|
|
Absolute deviation, 绝对离差
/ v7 U2 U* h4 Z8 I2 I6 |; p OAbsolute number, 绝对数
! `0 L) D) K( M, m- eAbsolute residuals, 绝对残差7 h7 H1 l- ?* u1 v
Acceleration array, 加速度立体阵
" P! P3 d( j5 g- i( \" SAcceleration in an arbitrary direction, 任意方向上的加速度" u. l2 z, g) m# w$ O, \: e2 m0 d
Acceleration normal, 法向加速度
* i9 y: Q6 | s0 h- XAcceleration space dimension, 加速度空间的维数
2 \6 b5 u* o+ uAcceleration tangential, 切向加速度* W* S& R( t5 }; {* B8 ?2 R
Acceleration vector, 加速度向量6 J% d% _, O" J9 U1 n
Acceptable hypothesis, 可接受假设
! s8 g2 v* n) W4 D' d, |( wAccumulation, 累积
/ S7 k5 U+ g1 x& C- P! RAccuracy, 准确度2 d! J8 z2 m0 S+ `
Actual frequency, 实际频数
6 U+ M; C) S, }Adaptive estimator, 自适应估计量9 n( h% P6 C9 o8 L9 o, j: k
Addition, 相加
- H$ [: [- i6 g! rAddition theorem, 加法定理* `+ G4 o9 ]) d
Additivity, 可加性/ G/ b, P+ ~0 N# n2 ]' T# W' B
Adjusted rate, 调整率" O; u7 {# _$ m1 c
Adjusted value, 校正值
) c! i9 B' Y! S6 R' vAdmissible error, 容许误差5 t8 a4 ^$ U9 l9 Y5 r3 U
Aggregation, 聚集性
# s. h, A8 e& wAlternative hypothesis, 备择假设& a. `0 X) Z& |. ]
Among groups, 组间
9 e& o2 m. W fAmounts, 总量
% \2 {# B: c2 {/ O. \Analysis of correlation, 相关分析6 I! f, O% ]/ B7 O3 Q& C4 k
Analysis of covariance, 协方差分析
( s, S1 g `: P: vAnalysis of regression, 回归分析* ^7 |3 ?- f/ ~
Analysis of time series, 时间序列分析
5 W J: Y2 m- \/ t# E# g& `Analysis of variance, 方差分析
& [4 u7 r r3 j) d! I4 k8 n" O4 Q1 EAngular transformation, 角转换
! i5 o6 d# X0 a0 n9 |- KANOVA （analysis of variance）, 方差分析5 o; A9 @* g# ?7 V4 B7 q& t
ANOVA Models, 方差分析模型; K, l" M" y( Y4 y* i
Arcing, 弧/弧旋
" \8 @% q* A+ F: t4 XArcsine transformation, 反正弦变换
. x4 K2 ?% z; |8 U: V6 {Area under the curve, 曲线面积 R+ b+ V0 h) Y$ _* d0 w, K N
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 7 o6 C5 k) {9 [/ ?0 p
ARIMA, 季节和非季节性单变量模型的极大似然估计
: x- Q' ~# V7 T4 l. k, e0 e3 zArithmetic grid paper, 算术格纸& I* {; W- M6 w( s) Z1 m+ Y$ d$ x
Arithmetic mean, 算术平均数. x- }! O9 ^% F. I, n1 x
Arrhenius relation, 艾恩尼斯关系; C1 j& m# k! l
Assessing fit, 拟合的评估% S0 R; q, [5 H1 r0 `
Associative laws, 结合律
0 W8 K9 o$ z: k; ?Asymmetric distribution, 非对称分布/ U$ G9 ?! L* ~0 r1 k+ H
Asymptotic bias, 渐近偏倚$ Q) H5 k% t9 v" ~
Asymptotic efficiency, 渐近效率
4 H8 v. v/ @4 v' hAsymptotic variance, 渐近方差
1 q, {6 d* o1 @0 q. WAttributable risk, 归因危险度
J' e; h% f& dAttribute data, 属性资料) b2 A$ h6 ]3 {5 Y5 A- y" Z
Attribution, 属性! D; |& g3 {: a# j1 O7 \
Autocorrelation, 自相关8 [# ~7 l* K( y
Autocorrelation of residuals, 残差的自相关
* v g6 x W' R; F- g' rAverage, 平均数
( R/ X$ V7 ?, a. V5 m6 n- ~Average confidence interval length, 平均置信区间长度
( l- }9 E s4 N; r5 G* Z: WAverage growth rate, 平均增长率
: y7 a: g4 N0 T; H: ~9 [* XBar chart, 条形图
2 j9 `/ O9 }! I; T3 qBar graph, 条形图
, X5 w0 }8 ]+ k" u2 j+ Y4 nBase period, 基期9 U& E$ F7 r7 Z. m
Bayes' theorem , Bayes定理
% ~" W% G; r8 ~5 q+ s l$ g$ `Bell-shaped curve, 钟形曲线7 g7 r6 L9 n+ p1 t, X
Bernoulli distribution, 伯努力分布5 t) _9 @$ n% v- X0 I
Best-trim estimator, 最好切尾估计量5 ^) ?& i5 ?$ `0 Y3 T* K8 a
Bias, 偏性
/ G1 V* r" _# X9 G: Y4 }Binary logistic regression, 二元逻辑斯蒂回归
" S% E5 u g. e3 UBinomial distribution, 二项分布* q! y$ @5 g) D2 H6 c; h& x
Bisquare, 双平方
7 v; w0 _" N; DBivariate Correlate, 二变量相关
+ p; ~7 c; E/ YBivariate normal distribution, 双变量正态分布
( q3 N) g% u" `) fBivariate normal population, 双变量正态总体4 b* O# E, P) b. ]" v! J7 F
Biweight interval, 双权区间( |, x: x# d! [0 F* R! n$ w/ i
Biweight M-estimator, 双权M估计量' x: g$ y j( b. S7 Y0 d) U
Block, 区组/配伍组
* f3 F2 X+ q' `, \; ~5 L: ]6 NBMDP(Biomedical computer programs), BMDP统计软件包
6 R+ l8 t9 S7 c; U4 vBoxplots, 箱线图/箱尾图9 }/ l9 H3 O6 O V% F" Z* i1 t
Breakdown bound, 崩溃界/崩溃点
& ^, g+ K+ \" ]" J7 |1 Z! x! x! sCanonical correlation, 典型相关8 H' J% u# u, }2 V* o( s0 |# K2 J6 E
Caption, 纵标目
Z8 ^9 [ p" s0 B( q' |+ H) LCase-control study, 病例对照研究$ G& Y% _; J1 c( n! Y
Categorical variable, 分类变量
6 v+ y Z6 Z. l" X, Z/ K; kCatenary, 悬链线1 r9 U9 v ]4 A' ^; \$ m
Cauchy distribution, 柯西分布( q' i, [( s2 u$ N* k W3 f
Cause-and-effect relationship, 因果关系
4 J2 |* Z4 d& r- e( a# N+ wCell, 单元
5 w$ A' n; D9 O+ N+ OCensoring, 终检
" G: K h( r# a# Q1 \) v1 eCenter of symmetry, 对称中心7 t( H- Q B/ ~* O e( n
Centering and scaling, 中心化和定标
# n2 N* k8 M9 h; S0 oCentral tendency, 集中趋势
/ N* ?, B* |" V1 ^ N! o' l2 XCentral value, 中心值
* J8 Q% J$ a; rCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
5 }* U2 W1 _& ? w6 T" rChance, 机遇 q7 ?) l' K; [# j
Chance error, 随机误差
6 v& _5 n1 P- v! @5 j8 i2 jChance variable, 随机变量: |: J) Y" m# x
Characteristic equation, 特征方程
+ ~. d& N" d5 I7 h7 \$ ACharacteristic root, 特征根/ {: }" l4 P' |6 r8 I8 J
Characteristic vector, 特征向量; h- x0 H; \( T4 O) w8 [$ p0 p2 U$ T
Chebshev criterion of fit, 拟合的切比雪夫准则( ?$ Q' U, g! G
Chernoff faces, 切尔诺夫脸谱图
4 e+ F( e3 f5 I8 }: EChi-square test, 卡方检验/χ2检验
+ @1 X$ Y9 E# l+ Y9 n: NCholeskey decomposition, 乔洛斯基分解 c/ [! C+ t4 g
Circle chart, 圆图
9 y- S8 g; P) @( v% HClass interval, 组距
5 \( K5 l. z2 \3 `* C: ^0 u# N/ uClass mid-value, 组中值
5 D9 j W2 z% G6 a# z1 JClass upper limit, 组上限4 ?! x, U2 K1 E6 ^! N- w. g
Classified variable, 分类变量
4 n! |8 M8 I* f9 q. bCluster analysis, 聚类分析1 Y% F, p/ I- r2 e8 y, m* l/ b
Cluster sampling, 整群抽样
3 E. ~8 V& d# NCode, 代码" V, ]8 y; W% i, D/ _8 X
Coded data, 编码数据# P+ m: f, B8 I
Coding, 编码
" s% e7 ~! j eCoefficient of contingency, 列联系数
9 o+ X6 X3 e/ A* \# s, X# r' k$ iCoefficient of determination, 决定系数
- N a1 j8 j: Y8 vCoefficient of multiple correlation, 多重相关系数
+ O6 f5 W- `! P$ a+ D& j: UCoefficient of partial correlation, 偏相关系数9 F0 v q" k* }4 ^# ]
Coefficient of production-moment correlation, 积差相关系数
; }- U* ~) X: l7 t9 i+ |) P7 I; ]" pCoefficient of rank correlation, 等级相关系数
! ~# v. L; `5 h- RCoefficient of regression, 回归系数( K) _/ p" U6 p5 m; d2 U
