|
|
Absolute deviation, 绝对离差, J y3 g% p- r! D! N* a9 \
Absolute number, 绝对数
; v1 p5 S# K( f2 J; PAbsolute residuals, 绝对残差
/ N& P: D* E9 j# e" v- vAcceleration array, 加速度立体阵! o8 K, z D/ ^# U+ _ T2 P: y
Acceleration in an arbitrary direction, 任意方向上的加速度
& v$ r! M& \, l9 j) g9 D# O6 vAcceleration normal, 法向加速度 I( j4 c- N, l- \! ^3 ^& b
Acceleration space dimension, 加速度空间的维数% {7 l$ x3 n+ X$ f
Acceleration tangential, 切向加速度1 [- ]$ Y3 v* K) G
Acceleration vector, 加速度向量
- o/ ?# O. Y( z- z+ V/ `Acceptable hypothesis, 可接受假设
) y. G5 Z) o( D& f- s0 lAccumulation, 累积
' W" u1 S* M) d" q1 Y/ jAccuracy, 准确度8 [+ y+ b7 C/ U
Actual frequency, 实际频数
9 z. d! l, \% {Adaptive estimator, 自适应估计量' X7 ]+ ~0 A6 _! j: S4 ]" o- `
Addition, 相加; B$ Q) M, S- g4 o
Addition theorem, 加法定理
6 p7 e& U+ @' x; Y% z4 f; jAdditivity, 可加性
0 Y( W8 G: I; r& f( tAdjusted rate, 调整率9 }9 `3 o- T9 i) C4 @; C
Adjusted value, 校正值
. i9 w. L) n5 _/ eAdmissible error, 容许误差! f. h9 F9 t' C [9 _7 b3 C% E
Aggregation, 聚集性- Z9 @% t+ z9 l! y' T
Alternative hypothesis, 备择假设
1 _% b1 c1 }/ p( r* J) ZAmong groups, 组间
: Y0 z \0 [: f' F* h* j" bAmounts, 总量
8 m8 m9 J. \4 eAnalysis of correlation, 相关分析
2 o3 C2 z; o9 x# p! TAnalysis of covariance, 协方差分析
1 `5 O. r3 z/ R2 y+ R7 VAnalysis of regression, 回归分析
9 V+ d) I5 V, t6 xAnalysis of time series, 时间序列分析
- f7 E2 F' h& B- r9 UAnalysis of variance, 方差分析
- w8 F8 n2 Q U+ jAngular transformation, 角转换) g, r! M7 R) K& V8 X2 T8 d
ANOVA （analysis of variance）, 方差分析' t4 v/ w# l3 T4 C/ e8 |" E4 u( I
ANOVA Models, 方差分析模型
! R% K5 p- A4 Q6 o8 r% l- nArcing, 弧/弧旋9 P4 k4 o# O' o d; p
Arcsine transformation, 反正弦变换) P$ `8 n% u2 U( \& V P, r
Area under the curve, 曲线面积
! w/ O$ x" f6 C9 Q, E7 E/ { RAREG , 评估从一个时间点到下一个时间点回归相关时的误差
* H0 T; t( B' s( S2 n; O0 S4 eARIMA, 季节和非季节性单变量模型的极大似然估计
: A, T |! O; |Arithmetic grid paper, 算术格纸
, G* W: m/ V) Z& Y. lArithmetic mean, 算术平均数
/ v$ z" }& O, H- f) V; a# }Arrhenius relation, 艾恩尼斯关系* _2 N6 r: ]- I1 B7 t
Assessing fit, 拟合的评估0 V* e9 I! m$ G# I0 Z# E7 N; n7 A
Associative laws, 结合律
( T6 \' v! D+ C2 {! HAsymmetric distribution, 非对称分布
( P: k4 D9 W! pAsymptotic bias, 渐近偏倚
9 f' t G! Q" K* e4 y9 ^, aAsymptotic efficiency, 渐近效率
7 p- v" c! ?% ~6 V: |Asymptotic variance, 渐近方差
- L, e! B; d9 g3 @8 qAttributable risk, 归因危险度* n! Q4 W, L( \( `8 t. f5 X
Attribute data, 属性资料' ?0 T& W1 z- B Y2 L5 Q
Attribution, 属性5 h0 D6 {+ O# b, \$ F' `
Autocorrelation, 自相关. }. z2 \# x" F
Autocorrelation of residuals, 残差的自相关
- i# h+ p# L! O; f9 G6 |# FAverage, 平均数
: X5 ?* d, c& r2 d3 L+ {Average confidence interval length, 平均置信区间长度* a- l* x6 T& C8 T+ ] d% S
Average growth rate, 平均增长率
7 b. k3 [1 S9 g4 @& ?- v8 YBar chart, 条形图
5 T% F7 K& y& e2 N: Z4 {. rBar graph, 条形图$ Z1 X0 Q. _; {0 p3 n0 d% J
Base period, 基期9 P/ k2 d- j8 T. W' {. }8 T! E
Bayes' theorem , Bayes定理
) i- h- Z) u9 W$ nBell-shaped curve, 钟形曲线
8 x3 P g+ T- U* Z7 [Bernoulli distribution, 伯努力分布9 g; D1 V8 o1 F# Q
Best-trim estimator, 最好切尾估计量) C# B2 r2 d$ [2 N! D7 {
Bias, 偏性3 e- j4 _: J& j" `. I3 C) [
Binary logistic regression, 二元逻辑斯蒂回归
& {! Y; Z; M* H9 t8 ~Binomial distribution, 二项分布; ?1 ]4 y2 i/ ]$ t' k
Bisquare, 双平方; J# u; Q3 p$ e5 v: |
Bivariate Correlate, 二变量相关
7 g4 i$ N* [$ \9 t ~Bivariate normal distribution, 双变量正态分布/ S1 n/ A6 ^3 I
Bivariate normal population, 双变量正态总体7 t9 R* A! M$ G
Biweight interval, 双权区间
' K/ }8 k' k5 ]. `0 b( NBiweight M-estimator, 双权M估计量
0 o4 X6 v4 U2 [% hBlock, 区组/配伍组
- Z9 l0 s7 c }BMDP(Biomedical computer programs), BMDP统计软件包, a4 h ~8 G' f/ H- j
Boxplots, 箱线图/箱尾图
; k8 X4 C! G* ]. T; k+ vBreakdown bound, 崩溃界/崩溃点
1 J( J: n, N3 D: K: eCanonical correlation, 典型相关
& E6 w# ~8 {3 L6 C1 q( R2 ~1 h ^Caption, 纵标目
' M- X8 Z4 g2 kCase-control study, 病例对照研究; f6 @/ {( s9 m' r
Categorical variable, 分类变量
( f8 P+ Q: v/ cCatenary, 悬链线
( n9 S- J3 r' ^) D( R5 cCauchy distribution, 柯西分布0 m3 I2 e; K1 p! g
Cause-and-effect relationship, 因果关系
3 t. U1 O: J5 z: c- r! \; s1 yCell, 单元4 o, K! [$ c- S2 `1 d( ]
Censoring, 终检
: U' Z/ [5 I, f* D& PCenter of symmetry, 对称中心- E! t: g# n. Z9 E, [
Centering and scaling, 中心化和定标2 v4 N+ O( T# S3 P' S0 ^: i
Central tendency, 集中趋势
% T. c8 @7 q i5 ?3 P7 s& n0 MCentral value, 中心值
( e$ ]% c3 g! ], a6 d$ }$ Z! b& i" RCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测$ U, |4 S3 u: \6 T' \1 o& O
Chance, 机遇: j# `0 {* b% T6 C( K9 ^! Z8 Z: I
Chance error, 随机误差8 V2 k2 o i& E) E
Chance variable, 随机变量
2 ~$ i" k. f0 ` T$ d( R0 L- FCharacteristic equation, 特征方程7 V2 f) G$ F2 k3 R3 m1 U
Characteristic root, 特征根3 m" J) O, ^4 s: q% Q: Y
Characteristic vector, 特征向量( S- \/ u/ u' Y2 Z
Chebshev criterion of fit, 拟合的切比雪夫准则/ p1 a) |/ q) q2 M$ o, I
Chernoff faces, 切尔诺夫脸谱图2 _& q9 c4 W: c$ j$ }. d5 n; W: P5 f
Chi-square test, 卡方检验/χ2检验4 S/ n: P) t1 ^1 }8 j" X6 t
Choleskey decomposition, 乔洛斯基分解. T4 N. Z6 d- E/ d# S9 R) S
Circle chart, 圆图
3 K6 Y- z( W6 v$ Q( p( M7 sClass interval, 组距
3 I7 {8 W2 N1 C7 b# q" BClass mid-value, 组中值" o/ o) E* L$ j$ U/ U
Class upper limit, 组上限9 E+ W+ `8 L; t
Classified variable, 分类变量1 ?1 E8 P: E$ n: L2 V: ?
