|
|
Absolute deviation, 绝对离差- e: P/ x+ W4 E1 }' b* a$ u9 N, J
Absolute number, 绝对数
2 l6 ^! H, E! Z5 ~. U( }1 h% ZAbsolute residuals, 绝对残差% y( {- u/ a8 \2 T( y
Acceleration array, 加速度立体阵
6 u0 i/ G/ ^, @" RAcceleration in an arbitrary direction, 任意方向上的加速度/ a. ^1 ]1 j& t6 ]; w) Y/ l' F
Acceleration normal, 法向加速度% T$ ?* V( I) O4 d' q
Acceleration space dimension, 加速度空间的维数, j5 x1 Z* C. r+ P' A3 |
Acceleration tangential, 切向加速度! f2 V" C& b: n% s
Acceleration vector, 加速度向量
2 l6 |! `* l7 ?6 y3 R$ w* a3 Z; eAcceptable hypothesis, 可接受假设& D8 A: W4 C) j
Accumulation, 累积5 `7 S' `4 K: t2 Y) O
Accuracy, 准确度
9 p/ ^2 p: m; a/ V- C. i! ?Actual frequency, 实际频数
3 v3 @* M3 S ]# b9 O) ^Adaptive estimator, 自适应估计量1 y4 g; @. b1 p
Addition, 相加$ ^; @3 [6 s# `% J9 X
Addition theorem, 加法定理
G, U9 {% q8 a* cAdditivity, 可加性/ n: V4 M9 x( w! \ K) \4 J
Adjusted rate, 调整率7 ?/ M# u! ?" ]( W) p5 ?! Q
Adjusted value, 校正值
/ R2 v" m* o0 _1 T9 `* bAdmissible error, 容许误差
/ X: ~& P( }! t! DAggregation, 聚集性
* o0 O& j. v7 T# |# Q6 w+ WAlternative hypothesis, 备择假设
5 \2 S( o+ f2 y+ \Among groups, 组间" f- i8 w% k) g( J @
Amounts, 总量
) B+ O6 }# R3 V( hAnalysis of correlation, 相关分析
5 r: E; {7 h9 ~3 C H8 o/ bAnalysis of covariance, 协方差分析
4 {, S, Z0 c' bAnalysis of regression, 回归分析4 }9 [* A- L5 Z- j% X
Analysis of time series, 时间序列分析: R) f8 G( \8 s$ v4 K: M
Analysis of variance, 方差分析
. L2 \/ B5 G6 { {Angular transformation, 角转换
; t" a' p9 e; z. O& I8 u" WANOVA （analysis of variance）, 方差分析# O1 |/ j N1 B: T4 k7 B7 d) E
ANOVA Models, 方差分析模型1 l7 s+ x, O$ ^# m7 ~7 b; W- U
Arcing, 弧/弧旋( j- L* B( e. n: ?) G, m, P: F* u; |
Arcsine transformation, 反正弦变换
8 p3 E6 H) U% @* u) f1 cArea under the curve, 曲线面积
# }! H! x* Y) A9 @; g3 ~AREG , 评估从一个时间点到下一个时间点回归相关时的误差 : I: g6 i9 ^3 H
ARIMA, 季节和非季节性单变量模型的极大似然估计 % n6 b- Q8 P& V/ n, n9 I% q
Arithmetic grid paper, 算术格纸
6 h. z3 \4 r0 H- Q* g% rArithmetic mean, 算术平均数2 w$ `$ Y I6 m. O' {( c
Arrhenius relation, 艾恩尼斯关系
8 _' [6 A* A9 ~& RAssessing fit, 拟合的评估3 G, u+ @& _2 K$ X$ W# {6 ~8 B
Associative laws, 结合律
) x" e4 a: h/ e& z+ z( `/ ^Asymmetric distribution, 非对称分布5 f' T% b( L8 z k9 a; J% Y
Asymptotic bias, 渐近偏倚, ~3 P, v- u* T4 N! P) Z9 c3 E1 o; s
Asymptotic efficiency, 渐近效率2 `5 L+ J2 s5 o' j
Asymptotic variance, 渐近方差# x' R" ^8 ~2 d% C
Attributable risk, 归因危险度2 W# t; ~6 W) s" M
Attribute data, 属性资料
/ p! A: \ C* I/ ^% y# r0 `: g SAttribution, 属性
. r& m7 M" n" N5 GAutocorrelation, 自相关
& F U1 S6 s1 ~/ D* x4 k# _Autocorrelation of residuals, 残差的自相关
0 j8 U: r j0 ?; q6 ^7 e$ aAverage, 平均数' _( J2 N# z. `' F0 k% Z
Average confidence interval length, 平均置信区间长度' l7 f" ]. u, n
Average growth rate, 平均增长率* g3 \) {+ ~& h$ ^! u
Bar chart, 条形图
+ N8 J5 o' f& I5 x8 IBar graph, 条形图
0 j9 B2 V7 B" a- U& mBase period, 基期7 @* \! [/ k6 U& h% f
Bayes' theorem , Bayes定理; ?; ? D, d/ ]; s9 v) ?. C! W& ?