Coefficient of skewness, 偏度系数
- @6 W- G" r: A6 Z( MCoefficient of variation, 变异系数1 z, }; i6 c8 s. q
Cohort study, 队列研究
1 e# X- R6 V0 LColumn, 列
! I8 c' m g: y7 b2 x! ]$ kColumn effect, 列效应6 J/ B( h; S1 s. p6 G5 G6 @# l
Column factor, 列因素; C5 C1 S8 J8 {- A. ]' e9 H
Combination pool, 合并
3 Q3 f# w. K5 b! O( ?0 G7 n6 \Combinative table, 组合表
3 N5 T% I4 t$ _* i6 [' {# jCommon factor, 共性因子
& v" Q' n# D" L- [% iCommon regression coefficient, 公共回归系数
o5 F- v3 H9 @8 p) t+ OCommon value, 共同值
8 F" F3 h6 n* ?8 cCommon variance, 公共方差
" y6 d1 O+ k/ M$ d; J% U- F7 m, ?Common variation, 公共变异+ q; Z V. J% p+ ]
Communality variance, 共性方差
5 o9 U' t( O2 v5 i1 S4 N7 ?; rComparability, 可比性& r- G$ H: {2 H0 L/ t" C6 m# \
Comparison of bathes, 批比较
' G$ T# Y8 [; a* n9 LComparison value, 比较值
6 T7 ~& G# R& l9 pCompartment model, 分部模型3 U! m- c) q6 b3 O
Compassion, 伸缩2 B9 s" W' e1 g
Complement of an event, 补事件% o- I+ c8 E! k" H$ _8 Q& }
Complete association, 完全正相关! K0 S( O3 B3 ~7 e( D$ ?7 j! T
Complete dissociation, 完全不相关+ I, T! h' m. U4 U8 ~
Complete statistics, 完备统计量! i, D5 ~- s( @- ~; X- Z
Completely randomized design, 完全随机化设计& |$ P0 R7 e1 p) h' _0 Y! y
Composite event, 联合事件
* e; q! N4 i7 b# _) aComposite events, 复合事件 [; m! z) M* N' S* g; h
Concavity, 凹性; x: v( o( N) I3 q: f9 D; E6 |
Conditional expectation, 条件期望+ f' H+ _8 t" s3 I- M: t- P% S
Conditional likelihood, 条件似然
4 h- E* ~1 L0 h' w tConditional probability, 条件概率3 g+ {# G6 H/ |4 ?
Conditionally linear, 依条件线性
1 o2 E' ^. t- ^- ~' DConfidence interval, 置信区间' K0 K: w5 }8 ?9 u
Confidence limit, 置信限
$ ?. |, H# c) F9 NConfidence lower limit, 置信下限
" e& k* u# s4 ^. f* h; T8 LConfidence upper limit, 置信上限
' g. h& b: i; l3 L+ A) m/ hConfirmatory Factor Analysis , 验证性因子分析, ]* T$ ^$ C/ }
Confirmatory research, 证实性实验研究
& X1 F- x% F, y$ K2 m6 _# aConfounding factor, 混杂因素
5 f3 k% |4 J* sConjoint, 联合分析
9 D g7 y( d" _9 gConsistency, 相合性" \/ h1 I. |: W
Consistency check, 一致性检验
0 M2 u5 `2 D0 Z* YConsistent asymptotically normal estimate, 相合渐近正态估计' c; j' _9 m8 j8 h2 j' B9 m
Consistent estimate, 相合估计% H! k6 s- U/ F" E
Constrained nonlinear regression, 受约束非线性回归1 y6 c1 B: h. M1 `- f
Constraint, 约束
: @1 B4 M9 w6 y5 _/ l( c5 u! h4 cContaminated distribution, 污染分布
! R0 B1 N7 \# Y/ }1 V8 _Contaminated Gausssian, 污染高斯分布7 I. Q( M" b/ J% X' x
Contaminated normal distribution, 污染正态分布% j( k4 ~8 E5 E' k2 J
Contamination, 污染
. o0 i/ r- L% N9 V1 Z! j! h0 @Contamination model, 污染模型
7 u" ]5 d* ?$ k: i3 s. A# b1 gContingency table, 列联表7 x! Y5 g1 R1 q w
Contour, 边界线
. f: S' O8 C5 p# q; aContribution rate, 贡献率& q5 a4 e! W8 Q+ d
Control, 对照: I+ t8 o% o x. Z" W/ o% ^
Controlled experiments, 对照实验
" }5 u2 I0 n+ K8 `' C3 I4 D6 aConventional depth, 常规深度
; D4 B" U: e w7 v9 S+ ?$ D$ ^Convolution, 卷积4 r4 _! h3 o* C5 b7 O1 @8 ]
Corrected factor, 校正因子
' T* e+ b. n$ \) x/ D6 aCorrected mean, 校正均值
7 ~0 R, X; V3 ?" UCorrection coefficient, 校正系数
# j& R0 J4 {& @) J. dCorrectness, 正确性
. D/ P& }+ }; E0 s4 ?' cCorrelation coefficient, 相关系数
0 P) e+ c8 f" t" c# yCorrelation index, 相关指数( U* _1 z" d" ?+ f
Correspondence, 对应
: M" U4 S$ j5 f# N$ n* fCounting, 计数
7 B8 Z! H9 I4 E2 |5 B4 ^- Q* GCounts, 计数/频数( X0 X$ B- q- i
Covariance, 协方差
$ `, s9 h3 G! J; m( r( g$ UCovariant, 共变
8 j6 L: L" o: @Cox Regression, Cox回归- R" C- E2 M: p& Y& K; o' K
Criteria for fitting, 拟合准则& B' Q4 x" ^8 e4 p% b/ c3 ], `0 o
Criteria of least squares, 最小二乘准则
# w, r, R& Y2 |Critical ratio, 临界比+ b" p2 C; I, H; a4 T
Critical region, 拒绝域( Y$ P5 ]+ V" M0 r
Critical value, 临界值8 {' Y9 ~0 H! @2 x. q$ [7 r
Cross-over design, 交叉设计
' q/ {% g5 O0 O3 l4 a4 {0 RCross-section analysis, 横断面分析
+ j: u4 I2 Y/ r9 j4 mCross-section survey, 横断面调查
7 L7 e! _$ `, _) i/ h* w5 q% T6 V1 `Crosstabs , 交叉表
8 f e8 ?1 A1 [- v7 q8 J0 t3 |Cross-tabulation table, 复合表
9 M( T/ I0 F2 ^. C1 T+ xCube root, 立方根: }8 v0 ]0 t3 I+ [: b; x) x
Cumulative distribution function, 分布函数
3 Q( k# Q; C/ i3 ^Cumulative probability, 累计概率
/ I- `' p" f) MCurvature, 曲率/弯曲
; H& M0 N$ G$ a R" {Curvature, 曲率4 I. c; z% g# R' A3 w
Curve fit , 曲线拟和 6 x5 U0 l) [8 R! q8 W# n6 x
Curve fitting, 曲线拟合# u- Z0 K M9 Z& ]# Y: L
Curvilinear regression, 曲线回归, Z- {& L6 V" v8 Q; ~4 H
Curvilinear relation, 曲线关系
6 h q' n2 m; i) a; k; ICut-and-try method, 尝试法
2 E6 ~4 g7 v, m$ R" qCycle, 周期4 i& H8 f6 t. ?8 C# c$ h
Cyclist, 周期性. O* z# [; C' q+ H2 b/ G' l
D test, D检验
+ U- B8 J8 j6 [# q9 t- vData acquisition, 资料收集" C7 H9 L: d. E/ e
Data bank, 数据库5 \" I3 G9 O O) v( t n
Data capacity, 数据容量
' f! D \9 |* Q2 |7 _9 M" r/ ~Data deficiencies, 数据缺乏
* M: a4 G) w `Data handling, 数据处理/ N8 g8 r6 k4 j$ T. l
Data manipulation, 数据处理( z1 y2 S: T8 [' M/ a: S
Data processing, 数据处理' I' v9 W) b* d& d7 J5 S: t
Data reduction, 数据缩减
# n5 t" d# s% H( w. [# NData set, 数据集
: W, B- G% f) d. b6 V2 {1 MData sources, 数据来源# i; ^$ U. X1 X. q( U# ^& z7 Q
Data transformation, 数据变换9 F5 s4 Z2 Z& T3 ]; J) |0 Y, C0 ]
Data validity, 数据有效性
+ m* i& N6 \, T% UData-in, 数据输入8 b3 u+ P5 g- g' K/ Z& e% g; @4 j6 s
Data-out, 数据输出
) z) A7 [4 r y& c2 ?) NDead time, 停滞期
& ?1 ~1 J7 v) E5 sDegree of freedom, 自由度
# y+ z. p; Q7 y' tDegree of precision, 精密度. c% R* k; L( U8 _& G" M- y# }
Degree of reliability, 可靠性程度& r* `) k8 D+ }, @' ]$ Z
Degression, 递减3 k" X# s8 N1 H4 A& L' f$ w
Density function, 密度函数* S! }. f" M3 S( w- a
Density of data points, 数据点的密度
! w, I" Q0 W) Q h2 q# C- bDependent variable, 应变量/依变量/因变量
V9 P* j3 i+ `/ ]Dependent variable, 因变量7 O' Q' |3 N! J, S
Depth, 深度! B: t4 F, G9 U
Derivative matrix, 导数矩阵7 _5 C& D; ?6 ?$ u
Derivative-free methods, 无导数方法( v1 M# M: {8 s+ @
Design, 设计
) U& `6 O( {6 T8 V; qDeterminacy, 确定性% g4 ^3 J( D5 @% {
Determinant, 行列式! B8 t1 h% H% v3 j% ?
