|
|
Absolute deviation, 绝对离差8 `4 v6 l4 f5 ~ C/ M1 P
Absolute number, 绝对数7 ^- E4 m' ~ A" g) V
Absolute residuals, 绝对残差. N% [5 T% `9 s; Y6 s$ X6 m
Acceleration array, 加速度立体阵2 ?4 I6 k9 H3 n
Acceleration in an arbitrary direction, 任意方向上的加速度% v% Y# ?% b6 g: a
Acceleration normal, 法向加速度
* h- |: T6 O9 g' |" X* IAcceleration space dimension, 加速度空间的维数: E, [3 o% E. }: C
Acceleration tangential, 切向加速度
- s0 B- y, B8 j4 h3 H9 ]Acceleration vector, 加速度向量2 h2 a) e; _! n9 j7 ^ B
Acceptable hypothesis, 可接受假设' o7 K7 V1 ^( @* S- _
Accumulation, 累积
. [9 Q% W" N. ~. hAccuracy, 准确度
# E+ ?( T& W$ v0 S- J* }' U" ^Actual frequency, 实际频数
; q' g2 I1 r# P4 y; ~1 s, E3 @6 bAdaptive estimator, 自适应估计量
" Y9 _& n2 F1 P9 s2 tAddition, 相加- `! n* B! ^3 m' S2 R% S/ H. _
Addition theorem, 加法定理
( Z7 ]8 ]7 a$ ?) w4 [Additivity, 可加性1 w6 o) u7 n% H7 y+ j
Adjusted rate, 调整率
* {/ n9 t4 A; b! JAdjusted value, 校正值
# F. O9 X" ? ~ v. e$ S# ^, rAdmissible error, 容许误差
* v& W7 K- G% XAggregation, 聚集性
! ]: S6 z' n: ]4 R: TAlternative hypothesis, 备择假设
" g2 Q: J: R$ X h& Q MAmong groups, 组间0 B- n6 F* o( ?0 B) f5 u
Amounts, 总量8 i9 X: j) {( M
Analysis of correlation, 相关分析6 |. J) I1 Y! F0 X
Analysis of covariance, 协方差分析
" w3 a( d2 [. G! bAnalysis of regression, 回归分析
9 y5 N( d0 ^5 F6 [% J% D8 rAnalysis of time series, 时间序列分析
7 M3 h; D) k) ?) V; CAnalysis of variance, 方差分析( D/ P4 l1 m. E
Angular transformation, 角转换* p' |3 s1 z! }& x) Y U& l( x
ANOVA （analysis of variance）, 方差分析
3 E3 O# @! F; f+ G% F9 [4 kANOVA Models, 方差分析模型& b3 ]% T* r) T* B
Arcing, 弧/弧旋: X; [& m: I: p, @# g% A
Arcsine transformation, 反正弦变换# ~" z( K/ k' P- N3 ~! @8 K
Area under the curve, 曲线面积
R, o i- M. W: FAREG , 评估从一个时间点到下一个时间点回归相关时的误差
, p( T) w% U! n; J) U4 I1 sARIMA, 季节和非季节性单变量模型的极大似然估计 : I' y+ @4 H) {6 g* G% Z
Arithmetic grid paper, 算术格纸
/ B8 j# ?/ |: F. ]Arithmetic mean, 算术平均数
. N1 T: X& \- S$ F% N# ?5 NArrhenius relation, 艾恩尼斯关系/ I! i& g; h/ z% S
Assessing fit, 拟合的评估
5 Z; e, T1 j9 i4 W9 _Associative laws, 结合律6 w! g2 j# U6 f2 ~% o" N# W
Asymmetric distribution, 非对称分布4 W9 Z3 W0 a4 G1 G$ `8 o
Asymptotic bias, 渐近偏倚: @& C' Z% A: U3 [7 ?) i |7 Q
Asymptotic efficiency, 渐近效率
$ p8 l; Z! t9 r' `6 U& u$ M2 R2 w' FAsymptotic variance, 渐近方差/ H3 D. C. ]& x" E9 }
Attributable risk, 归因危险度
/ C) S5 k Y9 R* z" bAttribute data, 属性资料! \2 o* {# A- e& \1 t( J
Attribution, 属性/ b: k3 U1 I$ L- Z- L$ r
Autocorrelation, 自相关# V b, n3 R: w l5 _
Autocorrelation of residuals, 残差的自相关% c R- n- O. Q. R3 B) Q: B! a' e! O
Average, 平均数
. _ D7 [4 L# M- q) A0 r' S2 \6 bAverage confidence interval length, 平均置信区间长度2 |3 C* V3 h0 h
Average growth rate, 平均增长率
5 f5 r' t0 y# l' N6 Y: y/ B& YBar chart, 条形图6 z. ~' s* c9 ^% v0 T
Bar graph, 条形图% m8 q/ w7 A' f5 e: o& D' } H t
Base period, 基期
+ B* x% @! G: V5 RBayes' theorem , Bayes定理
( {, h" [, v. ]* k' O" dBell-shaped curve, 钟形曲线
! i6 m8 G. ?1 dBernoulli distribution, 伯努力分布
! D3 K9 C1 T. R/ K7 l, t4 V! hBest-trim estimator, 最好切尾估计量( v: c; R( q) I* v
Bias, 偏性
. c Z& Z) z6 QBinary logistic regression, 二元逻辑斯蒂回归
! F) `% G! A0 J. ?0 K/ U& K: EBinomial distribution, 二项分布
( U: P+ r) g, b8 j2 H: ?0 n5 C3 n1 C! qBisquare, 双平方( N: `+ G8 K- S$ W( }
Bivariate Correlate, 二变量相关! x) t& q7 V6 R0 ~/ r+ x
Bivariate normal distribution, 双变量正态分布
7 P6 ]: C. M" x+ E) y$ VBivariate normal population, 双变量正态总体# Y0 \, u! w, T% j; \
Biweight interval, 双权区间" l3 x; K3 u0 t# Z; X. z2 D( l
Biweight M-estimator, 双权M估计量
. O$ F5 p9 m w; HBlock, 区组/配伍组2 h# r7 ~( h4 x/ G) _2 ?
BMDP(Biomedical computer programs), BMDP统计软件包/ G" f/ @! q! r3 x
Boxplots, 箱线图/箱尾图! C' `) W% T6 q& w1 i; d& u
Breakdown bound, 崩溃界/崩溃点
P1 y( e/ u5 `3 s/ ICanonical correlation, 典型相关( Q5 N* B2 |$ j/ s5 ?5 G( Y
Caption, 纵标目, [; J; w4 b7 ?& Z) U
Case-control study, 病例对照研究
4 {6 `4 n7 s" v) ?0 {: TCategorical variable, 分类变量# B. Y: D' l2 H8 k$ q5 C
Catenary, 悬链线
3 }3 ~# K* y- K, e( V7 {# TCauchy distribution, 柯西分布
/ @3 E S5 t. c6 j% Q- m. dCause-and-effect relationship, 因果关系
' Q$ d, Z: ?8 E- X" S/ I: s& ACell, 单元% R8 N. U3 i4 b+ |: K- h- ~# s, w
Censoring, 终检
* j& \3 F: l. q( F5 T8 xCenter of symmetry, 对称中心! Z$ q/ N8 h1 I7 z
Centering and scaling, 中心化和定标9 f7 m# t2 b% X! ~# W
Central tendency, 集中趋势: [) G. \* l6 y& U3 L: r
Central value, 中心值7 F3 h( p8 ^* x) E1 X) q" _, A
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测$ I2 y# [2 F, h- ^
Chance, 机遇
. \2 S$ Z! m8 b" L& d/ R# ^Chance error, 随机误差
) ^( }% p! K3 ]Chance variable, 随机变量' }8 Q; C* ]& h7 u
Characteristic equation, 特征方程8 d3 Q2 F0 W* J a6 J& x5 R8 ]
Characteristic root, 特征根
6 P# }' r$ q- u7 ^2 A& M: mCharacteristic vector, 特征向量
3 h" e& N4 u% {Chebshev criterion of fit, 拟合的切比雪夫准则) ~+ E2 r0 F" H0 Z$ M0 y* x$ m) m) l0 s
Chernoff faces, 切尔诺夫脸谱图% P7 T% T- x1 J4 I/ t
Chi-square test, 卡方检验/χ2检验
( z% h/ _/ ]/ r: WCholeskey decomposition, 乔洛斯基分解9 H' D& o8 X! p# r. ^: {9 c1 Z
Circle chart, 圆图
u! @# R; D- f' S# I% I! h* xClass interval, 组距6 c# W: [0 A7 h: H9 a+ K
Class mid-value, 组中值
. n1 s0 B, T6 N+ k3 ZClass upper limit, 组上限
6 d- c g& z2 z7 \) z7 h" gClassified variable, 分类变量1 n/ j: | A, c* {1 P
Cluster analysis, 聚类分析8 q6 F$ \( X/ U& J9 V1 T1 H+ X
Cluster sampling, 整群抽样* ]# z S! q2 \" C' D# X, x- u9 c# [% |