Bell-shaped curve, 钟形曲线0 Y% B5 f) x4 r- z
Bernoulli distribution, 伯努力分布# y8 I6 o% L6 D. g7 v# H
Best-trim estimator, 最好切尾估计量
4 g2 g) J ]$ S& x/ [$ wBias, 偏性
( ?3 M v3 \/ j+ k, M. U& H- UBinary logistic regression, 二元逻辑斯蒂回归/ p7 K4 n( K3 T- u1 k, \
Binomial distribution, 二项分布
1 V9 _9 x6 t3 o6 O/ ^4 TBisquare, 双平方- n6 @6 ?' Y5 d; d& e- M( t
Bivariate Correlate, 二变量相关% |3 Y6 S: }) h2 a3 c- w
Bivariate normal distribution, 双变量正态分布3 ?2 M3 w7 U$ A7 O! h7 Y9 q
Bivariate normal population, 双变量正态总体
+ K) D F: S4 p {Biweight interval, 双权区间
9 `# M& Z; X/ o/ [Biweight M-estimator, 双权M估计量
u+ s8 q8 v% ?) yBlock, 区组/配伍组
- D& Z" @2 l( c6 f0 J( R6 cBMDP(Biomedical computer programs), BMDP统计软件包
* _5 X9 z9 |; K u& n* zBoxplots, 箱线图/箱尾图
8 m# K$ _: b* T g$ O6 aBreakdown bound, 崩溃界/崩溃点3 G3 e+ g2 g; m$ B8 g& \
Canonical correlation, 典型相关- P7 M7 Z# ^ b1 D
Caption, 纵标目
) D: b: L# D7 _+ t: \! [Case-control study, 病例对照研究2 I$ [( z/ v- k. m
Categorical variable, 分类变量
, A& S% _, P- L b" Q, uCatenary, 悬链线4 a( _8 E% u1 m0 E
Cauchy distribution, 柯西分布& w% Y: S6 E8 h0 O, C; I S
Cause-and-effect relationship, 因果关系, I! ^/ @( _( u$ a5 J( C
Cell, 单元
6 `6 b. u6 D9 J) n8 v( V5 g d9 uCensoring, 终检) A3 X. A) T) G! [* z
Center of symmetry, 对称中心, }0 b7 E0 B& Q, }6 C5 _
Centering and scaling, 中心化和定标
8 _- C1 _: G! W5 `) w0 `: |Central tendency, 集中趋势, Y9 Y+ y: x1 J" L! e8 {; O
Central value, 中心值
; ^3 f4 Q/ o* j% i& s& QCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
- q0 n; ]' B$ i$ }9 ^Chance, 机遇1 u$ f" z6 s; V% `" o! V
Chance error, 随机误差
$ a7 V% Q1 p+ h6 z9 `# BChance variable, 随机变量5 D; x5 a; F7 v( N
Characteristic equation, 特征方程" M1 M7 z& i! J+ V& h G
Characteristic root, 特征根
+ M2 k, B/ p+ o1 MCharacteristic vector, 特征向量
[0 q- ~, ^; w+ s2 a( FChebshev criterion of fit, 拟合的切比雪夫准则# |8 X, q2 ^0 ~ M+ J: I3 _
Chernoff faces, 切尔诺夫脸谱图7 f4 ^* N( ` T" `) c+ w
Chi-square test, 卡方检验/χ2检验
4 P# B% S& n% E6 R/ qCholeskey decomposition, 乔洛斯基分解
+ }4 ]* e1 V7 ~) H/ zCircle chart, 圆图
% h) M0 S9 B6 K5 PClass interval, 组距
7 y" D! T6 w: U2 A7 K* {Class mid-value, 组中值! h& ?' }8 A- B2 K0 ^
Class upper limit, 组上限/ v% r4 K/ ]4 P' c- W! X
Classified variable, 分类变量) f D1 B4 o) H6 d
Cluster analysis, 聚类分析
: r- e9 J2 f7 a2 l/ cCluster sampling, 整群抽样2 R6 K x4 A$ x+ X" U, \( \
Code, 代码/ }& k0 O8 F, W7 }/ \ y! k5 a
Coded data, 编码数据
1 v! l) u, F* L( a) ^Coding, 编码
" `& B1 U3 Y% h- cCoefficient of contingency, 列联系数
6 ~5 [3 O L7 C' D0 N% I8 _Coefficient of determination, 决定系数
1 k" L% j( p' P5 W9 Z0 X! ~Coefficient of multiple correlation, 多重相关系数2 o# M& c5 S& z9 s+ Q+ W) A
Coefficient of partial correlation, 偏相关系数, Z! @! N ^9 Z+ ?8 f/ c" g
Coefficient of production-moment correlation, 积差相关系数9 b8 J; w" D b& r( c' g2 E) ~
Coefficient of rank correlation, 等级相关系数1 X, j# q) }3 V. F' M
Coefficient of regression, 回归系数& O; Z, _, E' x
Coefficient of skewness, 偏度系数+ |+ I5 [- h! D1 l) @
Coefficient of variation, 变异系数
8 D) S4 |+ Q' Q4 RCohort study, 队列研究
+ Z4 f6 N8 f, u0 c5 _% a) t8 `Column, 列1 h: k7 d/ Z" r6 D, O
Column effect, 列效应9 B! v$ }6 p2 y5 i3 a- i) v
Column factor, 列因素4 L0 J: u! N; K% {% ^
Combination pool, 合并) w/ B/ Z0 J8 k0 N
Combinative table, 组合表
0 C9 r1 x2 R% ^1 |2 g+ P7 K2 G FCommon factor, 共性因子
6 g4 m1 N4 P% ^0 r8 @- v5 vCommon regression coefficient, 公共回归系数6 G0 ^- ^ G6 ?( X
Common value, 共同值
+ w! s' t8 s# g1 D& z4 D% tCommon variance, 公共方差
+ V/ }3 B/ ~. f2 f* M7 B( RCommon variation, 公共变异% J5 v/ k$ _$ }$ r! A) E; W/ y
Communality variance, 共性方差3 W: r$ N" [8 S; g4 C8 T6 J
Comparability, 可比性
& W% y( j+ D0 y+ e, K$ [1 R3 C* kComparison of bathes, 批比较
$ h: L3 M: ?9 r: f/ s; _, lComparison value, 比较值
j3 d; Z. h2 @Compartment model, 分部模型# m1 m1 f& w, [/ q; K& X0 i
Compassion, 伸缩
2 T' V# ]1 C9 D- K' I! a/ HComplement of an event, 补事件
8 J* Q" Y4 ~1 q3 gComplete association, 完全正相关% z4 X+ Y1 {+ w5 \4 ?( D
Complete dissociation, 完全不相关
2 \8 x/ [8 t! `! I" FComplete statistics, 完备统计量: w* h% c$ k8 K6 j
Completely randomized design, 完全随机化设计
6 E2 ~( d1 V9 a' bComposite event, 联合事件& I) c2 i: S; F$ X! W8 M
Composite events, 复合事件
8 F5 N Z& p) K& r4 _0 JConcavity, 凹性
6 h& N/ ~4 f: jConditional expectation, 条件期望