Cluster analysis, 聚类分析" S) D) W# I6 \1 N
Cluster sampling, 整群抽样
. O) g- D0 c+ U2 Q$ c: ]2 ]Code, 代码
# P2 J9 h- h- A2 Z& {Coded data, 编码数据
5 T2 F5 R1 b$ K* uCoding, 编码
; _1 D4 `% Y* |6 {Coefficient of contingency, 列联系数
U7 i: l# i& bCoefficient of determination, 决定系数" |9 n7 n$ V2 Z- W# R
Coefficient of multiple correlation, 多重相关系数 i% _. D# ]2 ^, H c
Coefficient of partial correlation, 偏相关系数% F% z$ Z* } B2 L3 l) [- Z$ e& F/ g
Coefficient of production-moment correlation, 积差相关系数
6 ]- X+ K3 ^. ]1 TCoefficient of rank correlation, 等级相关系数6 K% H+ J' \. r- [* l% J! u( m) C
Coefficient of regression, 回归系数
* s9 A! i( t7 I6 V% Y8 @' o! e& V1 KCoefficient of skewness, 偏度系数3 W6 w3 f9 o" m
Coefficient of variation, 变异系数
0 H* v+ B# V) X( ^# ~Cohort study, 队列研究
8 ^2 F" j7 l* }: F+ J+ }( n) e; ?Column, 列; C1 Y! N, O8 e
Column effect, 列效应- `9 b9 y: v [5 q) ]" f
Column factor, 列因素, j4 k9 P! ]; _$ M/ a/ s, ~
Combination pool, 合并3 n5 ~$ t. H) q
Combinative table, 组合表* o1 x1 w. c0 g6 z
Common factor, 共性因子
# }4 z% Y! I) u/ }Common regression coefficient, 公共回归系数2 W; B& T1 t3 E" }
Common value, 共同值3 c7 q1 I8 b8 u) l$ g' L7 z# {
Common variance, 公共方差& [+ [% T2 x' f$ \
Common variation, 公共变异
/ H4 N- p6 |, ?- z0 m& vCommunality variance, 共性方差
/ p2 L. O$ _+ _6 v2 ?' kComparability, 可比性6 `; D8 X2 b# t+ m( G- x
Comparison of bathes, 批比较 \1 l; X& ?' T: K* I& I
Comparison value, 比较值
d2 e: b$ _ W9 OCompartment model, 分部模型" g' `3 x; c0 A: e
Compassion, 伸缩
! F0 a7 I- t! \. _. X \7 WComplement of an event, 补事件
1 a4 T- e8 U9 ]1 X/ O7 _! _Complete association, 完全正相关
, u4 P7 G6 ~' {# ~0 wComplete dissociation, 完全不相关' E4 A4 ]- P0 J4 R& R5 K* h
Complete statistics, 完备统计量( J: A+ Y' l7 r3 `2 s3 x) d
Completely randomized design, 完全随机化设计
. [' v% W* R9 o, k- t1 bComposite event, 联合事件, y1 W4 _1 o2 p8 B* L6 d
Composite events, 复合事件 G4 ?5 l$ P9 N* F4 w
Concavity, 凹性4 O, ]; C+ l- u9 x* R' w; n
Conditional expectation, 条件期望+ b+ v% D* z" l: n
Conditional likelihood, 条件似然
# f7 C& M( F+ Z4 g2 L) IConditional probability, 条件概率
" h- J8 J4 L1 _7 XConditionally linear, 依条件线性- {7 S& j9 Q/ O) R l, v1 r3 I
Confidence interval, 置信区间% @9 f. ^0 m- t ]3 b0 q) I* ?
Confidence limit, 置信限
( a/ X% l1 }/ `+ XConfidence lower limit, 置信下限
9 ]: D) p1 z; s1 o$ f3 Q, O* w& A1 kConfidence upper limit, 置信上限1 Z& h" I& \# i. Z( w) H0 r* |
Confirmatory Factor Analysis , 验证性因子分析: h1 e' I0 b- T9 @
Confirmatory research, 证实性实验研究+ X3 y. K7 v4 B9 p' u4 Z, n: \/ x/ n
Confounding factor, 混杂因素8 g5 C1 b, ?& A
Conjoint, 联合分析
" O$ V8 ^+ ?$ ^! f' tConsistency, 相合性1 W: C8 g, T' w
Consistency check, 一致性检验
4 v- h0 I9 W: z xConsistent asymptotically normal estimate, 相合渐近正态估计/ K0 d2 H) X8 t i# V, Z
Consistent estimate, 相合估计
; @ m; u! r# OConstrained nonlinear regression, 受约束非线性回归
/ `" s8 H% A; K3 Y/ }( d* ]' KConstraint, 约束, g) d6 _- Q# o
Contaminated distribution, 污染分布
" Q# w" w$ {* fContaminated Gausssian, 污染高斯分布
[. W! x9 q+ W" n2 q$ C+ DContaminated normal distribution, 污染正态分布- X3 F- N; O6 b& A9 k0 G* g
Contamination, 污染/ ]- G0 |2 q/ k, [ Q/ @) k7 {- B
Contamination model, 污染模型
1 \8 p$ f3 S8 h5 _/ JContingency table, 列联表
" k! T9 A3 r% [! {; @Contour, 边界线
2 ~+ |9 M7 S* c M& WContribution rate, 贡献率
: b- }5 [+ i, R2 gControl, 对照
. F$ ?% J0 ]9 Z/ jControlled experiments, 对照实验# P" b$ S7 q5 }! s* W' u" {
Conventional depth, 常规深度1 e# o6 [& g/ I, w5 G/ ~3 S3 y3 {
Convolution, 卷积! M# u6 s4 K. C/ f: ~- H* t
Corrected factor, 校正因子
7 ~+ \- Q# t* Z- x( _! hCorrected mean, 校正均值
* @+ p [% ~, d& R( fCorrection coefficient, 校正系数
' \" x! _! z& g/ }Correctness, 正确性
9 ?" G7 u, S- ZCorrelation coefficient, 相关系数 p1 L- ]# ~- a0 N
Correlation index, 相关指数8 k: p9 n0 x( p0 H/ z
Correspondence, 对应
, g. {- o( Z; d% _$ z0 qCounting, 计数 I# P8 @! `( v# ?
Counts, 计数/频数
! @9 U" m7 K& G9 f6 I$ CCovariance, 协方差
, A% j, M, K8 j" `+ ]Covariant, 共变
9 Y# o4 ?7 T0 X8 @2 QCox Regression, Cox回归
, c* t4 U; M! A6 J2 F; e& z, G: K5 S4 iCriteria for fitting, 拟合准则! }% [# @1 t" m/ ?) k! Q) b
Criteria of least squares, 最小二乘准则: B. i3 f* g4 p& v1 k
Critical ratio, 临界比5 R" V% j9 I" p9 t8 E. k
Critical region, 拒绝域
6 L5 i2 O7 c. S: p. H, ~ CCritical value, 临界值
* r5 b1 e6 ]. D/ P g1 `; ^7 O% xCross-over design, 交叉设计* a; N6 @ d4 i) H ]: D2 \# S
Cross-section analysis, 横断面分析
2 I% q9 d; A( u. }Cross-section survey, 横断面调查: Q/ a$ J0 {2 w; k: k
Crosstabs , 交叉表 2 l9 V. B) B9 U& {& t- T4 z3 e5 j
Cross-tabulation table, 复合表
% `' t5 s/ c6 G% k. R6 F0 P# ZCube root, 立方根0 Q2 ]. a* w& X$ p$ i: `6 Q$ \
Cumulative distribution function, 分布函数2 |# s; h, V2 d8 H
Cumulative probability, 累计概率, R! f$ Q$ W* R+ o
Curvature, 曲率/弯曲4 O; m8 L- Q9 ]
Curvature, 曲率9 {9 } M( L k7 E( j h8 |9 b
Curve fit , 曲线拟和 ' ]7 u! c- T/ e1 D
Curve fitting, 曲线拟合4 \7 a+ u7 V2 h, T) l3 @
Curvilinear regression, 曲线回归$ G; y$ S, f2 d, |$ Q6 z; a
Curvilinear relation, 曲线关系
* z6 U, G3 \- {: H& S6 HCut-and-try method, 尝试法
/ g) J- K+ S3 ?$ S% s+ hCycle, 周期. p( J2 f5 q K7 N, o C
Cyclist, 周期性4 B) |9 x, f+ J" j* ^0 l
D test, D检验
0 ?, \7 s9 t. K9 s" {4 NData acquisition, 资料收集; ~- h: v6 X6 w1 [* K* `
Data bank, 数据库
) z8 Y6 Z1 x6 o& K6 P7 LData capacity, 数据容量4 ^ G7 ?: a. m2 n
Data deficiencies, 数据缺乏, ^4 p' L2 ] G% r9 {
Data handling, 数据处理6 v ?/ U* r7 L
Data manipulation, 数据处理
$ H X2 M& z, `1 R: iData processing, 数据处理5 n- |, w1 R5 l% V8 L- z% |
Data reduction, 数据缩减
Z! K5 s9 N' SData set, 数据集
( ^( A+ l7 r+ C8 x3 V% }3 W9 gData sources, 数据来源
. N/ r! d( y# ?) Q+ X' u2 W0 J: o( y. nData transformation, 数据变换
6 s1 P* x9 ^. L6 VData validity, 数据有效性 W6 a4 ^ ?9 d; P
Data-in, 数据输入* }' m C+ W/ q5 a# L% h7 w
Data-out, 数据输出- W2 u' j- S& ~
Dead time, 停滞期
9 O$ h8 Z/ `! ~$ R8 fDegree of freedom, 自由度5 f: [8 u8 l! ?3 q! `, ]6 j1 i
Degree of precision, 精密度9 W0 d$ j) h% C2 z* t6 e% R
Degree of reliability, 可靠性程度7 m( V# o9 b C+ |/ k* ]! F4 \
Degression, 递减
) t# [4 z$ H" z: zDensity function, 密度函数
, _# G# y% C2 u& ^% W9 b2 qDensity of data points, 数据点的密度9 ~/ ^4 }- ~& F" G& W
Dependent variable, 应变量/依变量/因变量: S/ {$ E9 M% R4 ` H. `
Dependent variable, 因变量
8 w! r5 G4 w8 E; ~1 L9 A1 d" E2 KDepth, 深度
& m: j& @4 M. t1 d) j' Q& X* MDerivative matrix, 导数矩阵
7 }, }1 g" O; J9 l3 ]" P" V$ mDerivative-free methods, 无导数方法) O5 C+ |9 F4 S6 a
Design, 设计$ B1 c( |. |. J8 N3 u
Determinacy, 确定性0 x) I! `5 W. I' Y- h' ?
