 @% u% ^6 L$ t: i7 X5 ?Hessian array, 海森立体阵% L% s% u' t! U
Heterogeneity, 不同质
$ F' x+ h; t4 x6 A4 V1 X* a6 }! N0 nHeterogeneity of variance, 方差不齐 # k: l/ k* k$ H/ P
Hierarchical classification, 组内分组* X3 E7 `* G0 R) U' F) r
Hierarchical clustering method, 系统聚类法
: y2 u/ j O: h# O7 |2 `5 z* jHigh-leverage point, 高杠杆率点
# g- \9 z1 _) o! n* W- pHILOGLINEAR, 多维列联表的层次对数线性模型
: B2 C/ W& U! ^3 fHinge, 折叶点
1 ]' H' [! w& F& h" ]: |Histogram, 直方图
8 b9 i6 z; D( ]9 r9 Y. n. XHistorical cohort study, 历史性队列研究 + j! T/ Y: \+ V5 H+ g$ }
Holes, 空洞
! h" L9 s5 Z5 Y2 d8 THOMALS, 多重响应分析' f, S* r0 d# E
Homogeneity of variance, 方差齐性
6 |& }3 _& E' N0 A) W) P- XHomogeneity test, 齐性检验
Z2 Z; n3 @ e2 C5 m* THuber M-estimators, 休伯M估计量
# l I4 Y, d: _7 Z9 m4 |7 l# NHyperbola, 双曲线
% y z4 U' {- Z# b$ n% _Hypothesis testing, 假设检验- c+ O% u0 w& C* i3 W( x& z
Hypothetical universe, 假设总体& D% u! C5 L) k# e! \0 d
Impossible event, 不可能事件* o) P+ Q, ^ d$ \+ R7 ?
Independence, 独立性0 Y, e' d1 h2 r, ~% b" |
Independent variable, 自变量
/ J! ]! }# k2 x& U5 n" N4 IIndex, 指标/指数. ^3 K2 d# l- t3 x9 x
Indirect standardization, 间接标准化法3 z6 b$ u8 r6 R9 r7 R
Individual, 个体! r- P. O9 I% ^ {: A+ B
Inference band, 推断带* i% d7 R' q2 R+ g3 k0 F) H9 K6 k
Infinite population, 无限总体* s$ n: _; ^# u5 O
Infinitely great, 无穷大
2 L6 ~& U2 m5 Y6 j3 y# vInfinitely small, 无穷小
/ |% o+ R& G6 l; ~' j1 JInfluence curve, 影响曲线' N' R/ R! T' o [
Information capacity, 信息容量5 {, l" i( p# K8 g- L9 Z- c) D
Initial condition, 初始条件
2 U. L) ]/ w% U; _. L' aInitial estimate, 初始估计值2 o7 Z1 Z! X% H! T+ T
Initial level, 最初水平
* y9 x5 o1 q- G! C! h9 q- k! R4 ]Interaction, 交互作用
! p, L) _6 _9 h( [5 OInteraction terms, 交互作用项
; r4 z6 t2 d# W3 k6 sIntercept, 截距/ p: t r1 o: j& p" ]: d. ^
Interpolation, 内插法
2 ~7 X4 U/ F9 d6 E) b4 O3 YInterquartile range, 四分位距
9 n/ ~( P5 z+ ]" q3 hInterval estimation, 区间估计
V* ?- W% A4 P/ f) b7 {8 w/ ?6 d9 SIntervals of equal probability, 等概率区间
0 P6 R+ K/ v# V% ]Intrinsic curvature, 固有曲率& u' @" H& z& F# x$ r$ s
Invariance, 不变性/ d# D5 i$ U" `( @+ R# r d$ e
Inverse matrix, 逆矩阵( O. B. ~, f, P$ L- H6 d0 @
Inverse probability, 逆概率) |7 D$ C4 p& M( r7 i8 _
Inverse sine transformation, 反正弦变换
" x) e4 E8 E5 G6 SIteration, 迭代
a; l: W! U( m1 E! c0 FJacobian determinant, 雅可比行列式
1 F+ d; Z9 y2 o8 K$ E( xJoint distribution function, 分布函数8 ?$ ]$ o+ [. V+ ]: h9 A
Joint probability, 联合概率
- a2 }2 J4 W# P" c6 uJoint probability distribution, 联合概率分布7 E) T3 m6 s, N6 ^$ T6 X# g- E7 T. ]0 ^
K means method, 逐步聚类法; s2 k" p/ I5 i5 u- k- a
Kaplan-Meier, 评估事件的时间长度 ) w' l# u) v& M
Kaplan-Merier chart, Kaplan-Merier图: b+ w3 r+ w( Q4 ?7 N- r; P
Kendall's rank correlation, Kendall等级相关7 [# G/ o1 s% p5 ?
