|
|
Absolute deviation, 绝对离差& R z) w: {& v, ~5 s" W& B9 P" e
Absolute number, 绝对数
: b1 ~5 w+ U7 ZAbsolute residuals, 绝对残差
* H/ [) C3 x) V; B( gAcceleration array, 加速度立体阵8 i! v2 l& v4 f; l
Acceleration in an arbitrary direction, 任意方向上的加速度8 J: P% f- B7 E3 x
Acceleration normal, 法向加速度
0 w; B; d: c0 T/ v/ Q- xAcceleration space dimension, 加速度空间的维数! Q8 j: F7 K9 v r# n: }3 Q
Acceleration tangential, 切向加速度
1 _6 i1 h9 U; y/ ?) X s: QAcceleration vector, 加速度向量
6 P w* d% V/ ]Acceptable hypothesis, 可接受假设
- f+ }& [" E2 a* U gAccumulation, 累积
! H- G4 M. E* K5 \. e, ZAccuracy, 准确度
" |3 r. h2 b& ?, v' }& i( e) N7 @Actual frequency, 实际频数6 @. i' u! ]9 X3 y6 e
Adaptive estimator, 自适应估计量0 Y7 h3 a8 G8 R, c
Addition, 相加+ w) a& w% n) i% @
Addition theorem, 加法定理
( O$ J3 ^& ~9 |9 r/ {Additivity, 可加性: |3 X4 {* x7 n5 n" E1 n
Adjusted rate, 调整率' d# h3 L f; Y- I7 z3 t% m
Adjusted value, 校正值# h* g+ I+ P* r( b% F9 g: b
Admissible error, 容许误差' R2 s# A5 U; a; q U* r5 U
Aggregation, 聚集性
- _% R" K- i: o I+ i+ EAlternative hypothesis, 备择假设5 T$ G7 c) v; V3 B3 d$ p! V9 K
Among groups, 组间3 `" e7 l' @( C! [1 H$ b
Amounts, 总量0 n) |* p: y" D7 {" Z1 R
Analysis of correlation, 相关分析8 d& a S( ]1 q% L- Q5 z
Analysis of covariance, 协方差分析
, K5 p+ v; i+ XAnalysis of regression, 回归分析. q! [- @! G1 C" ?2 x, \
Analysis of time series, 时间序列分析2 V* J+ A) H" r8 o) X& B2 n! T
Analysis of variance, 方差分析/ b/ z& k) H ~9 C
Angular transformation, 角转换7 c5 `! g* B, r
ANOVA （analysis of variance）, 方差分析9 y0 {& ~ x0 m) H, w6 x
ANOVA Models, 方差分析模型0 |: z, i0 o: l4 k, r
Arcing, 弧/弧旋
+ A5 k2 W. a3 j5 X+ nArcsine transformation, 反正弦变换" P8 b8 b6 Y2 {; K& H0 }
Area under the curve, 曲线面积
6 Z7 K0 S/ C1 l7 B' W: bAREG , 评估从一个时间点到下一个时间点回归相关时的误差 8 T$ U! \% {- L- w6 a$ p. {+ r; d
ARIMA, 季节和非季节性单变量模型的极大似然估计 r5 g' _; O/ }& B3 m
Arithmetic grid paper, 算术格纸2 |+ R( Z9 c b. Q) q
Arithmetic mean, 算术平均数
, H8 e v p3 o" hArrhenius relation, 艾恩尼斯关系
9 x: w7 Q2 d: ]9 b9 @* r/ ?$ CAssessing fit, 拟合的评估0 R; c2 v0 r# o1 Q6 D! n3 D9 n
Associative laws, 结合律0 P% c W* H' n
Asymmetric distribution, 非对称分布
$ ^2 \* J6 S( r3 v9 ]! yAsymptotic bias, 渐近偏倚, P1 L# I: V- G
Asymptotic efficiency, 渐近效率
8 y2 k0 x3 q6 [9 U. {/ xAsymptotic variance, 渐近方差
, s8 {: ~, n/ S; h& x* V8 x( tAttributable risk, 归因危险度
* ~( z+ J; m, `% C& `! `6 I yAttribute data, 属性资料8 D) w! B6 P0 q& R4 [# h
Attribution, 属性0 y- X9 R4 p( B+ s( O, m' v
Autocorrelation, 自相关
9 d9 J6 ?- l. @% TAutocorrelation of residuals, 残差的自相关
2 E4 e, ^& b7 fAverage, 平均数1 N! |2 M- H. F/ [
Average confidence interval length, 平均置信区间长度, |. h7 }$ s4 V l% p/ H3 M I; h3 h
Average growth rate, 平均增长率8 { _( f/ m( d7 D' ~: t: D' i
Bar chart, 条形图
" ^/ C* O1 Q3 t: c$ QBar graph, 条形图 N* S& O, n0 F) N
Base period, 基期$ ?6 b4 T1 A7 l! X: v
Bayes' theorem , Bayes定理
8 M1 X& @. y. j3 RBell-shaped curve, 钟形曲线
' r4 ^0 B) U7 C( f1 OBernoulli distribution, 伯努力分布9 J4 |/ ]6 G& I7 l* I6 `$ K
Best-trim estimator, 最好切尾估计量8 T" s6 Q3 v t: L
Bias, 偏性
" d* ^# T# T$ y0 ?Binary logistic regression, 二元逻辑斯蒂回归
8 o$ C( {2 g% K! j4 |# P# R% C6 P1 [Binomial distribution, 二项分布
5 n8 L! O9 _& i( lBisquare, 双平方* W5 G& W0 j" T% d
Bivariate Correlate, 二变量相关; N6 Z9 r a$ V9 |6 W
Bivariate normal distribution, 双变量正态分布
' h W6 N! \4 \1 ^$ k5 IBivariate normal population, 双变量正态总体
3 J1 S) x/ o$ d" ]2 fBiweight interval, 双权区间" ~! v/ \4 Z1 u6 U% a
Biweight M-estimator, 双权M估计量- G( X" n4 s5 x2 X% E, C
Block, 区组/配伍组! h f$ Y3 p, T9 E! H1 T6 S
BMDP(Biomedical computer programs), BMDP统计软件包
3 m& d" |; a3 E. H3 M6 DBoxplots, 箱线图/箱尾图# _% p7 \5 n- E; k" O( D- _$ D2 `
Breakdown bound, 崩溃界/崩溃点
+ o9 G6 e! v# F1 r" |0 }- s# H# @3 XCanonical correlation, 典型相关
! d& G o' C1 |% P% C% r) ~# |Caption, 纵标目) f) R/ ?+ l4 I5 n
Case-control study, 病例对照研究
, c2 D! z6 ^, o) t2 PCategorical variable, 分类变量5 }3 B! Y/ T' ?: `! W
Catenary, 悬链线8 K2 P' T0 F/ N Z4 m
Cauchy distribution, 柯西分布
+ u+ ?* ^* E" G" gCause-and-effect relationship, 因果关系
" Q5 A) `" m: h$ l8 Z/ ?- u$ k+ ]Cell, 单元
; A7 [2 w8 [% ?. L* \Censoring, 终检
5 y& S" \$ _) S7 [8 u3 Y" RCenter of symmetry, 对称中心+ F' k# C. J8 P; d
Centering and scaling, 中心化和定标
$ X: u' D$ ]2 b( [' E) ]+ Q6 p: z+ y- \Central tendency, 集中趋势" i5 R5 s ?1 l( {- m8 Z( q
Central value, 中心值1 F- ^7 R$ ^# h
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
a6 }4 K. N0 w) P1 T1 s; n( L6 {Chance, 机遇
5 E/ t3 E/ z( C8 R- `9 `: D5 e+ ZChance error, 随机误差' M0 G9 s5 _+ o) _
Chance variable, 随机变量6 c Y- j0 U& ~) J
Characteristic equation, 特征方程8 W" x" O g: U
Characteristic root, 特征根8 h5 P# c' L0 D! f$ s- v1 s& @& X% U" [
Characteristic vector, 特征向量8 G3 O, v. ~7 N D
Chebshev criterion of fit, 拟合的切比雪夫准则% h0 v) N* d+ @3 ~% L$ @+ ?" q
Chernoff faces, 切尔诺夫脸谱图
2 n- s" ^- f8 K# y( Z w0 d9 r5 Q/ {% [Chi-square test, 卡方检验/χ2检验. G9 c2 o8 @" k0 o9 h5 J
Choleskey decomposition, 乔洛斯基分解
# i) J& Y& ^% } _( R! E5 N! `$ d' oCircle chart, 圆图
( i- ^3 m/ d- Y# sClass interval, 组距3 M5 V/ L5 f* w7 f4 g
Class mid-value, 组中值6 c* Y! {" d* l8 }
Class upper limit, 组上限- f. Y! g+ T: a1 _2 n9 C
Classified variable, 分类变量+ F5 N# `$ l }4 O- W" \
Cluster analysis, 聚类分析
, G3 i; R0 ~- C) [+ o9 G/ `. A% G. ACluster sampling, 整群抽样8 X; }9 {: h. E3 v& O8 i0 @" O/ u
Code, 代码
2 ?. Z+ N( a8 f) S9 CCoded data, 编码数据
! b, g; x+ m, @3 A. kCoding, 编码( z: ^ m9 E' Q3 |
Coefficient of contingency, 列联系数% H( ]5 W. u0 q& a* a! d6 L2 H; Y# F
Coefficient of determination, 决定系数! q7 g$ d& W2 Z) \6 S5 z
Coefficient of multiple correlation, 多重相关系数
. E& j8 ]' f4 m1 b- e6 VCoefficient of partial correlation, 偏相关系数
* g0 T! k& t! J0 @* DCoefficient of production-moment correlation, 积差相关系数4 R- D' s$ e# q F4 S, ^$ D; N2 W0 g2 O
