|
|
Absolute deviation, 绝对离差
; T- ]1 g# q$ a8 p9 @Absolute number, 绝对数: U! C3 \3 R) l" D8 C1 Y/ l
Absolute residuals, 绝对残差
& F$ w. ^4 E0 X' }Acceleration array, 加速度立体阵
; I& [0 o& i) X9 rAcceleration in an arbitrary direction, 任意方向上的加速度9 Q# L# P" z$ Q+ {1 k
Acceleration normal, 法向加速度3 C f( X9 F2 E1 b
Acceleration space dimension, 加速度空间的维数& i. @" ?- L! ^ ]7 R& e
Acceleration tangential, 切向加速度: E8 x% }+ m8 t( P" C
Acceleration vector, 加速度向量) {+ h; d: a+ |; d( o% ~" j0 O
Acceptable hypothesis, 可接受假设5 H' m$ M4 \) g( O! G
Accumulation, 累积
' W" {/ y; e( l6 `1 ?Accuracy, 准确度" I: H. E/ A% U8 n3 s8 U
Actual frequency, 实际频数
" X4 D @) Z% s6 N: FAdaptive estimator, 自适应估计量# ?/ J# p+ X9 Z" |
Addition, 相加. t3 _. b7 ~) A# K: k9 L& _. p- ?4 y
Addition theorem, 加法定理
1 a3 k2 Z" U6 |5 {& M2 IAdditivity, 可加性
- @; f$ V5 u9 E+ l9 j- EAdjusted rate, 调整率
2 o7 U6 E% Y' sAdjusted value, 校正值# J0 l/ m: Q9 U" b1 F$ N
Admissible error, 容许误差, n, u! T' r! i4 ~9 j
Aggregation, 聚集性/ q$ A3 u9 N5 z9 V. N- a- O
Alternative hypothesis, 备择假设, x- w8 r7 F5 w
Among groups, 组间
+ m% _0 Y+ B+ y( U& G% A3 j5 dAmounts, 总量
8 j) U6 [4 a/ B' e8 l* wAnalysis of correlation, 相关分析$ c7 P4 t! e% ^$ R
Analysis of covariance, 协方差分析
: ~6 x: f( \+ q4 s0 V" X& B! v2 m5 SAnalysis of regression, 回归分析. U# m) b( w8 t( v+ X; C
Analysis of time series, 时间序列分析5 a. @' _& r: U8 A) y
Analysis of variance, 方差分析) g$ ~( @0 e8 z ]" r# a
Angular transformation, 角转换1 j- x' @" J3 e
ANOVA （analysis of variance）, 方差分析* e: J F/ e% O# C/ |7 ~. {
ANOVA Models, 方差分析模型
! v$ M) g- c+ O3 t$ [- PArcing, 弧/弧旋0 m- J" c( r+ p9 a$ W9 q4 k% b
Arcsine transformation, 反正弦变换( f. C5 l+ S5 {& B7 e) @
Area under the curve, 曲线面积
' @. ~& ^% U! d! ZAREG , 评估从一个时间点到下一个时间点回归相关时的误差 8 L9 `* v, p) w
ARIMA, 季节和非季节性单变量模型的极大似然估计
! X: h+ M0 W. e8 o# Y+ LArithmetic grid paper, 算术格纸, U0 S$ V0 P$ _) d" M* l( B' }: c
Arithmetic mean, 算术平均数9 A9 m2 {! m- e! |2 J1 P
Arrhenius relation, 艾恩尼斯关系2 C1 J2 G2 h8 o H( h0 C C
Assessing fit, 拟合的评估5 S1 Y2 U4 @5 [- B
Associative laws, 结合律
, [9 O% r& j6 D/ \! xAsymmetric distribution, 非对称分布
0 z% u- ~0 o3 aAsymptotic bias, 渐近偏倚
# y+ ]# c5 H, H- e' F7 U( s" \9 _Asymptotic efficiency, 渐近效率
& l% y* z L& w3 r* P$ ^2 YAsymptotic variance, 渐近方差
" E; K4 |- _; s( W2 [5 C+ IAttributable risk, 归因危险度
& M: N5 s$ e. D" q/ l$ dAttribute data, 属性资料) v0 X& V! A5 f( }- k1 [* S
Attribution, 属性
- z& u) d. }& T: {Autocorrelation, 自相关( l/ b( R0 {- H3 a' o6 t0 [
Autocorrelation of residuals, 残差的自相关4 I9 o6 o. }( G' k% b K/ i; }1 U
Average, 平均数( \ `" N+ K O6 L7 ^3 f, o9 M
Average confidence interval length, 平均置信区间长度
/ v& _- d6 `. o ]Average growth rate, 平均增长率; X! ^1 }& T" E2 `8 n: B
Bar chart, 条形图
5 R- h$ a! ^ X" k. x& BBar graph, 条形图
& k6 j4 h/ h L2 sBase period, 基期
$ b$ i& ~ B" C0 t5 ZBayes' theorem , Bayes定理
! @+ q" u* y" H! U# |) sBell-shaped curve, 钟形曲线
$ H# U& b2 |! ?% g4 i$ H. fBernoulli distribution, 伯努力分布
- w# c2 I6 O/ Z' w$ I# @" h$ DBest-trim estimator, 最好切尾估计量
& F2 D' ~4 y$ k, ~% Q/ c* D) qBias, 偏性
; T$ u: O o' y! c* L, UBinary logistic regression, 二元逻辑斯蒂回归& t5 V0 U- ]+ C1 G0 \% n
Binomial distribution, 二项分布
* l; ^ ^+ |2 R3 W; \; TBisquare, 双平方
9 L& a1 G+ W/ c2 }Bivariate Correlate, 二变量相关
5 v6 @% h5 [; B u1 d2 P1 m! oBivariate normal distribution, 双变量正态分布# Q1 d1 }" E* r, a$ o
Bivariate normal population, 双变量正态总体
7 z2 Q" a& a8 J! PBiweight interval, 双权区间
$ }1 J- V; |2 D& HBiweight M-estimator, 双权M估计量
, d8 B, W+ ~' X$ z, E# u) {7 sBlock, 区组/配伍组$ c( l# V6 ]9 c1 B/ @" `
BMDP(Biomedical computer programs), BMDP统计软件包7 B8 r; w% @, E1 Z
Boxplots, 箱线图/箱尾图! n J: }* ?+ ?' T) u" N
Breakdown bound, 崩溃界/崩溃点' X: k( m* w( H/ z
Canonical correlation, 典型相关( W; D( M3 P- C5 e2 O) j7 F
Caption, 纵标目
2 K! o& u5 L. Q xCase-control study, 病例对照研究( U* [: p% y4 d7 _! b
Categorical variable, 分类变量! `5 O0 ]* ?9 b% c7 A1 ]
Catenary, 悬链线
- W, a) A6 `6 S/ T \" Y! [0 SCauchy distribution, 柯西分布1 r5 y3 n G7 F+ R8 K3 \% u
Cause-and-effect relationship, 因果关系
: ^& j1 l# Z9 KCell, 单元
; O m: c0 B; F( K& g: N# u" dCensoring, 终检
( D# q: n# L# O8 kCenter of symmetry, 对称中心) o1 ?" I' _# y; y, S
Centering and scaling, 中心化和定标
" }6 ^2 f# y& \. b k4 w2 X+ X. R; BCentral tendency, 集中趋势
" A; i* B. y. d- ZCentral value, 中心值9 m! h8 W( I+ |& u- O2 _' z+ ~! X2 l
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
- a0 {: P- S* z: j6 I' v. o1 i% pChance, 机遇
& P; E7 z+ H! V+ M1 HChance error, 随机误差
3 R, Q* V" {5 k& [- L# Z9 bChance variable, 随机变量% D7 j* D7 R: g; X
Characteristic equation, 特征方程) k/ N+ E# }$ o3 c& G2 c$ @5 d
Characteristic root, 特征根) ~+ a |9 N2 k) s8 i4 O
Characteristic vector, 特征向量' J" |+ s; f7 _" y4 b4 l4 d; E/ O
