|
|
Absolute deviation, 绝对离差4 F5 ]& f" t7 ~ a( z% D' m) y
Absolute number, 绝对数3 A% C/ ?4 W! ^* k) u9 L* X
Absolute residuals, 绝对残差. K! o( ~# \" S6 y
Acceleration array, 加速度立体阵% P5 g# \5 k& c5 C
Acceleration in an arbitrary direction, 任意方向上的加速度/ W/ f$ Y' T% M1 } J; X) G
Acceleration normal, 法向加速度9 J8 @. @5 O) q9 y, t+ {
Acceleration space dimension, 加速度空间的维数# `3 R( l: R# D/ _; X) z3 z
Acceleration tangential, 切向加速度
( E6 }. g! i( x, h/ w jAcceleration vector, 加速度向量
4 G1 @2 w7 n `0 c! KAcceptable hypothesis, 可接受假设( c- F! R c# {
Accumulation, 累积
) h! y2 T& u1 R" N" jAccuracy, 准确度
# z/ B5 H' k7 N5 E, r! c0 RActual frequency, 实际频数
" P$ ?- }: u U( U. U0 ?$ AAdaptive estimator, 自适应估计量( G# F z1 S7 `% c1 t
Addition, 相加
" T. Q; R& { `0 R0 A1 R# c" qAddition theorem, 加法定理8 z/ _& m% L* Q! |- P3 J$ W
Additivity, 可加性7 `( B9 w- `! A8 I% _7 y" Z7 J
Adjusted rate, 调整率
) j0 g$ I( e9 f( oAdjusted value, 校正值. K' r( C6 A0 D0 U3 a, u' t: s L
Admissible error, 容许误差
/ W' B1 H/ P m: F& t' UAggregation, 聚集性
- @' K I: \) O, s* B: i, AAlternative hypothesis, 备择假设5 I/ f" T+ [1 j- ]) f0 _
Among groups, 组间# n! S# R* W+ E3 j
Amounts, 总量( g$ P; x p: J5 o- W* b0 E7 K5 e/ |* t
Analysis of correlation, 相关分析
" e1 |" n9 `5 r) H; MAnalysis of covariance, 协方差分析5 h& x1 T$ M/ r4 e
Analysis of regression, 回归分析! N8 Z: h/ n# K+ T# R: M% y) O
Analysis of time series, 时间序列分析
9 c; K1 s7 U) ]2 Q+ Q& M# wAnalysis of variance, 方差分析5 B. ^4 i2 o, X8 D& M/ X
Angular transformation, 角转换# R3 _ k2 S# k
ANOVA （analysis of variance）, 方差分析- j' p2 h) |3 _8 e8 v* x
ANOVA Models, 方差分析模型/ U: S5 H( L" i! {, o9 [. p* M
Arcing, 弧/弧旋% O- B+ }9 }8 k& h% O
Arcsine transformation, 反正弦变换6 S6 m, t9 `! q/ J k$ R2 w% p8 t8 t
Area under the curve, 曲线面积
" Y$ s8 _$ }1 E+ LAREG , 评估从一个时间点到下一个时间点回归相关时的误差
+ C2 u1 w" U8 ?5 g1 k. T3 g! x4 oARIMA, 季节和非季节性单变量模型的极大似然估计 * v4 u; c& l+ I) t
Arithmetic grid paper, 算术格纸
1 Q& W- N- Z, oArithmetic mean, 算术平均数
`4 b$ Q; h6 Y' r" J! `; x' x1 q- oArrhenius relation, 艾恩尼斯关系1 |3 e0 ^9 R4 A, y, y" j$ Y
Assessing fit, 拟合的评估! h) U; g5 A6 d4 x
Associative laws, 结合律
: d8 W; z. H% YAsymmetric distribution, 非对称分布
) Y. j( R5 ^6 v. I$ {Asymptotic bias, 渐近偏倚3 Z* v/ F9 F4 x) o5 L. r: Y
Asymptotic efficiency, 渐近效率
0 A @& k$ K4 U0 ZAsymptotic variance, 渐近方差
, x( O; @5 x/ O! e4 Q6 \9 e% {Attributable risk, 归因危险度0 Z3 I+ ^' H# J% o5 e: N3 \9 k2 F) H
Attribute data, 属性资料
% E% x5 }% s/ c+ lAttribution, 属性6 [+ K$ _- ?5 z) G7 a0 E
Autocorrelation, 自相关
; Z! L+ D" L2 o4 w3 hAutocorrelation of residuals, 残差的自相关$ x5 t/ c; @( _7 x
Average, 平均数. [: s4 M6 p( Y" T7 g, D
Average confidence interval length, 平均置信区间长度& D+ z& f m# q, Y
Average growth rate, 平均增长率/ S- R4 I% V6 L9 c& C
Bar chart, 条形图
. j* ~4 }3 X/ P: QBar graph, 条形图) Q6 {+ n2 Y4 P
Base period, 基期
0 k% E) m+ b6 uBayes' theorem , Bayes定理
* B/ k; g5 W: ?Bell-shaped curve, 钟形曲线6 H' _% i. V& _. f; H# ]8 Q
Bernoulli distribution, 伯努力分布
' h2 o) [% `% X2 x' [Best-trim estimator, 最好切尾估计量0 S! i9 x P* k6 e* H, q! R! N3 K
Bias, 偏性
: b2 q$ u. _2 A0 r* S% T2 Q! G& SBinary logistic regression, 二元逻辑斯蒂回归
& K% M$ C7 C( k# W# NBinomial distribution, 二项分布3 q- n1 R' |# S# {2 v
Bisquare, 双平方
8 u5 L; x8 S$ i* ?! o kBivariate Correlate, 二变量相关# ?8 `( N2 i% p4 N$ K
Bivariate normal distribution, 双变量正态分布2 e) v* _" m! S' K
Bivariate normal population, 双变量正态总体 A' n2 x4 ?) u" d3 C" m$ x
Biweight interval, 双权区间
4 Z: A- w; I" KBiweight M-estimator, 双权M估计量
3 P: V2 b+ U& S& ~/ R' oBlock, 区组/配伍组6 {; I+ V$ g% J% s
BMDP(Biomedical computer programs), BMDP统计软件包
" Z1 l, x' P7 V+ gBoxplots, 箱线图/箱尾图/ Z5 D0 s3 @* {3 F, N' k
Breakdown bound, 崩溃界/崩溃点+ W3 C; k4 Q. w+ N, M
Canonical correlation, 典型相关8 s, r# ]) z+ m$ [3 v9 M& N" Z' J
Caption, 纵标目
" c2 p( J+ t d1 l! r1 HCase-control study, 病例对照研究# f! b3 I- c1 d" v3 R \7 C. I3 @0 E
Categorical variable, 分类变量
$ O" D$ ?, m w0 a# dCatenary, 悬链线
$ w" {/ o+ c0 vCauchy distribution, 柯西分布+ j( Z+ T2 m1 F- F- }& D. j ]; h
Cause-and-effect relationship, 因果关系/ x' D4 M2 K k: Q: u) U
Cell, 单元
, r* w4 W0 i* y' T5 k2 [1 wCensoring, 终检
7 z: j `) m+ y2 C$ U8 I$ ]Center of symmetry, 对称中心+ B# a! a, [$ v+ E p; b
Centering and scaling, 中心化和定标7 R* z# }5 |7 o, R/ ^4 I/ y
Central tendency, 集中趋势5 n5 S- v4 D; r) `
Central value, 中心值
% E' s$ B3 X, k5 I3 {. |. M" RCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
+ F; e$ v+ \3 \; e1 a3 P1 zChance, 机遇
/ ?2 I5 v5 |$ _1 ~' FChance error, 随机误差2 Q: e; C4 q6 n
Chance variable, 随机变量
8 l" L$ A" \6 c8 o1 U9 Z! oCharacteristic equation, 特征方程$ f9 ~. L Y, p. n2 X8 y- s' s5 w
Characteristic root, 特征根- Q3 c6 x1 z7 j
Characteristic vector, 特征向量
* u& T, V0 G2 oChebshev criterion of fit, 拟合的切比雪夫准则
. ^5 ?* G& ~, \2 aChernoff faces, 切尔诺夫脸谱图; p) ~. R2 ] j; t; J. _4 ~
Chi-square test, 卡方检验/χ2检验
6 I2 E- r: D ~ c, a9 Z% g9 kCholeskey decomposition, 乔洛斯基分解
* I$ S8 p# n3 ^$ H9 _2 p1 w0 zCircle chart, 圆图
7 T/ }% {. T; h( L& `" TClass interval, 组距
0 t( K( Y* T) U8 h* h* vClass mid-value, 组中值4 |: j8 K2 ^ }0 f/ R
Class upper limit, 组上限
$ v4 e; n; a9 p, A7 ~$ ?Classified variable, 分类变量! K+ l, Z" [! F8 \: u; ^) f
Cluster analysis, 聚类分析
0 t& ?+ r% |2 |6 Y/ S! QCluster sampling, 整群抽样- V' G* U- G$ k u4 R `; \