Coefficient of rank correlation, 等级相关系数# }% g5 a4 j2 a1 w: |6 n
Coefficient of regression, 回归系数
$ F) \' x3 {5 G2 V. DCoefficient of skewness, 偏度系数! Y6 W; X+ |- O1 C% i
Coefficient of variation, 变异系数
1 F* S" x. i. h% DCohort study, 队列研究 F0 u# L# Z6 D% ]& ?
Column, 列
9 Y# c0 \" }/ E6 y8 I7 AColumn effect, 列效应/ n3 v1 u1 F! X# S. S- o
Column factor, 列因素- H# J7 @0 q# p, y* ?! K a% V
Combination pool, 合并" D% `0 B U% \9 O. G% m
Combinative table, 组合表
1 n% g) Z# w6 j% A' oCommon factor, 共性因子9 i1 v' I. Q" R/ I0 B1 G
Common regression coefficient, 公共回归系数' v% }" V0 D8 k b* y
Common value, 共同值+ U; U* U/ l6 y# |
Common variance, 公共方差
1 I- g6 y/ H3 D Z7 ?" vCommon variation, 公共变异
8 m6 l6 ? j0 r8 `1 BCommunality variance, 共性方差% T. _% B2 P# K0 L
Comparability, 可比性" P0 O+ W' J4 [9 k7 B" Z; E9 n
Comparison of bathes, 批比较1 [. G% b* [8 ]: u1 Y
Comparison value, 比较值 e: _; l# V; T' h& `
Compartment model, 分部模型7 n$ }$ c- m9 W R- F
Compassion, 伸缩
, d2 \, g* d* C" l/ Z/ x/ d, _Complement of an event, 补事件! Y3 S4 A3 r9 T; U T# @8 g
Complete association, 完全正相关
w$ h2 B; C5 D9 t/ @Complete dissociation, 完全不相关* Q w' [, K% I% f" C
Complete statistics, 完备统计量
% p" ?/ G2 T5 \: G( _Completely randomized design, 完全随机化设计1 P0 S5 \, M2 Z' k0 c8 e
Composite event, 联合事件! U9 B0 j7 Y5 p5 i( v
Composite events, 复合事件. Q. q3 X0 e0 i3 ?$ j* g
Concavity, 凹性- H2 p9 Q! m" d' A4 g
Conditional expectation, 条件期望
/ j% F! h- w% G: b( V; r. AConditional likelihood, 条件似然9 c: X$ m* l+ d% M
Conditional probability, 条件概率
1 K, R! P5 f0 y, w/ EConditionally linear, 依条件线性
. w- Z1 X: `% | s* x0 {8 C4 }3 PConfidence interval, 置信区间
$ m# i2 B: L; g7 ]4 JConfidence limit, 置信限
; f7 L( d; V4 B% N* u r4 w: GConfidence lower limit, 置信下限
! n- P7 N' H9 NConfidence upper limit, 置信上限$ Q7 Z$ q! y7 r+ | {/ s
Confirmatory Factor Analysis , 验证性因子分析5 m0 L$ S8 c/ ^+ t+ a6 P
Confirmatory research, 证实性实验研究) k5 F# e1 o8 f' k% X
Confounding factor, 混杂因素! k- a; J; x5 ]$ i5 c" ^/ H K
Conjoint, 联合分析
; U2 C- J5 c3 z! N1 C ?3 SConsistency, 相合性- K1 H7 i, U( V& y% z/ G
Consistency check, 一致性检验
) d5 _' t! L8 l8 SConsistent asymptotically normal estimate, 相合渐近正态估计
1 R" E$ J) J0 k' }% z; ~7 N: TConsistent estimate, 相合估计( |2 S5 R( g5 v; T! A( l, v- a7 s
Constrained nonlinear regression, 受约束非线性回归
2 V u; \7 \) m9 ~1 s5 H" rConstraint, 约束
/ p7 Y' _$ F; [+ u3 CContaminated distribution, 污染分布
. M5 U; i* }9 D/ J3 VContaminated Gausssian, 污染高斯分布
# C+ B* B/ D/ g3 f; v$ s& NContaminated normal distribution, 污染正态分布9 `8 M) r5 ?5 z+ U
Contamination, 污染* h( f# b( i6 z9 z: U/ a0 x# r
Contamination model, 污染模型1 R% s/ @5 T. d1 {
Contingency table, 列联表
, [4 M5 {: U$ |# ?: b$ d* KContour, 边界线$ d' ?+ X; r. E6 r
Contribution rate, 贡献率6 Y8 U% b7 o- B+ i4 n9 p" ^
Control, 对照
9 Q9 w, p* X3 T9 p1 o% r) d3 gControlled experiments, 对照实验8 ~: t2 A+ T, S% c8 V2 v
Conventional depth, 常规深度8 ?! X' A! I+ w0 @
Convolution, 卷积% R+ j& U" ?, ^+ z
Corrected factor, 校正因子
3 J4 z/ S/ x t j, X8 p- m, CCorrected mean, 校正均值
- I- G1 y; u5 r, e L1 sCorrection coefficient, 校正系数
, R: f0 M* ]* ?( P1 {* J% ICorrectness, 正确性7 J D! k% {4 C% F6 X- S# s! Z
Correlation coefficient, 相关系数
. E- [. R4 Y5 m* S4 o9 WCorrelation index, 相关指数 {' J+ E. \ x1 x/ {6 G2 n' B- o
Correspondence, 对应
8 o: E5 M6 r9 R: m( kCounting, 计数4 j& E) Y* t2 S! H2 L
Counts, 计数/频数( t3 ]% Z$ n S' a% ?