Chebshev criterion of fit, 拟合的切比雪夫准则4 z( x: J( j1 K& K3 h4 T
Chernoff faces, 切尔诺夫脸谱图9 |8 |: z/ Y0 A# B! O" {
Chi-square test, 卡方检验/χ2检验
) k. ~' d7 y' h, F9 u. v* CCholeskey decomposition, 乔洛斯基分解2 N5 ]- l7 b+ ^* k% r
Circle chart, 圆图 9 b/ b# |3 Z; E3 e
Class interval, 组距
D% ^6 m" Z/ \7 ?, P3 cClass mid-value, 组中值
v* h5 y4 O; [1 @Class upper limit, 组上限' s0 k3 L9 c q$ O3 ]) t8 }
Classified variable, 分类变量
3 Y2 y! I" @. b; ^/ DCluster analysis, 聚类分析" J/ W8 _' M3 [8 G( B
Cluster sampling, 整群抽样
& S7 `7 t8 v+ a2 j7 V' L+ VCode, 代码
% H0 `5 y3 } VCoded data, 编码数据
8 C, M C. R# G$ kCoding, 编码7 M* D0 J$ o, [& ~' l" p- D
Coefficient of contingency, 列联系数" r9 G$ h( y0 M: j4 h4 K+ H& o
Coefficient of determination, 决定系数
- X6 [% H6 h$ j" \$ aCoefficient of multiple correlation, 多重相关系数
& B( [/ J; t8 p. W6 H$ mCoefficient of partial correlation, 偏相关系数
3 v+ L# u I3 }# c5 T. m- P1 e5 yCoefficient of production-moment correlation, 积差相关系数
; U- O9 T& Y! |( J9 D( w) M0 w0 gCoefficient of rank correlation, 等级相关系数
( P$ |# [0 V: i" P% c6 W. GCoefficient of regression, 回归系数
; K6 y( f) k+ m3 E* C' W, f" nCoefficient of skewness, 偏度系数0 z# L2 n/ {8 J9 P* _
Coefficient of variation, 变异系数' E5 @( c) l$ P3 o h
Cohort study, 队列研究
6 q0 I* Q$ l& z# G ~3 ^Column, 列4 ]. f, B- b* Q5 h, G6 d) @
Column effect, 列效应& }9 j9 r y8 {6 L& J+ W
Column factor, 列因素
* V3 h3 Y& i3 [$ g, ?4 lCombination pool, 合并6 k& g M9 q) L1 g: k/ E! V
Combinative table, 组合表+ k2 E. }# X$ \; B6 Q3 s4 ]2 I
Common factor, 共性因子
0 p7 F& m F1 X+ C" PCommon regression coefficient, 公共回归系数7 z! ?3 R& g3 F4 u
Common value, 共同值
" c( G5 M( J f% {2 Y/ T# C: ?2 ~, cCommon variance, 公共方差
; {7 s+ P8 U! X( ~; c( [/ FCommon variation, 公共变异
8 `1 [7 h7 K% D: bCommunality variance, 共性方差" _3 M0 H- @* ^0 |. D" R1 d! n
Comparability, 可比性
2 {# Q, y) ~; l' RComparison of bathes, 批比较5 X4 e" m: N2 _$ v4 M; x2 [
Comparison value, 比较值" M3 {: q" r5 y$ I' G% q
Compartment model, 分部模型
" R7 `, [: f3 ?% GCompassion, 伸缩
8 }7 t# S4 u' H$ ?9 Q9 H( PComplement of an event, 补事件6 \3 X" r8 g( w- w8 n2 X$ P
Complete association, 完全正相关" a% N) W* \- y8 F
Complete dissociation, 完全不相关
! ?% |/ P0 Z9 U, f# v( b# U: w$ ?Complete statistics, 完备统计量
- Z9 g1 W; b$ d4 ^- GCompletely randomized design, 完全随机化设计
/ h% H% P' T5 J: \Composite event, 联合事件
|. [# q- p% \$ vComposite events, 复合事件! I5 T' H: N1 }
Concavity, 凹性5 i* z) K0 s5 X4 t I: W
Conditional expectation, 条件期望
5 s( i; a, Q! pConditional likelihood, 条件似然' d9 L6 G3 f( C
Conditional probability, 条件概率
3 d1 V5 E8 @3 dConditionally linear, 依条件线性
# V0 {0 A3 R* CConfidence interval, 置信区间9 B3 V4 J( Y4 s0 Y6 r
Confidence limit, 置信限. p/ N: [2 s6 f1 W
Confidence lower limit, 置信下限6 {# F& G/ m D4 l7 s! N
Confidence upper limit, 置信上限" E4 K" M4 @9 x& m2 b, T
Confirmatory Factor Analysis , 验证性因子分析
/ ]* l: ~6 s5 T0 `% G0 D; B1 ZConfirmatory research, 证实性实验研究, y+ a; v. [' i6 M7 L7 _" w6 C- ]
Confounding factor, 混杂因素
. }7 {$ K" N- i: t, KConjoint, 联合分析* J, ?; b/ x/ j, H
Consistency, 相合性3 E/ [% [: n2 d) H! K
Consistency check, 一致性检验' Q: c- N: }* B" t0 u2 j7 F
Consistent asymptotically normal estimate, 相合渐近正态估计
+ S- K# o, a( gConsistent estimate, 相合估计% R( z2 f. U; L* c, D% C
Constrained nonlinear regression, 受约束非线性回归
5 q! N* _' w5 a" T. ?. QConstraint, 约束" a) j2 Y H: y$ Z O
Contaminated distribution, 污染分布# h4 P$ Y! I* O4 `2 P3 u
Contaminated Gausssian, 污染高斯分布8 ~1 O7 S! W- q. V* C$ X0 g' F
Contaminated normal distribution, 污染正态分布
3 \6 m: R0 w1 q" ]! qContamination, 污染
+ ~8 R- ^/ x1 s$ p% YContamination model, 污染模型3 r2 ~3 n: b. h: A9 Y' l
Contingency table, 列联表
" G4 O5 K" H' U6 D/ d* s$ W) [Contour, 边界线! b. J; j/ {/ w S+ W1 J3 n4 M
Contribution rate, 贡献率. U C9 X$ L8 P3 e* I
Control, 对照" {: f1 g. k0 X) l9 m2 l7 y9 W
Controlled experiments, 对照实验
, Y- T4 v: A4 V4 u5 }$ ~: BConventional depth, 常规深度
T5 i; D0 v: p7 F; D6 D. kConvolution, 卷积7 d6 X) |; N5 [% y
Corrected factor, 校正因子# F1 \: D7 \1 w
Corrected mean, 校正均值
' @2 A1 V2 `8 N8 I$ d! ~Correction coefficient, 校正系数5 p" P; f( t3 e" N9 x9 g
Correctness, 正确性
5 \" l7 Z6 H. q/ F$ n5 XCorrelation coefficient, 相关系数
+ v8 F# l6 M6 \Correlation index, 相关指数- |) D' M6 j! n9 _0 ~- x+ c
Correspondence, 对应2 O! I" O2 ^' O! n( s S
Counting, 计数
( `+ u8 O" {: @+ YCounts, 计数/频数! z8 |/ l, P' V$ _9 P# I" G/ j
Covariance, 协方差' C! p8 m1 H9 m( P
Covariant, 共变
, E0 w; P: E; r: b5 hCox Regression, Cox回归: |/ Y$ S# E8 a
Criteria for fitting, 拟合准则
0 O0 F4 D) S8 qCriteria of least squares, 最小二乘准则
2 P) D( w: J* _9 wCritical ratio, 临界比3 @: A5 b; u) N* S
Critical region, 拒绝域7 U: s' L; ?( ~1 j% y2 Y
Critical value, 临界值5 _/ W) E, u& B) V( { [ ?