Code, 代码5 e$ m) Q' G0 w' m, c0 {% z
Coded data, 编码数据
; f' t* u( p$ D/ _Coding, 编码! k& [! W0 @; G
Coefficient of contingency, 列联系数+ {& K4 M T3 K5 _# J
Coefficient of determination, 决定系数
& t2 _% ^+ E0 e* [Coefficient of multiple correlation, 多重相关系数9 i! a' \ F2 T
Coefficient of partial correlation, 偏相关系数
2 U( V' @" ^# h$ ]Coefficient of production-moment correlation, 积差相关系数
/ L/ I" |& D( F" c5 y' aCoefficient of rank correlation, 等级相关系数
, t3 p' J4 w0 v( pCoefficient of regression, 回归系数1 c- }7 O3 G }! ^" P* _5 Q
Coefficient of skewness, 偏度系数8 C& n. G% F) D1 }- T
Coefficient of variation, 变异系数
- V- k- ~% a; p( z( r7 TCohort study, 队列研究 T' K5 @7 D0 d6 l
Column, 列. m0 y& e6 U6 I: x! r" J& P
Column effect, 列效应
% t1 D( |$ ^( i5 `8 dColumn factor, 列因素
+ r0 H2 ?3 K P' [/ v. F: TCombination pool, 合并% z% y9 ^9 x& U7 I9 J3 l
Combinative table, 组合表6 ?, B; E v7 p: ^! R3 Y4 ~
Common factor, 共性因子6 D R# y# V y/ o
Common regression coefficient, 公共回归系数& u( A8 K7 z/ b0 i7 Y" {$ {
Common value, 共同值
; a3 O* _. S E, WCommon variance, 公共方差
/ l; X& m9 \6 \+ H2 b0 l( wCommon variation, 公共变异
4 T' U/ S5 O) PCommunality variance, 共性方差
; n: O1 G# A- }: [Comparability, 可比性- ^- _; O* \# u& x" B B
Comparison of bathes, 批比较
y; w1 r( Y6 l( @Comparison value, 比较值4 O( N1 U1 K3 e- \2 `. M! ^# ~
Compartment model, 分部模型4 L1 X7 {3 S7 B+ p
Compassion, 伸缩* c$ Y) w' }. i4 d9 S
Complement of an event, 补事件
3 J& i1 {$ I0 Q1 {2 V" t# jComplete association, 完全正相关
4 D3 k7 d2 }, z% C% [Complete dissociation, 完全不相关$ o* c9 _* y F5 ]9 Q0 X8 Q. B
Complete statistics, 完备统计量, o0 C2 e7 U6 @' ^, F& J
Completely randomized design, 完全随机化设计
6 Y: T/ |& B6 R8 J' E) NComposite event, 联合事件) W7 l, E" E' r5 o( }+ G
Composite events, 复合事件5 i# x% J9 c0 x* o9 V
Concavity, 凹性8 u1 Z* { C0 j7 Y9 k2 S
Conditional expectation, 条件期望4 _$ J9 `' L1 {5 J% c
Conditional likelihood, 条件似然# W. b' Z+ d8 i$ Z' Y" k
Conditional probability, 条件概率/ N8 R0 p- s$ C; \# C
Conditionally linear, 依条件线性# T! V9 L3 Z0 R: k+ {# d
Confidence interval, 置信区间
2 V% g8 ^9 q/ i% B1 DConfidence limit, 置信限
* C, y" f" b& b4 f+ i& GConfidence lower limit, 置信下限
2 Y1 ]* Z; z: q, j( P! K hConfidence upper limit, 置信上限
7 }, ^) w- P( `" VConfirmatory Factor Analysis , 验证性因子分析
+ h& y# P" A( Q, |, e) @1 y7 AConfirmatory research, 证实性实验研究
$ k4 M$ v4 }/ i, H1 B5 nConfounding factor, 混杂因素
6 n" H2 T' @3 u7 y) P; y8 N# FConjoint, 联合分析
6 \; n+ _; z; H+ i! J4 WConsistency, 相合性7 j( q5 r* G( z6 C4 W4 o
Consistency check, 一致性检验
) S' W, [8 f. BConsistent asymptotically normal estimate, 相合渐近正态估计
2 q0 V. H3 `/ P+ J; {Consistent estimate, 相合估计
- i2 Z8 C2 x# P( y7 ^) l* Z2 eConstrained nonlinear regression, 受约束非线性回归- _4 ^ a8 v% g. _$ C7 E5 I1 C
Constraint, 约束0 m6 k) Z6 g1 m: p- W4 X' R) @) |
Contaminated distribution, 污染分布
3 X; R% M- X' L/ m u9 yContaminated Gausssian, 污染高斯分布
1 q2 b" ~6 U6 M( c% y- hContaminated normal distribution, 污染正态分布( ~+ u6 o4 o8 C0 @3 [0 \( D* j7 l" F
Contamination, 污染/ [& J2 G) J$ S6 A1 V
Contamination model, 污染模型
, b/ r, C0 w+ j" w, l- LContingency table, 列联表
5 ?4 V7 ]1 b3 j$ wContour, 边界线: r( p) J4 E6 Z( k1 b
Contribution rate, 贡献率 N3 N8 T* Q; d- C- o! U! A
Control, 对照
0 W+ Z7 o0 L" X7 CControlled experiments, 对照实验* X- y8 |! M& W; f4 y
Conventional depth, 常规深度
! K$ @: X# a* s$ I8 U" ~( X# R1 W9 vConvolution, 卷积& |4 ~; L$ l8 [, e
Corrected factor, 校正因子- M" ]9 n+ w' r( ~
Corrected mean, 校正均值4 E" y" z0 J- M! d! ?
Correction coefficient, 校正系数
* u- A! r$ |0 A9 G/ X2 ~$ {Correctness, 正确性. z; N4 l, R# J7 w3 j7 f2 w% u
Correlation coefficient, 相关系数
/ R& ^' R j2 ~$ X# q6 I( oCorrelation index, 相关指数
# M4 M/ p, d# m0 H n& C% A$ yCorrespondence, 对应
- K6 E8 {+ s8 r6 `0 pCounting, 计数/ m9 B4 b9 {! @% t
Counts, 计数/频数# h/ j4 P/ e- A, M/ G$ w
Covariance, 协方差
6 R5 B( l5 v- @: E! c. N wCovariant, 共变 " ?# N: Y; |7 R/ _: c: @' G
Cox Regression, Cox回归. t3 G" [. R9 ~/ G
Criteria for fitting, 拟合准则1 @6 E% G d5 Q0 @
Criteria of least squares, 最小二乘准则
/ P* L1 P1 ?$ l* V! v4 R. v9 G( \& ICritical ratio, 临界比4 M) [' K& b# m V0 C0 @1 P) w
Critical region, 拒绝域& h3 @5 b6 ^1 i
Critical value, 临界值
8 F7 H, i6 p" ?* LCross-over design, 交叉设计9 g, i7 t4 g1 ~+ }8 l% a
Cross-section analysis, 横断面分析
: F( m! r2 v7 h1 t8 Z" h: R6 hCross-section survey, 横断面调查) C: S4 G, G! I' V$ [6 q# y
Crosstabs , 交叉表 + F F- ~; O1 o6 y
Cross-tabulation table, 复合表
0 ]! j Z' @1 A) ]. ` S; U4 Q# ]Cube root, 立方根0 T1 {6 _3 @ @5 R; d5 F
Cumulative distribution function, 分布函数
5 f- d Y8 l+ rCumulative probability, 累计概率
& N$ \0 t& v- G% T( |4 x; KCurvature, 曲率/弯曲$ w# H. l0 O/ K3 E: j
Curvature, 曲率, J1 s& A0 h. U* ~6 d4 R
Curve fit , 曲线拟和 8 C& O0 C0 s; e
Curve fitting, 曲线拟合, u. f5 h6 G' }. `0 l( v
Curvilinear regression, 曲线回归
- O/ @: Q: f3 @, mCurvilinear relation, 曲线关系
7 |$ K% F& X* _- U; {7 l0 pCut-and-try method, 尝试法
, v1 Z+ c. E1 i3 w, l; PCycle, 周期
( k3 `0 i7 R# c$ v3 ~: pCyclist, 周期性
# m) e; o- N3 W6 M* P0 yD test, D检验0 H! A. k, }9 C3 F5 f2 G
Data acquisition, 资料收集
2 }4 l( H% [3 x' `3 KData bank, 数据库
9 c% }9 }1 D6 L1 _+ @& FData capacity, 数据容量6 D, x( i s+ ~) W& C. o4 ]6 q
Data deficiencies, 数据缺乏) d/ r4 l" Z6 t. P# ?