Determinant, 行列式: J+ O# E" P8 `
Determinant, 决定因素
/ m0 a; u/ n' D- t! F; \# oDeviation, 离差
/ Y4 Z* x' C5 \- HDeviation from average, 离均差! c2 L. o. n2 X! n& W% m" M
Diagnostic plot, 诊断图
- I- d$ [$ X8 F, K3 n& D# dDichotomous variable, 二分变量
) q0 m- G! r% f& I# I' YDifferential equation, 微分方程
0 i+ F9 [" ?: k% U/ `Direct standardization, 直接标准化法, N6 k; Q0 t: k0 A
Discrete variable, 离散型变量) C( r% c E% y$ o7 E& y
DISCRIMINANT, 判断 & o6 w4 h9 @2 H% A: c e$ M
Discriminant analysis, 判别分析4 I2 b$ l7 T4 `. U
Discriminant coefficient, 判别系数& D: G0 {$ D0 n, ?+ e9 S
Discriminant function, 判别值
+ G4 l0 F1 k/ [4 j: E2 `# Y) ~Dispersion, 散布/分散度' x! T0 _4 T6 X% X! |8 t
Disproportional, 不成比例的
( N$ U0 J3 h! y1 u' |' y+ KDisproportionate sub-class numbers, 不成比例次级组含量2 y# ~$ ^0 V9 A \ J& s4 ^
Distribution free, 分布无关性/免分布( G2 f$ t" X$ o v9 S
Distribution shape, 分布形状 Z& |6 a7 ~6 ?* x8 r% f
Distribution-free method, 任意分布法
' B; V! _$ Z3 p+ h# G1 iDistributive laws, 分配律
* z7 H) I3 ?+ W4 a/ x8 ^: f cDisturbance, 随机扰动项
+ a+ X3 n4 d5 ~2 E2 Z7 JDose response curve, 剂量反应曲线; G1 E/ Z' V/ M3 y
Double blind method, 双盲法& U3 ?( V2 P1 j( {" c
Double blind trial, 双盲试验8 ^/ r; I# C( o) u, K5 |
Double exponential distribution, 双指数分布; n7 o r9 P6 O9 m. I4 p2 P0 M; [
Double logarithmic, 双对数9 z# c% L) H, m4 D* i" _
Downward rank, 降秩1 S* S9 I9 U: L" v, m+ q1 V" V
Dual-space plot, 对偶空间图
' U' T w7 m4 P& l; N; R5 T$ LDUD, 无导数方法
! V/ x+ G0 U* @/ ODuncan's new multiple range method, 新复极差法/Duncan新法
+ s* B: k, L1 T7 d0 L+ S$ KEffect, 实验效应
$ y/ O z; v' `Eigenvalue, 特征值3 }: p; P+ @- G/ g
Eigenvector, 特征向量! C; h x* A# p% W; q/ S
Ellipse, 椭圆 U# ~ U8 ?: c: _
Empirical distribution, 经验分布
& u. L! |2 m4 l; {/ DEmpirical probability, 经验概率单位+ U0 P; O# x6 G' K0 q3 n1 [+ P
Enumeration data, 计数资料
# D6 ^9 y$ T5 r3 WEqual sun-class number, 相等次级组含量
5 ]6 U* {2 n9 X! H5 m3 KEqually likely, 等可能3 s) B( s" P+ {! |; d& o
Equivariance, 同变性% ^( n0 Z% w Y7 A4 c$ Q; m
Error, 误差/错误: A y2 Z9 c1 D1 Y. q
Error of estimate, 估计误差
. A; R9 Q' A; R9 e1 o6 n% `* k4 oError type I, 第一类错误
% D% K$ V2 Q% C7 ^/ t! [8 Q* r, {Error type II, 第二类错误1 x3 V# W$ P: U- b
Estimand, 被估量
3 z k' _9 T* F, ~2 vEstimated error mean squares, 估计误差均方
" q% {6 ?7 r$ u5 CEstimated error sum of squares, 估计误差平方和3 | z/ ~% Z( B a1 B
Euclidean distance, 欧式距离
! b) v, u/ Y/ C' W4 DEvent, 事件
; p- Q' t* o' CEvent, 事件
# n5 H7 Z, m( Q9 r; y7 C' kExceptional data point, 异常数据点
- e+ Z( k) x# jExpectation plane, 期望平面
$ s- V R+ I2 b# C2 `& aExpectation surface, 期望曲面: Z: U3 Y- e6 T3 s+ _7 W( u L
Expected values, 期望值
! ]( k# d: k, ]; Q) rExperiment, 实验+ E% F$ L5 {6 ^$ L" v& H
Experimental sampling, 试验抽样* y/ @9 L- ?% |# o$ v" j6 {& n' \
Experimental unit, 试验单位
0 ^$ v- `0 E% B" `) ?" ]" IExplanatory variable, 说明变量
4 _5 s& D3 f; X, tExploratory data analysis, 探索性数据分析
2 m! x2 z1 N: t$ r4 \Explore Summarize, 探索-摘要
4 H7 y; j/ ~, k1 ?! hExponential curve, 指数曲线9 P: f- b! a7 O2 @# G9 C' [
Exponential growth, 指数式增长' b. p- I0 j: I& \$ r$ Z+ W
EXSMOOTH, 指数平滑方法 - Y r0 l4 N$ w0 v' L3 I8 T
Extended fit, 扩充拟合# G+ n' c+ q# [8 L S- I4 D. I
Extra parameter, 附加参数7 O5 L: o; p! T: \) Z6 `6 c
Extrapolation, 外推法
; I* I$ l2 r, i, w7 |! D. P0 s+ ZExtreme observation, 末端观测值
- x% L/ s$ A% P$ p; u; {" [Extremes, 极端值/极值3 H& z# G- G: s" l! d
F distribution, F分布
( p. J5 d1 w5 S/ F C% f+ gF test, F检验$ s1 v C. ^- U- `, G' B$ z; n
Factor, 因素/因子
& \ k7 }0 B1 G' B3 W9 q" x( P! z" aFactor analysis, 因子分析
; C1 s$ J6 L; q8 p* w' q: jFactor Analysis, 因子分析& a9 }2 g! F2 n- n" a( ~' U
Factor score, 因子得分 % F' Y9 d0 x+ o
Factorial, 阶乘0 M* z: g7 M6 r( }
Factorial design, 析因试验设计
0 T/ D' @ I8 C' a& Y7 jFalse negative, 假阴性
, [/ u! Y8 m6 [False negative error, 假阴性错误: d- B4 y6 C0 F1 J, q) O
Family of distributions, 分布族6 a) O3 Q1 }2 L
Family of estimators, 估计量族. P; M/ F$ x: c0 |7 F
Fanning, 扇面
6 }5 ^ S- j7 w8 ~Fatality rate, 病死率
( X2 S, l+ b) ~Field investigation, 现场调查6 L( p6 c7 Z. P" N' ?9 S
Field survey, 现场调查
7 b6 _- P2 ~' H, T/ c) L TFinite population, 有限总体 g6 @# K& ]- n- U0 Q9 E
Finite-sample, 有限样本
3 K2 v6 `4 ?& z, X q# S6 W; ]/ j. vFirst derivative, 一阶导数
E" q; ^1 P' M4 I8 y' _First principal component, 第一主成分/ ]5 x* b$ q; S4 W- U4 [6 O. z
First quartile, 第一四分位数7 p5 B9 t5 p% Y- g+ R0 M
Fisher information, 费雪信息量- C, }0 [2 K B; d+ Z& _ f: z, B! Q
Fitted value, 拟合值
$ q7 A/ E: }; c8 f. C% NFitting a curve, 曲线拟合$ Q* P* o; _0 M$ g. ]( b, c
Fixed base, 定基, H/ j r: V% F$ f& Z2 [. r
Fluctuation, 随机起伏+ f9 `, s; b3 o0 Y _
Forecast, 预测' U5 f8 ]4 q7 q! I* v
Four fold table, 四格表
0 s2 Q' Z) _, T' a4 O# h9 P+ \1 y, UFourth, 四分点# O+ K2 X# J, a3 v" \8 R
Fraction blow, 左侧比率
0 V, j$ M# ]- ?4 H( S2 S' `, d# {+ ?Fractional error, 相对误差
' E) l8 y! l$ @, z' }! c' dFrequency, 频率! n( ]8 ~ X' l; V- o& _' I
Frequency polygon, 频数多边图
: |0 N" B& E4 b, Z- FFrontier point, 界限点