Covariance, 协方差7 ?& o/ e4 S0 C+ k" r6 t
Covariant, 共变 : k, b; d8 l* A
Cox Regression, Cox回归; F5 s9 `$ r1 l
Criteria for fitting, 拟合准则, U s# Z& Q9 v2 ^
Criteria of least squares, 最小二乘准则
. Q2 @# h5 S8 U! `Critical ratio, 临界比/ V8 J+ A3 _: n5 ~
Critical region, 拒绝域
' N2 @% P4 Q8 `9 r. oCritical value, 临界值$ I6 R- f, s' B& x/ {
Cross-over design, 交叉设计) }' E: D, \* I( m: x; P
Cross-section analysis, 横断面分析
7 H4 D$ i. i4 U5 x# H! s. J! YCross-section survey, 横断面调查" x3 i8 ]2 a' m3 ^' V1 s
Crosstabs , 交叉表 % \9 @, `: T' S! @9 _4 b9 H
Cross-tabulation table, 复合表4 k- e% o% [4 G, q
Cube root, 立方根
1 d4 V/ z) h: \ h: Z+ x. y4 wCumulative distribution function, 分布函数
9 A% l( F8 W: G* D. y CCumulative probability, 累计概率1 Q; h: N0 S/ t' R& n# D! {6 Q
Curvature, 曲率/弯曲2 w6 s' V6 w( h" i1 Y
Curvature, 曲率
0 t6 o9 C1 g& z& N$ fCurve fit , 曲线拟和
5 E1 x1 e3 i' I- {8 a4 }4 H$ sCurve fitting, 曲线拟合
( B4 c/ \5 b6 A8 T: {5 ]Curvilinear regression, 曲线回归
% s. m4 F1 U% x1 m3 r3 D1 Q6 n0 |Curvilinear relation, 曲线关系
) ~# D; O, l( V1 R' D4 L3 @2 |Cut-and-try method, 尝试法
' x2 P# t9 X' @& J( F r# t) S5 RCycle, 周期
# Q5 F. x8 u8 i/ Y, l- M, q4 tCyclist, 周期性2 {& ^ p& C6 O5 M) c# [1 m2 N
D test, D检验7 V8 r L7 @* H' c
Data acquisition, 资料收集
+ ^/ c) X8 P, o/ I, M- s7 `$ W. sData bank, 数据库$ @) S# t5 s, u+ A
Data capacity, 数据容量
[, [8 q/ M- [. uData deficiencies, 数据缺乏3 m2 T9 z1 \9 L& B& X* P
Data handling, 数据处理& ]: t% N& r* ^5 |) [
Data manipulation, 数据处理* }- C: B7 F: E. q
Data processing, 数据处理
* I$ ]2 g R; ~& nData reduction, 数据缩减
' ^; d( L8 K) F0 D* CData set, 数据集
, q" J$ H9 ?( }# F9 Q4 F6 nData sources, 数据来源& P. A7 ?" D/ J) a4 W/ w9 @
Data transformation, 数据变换
, {+ w- L0 Q3 ]: u5 ^1 x! ZData validity, 数据有效性
7 E: A/ L4 U) C* l. C# }+ K2 uData-in, 数据输入
# t8 g& o" M9 A; Z0 {# d' SData-out, 数据输出8 W1 X- ?6 {) Q/ l7 I
Dead time, 停滞期
) n: u- U9 W+ A& b; N, PDegree of freedom, 自由度2 B0 h$ s0 W3 U9 J" Y% W4 g
Degree of precision, 精密度
4 }& z6 ]3 o+ H; `Degree of reliability, 可靠性程度' ^- Y9 Z9 C2 [; U3 _8 H2 S
Degression, 递减4 V& ]( D9 I- D2 m) s: G
Density function, 密度函数
N) M9 \+ a s: w1 q) \Density of data points, 数据点的密度
0 L2 {( R% s, |/ Z4 g* sDependent variable, 应变量/依变量/因变量
$ s+ E5 T% _) N! q& }% {; ] XDependent variable, 因变量
, n9 g4 z; T- g( W( JDepth, 深度
7 b5 U# l5 T: Q* B yDerivative matrix, 导数矩阵; g6 g! H9 l! w( X+ ~2 _6 q
Derivative-free methods, 无导数方法- P, o$ M6 f; i
Design, 设计
2 L' B5 W+ a" `# R" r7 tDeterminacy, 确定性5 n& u9 {- ]5 ]" b e
Determinant, 行列式
; g2 b/ l7 G% }Determinant, 决定因素" N7 D: _* c- R$ [ m9 C* M+ o5 X
Deviation, 离差' M& \9 M y" h% U4 k
Deviation from average, 离均差
7 h8 C: H# m. q KDiagnostic plot, 诊断图& q0 `; K& S3 D$ ]" p
Dichotomous variable, 二分变量
) ]( g5 n* f" J, s' u& KDifferential equation, 微分方程
' Q" u, r% ~, \. F( [Direct standardization, 直接标准化法
0 J* R) C/ G6 O, I+ K3 p' eDiscrete variable, 离散型变量; b7 {: k7 P2 J9 [! v8 N! M" `6 W, r
DISCRIMINANT, 判断 ) w- [! M H2 i* r$ |8 A9 j/ w
Discriminant analysis, 判别分析
( I! n& X% }: ^ l* B4 P. tDiscriminant coefficient, 判别系数
0 g3 `' F& z0 bDiscriminant function, 判别值
, n" _2 E1 E3 d. g5 I& `1 WDispersion, 散布/分散度 z4 W# ? U+ e3 W) h& F
Disproportional, 不成比例的
% l# h/ r( ^; ~5 c. VDisproportionate sub-class numbers, 不成比例次级组含量 K9 K3 U- p$ x9 y) l; n5 t& Y9 H( G
Distribution free, 分布无关性/免分布. ?, C8 ]% ]3 W1 K" h& l$ |
Distribution shape, 分布形状; N" }# g3 `3 X# @* Q- L r
Distribution-free method, 任意分布法& M! d! x% T% i3 E
Distributive laws, 分配律
4 N" l+ p9 R* ?Disturbance, 随机扰动项2 y1 s. a+ s$ U0 ~" z
Dose response curve, 剂量反应曲线
: y$ f1 B# @, H% o4 ~5 M5 CDouble blind method, 双盲法
: l: f) I- v X. o+ G) s6 m) sDouble blind trial, 双盲试验& A) Q2 h8 `* `" p* ?
Double exponential distribution, 双指数分布
& q% H& W3 X, r/ W( z9 n vDouble logarithmic, 双对数
: f& B) V2 w6 D: h- g6 kDownward rank, 降秩
) U( [: d- t- a. {1 X* K( F) b$ ZDual-space plot, 对偶空间图; \7 b p" z! J
DUD, 无导数方法
3 m; @0 x) c/ Z3 lDuncan's new multiple range method, 新复极差法/Duncan新法! S2 F3 o* _2 ~1 c$ G
Effect, 实验效应# Z( {) Z3 s8 G" Z
Eigenvalue, 特征值 I" {# b) x$ o& Z b3 Q) s
Eigenvector, 特征向量- R- F1 d! b0 y
Ellipse, 椭圆" ]1 z( p1 R! s% r) ]/ U& \/ |9 f
Empirical distribution, 经验分布
- u- S+ E/ p( ?4 @8 i' DEmpirical probability, 经验概率单位
; u* p' E0 C5 m' D8 {/ `Enumeration data, 计数资料
# k- o8 v5 U _Equal sun-class number, 相等次级组含量
* p; f$ Z/ ^* J) E6 H' yEqually likely, 等可能 {/ T; `* z( O: ^! M
Equivariance, 同变性
3 o, {. X8 z' A, Z, |, e6 pError, 误差/错误7 W$ W, I4 a( [% I& O; \' t
Error of estimate, 估计误差. s* ?% c* N$ G* e1 }5 Z9 P
Error type I, 第一类错误
' p7 `! H k( z6 K2 K8 F SError type II, 第二类错误
# \" g5 B$ L0 E2 _2 ]+ SEstimand, 被估量; G1 z N) b& ]7 x/ O
Estimated error mean squares, 估计误差均方
u9 a7 u; o7 R% N$ PEstimated error sum of squares, 估计误差平方和 @1 a8 ^7 ^, l- u
Euclidean distance, 欧式距离
2 j" i# M0 ]" B! L3 a( f6 AEvent, 事件
5 `+ b! X" s+ Z1 ^Event, 事件$ f* k+ t2 {9 B. h; Y7 X( X
Exceptional data point, 异常数据点
+ j9 |: c- l0 i& mExpectation plane, 期望平面
, {6 @# l5 o3 E% L6 l4 UExpectation surface, 期望曲面4 s0 k& [2 D9 L5 V' B0 X2 n4 F
Expected values, 期望值) [* c3 ?/ J) Y- p$ f0 b
Experiment, 实验) A3 ^& v; v$ l, i9 k/ V$ T3 w
Experimental sampling, 试验抽样% s1 A2 N! Y9 H5 ]/ \) N. r) m' Q
Experimental unit, 试验单位+ u5 ~9 ^* d2 z& i
Explanatory variable, 说明变量7 n+ o, E0 b9 ?4 x$ j& C
Exploratory data analysis, 探索性数据分析
8 f U% b& ]) l) z: VExplore Summarize, 探索-摘要4 s8 N( o& [! r
Exponential curve, 指数曲线! \; C' C: _2 g5 B+ v. E2 z! H
Exponential growth, 指数式增长) j' g* n: ]' U6 \2 N
EXSMOOTH, 指数平滑方法 1 y/ |# i3 _2 P% Z1 d; I
Extended fit, 扩充拟合
% V, a( L8 D* s$ g/ [Extra parameter, 附加参数7 x' f1 e. a9 ?