4 j. ^9 q& l, ~+ w, ?/ Z) hConditional likelihood, 条件似然$ \/ ]6 H4 y( o0 n' R+ D) a) b& z
Conditional probability, 条件概率
+ H$ I# x. T) }( W. g$ N; u7 tConditionally linear, 依条件线性' \3 p' g- n4 V1 J
Confidence interval, 置信区间8 j5 x: x0 }, q _* }( Q
Confidence limit, 置信限( W4 _3 x* D/ g
Confidence lower limit, 置信下限
I8 U# U9 n; C5 k9 xConfidence upper limit, 置信上限# |# ]! D; n1 g4 A' D
Confirmatory Factor Analysis , 验证性因子分析
3 N8 J. p$ c" O2 x* t, F1 i! H( f0 ^& {Confirmatory research, 证实性实验研究 h" }( U/ \; L& ]- r: N
Confounding factor, 混杂因素4 q5 Y& y, f5 f6 s6 c
Conjoint, 联合分析- h: t7 D: R. b5 ^$ h- O, L
Consistency, 相合性
0 E3 O, u7 h# R9 J9 ^8 i8 _Consistency check, 一致性检验1 k# ]5 [" O3 U/ Z, j; G
Consistent asymptotically normal estimate, 相合渐近正态估计 U! W9 \8 f& u5 M5 U
Consistent estimate, 相合估计' Z/ ?2 m3 o( |
Constrained nonlinear regression, 受约束非线性回归
1 W. S( _% K4 Z1 E8 ^/ b( FConstraint, 约束, @2 S' }4 S8 Y1 i: E
Contaminated distribution, 污染分布+ }0 R! v6 _9 v# j
Contaminated Gausssian, 污染高斯分布
, ?- U7 ^6 u$ Q* z Y9 mContaminated normal distribution, 污染正态分布, U7 y+ Y# k. l: k
Contamination, 污染
& s& P* H* I/ l4 K, N7 oContamination model, 污染模型
" a4 z' f6 X8 Z1 MContingency table, 列联表6 F; U# a, f( s9 q
Contour, 边界线
$ {* W( \0 V" c% aContribution rate, 贡献率
( x9 c- I% b$ q5 q' s9 DControl, 对照
# ]1 W6 j9 ?( @/ i# h6 `9 yControlled experiments, 对照实验: K/ Q. ^5 [6 G3 V# I3 X
Conventional depth, 常规深度 {& Y6 b" \' Y# W* \! z2 E
Convolution, 卷积 _8 v' x& ]/ p) Z( Z
Corrected factor, 校正因子8 n1 l- z. c8 I5 M* X9 M3 c- j9 e
Corrected mean, 校正均值
) D, x- v4 {6 {/ n! P8 J2 kCorrection coefficient, 校正系数4 p; ?5 `( h4 v- h9 N! H" U3 [; O
Correctness, 正确性
0 s: u' h- P* W% T& t5 s) NCorrelation coefficient, 相关系数
: V5 j" i8 H' `Correlation index, 相关指数! Z( f; I$ X3 M% k* l- f5 g7 H% _
Correspondence, 对应0 |" c% e& W2 |( S. v- {+ V0 a
Counting, 计数- B3 w& ]- W' C$ X6 X
Counts, 计数/频数
) \6 j9 A! K! P0 }% Z7 `: z9 eCovariance, 协方差- R& j; b, i: k5 x
Covariant, 共变
$ F. N% m: U5 T6 FCox Regression, Cox回归0 s# }, c) ]6 Y9 p1 T" l1 K0 @
Criteria for fitting, 拟合准则; L, I' g: o% @7 m" \
Criteria of least squares, 最小二乘准则
+ o" |" i( `4 A: v/ j; |Critical ratio, 临界比
8 d3 z7 v* E, e" [- y7 ~Critical region, 拒绝域
# y5 _# O% l# I, h7 m" [Critical value, 临界值% U: ]7 W& ~+ f! W" Y, [
Cross-over design, 交叉设计
7 |6 z# w/ M! |2 x4 gCross-section analysis, 横断面分析5 y- b1 ?' S$ E" N Q
Cross-section survey, 横断面调查
3 F( R% j w# h& U" ^ j+ o2 X8 TCrosstabs , 交叉表 - a5 ~5 H+ H( O' A
Cross-tabulation table, 复合表" C. [/ P" {7 h; ]
Cube root, 立方根3 ~3 q8 |! E1 B' s
Cumulative distribution function, 分布函数
6 d4 a! k$ Y& k% Q& ^Cumulative probability, 累计概率/ c# z7 ~( ^8 P x$ Y
Curvature, 曲率/弯曲- X+ Y. R- B; E9 C
Curvature, 曲率
- W: e$ [: N/ Z5 U7 L( v- ZCurve fit , 曲线拟和 6 S9 n/ f% ?0 D
Curve fitting, 曲线拟合
% Z# j+ W; d, d4 t; d, A1 hCurvilinear regression, 曲线回归. N) O0 O# U. y5 O- k6 \. c" L
Curvilinear relation, 曲线关系& i7 P9 c+ `2 g; d
Cut-and-try method, 尝试法+ c5 G# {/ `0 j0 A
Cycle, 周期
' _- [" ? g4 I2 h! [& S: I1 u( XCyclist, 周期性
& K9 X9 A8 |( s/ m2 dD test, D检验+ I$ l7 Y J* \7 i
Data acquisition, 资料收集- A% P4 r% ^& g7 w3 j1 t& p
Data bank, 数据库
; b9 C( Y9 a( CData capacity, 数据容量. N2 `9 E. l, S
Data deficiencies, 数据缺乏
$ l) [# ?6 }, c: W) b2 s) VData handling, 数据处理
7 F9 ~+ }2 m5 h. xData manipulation, 数据处理7 m" ^5 J+ R- [" q8 N. x7 Z1 _8 @
Data processing, 数据处理+ B s3 r5 G' t
Data reduction, 数据缩减
4 H1 ?0 R1 v. K" d7 u- OData set, 数据集
* D2 ?+ M& c* ]3 _( RData sources, 数据来源% F+ T& V3 S3 ^, P' _
Data transformation, 数据变换) D% I! p1 k, t. L
Data validity, 数据有效性3 w- R$ | ^5 S- {* y" k: }1 G
Data-in, 数据输入
( y+ q0 A1 d: T# tData-out, 数据输出
' x; Z) }8 P1 v. VDead time, 停滞期. [' M6 H) E1 c2 }# A9 G
Degree of freedom, 自由度8 z$ h' Y c/ @! r" V2 A( B: X; P
Degree of precision, 精密度" u6 j- w% ?# U6 Y$ r8 s- Z# `$ x
Degree of reliability, 可靠性程度
8 F6 }! s" {, i0 |. ]! q. DDegression, 递减; B. }! V! N4 V! E/ p; |# t
Density function, 密度函数/ K/ d% h0 F# [$ o- C8 @
Density of data points, 数据点的密度
: j& x" b! \3 w* nDependent variable, 应变量/依变量/因变量
- x* f2 `0 B1 t1 xDependent variable, 因变量) C: Z! V) y' r2 e& i! e6 k0 p
Depth, 深度
0 T3 v2 {+ C+ O! zDerivative matrix, 导数矩阵
! }: u" G% S% s0 e' T1 TDerivative-free methods, 无导数方法$ [2 t! G. d( [9 q