Cross-over design, 交叉设计% r1 q. a" c3 L2 U H$ E
Cross-section analysis, 横断面分析
" G3 \/ O& P1 Q; z( w H9 oCross-section survey, 横断面调查
7 r+ y a; W( a2 i7 bCrosstabs , 交叉表 " I0 Y6 ^- n+ Z! w- O3 [: r" r
Cross-tabulation table, 复合表2 m U. `) g, W. ~/ ^- z- E
Cube root, 立方根% V5 H$ i( m( x1 q! T* e. O
Cumulative distribution function, 分布函数3 _4 R* R" ] A4 Q* K
Cumulative probability, 累计概率
/ W. X. N/ ^: {3 P. |3 ?Curvature, 曲率/弯曲% Q7 I$ i0 ?! ?: }0 y6 K
Curvature, 曲率; w' X" v. b0 W9 E5 y
Curve fit , 曲线拟和
: s: ?1 f4 L! |; WCurve fitting, 曲线拟合! |3 _1 T( W- h. X1 P! A
Curvilinear regression, 曲线回归
7 k& l, }7 s4 |' ^. h! ~: F: ^- g/ bCurvilinear relation, 曲线关系
9 o( F1 T5 w. Q/ I0 M, RCut-and-try method, 尝试法
( \! d" Y9 J! MCycle, 周期
7 p/ K0 |2 n' O& b0 a0 oCyclist, 周期性/ D0 d9 b m$ W* n: }8 [! f
D test, D检验
% j& ]3 H! V% I, p: g* |Data acquisition, 资料收集2 B0 `; \! W+ {
Data bank, 数据库; G- T1 V9 W0 K
Data capacity, 数据容量
& T8 y2 j* n! U# l! y" B, EData deficiencies, 数据缺乏+ H% s" k5 l5 c: @4 Q" V6 M) S' z
Data handling, 数据处理
) D. E2 _+ Q, M) l r/ ^Data manipulation, 数据处理
* t8 N. q2 N. L( x' e- P) ~Data processing, 数据处理
% t; s ^% @! z a# rData reduction, 数据缩减8 r0 U4 s1 J6 u% X& v
Data set, 数据集
9 z; b) y( q# G4 V3 @' hData sources, 数据来源/ j/ c4 w Q! D9 q |
Data transformation, 数据变换2 X- n* e7 n" |* X9 P s, ]" D2 J
Data validity, 数据有效性) @1 ^! `; O- y
Data-in, 数据输入' \. V' [0 U) c3 a( o$ J
Data-out, 数据输出
- ?3 \0 o3 v3 e. JDead time, 停滞期; c$ j, A$ [; e e& A
Degree of freedom, 自由度
: e9 y1 Z7 r6 ^% l8 }7 ]Degree of precision, 精密度
2 O* T/ I9 q) m$ t$ b" VDegree of reliability, 可靠性程度* s" t% e9 o( w1 X( ]1 k
Degression, 递减
* j; p. U, T" |. v& |4 iDensity function, 密度函数
! L- G/ ?( u0 W SDensity of data points, 数据点的密度8 ^6 Y5 T' D4 I* _; i& z
Dependent variable, 应变量/依变量/因变量
1 B6 v5 U) c; c4 F. rDependent variable, 因变量
7 [! S1 k& p1 k- Q6 l' d+ V" ]. DDepth, 深度8 M0 Z0 M0 J) I" B, D4 O
Derivative matrix, 导数矩阵 ?) c$ @3 R) p# X8 Q1 X! X- s
Derivative-free methods, 无导数方法4 w R% N; P( }' [
Design, 设计# W1 d* _2 ?. q* V
Determinacy, 确定性
# |5 {9 E- V0 h- D9 c7 \Determinant, 行列式
+ b! T+ ?9 Q; uDeterminant, 决定因素" ~4 L& I/ F% \4 a
Deviation, 离差
' t, {6 A$ Q% E. tDeviation from average, 离均差
! @/ ~" R- _5 V5 i' IDiagnostic plot, 诊断图
* Z/ ^' _! J/ i( L* B' VDichotomous variable, 二分变量2 `% ^. ? I. q* G- f* F3 e1 V
Differential equation, 微分方程6 L9 \ G# [& | {; h* F; d
Direct standardization, 直接标准化法
; y6 C4 w+ q/ G+ T& |Discrete variable, 离散型变量/ q* F) ?& @" ?" i+ [
DISCRIMINANT, 判断 - P/ A$ X! X: @+ c
Discriminant analysis, 判别分析1 m% A3 J J- J" g
Discriminant coefficient, 判别系数
/ d. j$ S( p$ Y; n( W% v$ pDiscriminant function, 判别值
* p5 W6 T0 I1 U: ~9 w, V+ k oDispersion, 散布/分散度
' P* |/ e: U/ ?Disproportional, 不成比例的2 t' \# S8 u) w" H5 c
Disproportionate sub-class numbers, 不成比例次级组含量
8 r; g) k, y; k! R: Z) fDistribution free, 分布无关性/免分布( ^7 F3 U- n- x' o: T) k9 y' _/ {
Distribution shape, 分布形状8 r' f5 z+ z, x
Distribution-free method, 任意分布法) y; `* Z/ A5 n9 b8 f5 Z2 Y( C" ~" V: {
Distributive laws, 分配律' }3 w+ i$ o" ]
Disturbance, 随机扰动项" u6 j' w# }0 t' `) _0 S
Dose response curve, 剂量反应曲线
& m5 w( ]% F& s* m* T+ R" X$ gDouble blind method, 双盲法
# L# s A) \6 TDouble blind trial, 双盲试验3 L7 X* J; `" O
Double exponential distribution, 双指数分布7 Q B# i+ v. K2 ?3 r$ H" o
Double logarithmic, 双对数8 l/ T. w+ d3 j g: w
Downward rank, 降秩
8 L) e, s1 v6 \5 H X3 T3 KDual-space plot, 对偶空间图. e5 i/ L+ x& }& E! m. g$ |. H" j
DUD, 无导数方法2 W$ p6 n/ |' r) s4 |! y( A
Duncan's new multiple range method, 新复极差法/Duncan新法& d$ Q. ?1 S3 o( `; c4 v" _4 Z2 K7 B
Effect, 实验效应 W. x- _: W: [; a2 S4 v5 m7 e) S
Eigenvalue, 特征值
k; A, }+ S* s# dEigenvector, 特征向量' V* t" `$ S. I+ ~, F
Ellipse, 椭圆% T3 @5 a1 Y! }2 _# l P( l% U& e
Empirical distribution, 经验分布1 Q8 V: n* R* a' z
Empirical probability, 经验概率单位& ^( f0 c! {# J ~# E# _2 G; l
Enumeration data, 计数资料0 H4 S4 z% k$ M! H% Q V. z
Equal sun-class number, 相等次级组含量' ?% J/ [* C9 x
Equally likely, 等可能5 h! ~) b" y! x( y4 M; ^ m
Equivariance, 同变性2 b6 T) o. p( ^# q" t
Error, 误差/错误
5 g) R; }9 u) j/ U0 e, eError of estimate, 估计误差
1 l) A1 u& J, fError type I, 第一类错误
* g* M/ b. k# Z& |9 M7 z4 J7 jError type II, 第二类错误/ H" R; ?- Q# D; \: K& T; Q- N
Estimand, 被估量* o) |; y# @7 e/ p) d% R
Estimated error mean squares, 估计误差均方: |5 v9 d0 d! v% G q$ Q) H
Estimated error sum of squares, 估计误差平方和
' V0 u. ?: b0 l& H" u- y7 FEuclidean distance, 欧式距离
1 ]& @) {# \2 Q: }Event, 事件
0 Z" i4 b) ^* U! [2 q5 D. IEvent, 事件
* M# F# y6 D! L2 @0 kExceptional data point, 异常数据点" k B" d/ ~* `( L7 M% T- M2 y
Expectation plane, 期望平面
' Z% @9 L V; T3 n b* x qExpectation surface, 期望曲面
2 K8 d, m' C5 m2 ?) \8 U7 mExpected values, 期望值
: w) K* `+ N; b9 y0 x! S5 S: SExperiment, 实验5 W8 E0 V+ [# M3 r( D1 p
Experimental sampling, 试验抽样/ n& S7 R- c4 R4 W: m: G" i
Experimental unit, 试验单位
2 j( H/ m% K& }8 wExplanatory variable, 说明变量/ |' O2 @+ h Z
Exploratory data analysis, 探索性数据分析
0 D9 R! m5 ^3 h+ x5 Z+ C, `Explore Summarize, 探索-摘要
0 w8 L( C' y# }5 ~Exponential curve, 指数曲线 V5 q( e& T- i1 _# l! `
Exponential growth, 指数式增长8 m0 E: G2 j7 R: w
EXSMOOTH, 指数平滑方法 k" ~: m% g3 t7 F8 a
Extended fit, 扩充拟合( \- Z' a1 H& o
Extra parameter, 附加参数2 k F, w) n3 ?& r. z
Extrapolation, 外推法; ]- Y% `3 W% l# G5 M, Q
Extreme observation, 末端观测值5 z# Y l# `8 k m- R# [
Extremes, 极端值/极值
+ ^4 j! M, v+ g, e9 h2 N/ D$ qF distribution, F分布1 G3 a! F! Y' c- l6 _' Q g
F test, F检验% P; d. w2 A* S: c$ q J' B1 d$ I
Factor, 因素/因子
' K, r) w# @, {2 S# p7 g7 G! BFactor analysis, 因子分析2 O7 l+ }2 S/ Y
Factor Analysis, 因子分析
/ C" H6 g h$ a/ P6 b; BFactor score, 因子得分 % m% j/ R9 x6 b0 S
Factorial, 阶乘" f) J; _3 ~- w% @4 x
Factorial design, 析因试验设计* \ j/ K% A. x$ v! t3 Y) x1 p7 {
False negative, 假阴性% `) n/ m( }& F* x4 I. y( ~
False negative error, 假阴性错误3 I P2 S; P0 h5 q
Family of distributions, 分布族9 b3 m1 P( r8 z' W: a
Family of estimators, 估计量族
% L! M: b( L" B' p, M# hFanning, 扇面: i" { H& U, _. l2 k
Fatality rate, 病死率0 p' ^4 p; A. Z6 a" P, c