Extrapolation, 外推法
/ q" c' n, x/ M. G$ H) c5 ?5 OExtreme observation, 末端观测值
/ L) v0 C, _( @2 D6 M }Extremes, 极端值/极值* u0 {* f6 N8 W/ c0 f
F distribution, F分布
$ W/ \0 c) w2 j; m+ q8 J* r6 yF test, F检验( ~* ]( ~/ n' `
Factor, 因素/因子
) g, C8 K8 J# j0 S9 L! z. eFactor analysis, 因子分析
/ G q4 W+ q P' U8 A9 |: vFactor Analysis, 因子分析
* d" R' Z- R: G5 R6 yFactor score, 因子得分 : C" c" Y' ^0 H0 d0 ^% Z
Factorial, 阶乘
9 k5 ?6 u' y9 J9 Q) a$ XFactorial design, 析因试验设计
+ f# S" w, [2 g1 ?False negative, 假阴性
2 T; k4 ], i' pFalse negative error, 假阴性错误6 H. `* U! Y. l
Family of distributions, 分布族
* ~( g4 T% r Y. G0 BFamily of estimators, 估计量族( [( x. t! `, ]2 i, l' \; I5 h
Fanning, 扇面, e0 _- H4 N1 z8 P1 k! ~' }
Fatality rate, 病死率/ F# P. a% k7 P0 q
Field investigation, 现场调查* ]7 R. E1 G, E2 E9 p" v
Field survey, 现场调查1 W M- n. ~: l" y( t* h# i
Finite population, 有限总体
! R! [* D& \# R1 b2 u$ w9 sFinite-sample, 有限样本: m0 M/ E9 w3 M" n: i$ _
First derivative, 一阶导数) v1 \: l, G$ C7 z% K3 _3 h
First principal component, 第一主成分6 d- N2 H7 R6 w, N0 `! p; t
First quartile, 第一四分位数
1 I) }0 Q2 |+ M9 qFisher information, 费雪信息量
' @- M3 j3 I9 h" A/ c& y" j5 _Fitted value, 拟合值6 z. x6 T; N, {& U# J
Fitting a curve, 曲线拟合
. p) ~! P" l' T% e! j1 h4 oFixed base, 定基
" V( @/ X: [$ n$ CFluctuation, 随机起伏9 I1 I1 _# g+ ], ~
Forecast, 预测, ]+ g0 Y! ?6 V9 s2 C
Four fold table, 四格表
' K8 o7 [; t' D# ]: [2 X5 rFourth, 四分点
8 T7 x+ K+ I1 L; r, BFraction blow, 左侧比率
. B! A2 T4 {" P9 |& g# TFractional error, 相对误差! L; \1 i% \2 i
Frequency, 频率
8 d6 O% w; `8 d; gFrequency polygon, 频数多边图
6 ]8 R2 m& P" _, w0 gFrontier point, 界限点( ~* S$ i3 b9 W( U5 _/ Q
Function relationship, 泛函关系4 W9 v- i' i7 x1 W& g& {+ y( f
Gamma distribution, 伽玛分布& O1 V9 {- z0 L8 ^5 ^$ y" B6 V. a- W0 I
Gauss increment, 高斯增量$ c5 ]6 K6 M. E7 x Y1 k
Gaussian distribution, 高斯分布/正态分布0 ` {7 c0 m9 D1 N
Gauss-Newton increment, 高斯-牛顿增量3 w4 m; f* n2 F+ p
General census, 全面普查
5 F F8 z& a8 |) t, e. \2 Y$ F" IGENLOG (Generalized liner models), 广义线性模型
$ o0 l3 C. |7 ~6 cGeometric mean, 几何平均数
/ v9 {; a" P$ L; V o7 D2 R& I8 e9 i: HGini's mean difference, 基尼均差
% d3 e, h) ~9 a" G1 KGLM (General liner models), 一般线性模型
$ U1 r7 Q" {8 o; t& {8 MGoodness of fit, 拟和优度/配合度
* v W- U% u* `% g4 RGradient of determinant, 行列式的梯度
" [; ]; u' R5 h4 g- \; r4 ^7 ZGraeco-Latin square, 希腊拉丁方
. z ~7 `6 ]1 {! u6 S6 \6 A( {Grand mean, 总均值
' C4 ?: `7 f5 }8 w! |0 R+ l* CGross errors, 重大错误
, h2 A8 }& F# z X" MGross-error sensitivity, 大错敏感度
1 n/ I& b7 l- r6 Q: H2 bGroup averages, 分组平均
* Z5 {: d/ ]9 Y9 tGrouped data, 分组资料' q" w! O5 P& n# u3 R
Guessed mean, 假定平均数
8 \" K. X! a: xHalf-life, 半衰期
' l, I9 Q& X n* M$ QHampel M-estimators, 汉佩尔M估计量5 A# M3 a- A; W; Z) j/ o- x* [7 T
Happenstance, 偶然事件& b0 B6 `, W/ n7 E- `' n1 o4 ?% c
Harmonic mean, 调和均数
w+ f& O+ h8 U5 p( O. ^7 ZHazard function, 风险均数
% G3 a( }& P$ g; B" _: [5 yHazard rate, 风险率% Y V+ ?/ R& }9 D) b
Heading, 标目 I; u2 C7 F$ Y% A& a, c, {
Heavy-tailed distribution, 重尾分布5 m! T2 B- V4 X$ |9 P$ u0 A
Hessian array, 海森立体阵1 I) e% h7 v! |0 G+ y
Heterogeneity, 不同质
; y5 D n! M6 D: bHeterogeneity of variance, 方差不齐
% b9 O& @( v/ v! c6 ?+ d- P3 UHierarchical classification, 组内分组$ t! s" |$ ^+ G* m: H2 G* @ q/ J' u3 _
Hierarchical clustering method, 系统聚类法
( h' m; ]+ u) F$ c: B4 N+ mHigh-leverage point, 高杠杆率点
! {4 N% N1 P6 s# i# i/ ~HILOGLINEAR, 多维列联表的层次对数线性模型1 y1 }: }& s. a
Hinge, 折叶点# x. q- Q" t; U4 c4 K3 g7 V) q
Histogram, 直方图' i' m/ S3 T7 e0 a* I" i
Historical cohort study, 历史性队列研究
4 v8 ?) e+ k1 ]& L! oHoles, 空洞9 y I, b( k/ w/ f! H
HOMALS, 多重响应分析; q0 y0 }* f6 Z- j- o& Y
Homogeneity of variance, 方差齐性
& H& P! a4 K# ^! n# N K1 a# dHomogeneity test, 齐性检验
4 C2 P3 ^& K7 q. q/ ~8 l GHuber M-estimators, 休伯M估计量5 {! j! h5 O5 A0 z4 i/ j
Hyperbola, 双曲线
# `2 ?( ~, M& r2 P2 uHypothesis testing, 假设检验* D2 u4 m2 E% Y9 _
Hypothetical universe, 假设总体
2 }% ?6 g* S/ L& u9 U, _Impossible event, 不可能事件
9 v: A: S8 g! L& J1 R8 x* p5 EIndependence, 独立性* Q4 }& v6 V% _2 g6 H. d( z
Independent variable, 自变量; N/ Q9 K7 ], y' M
Index, 指标/指数
8 h& F7 \. A# iIndirect standardization, 间接标准化法
! K0 S8 q" k8 k- J. J$ e2 |Individual, 个体; q/ ~+ F* } H4 }9 U; n
Inference band, 推断带
0 M% i: ?0 s% J6 [ T& ]Infinite population, 无限总体
+ _4 {, F" U, U, MInfinitely great, 无穷大
- _- y4 P& S ^' y- ]; fInfinitely small, 无穷小3 ~* q# W( l4 a+ w% a0 W* }: J7 q
Influence curve, 影响曲线! k5 X O9 o1 p
Information capacity, 信息容量# W' _$ H: I% Y1 F) T, O
Initial condition, 初始条件- x1 a0 I' D( E- ?% r" _$ A
Initial estimate, 初始估计值
& k2 g( Q4 j5 J0 B8 _Initial level, 最初水平
& O1 w, y# d! |Interaction, 交互作用. Q4 C" O" a6 R( ~# E8 e7 `
Interaction terms, 交互作用项
. D$ q1 u8 r p& q- f- y% V& m* ]; QIntercept, 截距) Q; z% l; e! K& J8 y6 {
Interpolation, 内插法' ~4 @3 C7 {4 {: F9 S) I
Interquartile range, 四分位距5 g1 M' \5 X5 U- a" T% r
Interval estimation, 区间估计) K3 i; u' G, L$ p* q- v7 }; W& d
Intervals of equal probability, 等概率区间+ {) x; A9 j+ s! `; t; x/ `
Intrinsic curvature, 固有曲率) H. T2 n( k1 k U7 S
Invariance, 不变性, B- i4 i9 I3 p* [) ]' o
Inverse matrix, 逆矩阵
& p7 F ~. k- \, w. zInverse probability, 逆概率& H; l4 m! J' g; \: j% u
Inverse sine transformation, 反正弦变换6 L9 I( C7 i; ]8 x
Iteration, 迭代 ; D( K" a/ t) k9 A1 x9 ~$ _
Jacobian determinant, 雅可比行列式, r$ C# n% ~0 \& b) H
Joint distribution function, 分布函数* Z- k7 W, F0 @' L' v$ h' U. l
Joint probability, 联合概率2 W P N; C* o4 T, W1 X( J