Data handling, 数据处理7 O) d, |( Z+ H& n
Data manipulation, 数据处理) r, Z T1 g. L- S& y W
Data processing, 数据处理( E- t- M: u% @/ I
Data reduction, 数据缩减
( I; F# F# k( \ JData set, 数据集 l& T+ M5 I5 W6 l3 Q- g
Data sources, 数据来源
/ r" q; ?& f$ C: _7 d* L5 wData transformation, 数据变换 a3 B1 L6 f+ u7 z7 B- V2 X, s8 I7 g
Data validity, 数据有效性3 D; O2 R5 z5 C) M
Data-in, 数据输入
, b( ?: Z% Z9 }4 ZData-out, 数据输出
* ^. m3 n4 P p' _( F! R( rDead time, 停滞期2 @8 y$ p/ b) F
Degree of freedom, 自由度6 o1 ^4 ]& @, [" f" r
Degree of precision, 精密度
! I+ t) i: S- BDegree of reliability, 可靠性程度8 x0 ^6 \! x* F5 N d4 b
Degression, 递减) p. ]$ y* ^7 O- D+ z
Density function, 密度函数
0 U; g' Z1 C. b% m5 GDensity of data points, 数据点的密度6 o1 C/ ] P/ N# Z- E
Dependent variable, 应变量/依变量/因变量
7 Y3 [2 u: W. z' V# @Dependent variable, 因变量
7 o: T: W' Y) _3 `Depth, 深度
2 j3 B4 B' N0 s. }Derivative matrix, 导数矩阵& H' Q; H) ?( Z" S; J2 L
Derivative-free methods, 无导数方法
- T$ `! [/ |1 M0 PDesign, 设计
8 U$ r* Q- o0 |5 L9 L3 j3 ~Determinacy, 确定性% x$ k R/ S2 i
Determinant, 行列式
. C& o: S1 b jDeterminant, 决定因素) F. e5 i& N6 K
Deviation, 离差
3 C* X% s' v8 _' t' y4 g% @& ]3 PDeviation from average, 离均差3 r* q- n! ]2 A
Diagnostic plot, 诊断图/ h* P3 k' c& E. J9 z' S
Dichotomous variable, 二分变量
. ~$ z1 i: M5 z0 z, E5 |Differential equation, 微分方程( K! G% M. I/ t; |* ~0 t$ g2 Y* H1 J
Direct standardization, 直接标准化法
$ _1 p* @# p8 \1 a5 Q( C) yDiscrete variable, 离散型变量
+ [2 N2 w' u2 C2 \2 y! I& pDISCRIMINANT, 判断
# t! |$ e1 c& f& CDiscriminant analysis, 判别分析
+ A- M4 c+ C" M$ kDiscriminant coefficient, 判别系数8 w$ X# I8 A7 w1 P8 ]9 ~3 Q
Discriminant function, 判别值2 c8 S! g+ j3 o# J9 q
Dispersion, 散布/分散度
9 D8 o' ~% J4 j5 N% Y$ y& vDisproportional, 不成比例的
6 m& W' N! `) U3 r4 xDisproportionate sub-class numbers, 不成比例次级组含量" T; M" H7 e4 X
Distribution free, 分布无关性/免分布8 v3 h% q& l; r5 M/ e
Distribution shape, 分布形状
, D1 X" @7 l, u7 S' s9 _! y$ \; {Distribution-free method, 任意分布法- o8 D0 G* i. O5 [+ f* E
Distributive laws, 分配律9 e) B& X. _' e3 M; {3 ^ K- w
Disturbance, 随机扰动项
8 P* i8 I- e$ _$ e- _9 r6 N+ m3 F! dDose response curve, 剂量反应曲线
, u1 ^; j7 y1 n6 ZDouble blind method, 双盲法
( l# T8 u; d2 V7 Y nDouble blind trial, 双盲试验
6 o+ y/ h9 i0 }# b& lDouble exponential distribution, 双指数分布
1 \0 S( G1 y( C) U- k& nDouble logarithmic, 双对数1 Q- i; l7 Y% P/ [% P
Downward rank, 降秩
8 H0 P$ I+ ^5 qDual-space plot, 对偶空间图
- G+ N& Z9 I* x2 C! {# I: q* y( }2 vDUD, 无导数方法
# U: \* h( Y. Y- v$ n u, G0 oDuncan's new multiple range method, 新复极差法/Duncan新法- P& v" Z: S" c+ }
Effect, 实验效应
" O% q1 y7 z+ }' E' }; M$ bEigenvalue, 特征值0 S! E+ y: z% v1 K# N+ C2 Y- u; ~2 S
Eigenvector, 特征向量
0 ?8 l9 f* i1 H8 J$ g1 }! }Ellipse, 椭圆
% e- O% |' N' I6 e( c$ G+ TEmpirical distribution, 经验分布6 k0 F" `# w. L. p5 U a4 z
Empirical probability, 经验概率单位0 j* |( S; s. `: i
Enumeration data, 计数资料
) {. T; `9 O2 C/ @Equal sun-class number, 相等次级组含量
% `( z, F) `- d5 K. K5 F/ W0 ~Equally likely, 等可能 d4 p8 y# i* ?- ?6 `- j
Equivariance, 同变性
! I8 h# G% U+ K& s6 v& KError, 误差/错误
# G, d$ ^5 I- A- n9 N$ _0 d% H F5 WError of estimate, 估计误差
' _+ F: L: Y' \8 tError type I, 第一类错误
' l' T. b0 h1 k6 n$ ]" iError type II, 第二类错误
5 ]2 a' v2 e( E1 E8 p1 lEstimand, 被估量4 T2 [$ e( \; F. |* l& ?! z0 H! R
Estimated error mean squares, 估计误差均方9 S$ {. N" \! k& W7 m
Estimated error sum of squares, 估计误差平方和0 V# T+ d# A+ x! U# [1 O9 d3 B) L
Euclidean distance, 欧式距离
. B) ]( b# f2 ~# b' q5 dEvent, 事件/ f% D. p% F# Q7 j( p2 [1 Y' ?
Event, 事件% s% ~2 P3 G; x3 {; w8 D
Exceptional data point, 异常数据点
; }* s: U- R- k* c; M# RExpectation plane, 期望平面
, N. I% D+ k/ Y% W5 LExpectation surface, 期望曲面8 z3 ?% R; p) K8 ^4 |! [
Expected values, 期望值
8 `. H9 Y% F9 ]0 j/ Q" A4 M7 V/ ZExperiment, 实验
( Z& M: \2 o" o K$ I3 ^4 f4 X" J0 bExperimental sampling, 试验抽样/ V+ h: G! V. C: D3 r; \: v4 E) ~* `
Experimental unit, 试验单位
9 U9 j& x g$ wExplanatory variable, 说明变量
! ?6 t; W W6 h" M/ a7 BExploratory data analysis, 探索性数据分析
$ R$ P: G" l# x& F6 ]Explore Summarize, 探索-摘要( x/ H5 M+ d8 \4 U; o
Exponential curve, 指数曲线
# j; f) G4 Y8 ]- {5 JExponential growth, 指数式增长
1 Y$ V! I4 [/ ]- C. o, SEXSMOOTH, 指数平滑方法 3 u2 h: ~- D1 L9 P3 X* ^' ^0 O+ ~
Extended fit, 扩充拟合
0 T D4 g3 |* _8 UExtra parameter, 附加参数$ l$ i: h- m- u/ B! i% q% P
Extrapolation, 外推法7 j/ v% w9 `9 m! I- E9 d
Extreme observation, 末端观测值
1 |( h* ]/ q2 B+ [8 v' uExtremes, 极端值/极值
: i8 _' p) ?3 A$ OF distribution, F分布
9 Y4 _" Y8 i1 T6 NF test, F检验
6 [" e/ L; }, \, R+ ~* M9 S- oFactor, 因素/因子, y7 W6 v. ^, \. t6 f
Factor analysis, 因子分析" }0 V$ j$ _: y, B) ^1 I& U
Factor Analysis, 因子分析5 M3 u! G$ ~% f