Field investigation, 现场调查
: A( q% L- J1 ]$ B! S* V l6 aField survey, 现场调查
# Q: R. } \! ZFinite population, 有限总体1 {8 p0 W4 s1 x. p+ C$ K8 `
Finite-sample, 有限样本
4 x+ @9 [9 J K+ Y% g) TFirst derivative, 一阶导数
( j c9 m4 [) u7 M$ wFirst principal component, 第一主成分
- v( O4 n( q: Y' G1 bFirst quartile, 第一四分位数
1 X, q/ [" R: ]/ S0 J% AFisher information, 费雪信息量. m" J2 i! y1 J2 }% T. n
Fitted value, 拟合值
: a$ @- E a i& G: l/ yFitting a curve, 曲线拟合
% F. A, f+ t% a1 Q! `8 a, P; |Fixed base, 定基
% ^( k) N [' K0 O8 ?Fluctuation, 随机起伏0 o' w& p$ }$ ^/ q) H
Forecast, 预测
- x6 [: x0 H- Q* Z; H( YFour fold table, 四格表( _' z' e8 h; a( n% H# u
Fourth, 四分点
P: K$ f( [9 }& j0 i: k+ W& ~+ O8 T( nFraction blow, 左侧比率! z, k" l+ s* T: Z( c
Fractional error, 相对误差
4 u4 Y% G1 _# G8 o5 LFrequency, 频率) Y* A0 m* r) W2 b3 |3 j" A
Frequency polygon, 频数多边图7 ?: T: M) J- a3 O7 F& v
Frontier point, 界限点
3 l% ^! `! t+ Z' x9 bFunction relationship, 泛函关系
3 I @8 L2 ]0 B% a4 i; z% ]Gamma distribution, 伽玛分布
* N- e( R: j% fGauss increment, 高斯增量
/ k9 f7 W: x6 x" e) R6 HGaussian distribution, 高斯分布/正态分布
7 p; j/ v( `- S* ~Gauss-Newton increment, 高斯-牛顿增量& d: {% ?" P, x* J N* `. z
General census, 全面普查4 {! a* g G1 l7 L, [' I i
GENLOG (Generalized liner models), 广义线性模型
- A. G- [' U% q% HGeometric mean, 几何平均数
1 f3 I. }: c3 y" ]Gini's mean difference, 基尼均差% R7 \/ R* W/ Q5 s/ Z8 w
GLM (General liner models), 一般线性模型
4 p F% a, v' `* pGoodness of fit, 拟和优度/配合度
, ~9 Q& u, k2 w* v, R% Y( o( mGradient of determinant, 行列式的梯度3 q/ ^% b* l/ z0 ^- B7 B3 A
Graeco-Latin square, 希腊拉丁方
! o6 A" w8 S. n7 {& {/ Q- ]Grand mean, 总均值
0 n3 j5 q4 E F X2 N# QGross errors, 重大错误8 O# X" \. p* r7 C( l& i5 h
Gross-error sensitivity, 大错敏感度
% Z" u( W' n# u" C0 a* Z9 D8 SGroup averages, 分组平均/ |' r6 p( g/ X5 S$ i' Y6 a
Grouped data, 分组资料
& {+ Q2 c4 c. T/ A7 w$ QGuessed mean, 假定平均数; p! D5 w+ u" e" J* U6 H
Half-life, 半衰期
# s% |& L! {7 x8 a) c/ e" C' sHampel M-estimators, 汉佩尔M估计量
0 K- v# R8 M. `. S v8 sHappenstance, 偶然事件
3 F+ e& S, w8 v# I$ X, B' eHarmonic mean, 调和均数
- K' o4 s. j @' Z6 fHazard function, 风险均数' t' W5 w; \8 @) a. B! F. Y
Hazard rate, 风险率
# {# |- P& O! G; aHeading, 标目
, ?1 `3 P* b5 i/ Q* m6 T% S5 f. gHeavy-tailed distribution, 重尾分布! W. E: m# z+ Z+ t. x& ^
Hessian array, 海森立体阵$ x0 ]6 \. Y3 @& e
Heterogeneity, 不同质/ d! x1 {; E6 M* O7 |% h
Heterogeneity of variance, 方差不齐 $ u& f9 W# s. T+ L: M' `
Hierarchical classification, 组内分组& n3 j( ?$ B O9 H" A
Hierarchical clustering method, 系统聚类法2 M/ l0 P! x1 |; o/ V
High-leverage point, 高杠杆率点# d0 m4 ]* C7 {* n/ \& |; c# i
HILOGLINEAR, 多维列联表的层次对数线性模型8 Y. ~+ z/ y* b3 _4 r$ s7 v
Hinge, 折叶点* f! Z P& w3 n6 U
Histogram, 直方图/ L$ F7 r/ l. C% ]& s
Historical cohort study, 历史性队列研究 " K) r3 S7 h( k: m* A$ f$ }2 o
Holes, 空洞
/ {* |( B, I9 oHOMALS, 多重响应分析
6 r1 B. D: \ sHomogeneity of variance, 方差齐性9 \) ?% H, F/ `' U) i
Homogeneity test, 齐性检验) ?/ c2 |* V7 o! G0 M9 u
Huber M-estimators, 休伯M估计量; b. i2 i+ B# j5 Z9 }
Hyperbola, 双曲线
- Y5 P# @1 {8 y. D6 b6 }Hypothesis testing, 假设检验
. b% j/ P" A& y; z. b9 H+ x: bHypothetical universe, 假设总体
' c+ L. F: r6 }' S$ f( z) z/ ~5 |Impossible event, 不可能事件
2 V( c6 K. J, V5 vIndependence, 独立性
' _5 Y0 E) ~+ k' A0 h; ?$ LIndependent variable, 自变量
# A( l1 E6 h0 U+ g8 rIndex, 指标/指数
/ M7 V, I: _4 w9 h" DIndirect standardization, 间接标准化法5 ]# P" q8 I' r% v# f$ p
Individual, 个体
5 i/ q' A: Z. m- s' xInference band, 推断带
: l# V# N; I6 I% A4 HInfinite population, 无限总体, H4 }: p: o. _; ~
Infinitely great, 无穷大* w, p6 ~/ f0 b+ ~5 F6 |
Infinitely small, 无穷小+ B- U- z: }. r% @6 i. d
Influence curve, 影响曲线
2 B5 M; n8 T8 r9 MInformation capacity, 信息容量, R1 Y. ^0 ]1 w: G& ]0 a
Initial condition, 初始条件8 a! c2 D [ E1 f0 T4 S& R4 Z
Initial estimate, 初始估计值; }% H1 }5 C) f
Initial level, 最初水平
" Y3 W0 Z% B9 f3 rInteraction, 交互作用: O: S9 B" H. o s- m' ?( r
Interaction terms, 交互作用项8 @ @1 x/ A7 G8 f$ h- ?6 r- B5 a8 D8 o
Intercept, 截距4 n% q4 m0 T: f$ @
Interpolation, 内插法3 A$ P& P7 z$ F/ p9 o; M" N* U- t
Interquartile range, 四分位距$ d; i1 C+ }3 _" H5 w
Interval estimation, 区间估计3 k1 G+ S6 ?- r5 V$ f8 N& T( W. R
Intervals of equal probability, 等概率区间$ A& v5 T" D2 p. v. o9 \1 @
Intrinsic curvature, 固有曲率
- N' N3 q* ~) k- WInvariance, 不变性1 F9 b2 z* b/ f" u( Q' }% T3 u
Inverse matrix, 逆矩阵
/ b$ u+ ?1 V: i; y) _# ZInverse probability, 逆概率8 t. ^3 K8 k; X+ ^; H
Inverse sine transformation, 反正弦变换
; V$ s" J$ P, ?4 N& e) \Iteration, 迭代
3 b2 P5 D/ U6 A( N, ~$ UJacobian determinant, 雅可比行列式
: {; g( e+ O$ P! \6 K* _- v( uJoint distribution function, 分布函数9 u% f( Z% ]! {4 ~. p( {2 b
Joint probability, 联合概率; X8 X! H. Q; v
Joint probability distribution, 联合概率分布+ \4 c/ |% d" D/ H8 b0 f% K$ c
K means method, 逐步聚类法! ?' I! E0 h/ s# U+ F8 n
Kaplan-Meier, 评估事件的时间长度
; J: k7 i6 B- P# O1 mKaplan-Merier chart, Kaplan-Merier图
L1 \! p$ g! F+ S0 L- _+ g1 y! }Kendall's rank correlation, Kendall等级相关1 s4 x9 M7 ~8 J9 W8 f
Kinetic, 动力学/ v( @% h+ W7 R1 A, A3 x
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验; k7 D- [# d5 x$ y, `% y
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验9 ~& U0 {8 N3 w+ [" h% j
Kurtosis, 峰度2 f2 i9 x) q. N* i7 P3 s% {" Z
Lack of fit, 失拟4 M3 A7 m- J# s8 ?" J
Ladder of powers, 幂阶梯
z1 D. m6 I/ w. A$ P. U( iLag, 滞后9 w' W1 t: G0 ^6 \$ _. V; e
Large sample, 大样本* w) R! y% m- k; T5 z: F7 d! \ v
Large sample test, 大样本检验* ~5 t- M' [+ n! \, i" W9 E9 j
Latin square, 拉丁方
' s' I! b* Q5 J% q* a$ |* iLatin square design, 拉丁方设计
# h) r, L) n" U: H ZLeakage, 泄漏
# w# n2 b9 r8 _Least favorable configuration, 最不利构形
4 t9 `, z6 v- z3 @Least favorable distribution, 最不利分布4 G0 o& [ H% z9 N$ N. v# z% g: ~
Least significant difference, 最小显著差法7 f" N8 Y( e* d. p1 e
Least square method, 最小二乘法- N2 G# e- v3 u6 [$ r/ r: j
Least-absolute-residuals estimates, 最小绝对残差估计2 d( w( t5 w9 d* ~) G. k/ J
Least-absolute-residuals fit, 最小绝对残差拟合
9 ^0 s$ s( o5 h' WLeast-absolute-residuals line, 最小绝对残差线
( } k$ n3 P, D1 A/ `$ C' ^6 cLegend, 图例$ q# I$ }0 E f# v1 d3 e0 C+ ?