Determinant, 决定因素
3 Y0 ?3 P4 Y) V6 d8 SDeviation, 离差
; R6 d8 A. A' V2 F" w# `Deviation from average, 离均差7 \$ ~6 h! X/ g/ d
Diagnostic plot, 诊断图 N3 q2 _/ l2 Z% P
Dichotomous variable, 二分变量
5 D7 Q% o d/ [9 nDifferential equation, 微分方程- h% ~/ ?# N# [' ]8 Z
Direct standardization, 直接标准化法: z2 H( c1 z( a y2 x- \) z
Discrete variable, 离散型变量
: Q" s2 I; P$ T2 U& N- ]8 c( EDISCRIMINANT, 判断 % D3 e# Q: K D: G# C# T
Discriminant analysis, 判别分析# k8 Z! y. @1 [5 o9 N
Discriminant coefficient, 判别系数
1 y) F! ]/ B6 v( sDiscriminant function, 判别值
# h! y' b; Y! D% V) S, t1 V7 ` qDispersion, 散布/分散度
; S6 [3 K) E9 R) a( pDisproportional, 不成比例的
% H; ]1 C8 ]+ Y; H; k6 A6 WDisproportionate sub-class numbers, 不成比例次级组含量6 `3 D( k1 L( n
Distribution free, 分布无关性/免分布) ~- P! V9 N2 m5 }% c/ H+ g0 ]
Distribution shape, 分布形状* e( N, h2 W9 d* c% A
Distribution-free method, 任意分布法
* e$ {' a& v- cDistributive laws, 分配律2 Z C( z9 A8 T6 C6 Y, h5 | \/ J
Disturbance, 随机扰动项
7 k2 a ^/ x4 F3 iDose response curve, 剂量反应曲线- g( V. f% U( r: ?8 r) `
Double blind method, 双盲法
( J% v/ w; K& ^2 M: p. J$ y" PDouble blind trial, 双盲试验
& o6 s) S. Y( b2 i- A l1 i: FDouble exponential distribution, 双指数分布
! Q O: G/ p$ U0 h$ N0 G0 WDouble logarithmic, 双对数' f/ Z+ B: f( V7 ~; }+ [
Downward rank, 降秩
" M% E( ^$ ~! x: N# ODual-space plot, 对偶空间图
, D9 t. g$ z5 B, f' `. q+ vDUD, 无导数方法
% p) y2 ?# J& {- {9 q2 @7 a+ E6 NDuncan's new multiple range method, 新复极差法/Duncan新法8 ^) K c: p- m- S7 \
Effect, 实验效应6 u( o$ V7 e F' t+ k$ D& T
Eigenvalue, 特征值 G, Y3 ?6 ?& q H( p
Eigenvector, 特征向量
& T, Y9 i1 Z. `9 eEllipse, 椭圆) G) I( I, t+ s
Empirical distribution, 经验分布 N- N- t, o% i, l' w, M8 I
Empirical probability, 经验概率单位
I5 s; X: G. e( Y$ W3 pEnumeration data, 计数资料# @) i( G/ E3 d
Equal sun-class number, 相等次级组含量8 s0 ?" K3 H6 o! U6 n
Equally likely, 等可能
3 ^/ V% O$ l5 H" s! Z& [Equivariance, 同变性
2 {+ D+ `# @/ q3 n9 P( HError, 误差/错误
- F+ E% |6 S4 m# ?, AError of estimate, 估计误差8 n! J- s8 P' `" Y8 w: J
Error type I, 第一类错误( P% \* D( u, D! N4 { |
Error type II, 第二类错误
3 L4 ]3 X. ?# b3 `7 z# nEstimand, 被估量9 V! E4 ^: e9 W7 P5 ^# Y: x
Estimated error mean squares, 估计误差均方! r# m0 ^7 L( a; C6 l9 \
Estimated error sum of squares, 估计误差平方和# R+ h5 Z# \: {8 ?; k7 \
Euclidean distance, 欧式距离
+ w8 S- M% m( k3 CEvent, 事件0 x ^2 ^: w. x
Event, 事件
4 V7 c9 I- N5 O* f* BExceptional data point, 异常数据点# \: {. n" K9 m2 [5 o% Z% k
Expectation plane, 期望平面$ x2 C3 c5 _# e5 _ u) N1 o1 ~- S
Expectation surface, 期望曲面9 P' N- L/ a# W# m( a( z
Expected values, 期望值8 t( W7 w' f/ u* u- _
Experiment, 实验1 P# l$ }4 c5 ~" L' A* z" H
Experimental sampling, 试验抽样
/ b0 T; y: {& _ }Experimental unit, 试验单位7 |; X# u- q' d9 R# d4 C
Explanatory variable, 说明变量" E# x# t+ B' R# L0 v
Exploratory data analysis, 探索性数据分析
% B- S" r( |; ?5 ~8 kExplore Summarize, 探索-摘要
' g* O+ h/ `4 _1 P4 MExponential curve, 指数曲线
_( Y- J8 h ?1 Y4 CExponential growth, 指数式增长
( }- E" {9 j( @% {& G! h `EXSMOOTH, 指数平滑方法 & c% G; J1 C# |! E# `* k
Extended fit, 扩充拟合
a* \# p+ ]$ w8 aExtra parameter, 附加参数
1 v& V1 N' B' AExtrapolation, 外推法* g$ Q* M, ?1 u# W" O! y
Extreme observation, 末端观测值
% S% k8 a) ^1 T5 H! P1 g! hExtremes, 极端值/极值
p# s9 D" h1 s. mF distribution, F分布
4 Q L, p# \ J. `F test, F检验
' I1 J! B) }2 |; p1 M2 w0 ZFactor, 因素/因子' r1 N! U$ t8 j+ v
Factor analysis, 因子分析8 ?0 i( @/ a5 ~
Factor Analysis, 因子分析
) K" b5 n7 L0 N1 s }, w9 tFactor score, 因子得分
. w: c8 i( g5 O3 `( h4 T2 i$ @1 x2 ~Factorial, 阶乘4 @: @. @7 p2 b9 [8 n- J: |
Factorial design, 析因试验设计- s, X) _7 O. I* X9 P, a. S
False negative, 假阴性
. J, ?" W- S7 G. o& i! XFalse negative error, 假阴性错误0 U( m- u. c/ z8 T
Family of distributions, 分布族3 V/ ^! a% E5 c8 q+ ?* h+ w! Y" S
Family of estimators, 估计量族
& x0 g% t; r- c7 w4 a3 @: F xFanning, 扇面
; D' m, }) p- l6 b' b8 WFatality rate, 病死率0 Z. g& N& x* e, f8 N3 [: b j/ F
Field investigation, 现场调查
0 X! p- W* I1 J" ` |Field survey, 现场调查
$ M9 L0 M) X- ]! y, u* Y/ x. X& OFinite population, 有限总体
5 ?0 W0 w. h. G! KFinite-sample, 有限样本
: p9 x" n8 }. P1 i: ^8 L1 BFirst derivative, 一阶导数. Y* \2 |: d1 M7 X8 H! `8 I! X
First principal component, 第一主成分) k% @: k' D& H; v w0 C* h
First quartile, 第一四分位数* T6 u: I# N3 T+ ^6 U P: ^
Fisher information, 费雪信息量& p& ] N% u" s( N# @! h
Fitted value, 拟合值# E4 ], s8 g: d% Q7 n; n
Fitting a curve, 曲线拟合5 Q+ m+ P X4 n* f- T) {
Fixed base, 定基1 I2 H/ E" p& S4 O& V
Fluctuation, 随机起伏
: ^# r9 W9 T' o8 N/ }' t Q; e6 SForecast, 预测, Y- D( B& @0 H
Four fold table, 四格表
6 o% i8 y8 s, x9 Z# h% B3 K/ T% t, jFourth, 四分点) ^" s. R8 I6 v7 _4 ` z. R) k" ]
Fraction blow, 左侧比率2 l z! A- `. G
Fractional error, 相对误差7 B/ n5 x- \( J
Frequency, 频率' z" M1 |' K8 j8 f( f
Frequency polygon, 频数多边图
/ {0 {; W- v' p5 QFrontier point, 界限点
. `7 }0 J5 e# @9 tFunction relationship, 泛函关系
2 j3 w" e4 b7 @( E! B. N: L* I: vGamma distribution, 伽玛分布' m* K, ~% {+ P3 j% B& \
Gauss increment, 高斯增量
0 O1 j- g& i: D6 f& Z& }* @' DGaussian distribution, 高斯分布/正态分布
/ B7 a5 n* Q/ O" IGauss-Newton increment, 高斯-牛顿增量8 R9 J3 w( [4 k2 r8 J7 R
General census, 全面普查
2 d4 E* i% C/ p% c2 z3 W7 _- J# l; |GENLOG (Generalized liner models), 广义线性模型 ! m* i6 k0 L9 d! d- j
Geometric mean, 几何平均数7 d3 T( A4 M8 B3 m. w. p0 `$ `
Gini's mean difference, 基尼均差
* _# J# @6 v. Q( ]5 R+ _GLM (General liner models), 一般线性模型 * T+ K% x; O2 N! f
Goodness of fit, 拟和优度/配合度
9 E9 |8 z( J+ o. y0 DGradient of determinant, 行列式的梯度
6 t: _1 _( ^5 |Graeco-Latin square, 希腊拉丁方$ T; Z. K7 p0 }! _
Grand mean, 总均值& c, N* W( M0 f
Gross errors, 重大错误" b" j1 }0 q$ i9 R3 A A* ?