Factor score, 因子得分 6 ^! E* P' B8 N5 a
Factorial, 阶乘( x; k- v9 p0 o' @3 y. x% i$ {
Factorial design, 析因试验设计# u3 J" h* k2 T
False negative, 假阴性; _5 l: N4 A" h" R
False negative error, 假阴性错误
+ C" {0 r3 w# l" P+ V- Y1 _Family of distributions, 分布族
* R! g3 J- z3 n# \/ N8 h4 uFamily of estimators, 估计量族" S) p$ K+ ~3 t( e( @! k. E) i( C
Fanning, 扇面
9 H, K+ E5 ~; Y" C# N( l% b7 CFatality rate, 病死率
3 g- i2 e5 z1 I. y5 ], EField investigation, 现场调查
5 H, c, G0 M N+ a! OField survey, 现场调查
9 ` I8 r7 J) @ cFinite population, 有限总体
$ C. C6 W( T/ L4 U9 R9 P+ t5 K' u' nFinite-sample, 有限样本
1 j6 X6 } C& r" e, qFirst derivative, 一阶导数& b8 p# l# v1 L6 A4 |9 N
First principal component, 第一主成分4 D% d* x: ?$ J/ F- ^
First quartile, 第一四分位数9 L! R# o( g9 E& J7 \4 N
Fisher information, 费雪信息量- y5 u, y) n! u! m; \4 i
Fitted value, 拟合值9 ~/ T# |6 k+ ^4 _
Fitting a curve, 曲线拟合% ]2 n3 ]% B! @& j' W' F! g
Fixed base, 定基
) w/ e) N! i a: f6 t; \) ]Fluctuation, 随机起伏
. _% n* F" L" o' QForecast, 预测
# K/ @: [7 |& F4 K* JFour fold table, 四格表
1 F0 y- i" q# L7 O: s8 R* LFourth, 四分点8 |; k; V7 P1 K$ D& L
Fraction blow, 左侧比率: G$ g3 T: H6 l p% D9 G3 c6 p
Fractional error, 相对误差
2 t2 d& Y! @4 }4 _! _Frequency, 频率1 L& K- v1 W8 ^" b
Frequency polygon, 频数多边图
. X9 G: w `9 c F; _: n0 M tFrontier point, 界限点
* K; K6 w ^3 v3 `$ `! K& h( x4 MFunction relationship, 泛函关系$ y% E# D8 [2 h" t% A; c% P* _* g
Gamma distribution, 伽玛分布: H( F) `4 T# D) }# ^, z4 L
Gauss increment, 高斯增量
. k* C3 S3 K6 g( N: }Gaussian distribution, 高斯分布/正态分布
0 W* P! K# W8 ZGauss-Newton increment, 高斯-牛顿增量2 c( t8 F) e" h; K
General census, 全面普查
M, Q' K8 ~. i$ s8 h! EGENLOG (Generalized liner models), 广义线性模型 b0 q( s. d5 f- k. {5 A
Geometric mean, 几何平均数
; \# u1 ^ N' i% g5 dGini's mean difference, 基尼均差0 J0 Z, l2 p6 ^/ [" h# C3 N
GLM (General liner models), 一般线性模型 + \+ c2 j& u- O1 |! z
Goodness of fit, 拟和优度/配合度
4 X1 @- Z. ^5 ~ x/ Z) j4 s) CGradient of determinant, 行列式的梯度8 Y$ u1 b, v0 G* t9 d
Graeco-Latin square, 希腊拉丁方" |5 ]4 u8 R" D9 Q @: T( Q
Grand mean, 总均值
, }+ [& `( q) k, K+ K/ v. _( KGross errors, 重大错误 h. ~; L" q, ~
Gross-error sensitivity, 大错敏感度
/ d$ j, Z, A) nGroup averages, 分组平均) |9 @: y( V$ f# r
Grouped data, 分组资料$ K1 | u/ b1 g" n- z
Guessed mean, 假定平均数
" e8 n/ M/ B/ w/ s6 c) Z! q0 EHalf-life, 半衰期
- n& y; T+ k+ O/ H2 jHampel M-estimators, 汉佩尔M估计量% K. n2 w* k. n" `
Happenstance, 偶然事件% `' H4 E3 u! a( T+ ?* @: R
Harmonic mean, 调和均数
4 _. _/ _+ O5 f! w# j' p! jHazard function, 风险均数& h# A3 i' {' E
Hazard rate, 风险率7 N) T1 u. u7 K0 h5 B
Heading, 标目 % y ]1 H ~. n1 C$ k" C& q4 F
Heavy-tailed distribution, 重尾分布 S; ]7 ]( `& ]8 |0 f3 L% Z
Hessian array, 海森立体阵
4 H1 X* Q" q! T, uHeterogeneity, 不同质! ? t G. N1 l5 y
Heterogeneity of variance, 方差不齐
/ U; r, \4 T: [. X, sHierarchical classification, 组内分组 W! X# I1 `7 |$ _, l5 v" Z4 u/ ]
Hierarchical clustering method, 系统聚类法
7 l3 a8 ^) C8 V# Z" F$ ~High-leverage point, 高杠杆率点3 v. M, F- g4 M
HILOGLINEAR, 多维列联表的层次对数线性模型
6 O6 J! h; I. N' ]3 _* IHinge, 折叶点
0 n n8 s! L6 o' W! jHistogram, 直方图8 Q, v1 J j, m2 ?+ K& Q
Historical cohort study, 历史性队列研究 8 ?; r6 d3 j( E1 |
Holes, 空洞
* m- C1 r. c7 ~4 P) e6 J+ RHOMALS, 多重响应分析
6 ] ~( @3 U/ Z+ YHomogeneity of variance, 方差齐性
* V, L9 F5 b8 f/ S& q3 s$ B! vHomogeneity test, 齐性检验
9 c) d" T+ Y: w3 [1 RHuber M-estimators, 休伯M估计量: ?9 y& P* Z$ h. h( H& s4 ]+ q3 _
Hyperbola, 双曲线
" `- T2 X$ N* HHypothesis testing, 假设检验2 Q$ n+ Y% E$ C+ v
Hypothetical universe, 假设总体
3 D$ O1 ]+ d* p- TImpossible event, 不可能事件( C" E* P5 N3 v) J. _9 ^9 {5 d. L
Independence, 独立性
2 p; F4 |0 o' M8 j. X1 Z; ?8 vIndependent variable, 自变量( g$ P: d+ s( p, p( p" g# X6 u
Index, 指标/指数
$ E9 n2 g8 o3 y- o9 I" vIndirect standardization, 间接标准化法# R3 w6 O7 q: R
Individual, 个体' w/ u+ L" j/ {) ~0 J
Inference band, 推断带. ]8 ^( ~2 _, c7 f
Infinite population, 无限总体& e8 I2 d3 j4 X0 d
Infinitely great, 无穷大
" N. `5 L$ P8 ^6 ]# UInfinitely small, 无穷小- f9 E. E' g+ }- f5 m c
Influence curve, 影响曲线
8 P% R `7 \7 v2 W% G, ZInformation capacity, 信息容量
% H- u* S& P/ [" ^' ~1 l5 }5 C+ nInitial condition, 初始条件
/ @5 z G; Q9 t) N3 ^% J0 C' d6 IInitial estimate, 初始估计值9 N! U p/ q# c% G8 |& |
Initial level, 最初水平( b+ y1 M' ~ }0 Q
Interaction, 交互作用# @( u& h4 U) h0 q u7 e, Y% i
Interaction terms, 交互作用项
! L# H8 k$ b( d9 t- Y& b$ H1 IIntercept, 截距. l! { _/ ]7 x+ b3 m% W2 u
Interpolation, 内插法
/ V% H% Y) W% W1 wInterquartile range, 四分位距6 L1 x1 c0 G5 X; {! M- i/ j& y
Interval estimation, 区间估计3 {: s5 J* F. _0 N! ^
Intervals of equal probability, 等概率区间
; ?$ I$ z' T% z/ _ r2 p3 e+ AIntrinsic curvature, 固有曲率% q6 U: k7 [3 e! R) g' ?