Kinetic, 动力学
$ n6 a6 Y o" e+ D& fKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验- n3 y) s. l" U% E# D! O
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验' H6 u9 A' S& G+ D `3 O! d
Kurtosis, 峰度
( U* x, E$ |/ f7 XLack of fit, 失拟
! H ]* A' C6 f: _4 ELadder of powers, 幂阶梯4 V6 Y6 B, |1 c- G
Lag, 滞后
( }2 z5 N$ A3 ]* y& f" V6 KLarge sample, 大样本
1 w# }9 Z0 c! oLarge sample test, 大样本检验( i/ Z7 i1 l. F) A
Latin square, 拉丁方1 q7 e0 s" h! j& I7 J
Latin square design, 拉丁方设计
( G T' f0 d: W+ aLeakage, 泄漏7 f! p; y! H1 ~/ q1 c
Least favorable configuration, 最不利构形0 `; m" u+ |- l0 {# ?7 F
Least favorable distribution, 最不利分布
8 X9 [" A$ }5 V2 B3 xLeast significant difference, 最小显著差法+ n( _6 O" u# U! [* H) x
Least square method, 最小二乘法, K4 ~$ T% L- c0 I
Least-absolute-residuals estimates, 最小绝对残差估计. w! i1 k# P( X, }7 Q
Least-absolute-residuals fit, 最小绝对残差拟合
% \0 a) U: \# ~Least-absolute-residuals line, 最小绝对残差线' P, e+ }; u; V% ?$ l( `
Legend, 图例. U! t \0 N- G7 ?. \
L-estimator, L估计量. s" r0 y- `$ J; F3 W: |8 o+ J
L-estimator of location, 位置L估计量1 O+ q) k& j; x: Q
L-estimator of scale, 尺度L估计量. n% S2 F! a' z+ v' R
Level, 水平
0 P. k$ S& y3 ^Life expectance, 预期期望寿命
/ J$ w: ]/ l; N6 Z5 WLife table, 寿命表
+ P, K! q1 [; J& L( P/ ^* d1 yLife table method, 生命表法
; `1 R W; a! X' WLight-tailed distribution, 轻尾分布8 e0 P+ }. {6 U( o
Likelihood function, 似然函数/ b$ e2 [$ G/ J: q4 |/ E1 W
Likelihood ratio, 似然比
( q+ N. @1 @- o% A# kline graph, 线图+ w- v6 H7 p5 n' M4 q7 Z8 B9 K. l9 d) S( V
Linear correlation, 直线相关" d& i# P: {0 K% ]# _8 m
Linear equation, 线性方程) N; @7 v) T( e1 B" P
Linear programming, 线性规划9 K+ V% N) H- A* d
Linear regression, 直线回归
% ^2 @8 ~% D2 F& V7 I" C. E2 vLinear Regression, 线性回归
" {2 e* F. I2 a* e" R/ R; F- dLinear trend, 线性趋势
- n6 ?" O; x& c. yLoading, 载荷
/ b g8 T F! k4 c% YLocation and scale equivariance, 位置尺度同变性
9 B0 f6 ]: A0 @3 bLocation equivariance, 位置同变性( E4 ` w" A; m# C2 p/ i" S, e
Location invariance, 位置不变性1 ^8 [! p! b4 F. a; e4 \# h: M+ N
Location scale family, 位置尺度族
# _( z9 w1 I' v6 X/ JLog rank test, 时序检验 ; a! |9 |) N0 y/ K% _
Logarithmic curve, 对数曲线% H4 Q H# V9 u6 Y+ |6 t) O+ R4 C
Logarithmic normal distribution, 对数正态分布
3 w. R5 Z) [8 ]" x# ]Logarithmic scale, 对数尺度
' B2 y3 g5 I& B, YLogarithmic transformation, 对数变换2 e2 k' f/ }1 _
Logic check, 逻辑检查$ F$ `6 g* P. P
Logistic distribution, 逻辑斯特分布5 J! \( p+ g0 ?& M, }4 J" G5 r8 x5 N
Logit transformation, Logit转换
' d0 b2 }5 ?1 s. V( hLOGLINEAR, 多维列联表通用模型 7 \5 H$ o% q6 h- L& O
Lognormal distribution, 对数正态分布/ A5 y6 d* v) n' P& D7 ~
Lost function, 损失函数
- d3 i M: d) F* iLow correlation, 低度相关
, i. z( ?5 H- P2 e0 L' H6 _Lower limit, 下限3 E2 }/ ]# P' y2 w
Lowest-attained variance, 最小可达方差
; R: K, \9 `. k8 y! s" ALSD, 最小显著差法的简称
- \* S/ U8 {# LLurking variable, 潜在变量
( D# [' f( e3 ?, v0 T6 jMain effect, 主效应( L" t. P, f* C
Major heading, 主辞标目, S8 e# N2 X" E
Marginal density function, 边缘密度函数