Code, 代码
+ e, c" S3 F0 ~* F1 LCoded data, 编码数据2 }! ?2 N7 \: z% Y, F- B
Coding, 编码1 N2 r, n9 A3 G
Coefficient of contingency, 列联系数6 g- m. M* m7 I0 | I+ J' d- y5 _
Coefficient of determination, 决定系数1 B: z. l( Q( ^; x3 | s
Coefficient of multiple correlation, 多重相关系数. t% N0 ~% Z/ v( D0 }2 o/ D) |- ~
Coefficient of partial correlation, 偏相关系数- R2 N: l: t5 \% I, A( [
Coefficient of production-moment correlation, 积差相关系数
3 t0 A; b9 r( x+ `1 J& o' TCoefficient of rank correlation, 等级相关系数+ r7 S: J/ `- I- g8 e1 \
Coefficient of regression, 回归系数
% x* c, g6 \, l/ n* HCoefficient of skewness, 偏度系数9 r8 J0 C% h) o7 O
Coefficient of variation, 变异系数; u/ }2 ~0 v( u& p
Cohort study, 队列研究
7 f: q# p5 f3 Z' g0 Z6 o6 QColumn, 列
$ ^2 M: L- I4 a6 G2 L/ Z' Z7 Q( `2 NColumn effect, 列效应0 S* b; E( O$ A- P1 H& Z4 U
Column factor, 列因素
$ O. @; V/ d& YCombination pool, 合并 N+ c7 k" y1 g+ K0 \, i
Combinative table, 组合表
" R* l* [- \- z5 m0 N3 \* V$ ^+ h Q# FCommon factor, 共性因子/ U1 z2 t+ E1 x9 Y4 E
Common regression coefficient, 公共回归系数
4 l8 c0 F# P. ?$ p' ~Common value, 共同值; N' ]9 B/ L2 [9 T$ \5 g
Common variance, 公共方差
8 i4 x/ f O# C" |5 K$ A9 o* M9 [Common variation, 公共变异6 G% U1 n8 b; [4 B, A d; V# X1 s7 r
Communality variance, 共性方差
% d# u. _& L" @+ S5 ^, e9 M) z$ a1 xComparability, 可比性" F1 B( k* Q! Z
Comparison of bathes, 批比较* D# S; I4 x! M" ~
Comparison value, 比较值- f8 T: I' A+ O
Compartment model, 分部模型
: t v# `0 L; s# NCompassion, 伸缩7 l) w' Q: A$ r9 y6 {
Complement of an event, 补事件
" }, q' J) a J R1 u6 {3 LComplete association, 完全正相关
/ w, h y- z7 UComplete dissociation, 完全不相关$ L# F2 ^: M# N. Q' o
Complete statistics, 完备统计量
0 w2 \; g" m: i9 U5 \( v$ DCompletely randomized design, 完全随机化设计: Z; S4 v5 ^/ J# `# s. M5 d s2 R4 X
Composite event, 联合事件
: s- V* d+ H/ O+ w; U3 u& jComposite events, 复合事件7 h3 d, z( [9 g3 o' g, D$ M
Concavity, 凹性$ S" l! V' q6 k$ _
Conditional expectation, 条件期望
+ ]4 {7 {6 {7 n! ZConditional likelihood, 条件似然
& s \. r4 ]7 Y4 \5 V# DConditional probability, 条件概率/ t( C4 y4 S0 r2 B8 i
Conditionally linear, 依条件线性
, `4 g1 Q+ h8 U* y8 V: yConfidence interval, 置信区间
" H* n) ?. q/ M9 K5 }; h$ ]Confidence limit, 置信限
! W5 J; T; z5 j1 V; kConfidence lower limit, 置信下限
0 G- h# G: {% }; \% S D$ o0 YConfidence upper limit, 置信上限% E. N- Y3 [! `& i6 ~
Confirmatory Factor Analysis , 验证性因子分析" C9 `& H/ ?7 {! @
Confirmatory research, 证实性实验研究0 m7 T% d3 g- j# Z( U
Confounding factor, 混杂因素) Y" e3 T+ N+ z* k) B
Conjoint, 联合分析+ p4 F$ z; I/ o+ ^2 [0 j
Consistency, 相合性
- A# ^% \& Z. a, i: x7 \Consistency check, 一致性检验, V" b& L0 D: [* \" I+ y7 l% w8 @
Consistent asymptotically normal estimate, 相合渐近正态估计0 U; O' F1 ?5 G Z, k6 B* }0 k3 p
Consistent estimate, 相合估计
5 F, k5 ]9 I. v/ m3 T# y- [3 _0 [Constrained nonlinear regression, 受约束非线性回归% N: A: I8 k) K6 O; S' Q; N
Constraint, 约束7 s7 g! o2 o8 B# m" b; m
Contaminated distribution, 污染分布
4 |; E, h$ r$ g$ qContaminated Gausssian, 污染高斯分布& M! h- q6 W$ u; S
Contaminated normal distribution, 污染正态分布% s$ M* Y$ i9 u
Contamination, 污染, P. u) O' r& l1 D! I
Contamination model, 污染模型. j0 T1 j& q5 \- }* Q; M
Contingency table, 列联表; o8 k/ I& l$ l# K& @' F
Contour, 边界线) ^' L: O9 r" Q% s1 \
Contribution rate, 贡献率% f& J) Y9 E* T k9 z
Control, 对照
5 j' M2 }5 ]' F6 q: P/ l$ UControlled experiments, 对照实验
8 L! u8 O. w0 g1 n4 ^Conventional depth, 常规深度
7 F8 t' |1 ~3 D1 s* {5 TConvolution, 卷积
0 ^* }4 r+ q3 v& K# G* ICorrected factor, 校正因子5 r! u3 r" R# R9 g+ f4 y
Corrected mean, 校正均值. ~% m/ t# [" q
Correction coefficient, 校正系数
6 s, z4 ?" G5 p- u J# V/ KCorrectness, 正确性
/ H& r: x1 m5 U3 C) J, Z) mCorrelation coefficient, 相关系数" d+ ^( o8 L( d5 U ]7 S
Correlation index, 相关指数
2 `5 Z9 }1 J" u I5 j" c6 l, xCorrespondence, 对应
+ V, F& U3 P1 {% bCounting, 计数/ a$ _* Q; f) A% h) }% L0 d
Counts, 计数/频数+ W, ]/ e. G( f
Covariance, 协方差9 P+ A$ h' g a8 r6 ]
Covariant, 共变
7 ` x( O4 |- k" O5 q( ECox Regression, Cox回归# d9 [* t' p& I! }/ W7 M
Criteria for fitting, 拟合准则
- w: [) }3 Q1 g) w' ~4 Y6 w/ F& KCriteria of least squares, 最小二乘准则3 Y/ c0 A! Y0 F; W
Critical ratio, 临界比3 s$ }9 @" E" Z D
Critical region, 拒绝域- [6 J% Q9 J. c9 O* U7 Y2 z2 V
Critical value, 临界值* r3 t0 q/ ~: }% B; H- H% n' h' L
Cross-over design, 交叉设计4 W! z! `& r6 g% H: I, n* l
Cross-section analysis, 横断面分析
. N: A3 R# Q, f( nCross-section survey, 横断面调查
/ d+ w( E. \2 `) ?Crosstabs , 交叉表
9 v6 C! L1 }/ iCross-tabulation table, 复合表% b; v+ B' H5 ]8 s. g+ T* j b
Cube root, 立方根6 ~" x, t' V1 J. `8 i2 y; Z2 c
Cumulative distribution function, 分布函数
6 v+ }$ L/ _( O! r4 J; `Cumulative probability, 累计概率# ]2 T; k3 `1 \$ J: R# @
Curvature, 曲率/弯曲6 o5 [" t; K2 Q8 Z+ [' M/ W7 |
Curvature, 曲率4 g: g( b4 l/ K! R
Curve fit , 曲线拟和
9 |' k1 \2 x! B( y- A1 S0 M0 T' kCurve fitting, 曲线拟合
; K( e" \- c- M9 A6 \& ECurvilinear regression, 曲线回归
2 r/ c5 O* J5 k4 j# d( bCurvilinear relation, 曲线关系$ F1 g% I& K! y( u3 C! g
Cut-and-try method, 尝试法
( B4 h/ S/ I. Y" [4 l7 k, }% [' }Cycle, 周期, {+ r( n& J; h; Y3 g
Cyclist, 周期性6 |: ^! R, `& Q9 Q+ z$ o$ ^: u
D test, D检验9 _% \$ o1 s5 b4 s) w7 @* T: t4 U
Data acquisition, 资料收集# m3 E# s/ ^9 E# z; P' `
Data bank, 数据库6 m8 P' e3 Q$ w E9 K3 D4 k; [