Invariance, 不变性
* K7 R9 G3 |# Y5 QInverse matrix, 逆矩阵
( ?& K' D, H9 ^- U: AInverse probability, 逆概率
6 C2 d/ _+ a2 [) MInverse sine transformation, 反正弦变换: L: }& P; J3 X8 }2 ]; q
Iteration, 迭代
9 s1 Q( w1 ]" z7 k$ IJacobian determinant, 雅可比行列式0 m" r4 \; t5 M% w
Joint distribution function, 分布函数
3 r$ L" `3 K' gJoint probability, 联合概率
# R' n1 w- ^. a, _2 Z2 lJoint probability distribution, 联合概率分布
; |% U$ c K/ p( M% s/ i- OK means method, 逐步聚类法
I4 I: O2 l9 R6 g% C% B/ WKaplan-Meier, 评估事件的时间长度 2 j9 q! }0 R3 r- s5 r3 u" k
Kaplan-Merier chart, Kaplan-Merier图* R% a) I- g3 n, O* |, U
Kendall's rank correlation, Kendall等级相关6 x4 v. n- o( L& x5 w$ D$ e3 D
Kinetic, 动力学
" p6 J8 t& y6 P# [( p+ l: fKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
) x# d6 s; y$ T$ W0 jKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
( z. `, [) c" e. AKurtosis, 峰度; m# C' G3 q+ k( K' @" F) x
Lack of fit, 失拟
- m0 Z2 d8 s" h5 `Ladder of powers, 幂阶梯4 G( h2 a* _( J8 m
Lag, 滞后
: `2 y/ S3 ?8 Y! W% _) bLarge sample, 大样本/ ^0 H E1 X. h: x* {6 a
Large sample test, 大样本检验: E& T$ `0 ?2 c
Latin square, 拉丁方
4 B+ C8 r5 X$ F1 o, j Y2 p4 a$ \. H6 [Latin square design, 拉丁方设计5 W% |1 b* y5 ~% ?, U- s$ I; S
Leakage, 泄漏
, d5 w) v- z7 W. q1 d$ XLeast favorable configuration, 最不利构形% f3 P4 X! i/ |2 ^4 \9 Y
Least favorable distribution, 最不利分布) i. o2 T* @+ g* S B& {
Least significant difference, 最小显著差法
$ _: g6 m2 H4 d- u3 i0 d) d9 ~Least square method, 最小二乘法' }& h4 \5 _& v' |
Least-absolute-residuals estimates, 最小绝对残差估计2 E) Y4 Q( r0 M: d W0 }9 n# R W
Least-absolute-residuals fit, 最小绝对残差拟合
( {5 p7 `/ s. }3 DLeast-absolute-residuals line, 最小绝对残差线
2 Y. N; i' K0 R3 {8 W. mLegend, 图例, {% ~% X2 b- R0 p$ q; y
L-estimator, L估计量% ]7 X/ G- i0 n. o3 l0 O8 c4 b
L-estimator of location, 位置L估计量7 F1 U' Q7 O' A; I+ l: r$ `" l
L-estimator of scale, 尺度L估计量
2 {* g+ D1 Z: h9 @1 gLevel, 水平
9 W. E* v% e. l! A! xLife expectance, 预期期望寿命; U5 E9 B9 j/ C# m
Life table, 寿命表3 Y/ I+ o- k* F. t6 r$ P7 H
Life table method, 生命表法
9 ?# H+ e8 _) c8 B6 p2 b+ MLight-tailed distribution, 轻尾分布
2 `6 a$ `8 A' W0 ~Likelihood function, 似然函数
/ o% {0 J; j, q9 g. Z4 o4 l: h. b6 bLikelihood ratio, 似然比
T1 W; w: f. pline graph, 线图
# |! x# M- L( y) c& Z. ?: {Linear correlation, 直线相关
6 u7 ~' E! @! J6 o/ h# e8 g7 RLinear equation, 线性方程6 T; a) t; c& l* d5 j3 c, k
Linear programming, 线性规划! \% @% U1 a3 O5 Y
Linear regression, 直线回归' b, N0 d5 w8 O# b# P" i
Linear Regression, 线性回归
3 B9 @- p5 z- E/ T4 p CLinear trend, 线性趋势
# F0 u6 e% S- ?* y# o/ ]# S& wLoading, 载荷
4 @7 A8 d1 W5 ]- [' g% yLocation and scale equivariance, 位置尺度同变性- v& |+ Q5 C# X3 }3 N
Location equivariance, 位置同变性- _8 I7 p: q0 F* S
Location invariance, 位置不变性
; G/ e9 e6 w) Y$ rLocation scale family, 位置尺度族
$ F4 H9 ~* d) ?! _5 |% }Log rank test, 时序检验 . ]& [5 ]% I1 Q# j
Logarithmic curve, 对数曲线; r# d9 d0 w% B3 ^, o5 O2 Y8 K- n
Logarithmic normal distribution, 对数正态分布7 C# J3 h9 _4 C
Logarithmic scale, 对数尺度( W, p2 W5 B: u8 }, h
Logarithmic transformation, 对数变换 Y% B/ |7 b' {4 W- k# d
Logic check, 逻辑检查
- e+ o" c q7 E( p g0 QLogistic distribution, 逻辑斯特分布. N7 ~* f9 Y0 o2 g9 D
Logit transformation, Logit转换3 L" ?5 ^0 \, ^& [7 k: I8 {0 X
LOGLINEAR, 多维列联表通用模型
+ G: j! _7 i, bLognormal distribution, 对数正态分布+ H. i' v; N( G6 d
Lost function, 损失函数
! _, b- N. }% S c$ g( ]* XLow correlation, 低度相关
4 X4 C" K* g( }Lower limit, 下限
# D8 v' c9 B" @9 DLowest-attained variance, 最小可达方差1 I3 |. `- ` ]4 i# S; j+ \0 X% s( U
LSD, 最小显著差法的简称' m4 o: S o1 _! U' p
Lurking variable, 潜在变量
/ J; Q: h% k% w9 o6 }8 Q3 S1 V& T: NMain effect, 主效应1 v$ h. M( e5 u' E
Major heading, 主辞标目
& {7 N0 ]* G4 R- l7 o/ vMarginal density function, 边缘密度函数
& f' C% n4 h1 h2 { b' [Marginal probability, 边缘概率# f( |7 d. b2 X- t. r6 E
Marginal probability distribution, 边缘概率分布
% o3 M4 J6 |' q3 K/ rMatched data, 配对资料/ T% f" @8 E1 M: q
Matched distribution, 匹配过分布
6 o3 _3 `) f9 y( XMatching of distribution, 分布的匹配
* Y2 _, k/ u2 S! pMatching of transformation, 变换的匹配
4 ~$ W$ H5 K# i! P1 Y) fMathematical expectation, 数学期望( k& E; {3 ` t0 Z. [$ y: @/ \
Mathematical model, 数学模型, l7 @6 c [. _3 P0 t
Maximum L-estimator, 极大极小L 估计量- @. L4 b! Z0 I1 L
Maximum likelihood method, 最大似然法
2 `8 R, G4 c" t. uMean, 均数
f9 w2 t) P: B% f& ~9 ^ LMean squares between groups, 组间均方
+ D, C ?5 O* I6 I# rMean squares within group, 组内均方
: R0 D+ _$ j% i0 ~3 _+ L/ SMeans (Compare means), 均值-均值比较
% h6 d8 N Y2 r7 ]1 m, h& K9 S, _ \Median, 中位数
& ?( Z j, n- o8 K" D4 d$ VMedian effective dose, 半数效量0 H0 F6 n/ J% Q
Median lethal dose, 半数致死量+ c. A/ C" M% }) G: w& o
Median polish, 中位数平滑3 S/ N) Z5 N, V8 h" O# \
Median test, 中位数检验
3 k3 G3 o1 j* q7 HMinimal sufficient statistic, 最小充分统计量+ e4 {# H4 c- b j% j, j
Minimum distance estimation, 最小距离估计9 o7 a- h8 k6 _3 ]# W* h
Minimum effective dose, 最小有效量/ g8 |! D0 U; x1 g( N0 V1 ^
Minimum lethal dose, 最小致死量/ G8 i- e7 n: Z! h, A
Minimum variance estimator, 最小方差估计量
! [8 h8 t* [. N2 UMINITAB, 统计软件包
4 v/ u$ G4 }' o* P/ I3 }, YMinor heading, 宾词标目
S/ P7 {+ s/ K3 i) [0 HMissing data, 缺失值
. z# M0 m0 J! FModel specification, 模型的确定
& b* ~1 T3 G8 z2 M$ l& DModeling Statistics , 模型统计
0 A/ u$ n+ }* gModels for outliers, 离群值模型* V' L: d: d. m! _3 {
Modifying the model, 模型的修正
8 G! u8 E8 @+ p% aModulus of continuity, 连续性模0 [2 A3 T6 M& M2 g5 P9 ~
Morbidity, 发病率
4 s e4 Y) u) W+ m6 }9 wMost favorable configuration, 最有利构形
- Y- l' j# R6 g. [Multidimensional Scaling (ASCAL), 多维尺度/多维标度
( d& [: u5 W* o6 F, z+ [3 JMultinomial Logistic Regression , 多项逻辑斯蒂回归3 s- e5 K2 V2 G
Multiple comparison, 多重比较: Z* m3 \1 J& p- C7 M
Multiple correlation , 复相关
; B* \% C8 G3 Y/ X8 L6 j- fMultiple covariance, 多元协方差
) A* T: D6 r( v+ ], oMultiple linear regression, 多元线性回归/ f, ~/ M$ h$ K, o3 i- M9 G0 J' z
Multiple response , 多重选项
+ e) F" `4 l4 K4 m/ e6 N2 ~# BMultiple solutions, 多解* B# ?( w% p& _3 j6 H
Multiplication theorem, 乘法定理
0 [' L* j" Z: w' F# v7 W& yMultiresponse, 多元响应- R \ k( D) N9 X
Multi-stage sampling, 多阶段抽样
: R2 N6 n# d2 s6 O, }/ D; lMultivariate T distribution, 多元T分布
: e r4 e* E J5 p0 F' _8 O7 FMutual exclusive, 互不相容
% [$ c1 ]+ r* }6 L1 B0 C1 X" rMutual independence, 互相独立4 z n, V& J2 b+ ^% U" M! @
Natural boundary, 自然边界
7 N: z' a" \7 j( L' N+ J c$ LNatural dead, 自然死亡
; x) C3 v, ~' CNatural zero, 自然零
3 D% V. u6 V' {! ^8 l0 d) mNegative correlation, 负相关0 n+ q3 u8 q. n7 ]$ B. U7 d2 v5 G m6 h
Negative linear correlation, 负线性相关- u, s- S% u/ u r) U3 v
Negatively skewed, 负偏! g: e' I% q c6 I1 X3 Y
Newman-Keuls method, q检验! g: K+ G3 w7 D. b; K5 ?( S
NK method, q检验) T) g# Y& D. |1 [" z0 N
No statistical significance, 无统计意义3 I r# O, G4 h; R; H9 s1 r( ?8 y0 ~
Nominal variable, 名义变量& O# @' `, G I; l
Nonconstancy of variability, 变异的非定常性5 q( Q' E, J `% a% _ X
Nonlinear regression, 非线性相关; T+ u9 H5 p2 O5 x2 b$ o) T
Nonparametric statistics, 非参数统计& i4 B: i3 b8 Y) k0 z
Nonparametric test, 非参数检验; ^9 t6 L& ~, F, B
Nonparametric tests, 非参数检验
7 D7 N: j1 f {! O5 q& W# WNormal deviate, 正态离差
- [- p% D3 }, U5 G3 ?Normal distribution, 正态分布: c- M t! n, F; ~! K) ?