/ A" M3 o6 E# m8 C! J! WMarginal probability, 边缘概率/ R8 v' }3 h6 ]; Q
Marginal probability distribution, 边缘概率分布
0 O3 Z, h1 f* XMatched data, 配对资料
1 x2 ^) \, R8 b# uMatched distribution, 匹配过分布6 T$ h6 `0 z& K& J I; t% P
Matching of distribution, 分布的匹配
6 c: X5 L& @4 b7 HMatching of transformation, 变换的匹配
9 h( L% F4 S1 VMathematical expectation, 数学期望
5 @/ U( D$ b/ M- o: S; yMathematical model, 数学模型1 O" L$ q2 ]( ?) L' N" h; X
Maximum L-estimator, 极大极小L 估计量
$ @5 q! I) w' A; f4 N; B. QMaximum likelihood method, 最大似然法
" w( t# K! L# h& S* a0 ^Mean, 均数8 R# Q/ v& \ B) O4 X
Mean squares between groups, 组间均方2 R# q2 }! q5 ~1 l. R; \
Mean squares within group, 组内均方/ u$ T/ P% B& Z3 ~4 S3 u* @
Means (Compare means), 均值-均值比较2 [& M, L7 ^. B& R/ j
Median, 中位数 V2 z6 {' F+ @) t9 |" [( _! g+ u
Median effective dose, 半数效量
0 g" S, |' [+ lMedian lethal dose, 半数致死量% j5 ?$ `! a- q
Median polish, 中位数平滑
1 {3 d6 r7 p) z* m. `8 uMedian test, 中位数检验' L% }& S3 |7 \3 H$ B- j0 }) [/ s
Minimal sufficient statistic, 最小充分统计量
% X9 } Y3 W, o8 J; j* q3 sMinimum distance estimation, 最小距离估计& Y( M1 l5 _7 t
Minimum effective dose, 最小有效量2 z8 L: C$ M7 l4 W( K9 ?- _
Minimum lethal dose, 最小致死量6 u6 t2 H% z1 ~5 Y$ d
Minimum variance estimator, 最小方差估计量7 s+ a' q$ b9 p4 p% h
MINITAB, 统计软件包4 W0 U2 g0 P$ s( D
Minor heading, 宾词标目7 `7 V* v. w* W+ \% V
Missing data, 缺失值' X2 E% ]+ S, A' u+ U
Model specification, 模型的确定' H1 i6 z" l* F9 h) r5 D
Modeling Statistics , 模型统计
, o. ?7 o# P AModels for outliers, 离群值模型
4 G' A& ^% O L6 L7 G' UModifying the model, 模型的修正! {& a$ r* U8 j0 m
Modulus of continuity, 连续性模
. Y1 q1 R* Y- s# u$ v0 f/ eMorbidity, 发病率 # z. m; t0 J" K7 ]& w7 M7 ?
Most favorable configuration, 最有利构形! h9 l# Y9 z1 j
Multidimensional Scaling (ASCAL), 多维尺度/多维标度8 G+ [) D% H4 x6 b- A
Multinomial Logistic Regression , 多项逻辑斯蒂回归
) @; a& B: {. S rMultiple comparison, 多重比较8 F1 }4 N. q) ~- ~# v
Multiple correlation , 复相关$ [3 h# p8 k: l; H* x! k
Multiple covariance, 多元协方差
2 m: M5 D; ^3 y3 T" ^Multiple linear regression, 多元线性回归0 ]$ @! g% q. R, i$ f
Multiple response , 多重选项' T4 d! S, _! {. N
Multiple solutions, 多解
% x. e0 E) a% XMultiplication theorem, 乘法定理1 w# |5 p5 B6 z' w
Multiresponse, 多元响应
1 W$ m0 `; U( l: ?Multi-stage sampling, 多阶段抽样
2 C( p/ U, ?: P) t* |6 U% SMultivariate T distribution, 多元T分布1 H1 Q4 U2 R; P
Mutual exclusive, 互不相容
: a" F) Z% b* ]4 r3 XMutual independence, 互相独立
( {, q# u4 D' o w( p [ Y' _' ENatural boundary, 自然边界% c9 `. v9 ~& H" ]2 R# B
Natural dead, 自然死亡5 k W6 e! b2 Z9 a
Natural zero, 自然零
3 Z) K7 V0 r& ~/ f$ _6 rNegative correlation, 负相关! w! n$ X. t, W+ O3 w. ?6 e
Negative linear correlation, 负线性相关
! P# e% A3 n TNegatively skewed, 负偏1 Q, x% s) W+ p0 [* o* R
Newman-Keuls method, q检验1 {+ t4 [' D. [( C7 x9 o* p
NK method, q检验- o2 E2 f/ Z! }' F4 E; c& h5 G
No statistical significance, 无统计意义
& s- t+ v7 b7 k; }' k* WNominal variable, 名义变量5 g' r. X* P; h