L-estimator, L估计量( @ x! _. l: u
L-estimator of location, 位置L估计量
$ _3 J1 |2 l, aL-estimator of scale, 尺度L估计量; M3 C7 u$ [0 m5 r$ C% Y
Level, 水平
0 e U2 p7 A$ v8 }Life expectance, 预期期望寿命
" X9 E' d* c S* S: ULife table, 寿命表2 n8 o$ M/ o$ ~/ B/ q% U, f" A0 j
Life table method, 生命表法& c0 X( Y `) W- t% { g+ Y" [3 J
Light-tailed distribution, 轻尾分布6 g4 S5 t- Y3 D) Y
Likelihood function, 似然函数+ {% f6 ~7 T; M8 N+ R) I
Likelihood ratio, 似然比
! I; U$ K0 v% g! s# J: x" Eline graph, 线图% X: }3 ]6 S# c% X( z4 u; X/ d
Linear correlation, 直线相关
$ u( e! W- V/ ~9 jLinear equation, 线性方程
3 o: N* z7 n; b8 Q, mLinear programming, 线性规划. L0 G( M7 Q7 Q+ U$ O
Linear regression, 直线回归
0 u0 M9 }; k$ F! v& ]Linear Regression, 线性回归, ?" h( r* d7 T9 \4 k. O& t; |! O
Linear trend, 线性趋势
. [) }3 N6 `% q4 V5 x. j% zLoading, 载荷 " S9 h: V5 R7 o3 U- p$ v
Location and scale equivariance, 位置尺度同变性5 @) z- Q) [: U
Location equivariance, 位置同变性/ n: O5 N. P! Q% L# l) N9 K) m
Location invariance, 位置不变性
% \' Y, w# u. }& j8 x$ D& ALocation scale family, 位置尺度族
6 |2 {6 I+ U/ ^Log rank test, 时序检验 4 O* w7 z0 [3 j
Logarithmic curve, 对数曲线- I3 {$ l1 E! L4 H3 p0 T6 f5 f
Logarithmic normal distribution, 对数正态分布* Q. s2 v( I$ C Z
Logarithmic scale, 对数尺度
" D' v, K, A) s. `' o2 ?Logarithmic transformation, 对数变换
" h [' w1 _" a# s: Q$ DLogic check, 逻辑检查
4 Y {/ L7 Q" @9 d6 LLogistic distribution, 逻辑斯特分布4 }0 h. l8 Y, l0 i" z' N `
Logit transformation, Logit转换
9 A% ]1 e9 H, ^" PLOGLINEAR, 多维列联表通用模型 4 w+ a9 }4 E& ?
Lognormal distribution, 对数正态分布$ d' y9 e" U s4 C
Lost function, 损失函数
, I4 x) P8 ?+ k: C5 A$ Z0 I. t, k5 _Low correlation, 低度相关
; E' C: |3 T/ W( t) ~, t) cLower limit, 下限2 b- w! U7 Z4 y( g
Lowest-attained variance, 最小可达方差
: S) k3 q4 ?$ fLSD, 最小显著差法的简称( u! S* A" {) C$ D' u2 H
Lurking variable, 潜在变量7 j$ C" s8 {9 J- o, y
Main effect, 主效应/ `9 {' X3 n. r" D) b
Major heading, 主辞标目
$ I& q% U' Q+ P' W6 mMarginal density function, 边缘密度函数
1 L, R/ e( l# I' I; I b( P2 G8 V" NMarginal probability, 边缘概率
g7 A6 N4 u3 z( HMarginal probability distribution, 边缘概率分布
; T: t! W& R' pMatched data, 配对资料3 M% V A) W! C- q% L3 q1 z
Matched distribution, 匹配过分布
% }- n o& ~* _Matching of distribution, 分布的匹配
o# M3 I- w% O F& ?- SMatching of transformation, 变换的匹配
" W w9 r3 K" u# q( e3 _; o5 ZMathematical expectation, 数学期望, ^7 r% ^: X( i% R
Mathematical model, 数学模型" ^1 B! b1 a* Y* L' w7 J
Maximum L-estimator, 极大极小L 估计量* b6 O6 P, Y$ x2 P8 M" u( U' s6 ?
Maximum likelihood method, 最大似然法
J9 \! I. o/ u8 QMean, 均数
4 ^6 z7 X( M) X, E `! Z SMean squares between groups, 组间均方
w" u# x7 K8 D* W5 v* bMean squares within group, 组内均方3 u7 [ [. e5 l C& G- y' Q
Means (Compare means), 均值-均值比较
5 Y. i1 B- ]- |; @Median, 中位数+ X* |" O3 W; m& @0 i4 l) Q% ?1 M
Median effective dose, 半数效量
D) z: ]) f: p2 C6 o; rMedian lethal dose, 半数致死量
. ^' {4 [# {! k, O) W* D: h; F* GMedian polish, 中位数平滑: K- V5 ]' X, O& Z6 l1 k% I5 E& k
Median test, 中位数检验; R! K: I& p3 a3 T# b
Minimal sufficient statistic, 最小充分统计量& O) U' F/ C4 h* E
Minimum distance estimation, 最小距离估计: B6 D& W# ?- o( ~
Minimum effective dose, 最小有效量
# x! U1 w& l& ~# a' U0 @- AMinimum lethal dose, 最小致死量
; Q8 ~) b9 R) f( i0 m9 ` g2 YMinimum variance estimator, 最小方差估计量. I5 B w+ q9 u) |! d" J
MINITAB, 统计软件包3 N7 g+ A: ~2 G2 N* x3 \- ~
Minor heading, 宾词标目
- \) D' F! n9 }2 z3 b9 TMissing data, 缺失值
1 x& }* E* g. ]. qModel specification, 模型的确定! _" @' P+ `& \4 E
Modeling Statistics , 模型统计2 J3 O! o8 N9 `7 f
Models for outliers, 离群值模型9 e# ?6 K1 b- u+ u l4 G. b
Modifying the model, 模型的修正
- u5 K& j6 o8 m1 a4 yModulus of continuity, 连续性模. S; a# j" Q2 m6 V1 p
Morbidity, 发病率
K; k8 z+ r. c3 \+ j' S& {Most favorable configuration, 最有利构形+ }8 H0 U* h. R Z. V& K: n: [
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
+ b, o4 o7 \2 g1 U+ ZMultinomial Logistic Regression , 多项逻辑斯蒂回归+ d' }) _8 ^( w) t. ^9 p
Multiple comparison, 多重比较! k2 X' f+ I& A6 L% E$ n
Multiple correlation , 复相关. L2 b- b" ]4 |+ a! ]/ S
Multiple covariance, 多元协方差0 [# l8 q+ {" v6 ?) |
Multiple linear regression, 多元线性回归7 U0 r1 E8 A/ k1 y7 z
Multiple response , 多重选项9 k' ]: u# U' i( ~! l$ t2 Q7 Q
Multiple solutions, 多解' k2 p1 A! c7 W3 ]4 ?6 P7 P
Multiplication theorem, 乘法定理+ A) C* Z5 H, j2 v# t; R
Multiresponse, 多元响应6 c4 \) \7 V5 e# Y- w( d
Multi-stage sampling, 多阶段抽样9 A: ^* a$ [4 y! t5 {. C
Multivariate T distribution, 多元T分布9 k9 Y! ^/ ^0 a" B
Mutual exclusive, 互不相容
4 c& G: G8 g/ eMutual independence, 互相独立$ V, {& ^( l6 `# R$ E) S6 u
Natural boundary, 自然边界+ |' t. n0 h$ P$ w( G2 Y( L, C, o
Natural dead, 自然死亡# W* R: J5 u1 v# n# W. K' B. y! M( ?