Design, 设计
% t: r5 [, _2 \Determinacy, 确定性! G6 \4 q- D! {6 U
Determinant, 行列式( \3 {! J/ f8 x7 ]% e
Determinant, 决定因素
5 J1 ]" D# [- ~4 E0 `' sDeviation, 离差4 I8 J& g5 P7 q. A/ X r$ |
Deviation from average, 离均差
e8 ~. F1 D! `# w9 e& F, HDiagnostic plot, 诊断图; n w! P; b1 e& \4 V
Dichotomous variable, 二分变量
8 s9 r! x* A9 W5 u, e( m- ^5 @ ]Differential equation, 微分方程
: P1 N1 Z6 j+ y$ bDirect standardization, 直接标准化法
" @* y2 d( l1 o8 U6 GDiscrete variable, 离散型变量
& h$ B9 T' S' ~1 EDISCRIMINANT, 判断
- k6 g0 ?' R) b9 u" d% ODiscriminant analysis, 判别分析
8 M1 d: y+ e% }' ]0 m! ?9 PDiscriminant coefficient, 判别系数' Z/ T6 N9 J# r: j+ @4 A% u
Discriminant function, 判别值! L3 {9 y8 O* J+ f
Dispersion, 散布/分散度
! s/ f8 |. @/ p; Z* ~Disproportional, 不成比例的
6 Q, z7 d5 |+ g4 YDisproportionate sub-class numbers, 不成比例次级组含量1 d" J* c1 b' P$ G$ Q6 x7 n
Distribution free, 分布无关性/免分布
) g; v7 @, X, \8 lDistribution shape, 分布形状( m5 t* N, U4 d. F1 q- N
Distribution-free method, 任意分布法! o; A' a3 o! t) G; g" x
Distributive laws, 分配律" B4 g" c+ s( g6 A- t' D' Z7 t
Disturbance, 随机扰动项
/ V0 x* Z+ O6 g: K# T1 |* t- Y9 sDose response curve, 剂量反应曲线
`) C3 g7 _+ L) ^$ f1 TDouble blind method, 双盲法( ` Q; s+ B! X0 B$ n ~ X
Double blind trial, 双盲试验. a, Y- |+ W/ a2 t+ s
Double exponential distribution, 双指数分布
8 c7 D" ]% ]) |, n8 U/ e& h9 N: ^Double logarithmic, 双对数
" h' b/ }" t7 }$ ^" B5 K7 q) h8 ]Downward rank, 降秩" ]: R( }/ u7 |
Dual-space plot, 对偶空间图
/ Z* k; X9 ?6 ~2 F& E! f4 ^% `DUD, 无导数方法2 c9 T1 r7 [, `2 }! S2 s
Duncan's new multiple range method, 新复极差法/Duncan新法" S0 L: }' B1 [; E5 ]1 F s
Effect, 实验效应& ]0 a) o1 Y7 C) i4 O8 k; y- d
Eigenvalue, 特征值
( l! o, a2 p; `) \. ^1 mEigenvector, 特征向量. U4 B" r, ~' g2 K2 t$ H
Ellipse, 椭圆
; y U+ w D2 s3 A) E% s0 }: UEmpirical distribution, 经验分布0 d7 a3 J/ d$ x' d3 C
Empirical probability, 经验概率单位
, j* |: \3 d- P8 f! yEnumeration data, 计数资料9 ]; ~* p, ~6 W# q. ]- ]% t! ^' b
Equal sun-class number, 相等次级组含量* x1 \) v( t8 H- ~/ i- G' m- o
Equally likely, 等可能
; {# e" _1 ?" D6 w/ A7 [Equivariance, 同变性 R1 b: x1 p$ v! w* C1 u$ R
Error, 误差/错误, x/ \2 Q x* c. \: o/ x- H- a
Error of estimate, 估计误差
1 v0 z. V& I: U9 y" x0 J2 YError type I, 第一类错误
1 i Y8 p' Q, ]( OError type II, 第二类错误
' b+ r1 p9 M6 b6 ~ [, fEstimand, 被估量
( |: I- W+ q/ jEstimated error mean squares, 估计误差均方
) T$ t# j8 w+ f- t+ j4 V( PEstimated error sum of squares, 估计误差平方和
( S3 q: c8 Q* R: Z3 PEuclidean distance, 欧式距离
9 F; D# }0 ?" L5 I# I. E. ^Event, 事件; r9 E% Z+ f z/ N5 G6 E
Event, 事件
) O$ O# K: b# b! W9 lExceptional data point, 异常数据点( U f; R; E. x& f
Expectation plane, 期望平面2 j! t9 V7 f+ g
Expectation surface, 期望曲面
: O, L! H' D/ U% RExpected values, 期望值
$ k* p. ^; [) _- BExperiment, 实验: i# b3 F4 M/ f" E8 S( I
Experimental sampling, 试验抽样0 r4 J2 ]: W# t8 [
Experimental unit, 试验单位; g2 i& m# i8 [8 `8 e2 [" n
Explanatory variable, 说明变量
* D, d6 z. E* |' X; m* E, R! RExploratory data analysis, 探索性数据分析3 c0 v/ R: I% x# M. L
Explore Summarize, 探索-摘要$ Y. f" [9 h Y1 G, A
Exponential curve, 指数曲线
: L8 H W* j9 x& cExponential growth, 指数式增长7 N' \9 a* g: j- }6 w
EXSMOOTH, 指数平滑方法 8 A" s7 i, R# w9 l9 O; j& g
Extended fit, 扩充拟合
+ `. j4 c, f1 Y$ a# B8 EExtra parameter, 附加参数
8 a# X8 |5 A/ } x7 xExtrapolation, 外推法0 `4 u3 X; n8 j9 u" B& r
Extreme observation, 末端观测值8 H* ?$ y. x v6 M# e- f
Extremes, 极端值/极值
b# C. m& U+ }F distribution, F分布
. j# z2 B1 ^& J7 G; }F test, F检验% E- \# o7 l1 H B L' _
Factor, 因素/因子& @" j5 g" a# Y2 {, C) H5 g B0 X
Factor analysis, 因子分析. W8 x* Q3 i3 T/ e: Z, k) c A' r
Factor Analysis, 因子分析+ Z; C' K) z3 H E& D6 m
Factor score, 因子得分
# |% a2 ?. y4 T3 sFactorial, 阶乘( b; f) ~+ p' F6 a8 B$ Y( v
Factorial design, 析因试验设计
3 A+ }9 P6 ^+ n1 \+ yFalse negative, 假阴性
3 G% B( E) _) [6 {3 n+ MFalse negative error, 假阴性错误
9 ] u# g! q; f- {4 p9 WFamily of distributions, 分布族9 x0 ^7 [/ g: Q6 T. G9 H
Family of estimators, 估计量族
' n; r7 w2 V) F2 s |3 i" XFanning, 扇面9 u% C! ?6 j0 `3 m
Fatality rate, 病死率
1 ~) N4 d3 ^& h2 |1 e. GField investigation, 现场调查
+ [- j; o6 N: X' d( ^! kField survey, 现场调查
8 h9 u2 I% r+ O2 X U# L) X5 [Finite population, 有限总体
5 I6 t2 {* c Q% t( g1 G! uFinite-sample, 有限样本
; W5 n; K3 G. }; p2 u& [First derivative, 一阶导数/ R/ f1 m6 \' a; k& t) @0 O; ?