Nonconstancy of variability, 变异的非定常性: P+ |7 b+ A6 @
Nonlinear regression, 非线性相关. i$ }" a6 ` G! {
Nonparametric statistics, 非参数统计8 r2 }' g4 M& \ L4 _( e, e
Nonparametric test, 非参数检验8 p5 t" ?$ c9 x3 ?# L& E3 T. u- _
Nonparametric tests, 非参数检验
0 n8 I+ x" B" `Normal deviate, 正态离差
* G% p8 x- ^$ ^" n, I% N- _Normal distribution, 正态分布$ E( a0 L ], N N& h: ]) j) S
Normal equation, 正规方程组* z( ~ C7 t! w! t$ f
Normal ranges, 正常范围8 S7 g# r+ t( G8 y. B' u2 v/ U3 S
Normal value, 正常值
/ }" |" V* o# F( y( SNuisance parameter, 多余参数/讨厌参数
/ W$ E# y- y) D6 j1 B# H! w- {Null hypothesis, 无效假设 9 K; p, {$ w0 A. i* T3 l. s/ t
Numerical variable, 数值变量/ T/ g3 W- P( M% s* f! g% Q6 K
Objective function, 目标函数
1 [$ O9 ~, c. U! a5 _& S# ^! E3 GObservation unit, 观察单位/ |* T2 e7 N: E' W! c3 x
Observed value, 观察值
& Z) q" Q; C. \, ^! g* C, _( A3 xOne sided test, 单侧检验
# W Y6 } x$ R' M( gOne-way analysis of variance, 单因素方差分析
2 x5 S4 b9 S+ p( a; t" R' jOneway ANOVA , 单因素方差分析
6 s ?6 d; `& q! q4 k! j% SOpen sequential trial, 开放型序贯设计) I# B+ a4 z; R: I
Optrim, 优切尾' I. M1 V4 a$ P+ d9 ~8 ^! g
Optrim efficiency, 优切尾效率- w( V: W i# p( m9 r8 O, Y8 W
Order statistics, 顺序统计量
1 w. L; f4 _- D: h: l9 C: y: kOrdered categories, 有序分类( g. K/ ]. k, T% h2 [- H( b* |
Ordinal logistic regression , 序数逻辑斯蒂回归, g3 @( F/ q2 O5 B) e
Ordinal variable, 有序变量9 S& J Q) r3 H( P: R1 T. m- t
Orthogonal basis, 正交基) R2 B' \4 D# S, P; O( C% @
Orthogonal design, 正交试验设计
! c; w) W8 O8 o! W2 ~. j; LOrthogonality conditions, 正交条件# {9 l5 N/ P- E% y5 t) }
ORTHOPLAN, 正交设计 ) v! i4 Z/ j2 k3 R) B6 U! _
Outlier cutoffs, 离群值截断点% Z6 N% q% _; _
Outliers, 极端值
; ^# x9 H, f; K6 Q, _8 D# iOVERALS , 多组变量的非线性正规相关 7 p. j8 y4 z. m* e
Overshoot, 迭代过度
9 U6 o: ~3 L2 v; t! u5 b0 `Paired design, 配对设计
& R8 K! h/ l. |- R! _Paired sample, 配对样本
u. O9 z7 a( gPairwise slopes, 成对斜率/ U1 o' ~! u! j8 h- g
Parabola, 抛物线2 Y7 G! ?! j; T" f& n* J
Parallel tests, 平行试验
6 U3 u% v7 F6 ]+ nParameter, 参数" c" W' A5 _, O$ J1 x
Parametric statistics, 参数统计; {: }) Y, @. U9 [
Parametric test, 参数检验" S& ` T" K* T8 n
Partial correlation, 偏相关
) g' j' [. e- Q8 u/ n4 p! p+ t6 N$ EPartial regression, 偏回归
8 N# T! d; m, r/ B+ Y8 ]Partial sorting, 偏排序* ^* N$ ~5 V1 B7 G
Partials residuals, 偏残差
3 W( W) o$ A! y2 Y* I; d. _* SPattern, 模式* H8 r% H# m" G) }
Pearson curves, 皮尔逊曲线
/ t8 E/ O# d1 S/ F9 y, O# h2 SPeeling, 退层6 X& K/ T7 e/ B a; t; _' k
Percent bar graph, 百分条形图# X& z- f! }5 L9 I3 }9 p
Percentage, 百分比& D5 @' e+ Q c) c$ p2 [* s
Percentile, 百分位数
: D L7 r$ H, s0 O- ePercentile curves, 百分位曲线& d5 I. F+ h6 b% `' i
Periodicity, 周期性- P5 J2 I9 ~7 ~* O, q, H
Permutation, 排列* N l2 T% m7 A
P-estimator, P估计量
! C& l; p. ]" P% e. l! s6 u# lPie graph, 饼图
) N' }! f. M. i8 {Pitman estimator, 皮特曼估计量
$ j' v# h& w# D) E OPivot, 枢轴量! o2 D' \4 o; Z
Planar, 平坦) G2 _8 P* |+ ~
Planar assumption, 平面的假设
9 |3 z# P& z" Z) I* }% sPLANCARDS, 生成试验的计划卡' I9 Y* ?: [- L2 U- x% ?