Natural zero, 自然零6 O+ N/ l% s0 x- b6 q% a+ `
Negative correlation, 负相关3 l3 U( \4 f$ b' u
Negative linear correlation, 负线性相关
" b) j8 i l& s( }( g, O2 O: eNegatively skewed, 负偏
0 \4 d1 I( o* \/ r/ ENewman-Keuls method, q检验
& P( y& y6 {2 E! u& f |# mNK method, q检验
* U. t7 f4 ]# R$ Q1 R8 rNo statistical significance, 无统计意义4 u6 e! N) r8 _
Nominal variable, 名义变量; z3 `0 U7 E6 ^1 K8 b. b. W* `
Nonconstancy of variability, 变异的非定常性
* v2 F0 i) L8 \& `+ }6 HNonlinear regression, 非线性相关; K* Q* m# u8 g8 ]' h) O
Nonparametric statistics, 非参数统计8 U/ W, Q; p9 M
Nonparametric test, 非参数检验6 u1 ?" O, @7 U- [5 \$ t0 Y
Nonparametric tests, 非参数检验$ e/ q" _: m7 s# l0 c4 i T6 n
Normal deviate, 正态离差) N( K" x) r9 q
Normal distribution, 正态分布
/ n* ]0 G' Y \+ e7 MNormal equation, 正规方程组$ S/ e6 W% B- ?. w
Normal ranges, 正常范围 G: Q: `# m: q
Normal value, 正常值/ |/ U! i6 t/ I! \/ J
Nuisance parameter, 多余参数/讨厌参数
1 I6 I& T9 x* r2 s" eNull hypothesis, 无效假设
) [: p: P9 g7 M0 q. b$ g% CNumerical variable, 数值变量
/ o' K3 a4 n _$ F. I6 Y8 p5 P8 N7 JObjective function, 目标函数
- W) r. Z& Z. M4 |Observation unit, 观察单位5 B- K2 K2 S) z# A
Observed value, 观察值! H1 s7 o+ n$ E) J9 w# ^
One sided test, 单侧检验2 ^# Z- O1 P8 R# K
One-way analysis of variance, 单因素方差分析9 r6 a% x$ o M* r1 D& u
Oneway ANOVA , 单因素方差分析
" P; U- A6 Q8 h& w4 G2 YOpen sequential trial, 开放型序贯设计9 [1 e. `5 p5 ~& _: y
Optrim, 优切尾7 |' z* _; `. W5 P3 z
Optrim efficiency, 优切尾效率! O$ L& K1 s; g" B/ G, j7 ?0 O+ j; C
Order statistics, 顺序统计量
" k( i5 T _2 Q O( R1 D. lOrdered categories, 有序分类0 R& ~% i- Q8 Z! e( L/ L5 |: I
Ordinal logistic regression , 序数逻辑斯蒂回归8 |# E$ ?; b* R6 V* A) z9 M7 P
Ordinal variable, 有序变量
( _3 [( }$ v A+ S: Q( ?Orthogonal basis, 正交基: k, a- [: v. Q% u/ f+ ^$ a0 P
Orthogonal design, 正交试验设计4 F% }* b, z% @. \7 b! |$ c/ O% S$ c
Orthogonality conditions, 正交条件+ r+ f* z. ~$ \0 _4 s* H" ]# i! j
ORTHOPLAN, 正交设计
7 e5 t; V3 m" Z, G5 b# _Outlier cutoffs, 离群值截断点+ u1 I# g' p5 G) `, B
Outliers, 极端值8 Q* d% q! ]+ O! ?) c
OVERALS , 多组变量的非线性正规相关 " k) V. p' D3 o3 n- g
Overshoot, 迭代过度
& E7 z: ~' d9 S$ Y- [) _. ?Paired design, 配对设计: I- n7 r! p. X5 N' ^7 F: z& r
Paired sample, 配对样本
/ [; X2 @" {' U$ u. }% t2 E4 KPairwise slopes, 成对斜率) b8 R; E2 b) a8 c6 F+ u
Parabola, 抛物线
% ]: s, r$ s" g8 fParallel tests, 平行试验
4 d) K% _" X8 C. XParameter, 参数$ V2 X4 f# c, {! K( `
Parametric statistics, 参数统计: k& e- L. T) U' e& W/ `, b
Parametric test, 参数检验1 o$ |2 t; a, `& a7 p+ J+ A
Partial correlation, 偏相关
% U2 ?4 ~0 |9 N3 ^* A. ^Partial regression, 偏回归
5 X2 r% J! Z% {; E- ]; uPartial sorting, 偏排序
/ b7 \; N; @2 q$ cPartials residuals, 偏残差
1 U; v( |$ p0 F& RPattern, 模式
9 r: t7 O1 o& r# L: O3 I# TPearson curves, 皮尔逊曲线
. g0 J: x+ R; C5 T; ?7 PPeeling, 退层5 G. P& k" {3 V8 K# [% h$ V3 Z
Percent bar graph, 百分条形图
! a0 D$ q, F# n# }6 ?Percentage, 百分比
" t% V7 m9 j' v" s9 v/ _Percentile, 百分位数" s4 m! R: J* B. _- I, G: E
Percentile curves, 百分位曲线- Z5 d+ b; f2 _6 H: h
Periodicity, 周期性
( m7 J- y. n8 W' f1 uPermutation, 排列
# B; n) i9 S% L4 |9 ~: \: E$ d) p8 BP-estimator, P估计量" ?' c: M2 A. z2 Z+ m& U: z
Pie graph, 饼图
# v' Y7 p* Y3 x0 `& k2 T# j6 g* _: gPitman estimator, 皮特曼估计量
# p+ Z9 I. F. X; I+ }! IPivot, 枢轴量
5 k* l& S2 \; L/ lPlanar, 平坦
8 O% Z! [) _. Y+ }$ u7 P# oPlanar assumption, 平面的假设7 o5 e9 l* W+ t. J
PLANCARDS, 生成试验的计划卡
& C8 C# B( H, d+ B6 P( ZPoint estimation, 点估计4 g6 ]" |6 @/ m
Poisson distribution, 泊松分布
* @( p4 Z8 ~. ]6 OPolishing, 平滑1 v q' w) Z/ [2 w8 G
Polled standard deviation, 合并标准差( A7 i& ]' j0 j* R
Polled variance, 合并方差1 }" }" {# h; y0 l! f/ a
Polygon, 多边图6 @/ Z; k. V! f. U9 a3 P
Polynomial, 多项式
0 x7 k+ v1 r& W; y$ oPolynomial curve, 多项式曲线7 u) Q R( l+ ?0 d x2 T
Population, 总体; a$ G8 I! K8 c
Population attributable risk, 人群归因危险度
' i/ z* p- @2 x; ?1 i& Q, uPositive correlation, 正相关 S- z4 @+ N8 | q1 b) Z* k5 `! f- w% h2 r
Positively skewed, 正偏+ z/ u4 w- L6 ^! D- U% j) i
Posterior distribution, 后验分布
% m4 H6 V( C( h6 J! YPower of a test, 检验效能9 m1 ?0 M8 ]2 w- q/ b
Precision, 精密度- g& k0 |/ |" C% A5 y. j
Predicted value, 预测值2 j) h7 R9 M+ O: g G9 \- J
Preliminary analysis, 预备性分析2 _1 Y( @8 d2 k- w) t0 \
Principal component analysis, 主成分分析1 t- m9 c4 d% U' N: ?