First principal component, 第一主成分
6 b2 N# m- f3 L2 H2 FFirst quartile, 第一四分位数
) W& c/ H: V' ~Fisher information, 费雪信息量
& _$ O& ~) n% u4 zFitted value, 拟合值
( G' X) a5 T1 P/ n- s' [4 {2 v! jFitting a curve, 曲线拟合
/ Q3 a; j# ]7 x, ?( V% F TFixed base, 定基
! r( f: w1 A* m6 t* mFluctuation, 随机起伏! b. N, a- |; n6 b* b
Forecast, 预测2 y; @: e+ @0 W, @8 `4 {" J
Four fold table, 四格表2 i s& r' k5 h# d. p
Fourth, 四分点
" ?& z* z4 D8 \' W$ C$ cFraction blow, 左侧比率
* y4 w; }8 F( v$ yFractional error, 相对误差5 V: e5 K' I; _# Z F, w
Frequency, 频率) ~, ~* N6 `% B4 D* V
Frequency polygon, 频数多边图! |) o5 ?& z) F4 e+ j% J
Frontier point, 界限点/ S3 w5 ?/ Y- {6 W8 y6 A
Function relationship, 泛函关系
' b4 }( d4 L" t' YGamma distribution, 伽玛分布9 T$ ? T& B! P# |- c H
Gauss increment, 高斯增量
' p: H8 s" M) tGaussian distribution, 高斯分布/正态分布
7 g2 Y" G$ q# Q6 e+ \6 w* LGauss-Newton increment, 高斯-牛顿增量( ^3 ~; F* @# S9 V d% ]9 p3 ?
General census, 全面普查, ?3 y& A* [( B# |
GENLOG (Generalized liner models), 广义线性模型 : k3 ^1 ^0 j! j: |2 b$ h2 |
Geometric mean, 几何平均数
; a. e6 Y3 r. m9 n6 ~1 LGini's mean difference, 基尼均差
- {+ H! x6 r z2 n$ j, U0 U( W4 {GLM (General liner models), 一般线性模型 9 }) D# s8 n8 m1 t% j W" e- V
Goodness of fit, 拟和优度/配合度
; M w" V, ^- Q/ ^% A5 aGradient of determinant, 行列式的梯度4 H2 U3 L5 f0 s* E
Graeco-Latin square, 希腊拉丁方
8 c; n- u( Y& A$ Z' u* PGrand mean, 总均值
7 [$ @6 E3 K8 p6 F1 @& Q) D! `Gross errors, 重大错误; @6 o' J6 `8 z4 s4 H% y8 @3 p
Gross-error sensitivity, 大错敏感度
; G' @/ ]! J4 D+ E* dGroup averages, 分组平均
. B5 j$ p1 |; Q+ l& \Grouped data, 分组资料! w8 i/ Q4 z. g l
Guessed mean, 假定平均数, Y- n$ J$ v# a a/ B* o H- L5 a
Half-life, 半衰期
/ T% V# a9 _$ `$ n0 X' JHampel M-estimators, 汉佩尔M估计量: Z6 j& A$ T6 `; j @
Happenstance, 偶然事件
/ x* Y, {$ F9 d$ oHarmonic mean, 调和均数8 l% C4 @; I8 ?# f
Hazard function, 风险均数
! Y% G- b7 C x. OHazard rate, 风险率
6 x( T4 a8 \8 m- \$ [6 THeading, 标目
, M4 r; i3 R. u! [# kHeavy-tailed distribution, 重尾分布3 P* c7 Q. m& F1 g7 B
Hessian array, 海森立体阵
( l; L0 c3 f" o9 }Heterogeneity, 不同质
# k4 E# S- I6 G/ O4 t/ P) MHeterogeneity of variance, 方差不齐
, Q" h/ s0 D2 y! N9 P% THierarchical classification, 组内分组
5 J: L+ S( l- H/ J6 d7 gHierarchical clustering method, 系统聚类法. n$ b# ?5 c3 m+ ]. L8 n( l
High-leverage point, 高杠杆率点
; @' m, ]) Z! F: ^. hHILOGLINEAR, 多维列联表的层次对数线性模型/ i# g8 ^ q2 D8 i
Hinge, 折叶点
8 B0 G3 P4 H0 y9 V" K5 A& aHistogram, 直方图
) [6 p; |6 O {5 QHistorical cohort study, 历史性队列研究
2 {5 @( ^; k6 _% [6 e. bHoles, 空洞
! A- k: _5 m- k: A; F) m X1 nHOMALS, 多重响应分析" L9 o1 z" q6 C# ?
Homogeneity of variance, 方差齐性
5 i8 ]0 _5 g2 ^5 ~8 l/ B. c' N. GHomogeneity test, 齐性检验) Y2 f) @' ]# ]& L) B
Huber M-estimators, 休伯M估计量' k& g7 z- S7 z$ E
Hyperbola, 双曲线, G; V% z7 y/ f w7 W3 d7 b r
Hypothesis testing, 假设检验# G6 [8 g& I% o { s
Hypothetical universe, 假设总体3 v6 ]9 n3 C5 u: |, l& v/ {
Impossible event, 不可能事件/ `4 z* }6 n# g( f/ X0 s5 F! w
Independence, 独立性
( p5 ? @9 \0 V2 R, H" z: f5 OIndependent variable, 自变量
( Q5 p- j) O- R3 L0 r' F UIndex, 指标/指数
1 h6 m+ l% }% h) S" p6 t. pIndirect standardization, 间接标准化法+ D: ~8 E9 q! y3 m2 ~
Individual, 个体, @' R1 H, @: z3 ~$ x- m2 G
Inference band, 推断带2 @3 M, u9 ^' @% x+ |/ W
Infinite population, 无限总体
+ k& B; a* f3 W0 x. iInfinitely great, 无穷大- P% ?$ |5 @1 z; f% @" g
Infinitely small, 无穷小
) Z' @& |* ~$ |, A+ k' y9 \: g% UInfluence curve, 影响曲线
7 f V, B9 K# r. XInformation capacity, 信息容量
5 I( a; m' Y4 g: v/ ~Initial condition, 初始条件 h; ~; a/ w" J6 p3 b @
Initial estimate, 初始估计值) C0 _& \8 Z0 g9 h) C% n
Initial level, 最初水平
/ @# o8 W/ }. \' F OInteraction, 交互作用: e" [7 [; @6 Z. d% @1 }
Interaction terms, 交互作用项3 `3 t V9 [$ ^. d
Intercept, 截距) Z I0 z" V6 U( Z: l5 n2 T
Interpolation, 内插法" C/ u1 Q6 [& |6 z8 Q% B. x% w7 c; J
Interquartile range, 四分位距
- u6 f; X! v1 Z+ `Interval estimation, 区间估计& `% w$ z9 r4 i9 j- n
Intervals of equal probability, 等概率区间