Point estimation, 点估计0 Q1 V: @6 ]/ K0 J* t: w
Poisson distribution, 泊松分布
0 D b# W8 B# r* QPolishing, 平滑
0 v- u! Q w# b7 V4 O; m& k! u z* SPolled standard deviation, 合并标准差
0 V! C: l/ h1 M/ |Polled variance, 合并方差
# K+ \' ^9 t- O I# GPolygon, 多边图- r0 E2 \* W/ Q$ s1 u
Polynomial, 多项式
# ]8 H* S3 P) X/ qPolynomial curve, 多项式曲线
. v5 [2 u* D* m9 ]% T4 QPopulation, 总体# d9 _( i; w/ }4 U/ }
Population attributable risk, 人群归因危险度/ m* f" a. s# U! `; P
Positive correlation, 正相关
. I5 \0 d, L) d8 vPositively skewed, 正偏
. |! x; K# m( R2 O. k' ~) mPosterior distribution, 后验分布
. Y. d+ _8 W( o4 s4 h3 X. }# {3 q2 hPower of a test, 检验效能
' C, p: Y% |( P$ }6 y4 R- aPrecision, 精密度- n& w+ B/ v3 S
Predicted value, 预测值+ e3 i% f' g0 C1 t5 ?3 r
Preliminary analysis, 预备性分析9 b9 k/ z/ K+ ~, h
Principal component analysis, 主成分分析) F, w# ~! o J5 L* |* q
Prior distribution, 先验分布* `8 H6 F& }, }0 W/ Y4 L; g
Prior probability, 先验概率; n' {. e4 d6 k0 `4 r6 x) W
Probabilistic model, 概率模型
9 {# ?0 P9 z* e: `, gprobability, 概率
( p9 a+ c/ `( ]- V# FProbability density, 概率密度
( x7 D5 V6 E0 ?5 v8 r KProduct moment, 乘积矩/协方差# r5 v/ h8 ~; H9 Z. Q7 _ r* h
Profile trace, 截面迹图$ D4 }/ P* `2 S2 n& e! r
Proportion, 比/构成比! i- m- h. S, k
Proportion allocation in stratified random sampling, 按比例分层随机抽样' u* L) E+ t. G4 \& j( n. r5 B6 G8 M
Proportionate, 成比例
" K/ C5 ]0 K A3 n/ n% k9 vProportionate sub-class numbers, 成比例次级组含量
% P! V$ }! ~: ^# h AProspective study, 前瞻性调查, U; n% ~. u( @7 M/ d
Proximities, 亲近性 5 c+ | H1 W# ^# @1 S3 m, }
Pseudo F test, 近似F检验
* x" F/ n! T7 }5 d1 `Pseudo model, 近似模型1 W1 |. G" z) b" t9 n& Y
Pseudosigma, 伪标准差
! f, d F, r2 X5 lPurposive sampling, 有目的抽样
! W* x# v' z8 S( C' P+ W1 C$ j: wQR decomposition, QR分解& | P0 ^; M. u7 c5 K7 c
Quadratic approximation, 二次近似
# Y+ m6 U' e" I! WQualitative classification, 属性分类& L* a( |0 o2 [
Qualitative method, 定性方法! g. g- T) {. S& s U
Quantile-quantile plot, 分位数-分位数图/Q-Q图
+ b4 `( M9 |: w; J. sQuantitative analysis, 定量分析8 |6 I2 D6 K" x' z
Quartile, 四分位数
# n7 u! g7 R7 zQuick Cluster, 快速聚类
8 |: C2 ]( a' @; FRadix sort, 基数排序% |5 N# c: F. @/ `
Random allocation, 随机化分组 i) S2 k/ w7 c9 y3 p1 G! n! x- N P$ g
Random blocks design, 随机区组设计
/ ~+ X, n/ E3 H. Z# L; |0 CRandom event, 随机事件
4 H3 ~8 I/ z9 X+ B4 J5 ARandomization, 随机化* B* k: L9 a6 g x% X7 F5 T2 R
Range, 极差/全距
! i/ W% w2 N0 d3 p* u% URank correlation, 等级相关7 N* s) E% Q# }- E+ T8 d# }. H6 R
Rank sum test, 秩和检验
0 ~3 e/ [2 w* X0 q8 [Rank test, 秩检验& M9 |; v- O3 n
Ranked data, 等级资料1 N+ }. P" r0 g! Y( C# s
Rate, 比率( P5 p: F% ]- J- Q6 g U
Ratio, 比例( `" C9 {+ }2 ]1 k" o# R1 u
Raw data, 原始资料) n5 L: h" H- x+ D8 |6 s! I
Raw residual, 原始残差0 r4 m2 b e9 `0 Q. {# `
Rayleigh's test, 雷氏检验$ ^# L; j. C7 A9 Q1 t3 t
Rayleigh's Z, 雷氏Z值
4 s& T5 X) |1 z2 j8 J; EReciprocal, 倒数
5 {6 B# G- n0 b+ A BReciprocal transformation, 倒数变换
' ?2 y5 P: A4 \Recording, 记录8 h# D- X8 Z D/ r: j/ f
Redescending estimators, 回降估计量" i+ f7 c( H* f! b0 K9 p
Reducing dimensions, 降维# p8 I) K4 [9 h. G0 T5 R% c* D
Re-expression, 重新表达
1 M- u7 y% \) \( {Reference set, 标准组
2 l) H, Z* N: h T: j5 bRegion of acceptance, 接受域" H7 z- a9 r9 C% V& p/ G6 P
Regression coefficient, 回归系数
7 `0 U. z6 c& q8 |" pRegression sum of square, 回归平方和: B" z9 u5 T1 Q! i2 T
Rejection point, 拒绝点" \! D3 ?" `; w* ?: ^
Relative dispersion, 相对离散度
2 d3 C/ W" I' e3 j, e+ R5 W! ^* [! ]Relative number, 相对数