" t( I& _* g" K4 BFunction relationship, 泛函关系1 L- S* w0 T- @3 P
Gamma distribution, 伽玛分布( Y( J, d q8 O/ h) u% a
Gauss increment, 高斯增量( e2 Z) L3 c7 }7 X$ X+ Q; X3 \( D
Gaussian distribution, 高斯分布/正态分布) _7 ^$ s2 R3 ~3 D
Gauss-Newton increment, 高斯-牛顿增量
/ ~/ \ D" C/ s, |( oGeneral census, 全面普查, \( u+ r3 ~% W1 x$ y9 S3 \9 N
GENLOG (Generalized liner models), 广义线性模型
' M8 F0 H& ~- t# S* |- o# cGeometric mean, 几何平均数! a% H* g+ ^. b3 \; C
Gini's mean difference, 基尼均差
' F4 C( @9 P: _( j8 [! _: E# o/ [GLM (General liner models), 一般线性模型 - F' G5 l e5 s+ @& k& ~
Goodness of fit, 拟和优度/配合度
/ P# j6 c0 I6 c5 j. jGradient of determinant, 行列式的梯度
4 d4 V0 p9 H% XGraeco-Latin square, 希腊拉丁方
$ w! W6 D# [7 u2 o1 TGrand mean, 总均值6 D. f- l5 m# G3 I% c" ~7 o1 @
Gross errors, 重大错误
0 g7 v" ?& \( O( Z! P0 WGross-error sensitivity, 大错敏感度
% O( U+ Z! @0 I/ x6 Z3 L- `3 e* eGroup averages, 分组平均
" j( {. F. H$ r6 sGrouped data, 分组资料9 M8 t* [ v; ], R
Guessed mean, 假定平均数
7 [! n$ _) l0 pHalf-life, 半衰期
# x( p9 T: y6 _0 SHampel M-estimators, 汉佩尔M估计量) @+ S3 Z+ D- y! w4 D3 e
Happenstance, 偶然事件7 U {) t* [! h( p+ E# P0 z1 t
Harmonic mean, 调和均数
5 k% r+ x( D) \; I) N$ NHazard function, 风险均数
$ Z. n6 u/ ]9 C9 OHazard rate, 风险率
* @9 ] N; J, s1 x3 eHeading, 标目
9 D: o/ G6 a) ?6 R, {9 v# q- z3 C) MHeavy-tailed distribution, 重尾分布
, T: l( S1 e3 T0 K! ]4 mHessian array, 海森立体阵
, B7 t" x- `$ xHeterogeneity, 不同质
( [2 M# m: @+ xHeterogeneity of variance, 方差不齐 0 B) t j @+ r- ]
Hierarchical classification, 组内分组
( p/ s5 z. u% B, p! [/ [Hierarchical clustering method, 系统聚类法9 {$ h* K% i4 Z# ^, y% |
High-leverage point, 高杠杆率点
/ f- C r( o! A8 ~- |- |HILOGLINEAR, 多维列联表的层次对数线性模型
& d7 D# i6 D E' X: ]Hinge, 折叶点5 c; i/ D/ I$ e' J) ~+ z9 f
Histogram, 直方图
9 z" Q% _8 C* s# k- _; [3 i1 }Historical cohort study, 历史性队列研究 2 k8 w* u2 o/ g' S( p
Holes, 空洞
. u0 ?: [1 o9 T! `& W) {HOMALS, 多重响应分析
# C1 G* v: Y1 H% pHomogeneity of variance, 方差齐性/ l/ P7 j$ e" Q$ r) L: Q, m4 W3 f
Homogeneity test, 齐性检验! J% R6 U! D- L, R- _1 ~! w
Huber M-estimators, 休伯M估计量* x* i, F5 P; |9 f" R! G5 p5 \
Hyperbola, 双曲线3 X9 Q6 b) i( _( F0 l: C
Hypothesis testing, 假设检验9 k4 {" N( G$ y* c
Hypothetical universe, 假设总体
) H! Z1 H: c6 ^! H# r$ h7 g- L$ L2 zImpossible event, 不可能事件- w, L+ C+ N% P
Independence, 独立性
) G4 w H( ^0 c0 d; h( _Independent variable, 自变量- s; M: @! H! j$ Y: [* v
Index, 指标/指数. D' ~3 H! j) J! _/ V
Indirect standardization, 间接标准化法% f" ` P% B h; K
Individual, 个体
8 z) l; T' L5 e5 H5 M3 @) v' t7 sInference band, 推断带& e2 b4 F% U! H- `! | N [& ^$ p
Infinite population, 无限总体
( e: A; f6 m$ N5 T7 O& s& t# e9 }Infinitely great, 无穷大$ z+ U, E* U1 n, I) ?2 d; Z
Infinitely small, 无穷小/ ~* C/ X0 ]: W( d# n2 L3 p
Influence curve, 影响曲线
6 }& [9 P2 k5 lInformation capacity, 信息容量2 P& w- {! o9 m; b( k/ F" ~$ J$ Z) k
Initial condition, 初始条件. n# h. ]: H0 k1 e
Initial estimate, 初始估计值9 `# h+ A& b# U: D! [4 W: u+ K
Initial level, 最初水平
5 }$ N( x! R" y# @Interaction, 交互作用
8 J+ L( G0 {# M# TInteraction terms, 交互作用项
2 w- M- T- U3 x! k, OIntercept, 截距
; u9 e4 M4 R/ E! F/ Q- h$ d1 xInterpolation, 内插法
1 A i' q- v* {& ^Interquartile range, 四分位距
6 o$ {. w3 G wInterval estimation, 区间估计
! ]* w0 M3 n3 H" E6 HIntervals of equal probability, 等概率区间
# B8 C0 c9 z9 d0 H6 _Intrinsic curvature, 固有曲率
# U( I8 E2 @, XInvariance, 不变性2 o$ K1 k7 F9 T- ^: ~
Inverse matrix, 逆矩阵9 x( z& j& A& _- M9 l+ X$ J8 y
Inverse probability, 逆概率
; K4 O- u9 m- o0 k/ MInverse sine transformation, 反正弦变换
8 G. Y9 v( p! L1 W3 PIteration, 迭代 8 Y. m4 p. U0 d% K& \1 E" Z
Jacobian determinant, 雅可比行列式
% j1 q% u- o. C/ HJoint distribution function, 分布函数0 C! d# @3 M. ?- f0 o
Joint probability, 联合概率
) y, }( G; W, [3 GJoint probability distribution, 联合概率分布% r8 T. p5 D M* j; a) ]* n- ^* F
K means method, 逐步聚类法
+ q& I! Z8 A( f( {- G. h# DKaplan-Meier, 评估事件的时间长度
0 b) D# i. M }% p7 dKaplan-Merier chart, Kaplan-Merier图! d5 p6 n- w! F* J
Kendall's rank correlation, Kendall等级相关% Z1 `6 F: Y" o, K( U1 g0 ~8 w
Kinetic, 动力学+ `# u& E( x4 {: l8 f% s* p
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
% J- I1 ~ I0 q. T0 Y- j7 ~Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验( F! h' O* h8 p" j! @' @* G' Y
Kurtosis, 峰度
9 o; i* {0 T0 h& c. t6 L4 N0 }Lack of fit, 失拟! k! ?/ @4 O3 {# A/ U/ c: {
Ladder of powers, 幂阶梯3 y7 i9 q/ Y( E5 N( ^
Lag, 滞后, ^& j$ k) b1 M! C0 k
Large sample, 大样本
/ S% N9 d, ~# ALarge sample test, 大样本检验
8 L$ \9 _3 A& L1 q5 q" e) o% |6 bLatin square, 拉丁方& L$ \# a! y: J+ n: j0 C1 j! u5 q
Latin square design, 拉丁方设计
4 _& U8 j1 I/ xLeakage, 泄漏 k* x9 |; N; Y% k9 M
Least favorable configuration, 最不利构形
4 a1 }- I! C8 g) x; gLeast favorable distribution, 最不利分布 x4 e' ?5 c3 J% x
Least significant difference, 最小显著差法( l$ V* [* [3 J( i9 S
Least square method, 最小二乘法, r' D( {2 n8 ^: e0 N( \
Least-absolute-residuals estimates, 最小绝对残差估计