Gross-error sensitivity, 大错敏感度
2 s6 Y! D5 V" G, ?1 J' S2 {) H; nGroup averages, 分组平均
* ~3 _: }( {8 e9 PGrouped data, 分组资料
% r/ g; P7 ?; N: A9 L6 T' l5 kGuessed mean, 假定平均数
8 H7 [ S/ U1 B- B8 h- {0 \Half-life, 半衰期
# F# S8 D0 e1 L, `$ H. N z9 {Hampel M-estimators, 汉佩尔M估计量
# d6 w1 Y. k6 s! sHappenstance, 偶然事件
% Q) T0 T4 v) Q5 V7 FHarmonic mean, 调和均数! _) c! W% S* G2 V v5 I6 L+ U- @
Hazard function, 风险均数; m) k% h' c8 h* g
Hazard rate, 风险率
4 M- w' Q! P; _: x! NHeading, 标目
/ B8 t6 B& j1 n2 B% s! jHeavy-tailed distribution, 重尾分布8 }2 R0 X4 Y$ r" M5 k- B* G* `
Hessian array, 海森立体阵
8 w; Y# [9 P) L$ b, N* s1 qHeterogeneity, 不同质
+ M4 Y a2 w* YHeterogeneity of variance, 方差不齐
1 J; Q1 g2 q5 [Hierarchical classification, 组内分组
7 s( x1 p4 k4 t+ G/ [Hierarchical clustering method, 系统聚类法
/ G9 W7 l5 {( n; Y i) MHigh-leverage point, 高杠杆率点8 [& K5 i+ g6 d, z( A* C7 {
HILOGLINEAR, 多维列联表的层次对数线性模型
- r% `& u, r& w( D2 b- x. f8 Y6 THinge, 折叶点- } U8 J8 L% E9 |+ q4 K
Histogram, 直方图
# \9 Z/ h+ R {+ zHistorical cohort study, 历史性队列研究 ; ~" j+ B+ s' d- H; w, @
Holes, 空洞
1 I1 y- Q, L q" |" `* F' bHOMALS, 多重响应分析+ u: H+ Y/ z; F; j I+ G) o
Homogeneity of variance, 方差齐性
0 ?9 r* Q% _, {Homogeneity test, 齐性检验. x! h% g6 d e z) [* D5 ^
Huber M-estimators, 休伯M估计量( i: e) C, E; Z) V$ ~$ U
Hyperbola, 双曲线
: u# e( @- w& e+ g4 rHypothesis testing, 假设检验
& E* f* T3 }8 [$ q9 M5 dHypothetical universe, 假设总体
* |. L. l ]( |: wImpossible event, 不可能事件; U+ ?3 E; y/ |3 e$ m
Independence, 独立性
" x3 s* K1 S5 }: FIndependent variable, 自变量# ~' k# K0 k( F6 j1 }
Index, 指标/指数
j' r4 {- m. A) _Indirect standardization, 间接标准化法$ k1 L4 z& p. y+ `
Individual, 个体- P5 g; K# U$ k1 W$ z' z6 C
Inference band, 推断带
1 r, X3 i0 K% s2 \( p5 Z/ bInfinite population, 无限总体, o9 ?# Y2 Q4 R& t- q5 i @) z
Infinitely great, 无穷大6 Z" r& I" E4 A: A/ E5 b
Infinitely small, 无穷小1 S3 C/ G6 p/ k% N" i' N3 Z2 o
Influence curve, 影响曲线 {0 P& F. L# m: n* s9 R9 o; z
Information capacity, 信息容量: ~+ ?" Y) a. S
Initial condition, 初始条件0 }7 n- ]: t# a
Initial estimate, 初始估计值
8 v w7 j& [: [" }8 Q- v HInitial level, 最初水平
: o4 f! L% _& D. L, i/ g. t/ `- ZInteraction, 交互作用
I7 y) N: D2 {# }# V' D+ \3 D+ V4 zInteraction terms, 交互作用项% j6 n5 h- ?5 [. e& D/ Z
Intercept, 截距
. M: I% w$ U- R, r# }2 i! MInterpolation, 内插法+ M6 q' h. _' l5 F3 z- Y
Interquartile range, 四分位距8 h2 Y. V9 y0 }/ X
Interval estimation, 区间估计& ~/ C$ X# |0 l& {. J2 r3 D
Intervals of equal probability, 等概率区间! ^* M+ C' h2 _8 H: n$ Z$ ]8 g
Intrinsic curvature, 固有曲率% O5 `# d5 L8 Y* d! |
Invariance, 不变性' a5 R* d) \/ B; K- d
Inverse matrix, 逆矩阵
* K" f, i- G: S0 `Inverse probability, 逆概率" r" L7 t5 E1 Z# w
Inverse sine transformation, 反正弦变换
6 e$ S" u: e) b" `Iteration, 迭代
% W, a& z* O- m+ gJacobian determinant, 雅可比行列式# b# h6 z7 U! ?% H& X! \3 N
Joint distribution function, 分布函数4 z$ [1 U9 x; \3 Z* q
Joint probability, 联合概率; {' r4 F/ Z/ S# w; f1 Q5 ]
Joint probability distribution, 联合概率分布' g, q8 v# P7 Y$ t
K means method, 逐步聚类法4 P+ B- b" n8 P& x" j
Kaplan-Meier, 评估事件的时间长度 7 T0 z9 V- A! I6 u! f" k' ]3 v
Kaplan-Merier chart, Kaplan-Merier图
7 I4 d2 b- j8 P0 } v4 P$ G* x+ `Kendall's rank correlation, Kendall等级相关
# M" M8 e0 T0 c2 m( M0 bKinetic, 动力学9 w) ]7 q0 [! ~* g, y
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验2 Z) ]) y! a/ l' O9 b+ e* B
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
' T. @2 K6 L, \% t$ H6 |Kurtosis, 峰度
8 d9 M7 s2 T2 h+ X% mLack of fit, 失拟( h9 v. e/ ^$ Y" X3 S. J: P
Ladder of powers, 幂阶梯
, V7 f. m+ z# z2 t8 s3 C+ mLag, 滞后
, n, g! r& I/ r) t$ o1 z) o) CLarge sample, 大样本
' V# V1 E$ o7 G. E9 l0 {+ M7 |Large sample test, 大样本检验, Q% K/ [$ V0 U
Latin square, 拉丁方
7 G% S- f" q$ o' F4 `7 U8 {Latin square design, 拉丁方设计, ]' Q8 Z0 H) v7 w
Leakage, 泄漏. D. k: A6 K3 M; z
Least favorable configuration, 最不利构形
0 G4 R: }! z `Least favorable distribution, 最不利分布
2 [) _0 L% t7 y8 c, a, {3 p9 y' sLeast significant difference, 最小显著差法6 I2 K) z, |0 Z
Least square method, 最小二乘法: p* |" m" s& ?8 w
Least-absolute-residuals estimates, 最小绝对残差估计
( N$ \* j% P, n! O' C, BLeast-absolute-residuals fit, 最小绝对残差拟合* ^. O [, J$ V( G# |5 ~! S. X \# R
Least-absolute-residuals line, 最小绝对残差线
: k( g9 M5 ~( f! D% m4 ~Legend, 图例
* x& C9 l( z( l' |* D6 s4 ^/ LL-estimator, L估计量0 t3 I9 x0 t3 W
L-estimator of location, 位置L估计量
) p7 e. @8 ]! F! a9 N/ bL-estimator of scale, 尺度L估计量
8 i4 D. m3 a8 s' ^( ^6 zLevel, 水平- k" s0 e9 `( u, a: S5 Q E' F