# h/ d. B- d% H1 y. k6 LReliability, 可靠性, [' A4 J/ E: w9 t! k
Reparametrization, 重新设置参数
0 i5 W8 Z: j! p6 m' [' `Replication, 重复! B% m- s, J8 |1 R$ g$ u# \
Report Summaries, 报告摘要- ~' \) g8 {& j9 X1 B% P. |
Residual sum of square, 剩余平方和 Z7 M, n. |7 @0 J0 s
Resistance, 耐抗性
! U1 `1 L) `/ fResistant line, 耐抗线/ G0 x+ I$ ^! A4 I
Resistant technique, 耐抗技术; g* z, h. R6 Z6 A
R-estimator of location, 位置R估计量" i0 \/ _1 K% Q" j( I1 ^/ o A* {
R-estimator of scale, 尺度R估计量$ {1 [4 |1 @9 U6 C$ n( M: X
Retrospective study, 回顾性调查- B) O# ?5 N8 ?5 G! n. {& I5 l
Ridge trace, 岭迹; J Y1 D3 O) @: ?8 s
Ridit analysis, Ridit分析8 a X% F' v( G% t4 I
Rotation, 旋转5 ?# f7 w& l. _& S7 l; p
Rounding, 舍入' o- D' c, Z: }+ W4 P/ t% o( B+ u
Row, 行
2 e- h2 t: b$ W0 JRow effects, 行效应
" A5 h7 F9 }/ xRow factor, 行因素9 h) m" t8 s' n' i
RXC table, RXC表
4 B5 F5 |0 _. g! m& ESample, 样本+ j( q2 V! l e; N
Sample regression coefficient, 样本回归系数7 J! N4 M$ \ U% o
Sample size, 样本量
. i4 V9 {0 l5 @9 ? i; N% ySample standard deviation, 样本标准差9 e% Q6 C8 g) j7 T. V4 `
Sampling error, 抽样误差8 Q& E3 z9 }- x4 M7 A
SAS(Statistical analysis system ), SAS统计软件包* f3 u0 A, K( t' y; d5 ^
Scale, 尺度/量表
3 q& W9 A" n7 |. J. sScatter diagram, 散点图- z, J( D$ \7 d/ _4 N( e) A
Schematic plot, 示意图/简图
% T2 g; P3 U4 I4 NScore test, 计分检验
& j) ^6 B0 l0 }6 wScreening, 筛检
( h& t, a; h7 o% z" B, }SEASON, 季节分析 ~5 f1 B9 T0 m Y7 r4 a& w2 d
Second derivative, 二阶导数9 D, H! I2 n1 k- t/ x" ~; n
Second principal component, 第二主成分' a) t; R7 V; c6 Q5 q
SEM (Structural equation modeling), 结构化方程模型
( j) a0 e# h9 z( A9 ~% WSemi-logarithmic graph, 半对数图
& m; K1 J) L! N8 S& @3 DSemi-logarithmic paper, 半对数格纸% v$ b5 U7 h5 [5 Z8 V- K- Y, o
Sensitivity curve, 敏感度曲线
3 X2 e' _7 C$ y) N% ]9 ]2 SSequential analysis, 贯序分析: ~! {0 ^8 {9 e4 Q7 o+ h
Sequential data set, 顺序数据集+ v% b1 r5 j5 K
Sequential design, 贯序设计2 a4 }- H5 Z& r
Sequential method, 贯序法* h. ?2 f6 L5 d1 E
Sequential test, 贯序检验法
5 \7 P6 @9 j+ E% b3 Z: U$ cSerial tests, 系列试验6 I3 E$ @3 P9 q& m3 s [
Short-cut method, 简捷法
: m2 Y8 m0 X# `0 L2 hSigmoid curve, S形曲线! z4 W4 f6 t8 j' I: P `* ?
Sign function, 正负号函数
5 x3 O; ^; R8 s' T$ b( \( VSign test, 符号检验
+ L+ d- C- w- Y$ c1 ?Signed rank, 符号秩
8 b( ] V& H3 @) r0 CSignificance test, 显著性检验
* R. U' q8 y! `. t5 s0 K. q3 N8 G$ eSignificant figure, 有效数字
( q. R# c, E3 c" t! QSimple cluster sampling, 简单整群抽样; V; x7 k- X, ~3 [8 N, q/ U
Simple correlation, 简单相关. c+ l1 Z0 u* h5 x: P7 p: ?* C& M
Simple random sampling, 简单随机抽样. {5 r, n$ ]6 a& A( M
Simple regression, 简单回归" S5 u/ @! ~( Y" G
simple table, 简单表
# h' n b3 P7 U6 `: {( R" mSine estimator, 正弦估计量
% \" T1 G$ I1 K) mSingle-valued estimate, 单值估计
$ Y3 h: E9 t# o! q5 O2 uSingular matrix, 奇异矩阵
3 _3 C8 c) ^) O6 P9 Y0 i5 PSkewed distribution, 偏斜分布$ w; U$ G5 U$ r4 V. n4 S! D% Y/ p
Skewness, 偏度) w+ ]( c! d$ o5 F- s" [
Slash distribution, 斜线分布
2 V5 B3 }( Y! M% LSlope, 斜率. _+ M5 l7 U2 T% C/ t% B
Smirnov test, 斯米尔诺夫检验' a9 J9 b8 f. [) |; F
Source of variation, 变异来源
4 U ?, p" a8 p- S1 d- G7 _Spearman rank correlation, 斯皮尔曼等级相关0 s( `& `# T' Y7 Z) o9 p
Specific factor, 特殊因子
w7 g/ P& m, GSpecific factor variance, 特殊因子方差2 E1 r; |$ k; e8 Q+ t
Spectra , 频谱8 R) t; c& L6 Q) X
Spherical distribution, 球型正态分布! V0 z& y" t2 b6 X ]) r3 T
Spread, 展布
' Z% R- I+ G J n7 s2 |5 xSPSS(Statistical package for the social science), SPSS统计软件包