Normal equation, 正规方程组
9 R! ^5 D- b2 S9 hNormal ranges, 正常范围" d) H6 o' W3 [3 a- F& j
Normal value, 正常值+ x& S" Q9 B2 R) S! |$ b% c$ `
Nuisance parameter, 多余参数/讨厌参数# j, l6 k8 a! W! n9 J
Null hypothesis, 无效假设
& `# I% |6 w. R. A4 j" a4 DNumerical variable, 数值变量$ `& [: s' V3 _4 ^: m
Objective function, 目标函数- J0 d; K$ G, ] H- _* K' J
Observation unit, 观察单位0 }* ~' D$ `- u: J( E& o/ J: P
Observed value, 观察值
( v9 M, w2 H9 K5 [One sided test, 单侧检验
* ~( @) p( J* D8 T6 c; ~8 o/ COne-way analysis of variance, 单因素方差分析
" A, [# k% D4 s2 Z3 k& H1 pOneway ANOVA , 单因素方差分析
1 T% e- l- [' NOpen sequential trial, 开放型序贯设计) f+ `* ], n$ ^/ d
Optrim, 优切尾
* i6 a: u$ V* w) z8 OOptrim efficiency, 优切尾效率
8 Z8 H$ @# n6 X5 R! sOrder statistics, 顺序统计量
8 l# n* r3 z. O: POrdered categories, 有序分类
) O9 q3 s( P0 Z! t2 @* \/ dOrdinal logistic regression , 序数逻辑斯蒂回归, m$ Q! Z% V6 y6 O* |
Ordinal variable, 有序变量; W/ r: }2 I1 T. X
Orthogonal basis, 正交基; `3 i- r% Y5 G
Orthogonal design, 正交试验设计
# w9 e9 M" t5 T0 q+ xOrthogonality conditions, 正交条件% S4 m: I6 p# ?6 G7 w7 i/ {5 t
ORTHOPLAN, 正交设计
6 l& P& j# k1 P ?: G( Q, `Outlier cutoffs, 离群值截断点1 k/ l, y+ V0 K8 S: \
Outliers, 极端值
! F3 g$ `5 B& nOVERALS , 多组变量的非线性正规相关 4 x3 w$ P: U; ?- a
Overshoot, 迭代过度1 i3 l4 D; O# R% L6 [/ u: Q5 s
Paired design, 配对设计4 h$ U8 k( y; N
Paired sample, 配对样本 y @% |! }2 ]8 a5 K3 X
Pairwise slopes, 成对斜率9 W" c: K! P8 @4 e
Parabola, 抛物线
+ q( j2 M2 C" F8 V# Y8 SParallel tests, 平行试验
7 d: K! c k) t( ^Parameter, 参数4 h! h7 |) V/ E# M* `; T7 V; ?
Parametric statistics, 参数统计
; \. Z$ _6 A# T( p8 ZParametric test, 参数检验
% u9 H4 C7 D/ p+ @1 y% h6 c0 ~$ TPartial correlation, 偏相关) z9 I7 f. M3 {
Partial regression, 偏回归0 ]) R/ U" u! V
Partial sorting, 偏排序
0 W) k! z3 P9 l: APartials residuals, 偏残差8 r/ N5 i- ^6 ^# f) L' X
Pattern, 模式
, F7 B% k( i y- a4 rPearson curves, 皮尔逊曲线9 g. Y+ e4 {! p% O1 E( w
Peeling, 退层/ w+ J1 m* F" m* F7 ^% U% k* e6 u
Percent bar graph, 百分条形图
, T" i! [6 f# C7 G# G- M" Q' tPercentage, 百分比+ Q$ M; f+ S: T1 a6 `$ N' f `
Percentile, 百分位数 i, ?; I$ V! c' C3 T( Y* H2 c ~
Percentile curves, 百分位曲线/ U' \7 e7 }( w+ e( e5 c
Periodicity, 周期性& F- }. v% m! O6 e
Permutation, 排列
+ B8 }2 M+ A% z6 N$ D- v, XP-estimator, P估计量* s$ g z2 w7 _
Pie graph, 饼图 w5 p+ g l. b a& u
Pitman estimator, 皮特曼估计量: j# ]6 H8 \0 V* _' ~
Pivot, 枢轴量: J" Q! j0 o+ L6 t, V
Planar, 平坦
% _$ S# \7 p2 n- VPlanar assumption, 平面的假设# O' L. @ r6 ], n7 p2 N: \1 r
PLANCARDS, 生成试验的计划卡
5 T I l5 c2 Q4 o# H+ G: CPoint estimation, 点估计. @5 ~+ } B$ d) z6 G3 X
Poisson distribution, 泊松分布
, X) W' x- \& L' N, {" @Polishing, 平滑& p0 `. V3 j K7 g1 A
Polled standard deviation, 合并标准差6 I/ \% U8 ?& ?+ E( I0 A* O$ W
Polled variance, 合并方差
' L! r* F/ T* [, H; tPolygon, 多边图+ U8 B( b( B$ ~- {7 q3 v1 b5 ~
Polynomial, 多项式% ~( N0 D7 t( e. F' o' _3 |
Polynomial curve, 多项式曲线' [: p7 T, _% p: e9 a( M
Population, 总体* I; q6 o/ W1 A% I
Population attributable risk, 人群归因危险度
2 g N) A4 @+ \* y0 W8 Y* p; GPositive correlation, 正相关0 q6 P' H9 _% I! X9 u; M- |4 E# f
Positively skewed, 正偏7 `( i& O% w2 _; R1 E
Posterior distribution, 后验分布4 `( h5 W' s1 j' h6 D
Power of a test, 检验效能
V" v" D$ R: }: q) { [, p) ]# YPrecision, 精密度. \; U' ?% i3 X8 L' H8 |9 m
Predicted value, 预测值
9 q0 P$ c/ \/ G% }: |, k6 g( R- A. B) UPreliminary analysis, 预备性分析
* _; z. z( m- i+ L! T, R* J6 |Principal component analysis, 主成分分析
2 A& {3 J6 A+ R3 N1 HPrior distribution, 先验分布
+ t5 n! |" v: `9 ]& ] F/ N2 i$ GPrior probability, 先验概率. x3 Y/ D: j7 B1 ]
Probabilistic model, 概率模型
4 S' c: a: g+ cprobability, 概率0 p* {) `4 D& ~, v
Probability density, 概率密度
4 |# o! a& k! y& ~Product moment, 乘积矩/协方差
$ b1 j6 r+ x/ M) }- k* EProfile trace, 截面迹图7 l8 }( Y# X% U$ R5 g1 V
Proportion, 比/构成比
. e! B% V8 n9 W" IProportion allocation in stratified random sampling, 按比例分层随机抽样
. M! V" V( ^- `: e2 z8 o- u5 bProportionate, 成比例2 I& h0 H) G/ _1 J/ [
Proportionate sub-class numbers, 成比例次级组含量1 x# l: @& p4 M: \% @1 S
Prospective study, 前瞻性调查
1 B% ]: f4 U' U; H" U. e" mProximities, 亲近性 n5 n( Q: N9 w+ w3 M: t
Pseudo F test, 近似F检验- W" @2 Q+ g2 d5 v7 Q
Pseudo model, 近似模型; }; D; }; s/ S) T8 p* h U8 h+ ]
Pseudosigma, 伪标准差& D( y1 V+ [4 K U ?3 D% \
Purposive sampling, 有目的抽样
9 a1 K+ G9 T# U, ^2 b, P' MQR decomposition, QR分解
; `9 K9 \7 C( F8 j' ~, zQuadratic approximation, 二次近似( y& o7 O4 j: C+ l# S7 [
Qualitative classification, 属性分类
9 ^6 @3 q& @% u! LQualitative method, 定性方法
+ g4 B4 r) \% v! V% JQuantile-quantile plot, 分位数-分位数图/Q-Q图+ n6 d2 _0 p$ L: j
Quantitative analysis, 定量分析
: m4 Z, R y1 s' wQuartile, 四分位数
' |" Z7 |9 B' M0 k5 K# jQuick Cluster, 快速聚类
Y. N; r. P! [6 O% V |7 ARadix sort, 基数排序/ N8 w* B$ |/ T
Random allocation, 随机化分组
" r( X1 ~2 e9 t! i' u# ]% [Random blocks design, 随机区组设计
: u- U$ J* {0 S9 a- R6 T5 SRandom event, 随机事件
. A, x7 G/ p( ^* i8 JRandomization, 随机化7 R. e: \2 O+ g `
Range, 极差/全距$ m# Z7 x6 M4 P& l0 v
Rank correlation, 等级相关
- y! C1 N/ W0 [, i8 h. sRank sum test, 秩和检验
$ D; b% C# p7 P. n. fRank test, 秩检验
; _6 p% A$ d( l+ ^( O# v' D7 PRanked data, 等级资料( B, a; B+ p5 e; o+ \
Rate, 比率% z* P& B0 x/ [+ A' K1 F( Z) c
Ratio, 比例5 F8 [& j# @' i: x1 L O9 g
Raw data, 原始资料
& `/ m& \6 V9 \3 fRaw residual, 原始残差