0 k* w' I* u1 x5 O1 XLeast-absolute-residuals fit, 最小绝对残差拟合
9 ~1 F8 k+ `0 A8 xLeast-absolute-residuals line, 最小绝对残差线
# t0 [! L! u _Legend, 图例5 B8 g1 }2 S) F3 E! ?3 |
L-estimator, L估计量2 h- a, k" q) p* Q& S& @- E! D2 a) k9 U
L-estimator of location, 位置L估计量
1 Z3 [* Z2 o, Q) iL-estimator of scale, 尺度L估计量- G' ]; Q" U( a3 L8 G7 J4 p0 ]% ^
Level, 水平! j! p: F! f2 r! q. K
Life expectance, 预期期望寿命- z& z1 w! b( g8 D7 }
Life table, 寿命表7 I7 X4 [ `5 [+ O1 `
Life table method, 生命表法
' D2 T9 {8 `! R- mLight-tailed distribution, 轻尾分布% a! r9 I5 u( t, R. l5 w( G
Likelihood function, 似然函数) G4 h! A2 y( i, F+ G' S
Likelihood ratio, 似然比# W. z% N5 u5 g
line graph, 线图( L4 F/ h; G: ^# H B
Linear correlation, 直线相关5 n/ P+ G* Z+ R: L% y
Linear equation, 线性方程2 G6 D T8 j r
Linear programming, 线性规划
; ]( h5 f& N8 cLinear regression, 直线回归
k9 l8 h1 p" y* b- k# R0 k& K ^Linear Regression, 线性回归
& D o/ I& T0 m, F# ~Linear trend, 线性趋势( O. P2 } Y+ ?) C6 d
Loading, 载荷
7 {% s7 U6 o7 [0 kLocation and scale equivariance, 位置尺度同变性
" b/ P# L( p" {Location equivariance, 位置同变性
: e2 ^7 Z7 Z7 o5 b8 eLocation invariance, 位置不变性+ v2 j Z3 f0 w
Location scale family, 位置尺度族
0 W3 ^ Y- i% h2 I; j3 WLog rank test, 时序检验
W& m( C; j9 l% G7 bLogarithmic curve, 对数曲线
0 {/ j6 V G& o. }$ m7 C) t& PLogarithmic normal distribution, 对数正态分布2 p6 [7 y4 K9 d% A( A8 T' V, v
Logarithmic scale, 对数尺度
1 O0 x0 d; E( g7 q1 `) z. JLogarithmic transformation, 对数变换
1 Y4 x# a8 {( l/ j2 n$ tLogic check, 逻辑检查
1 H) E' p+ f' @) H3 jLogistic distribution, 逻辑斯特分布& b& h# ~) U' X: n8 v6 F
Logit transformation, Logit转换3 G! ?- y2 |2 |$ M; A5 w
LOGLINEAR, 多维列联表通用模型
6 v' b# w: t3 p- H/ d6 ~Lognormal distribution, 对数正态分布1 k6 D: V+ Y/ u C/ @
Lost function, 损失函数2 i9 l% f# P1 _/ w2 ~" S& F$ ~ \
Low correlation, 低度相关. Y1 o+ Z( l/ g4 b; F$ s7 P+ q
Lower limit, 下限' x9 T D7 j3 p. S
Lowest-attained variance, 最小可达方差
E4 C0 C3 u# j6 V& J3 z$ ]LSD, 最小显著差法的简称% X& O- |8 ~1 S) l+ \% i
Lurking variable, 潜在变量
; J O( K) F1 {9 c* k* CMain effect, 主效应
. g* A, h, ^: Y, x: | aMajor heading, 主辞标目
3 K4 b4 Q( I0 LMarginal density function, 边缘密度函数* l, S' `, ~% f- m0 d# _/ n
Marginal probability, 边缘概率- e! L3 C* W8 P+ x
Marginal probability distribution, 边缘概率分布# ]0 ]; H: T/ R# S5 C
Matched data, 配对资料. J# x, Z* m w* D1 L% g3 \
Matched distribution, 匹配过分布( \& W2 U6 |% v, y- t/ Y& Z
Matching of distribution, 分布的匹配
) y7 Z" c ^, k* C2 T5 `Matching of transformation, 变换的匹配% u' T' {: k* r/ k! v
Mathematical expectation, 数学期望
: \, P" e% e$ ?Mathematical model, 数学模型' {2 W* k, h T/ h" a6 Z; F8 m+ _
Maximum L-estimator, 极大极小L 估计量
% x# i( w! J$ `: }* I, [! VMaximum likelihood method, 最大似然法
0 m6 {. Z' @! N( bMean, 均数! m6 p1 L# z$ p* f7 L
Mean squares between groups, 组间均方
: G6 f* Q. o; xMean squares within group, 组内均方* q# a& ` o) j$ r
Means (Compare means), 均值-均值比较
" }; o- {. ~4 @$ G& T6 p3 GMedian, 中位数
' b" O9 K' B1 g" C, [Median effective dose, 半数效量
0 c; }3 {3 H' _9 J: M, lMedian lethal dose, 半数致死量& g* v* S" D! I% J
Median polish, 中位数平滑" t1 @3 G% Q3 E6 P/ T2 P" p
Median test, 中位数检验4 y% G% \0 L+ g$ T
Minimal sufficient statistic, 最小充分统计量3 U7 Z+ N4 }) \3 N, p$ w
Minimum distance estimation, 最小距离估计3 d! Q- a/ u0 ?: ], h# m5 L
Minimum effective dose, 最小有效量
4 R3 C! H F& E0 x' ?4 YMinimum lethal dose, 最小致死量
( C3 t& J5 d! vMinimum variance estimator, 最小方差估计量
- c7 G# D* N$ v: p0 l' r& \MINITAB, 统计软件包3 @6 L2 w7 Z7 a* {
Minor heading, 宾词标目
$ X D) j6 T8 R' ^; hMissing data, 缺失值0 z: Y. v9 H4 @7 g( C
Model specification, 模型的确定3 h4 |+ w% }9 U: E( Z
Modeling Statistics , 模型统计
3 X1 Z4 [! u3 @8 T+ P' PModels for outliers, 离群值模型
0 {# r" \9 y0 r+ }% ?1 m# |Modifying the model, 模型的修正: H& z8 |+ |8 V
Modulus of continuity, 连续性模
5 M0 P, ` Q: U) a1 G/ IMorbidity, 发病率
% a/ U& [6 ~5 J8 a$ z- K5 D( AMost favorable configuration, 最有利构形) k4 m. j1 C: o' c' a6 u7 Y/ ?6 `
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
" N! i- h' r3 Q* \" QMultinomial Logistic Regression , 多项逻辑斯蒂回归
" X) _- J; j: ^6 XMultiple comparison, 多重比较4 W" a7 e. \/ s) l
Multiple correlation , 复相关
" |/ q4 {8 W: d" [Multiple covariance, 多元协方差
$ n- t7 g3 ~0 k& [+ D0 U1 FMultiple linear regression, 多元线性回归 I+ S1 ?3 J6 ~6 J% f
Multiple response , 多重选项/ E' z( n4 g2 l$ G
Multiple solutions, 多解
+ D! j1 y' _9 tMultiplication theorem, 乘法定理
0 ]" @; F7 Z. m/ hMultiresponse, 多元响应
3 d1 {4 D4 E2 F7 p! k/ k T% I( S# zMulti-stage sampling, 多阶段抽样
1 `* Q, r/ [, `3 g% l2 m% S8 IMultivariate T distribution, 多元T分布0 [! t; U- u& A6 \2 i. C
Mutual exclusive, 互不相容
, e& S0 w0 W7 Z# [1 dMutual independence, 互相独立' o& L* b, |; _; m3 e( c* j0 t
Natural boundary, 自然边界
/ u6 m x/ s/ ~% sNatural dead, 自然死亡% ?2 o7 M& S2 z- p" R
Natural zero, 自然零
6 f% W9 X/ i4 C3 S- B- V. }5 iNegative correlation, 负相关7 O/ H+ ^- i$ w
Negative linear correlation, 负线性相关