Life expectance, 预期期望寿命
: n1 [) c1 [4 [# \$ h/ kLife table, 寿命表1 N6 y/ E1 v9 A2 ?, e
Life table method, 生命表法7 d( B7 B7 J# v+ V" h) E
Light-tailed distribution, 轻尾分布* M- w4 H2 V3 [$ F
Likelihood function, 似然函数. i8 l# s2 l: v. b
Likelihood ratio, 似然比" H6 v1 q" i1 E& n) h, R
line graph, 线图
4 x: K; G. r: z. A# l9 C% v* gLinear correlation, 直线相关
: {7 v; z# Z2 q5 ?Linear equation, 线性方程& w' @/ ], n& v( e3 n
Linear programming, 线性规划+ w1 [+ M- n8 H" `; ]1 p
Linear regression, 直线回归& C) L @5 T/ q3 X+ B
Linear Regression, 线性回归
9 E5 [: e: a2 p' |, S) d) C# m* w. p; QLinear trend, 线性趋势
+ K! F3 @5 E5 h& a4 [0 vLoading, 载荷 : ~$ B l# | h
Location and scale equivariance, 位置尺度同变性& `9 _( I( j; l$ t" ]! h* g' f
Location equivariance, 位置同变性
3 u1 N6 w' k- Z% @% P0 D" D" ^7 zLocation invariance, 位置不变性; L) g" J: v6 P0 M( v
Location scale family, 位置尺度族 [- H8 y" X/ F3 Z
Log rank test, 时序检验 ( d) M( N8 U0 E$ o9 l
Logarithmic curve, 对数曲线
) t9 P; }" u: d8 A7 j6 O+ x+ i% V9 ULogarithmic normal distribution, 对数正态分布: p9 K6 `1 q& M' Y
Logarithmic scale, 对数尺度% f3 _* o$ v# I2 ~2 K# i& Q' o
Logarithmic transformation, 对数变换) V; G5 y M( v" t# W0 @
Logic check, 逻辑检查/ i! |! K% {5 Z
Logistic distribution, 逻辑斯特分布
& C i' M# ]1 o3 a/ I1 q7 pLogit transformation, Logit转换
8 E( `/ W8 Q/ l' R& O/ N( x6 S7 O4 bLOGLINEAR, 多维列联表通用模型 / n7 \9 u( X4 r* V7 X8 B1 M# G" o
Lognormal distribution, 对数正态分布0 |' U5 f% ~% J$ G, L. U: v
Lost function, 损失函数1 {& m2 K7 v8 n
Low correlation, 低度相关
2 r3 N" W% c8 C% j1 P6 U0 B1 vLower limit, 下限1 j& I/ T7 v3 l' g
Lowest-attained variance, 最小可达方差
2 ^7 C$ w. H t/ ^LSD, 最小显著差法的简称
0 ]) r5 B% O9 u6 W D/ C6 L; nLurking variable, 潜在变量/ W) i$ Z. n+ B3 L
Main effect, 主效应
* F. D z# y' S5 s7 `3 y& HMajor heading, 主辞标目8 T; }6 n$ |, s. C" M
Marginal density function, 边缘密度函数
' y w, V" U8 CMarginal probability, 边缘概率* ~- z2 Q# l* [7 p
Marginal probability distribution, 边缘概率分布
! Y4 E/ s: U4 ]; p5 aMatched data, 配对资料0 O Q# Z- ^. ?9 e
Matched distribution, 匹配过分布9 Y6 j8 k- M, t# `1 K: U8 q. _+ D+ ]
Matching of distribution, 分布的匹配" B; o& b; H/ e' {- a; K' G! c
Matching of transformation, 变换的匹配
: R/ d# o/ L' P7 n, TMathematical expectation, 数学期望# h" ?/ U# _7 f, h
Mathematical model, 数学模型
1 x" i. @5 K8 \ s$ \/ [Maximum L-estimator, 极大极小L 估计量5 o/ k: U" Q- U; @2 p/ E
Maximum likelihood method, 最大似然法& p2 o8 i+ `: F0 X. \
Mean, 均数) K/ ~/ s8 P5 C {3 [7 z. Z. a4 J
Mean squares between groups, 组间均方
7 P3 D z X+ w7 x9 S" m+ HMean squares within group, 组内均方
: T% K, c* g. ~2 kMeans (Compare means), 均值-均值比较. ^3 V& C9 O' l( n+ c }1 N
Median, 中位数0 F" f9 |- Y+ w
Median effective dose, 半数效量
' n1 X$ F8 t/ {* y' IMedian lethal dose, 半数致死量
: N5 i) n5 \! }+ SMedian polish, 中位数平滑
- e0 S# {1 B c; _Median test, 中位数检验 ^1 I9 M- C2 Z
Minimal sufficient statistic, 最小充分统计量
0 X( w' U. S. D% O; ~) }Minimum distance estimation, 最小距离估计
& R: l5 q0 v% _3 }Minimum effective dose, 最小有效量
" M z0 p7 [% O& }Minimum lethal dose, 最小致死量6 o$ l2 \( _7 k' B4 q4 b
Minimum variance estimator, 最小方差估计量
3 G+ ]3 ]1 F2 }9 V$ cMINITAB, 统计软件包, |/ d2 O0 |( j) E/ H( T; ~
Minor heading, 宾词标目
/ t/ O7 g4 K2 o3 N9 w2 Q' gMissing data, 缺失值- W. _0 ?6 ^0 o4 r9 D
Model specification, 模型的确定* T6 F, G9 \ g5 z6 }2 s( [7 D- X& o
Modeling Statistics , 模型统计4 E1 L' U5 ^& P/ j9 c# D. T
Models for outliers, 离群值模型4 U2 \* [" E" @& f: Z/ F: @ X; |
Modifying the model, 模型的修正
1 ?, l, z3 N3 x3 f5 H* FModulus of continuity, 连续性模
) I* W1 d2 F! r1 f: v. q4 t2 i/ QMorbidity, 发病率 . M: \- @" r: {: n/ x1 p+ V: }
Most favorable configuration, 最有利构形, t: x8 W0 z o% Y
Multidimensional Scaling (ASCAL), 多维尺度/多维标度! x$ u3 m5 [$ F. n" f
Multinomial Logistic Regression , 多项逻辑斯蒂回归
8 J2 P+ A+ z- X3 `Multiple comparison, 多重比较6 \7 a4 P. s p* X5 v8 q W3 @1 `
Multiple correlation , 复相关
# {# e- y2 w2 s1 }Multiple covariance, 多元协方差7 u/ V% T; t5 K# {3 k# p |
Multiple linear regression, 多元线性回归
5 y# V3 O0 Z' _1 x3 f7 O2 w7 IMultiple response , 多重选项
1 _/ o3 h; N& `# ?7 TMultiple solutions, 多解, H* V* p) m' y) t4 _+ r% D+ m- W
Multiplication theorem, 乘法定理, G+ ~" g$ K7 y1 Y) Y6 w
Multiresponse, 多元响应
/ V3 j {+ [5 v% N0 t6 b, KMulti-stage sampling, 多阶段抽样
2 w) E2 D0 S9 Q( Y1 J* D. _Multivariate T distribution, 多元T分布
- n, @/ L2 q5 _% y8 mMutual exclusive, 互不相容
! Y( M# s! J6 x. [3 m1 w# mMutual independence, 互相独立
|1 [3 \" b! O* nNatural boundary, 自然边界
! R2 J0 C1 {8 |# F4 [) |6 u9 RNatural dead, 自然死亡" b( x4 k1 C2 F0 x- ? W! ^& ?