$ f! i3 C1 P8 i0 ]1 n- BRayleigh's test, 雷氏检验: z' b& g6 {% X* X5 F
Rayleigh's Z, 雷氏Z值
' \6 E" U; W0 }; [1 xReciprocal, 倒数
3 p0 R9 z, Z i$ IReciprocal transformation, 倒数变换
! }/ J O8 d+ T+ O! a jRecording, 记录
8 q) X4 m( [. R0 S1 uRedescending estimators, 回降估计量& H- S1 P. o6 m$ C; z6 u
Reducing dimensions, 降维! Z% @+ V1 C. \6 V' Y1 n- T: `
Re-expression, 重新表达- k! L) O U" h! q, p: H
Reference set, 标准组# ^( U; X. D% \$ ?, e( A
Region of acceptance, 接受域! z/ Y' s4 c. ~
Regression coefficient, 回归系数4 N p. f" B# p& M, B1 b& b
Regression sum of square, 回归平方和: z+ f# x0 ]2 u# u6 H
Rejection point, 拒绝点
. r: }' c) s& {" V+ u; jRelative dispersion, 相对离散度
9 R( w# T( Y6 jRelative number, 相对数( W& h! y8 ~8 i7 d
Reliability, 可靠性
* r( @. `2 e8 u& b9 B+ ZReparametrization, 重新设置参数
0 P: l9 }2 X1 W, b% o, q8 oReplication, 重复, f9 l! B7 H% g+ `# N
Report Summaries, 报告摘要, h" Z" T7 G9 Q% y0 C d- W& F9 w
Residual sum of square, 剩余平方和
: z4 Y; K) A* p& z& TResistance, 耐抗性2 V1 y' D7 l& @2 p7 y; Z* d o
Resistant line, 耐抗线
0 M8 ?- ^8 Y: ?# WResistant technique, 耐抗技术0 l' h; f% F# d
R-estimator of location, 位置R估计量
* O4 t" L4 i5 r5 q+ |7 [" SR-estimator of scale, 尺度R估计量: P; T; H4 t( X2 M- ^% e2 C
Retrospective study, 回顾性调查7 c. {1 B( D3 D4 f4 Y" p* I
Ridge trace, 岭迹
2 J) _/ u5 ~# G u# T1 i9 w& N+ p: aRidit analysis, Ridit分析! J9 T. @+ P: w" h o6 G4 W G; }/ J/ _
Rotation, 旋转9 q8 o1 _2 h* x% t* t( R7 ~- U9 X
Rounding, 舍入
6 w1 j% n/ v: S" _! R! j( ]( RRow, 行9 f: g0 H8 O4 {2 ?. ~$ o) }
Row effects, 行效应' v9 ], E2 @/ i n
Row factor, 行因素
% v0 k/ ^* A, ]$ mRXC table, RXC表
, V! D; K0 z: ^0 m. @% l. DSample, 样本
& @2 H$ U0 n3 V$ LSample regression coefficient, 样本回归系数
0 S& g1 j* }" q" p# V& jSample size, 样本量4 ]2 g" ~3 n& Y O. y: X. ~
Sample standard deviation, 样本标准差, Z# u4 K+ ]' ]( L* ^& f; t: m
Sampling error, 抽样误差
, G0 a1 Q- m, C+ e, f0 ?* iSAS(Statistical analysis system ), SAS统计软件包
2 A" Z6 ^3 [: {: T6 }4 C/ [# m* CScale, 尺度/量表
" f5 R$ Z5 V- [8 lScatter diagram, 散点图
[& B8 \! l$ m- w" H2 DSchematic plot, 示意图/简图5 W+ t$ J" `/ V2 U5 d n! c: i6 G
Score test, 计分检验
4 [ ~( s4 R$ M( KScreening, 筛检! Y! r h q3 q# ]9 P
SEASON, 季节分析
o* E0 [! a' FSecond derivative, 二阶导数2 H9 D! `* [) L6 y7 ?
Second principal component, 第二主成分
% }4 q' C7 t, _SEM (Structural equation modeling), 结构化方程模型
& a& a, A. N& U$ \3 J2 }Semi-logarithmic graph, 半对数图/ e; i+ w( Q, N" l8 c$ T& a3 F
Semi-logarithmic paper, 半对数格纸
2 ~9 p: o" ]& kSensitivity curve, 敏感度曲线
' f! i$ x2 P- m7 H! t/ zSequential analysis, 贯序分析
d' y* W9 q4 {' pSequential data set, 顺序数据集8 v* M4 J6 e* {7 h f$ @2 m/ h |
Sequential design, 贯序设计
$ ?/ c. X) e2 J0 uSequential method, 贯序法
& h; A9 Z/ Y, V6 u7 SSequential test, 贯序检验法, l8 l1 B: F4 `: L7 A
Serial tests, 系列试验
- u# \. a; K- U. Q' HShort-cut method, 简捷法
0 O) C5 }0 T) E3 j' J* T% G6 S% T1 vSigmoid curve, S形曲线6 ~, {6 i, x0 Q- e' e
Sign function, 正负号函数7 j$ z! ?5 t7 n6 Y9 g- V
Sign test, 符号检验
1 s9 e) \, L( X: O" [# OSigned rank, 符号秩8 {+ \1 E* Q! C
Significance test, 显著性检验- t, Z3 @) y. g& ~# ^) A
Significant figure, 有效数字& P( n( V* f) `* d7 n* N/ Y
Simple cluster sampling, 简单整群抽样8 b& O& b2 l3 f) }& u/ e
Simple correlation, 简单相关' n l ~' P) l/ R" W
Simple random sampling, 简单随机抽样
4 o% p- y2 w9 ]6 rSimple regression, 简单回归9 m Q/ a4 Z! j: r
simple table, 简单表, Z3 G4 e) c! {# K |
Sine estimator, 正弦估计量% ~' e, n6 b3 `5 w# ]/ R
Single-valued estimate, 单值估计
8 G. l! r6 Z6 ^1 q. wSingular matrix, 奇异矩阵6 K G' n' X, R; n; n
Skewed distribution, 偏斜分布( t5 a& D8 [' U* z5 F2 {; y$ i
Skewness, 偏度8 f0 o" ], v w! V' e
Slash distribution, 斜线分布' Y7 G1 d% ?8 s" |
Slope, 斜率
( Z0 X7 @; x) a( E. C+ y8 cSmirnov test, 斯米尔诺夫检验( E4 X2 p# d1 E8 t: C7 |" `
Source of variation, 变异来源) m1 C7 i8 o, G3 E0 ?, m+ i
Spearman rank correlation, 斯皮尔曼等级相关
# Y4 N' u( \. u3 e7 S% LSpecific factor, 特殊因子0 n' p4 d' o3 {+ m/ u5 a) m! C
Specific factor variance, 特殊因子方差
+ M P' s3 t6 N {Spectra , 频谱$ [2 u8 L0 Y# b0 P; _
Spherical distribution, 球型正态分布
5 [( x; j6 ]1 N5 Q; E/ O2 T7 V! eSpread, 展布
. l- Y" A) b2 A/ S: j! I2 ASPSS(Statistical package for the social science), SPSS统计软件包
$ n% {+ x7 }7 d7 ~9 C; F, B- c: |Spurious correlation, 假性相关
) O+ {6 Y" w% T+ vSquare root transformation, 平方根变换
8 d- L* M. d5 T, Q+ }, ^' ?Stabilizing variance, 稳定方差
% q9 r9 J4 t' s: X, XStandard deviation, 标准差- M3 R1 J f" c" W+ {- A
Standard error, 标准误! N$ A5 o; b! U& J5 s! H& F
Standard error of difference, 差别的标准误
Z' j) c+ |: S1 nStandard error of estimate, 标准估计误差
( ]! B1 @6 [# M# H$ `( v+ WStandard error of rate, 率的标准误* B4 l; q- ^: d. r; H1 {
Standard normal distribution, 标准正态分布" z+ X: o3 r) \$ u& i, p* {/ a
Standardization, 标准化
6 x& ]6 n# l2 R- ~: D6 R1 fStarting value, 起始值
5 @) S5 I! U+ k) `9 k6 K, `Statistic, 统计量2 W# {" m2 J1 ]
Statistical control, 统计控制1 T, X7 m0 c$ ]4 I
Statistical graph, 统计图( v+ G' [% t8 N& c
Statistical inference, 统计推断% V" a1 V% \/ u: E4 F
Statistical table, 统计表
+ ~( ~8 b% W6 [" e3 M* z) D" l4 rSteepest descent, 最速下降法
! b4 Z$ q) Z. o1 f/ p% b NStem and leaf display, 茎叶图
U0 L; `, y2 A/ q1 oStep factor, 步长因子! \2 }3 x1 h0 v8 j9 c7 \
Stepwise regression, 逐步回归4 ^, ?5 E- q. g* A8 J0 ^% z
Storage, 存
0 d- ^* q. m9 u DStrata, 层（复数）# L$ L0 a: r' {6 Q; ?