" r2 R. @- J0 k5 [* a8 S' j3 `Spurious correlation, 假性相关* d: {: k& B2 G+ P$ @
Square root transformation, 平方根变换
$ ^# z& [. o+ @+ d: j7 Z: I/ tStabilizing variance, 稳定方差
, Z% O" `6 n. x6 A( K4 T( NStandard deviation, 标准差8 j2 A* P, Q! h; S6 {& w, }
Standard error, 标准误; b+ |, t8 X/ `: _
Standard error of difference, 差别的标准误# n4 z' j/ f* r& q) r! M
Standard error of estimate, 标准估计误差7 O& ~1 {5 |; O ^! |) j# A2 ^
Standard error of rate, 率的标准误8 E. b' Y' s8 R4 ]1 _# F
Standard normal distribution, 标准正态分布0 Y m" _% e% w; A* w, \
Standardization, 标准化1 k' g- e h& R) E3 u6 _5 |7 k
Starting value, 起始值
# p0 B+ G: B0 h5 S. e* g1 DStatistic, 统计量
$ ^2 G) A0 I) `Statistical control, 统计控制' y: Y% j! W. N' G# O) C8 I" N* [
Statistical graph, 统计图
2 q8 R; E2 p tStatistical inference, 统计推断
+ N" b& V3 W/ w U; u i3 m) z9 v7 FStatistical table, 统计表
0 G, x8 t4 J& h+ ?3 h0 |Steepest descent, 最速下降法
. s8 G6 p0 K6 K$ Z; mStem and leaf display, 茎叶图1 X& ^( o, n: }
Step factor, 步长因子
# H' e7 t# I$ j& Z) k& e2 RStepwise regression, 逐步回归, f( O8 E0 I7 q; W: J6 P
Storage, 存( [3 n9 w: Y- |- y" N( O4 _9 a
Strata, 层（复数）. J: {) t6 ]9 V; r/ @
Stratified sampling, 分层抽样
1 X2 c5 v7 L1 U$ f B3 z6 d0 p( r1 MStratified sampling, 分层抽样
9 I4 W9 A! a I c+ L. jStrength, 强度
+ S; f2 z0 s8 D- h. L( l+ l( w& MStringency, 严密性
4 P) g/ [3 ^6 ]1 k* v6 @Structural relationship, 结构关系; B! H6 j4 w. q, G4 a" A4 I% k
Studentized residual, 学生化残差/t化残差4 J; R3 `% u; {5 H l% d
Sub-class numbers, 次级组含量2 j$ p, q1 w; |, |0 F1 A
Subdividing, 分割7 o: I1 l5 p0 D# r ?- i
Sufficient statistic, 充分统计量9 ]9 i: f" g7 j) t* m+ {$ g5 R
Sum of products, 积和
8 e% n x9 W/ V; s5 q! e! USum of squares, 离差平方和- ? w, j& c) }2 Q" A1 `
Sum of squares about regression, 回归平方和2 |" F! _8 d$ U3 H9 s
Sum of squares between groups, 组间平方和
" I4 Z4 C' e0 @" ]* E- S6 rSum of squares of partial regression, 偏回归平方和
' d- R7 O9 M) \# J& L! H4 M5 E# aSure event, 必然事件
. a0 m4 E9 ?* p7 C( z3 KSurvey, 调查" w9 X9 O# h. l! f# A
Survival, 生存分析
( o5 R6 P- @; m4 h3 o/ uSurvival rate, 生存率
7 H- \: F! u' y/ f, PSuspended root gram, 悬吊根图$ b! M! r7 ?$ ?
Symmetry, 对称
# x3 y* h; o# e) |& T! ySystematic error, 系统误差
! N4 M( P, ` l( b3 d' |Systematic sampling, 系统抽样. l h4 B h/ P1 i* q, {
Tags, 标签: Z9 m$ u$ P! N
Tail area, 尾部面积; P1 t- d- K/ }' h) `; L0 u3 k
Tail length, 尾长
# B, u" d5 k$ h% QTail weight, 尾重
( W1 J1 U7 h: {/ r0 i, M: K" S, k1 qTangent line, 切线; {" q# }$ ~" R' r& F/ K8 b* T
Target distribution, 目标分布. `1 |* G B3 y5 O
Taylor series, 泰勒级数* M, |( ^$ k, [+ A% \
Tendency of dispersion, 离散趋势. q2 Z. @( ]( V; i; M
Testing of hypotheses, 假设检验- D# o5 y( N ~7 g1 R/ f3 n k
Theoretical frequency, 理论频数2 \1 t$ \) V+ U# h. n
Time series, 时间序列 O: o- M) ^3 Y- p* r0 b
Tolerance interval, 容忍区间
, t- m. v1 I5 m4 [Tolerance lower limit, 容忍下限" g# w( x: Q0 J. F6 Y- E* J" {3 y8 \
Tolerance upper limit, 容忍上限- F K) b2 o* S# n2 |. D2 ~