Joint probability distribution, 联合概率分布
7 G5 w$ [# P; D+ ^/ W8 i& nK means method, 逐步聚类法
& `; X/ R3 d# w3 `* [" KKaplan-Meier, 评估事件的时间长度 6 A# X* R3 n$ @3 Y D, R5 r
Kaplan-Merier chart, Kaplan-Merier图
/ E( T# w9 |7 s, ~5 o& ~# C xKendall's rank correlation, Kendall等级相关
( M- G4 A# C2 U! |) i/ d+ vKinetic, 动力学0 B4 s- _7 }1 V! A" J& d ^
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验 v8 Q$ s2 }% M6 B8 k0 N# e( e
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验/ }' }1 N' ~, U ~1 h3 C6 a
Kurtosis, 峰度
* I5 f9 F! V; K7 \1 wLack of fit, 失拟
. `' G8 o% t WLadder of powers, 幂阶梯" ^1 L( A ~" x4 b4 Z5 ^
Lag, 滞后( C2 P4 |1 L4 K! d
Large sample, 大样本
* l+ V+ t: n6 V/ w/ zLarge sample test, 大样本检验- W9 C1 ^( Z" z5 {5 _
Latin square, 拉丁方
- q! _* f! X7 l/ B1 a' b+ p' H4 B3 ?Latin square design, 拉丁方设计
D8 b9 h/ R, _Leakage, 泄漏( h8 q% z7 n! T7 C+ O1 R3 G2 g8 E
Least favorable configuration, 最不利构形. I+ O1 @0 b! w8 `( {
Least favorable distribution, 最不利分布' V! @! x5 P5 h, g5 ^- @
Least significant difference, 最小显著差法
2 p8 p: D4 ]; c# X% v" ^Least square method, 最小二乘法
/ z1 N& y# ^3 C) l6 iLeast-absolute-residuals estimates, 最小绝对残差估计
9 J/ m# G/ u" kLeast-absolute-residuals fit, 最小绝对残差拟合
% v: J8 I* {9 U1 q t( M1 Q$ O9 vLeast-absolute-residuals line, 最小绝对残差线
0 U& C! U, x" q8 ^Legend, 图例 z3 ~. U6 n# `0 }6 S6 r& @
L-estimator, L估计量' _7 B* a8 m `1 h* j
L-estimator of location, 位置L估计量* W: `! ]: k/ s+ j G) @
L-estimator of scale, 尺度L估计量* f. s+ H4 e7 D" y3 F
Level, 水平8 p5 s y5 r% p7 x( `2 C
Life expectance, 预期期望寿命6 z' x7 c% Y1 i- G3 v. ?" z; f/ U0 w' w
Life table, 寿命表; L4 x. O" c3 c( m2 r
Life table method, 生命表法4 r6 k _& i0 C) U& N
Light-tailed distribution, 轻尾分布
! k3 @9 ^9 w8 j3 T9 D* r' G: d5 YLikelihood function, 似然函数
" b. E1 A% a; |& BLikelihood ratio, 似然比8 W) B: q' T, r' \' z
line graph, 线图5 x( s) V$ j3 E. Y {) J7 o! @) L
Linear correlation, 直线相关
# u* G0 h2 h3 NLinear equation, 线性方程! o& n" Y2 ?% {3 k6 x
Linear programming, 线性规划, q; C1 i$ z$ Z7 @% J4 r5 E
Linear regression, 直线回归
. ]" `3 y, U3 K$ ]Linear Regression, 线性回归* P6 u) n) M8 y1 ~& Z
Linear trend, 线性趋势6 w, @5 R, B$ C; M4 K
Loading, 载荷 / O/ g* k4 @/ K- |- a/ T, U# T
Location and scale equivariance, 位置尺度同变性
! F; z" `5 @2 Y( f/ s: n: LLocation equivariance, 位置同变性; h% V9 j2 t( b3 g8 j
Location invariance, 位置不变性
9 q1 b* O2 ^6 eLocation scale family, 位置尺度族
2 c% m- V$ N# PLog rank test, 时序检验
7 n! b) ^( j! B. q( ]" {0 YLogarithmic curve, 对数曲线2 j% C' c/ F9 u" z6 {2 z6 m1 v7 v
Logarithmic normal distribution, 对数正态分布' ~+ H. D. l4 Z" Y- Z+ [
Logarithmic scale, 对数尺度, f1 U0 z4 F$ c( {) ~% j
Logarithmic transformation, 对数变换
$ _ S \) z# N3 cLogic check, 逻辑检查
: ]( e: Q8 a8 ]5 U, H' RLogistic distribution, 逻辑斯特分布
( }) @) v0 l4 T0 a# M5 zLogit transformation, Logit转换$ h9 y( S' f. g
LOGLINEAR, 多维列联表通用模型
3 x# J7 C6 _8 zLognormal distribution, 对数正态分布
6 w* i5 I. g% f" x, PLost function, 损失函数' L/ ]+ o; u3 L; B2 B0 D0 x8 ]' t
Low correlation, 低度相关
0 ]( u" Y+ D2 F ]+ _- M J! lLower limit, 下限, _4 r# d# Q# y* q* R4 X# \4 F
Lowest-attained variance, 最小可达方差
4 ~) x/ H) }; {) n2 `LSD, 最小显著差法的简称; d; [2 a* `- [
Lurking variable, 潜在变量
2 R5 d1 w% S8 v2 rMain effect, 主效应" L/ P" J( K4 L. i, C5 L
Major heading, 主辞标目1 P$ w+ _" i6 f: a% ^
Marginal density function, 边缘密度函数
( g9 X; s1 u6 d0 Z; |. o T: `Marginal probability, 边缘概率
. Y A' w, o8 Z4 \Marginal probability distribution, 边缘概率分布( F( V& f; d: ?
Matched data, 配对资料
0 H$ R2 K- G O0 e W2 kMatched distribution, 匹配过分布7 O3 X. h4 s. }
Matching of distribution, 分布的匹配& y; F8 { O4 [! N. M; y1 ^
Matching of transformation, 变换的匹配
$ c6 g1 p, N- KMathematical expectation, 数学期望
( r3 A& d# f: C" w" sMathematical model, 数学模型
% R1 v4 o+ _: }) |( V1 gMaximum L-estimator, 极大极小L 估计量# [2 V1 v& |7 ^) q
Maximum likelihood method, 最大似然法
' T# d$ f/ {4 _# ]: ZMean, 均数- h& }5 `- M# }% Z& i: L
Mean squares between groups, 组间均方- E$ J. ~2 @9 ^8 I
Mean squares within group, 组内均方3 l, g& u9 D6 g' X- ]7 ?
Means (Compare means), 均值-均值比较
; _% I! @, Y# N$ b sMedian, 中位数
2 F9 g# a" L: h2 ~& r4 ]% RMedian effective dose, 半数效量% p. h$ u4 R7 `9 f
Median lethal dose, 半数致死量& X5 f3 X. O! @3 t6 d
Median polish, 中位数平滑- b1 |$ b+ Z3 D, F0 |! _
Median test, 中位数检验" L8 S/ B3 u' ]. U
Minimal sufficient statistic, 最小充分统计量/ i9 v8 j: e* \! s& N: ]
Minimum distance estimation, 最小距离估计
- G7 F, }/ c+ p T6 N6 pMinimum effective dose, 最小有效量
. T! ^( G+ ~. Q) l; TMinimum lethal dose, 最小致死量
# a/ o- h7 ?, V- Y2 ]Minimum variance estimator, 最小方差估计量6 m- k9 ~6 Y7 n9 N8 A' [+ K5 }
MINITAB, 统计软件包
8 }& a1 [- r5 r9 ~Minor heading, 宾词标目$ f. O3 b( L" i5 v2 D/ Q0 p6 _
Missing data, 缺失值 Z8 w/ h S j4 ^! q
Model specification, 模型的确定# ^# i6 k! f1 M4 p
Modeling Statistics , 模型统计
+ d3 g- C+ O4 s8 K7 {7 \Models for outliers, 离群值模型
) F* D1 c$ s+ n ^' n0 qModifying the model, 模型的修正* w, t a3 S7 S1 f5 T3 K
Modulus of continuity, 连续性模: s1 b$ k1 h3 H1 Q9 N/ v' b
Morbidity, 发病率
$ U1 Z% O' V. e, XMost favorable configuration, 最有利构形
' A$ P4 q- N) U8 C) y& i. vMultidimensional Scaling (ASCAL), 多维尺度/多维标度6 I9 T$ o- k- I& v: g# T
Multinomial Logistic Regression , 多项逻辑斯蒂回归
* { S4 o* B* U* a' c I1 ]1 \Multiple comparison, 多重比较! ?$ I; M& H$ K. S0 ]9 y: V+ O
Multiple correlation , 复相关4 A( ~8 k8 B6 V. C7 @/ @
Multiple covariance, 多元协方差% |# O4 y1 S+ a
Multiple linear regression, 多元线性回归
& {- C- z; V5 P8 @# F! L. @Multiple response , 多重选项
& U ?3 e' X* t0 zMultiple solutions, 多解