Stratified sampling, 分层抽样' e2 f' y% P2 I
Stratified sampling, 分层抽样
2 s- H2 x5 R7 h8 E* V' a3 XStrength, 强度
6 }6 M& [ e" r& e. h% E3 t- FStringency, 严密性
* ^0 }% u) z( yStructural relationship, 结构关系( }' _' k( @% H6 z) E1 r
Studentized residual, 学生化残差/t化残差
' a7 L6 x5 d& uSub-class numbers, 次级组含量
" A9 q' U4 h2 w3 `2 E( Z9 S2 q3 \& KSubdividing, 分割) j" }% w8 d1 z" J
Sufficient statistic, 充分统计量. ]- C/ h: q. f
Sum of products, 积和
! q- k( J4 C9 o, w" zSum of squares, 离差平方和: N0 d! @. W1 P
Sum of squares about regression, 回归平方和! V8 q% o2 z8 k2 O% @
Sum of squares between groups, 组间平方和0 q5 \! y! o# d
Sum of squares of partial regression, 偏回归平方和7 y0 H/ f: S6 @$ L( k* X% c; w
Sure event, 必然事件7 w' i/ g3 ]: G) J9 F
Survey, 调查# n6 G* o, x- `- ~) @/ o
Survival, 生存分析
) U2 n# j5 _! K3 zSurvival rate, 生存率
, n1 p7 A+ C8 C$ k; VSuspended root gram, 悬吊根图
1 I8 A3 v. B* {2 p" d5 T0 ^ _6 sSymmetry, 对称
+ o" O6 c/ L6 x: rSystematic error, 系统误差
4 q2 Z1 I6 `- ^! _8 w- I. P5 {Systematic sampling, 系统抽样* c2 G# A) ^' f1 a1 D; ]; J
Tags, 标签; ~, F% u# k3 H. V3 a2 n: p
Tail area, 尾部面积
8 R0 a+ k1 v G8 u- `$ XTail length, 尾长
* V6 v$ f' B. m2 U! dTail weight, 尾重
6 D; H8 g8 E- D: p8 c+ x0 eTangent line, 切线
# M3 b( L% q( m# z bTarget distribution, 目标分布% K- K* p9 K" l- }# [! D
Taylor series, 泰勒级数1 ` c9 L/ C& W! ]- _
Tendency of dispersion, 离散趋势
; @1 [9 [: g$ R! |. K" \6 rTesting of hypotheses, 假设检验* ^9 c. X- t. w \
Theoretical frequency, 理论频数
" f8 s+ `. ?, d/ S0 g' D) @' m4 h nTime series, 时间序列8 W Q: O- g: M( y& {' k7 S' t
Tolerance interval, 容忍区间# n4 e$ K/ a" V- b! J
Tolerance lower limit, 容忍下限
) a9 j' B0 K. Q- W1 mTolerance upper limit, 容忍上限
" o& G% _9 i$ V. _Torsion, 扰率
m' n9 J8 M: F4 vTotal sum of square, 总平方和& b0 X C1 i; [6 V% a7 C
Total variation, 总变异
( z+ a6 \6 N( k8 O5 { t" L3 F5 U8 ATransformation, 转换3 f& o/ r# c8 O7 \5 c/ g0 Q+ h7 y
Treatment, 处理
% Z6 v# B% f; I* l6 f9 dTrend, 趋势0 `; o, p5 V5 e0 m
Trend of percentage, 百分比趋势
( x$ G* o! w vTrial, 试验+ ]! Y" P% r% G+ \' w1 O! I7 z/ k! T
Trial and error method, 试错法
# W/ _0 A2 \0 M9 _Tuning constant, 细调常数3 R7 c( ], c5 [6 D3 O- m6 d- R- {
Two sided test, 双向检验( j# ^! f% K/ m& V& i* ?
Two-stage least squares, 二阶最小平方
$ p% j0 A- C& C5 b. J$ h. X. QTwo-stage sampling, 二阶段抽样
/ b: I' x, e) Z( a1 [- x4 \; _2 nTwo-tailed test, 双侧检验
2 Z8 Y, R0 n1 q9 @6 HTwo-way analysis of variance, 双因素方差分析. c# {" @6 t' y4 \* [1 u: S6 s- q
Two-way table, 双向表
/ ?- t2 s0 w: x+ iType I error, 一类错误/α错误
" n5 Z. l7 {! oType II error, 二类错误/β错误/ X# `3 M# @( i
UMVU, 方差一致最小无偏估计简称+ z; @% n) v2 x1 I% j
Unbiased estimate, 无偏估计. P6 V5 K4 B8 Q) p; Y
Unconstrained nonlinear regression , 无约束非线性回归6 @( T. a* i* M3 \& n O: D
Unequal subclass number, 不等次级组含量
+ U9 @ L' e+ `7 LUngrouped data, 不分组资料5 E* G2 Y( _ l1 S$ p
Uniform coordinate, 均匀坐标
' v7 y7 c# k: |% M! C+ X/ B, Z: lUniform distribution, 均匀分布
2 ^- k3 k1 d# x& C1 _Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
3 _$ w: ~/ a4 U' E. RUnit, 单元% m6 Z2 O6 g @4 k
Unordered categories, 无序分类
- K7 e* y+ r. Z6 w8 |% H9 A+ tUpper limit, 上限
& d! P$ h& V; z0 g1 RUpward rank, 升秩
7 P! w$ c& j, WVague concept, 模糊概念" G$ l1 X7 e- S: Q X( [
Validity, 有效性7 l2 E4 t3 Y& Y0 \
VARCOMP (Variance component estimation), 方差元素估计
, X! [ H6 ?0 ?7 aVariability, 变异性
! A S5 C6 m$ [0 g. y' a( TVariable, 变量, h7 v1 n. P- P
Variance, 方差, Z/ t) x7 Y9 c8 d
Variation, 变异
4 P" }# k9 O H, D# X$ w: v4 xVarimax orthogonal rotation, 方差最大正交旋转
4 H+ l; f- f G9 eVolume of distribution, 容积
) I! P* t, @* z: L/ x& D$ xW test, W检验9 X8 D0 U7 [2 Z( |4 ?$ u& c+ a
Weibull distribution, 威布尔分布
! M1 x& V; K3 L7 c* ]3 G4 GWeight, 权数
5 l" e0 y$ \ {$ f! nWeighted Chi-square test, 加权卡方检验/Cochran检验* B: h2 i. ?& u1 T
Weighted linear regression method, 加权直线回归# D9 M+ t- z! f
Weighted mean, 加权平均数
1 G' O C. k) s- U6 q7 E1 bWeighted mean square, 加权平均方差
9 ^; t% f' [ R! i' L- Q# H9 l# FWeighted sum of square, 加权平方和9 S. m6 o1 S4 i, y! x
Weighting coefficient, 权重系数
0 c* t: f0 f2 A/ b0 JWeighting method, 加权法
- d3 U9 k1 A, O- AW-estimation, W估计量
4 X7 d0 A8 ]# YW-estimation of location, 位置W估计量
! Z1 I% @, Q% X0 RWidth, 宽度
" J# q2 B8 ?' @7 IWilcoxon paired test, 威斯康星配对法/配对符号秩和检验
( F& k! U; I: L5 X# O9 V1 Y' N. jWild point, 野点/狂点
. }. O) y" o; h4 ^4 `6 ^: o7 v' {( f2 EWild value, 野值/狂值: L% x* T1 Y. n' _( d! T
Winsorized mean, 缩尾均值9 I: C7 W9 r, ?/ P3 p
Withdraw, 失访 8 y$ g9 l2 T5 Y$ X* R4 R
Youden's index, 尤登指数! Q9 k! s! y4 v% W
Z test, Z检验
/ a+ I" u' ^/ H1 pZero correlation, 零相关, R" Z5 d/ S. |1 P) D
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