Data capacity, 数据容量' l8 `; y/ V# U: [5 C5 B
Data deficiencies, 数据缺乏9 u4 ]: i4 \- X1 J" s0 D6 l
Data handling, 数据处理
6 t% y4 B7 Z* L+ _$ @1 gData manipulation, 数据处理( {8 W* y" d! s* K1 Z
Data processing, 数据处理
' ~0 l; @! S; t% B7 I! lData reduction, 数据缩减' l! A" W- J9 E$ m5 o
Data set, 数据集# c) b0 H0 b: M1 G* ]9 b; T5 D9 W
Data sources, 数据来源
% {/ B/ t( s: Y, g9 OData transformation, 数据变换
2 T4 B3 _3 @0 g9 @4 L5 ?Data validity, 数据有效性% P$ ?4 N" p- I, X" C
Data-in, 数据输入& p9 _: e: r+ G
Data-out, 数据输出) I; L& P! Z! A" t+ @5 P1 Z
Dead time, 停滞期3 M8 M; _- f/ H
Degree of freedom, 自由度
! k* h) W$ P, j: C! s# K WDegree of precision, 精密度
4 w: z- i# p4 y' n1 UDegree of reliability, 可靠性程度
- T: C2 W; S3 H* B* i# \/ wDegression, 递减
* t! H7 V3 m7 N: ^. }7 l& ^Density function, 密度函数
" `0 e: m7 r5 I2 F2 N0 ODensity of data points, 数据点的密度
1 N" z4 `0 _, h% ?Dependent variable, 应变量/依变量/因变量
2 K+ E4 d3 a6 r* |! {+ vDependent variable, 因变量
& F W b' `7 D X+ EDepth, 深度
& f! z, f/ K' N. ~; FDerivative matrix, 导数矩阵5 b3 h9 e2 c0 W1 i G
Derivative-free methods, 无导数方法
6 Q0 r/ w% U( p3 c9 JDesign, 设计
: e5 O; V- L8 G$ E+ [Determinacy, 确定性) i0 M( z. Y5 X% v v4 S
Determinant, 行列式
4 g' E% [: K1 e% p. C& Y! U' RDeterminant, 决定因素# _! ]0 P. t6 J8 e3 I5 p
Deviation, 离差! g! M& O) j7 q" }
Deviation from average, 离均差
% Z. E; Q a: a; j% \6 \5 f( J) DDiagnostic plot, 诊断图
6 b; }( Z8 g: ] h0 [) z2 nDichotomous variable, 二分变量
0 Q% H- T- M; L9 _& s4 X3 MDifferential equation, 微分方程0 n. a/ d* z' @% C7 b e' A5 f) b
Direct standardization, 直接标准化法5 s. B, C* A9 f+ D3 u6 L; W/ y
Discrete variable, 离散型变量1 [- U- V; G. E/ v, W# ?- F
DISCRIMINANT, 判断 b2 \1 j; J) f$ W. o1 }3 o. H! N: K
Discriminant analysis, 判别分析% Y+ W2 z; _- \3 ]; Z
Discriminant coefficient, 判别系数0 m8 s/ k( e p- @2 ^- l* E
Discriminant function, 判别值
, i% o6 t6 V# E# Y' `Dispersion, 散布/分散度
& v3 f- U- x4 \2 o8 P0 B6 SDisproportional, 不成比例的, @9 m) K5 T8 @7 l
Disproportionate sub-class numbers, 不成比例次级组含量
" `1 g( q. j* L, b1 K9 c* UDistribution free, 分布无关性/免分布
% R! X% t* \* M7 x/ J( M/ _- [Distribution shape, 分布形状
5 ^8 u: k: l0 Y; o1 ~6 WDistribution-free method, 任意分布法
" `; I( t# v/ |1 o6 ~" Y) }7 ^0 iDistributive laws, 分配律
- s1 V! ]8 n- h. N# x* e5 F8 IDisturbance, 随机扰动项" \6 `: t1 d5 t# t# E8 \* J
Dose response curve, 剂量反应曲线
$ [9 B8 Q) N8 F6 W( e4 g$ v6 N9 BDouble blind method, 双盲法: w) r9 O5 e7 G
Double blind trial, 双盲试验
8 z( V7 N- w! A: D A; tDouble exponential distribution, 双指数分布
6 V: _ c# h; R+ p2 zDouble logarithmic, 双对数8 E6 |2 J/ ^! _4 T
Downward rank, 降秩5 g3 B( d9 ^! V' [% E2 c4 V
Dual-space plot, 对偶空间图6 s% F$ x2 t0 j; ?) \5 l
DUD, 无导数方法
$ g* L4 V. R- ~+ ~) M. y9 p: jDuncan's new multiple range method, 新复极差法/Duncan新法
) ^) ], c1 X8 p1 Y8 U! W' {9 rEffect, 实验效应
' T5 C9 p/ I% i0 ZEigenvalue, 特征值, ]9 Q! z* Y' T8 o2 B: u
Eigenvector, 特征向量& z G' O$ Z; S3 K
Ellipse, 椭圆1 e; g$ Y' ^) u. o
Empirical distribution, 经验分布- _' t/ X* Z8 s N# a" a
Empirical probability, 经验概率单位3 j% W5 k) |6 ~" f% B
Enumeration data, 计数资料
. p# M8 h0 R+ X( r/ j# c: {Equal sun-class number, 相等次级组含量; P. M) M% g+ k. @. K
Equally likely, 等可能
: W: ^- y2 p! x( KEquivariance, 同变性
! H. O& |' ]7 [Error, 误差/错误
! d0 \) x& S5 f7 V- c8 D4 `2 |Error of estimate, 估计误差- j; e {1 x6 V0 R3 Z
Error type I, 第一类错误
/ T! q& n5 ]5 h% g5 WError type II, 第二类错误
/ p; j0 b; y; w1 O& TEstimand, 被估量2 ?0 `1 C$ B" D! m
Estimated error mean squares, 估计误差均方
5 m7 i! _/ ]' h& q( j3 O# DEstimated error sum of squares, 估计误差平方和% U' a% Z3 m$ }: E- R
Euclidean distance, 欧式距离) q4 i( r" b. c5 S1 x
Event, 事件
; a4 ~: ?" {) CEvent, 事件+ i: M4 j5 e/ K& _
Exceptional data point, 异常数据点2 H3 o3 G/ [/ A3 G
Expectation plane, 期望平面0 Y( J. l" J4 m! V" y& h* k) K6 T
Expectation surface, 期望曲面
4 c- K. a( z" e8 B2 @Expected values, 期望值
9 x! ~- E- d/ _0 |- p5 b f+ IExperiment, 实验
1 b, o8 E; u2 _8 JExperimental sampling, 试验抽样
# e# ^; r4 z7 M9 z+ g' y4 AExperimental unit, 试验单位
2 B$ U8 e3 f# m2 {' `Explanatory variable, 说明变量4 ?) U y- i( V3 S' J% @/ e
Exploratory data analysis, 探索性数据分析
# E+ A% N; V6 Z$ t C; ]Explore Summarize, 探索-摘要
" o* X; Y! t/ E: ~' F! m+ x# R( uExponential curve, 指数曲线
1 `- k- P- Q; M! F0 u" Y8 ^Exponential growth, 指数式增长/ [+ N5 M h# F, p
EXSMOOTH, 指数平滑方法 - o+ C8 Q3 {% e' i2 E, v, Q
Extended fit, 扩充拟合
4 _4 m3 P8 P1 k8 eExtra parameter, 附加参数
7 r8 Q8 ^9 d* d4 G3 YExtrapolation, 外推法
$ w( O- [* S' H; h1 m5 BExtreme observation, 末端观测值) @3 A) b8 L$ ?* `
Extremes, 极端值/极值+ F/ {* v1 _- B, @) \- X
F distribution, F分布- l1 m m* B& [" X: h. [5 j( C
F test, F检验* P, g H6 b' |) l9 A
Factor, 因素/因子" G0 ~" y% H R
Factor analysis, 因子分析6 Z% ~4 Y2 w7 g1 p |2 y9 V
Factor Analysis, 因子分析
# E9 e! W' N4 R& nFactor score, 因子得分 - b" p i* |* x- }: |
Factorial, 阶乘& V* L; `4 v6 ~% {2 F
Factorial design, 析因试验设计" J9 L1 W& p2 E' {
False negative, 假阴性
; h/ n# i) O6 Y0 }% ~False negative error, 假阴性错误
Y7 i( @/ N; b' [Family of distributions, 分布族+ K2 u7 s2 x" \! L$ u A/ h7 Z6 p
Family of estimators, 估计量族
X6 `. w5 \8 h0 zFanning, 扇面) o( p0 J$ p3 W2 v* {
Fatality rate, 病死率
' m+ R* w4 z* B1 |Field investigation, 现场调查 z" c. J6 B4 s, q
Field survey, 现场调查# s$ X7 n Z! |
Finite population, 有限总体