& X5 b5 w5 b" T. ^, m, s }5 k8 hIntrinsic curvature, 固有曲率% i- E6 K7 }/ F
Invariance, 不变性
9 u6 f! n) R& }8 SInverse matrix, 逆矩阵- Z" t Q+ L5 a# C" \: v2 _
Inverse probability, 逆概率
- q( n, n: Y, w$ j8 X$ E1 j4 FInverse sine transformation, 反正弦变换+ t4 H1 r( u1 w8 k& O
Iteration, 迭代
8 n$ i1 U: h0 P- a% [+ c9 Q5 ?Jacobian determinant, 雅可比行列式
4 j8 [- o) w) O: n% K6 SJoint distribution function, 分布函数
c7 `6 _; q3 D1 j2 P" W1 HJoint probability, 联合概率. N( h3 V9 K0 Z! Z, ?' }% A: Z. s
Joint probability distribution, 联合概率分布
$ r1 d4 G& F! w6 ~ E; JK means method, 逐步聚类法
) J, q1 b& X* B8 L" G! a, \Kaplan-Meier, 评估事件的时间长度 ' A, d' m# \. Y ~: p
Kaplan-Merier chart, Kaplan-Merier图% S+ ~# p* G. D) F- ~' w i
Kendall's rank correlation, Kendall等级相关
) |; v9 l6 n; D' z7 ^* lKinetic, 动力学
2 r0 N6 z$ f0 s% q# yKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验1 h6 n* i3 R& o$ {" [4 m
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验# G7 \8 q) M! _# p8 A9 \ B& X
Kurtosis, 峰度
; p- L5 Z2 @* n. n2 N: O- V0 ALack of fit, 失拟9 [/ [7 b' a0 q+ K- r, V
Ladder of powers, 幂阶梯, l7 H* v9 i, B8 e: o
Lag, 滞后6 P% T5 e/ o3 @: l. E4 {; o* t5 U( {% b
Large sample, 大样本
6 M/ N# `' a% }3 {4 p$ E: s$ J9 FLarge sample test, 大样本检验
4 q+ U+ t" Z" w6 l. KLatin square, 拉丁方0 S! }* X% J% G
Latin square design, 拉丁方设计
+ e5 {( Y4 F6 k4 S& m- |4 ]% p; lLeakage, 泄漏$ R4 W" B$ m" z7 H* J" K
Least favorable configuration, 最不利构形
E, o4 t8 m% V6 f* |Least favorable distribution, 最不利分布' ~$ D' ?( ?: g% _8 r; a F' m
Least significant difference, 最小显著差法
Z8 `0 V9 S- y8 X& z) s7 YLeast square method, 最小二乘法6 y# J2 r3 J3 Y1 M' ^2 q
Least-absolute-residuals estimates, 最小绝对残差估计: ?" k3 y, M+ G" A- @
Least-absolute-residuals fit, 最小绝对残差拟合7 q$ b% F. X$ U7 s2 _
Least-absolute-residuals line, 最小绝对残差线
0 u5 a. f( a$ w% p* u- ?Legend, 图例5 ~, c, Y5 |9 }7 [) J
L-estimator, L估计量: n' ]' e# ]/ A: } _- z
L-estimator of location, 位置L估计量6 c# W& }7 x9 X& x9 ?9 b
L-estimator of scale, 尺度L估计量
+ ], R7 M, _' ]( h0 ELevel, 水平
4 @; j) U: i3 y5 q9 U6 {" O* C0 wLife expectance, 预期期望寿命7 O4 U& s+ Y% A( o' ^6 G
Life table, 寿命表
" V0 v' S+ w8 q4 iLife table method, 生命表法
8 z \0 H. \. s0 sLight-tailed distribution, 轻尾分布
' b( }% r1 Y( @: lLikelihood function, 似然函数0 I+ k4 D0 C5 R9 o* z* T
Likelihood ratio, 似然比
! l2 x9 r: m; I+ n8 G Nline graph, 线图
; o' J) `/ |3 ^. W+ A+ z1 zLinear correlation, 直线相关
/ L# z1 N/ V& y8 X& TLinear equation, 线性方程7 y# n5 y" h& X# l1 y
Linear programming, 线性规划
* @3 O* s' x- p9 X4 D1 ~' RLinear regression, 直线回归
# A+ J6 V* a4 F4 C% M+ DLinear Regression, 线性回归
* |0 W7 V& j7 E& [. |Linear trend, 线性趋势
9 k( v4 D, L0 ]4 ?Loading, 载荷 . x0 C4 @' C" u9 U' V
Location and scale equivariance, 位置尺度同变性% `+ d q9 t# \9 n
Location equivariance, 位置同变性" _' C2 M( f& p: B H% T
Location invariance, 位置不变性( w& k7 g5 Z6 E. k8 a" b8 `2 D
Location scale family, 位置尺度族6 g" g( U# f6 B& L9 x8 x0 f
Log rank test, 时序检验 7 Z; A- W1 @5 W
Logarithmic curve, 对数曲线
) y( v& x' Y! U1 rLogarithmic normal distribution, 对数正态分布
) t% Y4 [+ d& w t0 jLogarithmic scale, 对数尺度
9 u8 k4 l; V3 F3 B- T: N/ bLogarithmic transformation, 对数变换
* R6 X( v" }+ V2 K. uLogic check, 逻辑检查
, y1 r/ {' N3 G" B3 Y0 G0 gLogistic distribution, 逻辑斯特分布' \8 T: V7 @7 V' ]( c; i; f7 B! e
Logit transformation, Logit转换
1 I; ]" B# K# f7 V) ]LOGLINEAR, 多维列联表通用模型 . Y* @% I9 U6 d# O
Lognormal distribution, 对数正态分布# `- k7 _ S' w
Lost function, 损失函数: ?- s2 C. R$ C; \1 B+ T: H2 `
Low correlation, 低度相关
! \% z8 s2 } [0 Y* Q. A. lLower limit, 下限' p3 f! b5 [" C' \9 ]) P- h
Lowest-attained variance, 最小可达方差
/ I+ S+ G" Q# P6 _1 xLSD, 最小显著差法的简称
2 P$ Q5 F x) Q% v5 P% _: }Lurking variable, 潜在变量
) N$ f- l1 p8 d6 J8 RMain effect, 主效应, M, o, ^/ v7 f6 \# ]4 C( h
Major heading, 主辞标目( O7 q4 _" {: [* n4 f% J$ Z
Marginal density function, 边缘密度函数" w8 r& j; h( ? q6 T# G5 d, X