: V; D. W/ W7 B) r) }Multiplication theorem, 乘法定理4 }4 h" _" i4 }) D# ~- w
Multiresponse, 多元响应, i! M% f+ @4 I2 D8 y( I# N7 P
Multi-stage sampling, 多阶段抽样
0 M8 X5 K& B$ x0 M. f6 h( _* {Multivariate T distribution, 多元T分布
& s X5 `0 l9 U, P% }Mutual exclusive, 互不相容5 |1 L5 S3 k* _' r7 D
Mutual independence, 互相独立
5 W- |9 |1 w- p2 V# GNatural boundary, 自然边界
+ Z0 L, R, y A' jNatural dead, 自然死亡# |* q( z. X8 ]$ [
Natural zero, 自然零0 a! B2 t( @/ x( H# e; o
Negative correlation, 负相关0 g1 C5 t8 B2 @# n
Negative linear correlation, 负线性相关
& t- c9 S& r5 J6 i2 ]2 YNegatively skewed, 负偏" ]( u5 O+ j9 T, Q
Newman-Keuls method, q检验
+ U# y* W- c4 R) oNK method, q检验
7 y+ M& x% m( j1 z$ X- v3 o$ eNo statistical significance, 无统计意义 \) ~7 _$ _2 r( g+ q
Nominal variable, 名义变量( ?: J4 ?( Q* R3 j" r2 `: m
Nonconstancy of variability, 变异的非定常性
0 Q# w6 n# M0 P5 hNonlinear regression, 非线性相关
. i* r3 `* e$ z, Q" t) MNonparametric statistics, 非参数统计
9 S; L# t/ A$ P# f$ O6 c3 cNonparametric test, 非参数检验: _ t' B C0 c5 t4 }4 `5 c
Nonparametric tests, 非参数检验
O% |9 Y- V: R, o0 WNormal deviate, 正态离差1 n, i$ C& O& }4 j8 q
Normal distribution, 正态分布1 ` E& ]& I; U6 `
Normal equation, 正规方程组
# R8 ~* A$ p: ]Normal ranges, 正常范围, o5 n/ X8 k J% Q% k
Normal value, 正常值
) C" {# U' F" _. w6 rNuisance parameter, 多余参数/讨厌参数, y( j2 p- _ ~
Null hypothesis, 无效假设 3 Z# d$ |/ |; ^& j
Numerical variable, 数值变量- h. u0 n; v8 X s
Objective function, 目标函数
, v3 q8 ]; O0 B7 BObservation unit, 观察单位" w# Z; a8 T0 `) M6 L
Observed value, 观察值
( ?) ?. }+ ?/ S1 }. J# nOne sided test, 单侧检验8 V% n6 P: E, `2 @# D! B0 s
One-way analysis of variance, 单因素方差分析
6 P% j9 d' Q) P Q" W1 V( vOneway ANOVA , 单因素方差分析
1 ^) H% n: J5 s% S/ K/ M& H1 _! [Open sequential trial, 开放型序贯设计% r2 F- D# O- f6 O
Optrim, 优切尾* |6 v3 I% [& P: i0 G* {% F) F
Optrim efficiency, 优切尾效率! A: L$ k" F& u# I. v
Order statistics, 顺序统计量
3 n- \7 U, Y1 aOrdered categories, 有序分类' }! b7 f2 B. F, i7 b8 P$ X2 O
Ordinal logistic regression , 序数逻辑斯蒂回归& G8 C( x1 r6 @
Ordinal variable, 有序变量
% {5 Y; z" _: AOrthogonal basis, 正交基% U( {/ G. e9 x
Orthogonal design, 正交试验设计8 W4 Q8 Z5 n! R" F
Orthogonality conditions, 正交条件: ^) N: J! _- V4 ~ j, |4 D2 M" c
ORTHOPLAN, 正交设计
' O. n/ A! ?/ R' {5 eOutlier cutoffs, 离群值截断点
7 P# _+ K) e# d! y0 K- WOutliers, 极端值
8 S$ Z; `0 o8 t* @' V$ zOVERALS , 多组变量的非线性正规相关 6 I0 B% b, K/ }- y+ U+ q4 r& z6 Y
Overshoot, 迭代过度
+ @: |# H* S1 k3 dPaired design, 配对设计9 T, I* j$ u: \$ q% O
Paired sample, 配对样本1 C& x F1 P- j# l/ B1 R& h2 X
Pairwise slopes, 成对斜率2 O3 q* l+ e8 {2 p* }, X. f) u
Parabola, 抛物线# n' x% |3 d! b/ c+ g# Z$ s
Parallel tests, 平行试验
" Y1 q6 g2 U7 l, v' |Parameter, 参数* M' O2 }/ j9 `+ l
Parametric statistics, 参数统计
( W$ [% }. K- ~; M# DParametric test, 参数检验8 K$ m2 u( \' i) o/ a) N0 M
Partial correlation, 偏相关8 B- l) I. J1 J' u3 g9 u: f
Partial regression, 偏回归
' F5 P" d% I. s# q6 ~Partial sorting, 偏排序
; f0 p, K, ~7 t8 ] JPartials residuals, 偏残差: s: N ~. Z& J
Pattern, 模式2 T- p; B; V" V
Pearson curves, 皮尔逊曲线
7 [1 a2 |: _2 F1 R& {+ v, y# JPeeling, 退层
. m3 V$ y3 c. _# TPercent bar graph, 百分条形图
; i) j! B- j9 H1 W0 |- hPercentage, 百分比) q6 _4 A, o) t0 c' f. l! E
Percentile, 百分位数
; `! ]7 q6 g5 e. q7 aPercentile curves, 百分位曲线: D( ] y, E2 {& X! W. I& ^- B
Periodicity, 周期性
/ {% n1 T- y1 V* g: LPermutation, 排列
2 g2 E- n$ j' o! N7 k2 HP-estimator, P估计量
* L, Y/ M; u' v8 G; i6 DPie graph, 饼图7 g) f3 G# ]& y. n( G: Z( L2 W% ]
Pitman estimator, 皮特曼估计量( P. R/ [5 _ Z# f8 w+ |4 l+ Y/ D
Pivot, 枢轴量
; b4 }8 C! g' B1 |7 M. ?Planar, 平坦
& k+ f2 v& N. J2 ~6 UPlanar assumption, 平面的假设0 t/ h/ |0 X! [- C. s" [1 b9 ^0 \
PLANCARDS, 生成试验的计划卡
- S5 ^4 T. k+ `; ^0 ]2 yPoint estimation, 点估计
& j8 v, Y4 w* e6 TPoisson distribution, 泊松分布7 g! o$ ^! ?4 S/ Y( H
Polishing, 平滑3 {) M/ v, ~* C1 n: Q
Polled standard deviation, 合并标准差9 {2 W. B" K3 [1 t0 H
Polled variance, 合并方差
( Z2 o. [5 C9 g$ _Polygon, 多边图% I1 ^& u' o* W# q2 z. }$ R k1 E
Polynomial, 多项式
& z. ?+ Z. K# g% S: R8 z8 |Polynomial curve, 多项式曲线% T3 k0 k* z# ]. A K: Z
Population, 总体
& A' e# g# ]# T! W5 G+ d0 E6 L4 GPopulation attributable risk, 人群归因危险度% E/ v, e( ^& t' N1 o
Positive correlation, 正相关* }( r3 T, c. T, u+ V4 j
Positively skewed, 正偏
1 t- F% \' e: Y5 L' aPosterior distribution, 后验分布
o+ r. z t( b5 LPower of a test, 检验效能: I3 J% ~0 f/ D( i
Precision, 精密度
6 Z% Y' v5 q) d+ Q; q2 n' w+ EPredicted value, 预测值# y( ]* u$ F' S+ u; j: F
Preliminary analysis, 预备性分析/ v- |" `' I- u
Principal component analysis, 主成分分析, M6 S6 l: y. h8 R
Prior distribution, 先验分布) @3 S8 R$ c6 w; p* u
Prior probability, 先验概率
: r: \2 t# o# G( v- l iProbabilistic model, 概率模型* q' Y6 \7 r' @- e1 K
probability, 概率4 S6 {6 n+ W3 ]* T9 Q! o
Probability density, 概率密度
, V1 ~9 f2 o' GProduct moment, 乘积矩/协方差
% n% l4 B) S2 I' G1 g2 VProfile trace, 截面迹图
! `$ I: Q. u) K4 `6 X& FProportion, 比/构成比
" u* k. l2 w9 N2 i# BProportion allocation in stratified random sampling, 按比例分层随机抽样
0 Z, Y ^5 Z5 NProportionate, 成比例
! C5 \8 K4 p2 v# [Proportionate sub-class numbers, 成比例次级组含量) f: f/ G; [2 h& D; D& Z
Prospective study, 前瞻性调查7 r% M1 `7 v" r7 k
Proximities, 亲近性 # R* ~) W; `3 o' P: X) R
Pseudo F test, 近似F检验/ i, N5 X4 I S Y( i, F
Pseudo model, 近似模型
5 u6 |- M9 o9 [Pseudosigma, 伪标准差
0 _; i7 z/ T0 _" a. Y, {Purposive sampling, 有目的抽样& y; \* q# C# j4 t" e& g, P
QR decomposition, QR分解# V8 _/ Y3 n4 a5 R7 M! y, A, `
Quadratic approximation, 二次近似 _2 Y2 v# u2 D* S