, w# d" _: X; M; M, _6 l6 D4 kFinite-sample, 有限样本
) n& a" E- I6 n2 l/ ^ UFirst derivative, 一阶导数
( o! r+ O$ _6 j. p7 FFirst principal component, 第一主成分
6 D' u- V3 @$ Q6 [! f+ FFirst quartile, 第一四分位数4 o# V7 P; P: a9 ]( _
Fisher information, 费雪信息量% m. q) G- m, c2 m
Fitted value, 拟合值" d4 w6 C- V" E7 y7 J2 d
Fitting a curve, 曲线拟合0 p' T0 B G; G, c7 G
Fixed base, 定基/ y7 b/ ^- b: V Q% w2 ?% U
Fluctuation, 随机起伏
8 i7 l6 C |8 M- KForecast, 预测" ^$ e# B& v' Y) `3 ?" ^- @
Four fold table, 四格表
; S+ o# ?" W7 fFourth, 四分点- z& F d, p; h6 D: ?" z: w! k) K
Fraction blow, 左侧比率
. b: L2 |. c. O# p4 G- P4 I* R! vFractional error, 相对误差, C3 b' R! ?( c" A# ?8 \
Frequency, 频率 |- @9 k* g+ [
Frequency polygon, 频数多边图! C8 g7 I: U8 Z: Z& n/ \5 g
Frontier point, 界限点1 R1 _ U! y+ Y
Function relationship, 泛函关系
, R7 \9 P8 s; i- SGamma distribution, 伽玛分布2 H0 o+ d0 m5 I5 a, T( a
Gauss increment, 高斯增量2 E" B9 e! X. `: n w! c
Gaussian distribution, 高斯分布/正态分布
2 H( W6 n6 a1 ?0 f+ C) [3 ]$ W; PGauss-Newton increment, 高斯-牛顿增量
8 _! s! n/ Q' g6 EGeneral census, 全面普查
$ m$ j( }7 t+ x7 @% ^# ^GENLOG (Generalized liner models), 广义线性模型 7 H, q3 d! r1 {. w
Geometric mean, 几何平均数
* x" B$ S9 L, g, E; N# kGini's mean difference, 基尼均差
) y2 P4 E5 y- B& A7 G/ K' PGLM (General liner models), 一般线性模型
1 B5 W$ S! O- Y% aGoodness of fit, 拟和优度/配合度
8 k* \. `- U H8 KGradient of determinant, 行列式的梯度
7 l* M+ `' N* B9 b* J+ y4 J# N6 Y ^Graeco-Latin square, 希腊拉丁方; Z$ n4 D3 A9 D# s' _3 `! _" t
Grand mean, 总均值
7 t/ F$ ^; Q& p! Z, b. aGross errors, 重大错误
% `: t: O2 J! w4 q( i" k9 C' T. QGross-error sensitivity, 大错敏感度3 v/ f% ?) S- y4 \ C5 m) O' l
Group averages, 分组平均
+ O) f* h* w) RGrouped data, 分组资料
4 I" x' |( z! h! g* ?3 z, m+ D- W1 I4 i8 BGuessed mean, 假定平均数 f/ X$ ]7 h& A0 _) @2 k& [% _
Half-life, 半衰期
1 G# [1 }8 ~3 b) a9 EHampel M-estimators, 汉佩尔M估计量( z; |$ _$ P+ R
Happenstance, 偶然事件
% l, q: F8 ^+ R3 `7 sHarmonic mean, 调和均数
2 W+ N. ~7 _' z6 x" |" h1 eHazard function, 风险均数; j6 ]/ t" z- {
Hazard rate, 风险率8 T# G- p0 [; v; W5 Z
Heading, 标目
0 i: U8 ~( b2 J$ Y0 f7 o2 d: C4 b- eHeavy-tailed distribution, 重尾分布6 k& F2 K1 ~+ l% A. Z5 k# z2 q+ x
Hessian array, 海森立体阵 n7 ]- T& o* V7 z6 h3 \
Heterogeneity, 不同质5 c8 c, J$ L, o! Y
Heterogeneity of variance, 方差不齐
9 ^& H; X9 b/ tHierarchical classification, 组内分组
* C: P) G, f! q P- O" F8 ^ i+ [Hierarchical clustering method, 系统聚类法
0 l& r9 |+ r7 |! S1 F3 BHigh-leverage point, 高杠杆率点
9 w* D$ \$ n4 Q: A, {8 v& I" GHILOGLINEAR, 多维列联表的层次对数线性模型
, I( u4 U8 P( A9 IHinge, 折叶点$ @1 S( a6 e w5 F& W# Z9 K4 e8 Q
Histogram, 直方图; G# B1 J6 P& ^
Historical cohort study, 历史性队列研究
. u- h! {8 k. S! P0 K% A+ THoles, 空洞# w$ @ b# H# w3 {
HOMALS, 多重响应分析0 M& F3 {8 `4 k$ ?: R4 D4 b. t
Homogeneity of variance, 方差齐性
2 b0 j4 s7 n, U3 O1 g3 n0 A! WHomogeneity test, 齐性检验0 |9 U7 U# T5 s% n
Huber M-estimators, 休伯M估计量
: E, e% v0 `& m" @8 zHyperbola, 双曲线+ l: c. t+ T9 ?9 g- E$ L! W
Hypothesis testing, 假设检验
9 Y3 w3 _- _# x4 {% fHypothetical universe, 假设总体: V7 K/ u9 P$ @( [' i: F
Impossible event, 不可能事件
/ ~' i4 N+ j( @% @& E8 M ^4 OIndependence, 独立性
) t' X6 ]6 _5 [8 h& d6 ^/ A3 GIndependent variable, 自变量9 _* A8 L5 o, C
Index, 指标/指数; O& d+ L3 B1 ^2 ]" P* w
Indirect standardization, 间接标准化法! b# L% A. q* d
Individual, 个体# ?; W* r n& a `* {
Inference band, 推断带
3 c" A2 q+ }& m3 I; gInfinite population, 无限总体9 V1 L2 I+ A) v: i, H
Infinitely great, 无穷大$ ?) p2 g* y, [$ ?' l! z0 n
Infinitely small, 无穷小
- c8 ]% I+ {' p0 g. B. _Influence curve, 影响曲线; K$ r2 s$ L: |, G
Information capacity, 信息容量. f; c, i# {4 y4 [
Initial condition, 初始条件
* c6 O% V& i( R2 v% M* QInitial estimate, 初始估计值- I2 K& `) a1 x/ W
Initial level, 最初水平
# p# J: [" g. J7 n, b" gInteraction, 交互作用6 d5 C: o/ X, b& |5 `
Interaction terms, 交互作用项% e% ]1 n9 K1 `5 t8 f( M# ^
Intercept, 截距
0 t9 Z" i7 d. N! ?+ TInterpolation, 内插法
) _* y' i2 I6 \! }* {4 nInterquartile range, 四分位距% [$ Z. K9 V4 h" P9 s
Interval estimation, 区间估计% o9 G& ^9 j2 f$ n
Intervals of equal probability, 等概率区间$ n3 z; U( ?0 Q
Intrinsic curvature, 固有曲率
$ g* Y J: O9 r, d, r* QInvariance, 不变性4 o7 X$ b/ z' P, u+ j/ A$ H4 N
Inverse matrix, 逆矩阵' X, d# a$ p4 e: _; {. C
Inverse probability, 逆概率5 }* f1 h6 x# i5 m7 u
Inverse sine transformation, 反正弦变换
, t( Y0 @" y4 F; TIteration, 迭代
2 _3 m) g& q7 M( g/ d# pJacobian determinant, 雅可比行列式9 K. R' B$ b6 {+ Z9 ^, m
Joint distribution function, 分布函数* M: z: @" {6 a6 H! j
Joint probability, 联合概率0 l2 Z" u5 R, m7 k9 ^
Joint probability distribution, 联合概率分布( W- k8 v* A. l, R
K means method, 逐步聚类法; x# h" @% J# G) u L
Kaplan-Meier, 评估事件的时间长度 7 A* \* Z: C: b" d1 n* m0 r6 Z; z
Kaplan-Merier chart, Kaplan-Merier图. D6 w2 R+ H/ u! W
Kendall's rank correlation, Kendall等级相关4 t, w' \, `. |8 C
Kinetic, 动力学
8 Y1 C! y/ G' t. Y' G% PKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验' @9 Y+ i- p! v. O$ B; |8 n
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验% ]" t5 ]; _6 E3 B s6 I. s; a
Kurtosis, 峰度/ t. W, r7 ^% T. e- C. R5 o
Lack of fit, 失拟6 G7 w& J; a8 k$ ]" q% W D
Ladder of powers, 幂阶梯
k! l9 g8 y8 l5 wLag, 滞后& m) F9 h+ W [$ ?
Large sample, 大样本7 ]& _% g, @ U+ K8 u
Large sample test, 大样本检验; Q1 \0 T( K3 C! x
Latin square, 拉丁方- @6 ^+ d" f# \/ T* ?