! ]$ |6 n- @# {6 v0 b- w1 tNegatively skewed, 负偏! n- _: I/ x/ F% v7 e
Newman-Keuls method, q检验
4 D5 J% Y6 z Z& a7 Y' J3 ~3 }NK method, q检验7 x* e( C& v2 g# T' r
No statistical significance, 无统计意义6 M/ V4 K2 C, Y9 t; e
Nominal variable, 名义变量% u% A9 K( o m9 C
Nonconstancy of variability, 变异的非定常性" J- Z3 F8 _% y! A* b
Nonlinear regression, 非线性相关2 _. q7 v. @6 y2 j0 r
Nonparametric statistics, 非参数统计: R1 z, w: D" n+ ]# ?( e
Nonparametric test, 非参数检验
0 E0 D4 {$ B" e# `" TNonparametric tests, 非参数检验
4 Y$ Y9 g! J' x* R4 n% u5 {Normal deviate, 正态离差
4 d( b: V" ^5 w0 W% DNormal distribution, 正态分布
1 y0 W6 s; @- }Normal equation, 正规方程组
9 `2 I" W3 f$ g1 q& U G4 l" mNormal ranges, 正常范围
$ Z* O) H! \0 R/ N5 x& c' x# bNormal value, 正常值* G9 Q+ X! y. \; F0 _$ R- o# o1 K
Nuisance parameter, 多余参数/讨厌参数* I( y& U! y' ]3 ^4 A) c @$ {
Null hypothesis, 无效假设 : I W5 f: ]" f! z# ]/ W! M
Numerical variable, 数值变量" J! X; d# ^; |1 k
Objective function, 目标函数
: k; `: S) P1 O nObservation unit, 观察单位
! O0 D" a9 X( O6 x' S7 G3 sObserved value, 观察值 `# [% u2 o+ w. Q2 C i
One sided test, 单侧检验
3 ~4 r9 i9 V; a/ MOne-way analysis of variance, 单因素方差分析
8 X+ d3 z, k, e4 A6 `2 QOneway ANOVA , 单因素方差分析, r8 {, T5 i% a
Open sequential trial, 开放型序贯设计
2 `1 v( y! C& \Optrim, 优切尾
/ `8 J1 F3 T D$ E4 J0 ROptrim efficiency, 优切尾效率
, L% K6 L, l0 w; p6 WOrder statistics, 顺序统计量
& k; r2 U7 f% b' @4 POrdered categories, 有序分类, D, T$ Q( M/ |& A$ P0 K# W$ A1 J
Ordinal logistic regression , 序数逻辑斯蒂回归
* V* `* d l( H3 v( Q( S% IOrdinal variable, 有序变量
5 V) l T- x& c1 B( Q3 oOrthogonal basis, 正交基
; K H1 M1 C/ a& p. E7 i6 Z+ \( N3 UOrthogonal design, 正交试验设计
, M1 r( X/ _; p) t9 ROrthogonality conditions, 正交条件
; B* G1 t* I) XORTHOPLAN, 正交设计 . F, _# q' T g0 f& _; n, ^
Outlier cutoffs, 离群值截断点2 F# {! d Y9 T x
Outliers, 极端值
3 l1 _: Z+ S$ |4 G3 C/ pOVERALS , 多组变量的非线性正规相关
! {# k; S: y/ l+ H/ ?Overshoot, 迭代过度
# e* N* D+ p5 K, APaired design, 配对设计2 z _7 M. U5 W; \# u4 j2 H7 B
Paired sample, 配对样本3 {% s- G9 f. D: S, Q! r8 b
Pairwise slopes, 成对斜率
; N/ A( M1 z- R' z. p% zParabola, 抛物线
7 `4 x% ^5 g* e0 ~Parallel tests, 平行试验
( Y6 n( c4 l+ N. i& \Parameter, 参数' |3 w$ m) u# { W! s2 P
Parametric statistics, 参数统计
! L9 n* q4 @, {7 t, j+ hParametric test, 参数检验
3 a% ]1 V, \ P2 s- I1 d! GPartial correlation, 偏相关- O4 n1 I9 `& Q* e
Partial regression, 偏回归
7 @+ A1 k+ v- `Partial sorting, 偏排序- B. h& Z9 W& z
Partials residuals, 偏残差
4 U9 {1 S# {7 w3 s) P0 u; JPattern, 模式
; X9 Z9 H1 y, o! I( x1 ]+ e5 iPearson curves, 皮尔逊曲线* K2 U& o4 Q9 b0 @: C; q1 i
Peeling, 退层# O; Q& M9 a7 i4 z9 I
Percent bar graph, 百分条形图# d% E$ K' K- ~
Percentage, 百分比! p6 F+ z& w( G" t) @# v P
Percentile, 百分位数
6 y; @ F9 ?" g) r7 P( jPercentile curves, 百分位曲线6 ^, ?- G- G3 Y
Periodicity, 周期性
8 X8 t: p/ |% u* `* e& F {! b* t( `8 zPermutation, 排列+ |* e T/ |0 F: I6 u E
P-estimator, P估计量# g3 w3 r+ ^* R, o3 F) _& e, U, V
Pie graph, 饼图; `- e" \7 ?6 r0 i
Pitman estimator, 皮特曼估计量
$ ]: ~# {2 \ G, o; vPivot, 枢轴量) C5 g3 x9 h8 N4 V
Planar, 平坦# j6 [* e2 |/ n g0 B1 n
Planar assumption, 平面的假设4 |3 O3 z/ J% U0 k) s
PLANCARDS, 生成试验的计划卡
$ D3 D& Q* |) Y) V* r- P$ JPoint estimation, 点估计
& h9 C5 e5 h. Z. bPoisson distribution, 泊松分布
" t7 d# E [. S+ J/ \Polishing, 平滑) y5 u7 v8 D2 G N# N
Polled standard deviation, 合并标准差
( v# b9 a1 l+ K( ]' r* ePolled variance, 合并方差
& e0 k$ G1 z- M: ~, o4 oPolygon, 多边图
% s1 p H4 Z& J( VPolynomial, 多项式
6 R8 }) \7 z! n4 Z) aPolynomial curve, 多项式曲线
; u+ F# @1 K+ F# _! y7 bPopulation, 总体
0 S6 }; Z# \/ A- @1 A* KPopulation attributable risk, 人群归因危险度
" N2 n1 m4 L( E" o( R$ W8 C/ HPositive correlation, 正相关
- G L9 \; a# W1 `- g. }Positively skewed, 正偏
0 X+ E" P* C$ I2 UPosterior distribution, 后验分布/ b3 m& m4 T) W7 q! E/ W7 r7 r
Power of a test, 检验效能
C/ s8 _0 }! w5 _Precision, 精密度) s/ W; N- E, t% M7 F8 E9 p
Predicted value, 预测值8 }0 S+ q6 |6 Z8 v. P% v
Preliminary analysis, 预备性分析
' s) |! `. H$ J: K; h+ bPrincipal component analysis, 主成分分析
1 v7 s8 v7 Y2 |0 ?: d' YPrior distribution, 先验分布
9 Y8 [3 }' I1 b3 P4 m4 UPrior probability, 先验概率
: M9 y. A9 o J, V M: e. WProbabilistic model, 概率模型! `1 x" H( D8 v6 H; k
probability, 概率) D7 b4 }: b9 O O
Probability density, 概率密度) I, \" T" z4 a: r5 c
Product moment, 乘积矩/协方差
* H9 W2 Q& r* H( v! j' q0 iProfile trace, 截面迹图
1 e9 m+ g8 ?/ d0 q+ J6 X# ]Proportion, 比/构成比
8 q7 d. W, j5 T- lProportion allocation in stratified random sampling, 按比例分层随机抽样
( `1 o' b+ [" Y- ~Proportionate, 成比例1 E# i6 p. j7 w' j& J
Proportionate sub-class numbers, 成比例次级组含量9 C I* z! j4 A
Prospective study, 前瞻性调查8 ^4 ^* t1 ^! \7 ]) j; t
Proximities, 亲近性
" B6 v- L. s( KPseudo F test, 近似F检验
: x, a6 ~9 f" PPseudo model, 近似模型
1 x: z F3 C( Z. h) PPseudosigma, 伪标准差
/ q9 n6 J& \4 }. h0 ^7 q& xPurposive sampling, 有目的抽样/ T( t( w) ^! J7 ~+ D/ @+ Y- S5 j0 }
QR decomposition, QR分解2 C* |9 [# X7 J/ u. g! @3 ?