Marginal probability, 边缘概率. V9 p. g1 N$ A$ g% O
Marginal probability distribution, 边缘概率分布
' q; J( Y' T( E6 L- t- dMatched data, 配对资料, |3 t u( ?1 n, b
Matched distribution, 匹配过分布
9 H' M/ H8 l8 H( s) d. x5 j+ I2 @Matching of distribution, 分布的匹配* @! } S: R# v7 L, K& ^4 ] |
Matching of transformation, 变换的匹配% J( M9 m* K6 w/ W3 c
Mathematical expectation, 数学期望! N' ^7 Z) V5 j& G" {
Mathematical model, 数学模型1 l/ F$ x8 @5 t# g
Maximum L-estimator, 极大极小L 估计量 ?9 m' {. R' S
Maximum likelihood method, 最大似然法
3 ^6 n* T/ w5 a* x4 zMean, 均数9 R* J: `- Q5 ^5 u
Mean squares between groups, 组间均方. k9 b9 A, q, \* `* W4 \# a
Mean squares within group, 组内均方) k; I7 T/ l K- N: ~ {
Means (Compare means), 均值-均值比较' x5 }' |% K) j) y1 J
Median, 中位数
1 a% R! q! u2 x! q: F$ [- r0 s3 fMedian effective dose, 半数效量
u8 S& U; ]0 ?8 W3 ?1 I7 HMedian lethal dose, 半数致死量
4 |, Q$ m5 g3 l: [& {* oMedian polish, 中位数平滑
) h" E3 D0 Y% d5 W. n% HMedian test, 中位数检验0 F( b" B K3 [" g E
Minimal sufficient statistic, 最小充分统计量' j' `6 F* f6 X1 Y- {
Minimum distance estimation, 最小距离估计
5 m- U5 s. r" g, ?! S& NMinimum effective dose, 最小有效量
4 \- K) Z& ~' E1 {Minimum lethal dose, 最小致死量4 N [. X" n6 a a2 G! \: Y) ?
Minimum variance estimator, 最小方差估计量
" D: h1 X' L1 `+ u. J4 RMINITAB, 统计软件包/ }4 |! J2 m5 d
Minor heading, 宾词标目
8 [) n8 U+ U7 L+ o; w& V- z6 XMissing data, 缺失值3 k) P! V& g' K+ w& H: b
Model specification, 模型的确定' `9 Y& z, I M- ~5 |! g% o
Modeling Statistics , 模型统计
, Z K/ k$ q, [3 Q" l$ ?Models for outliers, 离群值模型7 Q2 C+ G! {+ N, S
Modifying the model, 模型的修正
) a. T- H: K9 z- }/ \: V. RModulus of continuity, 连续性模
8 h2 Q, |/ J# o$ M0 M6 DMorbidity, 发病率
; M; g# ]! N2 u }/ W+ V, R- xMost favorable configuration, 最有利构形
7 w$ r: T1 o3 A0 rMultidimensional Scaling (ASCAL), 多维尺度/多维标度
, S/ x _/ i6 MMultinomial Logistic Regression , 多项逻辑斯蒂回归
" y( j# |; W ]% h$ DMultiple comparison, 多重比较
; P7 j; `. f- gMultiple correlation , 复相关
' {) N H" F9 MMultiple covariance, 多元协方差 P/ W# j7 M/ p/ a6 c& \: A; O$ ~
Multiple linear regression, 多元线性回归- p' P' R ?* v% }6 c
Multiple response , 多重选项
9 ^8 \& b$ q/ hMultiple solutions, 多解) q$ x. q+ L% [1 _
Multiplication theorem, 乘法定理9 a1 d2 T7 o1 b5 @
Multiresponse, 多元响应
; h. z" }9 T7 ^ UMulti-stage sampling, 多阶段抽样
& i, k2 e2 e. XMultivariate T distribution, 多元T分布6 T6 z: {, H, U; I6 i. ?+ E
Mutual exclusive, 互不相容7 n/ |; b* N* i( i
Mutual independence, 互相独立
( f% ^! b; Y" P3 J# cNatural boundary, 自然边界
, [" y0 Z8 N) s/ x( D( YNatural dead, 自然死亡) I' m% }# ]& d/ c
Natural zero, 自然零/ v8 N4 E B% O; i; }4 }
Negative correlation, 负相关$ v% ?! J4 K* i& H
Negative linear correlation, 负线性相关. Q6 S/ j+ g- O* e
Negatively skewed, 负偏
' q& U! J# U, \' V9 SNewman-Keuls method, q检验
; h* ?' D) i( V1 vNK method, q检验. }8 G( B5 W& ]. r6 f
No statistical significance, 无统计意义 k3 f2 a, r1 u. {% D
Nominal variable, 名义变量 c- Z1 Y% j- w x
Nonconstancy of variability, 变异的非定常性; l0 f2 R; d% a! N# I; L! p1 x2 I
Nonlinear regression, 非线性相关3 }' F; b- G2 D* j; F; @: |
Nonparametric statistics, 非参数统计
2 T- m' U' |, L/ o$ O( ONonparametric test, 非参数检验" O0 M$ Q* h2 {) H
Nonparametric tests, 非参数检验+ l1 I7 `$ j: n5 p3 l
Normal deviate, 正态离差
}, P* W$ B+ gNormal distribution, 正态分布& o( o( F, m7 R4 k% X4 T3 @
Normal equation, 正规方程组
5 J; z. b9 y4 M! kNormal ranges, 正常范围
( }3 J8 t: X5 V- q# L. eNormal value, 正常值9 ~% ]0 y7 r1 r6 z4 c; C! Z' M
Nuisance parameter, 多余参数/讨厌参数
" M& ?# n* e4 u9 B, yNull hypothesis, 无效假设
% q: Z3 Y( W, r* hNumerical variable, 数值变量
* T/ e: t" j) X5 ^4 ]( {/ lObjective function, 目标函数7 y; v7 x+ X9 O+ R8 |
Observation unit, 观察单位" W9 S4 v- S3 i L
Observed value, 观察值$ t! R: l1 @: }. [3 @
One sided test, 单侧检验
Y1 j& ^5 w" z( L8 x) z3 _4 GOne-way analysis of variance, 单因素方差分析
; o, a1 r, o. c+ k9 |1 l, OOneway ANOVA , 单因素方差分析
6 Y2 j( ]7 j# I4 x. J+ X8 [Open sequential trial, 开放型序贯设计( v" c9 T0 K" Z( L6 p* X