Latin square design, 拉丁方设计6 N" n/ H: I+ u) ^( I" x% ~
Leakage, 泄漏, I# [4 `- ~+ Y5 E; e2 r! ]) B* V% p
Least favorable configuration, 最不利构形& V1 _3 v, b0 P2 ^+ z" w" ~
Least favorable distribution, 最不利分布
$ @! B) n& A- ALeast significant difference, 最小显著差法
4 w2 Y P% l$ V- QLeast square method, 最小二乘法
6 J8 b* z( z8 I6 j2 MLeast-absolute-residuals estimates, 最小绝对残差估计
+ Y- b% v( \+ P, T zLeast-absolute-residuals fit, 最小绝对残差拟合3 p7 A6 D$ D0 k. W
Least-absolute-residuals line, 最小绝对残差线4 J: V$ j9 \" C, h4 O) R1 V
Legend, 图例$ q( S& Q: {; E& G% ?. R" [0 E
L-estimator, L估计量5 ^: X& ]& q7 u2 q8 D& b
L-estimator of location, 位置L估计量
# P! \! _! s8 E8 oL-estimator of scale, 尺度L估计量( {$ E; [$ Y: K/ g% j7 T
Level, 水平2 P0 u7 n/ i- f2 l& Y; w( h9 f* F
Life expectance, 预期期望寿命
; T* z- S' V' k2 g( TLife table, 寿命表- V' v* B9 _7 m) L* @5 P6 y# q
Life table method, 生命表法 G% t- Q4 b) o. @4 V" T# _4 ^3 z
Light-tailed distribution, 轻尾分布
* M" n' Z- M! }0 L ULikelihood function, 似然函数 K6 ?* x# T& N9 h7 o
Likelihood ratio, 似然比
9 X. U: T0 X. v9 T; F& \7 bline graph, 线图) w: e1 b" s' t* a+ \5 G
Linear correlation, 直线相关
: H3 n, y- a- ULinear equation, 线性方程, b& a- d" B& m6 S
Linear programming, 线性规划
2 d: I q0 i9 j* G4 z9 T' u+ }Linear regression, 直线回归7 H' i; _: V& ~' w& G% g! w
Linear Regression, 线性回归5 V! ~- A9 V9 Q) h) V" x
Linear trend, 线性趋势7 o% u# y/ `) f5 k; _% m
Loading, 载荷 0 Y( p8 Q3 a4 j
Location and scale equivariance, 位置尺度同变性
3 n8 O- l n; m0 GLocation equivariance, 位置同变性" z! q( V, T8 H! Z3 k9 z6 \% L* s
Location invariance, 位置不变性8 X* {6 \6 p# j- M' X! v
Location scale family, 位置尺度族
8 H, ]: }( ^+ _7 e0 @/ B! oLog rank test, 时序检验 ~) `* O3 c5 h5 f
Logarithmic curve, 对数曲线" t3 v; R! q ^: M0 x4 n- ]- g$ f
Logarithmic normal distribution, 对数正态分布
$ n% R& z7 a7 O' h( ~! R$ A& q" ~Logarithmic scale, 对数尺度' ]' [: t( q- [3 `# p* R
Logarithmic transformation, 对数变换. M% i1 g5 p$ i* R
Logic check, 逻辑检查
/ S2 ?& i: d8 _7 S/ [' h6 g: FLogistic distribution, 逻辑斯特分布
x# U% Z" n5 m$ x3 o7 }5 d& aLogit transformation, Logit转换: Q6 f t7 g* n6 n1 j; o1 L
LOGLINEAR, 多维列联表通用模型
9 b! p! a X: P3 P( D7 hLognormal distribution, 对数正态分布; \) k3 E- q. e O* ~9 M
Lost function, 损失函数
9 D) G, W' \; v' t) ^Low correlation, 低度相关2 {" r" B! H" {
Lower limit, 下限
" `* V" O' b' m3 zLowest-attained variance, 最小可达方差
: ~( w# c r, a, \% R) X; |LSD, 最小显著差法的简称$ t6 _! I! X+ }+ F3 e- L, A2 y
Lurking variable, 潜在变量
2 h3 R8 _* L& y$ {% J gMain effect, 主效应
# z" r7 z# x3 ]( `5 iMajor heading, 主辞标目
* s$ c. ^. X0 A$ ~/ lMarginal density function, 边缘密度函数+ U% \: c% V, @& _- Y/ K
Marginal probability, 边缘概率5 n1 Y" X/ t1 V0 d5 a& p2 v
Marginal probability distribution, 边缘概率分布/ w8 K9 F/ s5 b# `% r* A3 j* l
Matched data, 配对资料
5 D" o/ g- f9 I, p, g$ L" G' }9 X% h0 S+ ~Matched distribution, 匹配过分布
0 l6 _" `. @- D; ?2 VMatching of distribution, 分布的匹配' B- a1 U' F6 m/ V7 ?
Matching of transformation, 变换的匹配
3 w% B) [- ^; r( Z2 y3 hMathematical expectation, 数学期望) _: g8 v& V& w& x& L* S
Mathematical model, 数学模型3 H8 u# v1 M& l! k
Maximum L-estimator, 极大极小L 估计量
" o# c8 S; {6 N9 ]0 f- K% v9 F; D4 [Maximum likelihood method, 最大似然法' n7 T& }& E3 ]" `( Q7 K6 Q* k
Mean, 均数/ ~" d' q- x( y1 t1 g- i
Mean squares between groups, 组间均方- `; x. Y l4 B, i1 A5 F
Mean squares within group, 组内均方. b) x9 ^ K3 @5 G3 H1 |" [
Means (Compare means), 均值-均值比较
. |: d- K& s; p# h0 K! K0 y5 U8 ~Median, 中位数
. c1 J2 W4 a* S7 pMedian effective dose, 半数效量
- [. d" q' ?! \8 L* B8 uMedian lethal dose, 半数致死量
* f4 |) N4 k8 S6 x1 L* a" G3 ^9 fMedian polish, 中位数平滑
, H) o3 p4 O% v) U* GMedian test, 中位数检验. V/ L; f% c$ ] d0 N
Minimal sufficient statistic, 最小充分统计量
' b) l6 }* O; s9 m6 MMinimum distance estimation, 最小距离估计. B$ U: `: m2 d& c0 o
Minimum effective dose, 最小有效量
! x$ _* c c) N) N+ ]Minimum lethal dose, 最小致死量 d f( o: a( o/ y* z
Minimum variance estimator, 最小方差估计量
. t9 [1 a! P) `; nMINITAB, 统计软件包
! S5 C* t# b- y0 ZMinor heading, 宾词标目
( j! U" I' {- J6 r% J" TMissing data, 缺失值
7 O m, G: N" Y5 R, A7 P4 AModel specification, 模型的确定
$ [9 Y0 X$ D4 S3 k( N6 Z& nModeling Statistics , 模型统计. E3 J6 q4 ?- r: C
Models for outliers, 离群值模型+ K* i2 D' S; d: ]+ r
Modifying the model, 模型的修正
! i4 K4 T& R# lModulus of continuity, 连续性模! t4 X$ q0 Q& }* W4 p/ P
Morbidity, 发病率 % b n5 m. r; n6 L
Most favorable configuration, 最有利构形
: u' G2 v) L; y1 d% k. wMultidimensional Scaling (ASCAL), 多维尺度/多维标度
/ d4 R6 r* j0 A' j% {5 PMultinomial Logistic Regression , 多项逻辑斯蒂回归. W$ L$ X1 S1 n6 }5 Q
Multiple comparison, 多重比较$ H$ R, h8 D( Y. W ]2 v: ~* Z
Multiple correlation , 复相关
1 M1 W" v' v+ T6 I) M% Z: lMultiple covariance, 多元协方差