Prior distribution, 先验分布$ T, p: D7 L- e
Prior probability, 先验概率
+ H/ U; _ B; o- O: h' {& IProbabilistic model, 概率模型 f+ Q( k9 M5 j" | S2 f
probability, 概率
: o1 e, V, s; _8 A: K6 N( a- P( ~Probability density, 概率密度
% @" h& H; \' M; S; U# vProduct moment, 乘积矩/协方差4 _1 [0 f: s1 Z% x2 M0 b4 y
Profile trace, 截面迹图
+ W. l4 x' `* E& PProportion, 比/构成比) T3 K) m. m. `2 M! u `! O
Proportion allocation in stratified random sampling, 按比例分层随机抽样
- G. C$ h! \3 |: a& D* ZProportionate, 成比例; d. Q$ A6 {. C! m
Proportionate sub-class numbers, 成比例次级组含量+ P: G3 w! g: V7 g* m
Prospective study, 前瞻性调查
8 z9 H: ~7 c+ E$ a1 ~# U; UProximities, 亲近性 # D6 a: M$ Y, X+ t4 ^& s
Pseudo F test, 近似F检验; z+ C4 `# u; x* s1 m+ y- {
Pseudo model, 近似模型9 }4 z5 L) w1 k2 g' P- I
Pseudosigma, 伪标准差! f% W3 W; Y# B9 a' B/ u; g
Purposive sampling, 有目的抽样$ r2 W7 x \1 W I, X5 |+ t
QR decomposition, QR分解9 L. e# L3 ~4 F; E8 w& a* B
Quadratic approximation, 二次近似4 M3 Z3 [/ I o- ^7 D! x
Qualitative classification, 属性分类
2 i" ?2 A5 y/ l7 X+ P3 EQualitative method, 定性方法0 b. Y8 u8 Y7 `) P' L- f$ [
Quantile-quantile plot, 分位数-分位数图/Q-Q图( q% L; |3 z4 V& v/ {4 q
Quantitative analysis, 定量分析, `0 A H6 O! P* W+ e
Quartile, 四分位数
, x) n) l/ ]5 s u0 A+ tQuick Cluster, 快速聚类% I5 ^. n7 \- ]9 N) {8 Q ~
Radix sort, 基数排序3 l/ b' y- u7 y/ M4 b# S; v
Random allocation, 随机化分组
/ u* W9 X2 d7 m" U7 k. ~Random blocks design, 随机区组设计
( x1 `+ ^* v1 G$ T8 b. p5 GRandom event, 随机事件5 `4 P% z/ P: N; d; S; H
Randomization, 随机化
' K" ~4 j) o( NRange, 极差/全距
$ \5 W2 y6 n3 `2 ^; r$ dRank correlation, 等级相关& E1 m* `4 ~5 I* I3 T
Rank sum test, 秩和检验 \# T3 G, w% h2 _+ k f
Rank test, 秩检验* w% u$ D/ l" A K% j
Ranked data, 等级资料
( ?. Y% u. t$ P$ D% w9 m' \3 hRate, 比率
' B' _* ~# d: x+ ^4 y3 GRatio, 比例
2 s4 ^- K4 @- I0 z7 _* sRaw data, 原始资料
7 l# k# X0 ?' d. F( s: j* b- MRaw residual, 原始残差- S+ [( [" v9 |: e2 ] ?) f3 m
Rayleigh's test, 雷氏检验
" J) ]- @4 u) l) p1 u% uRayleigh's Z, 雷氏Z值
% u2 {& @2 N' \9 n1 n0 j+ yReciprocal, 倒数; V+ a) t4 w g3 w4 U7 [
Reciprocal transformation, 倒数变换
a& y+ ~4 Z' l! A/ G$ h6 ORecording, 记录
c6 e* b( s! G, e" ?+ ZRedescending estimators, 回降估计量
" L! Q N3 g7 D# l) HReducing dimensions, 降维
+ Y2 h) ^) G* s+ ^6 s. _! kRe-expression, 重新表达0 X* Y9 U+ O, F* U% A" C( e6 `
Reference set, 标准组6 ]" w0 Y9 e# `4 G0 p3 F! J; x
Region of acceptance, 接受域
* D# O2 m/ V- ^- z5 B$ q1 ERegression coefficient, 回归系数
* p: G$ y2 b8 M9 u: r* lRegression sum of square, 回归平方和% Y, c! @9 H) A F) I
Rejection point, 拒绝点1 K8 x3 o4 ?! H6 \. n$ @/ H: x7 V
Relative dispersion, 相对离散度
: i, b5 l- v0 P6 V! \& VRelative number, 相对数 g) _: y- B; G$ v. Q' B! ~
Reliability, 可靠性( q3 d: G; w8 Z, q2 R3 p1 \- d# B
Reparametrization, 重新设置参数# h- j# o- ]4 j5 _7 u2 v
Replication, 重复3 D V+ y- K9 r( M4 w* G
Report Summaries, 报告摘要
! b& _- D7 }# n! t; f9 f) y$ ^Residual sum of square, 剩余平方和
3 S4 Q1 h: d! s* K6 S3 v3 Q) nResistance, 耐抗性" k8 f, U/ K! a4 D/ T
Resistant line, 耐抗线( a. q$ `; }* j
Resistant technique, 耐抗技术 q. J' M. E: o/ f/ ~
R-estimator of location, 位置R估计量% ~2 J8 U5 ~7 h. V2 s
R-estimator of scale, 尺度R估计量3 x/ o1 b2 I; x2 `
Retrospective study, 回顾性调查4 c0 f3 v3 G; m, c I
Ridge trace, 岭迹
) I" ]; L7 L4 p* F; c, I! yRidit analysis, Ridit分析% p. w$ B# s% g1 l5 Q- f
Rotation, 旋转% N1 e8 W g) B
Rounding, 舍入8 i9 d$ }( L! X" `* a& Y
Row, 行
* p, c/ v6 |" y& FRow effects, 行效应
7 D3 m" m) ^5 p" SRow factor, 行因素
* G2 H+ L( Q! HRXC table, RXC表% c8 r- v) i& f2 d
Sample, 样本8 y7 I8 B9 N; r9 {' H, f
Sample regression coefficient, 样本回归系数" k5 ]. P. D$ x1 R m6 |: _4 o
Sample size, 样本量; n( D- Y& U7 b0 ]: A. V1 i* J
Sample standard deviation, 样本标准差) x) X; Q4 `+ F+ P* d3 q9 v
Sampling error, 抽样误差2 u; S7 D# y0 c# y
SAS(Statistical analysis system ), SAS统计软件包
4 M. F0 e" I" p' `+ }' |9 r, \Scale, 尺度/量表/ n D* a; t4 Z
Scatter diagram, 散点图
2 K9 L0 `0 j/ g- t/ {- g7 @* }Schematic plot, 示意图/简图
2 o9 A3 c+ M& X; b1 f2 ^* L; uScore test, 计分检验' o& D. k9 r! w9 L' g; c- l
Screening, 筛检' I6 X1 ]. S q% m4 k6 Y7 v" q1 i8 W
SEASON, 季节分析 1 p& }$ m8 S* y0 a! L. r
Second derivative, 二阶导数4 t4 q- h4 Y. l' a2 u
Second principal component, 第二主成分
) n. |5 o2 C C( ]SEM (Structural equation modeling), 结构化方程模型 0 n2 t3 C g, @6 E: p
Semi-logarithmic graph, 半对数图
% P/ l2 q3 _$ X. DSemi-logarithmic paper, 半对数格纸' T! j) P/ T4 M% H9 X
Sensitivity curve, 敏感度曲线
% n' G( i$ K V5 m$ aSequential analysis, 贯序分析
! ~ i1 K% |( z" _- T. CSequential data set, 顺序数据集) N) n, U2 Q$ g% N* W% @0 O
Sequential design, 贯序设计; |9 Z, m) ]# o
Sequential method, 贯序法
: h) E+ h3 w6 R! F- N! ASequential test, 贯序检验法1 }, a" P6 R0 A! q2 p. ~
Serial tests, 系列试验
! C* D* w4 \. G0 yShort-cut method, 简捷法 ) v G& S0 q; T6 g7 `' j2 F
Sigmoid curve, S形曲线- M- s" U% Q% j8 p* ?! ?( x" O
Sign function, 正负号函数
" ^/ z1 _- c/ f: oSign test, 符号检验
5 @6 ?' u- J5 T: I! {: |& q4 B0 iSigned rank, 符号秩
4 Q% `* V, x h( P0 x- i- QSignificance test, 显著性检验$ w/ W4 {8 }2 Q2 k* K9 q
Significant figure, 有效数字
/ Z" A7 d3 i; O& V& \Simple cluster sampling, 简单整群抽样$ G. Y" C& E, K
Simple correlation, 简单相关2 ~. ]& G( ? l( Z
Simple random sampling, 简单随机抽样' p- a6 u1 U% W6 Q2 v
Simple regression, 简单回归- X6 Y' V+ N1 _/ O
simple table, 简单表
3 ^: m8 d+ w0 Y# m3 ]Sine estimator, 正弦估计量
% C. Y% k' y* d, F* r1 j2 WSingle-valued estimate, 单值估计
& `9 l1 u- a, ^+ C0 r' t7 tSingular matrix, 奇异矩阵
9 z0 d. [8 m/ U( d) c) g' Y, tSkewed distribution, 偏斜分布
6 A: P+ p6 d+ m3 [Skewness, 偏度
; ?. }2 b/ E. j4 s6 b! Q' eSlash distribution, 斜线分布
7 t& h3 V" V# n. P- A4 }) M: f7 @Slope, 斜率9 n& \9 I+ Y% P6 T! r" D, N
Smirnov test, 斯米尔诺夫检验
7 t, s- a3 | H! LSource of variation, 变异来源; ^# ?7 u3 m: Y+ E. Q5 r" N
Spearman rank correlation, 斯皮尔曼等级相关
/ ~2 p+ ?, J: m `0 QSpecific factor, 特殊因子/ [9 I# I, i$ i
Specific factor variance, 特殊因子方差, Z9 C; X, Z5 h; f8 D* ]
Spectra , 频谱
3 b* b6 ?, \8 @6 M6 qSpherical distribution, 球型正态分布; ]3 f# u- U/ L" o# k5 w1 J' T