Natural zero, 自然零
. u* H2 L. j) N+ MNegative correlation, 负相关" w# E" c8 t4 r$ m8 @
Negative linear correlation, 负线性相关8 F! ]& j+ y8 j) b1 ]
Negatively skewed, 负偏
; }* ^3 w- [) |. { ?' X* y8 UNewman-Keuls method, q检验/ s7 f1 f5 ?9 f
NK method, q检验; I# |7 W& v$ J1 a, [
No statistical significance, 无统计意义
! {- _- r7 I7 f9 s0 yNominal variable, 名义变量3 |% _: L5 @! o. r& o
Nonconstancy of variability, 变异的非定常性* x5 u- t0 c' F
Nonlinear regression, 非线性相关
# F. a6 r x' q6 c" W: UNonparametric statistics, 非参数统计+ H/ X3 s! k- x9 D. ^
Nonparametric test, 非参数检验' Z: K% p: {2 k/ R. Y# k
Nonparametric tests, 非参数检验
1 ~+ M/ M5 q, k( INormal deviate, 正态离差6 t+ g' {' B, m& k
Normal distribution, 正态分布+ G2 z, {$ U4 |" \, H1 u; G/ ~) ~7 X, s
Normal equation, 正规方程组
" d. h% Y0 G0 j1 H( ANormal ranges, 正常范围1 V' ^ y& X- `- p
Normal value, 正常值
5 e5 m9 J" e! L6 LNuisance parameter, 多余参数/讨厌参数. X. @$ x9 N0 a* Q6 O9 L
Null hypothesis, 无效假设 ) R. _, o4 l6 Z% v, m4 S; _: o
Numerical variable, 数值变量8 c# l6 O- C9 M0 _
Objective function, 目标函数5 m+ E2 T# d6 L) e
Observation unit, 观察单位! E/ B. h2 C i: K3 J+ p5 L! [
Observed value, 观察值
w) J1 y+ Z/ O% e! z |One sided test, 单侧检验3 x% w0 h5 l# X
One-way analysis of variance, 单因素方差分析
1 T z5 Y0 n7 B, }$ r# G" N" ?4 yOneway ANOVA , 单因素方差分析
6 W0 s- z( }$ ~( ?Open sequential trial, 开放型序贯设计
& z- @, o% D. l& j! p; P% IOptrim, 优切尾9 C/ Q' r0 c( j7 `! e
Optrim efficiency, 优切尾效率+ e8 D% P% M; K" S
Order statistics, 顺序统计量
9 r8 O0 ^. z( H# {% v% p cOrdered categories, 有序分类
, B: b6 [% I: V' [9 [3 ^, JOrdinal logistic regression , 序数逻辑斯蒂回归
5 g3 |8 t& Q5 c( E- `: u. v' }Ordinal variable, 有序变量1 M/ V( Y! u, y2 z. P. l5 w
Orthogonal basis, 正交基
" g: a9 _. ^0 B" iOrthogonal design, 正交试验设计
: ~" n6 a8 ]' A- WOrthogonality conditions, 正交条件" ?- |- [- z' I$ {, q( O) S
ORTHOPLAN, 正交设计
[+ u o) G2 H7 HOutlier cutoffs, 离群值截断点5 m; u Z+ o: F, s) z( m
Outliers, 极端值7 }' {0 @; Z: J
OVERALS , 多组变量的非线性正规相关 & H/ o5 B: s2 y8 B& {0 t' X% ]9 }
Overshoot, 迭代过度
" a8 U Q% R7 n! s# iPaired design, 配对设计
5 v, K' j7 Z" \+ q+ ?Paired sample, 配对样本$ Q0 k2 ?, G8 W# c
Pairwise slopes, 成对斜率. {! d8 E$ h3 d) l, m
Parabola, 抛物线
0 a V6 B: e0 \9 |# M- j q& XParallel tests, 平行试验3 L4 X6 e$ p* N7 ^- s/ L
Parameter, 参数# |* F% W9 ~0 G8 e" X' h- E; M
Parametric statistics, 参数统计
; ?. R( t' Y/ d" mParametric test, 参数检验+ E: ]6 |3 G+ K: J7 O1 ]3 b
Partial correlation, 偏相关: F; e/ S( q' W5 c' M; K
Partial regression, 偏回归/ c* J1 b' m- Q2 Y8 k
Partial sorting, 偏排序3 y) t7 z. _% n8 Y3 }% n& C7 }
Partials residuals, 偏残差
3 T) Z2 W+ T" w4 O, FPattern, 模式
2 Q% ?' Q3 E* b! rPearson curves, 皮尔逊曲线# G% {2 d4 l* M9 @* P6 W- G5 `
Peeling, 退层8 e( c \8 {% N! G( _! o( L- l
Percent bar graph, 百分条形图" |6 {: _! ]: m7 m
Percentage, 百分比; ~/ R0 Q/ x8 c, Z6 r3 x: V5 R* C
Percentile, 百分位数
# G' O* G s9 g: B1 y9 |Percentile curves, 百分位曲线: ~* H0 E/ ^, H3 u
Periodicity, 周期性
+ D% \' _0 w& u0 XPermutation, 排列
" v5 C5 P2 \1 S- L# MP-estimator, P估计量
8 F" E7 z2 t; \# B2 E& CPie graph, 饼图! r' g* }" p+ M. L* a, M8 w5 j
Pitman estimator, 皮特曼估计量
- x; z4 I* g, m: SPivot, 枢轴量
/ ~. A5 q+ Y% sPlanar, 平坦
( b% F- M7 O9 x2 {9 H$ r) pPlanar assumption, 平面的假设2 B5 z% {+ o. ^- T, X9 E
PLANCARDS, 生成试验的计划卡
, b4 m* B+ f+ C" nPoint estimation, 点估计# d/ S* Y1 p. {; l; [* h# M" r3 o m
Poisson distribution, 泊松分布
+ e0 z3 i; i$ y6 M8 P( XPolishing, 平滑& R+ B _% F3 s8 g" X8 G9 T/ S6 h
Polled standard deviation, 合并标准差$ S5 D6 d8 d3 N5 Y+ r7 L7 J2 y
Polled variance, 合并方差
+ Q+ l+ K5 ~2 U1 Y% J0 JPolygon, 多边图! k8 r; S2 U3 p& e5 K
Polynomial, 多项式7 ]: q7 e E& g8 v. u/ W+ Z* @
Polynomial curve, 多项式曲线
0 ^9 Y& l( X, lPopulation, 总体
. e7 a% [2 X( b/ C* H1 d3 SPopulation attributable risk, 人群归因危险度
m9 v) |1 \3 h! `1 h5 W" ?: iPositive correlation, 正相关$ j3 \/ T: v& K2 J1 u: ?
Positively skewed, 正偏0 T( B1 E2 @+ D! r
Posterior distribution, 后验分布
* S5 X7 F0 K: D4 ePower of a test, 检验效能. W) y4 D5 k" `! {7 W
Precision, 精密度
( L# D2 @- T4 G$ a" tPredicted value, 预测值8 G$ [# m7 V$ O9 G
Preliminary analysis, 预备性分析
) w2 b8 \+ U& d7 W! DPrincipal component analysis, 主成分分析
/ O) O' A3 S7 {, z% h( TPrior distribution, 先验分布
, s: E' {& f5 X; u0 P) aPrior probability, 先验概率6 H5 v% K8 b6 \7 c" g
Probabilistic model, 概率模型2 p. z* l7 k6 h" a% ]% b
probability, 概率3 l( f4 i0 A3 x. v5 K T
Probability density, 概率密度
5 u" N: M/ z) T0 TProduct moment, 乘积矩/协方差& A, G6 K, H- q) u6 E) T' ]2 f1 W
Profile trace, 截面迹图
' [; S V& u8 X% ^. c; f$ ]Proportion, 比/构成比
: J9 ~2 c& Q: C* \Proportion allocation in stratified random sampling, 按比例分层随机抽样
+ H0 u2 d) I3 aProportionate, 成比例
/ }6 W' b- o2 q3 y8 dProportionate sub-class numbers, 成比例次级组含量. G! m7 S; f' [9 K! r8 e- _
Prospective study, 前瞻性调查9 y* N' o; |3 [- n1 d9 J
Proximities, 亲近性
/ U9 i% W6 m6 N0 [: ^: UPseudo F test, 近似F检验
& y/ I/ _9 i3 [3 k6 u) X' HPseudo model, 近似模型; k7 l5 P% y$ E
Pseudosigma, 伪标准差
9 {; D' H5 p2 `6 S% U5 CPurposive sampling, 有目的抽样
, E- [: @$ k4 UQR decomposition, QR分解
4 t. \. R; U# i0 bQuadratic approximation, 二次近似
- k4 z7 M; p1 h+ j. sQualitative classification, 属性分类+ I1 ^: ^7 y, ` _
Qualitative method, 定性方法" K e7 X. ~% n$ S* Q. d" N8 P/ e6 L
Quantile-quantile plot, 分位数-分位数图/Q-Q图! b* X. C0 Z1 f% Z
Quantitative analysis, 定量分析! R; T+ t" L$ D4 T- I
Quartile, 四分位数