Quadratic approximation, 二次近似! h3 R2 A) F/ ]3 k I. J+ k" w7 E0 L
Qualitative classification, 属性分类
6 g: s9 S. a3 O- vQualitative method, 定性方法
8 k, Y" O' K/ Z+ Z: o( |Quantile-quantile plot, 分位数-分位数图/Q-Q图' I$ D* X3 N( e
Quantitative analysis, 定量分析1 \& o9 ?9 ]& O
Quartile, 四分位数
$ ?; y9 A8 ~3 X5 M" X- q" [Quick Cluster, 快速聚类
9 G1 u2 |4 b& Z. O+ c- o; M0 `- |Radix sort, 基数排序0 k+ ~- K4 W+ h# B( q- q
Random allocation, 随机化分组" U- j' F3 i, ]7 o
Random blocks design, 随机区组设计0 H7 `( F6 C, T+ v! Y+ b) ~3 l
Random event, 随机事件1 j9 H' C9 O% x$ x
Randomization, 随机化9 y5 v k! |+ F
Range, 极差/全距
$ i- Z/ u/ m; iRank correlation, 等级相关; {& b3 v, O' l
Rank sum test, 秩和检验
7 N8 ?- ?! U% a0 ?+ T% w* r# lRank test, 秩检验" P5 A2 ~0 p) Q s
Ranked data, 等级资料
0 I9 b/ E, L4 m# |; SRate, 比率( o! n2 q N: z) Z
Ratio, 比例6 L7 \7 ?" G# c! Y
Raw data, 原始资料
) G. _% n: ~6 _3 {9 J) |' h5 jRaw residual, 原始残差
' r0 i, C4 {7 o* `4 Y. M/ JRayleigh's test, 雷氏检验9 O! g; s: {) \
Rayleigh's Z, 雷氏Z值
4 q' P% m3 C6 S y" Z) q6 `; zReciprocal, 倒数" e+ ~$ T- r9 R6 P1 [* e
Reciprocal transformation, 倒数变换9 f8 T" g( Q* ]8 c; M
Recording, 记录) r% O& R) n! w
Redescending estimators, 回降估计量
2 [+ j6 U" g( r0 B& B/ B" BReducing dimensions, 降维7 F2 h0 r; _7 B4 U/ s5 C T8 r
Re-expression, 重新表达! L2 e1 P9 a Z( T$ G& {( F
Reference set, 标准组0 }( Z$ E; Y# I% s
Region of acceptance, 接受域+ u) @$ ?9 I0 w( V' z& u! U
Regression coefficient, 回归系数$ u% w8 p. d) E
Regression sum of square, 回归平方和) k# |. b0 [9 _% q. l! Q9 {$ ?
Rejection point, 拒绝点: V+ z* R+ s0 H7 ?/ S
Relative dispersion, 相对离散度" o5 E+ x( j* S# d' e' n
Relative number, 相对数
5 w$ s) s7 {9 M" C7 eReliability, 可靠性
. g6 z' |7 D8 {! P, oReparametrization, 重新设置参数, C7 M: [7 k! Z, B
Replication, 重复8 ^3 u% g8 J, a9 S4 p
Report Summaries, 报告摘要
+ ?( P3 ]4 F8 ^4 ^. I1 @: [Residual sum of square, 剩余平方和
7 e5 B' x8 @/ ^% W4 t& FResistance, 耐抗性
! c" w" k& ~7 h9 ?: mResistant line, 耐抗线. |0 w- Z9 ?: T, W
Resistant technique, 耐抗技术2 i6 W; q) n9 M, `1 ]
R-estimator of location, 位置R估计量( T+ m( N) w0 o
R-estimator of scale, 尺度R估计量
* G# h) b, ~' ?; @$ Q/ ORetrospective study, 回顾性调查$ h/ v- W1 z6 U3 R. u9 F1 O! J
Ridge trace, 岭迹
) I$ M+ U$ q! s1 D5 dRidit analysis, Ridit分析+ B, F4 L: t' M4 I
Rotation, 旋转! x/ S8 z4 O( I6 L1 L) ~9 P
Rounding, 舍入
$ [; k) m m! {; gRow, 行
, k" @% c9 i5 Q7 L# J9 J8 |Row effects, 行效应
8 l& }& l* x( PRow factor, 行因素 R3 _; M5 B6 j$ e
RXC table, RXC表3 L" b, S2 }0 [/ H
Sample, 样本! ^- [4 a$ H0 I3 Z
Sample regression coefficient, 样本回归系数
" D% c d/ [' b3 k/ `! V) t9 ySample size, 样本量. y" i/ _3 I! w3 X
Sample standard deviation, 样本标准差
0 s2 R' @1 P9 Q6 [Sampling error, 抽样误差5 c: i3 p* g* @; h5 F C! x
SAS(Statistical analysis system ), SAS统计软件包" _2 U Q6 E$ w
Scale, 尺度/量表
4 z$ y! ?# I7 J( ^9 @ z. e+ bScatter diagram, 散点图
4 s6 u% | m2 Y7 x0 ZSchematic plot, 示意图/简图9 l8 Q. f+ ?$ B* Z+ v
Score test, 计分检验
* j- [1 N3 j$ b) [0 q- v! [: ~1 PScreening, 筛检! _. t% l! e* z7 U Z
SEASON, 季节分析
0 [& x, l& o% y1 N7 ^7 s1 H8 N5 ^Second derivative, 二阶导数! [1 [1 a0 m) C9 h* ~
Second principal component, 第二主成分
' H5 `4 B7 x0 [# S" XSEM (Structural equation modeling), 结构化方程模型
# u* i/ L5 G9 `( q5 [" _" ASemi-logarithmic graph, 半对数图# y2 v1 c* V r8 D7 C
Semi-logarithmic paper, 半对数格纸' d0 B' [0 K( I" r. T) C
Sensitivity curve, 敏感度曲线, y% N9 U- G( J6 `5 G! L( v
Sequential analysis, 贯序分析3 z) n' N; O) n1 N& a2 F
Sequential data set, 顺序数据集
6 e. W( l3 G9 l* Z8 h: L, zSequential design, 贯序设计
4 E* h( L+ I* l, S$ ?( `. r1 m: JSequential method, 贯序法
) k) T7 N" U Z% w* g9 d" VSequential test, 贯序检验法
A, r/ R6 [8 ~4 A# f- oSerial tests, 系列试验
1 {' C8 H. l) UShort-cut method, 简捷法
' b% Y) J5 c# MSigmoid curve, S形曲线7 U( K" K2 H2 r- C2 W
Sign function, 正负号函数
- a0 Z' D7 E; t3 r6 N5 ISign test, 符号检验
) \) q5 \* }/ f* Y) ^8 ?6 sSigned rank, 符号秩$ x" Y! p, |8 i: A
Significance test, 显著性检验
. N1 Y# `$ r5 S, ]Significant figure, 有效数字4 k, M- m0 M; \7 }8 G. L; F. B/ q% ^7 O
Simple cluster sampling, 简单整群抽样
% M% R( A5 @5 E1 H- JSimple correlation, 简单相关
4 e& [- t# p- ?' J2 A: z- N' kSimple random sampling, 简单随机抽样1 i- A6 K2 j8 g4 {- r! M0 |
Simple regression, 简单回归7 p) m- r; y6 R1 z1 W
simple table, 简单表
7 M3 w& p# q: V \/ g+ w/ jSine estimator, 正弦估计量
' i0 X$ [. @6 j' A- RSingle-valued estimate, 单值估计% h9 m; G& o0 X7 F* ?
Singular matrix, 奇异矩阵5 O: G \6 ^' D- y' B3 [% F
Skewed distribution, 偏斜分布
$ F" h1 F% Q( N, nSkewness, 偏度3 |' S( E/ e$ l3 G( a9 |
Slash distribution, 斜线分布
5 |& I, Y V0 ~* C0 I6 e2 j; C& LSlope, 斜率
6 I9 H! t: ]: x+ b2 {8 c" zSmirnov test, 斯米尔诺夫检验7 L; t j2 V5 |9 w
Source of variation, 变异来源$ i" C. C, z m$ @5 L
Spearman rank correlation, 斯皮尔曼等级相关
- o! X$ c# e* Z+ {" L( m. j) PSpecific factor, 特殊因子2 i$ E7 T' C( r; E# a" k9 V: R
Specific factor variance, 特殊因子方差
5 }/ ?! v5 B; s6 `" A( U) u: ISpectra , 频谱
9 P) x; J4 A/ k* w. A) kSpherical distribution, 球型正态分布" K. O7 x) a* p6 H1 b7 W7 B
Spread, 展布
! q1 K& q3 F+ A& `3 j2 n# cSPSS(Statistical package for the social science), SPSS统计软件包% M; V8 C* Z6 i4 I* W
Spurious correlation, 假性相关
& {8 i9 v/ N: V9 J/ X* b: k/ e7 fSquare root transformation, 平方根变换
" e: o5 |3 G3 Z" z* ]9 r- M# PStabilizing variance, 稳定方差
, B& j5 Q8 ]. cStandard deviation, 标准差
& |4 a! m6 E/ u5 ^9 PStandard error, 标准误
5 B! M$ a3 p/ m9 Z3 P7 sStandard error of difference, 差别的标准误% Z/ P* @% M0 c% J1 N1 ?
Standard error of estimate, 标准估计误差3 W( n9 ], W5 A' R' p9 U, H
Standard error of rate, 率的标准误& f% v' ~$ w$ r. a# C8 I! N6 s% ^7 s
Standard normal distribution, 标准正态分布
6 e W5 s/ I) ^, l# H) n7 xStandardization, 标准化
% `, P' I4 c9 K. a3 J* z! JStarting value, 起始值
: R! I3 E. @. r) k3 ~: `Statistic, 统计量9 r: {) J% F0 |# ^+ y! I
Statistical control, 统计控制! ~$ e& s) I5 h8 A8 ?