Qualitative classification, 属性分类
Y0 i& w2 B2 x5 H+ qQualitative method, 定性方法1 g! y1 l4 o$ Q5 ]2 z7 |
Quantile-quantile plot, 分位数-分位数图/Q-Q图
1 g2 X9 U$ L# GQuantitative analysis, 定量分析
9 y8 s' ~1 P" H7 n: }, @3 ~Quartile, 四分位数8 y/ ^6 g$ z+ \0 L
Quick Cluster, 快速聚类
1 Z/ ?+ A3 j$ k: }- ?Radix sort, 基数排序
& I, G$ W3 p2 W2 b. RRandom allocation, 随机化分组
5 u( u; G, O$ v( u; g. G5 `Random blocks design, 随机区组设计8 |- y/ i6 U# L+ l7 s% k _
Random event, 随机事件
5 i! M1 c& g* P$ J' iRandomization, 随机化
' H i* a/ k( b* a: z* A( I8 iRange, 极差/全距) ]* h3 G) ?9 e2 B; ?; d
Rank correlation, 等级相关
# j; } k( u# `0 T7 FRank sum test, 秩和检验6 P1 V2 P- |$ K$ {- P `% ]3 |5 S8 n
Rank test, 秩检验
& b7 }+ O' i3 V7 i: h# `) BRanked data, 等级资料
1 z) N" n4 m' @" KRate, 比率
$ }* X- L) e4 `: h" l* aRatio, 比例* O0 e# p+ `3 L7 X. |) j4 n
Raw data, 原始资料
8 Z5 m, r$ g. w! q) R, LRaw residual, 原始残差6 f0 d: v% Q' T; \
Rayleigh's test, 雷氏检验
+ Y. G+ ]- l$ G0 y) ]# `Rayleigh's Z, 雷氏Z值
0 b1 N* }9 P8 g$ w/ Q5 BReciprocal, 倒数
2 j+ f5 d1 k# Q& e& Q# s4 SReciprocal transformation, 倒数变换
: _/ }* ?7 t. C. `% f, k* dRecording, 记录
( I. z- Y2 ~6 l$ _+ [) ? FRedescending estimators, 回降估计量
" }6 f ~) O, i8 ^" d# J! kReducing dimensions, 降维, b: @6 v" j. ~1 G3 \/ O
Re-expression, 重新表达
% |5 b4 ?) v1 c0 uReference set, 标准组
) J: T4 u) u0 i. G2 T A+ _- R* NRegion of acceptance, 接受域
, j1 `2 D3 y. ]' T7 B1 NRegression coefficient, 回归系数5 X$ G. G {2 h ?4 M; H
Regression sum of square, 回归平方和
9 [3 R" o5 i$ Y% J3 J' F5 ERejection point, 拒绝点- h8 t/ Q& K/ F% n1 Z% Y
Relative dispersion, 相对离散度
8 m% H) e, m1 h8 b. B8 ~& J* l8 SRelative number, 相对数& @ x/ W6 B5 H2 w" y6 M1 c% [
Reliability, 可靠性
3 w4 M% A! k- N' y- ^Reparametrization, 重新设置参数- P8 x9 d$ C! x6 D+ k! u' F1 s
Replication, 重复
W- r J5 h0 P- zReport Summaries, 报告摘要( {- g( Y3 i9 q4 j
Residual sum of square, 剩余平方和- U* Z/ I6 m) z
Resistance, 耐抗性
9 z' i, I3 D( X2 EResistant line, 耐抗线
2 Y( N8 a7 I9 K/ ?; U4 ~1 h! KResistant technique, 耐抗技术
* G K- y( o# c* K% U" t9 f6 @+ LR-estimator of location, 位置R估计量
3 X5 l, F: @1 K* c7 y. UR-estimator of scale, 尺度R估计量
) q+ d, T( u! [8 E8 YRetrospective study, 回顾性调查
2 N" D* P" g: ~7 u% q9 n6 ~/ D3 @Ridge trace, 岭迹
! `, w Y! [0 I8 L' \6 U; yRidit analysis, Ridit分析$ B( E9 \, f# o4 f3 K
Rotation, 旋转5 f3 `* p+ r5 s( C5 V
Rounding, 舍入2 l2 e! @" P0 P q! Z
Row, 行: l+ P( ?& d7 _$ y# s/ p% A
Row effects, 行效应
$ T# \6 g8 f9 q& |5 dRow factor, 行因素+ j- l& ^9 C* _3 q2 ?' S L8 o; O
RXC table, RXC表
2 _9 I" P8 ]7 ^/ B! r W- [' m2 qSample, 样本0 r" z9 m, x0 S# Z6 t2 i2 |6 R
Sample regression coefficient, 样本回归系数. Y) v* y$ G; O6 l# x: H
Sample size, 样本量
% @+ R, d' ~" Q9 cSample standard deviation, 样本标准差
# J& U! |2 ?" YSampling error, 抽样误差, Y" t7 i5 v% }" ?3 M6 [9 C, Q* k
SAS(Statistical analysis system ), SAS统计软件包
% w$ ?5 S' z$ q9 y# A3 EScale, 尺度/量表
! o9 H- g) e6 f; e1 ZScatter diagram, 散点图" c* X+ ^9 a& j' x
Schematic plot, 示意图/简图
9 s% y/ I* r( Z, y& u& fScore test, 计分检验$ C5 M( u: g1 [4 \: |- g
Screening, 筛检
7 B1 j% s H# wSEASON, 季节分析
3 c& \( V- v1 d% c% O$ g4 eSecond derivative, 二阶导数
* n& q2 _- e7 [$ a, f5 [9 {, b/ \Second principal component, 第二主成分- u$ \0 i5 ^9 d( g8 w
SEM (Structural equation modeling), 结构化方程模型
6 o9 r- w( p( `0 E9 `Semi-logarithmic graph, 半对数图" o# f) ^& g* z& Y7 p( _; {9 d0 y6 a* Q$ ?
Semi-logarithmic paper, 半对数格纸9 _# C* `. o/ ], `; U- @
Sensitivity curve, 敏感度曲线+ n5 B; t( q ], o! S1 w/ z9 A
Sequential analysis, 贯序分析
7 B' T/ ~. E9 q+ FSequential data set, 顺序数据集9 o7 m. A: {( a7 k1 L" H
Sequential design, 贯序设计
+ t: n. H1 n5 y7 K9 x9 VSequential method, 贯序法3 x) r- X# n: r3 M) \
Sequential test, 贯序检验法/ {1 w# X( M r$ c; I
Serial tests, 系列试验1 i& \. K I1 c K
Short-cut method, 简捷法 % f) u* s# y- @
Sigmoid curve, S形曲线/ ^3 O! }+ P' N
Sign function, 正负号函数! U; t6 n7 A5 w7 U( ?9 I4 S
Sign test, 符号检验
' B7 U; z: u$ m; h) y" ESigned rank, 符号秩
4 j' i8 @/ ^# a/ [- U0 USignificance test, 显著性检验
$ X% {7 U) S8 N- g, f \9 e h5 E) dSignificant figure, 有效数字
- C9 A$ T- I4 zSimple cluster sampling, 简单整群抽样
! a& p/ @% X4 q5 H3 Q3 ~4 F1 m& fSimple correlation, 简单相关$ ?# w4 V5 u: X# s/ I6 J& S
Simple random sampling, 简单随机抽样5 y0 J! X& m Z6 S# \6 ~
Simple regression, 简单回归
$ n( \& A5 A+ a2 t8 S% b8 K" usimple table, 简单表
( K9 f, w/ D# {4 vSine estimator, 正弦估计量' I j: B# i0 x4 _6 f
Single-valued estimate, 单值估计# g4 C9 Q9 m/ R3 h4 Y
Singular matrix, 奇异矩阵( P2 ^ ?; P. n: @$ o
Skewed distribution, 偏斜分布
/ }8 h. w: x. {. dSkewness, 偏度
- q- J" |' N1 h8 E% A3 J1 i' o7 ?8 fSlash distribution, 斜线分布1 C0 {+ S5 {0 B' o, S8 [
Slope, 斜率
4 S2 f! T( x5 q# i- }7 }( {Smirnov test, 斯米尔诺夫检验
9 X, ^: x5 Q' F" R; }6 r; _Source of variation, 变异来源
+ M8 k j" u- A {9 P* N! OSpearman rank correlation, 斯皮尔曼等级相关
! ^& I$ K1 t8 qSpecific factor, 特殊因子' r0 w) U+ m5 H1 i/ ^6 h$ x
Specific factor variance, 特殊因子方差
4 {* h$ b& R0 ISpectra , 频谱
* q- Y7 g# l/ D; H( l) rSpherical distribution, 球型正态分布, u& e; r5 \7 p# f' ]
Spread, 展布+ d: c' E' H" @. Q, j: Q' w
SPSS(Statistical package for the social science), SPSS统计软件包' }2 d: L' ?1 v+ R) z6 f# T
Spurious correlation, 假性相关
$ j4 I2 |. E dSquare root transformation, 平方根变换- K# o: t' ]- n2 \! L
Stabilizing variance, 稳定方差
, n0 n0 d6 `8 f5 Q8 b0 HStandard deviation, 标准差
; |' n, B; m' L3 r _5 t- ?- OStandard error, 标准误, B3 h! q) K$ y7 W
Standard error of difference, 差别的标准误
$ q# [4 }8 a* P+ Z6 u/ x1 d- WStandard error of estimate, 标准估计误差3 e0 V9 t' O5 w8 C