5 Z8 o5 B& ?6 Z5 S) } z9 bQuick Cluster, 快速聚类- ?) Z- w) v2 q/ B5 ~2 f
Radix sort, 基数排序
: S9 Z) ?% t" r7 kRandom allocation, 随机化分组0 G+ x/ j% ^$ u1 I
Random blocks design, 随机区组设计7 L0 ]" \- ]4 S1 O& G0 g; l
Random event, 随机事件3 }7 z" U: v/ _1 ^& C' U
Randomization, 随机化
5 k4 S. c }& ]Range, 极差/全距" E9 c" a( {; F f5 k+ _
Rank correlation, 等级相关) k$ C% q: d' \$ e$ v
Rank sum test, 秩和检验) P) f1 H% W! I* r+ J
Rank test, 秩检验) L8 J0 V- G+ K# `0 X9 M0 x
Ranked data, 等级资料4 r* d! g1 |3 f' G! \$ T0 S( ^5 f3 f' m
Rate, 比率
4 Z. s, _8 S4 ^8 kRatio, 比例2 ^7 [- M" h6 t; Y+ x. ]3 |
Raw data, 原始资料
9 s, b& s7 f2 O, ^) l7 TRaw residual, 原始残差
; h3 O9 J7 z. W4 eRayleigh's test, 雷氏检验+ S7 t' T x5 x+ M& A
Rayleigh's Z, 雷氏Z值 . N3 Z/ }8 S9 S# F1 B
Reciprocal, 倒数+ m2 f8 @" G! n4 q& K c: E; ^
Reciprocal transformation, 倒数变换
) {8 n; J! b- ?- Z; L$ `Recording, 记录. a: F1 p* H' P8 N
Redescending estimators, 回降估计量4 W/ l" d' n, P
Reducing dimensions, 降维) `$ t9 c! t# y( R/ G* H z
Re-expression, 重新表达" y) U4 ^. d4 w" V5 C) W
Reference set, 标准组
& Y* B: \1 O1 ^Region of acceptance, 接受域: R/ ^; N' ]! C1 m
Regression coefficient, 回归系数% _/ E. s7 z3 L7 }, j* | G: L- [# N
Regression sum of square, 回归平方和+ a! r' ^) ]1 ~* w, U! i
Rejection point, 拒绝点3 z8 b" i4 Z, J
Relative dispersion, 相对离散度* C4 r# ?+ q/ b. \6 i- b
Relative number, 相对数
2 l6 M2 ^( X# t) {# EReliability, 可靠性
O; W, f6 K. Q3 |9 qReparametrization, 重新设置参数" M6 q1 R+ m1 ]# T
Replication, 重复) y# A; g+ \" Z8 _! k( I$ p
Report Summaries, 报告摘要
6 i: q! G/ T! ]8 a( P( yResidual sum of square, 剩余平方和 V6 D1 s+ z! `% O- Z3 l) s6 \+ B Q
Resistance, 耐抗性% h3 [/ @' Y$ g3 |6 {7 u/ ?" m
Resistant line, 耐抗线5 T* v6 t% `; c. T& N
Resistant technique, 耐抗技术/ k+ f8 r% F- h5 U; O" l& J
R-estimator of location, 位置R估计量
; I: A: [. m3 ]5 \2 rR-estimator of scale, 尺度R估计量
$ k3 `% L5 Q1 H) h6 ]/ E& kRetrospective study, 回顾性调查* A: A: U2 ~" G! D1 Q) P0 r
Ridge trace, 岭迹
' e) Y% \, n" |+ A, wRidit analysis, Ridit分析
, X8 e* L/ c. ^Rotation, 旋转8 e3 j I6 i& y6 O
Rounding, 舍入
h3 m% @, ^! W/ J$ p7 SRow, 行! C! j& ]7 Y2 V9 N5 t* Q4 H
Row effects, 行效应
7 G5 V* \. a6 J! T& U8 tRow factor, 行因素
0 v# A" u. y% e0 k# [. O7 q; gRXC table, RXC表
0 x5 }: O3 n: C( R* S; L CSample, 样本5 X. ?" C& T! A( ^, B
Sample regression coefficient, 样本回归系数
& D* b+ O* V, Z) b2 [! J+ R6 m! E5 JSample size, 样本量
$ F$ b6 p- \9 W4 f3 d- `! LSample standard deviation, 样本标准差
6 _) o. {5 R1 y! C6 k8 rSampling error, 抽样误差
: c# }* k R+ i: U/ u* uSAS(Statistical analysis system ), SAS统计软件包
6 j$ d- t1 p: a$ ] q0 }Scale, 尺度/量表
( x/ z% z4 {+ O/ x* N7 ~5 cScatter diagram, 散点图
$ G4 B0 \0 N! n& @! e+ r! j3 C- ISchematic plot, 示意图/简图( c/ ^7 u: W7 G# Y# r" o* K
Score test, 计分检验
, H2 Z( a6 L% r& Y0 m2 CScreening, 筛检
8 [! q% \) v( l5 k' S7 tSEASON, 季节分析 5 T( @' n5 l, Q& o0 L6 _/ I9 |9 w
Second derivative, 二阶导数
& C; W' i g' Q2 YSecond principal component, 第二主成分
3 j3 k4 h/ d. b- F0 z% TSEM (Structural equation modeling), 结构化方程模型 & z. ]) j4 `6 H) `8 r# S9 P3 q
Semi-logarithmic graph, 半对数图
4 \& X! J6 v& V0 o! n5 v" E& j% }Semi-logarithmic paper, 半对数格纸& U, `0 v& ^1 z* B
Sensitivity curve, 敏感度曲线
: d& _5 C( h3 f2 T4 r T4 g* V, VSequential analysis, 贯序分析
+ B5 m5 C) |6 @ @: kSequential data set, 顺序数据集
! j- x2 _, Z G, o9 Z8 h" g' g2 cSequential design, 贯序设计+ D3 G( l6 W7 u# E7 p; P
Sequential method, 贯序法# M. B& l4 x& D, V, z/ h1 U
Sequential test, 贯序检验法
+ M/ p U" c, l- X) bSerial tests, 系列试验
8 ?; f# u9 b8 T% E: ^/ M$ s# ZShort-cut method, 简捷法
7 i. B! Z5 \% ?, N% j& x& ^Sigmoid curve, S形曲线
' M, E3 q5 V; K, ?Sign function, 正负号函数
2 ]' W/ c+ D5 z+ v! U) {/ ySign test, 符号检验
' }" }$ X2 r( P2 PSigned rank, 符号秩, S; W$ R y& {2 ?5 J5 q! `# e
Significance test, 显著性检验) p6 W& R! b- R! w
Significant figure, 有效数字
+ n ?1 Y2 L+ a5 j6 o3 {' NSimple cluster sampling, 简单整群抽样. _$ T: _! ?0 S m# g: u/ W5 a% e
Simple correlation, 简单相关: t: q5 V( U+ I/ F
Simple random sampling, 简单随机抽样# a+ N' x8 @4 \' l5 G$ h
Simple regression, 简单回归
7 ]3 t/ e/ }8 n" zsimple table, 简单表
; l' q' V& t, oSine estimator, 正弦估计量* o1 M8 F7 I8 T2 ~& B# Q$ J
Single-valued estimate, 单值估计
; d5 T- a! F5 u B/ Z+ V, }* p0 YSingular matrix, 奇异矩阵
4 I+ |9 Z4 E7 P% `9 e4 ?! cSkewed distribution, 偏斜分布% _! `2 c1 L2 J9 m% Z
Skewness, 偏度6 H s8 e1 W3 ?7 X7 d* H2 E) z% o( I% H
Slash distribution, 斜线分布2 \& U0 B7 Z8 y) r) N3 ?" X
Slope, 斜率
[+ J$ o: r2 T* BSmirnov test, 斯米尔诺夫检验
6 A5 o; }6 L( SSource of variation, 变异来源
& c; \& v; b, e7 R0 F3 CSpearman rank correlation, 斯皮尔曼等级相关$ X6 W Z/ _" F) p7 Z$ R9 L2 ~
Specific factor, 特殊因子3 J8 w( T- B) z
Specific factor variance, 特殊因子方差7 e! a: x( ~( G/ m
Spectra , 频谱
/ n# c( l# i$ F3 y( K4 Y* zSpherical distribution, 球型正态分布
$ g& |9 V9 H3 C+ L# n3 VSpread, 展布
/ _ j0 y+ l: o# e0 x( n+ {7 q& fSPSS(Statistical package for the social science), SPSS统计软件包
: u9 B) x) F; I# F) ~Spurious correlation, 假性相关+ I; P2 b1 V. A6 z+ L6 `3 ]& l: @
Square root transformation, 平方根变换
6 D' A6 a K' M Q% `8 PStabilizing variance, 稳定方差! A# H; @( y! L+ d
Standard deviation, 标准差
( n9 p, ^$ [( G4 n8 A4 ]" k. oStandard error, 标准误+ }* ^: }) s# d, ~& ~2 ?$ \8 ]
Standard error of difference, 差别的标准误3 y4 `" r) I- Y( ^7 g N' E2 R1 i6 o
Standard error of estimate, 标准估计误差. y% h0 x" C& |, ?+ B' }1 e
Standard error of rate, 率的标准误9 {( f4 k6 U7 s K7 H