Torsion, 扰率, {$ y5 J& L1 f c; Z
Total sum of square, 总平方和! G! u5 V& ?9 c8 Y( ?" k- F
Total variation, 总变异! U" `( Y) A& f! \4 X
Transformation, 转换
* V7 z; d4 }% ]' RTreatment, 处理
6 O* x5 k( k4 ~- jTrend, 趋势
5 Q% m* a- o8 |5 u; V) n# z" HTrend of percentage, 百分比趋势
m; r/ A# l- p& I3 R8 uTrial, 试验
/ m# u( T: p; {Trial and error method, 试错法
7 |! E8 B) \: ~; ^Tuning constant, 细调常数& y u" B7 ~3 Q$ b; I+ e; [
Two sided test, 双向检验# V( B) L1 X: g- T# I2 g
Two-stage least squares, 二阶最小平方! z7 X* c4 D6 l
Two-stage sampling, 二阶段抽样6 D+ G5 W6 l% N# e6 ?
Two-tailed test, 双侧检验6 q( |( ^% L' {; {* Z3 K9 t
Two-way analysis of variance, 双因素方差分析 n* X2 r( Q5 B8 s, r* o
Two-way table, 双向表
( Q7 a2 o9 s. o7 X6 oType I error, 一类错误/α错误
4 b- Q' P; e ]& D3 LType II error, 二类错误/β错误
; U2 {# Z- I: M$ W& F, Z2 IUMVU, 方差一致最小无偏估计简称4 u- u @# B3 l, J2 t
Unbiased estimate, 无偏估计5 o. M/ p# Z, H
Unconstrained nonlinear regression , 无约束非线性回归$ v' t" U' S* ]- j1 Z
Unequal subclass number, 不等次级组含量! o3 {7 M% p- P: F i
Ungrouped data, 不分组资料
7 @6 k8 @$ }9 \ H- R- ^9 JUniform coordinate, 均匀坐标
7 _6 I8 U, R+ DUniform distribution, 均匀分布2 b) p5 @0 B. q# L
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
" @5 L7 Q$ V, [& H9 e AUnit, 单元6 R' c) [) t# Q
Unordered categories, 无序分类7 U/ K8 a3 n8 u9 \3 M
Upper limit, 上限# I# q- S9 B/ a+ S$ y) f5 x& V
Upward rank, 升秩
* v. R+ E( E% J( G# D* L+ UVague concept, 模糊概念: p. A" V) ^; t7 P7 B+ u
Validity, 有效性
( a- [$ w* }2 W! p4 hVARCOMP (Variance component estimation), 方差元素估计' e" s' F! f& ]: Q
Variability, 变异性
. D- V! L& O4 O0 W5 dVariable, 变量
3 c5 j( r. L# q: xVariance, 方差
8 M0 g" f. k2 G* P% d( PVariation, 变异5 |, Y9 I% m4 v+ Y! x2 ]
Varimax orthogonal rotation, 方差最大正交旋转
& Q% z& a! k2 G6 A$ i6 O. C1 ?Volume of distribution, 容积# L6 F8 F3 U# B6 `* k$ {9 m
W test, W检验1 r- r- F( G9 [
Weibull distribution, 威布尔分布8 D0 F3 j' ~$ _3 `9 \3 a3 m' t: S
Weight, 权数
& l8 T7 l/ x Z7 ~Weighted Chi-square test, 加权卡方检验/Cochran检验% R/ x& D2 a+ @2 H3 T$ I+ J1 \' c9 A
Weighted linear regression method, 加权直线回归- M; f4 E8 p2 Y7 W+ W2 r
Weighted mean, 加权平均数" X6 c3 u8 U( w4 S: F
Weighted mean square, 加权平均方差1 T4 W$ \* g) E7 s1 X9 h/ Z! m
Weighted sum of square, 加权平方和
( ~8 y, }' M8 [Weighting coefficient, 权重系数
, a8 |0 _* w! J y; T8 |6 Q EWeighting method, 加权法
4 ?7 ~+ Y, O, Q& w% ^+ v, B$ xW-estimation, W估计量' W8 x6 E5 y- D/ P
W-estimation of location, 位置W估计量; L: G) l+ B- P
Width, 宽度; T6 w+ \8 i- z* p5 P' ^9 p0 r/ t0 t5 p5 ]
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
' a& N9 z, W5 iWild point, 野点/狂点7 k+ q% J. w6 o+ N# O5 l
Wild value, 野值/狂值+ `+ E- d L2 L0 P" I& C- ^9 M
Winsorized mean, 缩尾均值# p+ A( |, V1 |3 d( c+ Z9 ~
Withdraw, 失访 3 z- | Y4 p6 E3 p4 X \
Youden's index, 尤登指数
6 \" W; O* F# Y5 ]# \Z test, Z检验
$ T z) E5 c$ G' d% hZero correlation, 零相关4 v% w! S, O, E0 M8 h! l
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