Standard error of rate, 率的标准误6 p4 b3 y9 X2 p- \- m0 T8 ^
Standard normal distribution, 标准正态分布8 m) o+ H# J& ]; g+ y; v3 k
Standardization, 标准化7 _" ? Q% d& E6 D& T- s ~& [+ |! f
Starting value, 起始值$ d! [$ p# y) ~3 _( Z8 X; n
Statistic, 统计量/ m* P r: r# D
Statistical control, 统计控制( X5 `) n% U: }, Z0 n( e
Statistical graph, 统计图& r0 e" C2 Y+ G$ n" z
Statistical inference, 统计推断
/ l4 P* L5 p' }# F* e4 bStatistical table, 统计表$ i2 j0 E+ I( S$ `% ^- [% w
Steepest descent, 最速下降法
( Y$ B, [; e% ]6 H: AStem and leaf display, 茎叶图) r3 [6 c. D1 w7 \7 w
Step factor, 步长因子. i# B. s- P2 N" l
Stepwise regression, 逐步回归3 x% ^5 z6 J$ e" q+ K& T; j' ^
Storage, 存- Q# [& a& X. I1 `5 o
Strata, 层（复数）
' P, K5 }4 f# \0 o- a; m/ ]; LStratified sampling, 分层抽样
# F; m) A/ P4 a) a/ @; b# P* W( RStratified sampling, 分层抽样8 M1 b+ H, T" ^1 W% D. s" B
Strength, 强度
9 [7 t# S$ Z5 a4 AStringency, 严密性
( ~) I! [1 @( b4 cStructural relationship, 结构关系
4 D6 M! o! v/ jStudentized residual, 学生化残差/t化残差! r# T t1 {: q- i; p+ F. g
Sub-class numbers, 次级组含量+ e: g3 j1 I6 Q3 {; t
Subdividing, 分割
1 T. o8 M7 T; R8 d1 s5 W4 kSufficient statistic, 充分统计量/ h \. M3 Z2 b+ U Y4 J. n
Sum of products, 积和% J& u- d" E9 B! R9 P
Sum of squares, 离差平方和, B- z+ @2 w; j( C2 l3 z( e/ Z
Sum of squares about regression, 回归平方和# |$ _( B; |: ?8 P
Sum of squares between groups, 组间平方和0 C1 K4 e) n, Q# R2 F
Sum of squares of partial regression, 偏回归平方和
R9 u& m+ Q5 cSure event, 必然事件3 n. Q* P# H. a0 r/ Z
Survey, 调查
" O. n. `9 h# gSurvival, 生存分析# R+ Q. x, f/ G4 _9 G
Survival rate, 生存率
: U: I. A: V r9 K2 ~! c9 WSuspended root gram, 悬吊根图
! e- q3 E! e# P' |: p9 pSymmetry, 对称
0 s5 }$ R/ Q1 H( c V1 D YSystematic error, 系统误差( {# R5 Q+ E9 N, ?6 D+ P
Systematic sampling, 系统抽样* C0 F1 n. C% u$ \8 S0 Y
Tags, 标签% [7 N8 x, B! O# d# d. s0 g
Tail area, 尾部面积
. S7 z- y2 C1 p6 I% l5 W+ A9 aTail length, 尾长% u* I4 T: w n, m( J
Tail weight, 尾重
6 q2 Z4 D6 o. l6 K& v) x+ {4 QTangent line, 切线
0 x6 E3 M' q! j' s3 eTarget distribution, 目标分布
. F& T7 U# k# ~& U) X* h3 T5 P8 mTaylor series, 泰勒级数0 L" L) ?1 a; ~' L* K* k
Tendency of dispersion, 离散趋势
" M$ w5 ~7 J2 h: X5 lTesting of hypotheses, 假设检验3 @! B+ _5 i1 r. d! z
Theoretical frequency, 理论频数
9 a2 ~. H. a: u p/ \; T sTime series, 时间序列
# \9 {1 Z6 ?9 W0 h" }" N( P' aTolerance interval, 容忍区间; {7 M7 c* E/ U; j2 ^7 ~4 V& }
Tolerance lower limit, 容忍下限) L/ x8 L, F t' P
Tolerance upper limit, 容忍上限+ v7 p$ _$ g% Y9 g6 O3 X; l3 w
Torsion, 扰率4 d$ n' D& v ?( W1 S( Z4 A8 F
Total sum of square, 总平方和& L, P; H v, l
Total variation, 总变异- H( Y4 H1 i& I0 P
Transformation, 转换
, f/ s! k: l# X5 e$ q4 p3 l! U+ KTreatment, 处理' S7 G& A+ V: l% V
Trend, 趋势1 ~3 S, C2 X2 b F
Trend of percentage, 百分比趋势" C$ V/ l6 I. F. n# j6 h7 {1 w
Trial, 试验+ R# h# J: `9 z1 [9 P, e1 H4 c5 |
Trial and error method, 试错法
$ q G' v$ T: B. i% v: C3 qTuning constant, 细调常数
* K( o n" l5 g$ r2 @; QTwo sided test, 双向检验
7 W/ w5 L6 L/ `Two-stage least squares, 二阶最小平方$ [ a$ t* r+ [
Two-stage sampling, 二阶段抽样( r0 J. `. l; U, O* y* A' n
Two-tailed test, 双侧检验( g& |: H; I4 `: G( T4 C
Two-way analysis of variance, 双因素方差分析7 ] P% k- ~ @2 c; w
Two-way table, 双向表
0 \8 q! l2 m2 M' i0 b6 A* XType I error, 一类错误/α错误
+ v; a- \3 o# w* U I6 X2 mType II error, 二类错误/β错误1 h* \) g8 _8 w3 D
UMVU, 方差一致最小无偏估计简称
l U; x1 c7 P- r4 t/ mUnbiased estimate, 无偏估计$ i% J7 l- A3 j9 j5 W" |5 _6 V
Unconstrained nonlinear regression , 无约束非线性回归1 P j1 e3 ?& p8 \) A& Q8 `
Unequal subclass number, 不等次级组含量, i3 \/ w- o5 j7 x; Q
Ungrouped data, 不分组资料7 p3 S I+ a7 d- W$ q% x, I
Uniform coordinate, 均匀坐标
; V2 _5 ]- @* Z4 MUniform distribution, 均匀分布5 Q9 M" m4 O6 J
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
* P: ?4 I( _+ R6 m3 F+ ]+ O4 k" }Unit, 单元$ o$ P% F4 i8 \) Q! Z+ D
Unordered categories, 无序分类& y3 h" R8 c; P
Upper limit, 上限0 ]! ^ P7 ~' s5 I$ T0 }2 U
Upward rank, 升秩$ a4 P! v5 d; B: L
Vague concept, 模糊概念4 a, T& d9 J9 K
Validity, 有效性: @, Y' x9 A2 x# g4 H$ h
VARCOMP (Variance component estimation), 方差元素估计
8 x) x& d1 `% J: eVariability, 变异性
- j' u; {4 c! n8 M+ h% v: e; eVariable, 变量, N; f4 K4 j X9 n! M- ~
Variance, 方差
& V+ D+ f% {, H: n cVariation, 变异- D) y1 g2 X; v! O
Varimax orthogonal rotation, 方差最大正交旋转: i8 |' v$ G! I+ [1 Q5 {
Volume of distribution, 容积; n1 d2 T0 r- B
W test, W检验
+ c' l) r3 g! \7 }7 e& S* SWeibull distribution, 威布尔分布
1 e e0 E+ B# Q* V& G* RWeight, 权数
+ \& F. a% d$ XWeighted Chi-square test, 加权卡方检验/Cochran检验8 y9 S5 z. H0 _5 a. \) n, o3 ^4 ~
Weighted linear regression method, 加权直线回归, K( g6 g9 W- P( B. v; h
Weighted mean, 加权平均数
5 r9 A* D" F( |7 HWeighted mean square, 加权平均方差
J% u+ M- Y1 o& d; v/ UWeighted sum of square, 加权平方和
( d2 b' _4 U, |/ V* y+ IWeighting coefficient, 权重系数
! O& W. x% T1 x* ]# ~. F" G% kWeighting method, 加权法
9 T7 e [7 [, l/ s2 ?. S& E* |, e5 d: iW-estimation, W估计量
- B3 o; }+ P, }& f c6 \W-estimation of location, 位置W估计量3 D" d, {# @: p( A9 V
Width, 宽度1 i, m- W% ?8 {2 q: D9 K. J& e
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
9 _3 [8 M* O) o' g' o5 O. w. }4 I4 VWild point, 野点/狂点
2 ~8 _7 O7 E w U: m' P/ g HWild value, 野值/狂值
# V) i: ]" V8 F7 TWinsorized mean, 缩尾均值/ X9 w2 k# c) g0 \% w1 ]
Withdraw, 失访 ! @+ o3 L2 j! J- k. L& C
Youden's index, 尤登指数
5 c0 y: O9 n# I; {: ~. X& gZ test, Z检验$ B: b$ [* x2 l" [! X, h
Zero correlation, 零相关- i9 Y$ X. W9 _: I3 G
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