Standard normal distribution, 标准正态分布7 T! | |% c( F+ u
Standardization, 标准化
# D, T5 `# ?0 z! f3 RStarting value, 起始值. h9 O0 ]: i: D* m2 v. _, ~
Statistic, 统计量
% |6 F6 m* O! ~5 F( [Statistical control, 统计控制
; y1 S6 y% E: s# l" W) y% a7 PStatistical graph, 统计图
! L, K8 t2 R ^; d2 E& y7 qStatistical inference, 统计推断
1 s0 h- z( o7 M: SStatistical table, 统计表9 `# t$ y. p s3 Z
Steepest descent, 最速下降法# D, Y0 t8 ], G: |/ H( a) Z; {4 A
Stem and leaf display, 茎叶图
; u# c4 K+ P, T& o$ UStep factor, 步长因子, Y+ h* X6 K. i( L/ Z1 J
Stepwise regression, 逐步回归
- P7 v3 [ y' ] C2 A! F% S+ g6 GStorage, 存
0 W6 ?% B4 {- e8 {8 U0 |- k7 f; _, UStrata, 层（复数）% Y7 A, S& p6 r1 a. [; _9 f3 w- i: m
Stratified sampling, 分层抽样
8 f c2 B8 W: C8 M+ C, H' E! h% u0 ^" |Stratified sampling, 分层抽样
/ {9 i- ]% a. ^Strength, 强度
. p' x5 b5 O$ j* K' o% wStringency, 严密性+ W' l- R9 ^+ r: r. c0 T" D* y
Structural relationship, 结构关系! F- x8 c0 ]% Y1 Q+ J0 @9 a9 l
Studentized residual, 学生化残差/t化残差
; G4 K- H$ R: O) }$ i- NSub-class numbers, 次级组含量
( j& K q* H" kSubdividing, 分割2 h% W3 ~9 X* a
Sufficient statistic, 充分统计量1 d+ o* x# T, l2 Z: ] w
Sum of products, 积和
0 N8 [! \$ O2 r4 h! `% ^Sum of squares, 离差平方和
, p' w7 [$ w$ }% e! USum of squares about regression, 回归平方和6 I2 I* P( M$ j! S
Sum of squares between groups, 组间平方和. I. ]5 w" T! U! k8 `7 h( p; @
Sum of squares of partial regression, 偏回归平方和
1 t* y! G' q6 b' tSure event, 必然事件" ?, J7 q$ O6 w7 S6 P7 q% G+ I
Survey, 调查
# e) N: |$ Q! \) F: ZSurvival, 生存分析
. K) R/ X D, `0 s) Q5 y" LSurvival rate, 生存率% j. W' W& K. h( H# L+ X1 b
Suspended root gram, 悬吊根图
+ _. ]2 D5 } d0 xSymmetry, 对称9 t. k; T1 u$ J
Systematic error, 系统误差
( ?# `( f8 p! N2 B. h4 e j: SSystematic sampling, 系统抽样8 a* M9 E. O" g) @+ V9 w- `$ b
Tags, 标签
/ i6 o/ {# K$ xTail area, 尾部面积
+ Q( R& l. N0 @Tail length, 尾长( t, b/ j( B2 h* B
Tail weight, 尾重, Q, ~6 r( G+ ~! e1 _( P' {
Tangent line, 切线) J7 N- J6 K& b% z m7 a. H* f/ Y
Target distribution, 目标分布, q/ U) w+ X& S) x
Taylor series, 泰勒级数
" G4 a8 p! k2 M- S4 k& eTendency of dispersion, 离散趋势( h, k% k" C% s7 g0 {- }4 p
Testing of hypotheses, 假设检验- h+ }7 x6 T' v. J" T
Theoretical frequency, 理论频数
1 p/ ?; ^3 \, STime series, 时间序列; `4 I1 o n. U6 }
Tolerance interval, 容忍区间; t2 A8 h1 v0 |1 l& K' _* x
Tolerance lower limit, 容忍下限
, H! V0 p% U) f6 ?Tolerance upper limit, 容忍上限3 R2 N" l. {( q; Z' H: a
Torsion, 扰率$ ?, z7 Y' s9 X. G* D& j; N
Total sum of square, 总平方和
& Q" O3 k! X5 n; e5 rTotal variation, 总变异
9 a0 x v& h- \# r6 \Transformation, 转换9 U0 ]0 D+ S6 p
Treatment, 处理- t; Q4 H5 t; O, t# ~* x/ @& ]
Trend, 趋势
, R+ D9 c2 v; BTrend of percentage, 百分比趋势5 X+ z. T, a2 f0 X8 s
Trial, 试验
/ r7 y9 v* j" H9 hTrial and error method, 试错法
2 F' ?( H0 j9 D. l& \0 v; xTuning constant, 细调常数9 Y2 ~. V: B Y/ d, z
Two sided test, 双向检验% ^5 ?0 U% ~9 ^: c6 J9 f( ^6 }# n/ E
Two-stage least squares, 二阶最小平方
! o1 x. v$ Q6 b. hTwo-stage sampling, 二阶段抽样; \$ F ~ V, o$ @9 y( w) {0 N
Two-tailed test, 双侧检验- [9 s9 G2 C8 |0 h( L. S9 w$ ]
Two-way analysis of variance, 双因素方差分析
$ w& G% w4 Z' P% _" q: H' s8 KTwo-way table, 双向表
( Q4 Y8 H2 N6 z, {) g5 AType I error, 一类错误/α错误
6 G, Z" r& ~$ IType II error, 二类错误/β错误% r5 Y5 {0 |& J' Q' K- c, y- M
UMVU, 方差一致最小无偏估计简称8 R8 W! t [$ m8 k1 t( v
Unbiased estimate, 无偏估计
* {. k5 y# ^5 |4 ?Unconstrained nonlinear regression , 无约束非线性回归
- Q8 t& I: ^. ^" TUnequal subclass number, 不等次级组含量7 t0 H4 L; V/ k& n9 O5 E
Ungrouped data, 不分组资料 A' [9 K' B& A. ^
Uniform coordinate, 均匀坐标
* x$ T2 b/ T- VUniform distribution, 均匀分布 C7 t5 n- ]" |9 O' q4 Y
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计7 J e R u& \8 Q& ` N4 Q" T
Unit, 单元
/ o3 x' N' \1 f9 w& fUnordered categories, 无序分类
1 c* N5 o% S8 WUpper limit, 上限) @ M2 U- {' A5 L
Upward rank, 升秩* C8 j$ V' T# R" q
Vague concept, 模糊概念
0 n) B& |: o1 q( OValidity, 有效性
& K# r5 n! X8 Q0 K/ n9 jVARCOMP (Variance component estimation), 方差元素估计# b8 v. u7 n' J: [2 `, `& u+ G
Variability, 变异性9 | W! u+ L$ X4 }. G
Variable, 变量
8 ^; z: S+ x) YVariance, 方差+ ]# |1 x; S9 N0 [; U7 E7 [. U# N
Variation, 变异, w* y# j7 b6 c, }$ F4 u" @) `
Varimax orthogonal rotation, 方差最大正交旋转
" ?" ] [' \* ~) `6 O( R" E8 k" KVolume of distribution, 容积
. M; F9 p5 p9 W# g9 [! lW test, W检验; b% ? `- D5 u0 d% S- N8 }
Weibull distribution, 威布尔分布0 g: O2 f! @5 a3 a9 i4 C3 ]# Z2 r
Weight, 权数
. _. J4 o* i: D! u1 cWeighted Chi-square test, 加权卡方检验/Cochran检验
& @& u/ Y0 s' |1 z' B" C+ yWeighted linear regression method, 加权直线回归
8 _5 K+ \1 J K' J: ?5 X1 R8 C7 ]1 OWeighted mean, 加权平均数
& p+ i% _' S3 qWeighted mean square, 加权平均方差: q: I( {9 k# }8 t" \/ c
Weighted sum of square, 加权平方和
& R7 h+ B# w' }Weighting coefficient, 权重系数
+ u; U, j7 l: ]* x8 xWeighting method, 加权法 ; L6 D9 l8 i# v8 R! r
W-estimation, W估计量 G0 j- E$ h; m+ m
W-estimation of location, 位置W估计量9 @* R1 F! B& d
Width, 宽度
$ L; ?1 D. ~, Y3 ]Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
L9 U' W, n0 gWild point, 野点/狂点
+ E$ X$ D R! k7 p D% r4 W4 lWild value, 野值/狂值
! n6 V; ?- H5 I W( jWinsorized mean, 缩尾均值& g3 z6 C4 a/ r2 Z5 s
Withdraw, 失访 * T1 D) b! w7 S$ H7 Q1 [+ B8 ]
Youden's index, 尤登指数
' v% v7 m3 [# x" j% F% y. IZ test, Z检验
* q. N/ e, }0 B; @" I6 n! \6 RZero correlation, 零相关
6 @" l9 |" b) P4 W2 y& fZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