5 G3 E1 |4 A% W. g* ]Multiple linear regression, 多元线性回归
# V" [2 a3 u( a* z: Y" eMultiple response , 多重选项6 F% b8 w" N) I, T* Q/ Z7 k W
Multiple solutions, 多解1 ?/ e, M+ s3 G/ G( m
Multiplication theorem, 乘法定理! X; p, I5 E8 U% l0 ]3 E
Multiresponse, 多元响应9 R6 ?1 v' @) @. P
Multi-stage sampling, 多阶段抽样/ ~! G& I( T/ Z+ L( W
Multivariate T distribution, 多元T分布
8 A) d1 v& S9 i) A6 ]) EMutual exclusive, 互不相容, m; X9 A$ l/ U+ O
Mutual independence, 互相独立6 D7 h8 m& e# X; ]; l
Natural boundary, 自然边界
r( u9 k! r9 j% p2 `; @Natural dead, 自然死亡0 O3 M6 ~ x w
Natural zero, 自然零: T% T2 k' g ~7 O
Negative correlation, 负相关
) Z c0 D) [# g) ?8 [ p2 E" `% tNegative linear correlation, 负线性相关3 i% Y- C/ Z- T" i3 B3 y
Negatively skewed, 负偏
; r: Q5 `! W- T! wNewman-Keuls method, q检验
$ v0 `% t p# [3 N, ?: I8 g% RNK method, q检验* J8 ]. g% \, p& r. w# B$ X. X; [) O
No statistical significance, 无统计意义0 x" L" l. O! d! E- L o' P
Nominal variable, 名义变量$ d. k6 [/ J* e f5 h: a$ [. K4 h/ x, c
Nonconstancy of variability, 变异的非定常性 Q4 [; |0 b' E: z# u6 }6 }
Nonlinear regression, 非线性相关
f" {( P- o! \( `Nonparametric statistics, 非参数统计
/ s) h( Q( t4 [5 Y' jNonparametric test, 非参数检验
% P w9 G; ?( l9 l0 qNonparametric tests, 非参数检验' ]' x3 \7 S2 T1 A# s2 E
Normal deviate, 正态离差' h+ K% Z& P p( e$ L1 y
Normal distribution, 正态分布
) x: Q* w# X) H) B( g' C6 G. NNormal equation, 正规方程组/ G! d4 Z& ^0 J( ?# U1 ?( r4 b
Normal ranges, 正常范围
, j* c0 z. @! aNormal value, 正常值
4 ]7 h' c0 \4 {4 FNuisance parameter, 多余参数/讨厌参数
! K, |0 }. k+ P9 E: H& cNull hypothesis, 无效假设
. x6 m+ W5 Z& Z. k( fNumerical variable, 数值变量, _' z9 S1 T8 j2 M4 W4 j
Objective function, 目标函数
" r, x8 z# e3 o p. i. q( c; c* MObservation unit, 观察单位$ J3 a5 |$ R6 o2 A; Y* R8 F
Observed value, 观察值/ |2 o/ @& }5 }/ W2 |
One sided test, 单侧检验' L$ Y7 V) J/ h8 n
One-way analysis of variance, 单因素方差分析( ?" G) \2 p$ t% d
Oneway ANOVA , 单因素方差分析
# ^9 \) m) P) \! SOpen sequential trial, 开放型序贯设计
4 L, R1 x9 Z; _$ U: lOptrim, 优切尾
0 `/ c( m: S) B5 I; S1 B% uOptrim efficiency, 优切尾效率
% P$ ~2 g X9 H' z) p* LOrder statistics, 顺序统计量
. c+ |* m% T1 W) c* ~- GOrdered categories, 有序分类
F0 Q2 Q" R% t2 A9 I) wOrdinal logistic regression , 序数逻辑斯蒂回归
- J: ~2 Y7 c4 F; XOrdinal variable, 有序变量
9 `3 R w1 _. K7 [- e. EOrthogonal basis, 正交基2 }6 M8 r. a# Z) x3 l6 B v; h2 D
Orthogonal design, 正交试验设计
( i; p" c8 ^% `" g' F, h: j7 OOrthogonality conditions, 正交条件' _; n, [2 ~( `9 s
ORTHOPLAN, 正交设计 $ |; x' z5 M o7 A" B
Outlier cutoffs, 离群值截断点
* T% f" t% n5 \( y/ e: S' Y: ]4 `1 wOutliers, 极端值1 }. H1 N! T+ Q
OVERALS , 多组变量的非线性正规相关 ) |* N# a& \7 C+ @! W
Overshoot, 迭代过度' ]8 f, T% }2 Q
Paired design, 配对设计6 @7 t" q8 F' T6 C8 Q: A* [
Paired sample, 配对样本- ^2 M6 Y" g5 T5 R. T
Pairwise slopes, 成对斜率
' ^8 w6 ^6 }* KParabola, 抛物线9 \* D0 K1 L- q: z
Parallel tests, 平行试验
4 w- y' k) m/ A- lParameter, 参数
) P2 |; m. Y( k9 IParametric statistics, 参数统计
1 C* _ |& B; A* B; w5 _Parametric test, 参数检验
( D1 u r4 [" o$ LPartial correlation, 偏相关9 M3 m8 w1 v: W+ W9 J& h! z
Partial regression, 偏回归& l3 B% R& u9 B# e$ H7 J
Partial sorting, 偏排序
3 \1 p& x: R( P+ h& yPartials residuals, 偏残差) F/ J2 J, w U% @ j1 m B
Pattern, 模式& b- u* g V9 |& V2 h( m9 c
Pearson curves, 皮尔逊曲线, ^* S X0 @( C( C2 d
Peeling, 退层
; y/ \7 u' z+ c* K4 E9 }' LPercent bar graph, 百分条形图
* ~/ p2 p! ^ d5 k' |8 { b0 v' XPercentage, 百分比; L9 Z f; \* A+ z- h; a
Percentile, 百分位数% s% K( j9 R& V' U1 u5 A0 G; ?# ]
Percentile curves, 百分位曲线
. c' n Z* Y, E+ H4 b* YPeriodicity, 周期性
" e# H6 x! j$ @4 V- e# wPermutation, 排列& N% a7 a) |$ i! h; Y
P-estimator, P估计量
; G# i) u n; t) d, vPie graph, 饼图+ D0 q7 Y$ `9 a! G' k! A3 P/ y4 ~% u& ^
Pitman estimator, 皮特曼估计量
' |( J. }) O! K' I6 h+ g% Y- fPivot, 枢轴量
7 g: k! N; Q0 T7 |/ e: nPlanar, 平坦, L. A& b+ X# d
Planar assumption, 平面的假设
y; J6 A0 H f% h1 oPLANCARDS, 生成试验的计划卡, W. h. l: t! _- h' o
Point estimation, 点估计
4 _. ^7 I. }/ g' j* Q' v- V, F& xPoisson distribution, 泊松分布2 y: a% A+ B- y; X1 Q8 p
Polishing, 平滑4 P& P; n$ Z. {0 S
Polled standard deviation, 合并标准差& a. O ]" Q/ |8 R4 U% T* [1 u/ g! [* C. h7 t
Polled variance, 合并方差5 f, V0 z& b- L8 P
Polygon, 多边图
8 ~- E0 @0 }) }# k% ]# J/ ?Polynomial, 多项式
5 j& e5 H& J# a4 v7 @% zPolynomial curve, 多项式曲线+ Z3 V1 u. ~4 o- d6 S/ _
Population, 总体
) D4 Q7 [ o9 I$ BPopulation attributable risk, 人群归因危险度3 ~0 Q+ {- u' m. n N1 z6 W+ y. z- n
Positive correlation, 正相关& J$ s7 z; F5 F, z- _$ V
Positively skewed, 正偏( m/ B G0 B( M y. A! w
Posterior distribution, 后验分布
' d! L$ f _" U' e; ]% B$ i- N1 `Power of a test, 检验效能
c7 Y1 z3 T5 ^# d9 {, t. yPrecision, 精密度5 c4 E( I' V& m
Predicted value, 预测值
6 f' M) e% K/ C( N! }1 C HPreliminary analysis, 预备性分析7 ]( x' E' k! x/ d1 ?