Spread, 展布
: @) N) E2 U: Q; V) JSPSS(Statistical package for the social science), SPSS统计软件包- o- c) c3 w" q7 d( i% O
Spurious correlation, 假性相关
0 J. L% o' R3 P) S: R9 l, bSquare root transformation, 平方根变换
+ Z* s5 p& b5 I" hStabilizing variance, 稳定方差
! m+ K2 P# Z+ P0 A, K5 t1 NStandard deviation, 标准差
: I9 x) n) Q; J- C3 D( a2 ^Standard error, 标准误, h N4 X$ _1 _9 w
Standard error of difference, 差别的标准误
% X+ C9 Q1 i7 H" |9 _Standard error of estimate, 标准估计误差
+ C7 N/ g( z% q; fStandard error of rate, 率的标准误
. ]9 l7 O/ y4 h4 MStandard normal distribution, 标准正态分布4 f2 i: d, ^4 M( i. G0 k7 v- l
Standardization, 标准化
* V% s% _: y7 C" \Starting value, 起始值% k& ] ]# v- E3 c* _, i; n4 a
Statistic, 统计量2 N( d' D" W% r
Statistical control, 统计控制( t5 [' j: S: j1 I% g- w
Statistical graph, 统计图8 B" T6 }5 H+ V2 u
Statistical inference, 统计推断# }8 Q1 c6 K1 W! j9 O7 x9 f
Statistical table, 统计表
+ T2 G: k; j( Y1 l2 [Steepest descent, 最速下降法; m$ r& y( } e+ M" e
Stem and leaf display, 茎叶图
2 D; U! G& F' p$ f& f" d" E& |; n7 X, RStep factor, 步长因子( {4 E" d) d9 e* t
Stepwise regression, 逐步回归
9 [: |0 F7 C" g- x% hStorage, 存
1 ^% F1 i; h j [Strata, 层（复数）/ V" Q; W3 `3 l
Stratified sampling, 分层抽样9 F+ ~3 S: ?6 m- |
Stratified sampling, 分层抽样9 c! P; a% N# C# r0 i5 I
Strength, 强度5 _( m* Q+ T% f4 x8 f
Stringency, 严密性
5 K- O* {0 P4 f" t' M# s9 dStructural relationship, 结构关系
3 t4 H) w& J* h; b% e0 h1 G) PStudentized residual, 学生化残差/t化残差5 c/ J7 |; Y" G9 t" K6 o
Sub-class numbers, 次级组含量# P/ C% _5 U5 P& ^$ ]
Subdividing, 分割( J4 c7 y, `: l7 V- b
Sufficient statistic, 充分统计量: K, Q( B3 g" |6 Q
Sum of products, 积和
/ n- `" Y3 C, \& WSum of squares, 离差平方和
7 U, j/ i- ]5 y& v8 z' p; o9 j; {Sum of squares about regression, 回归平方和
* B$ w1 e5 ~1 D/ P' V6 |" n; ^, ~Sum of squares between groups, 组间平方和) ?# q6 y5 c; {
Sum of squares of partial regression, 偏回归平方和
3 P8 L4 ^2 M8 X9 J- k& iSure event, 必然事件
% W* q& V3 a" ]& ?& j& F$ e% o0 u7 `Survey, 调查
; C) e5 t/ N! ~' n) R, g2 VSurvival, 生存分析8 K& X4 u H8 \; X6 ]3 b0 o3 _
Survival rate, 生存率6 O+ ?/ c. A/ m# E/ ~! f
Suspended root gram, 悬吊根图0 [4 D7 M$ Z8 U* _: G+ o
Symmetry, 对称: {/ g3 }: A; [6 M" b; h" X+ o/ }
Systematic error, 系统误差
- k" {% d3 @7 ~* {0 ~Systematic sampling, 系统抽样- i* y' p: |. g( N3 ~$ R p
Tags, 标签; ]1 n& o6 W* f+ |# _8 n
Tail area, 尾部面积
; z9 `( M: O2 x" XTail length, 尾长
7 ~* G) {! z# X0 K1 UTail weight, 尾重
; w0 I9 P$ |, {3 ]. A: P% z5 MTangent line, 切线
/ [3 |0 D x4 h. ^Target distribution, 目标分布
2 l+ j9 s3 I, `+ ]Taylor series, 泰勒级数1 `+ S! o. n7 M
Tendency of dispersion, 离散趋势
# F7 f( S' M7 a9 wTesting of hypotheses, 假设检验
" j! r) t0 m. z2 h. K' yTheoretical frequency, 理论频数" g0 [9 {8 m4 d* Y: e
Time series, 时间序列* N+ ]. s, K" _; x
Tolerance interval, 容忍区间
" q7 a8 h9 U- p" |; f( r2 QTolerance lower limit, 容忍下限7 K6 B$ r1 P4 F! ^
Tolerance upper limit, 容忍上限$ x) ], O9 _% m G$ c
Torsion, 扰率5 l; I7 e3 G0 O- u" K
Total sum of square, 总平方和0 {- o; h2 w: r' M; _- c
Total variation, 总变异
/ g9 z. u6 ?# y; S6 v* gTransformation, 转换
/ m& a; ?) A" O; c0 }) `/ pTreatment, 处理
6 @ o" m( V U& C( z0 O" JTrend, 趋势
8 n; Z: J+ C; H9 z0 GTrend of percentage, 百分比趋势
# i( N+ x0 C$ U7 H* h7 ZTrial, 试验
1 W3 t( I" t3 V0 B- RTrial and error method, 试错法
3 C+ l+ L3 }! sTuning constant, 细调常数
7 M4 ~6 _# s8 X/ V: P3 sTwo sided test, 双向检验
+ {( b; i% @' kTwo-stage least squares, 二阶最小平方
8 ?; m6 R/ Y" q6 c; o' \' n- xTwo-stage sampling, 二阶段抽样7 V1 ~! o5 L2 p6 Z6 {# U% H
Two-tailed test, 双侧检验4 B5 {3 ~9 a g
Two-way analysis of variance, 双因素方差分析
1 C) \9 w" @: t2 ETwo-way table, 双向表: `' `$ `4 ^) V8 I* X- }0 x% Q" q( P7 m
Type I error, 一类错误/α错误% f, q! n1 H; L& X* z/ K! F6 N
Type II error, 二类错误/β错误, h' C% w5 A' O" a# Q1 V, M
UMVU, 方差一致最小无偏估计简称
( X' c. ^3 Q4 D# T- L# t6 vUnbiased estimate, 无偏估计
, u! u( Q1 ^- LUnconstrained nonlinear regression , 无约束非线性回归
# P8 q0 t) Q2 N' B1 i# b+ {7 o1 W7 MUnequal subclass number, 不等次级组含量! @1 d1 j# J( [
Ungrouped data, 不分组资料( ]: s& K: g7 ?) m
Uniform coordinate, 均匀坐标* t8 j9 ^% m& m- f
Uniform distribution, 均匀分布( K. D5 d2 ]% @4 k1 F$ S7 A
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计5 N* H# i/ b5 P ?& z& u
Unit, 单元
' p c% L/ {+ Y/ I7 [Unordered categories, 无序分类" j, k- R" ]% n; Y) H4 e
Upper limit, 上限
$ z: A/ O, \" Z7 j/ ^Upward rank, 升秩7 P7 X1 q% s# _8 d6 m7 `, s* A
Vague concept, 模糊概念
% m# ~, Y$ |* n; n, JValidity, 有效性
3 o6 w4 u8 ?( m( x& c: BVARCOMP (Variance component estimation), 方差元素估计
* t' X6 U v9 t; b6 iVariability, 变异性
; R% M1 U0 g1 h- ~Variable, 变量0 l# p. m0 D6 @6 b
Variance, 方差& E' ^: m& p; y! [$ X6 i
Variation, 变异, F+ u {8 v. f3 ~# {" j
Varimax orthogonal rotation, 方差最大正交旋转
# `6 W* Q V5 w0 r1 GVolume of distribution, 容积
5 I0 z$ h; B0 Y' I6 ^ GW test, W检验
) t$ G9 F$ x1 z% n; P4 IWeibull distribution, 威布尔分布; s1 K4 W5 ~" j; J+ D1 R
Weight, 权数7 n7 s* E N( c; _) a( i3 r. e* J
Weighted Chi-square test, 加权卡方检验/Cochran检验6 G V$ S9 z( u2 y! d; V- H
Weighted linear regression method, 加权直线回归! i3 Y: e) r; r1 D8 X
Weighted mean, 加权平均数
9 k& P9 W* g" D1 L( x2 X* l* v; v3 ^Weighted mean square, 加权平均方差
0 r1 B2 T$ v% z! `0 j @/ D# ~5 @Weighted sum of square, 加权平方和
5 j+ S$ s6 @* c- s3 r3 Q) ZWeighting coefficient, 权重系数
, M0 _3 a5 _' n" e( I |7 X3 M- WWeighting method, 加权法 0 b: |/ q9 j+ ^2 r! U. }5 H2 _) ?3 F
W-estimation, W估计量 A7 b) X3 G( m5 l& D, e; ^
W-estimation of location, 位置W估计量
: Z L7 P' Q6 V M' dWidth, 宽度2 ?8 V. r: ^0 D6 g* B- G! q
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验+ k: W: K5 q4 X( }0 \* L' m" |
Wild point, 野点/狂点
9 U! }0 h5 o" fWild value, 野值/狂值
5 X! `$ N* ^) X U; x+ ZWinsorized mean, 缩尾均值. d5 X. l% o) e j
Withdraw, 失访
; B* \/ _) i( P; k3 c; }2 e& s b& kYouden's index, 尤登指数, K: u- j2 J. J+ P# b( {' } B
Z test, Z检验5 O2 `* t1 F$ W& f' r
Zero correlation, 零相关
9 x, N8 C% d6 T( ^" n% `% @Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