Statistical graph, 统计图6 M$ h5 |& `1 K1 v
Statistical inference, 统计推断
4 h `7 l+ I) K P, bStatistical table, 统计表
9 _( B/ Z- R- Y; y' z! i [; YSteepest descent, 最速下降法% p8 ~/ v4 ~0 O/ X" j
Stem and leaf display, 茎叶图& R7 b% ?2 p5 a1 X1 `* V# r* `
Step factor, 步长因子
# s' B! k( F1 U9 c0 T% kStepwise regression, 逐步回归
1 W+ a+ o0 o" T* X% h, u/ zStorage, 存& n% l" N" s- o) `3 Z
Strata, 层（复数）) X' N8 i1 E/ K+ Q" l$ A+ K: P, z
Stratified sampling, 分层抽样
5 [6 ?& q/ G* Q$ i6 lStratified sampling, 分层抽样) m4 a2 }8 Z B Y- g
Strength, 强度: S+ ]' Y& N+ M' Y
Stringency, 严密性
/ g8 G [ s2 F) i6 ^5 vStructural relationship, 结构关系
) | _0 r! l1 I$ I7 q" s4 HStudentized residual, 学生化残差/t化残差! m! y& d* Q! F8 ~
Sub-class numbers, 次级组含量
' g0 `' T" [6 L, HSubdividing, 分割. T/ }# a4 X* j; r8 G1 g# }
Sufficient statistic, 充分统计量
% {' m* W# h- q! d( hSum of products, 积和) |* z. ^/ C# ~- p, f( q$ H
Sum of squares, 离差平方和2 F# i% m5 e% k( o4 |
Sum of squares about regression, 回归平方和
! R3 b* Q v% o2 CSum of squares between groups, 组间平方和
4 }( D; F+ [ dSum of squares of partial regression, 偏回归平方和2 l8 v8 Z/ P6 J& G
Sure event, 必然事件
+ c5 E& M, c) W) o) q0 |Survey, 调查1 v" h0 |; @% L+ ~# [
Survival, 生存分析
6 G( K( L& E9 L$ `" vSurvival rate, 生存率
6 G! a* p/ Q3 B! w2 w4 ]% NSuspended root gram, 悬吊根图# ^! L& S: V3 B* _, W' L d
Symmetry, 对称
: S+ i5 _2 k! U& a3 v6 CSystematic error, 系统误差& ~8 ?4 z- b8 u2 C+ P& L3 }
Systematic sampling, 系统抽样
8 I0 W$ Q9 P$ r6 }! kTags, 标签
7 c4 ]8 u4 Z, |/ UTail area, 尾部面积
! K. p! p' \1 M; Z4 lTail length, 尾长& X) I' J8 ^3 \% K \( @' i5 z
Tail weight, 尾重
3 `) B6 Z9 I5 j1 k) wTangent line, 切线# k: H/ p! ~ N4 u- q
Target distribution, 目标分布8 @7 l2 h5 B- p% R ~* q2 r- v
Taylor series, 泰勒级数6 {" B+ N: O! z* ?: k+ O ^/ l- k" Q
Tendency of dispersion, 离散趋势: C; G+ @& B" f& o8 c) J
Testing of hypotheses, 假设检验# b+ [0 u: v/ ?' q
Theoretical frequency, 理论频数, {/ V y2 E9 v! ]* [1 v. ]
Time series, 时间序列
2 Z6 o6 W/ E9 G' a. a8 A/ wTolerance interval, 容忍区间+ R, J$ V0 C. W h: t
Tolerance lower limit, 容忍下限$ |+ o2 M6 u- [9 E- @5 g( H2 n
Tolerance upper limit, 容忍上限
+ j6 r- e# _ hTorsion, 扰率0 R. h; d) x2 u# {( h
Total sum of square, 总平方和
2 X* ~$ U" @8 A+ q, h( g+ ZTotal variation, 总变异
0 w4 K7 E* a. O9 F# jTransformation, 转换
6 v% W3 o+ g4 A6 g, R n8 z. \4 ZTreatment, 处理
7 r! O: z% j7 `* }Trend, 趋势
" v& z4 H$ I; |) H mTrend of percentage, 百分比趋势/ c$ [2 _' h$ H# ~
Trial, 试验, b4 R8 P) Y L: i/ e' X! h
Trial and error method, 试错法" ?9 j5 n) _ f' q% ]/ c, R$ _
Tuning constant, 细调常数! V2 a' Y- F( ~' o6 g0 p; ]
Two sided test, 双向检验
8 U- i( J& j m: X3 N% `/ {3 S& R8 ATwo-stage least squares, 二阶最小平方) h( o1 m1 [" B" ^4 N5 Z- l$ T4 a
Two-stage sampling, 二阶段抽样 ?; t) ^/ M2 V9 j3 F" W, _; `
Two-tailed test, 双侧检验: H4 i* F% b9 a9 g2 t. `
Two-way analysis of variance, 双因素方差分析
- a' z8 ] q' _) k6 r- d1 R9 xTwo-way table, 双向表
f. J( q) v' R9 D! t& IType I error, 一类错误/α错误& \, o( k. S0 p: ?$ i$ t2 V
Type II error, 二类错误/β错误% H/ z6 U" g1 ?" Z: _: }6 O
UMVU, 方差一致最小无偏估计简称
4 _5 y4 Q/ V# {+ F1 d$ S- @3 `) PUnbiased estimate, 无偏估计% a I* d5 w( O2 B1 ~
Unconstrained nonlinear regression , 无约束非线性回归( s$ y, F5 `, `% K3 ]8 b7 @7 w5 B+ f
Unequal subclass number, 不等次级组含量* K' E8 U; A7 N+ f+ l. M
Ungrouped data, 不分组资料
! S% B2 Y3 R1 O+ g# NUniform coordinate, 均匀坐标; |. B9 [* Z T" n9 k$ v) ^" f* O; ~' W
Uniform distribution, 均匀分布
0 D0 J3 I* n: S: HUniformly minimum variance unbiased estimate, 方差一致最小无偏估计: |2 R5 k! \/ Q* \
Unit, 单元2 q- n% `# D4 z/ B9 H# f
Unordered categories, 无序分类: d& `* E' C9 X
Upper limit, 上限
& v% h: M4 U- G& VUpward rank, 升秩
+ |' _+ x' p6 B! |# `; QVague concept, 模糊概念( @7 V6 @: A. L% L: ]
Validity, 有效性8 Q: q4 M# U; L" B( J c$ D
VARCOMP (Variance component estimation), 方差元素估计
( E4 }# } v2 _/ Q1 w6 z( `1 SVariability, 变异性
! l9 u# E0 W6 |) V1 y8 W, }Variable, 变量) S' B$ ]# y+ G2 ^# }6 z* g0 I! _
Variance, 方差- ]! d" `1 m3 i" Y
Variation, 变异, t2 U7 H9 D. Q6 w5 M3 G0 v
Varimax orthogonal rotation, 方差最大正交旋转: U! r+ w% p! g( w- q2 ^6 U; m
Volume of distribution, 容积& G* `* l1 F, N/ X! d0 x
W test, W检验
& {0 W+ U) G0 M, {$ i2 dWeibull distribution, 威布尔分布9 U) e, |7 z/ e' f
Weight, 权数
6 i6 R2 \3 A+ SWeighted Chi-square test, 加权卡方检验/Cochran检验* x) k# Q, z. c
Weighted linear regression method, 加权直线回归, o- o7 S1 d+ W& m2 ^$ b' r
Weighted mean, 加权平均数
( ~1 n' O5 w. k& QWeighted mean square, 加权平均方差
' q, A4 n3 Z* H9 K! WWeighted sum of square, 加权平方和 m: n& y" |% |
Weighting coefficient, 权重系数 H- d- i; \8 c, k6 |+ W( h
Weighting method, 加权法 & V9 r0 D. ~6 }6 A# r' I6 u8 w( L
W-estimation, W估计量* a# J, ?2 D6 C$ n+ B) q! f
W-estimation of location, 位置W估计量1 L8 p+ a, A4 b+ T+ j1 U" j* C z
Width, 宽度# x" j$ P" l2 Y4 h/ S& @
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
9 P4 @3 h* L& oWild point, 野点/狂点
0 W$ V7 L+ p9 O+ W0 ]7 b2 z% h% NWild value, 野值/狂值
7 ^7 x$ t. ?0 b# _Winsorized mean, 缩尾均值
2 Z1 D& K1 L R2 V- s0 HWithdraw, 失访 " y# }, A% m, B. L/ _; s
Youden's index, 尤登指数8 E8 w, B# v1 z) E; r0 A
Z test, Z检验8 g9 b* U2 ~* i4 t, L6 ? ~5 W# @/ B/ R
Zero correlation, 零相关
* i5 n3 Z' d2 R; { g4 _Z-transformation, Z变换 |
本帖子中包含更多资源
您需要 登录 才可以下载或查看，没有账号？注册会员
x
|
|李越老师直播间|清流社工网
( 苏ICP备19044186号-1 )
发表于 2009-1-6 22:05