Principal component analysis, 主成分分析9 H4 A4 _' e. c9 ]' c8 x( i# l. P
Prior distribution, 先验分布
$ K n( F& ^5 `( lPrior probability, 先验概率
5 i5 b( n) v) d* A% A7 o2 L+ RProbabilistic model, 概率模型
( K, y/ D9 d0 \5 R& _- Yprobability, 概率1 ~3 x* t; J6 k4 I4 H4 h
Probability density, 概率密度6 l9 K+ C0 m! t/ o6 ~ u7 R# l
Product moment, 乘积矩/协方差
* R% ~/ j+ H* ]$ ~. wProfile trace, 截面迹图
! s: M2 D, D6 G3 T0 n% wProportion, 比/构成比6 N4 f5 [+ e' N) w' x
Proportion allocation in stratified random sampling, 按比例分层随机抽样
% h' X* |+ S H, a- {* J& yProportionate, 成比例0 z$ k; P" w6 R0 m# U! ^
Proportionate sub-class numbers, 成比例次级组含量' V, l3 u2 v# N) [: s7 a
Prospective study, 前瞻性调查$ g0 ^ ?$ k% z; d |" w: \! n: I
Proximities, 亲近性
& d; E2 b. A! D9 w8 oPseudo F test, 近似F检验, N9 B" |5 s0 X* L& C4 V0 g
Pseudo model, 近似模型
F7 M6 Y# q. _, L8 ~, l& P4 iPseudosigma, 伪标准差) A/ _8 [/ x5 X6 j" t) Z& F
Purposive sampling, 有目的抽样5 Q1 v6 i: J6 g3 U
QR decomposition, QR分解& W# S( U9 B8 M. o1 [$ w
Quadratic approximation, 二次近似0 A' E# _* y: R) C& R
Qualitative classification, 属性分类
8 {3 X; [# I/ U& |/ n7 B3 k, w OQualitative method, 定性方法
9 t! w3 z* S5 K- o2 hQuantile-quantile plot, 分位数-分位数图/Q-Q图0 [( X2 K+ ^9 T) v- I! X: C
Quantitative analysis, 定量分析
6 T3 \; n+ d0 W% M8 J4 G2 TQuartile, 四分位数
: v ?+ @; ^' h9 |. B" b% q# HQuick Cluster, 快速聚类( _" Q5 J3 [* k! M
Radix sort, 基数排序
: t! a5 P; f# iRandom allocation, 随机化分组1 j+ [. b5 \* ~- Z9 C: f
Random blocks design, 随机区组设计
, G l: |) v( J9 J" n- I$ x6 ^) QRandom event, 随机事件
& C6 l. ^0 u! l/ i% S2 U( ERandomization, 随机化
4 V3 ^9 l+ n! e5 \Range, 极差/全距
6 e( p3 I% c* Y, c3 DRank correlation, 等级相关& t! h( A$ |9 e; h
Rank sum test, 秩和检验" \7 L" l! u5 C1 ]# q
Rank test, 秩检验
6 f# |) s5 l/ m8 ]' iRanked data, 等级资料& [' W8 ]; c E& B6 v
Rate, 比率
1 c6 J5 z4 _& eRatio, 比例
3 u( Q) o; q B- [Raw data, 原始资料
+ e% c) }$ U9 I- Q" M+ zRaw residual, 原始残差
; S0 Q6 w7 C. ^: |( dRayleigh's test, 雷氏检验
, f: Y7 k/ e* [" _Rayleigh's Z, 雷氏Z值
- y6 n: E' [( P* m' vReciprocal, 倒数
s; n$ u) J m' G _Reciprocal transformation, 倒数变换6 b& k. K" ^; o( a
Recording, 记录! r |9 w) t* k* a
Redescending estimators, 回降估计量, y& r. ]) [0 y# |4 \8 y( E
Reducing dimensions, 降维
5 C" ^; _5 }: K3 p( f+ y6 _, rRe-expression, 重新表达
0 m- O- A$ }; [% vReference set, 标准组
$ \! b9 A' `. \9 pRegion of acceptance, 接受域( P J' [: |0 m1 P7 o# T7 N
Regression coefficient, 回归系数) d* V! S9 `2 i$ ?; E' ~; u1 ~
Regression sum of square, 回归平方和
" }* i/ S- M( M3 h/ {Rejection point, 拒绝点9 S4 U& z- w; ^( v( \
Relative dispersion, 相对离散度
7 B4 L( j! P& `% ~# i6 S1 u* @Relative number, 相对数8 V. @4 j; e. w' l g, q. e
Reliability, 可靠性
! l; ?9 ?3 P' [) g! ~9 iReparametrization, 重新设置参数
8 m6 C; q) Y4 K0 YReplication, 重复6 K: e9 X( P4 ]9 b. K7 {
Report Summaries, 报告摘要6 o; r- R( D1 g- P9 B7 H; X# R# X
Residual sum of square, 剩余平方和
% k4 ?, ], x/ v- Y7 \- J( |7 ZResistance, 耐抗性
* r; e% h, S [$ P2 Z& X! ?Resistant line, 耐抗线
8 f1 V* Y- P/ @, P. c1 C- jResistant technique, 耐抗技术) K1 F' D3 K- [8 [. g8 ], |* E
R-estimator of location, 位置R估计量- B8 g1 D( m& N2 U2 l
R-estimator of scale, 尺度R估计量7 w# \! y9 q, O* T
Retrospective study, 回顾性调查
! k! l' M3 V4 ^& E- LRidge trace, 岭迹% \2 W0 v. G1 F V2 F; D( t7 b
Ridit analysis, Ridit分析
8 Z7 J! {9 W* B4 b9 t9 H, B/ TRotation, 旋转
. C1 z$ Q7 H, }$ T; dRounding, 舍入 T, s' d6 a1 _& C' _$ \
Row, 行
/ t2 D! C; g0 U! V* G) F% P/ oRow effects, 行效应* j$ ^) v$ A6 |2 e: v
Row factor, 行因素
' h, r9 q0 {8 ZRXC table, RXC表& M- [" }8 {1 R& }
Sample, 样本! Y& c, w4 @' C7 ~
Sample regression coefficient, 样本回归系数
+ P; y! K, |" I8 GSample size, 样本量8 S; w+ d5 |: W( H4 t) n
Sample standard deviation, 样本标准差
$ g% O, |$ p d- A5 zSampling error, 抽样误差+ t8 p; r4 j0 o; e5 v; e
SAS(Statistical analysis system ), SAS统计软件包' i! }8 @+ x+ f
Scale, 尺度/量表
E* ]+ V& l, ~7 r# O( cScatter diagram, 散点图+ D" _; y% Q& y8 k/ c
Schematic plot, 示意图/简图
8 ~/ h' [2 [- NScore test, 计分检验; e; x3 l& o' Q" s; s% b
Screening, 筛检
/ Q) ^! y+ k5 w2 L6 k3 zSEASON, 季节分析
" Q `! |" L. m/ u% H* r& t5 mSecond derivative, 二阶导数7 n3 q1 p2 K7 Q% A
Second principal component, 第二主成分
/ v3 `, x% c- n1 c5 u* ?( BSEM (Structural equation modeling), 结构化方程模型 ! y$ a) v- z4 m6 e
Semi-logarithmic graph, 半对数图
_3 m! h, y2 y# ` }7 o9 {Semi-logarithmic paper, 半对数格纸
4 C$ s* g4 p6 X% O( z! _ h* `# mSensitivity curve, 敏感度曲线
$ Z) |4 @7 y2 u0 S. u0 P" mSequential analysis, 贯序分析
* X9 U& x( w, h; z0 aSequential data set, 顺序数据集7 o. e, _' v: A
Sequential design, 贯序设计
9 E9 C( T# W% ]' V/ s# YSequential method, 贯序法- {" @/ [4 }' g4 h
Sequential test, 贯序检验法
. @' Q- b, _+ Q% l; F( VSerial tests, 系列试验
/ i' ^. [* h8 h yShort-cut method, 简捷法 ! C' A8 J$ ~; [$ _ _9 b! H E% U8 B
Sigmoid curve, S形曲线
- O0 |) ?% G- T+ U* X2 {Sign function, 正负号函数
1 O" \* |0 [% h: p5 sSign test, 符号检验2 d. k, @+ a2 \9 a2 D+ _
Signed rank, 符号秩
" P) m5 S3 z g {( P- iSignificance test, 显著性检验
7 @* x" P/ ^ `! f( v7 VSignificant figure, 有效数字
1 V8 W. u- i" V) m9 }Simple cluster sampling, 简单整群抽样
7 ]# Y$ K$ `$ n0 P' P& Y1 tSimple correlation, 简单相关 l! r0 |+ T" V0 x+ R' ]5 |
Simple random sampling, 简单随机抽样7 R# q# `- ] J5 R0 P, y
Simple regression, 简单回归
" v. a n/ V. u9 A( Fsimple table, 简单表
8 k' Q3 M, {! {- M3 O: aSine estimator, 正弦估计量: _: ?* L7 u+ K; T4 Z1 y1 Q
Single-valued estimate, 单值估计
4 \, v6 Y4 }9 B: c% `Singular matrix, 奇异矩阵
. U) r# y g5 g2 nSkewed distribution, 偏斜分布
7 @# l& n1 K. N' m! qSkewness, 偏度8 S$ G S- ]' k) [9 N; w
Slash distribution, 斜线分布- b! q. j. v+ `2 r. z
Slope, 斜率
" T1 a, |! w" N/ n, x( p/ H: `Smirnov test, 斯米尔诺夫检验
9 {& b/ w0 J+ n/ gSource of variation, 变异来源
: V0 J! j( q) l, WSpearman rank correlation, 斯皮尔曼等级相关& o% y& I/ G" C3 E' {- h7 e
Specific factor, 特殊因子
, P* @& L0 a) \. |9 c8 n) ESpecific factor variance, 特殊因子方差0 M/ T: J( i; a
Spectra , 频谱5 y$ ^! w9 b- c1 O
Spherical distribution, 球型正态分布
5 \2 G; I" g h4 I' k3 T0 dSpread, 展布' x" _7 a! W: Q* r
SPSS(Statistical package for the social science), SPSS统计软件包% {( h8 j) d0 \3 f6 f
Spurious correlation, 假性相关
9 o; @& n4 |% ^/ e4 p4 s/ p& nSquare root transformation, 平方根变换2 v1 F" x5 K* S- E* ]* g3 u
Stabilizing variance, 稳定方差
. e8 _2 O z5 l O$ L3 zStandard deviation, 标准差 T7 @2 v/ w* Y9 i; k# D% {5 U4 k
Standard error, 标准误" _- N9 V7 ~2 u4 u8 w( F* t
Standard error of difference, 差别的标准误
- G1 n3 b. y8 ?% u2 W5 cStandard error of estimate, 标准估计误差+ Q" S* O% w1 ]( B9 [
Standard error of rate, 率的标准误
7 g+ @; g C+ `Standard normal distribution, 标准正态分布( U' N! a4 |4 e1 d/ L- H
Standardization, 标准化/ {) p1 s1 n- f) D' @* E
Starting value, 起始值6 K; e+ d! N e' d. z* O, Y# i
Statistic, 统计量
! e+ ^6 @4 P M' R+ R! bStatistical control, 统计控制; R. S; y Q" Q/ d; A' x
Statistical graph, 统计图
" s0 D& X+ r5 x! R& |Statistical inference, 统计推断0 f6 v2 `: T. d
Statistical table, 统计表
5 ?7 i1 ?7 I. ]Steepest descent, 最速下降法6 H# n& g7 u* i* {+ Z
Stem and leaf display, 茎叶图* N4 b8 i$ _, e! ]. s) M* m3 u2 v
Step factor, 步长因子+ B1 Y& f4 U% H' A6 I* y
Stepwise regression, 逐步回归7 i2 b' R l& t! Z& T& n
Storage, 存6 K: w' F3 H9 G$ i0 Q% z7 {1 M
Strata, 层（复数）$ K6 E8 G/ ^6 v) \2 p
Stratified sampling, 分层抽样9 \6 H( w0 ^- V( H/ A" N
Stratified sampling, 分层抽样: t2 e, r! R5 Y% \% a3 C( S
Strength, 强度0 l! J. Z @7 H' s
Stringency, 严密性
c' ]7 F, y2 F6 S1 Q7 N, L+ kStructural relationship, 结构关系
' W& T2 \; n7 Q: }% { hStudentized residual, 学生化残差/t化残差3 F% V8 Q+ X! Z5 N: K* p. j9 W
Sub-class numbers, 次级组含量
+ @+ D* L k/ Y$ u! v& H. K/ t: qSubdividing, 分割6 a+ c6 L1 ~7 ~$ q3 f
Sufficient statistic, 充分统计量4 E; }5 o& I# s) f; g3 F3 r6 G
Sum of products, 积和
. P, ^" t" W! Q. W# n+ \% mSum of squares, 离差平方和1 u; N) `2 `8 M# L4 o
Sum of squares about regression, 回归平方和! O' Y$ P$ z1 Q9 v5 W+ `# P7 |
Sum of squares between groups, 组间平方和
) d4 ^2 Z& f' ?: b* m$ q8 [Sum of squares of partial regression, 偏回归平方和
, T% c7 R2 r% \Sure event, 必然事件# c) h' r; V! D! ^; y; l
Survey, 调查2 c: v7 x+ {- ]+ t- `& U
Survival, 生存分析
* Y& P0 h$ Q6 n+ d/ R) J# kSurvival rate, 生存率
0 c9 j, _" _9 ? |0 {Suspended root gram, 悬吊根图
3 j% g: I! D, ~9 A, O* CSymmetry, 对称. m# ^( h; q3 e* P! E' C3 Z
Systematic error, 系统误差; P3 _( k' L2 Y8 A% _
Systematic sampling, 系统抽样
& f- Z, p) x' n) ]Tags, 标签9 L* o. {& j( I5 ~
Tail area, 尾部面积
, y2 z- |- R, t0 e6 }Tail length, 尾长
+ L9 J- c9 G+ A2 |1 nTail weight, 尾重9 S, K# Y0 H) B
Tangent line, 切线4 n+ [) _8 r0 {& E/ T( T
Target distribution, 目标分布; k4 S1 o" H* p: s& g1 ]
Taylor series, 泰勒级数* H* Z# X6 J1 P4 `
Tendency of dispersion, 离散趋势
/ t' k" S" u4 J+ V* k2 Z3 q1 p8 W gTesting of hypotheses, 假设检验7 ~5 C) i$ L3 l" s# v- a& @
Theoretical frequency, 理论频数# `, o3 R3 S! r+ S% h
Time series, 时间序列$ P) b% A* G! Q+ g# `* H
Tolerance interval, 容忍区间
) E3 Y1 Q4 ~- Z- C- lTolerance lower limit, 容忍下限+ Q7 e/ p" D( }& Q
Tolerance upper limit, 容忍上限
3 d# H, s) ^4 ATorsion, 扰率
, ?% n6 e1 H4 ?Total sum of square, 总平方和
' G$ p) X7 e: i2 N# {Total variation, 总变异
' l: p1 d; x6 H8 [Transformation, 转换% a: E+ p: T: e
Treatment, 处理
$ s9 B% \1 ?: a2 z$ w' k0 fTrend, 趋势
3 D* N: D F0 H4 A' bTrend of percentage, 百分比趋势6 c; a/ [6 D- K' p9 E
Trial, 试验
7 a5 Z& o) [0 `5 L9 eTrial and error method, 试错法
+ o: r$ V p9 F: jTuning constant, 细调常数6 F; A) P5 E) g3 y: M, t) l
Two sided test, 双向检验
1 {* y+ V' R, V2 KTwo-stage least squares, 二阶最小平方" m8 J- C+ M- p( f4 K% O5 l
Two-stage sampling, 二阶段抽样% t) a; ^4 I2 S8 f3 w% s$ S( v
Two-tailed test, 双侧检验9 N8 S {7 h3 X; S
Two-way analysis of variance, 双因素方差分析
; b& i) {6 f7 N `3 {4 ^* U& e0 lTwo-way table, 双向表
+ S: @( X5 n. j- o3 C- IType I error, 一类错误/α错误3 T6 }$ {0 Y) `) p
Type II error, 二类错误/β错误+ C& s) u9 K A/ A$ q* T+ S
UMVU, 方差一致最小无偏估计简称$ ?9 c5 ^0 L' u0 D
Unbiased estimate, 无偏估计
0 M$ J/ E9 _ C* U) [+ N, qUnconstrained nonlinear regression , 无约束非线性回归
$ W7 ?' b. w" [+ O" B( `Unequal subclass number, 不等次级组含量- _ j) D( a7 W& d) n# x) S& r
Ungrouped data, 不分组资料
: c2 t/ J V, _. T) Y7 J% l/ zUniform coordinate, 均匀坐标
4 k) b2 l1 c) C+ W* X) W4 qUniform distribution, 均匀分布% l* g& G0 ~; L" P- l
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计 K5 r$ ~6 H( ?, Q
Unit, 单元
8 c) @0 g7 k* }! @; t' VUnordered categories, 无序分类 p w+ I P9 C
Upper limit, 上限9 [8 L S7 e: W, G
Upward rank, 升秩
& r0 d- _2 E8 b+ C, }% O: iVague concept, 模糊概念, p4 z. w5 @" y- U, D* T9 |6 M/ E
Validity, 有效性
& p% V4 G* q9 v/ z6 p0 AVARCOMP (Variance component estimation), 方差元素估计
0 \' [# s/ E' o4 m; U, o* FVariability, 变异性
: r: ~$ v* t) @( J+ L4 A' R7 mVariable, 变量
1 v9 |/ C- K# ?9 P% v2 Q" T8 }Variance, 方差
4 }2 h* Q5 y$ y6 Z5 YVariation, 变异5 ~7 h% J0 R' H0 C! h, g1 S0 S. F
Varimax orthogonal rotation, 方差最大正交旋转
$ i; }+ E- h0 y' D# XVolume of distribution, 容积
- N+ Y) Q: m1 M8 @- E* vW test, W检验9 @ p9 c. A: K& K( R8 l( x
Weibull distribution, 威布尔分布+ i! ^- j. x1 F- [
Weight, 权数
. u! v# g" l+ K* N C5 n# SWeighted Chi-square test, 加权卡方检验/Cochran检验5 z8 g1 K* P; N3 `- D- O
Weighted linear regression method, 加权直线回归
7 M3 B8 y: l5 H- [8 y) l$ a$ M! y+ h& nWeighted mean, 加权平均数
6 c% X( p8 u: ^' u# NWeighted mean square, 加权平均方差/ q. Z# Y/ I+ Z+ {8 |
Weighted sum of square, 加权平方和. J# Q- |, z) T! Y8 |
Weighting coefficient, 权重系数
! h! C* q; p3 {4 h! M o' ^- k5 sWeighting method, 加权法 0 p; r1 j! {9 g4 I
W-estimation, W估计量$ w- s7 f5 G( b5 t2 K! N: ~' g" p* q
W-estimation of location, 位置W估计量3 N. R: a# N) X6 ~0 z* z7 n
Width, 宽度5 {1 D9 K) o" Z
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验$ P* G! ^/ B9 }
Wild point, 野点/狂点 f2 ^+ w [% R: a
Wild value, 野值/狂值- W; }1 a4 O1 m
Winsorized mean, 缩尾均值
2 T( z0 D$ I+ Y* RWithdraw, 失访
F7 U: w8 z3 H$ O. PYouden's index, 尤登指数
L( A# f# {! C3 i7 ?Z test, Z检验
* Y; V+ p& h, V5 v7 HZero correlation, 零相关' K K7 r0 C' \, G* ?- r3 l
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