Optrim, 优切尾: ?6 p% @& P& n) H
Optrim efficiency, 优切尾效率; I3 T. x( r. T! I
Order statistics, 顺序统计量7 ?4 E5 ~2 z! V: I( z
Ordered categories, 有序分类
4 S% v; m' p! ]# W$ z: u: `Ordinal logistic regression , 序数逻辑斯蒂回归
* c1 {$ \ I1 _3 h8 aOrdinal variable, 有序变量- n# x8 R4 O; j; Q* l, \
Orthogonal basis, 正交基
$ ]7 {3 P$ _$ n' l+ q& ]Orthogonal design, 正交试验设计
# t7 i2 b; n/ v* I4 _Orthogonality conditions, 正交条件
( n+ g B E/ }ORTHOPLAN, 正交设计
' O8 M2 \' S1 JOutlier cutoffs, 离群值截断点
5 n* P4 i* }" \- }+ v' D. NOutliers, 极端值& Y. g# v: `1 i
OVERALS , 多组变量的非线性正规相关
) v' w8 c9 A* R; L; c& u$ p5 @1 xOvershoot, 迭代过度1 @1 g. B3 r4 p/ x1 d
Paired design, 配对设计
" y3 r4 N. [/ O: c$ KPaired sample, 配对样本5 s7 q3 P* |& X9 L w5 m
Pairwise slopes, 成对斜率# `% m t0 `6 t# G9 X, G
Parabola, 抛物线
* f' L* M5 v* g6 O* F) t, HParallel tests, 平行试验1 ]$ V/ h. p; q' m" ^+ q3 X) k- M
Parameter, 参数
- j$ Q) E6 S1 F* d2 bParametric statistics, 参数统计
$ r' Z: g: f o4 N0 M3 qParametric test, 参数检验1 c9 T) y* Z* [( W1 Q2 k" e
Partial correlation, 偏相关, @6 H- a- [" B& l" v
Partial regression, 偏回归
) C. z7 y6 F# w: |* JPartial sorting, 偏排序% N/ { C4 \0 @) `3 ^
Partials residuals, 偏残差# P' [* ` A7 n" P' ~
Pattern, 模式
. H( [7 h( i$ BPearson curves, 皮尔逊曲线; t' u! K) P8 q1 v% g d9 p1 W0 O
Peeling, 退层, y1 J& \8 W$ ~
Percent bar graph, 百分条形图8 o6 [; B; R* b4 j
Percentage, 百分比
2 C: ^" U0 W9 I" g3 T) D% f$ iPercentile, 百分位数
! B b* X5 ?* Q+ Y3 g3 `) m$ Z- m' y( h$ LPercentile curves, 百分位曲线
8 [! L5 o! _' TPeriodicity, 周期性: l) i r, I8 G1 S$ v
Permutation, 排列/ I& Z# E8 B: o: }
P-estimator, P估计量
0 z2 Z C v" M: p% T% p! APie graph, 饼图* r1 @' G8 i: y1 E- h
Pitman estimator, 皮特曼估计量8 E- K; Q! H+ @- U6 O1 D$ @
Pivot, 枢轴量- d0 @4 x' R9 u; S3 H, z
Planar, 平坦5 V7 K+ `4 S. k5 Q2 q
Planar assumption, 平面的假设
9 G/ A5 o3 t2 D- h# b4 U/ ^PLANCARDS, 生成试验的计划卡6 w5 e( @2 x2 f8 Y5 E
Point estimation, 点估计
$ e9 F o8 d. N! aPoisson distribution, 泊松分布: |1 c/ v* r+ m
Polishing, 平滑
# e8 A9 C0 b o2 h% D& qPolled standard deviation, 合并标准差
: e2 E4 q" e" J1 r: aPolled variance, 合并方差2 t5 i8 W0 y# ?5 F
Polygon, 多边图/ q8 ]3 \$ V/ a0 M% k. T9 j0 s! b
Polynomial, 多项式0 W8 A9 L- l( a) Q0 |) |
Polynomial curve, 多项式曲线+ t. D I' s( M' l
Population, 总体
, x3 G' Q; _" oPopulation attributable risk, 人群归因危险度
( r! ?% J9 J1 L9 g+ Z- |Positive correlation, 正相关
6 C1 D" h9 k. y p- DPositively skewed, 正偏) d2 F4 f$ S- Y7 C3 D/ L: P1 y% }9 b
Posterior distribution, 后验分布
7 D' ~; N4 ~/ n6 s8 w% e1 h4 ~Power of a test, 检验效能
. ]. X1 a" n) P" l3 b- V0 p Z( bPrecision, 精密度
* E0 v/ G4 X# mPredicted value, 预测值
0 i$ N J, [# v" w3 A8 F, ^* ~ oPreliminary analysis, 预备性分析
7 k6 A2 Z N( N e1 u8 S2 fPrincipal component analysis, 主成分分析
9 f- o6 ^8 n+ \. B/ _; rPrior distribution, 先验分布, X* H; X Q# a. o, a
Prior probability, 先验概率$ l) \# I9 A4 ^6 m2 F* b) j
Probabilistic model, 概率模型
' K) }! g& K# O( nprobability, 概率
$ S6 N. v5 ~: t' g5 U5 H4 S& J: a tProbability density, 概率密度) ?; k& ]0 f3 ?& j# s1 `* m& d
Product moment, 乘积矩/协方差
6 J Z. I" _ y( F' ]8 z6 MProfile trace, 截面迹图5 y8 _; t, K$ j* h1 I% O+ o9 q
Proportion, 比/构成比( c+ p, F) t. Q3 q9 o0 Q' t
Proportion allocation in stratified random sampling, 按比例分层随机抽样
$ L* j0 q/ ]1 ]7 fProportionate, 成比例7 W/ y+ k/ o+ e# Z0 h6 X
Proportionate sub-class numbers, 成比例次级组含量
3 P" o w. ~6 ?Prospective study, 前瞻性调查+ m7 f3 z$ P3 o& l
Proximities, 亲近性 3 ^% q0 s+ t7 }" W! C4 m
Pseudo F test, 近似F检验
, g' ^6 ]& l3 D+ A b' cPseudo model, 近似模型
6 C* o, K2 p, c1 X4 [. |5 `3 qPseudosigma, 伪标准差
, Y1 |. ?0 s3 k" d* g) D; cPurposive sampling, 有目的抽样( o+ ^% T# p4 O. r
QR decomposition, QR分解
8 e# T% H- D$ n7 |, }( D& kQuadratic approximation, 二次近似7 U/ t- A' u; N6 I; s
Qualitative classification, 属性分类2 j( ^" v5 i) c. J4 m2 o" k
Qualitative method, 定性方法# a* i+ ~5 k8 w* ~# Z
Quantile-quantile plot, 分位数-分位数图/Q-Q图
, c9 E, s2 c+ `8 n3 E5 |Quantitative analysis, 定量分析1 O- r) ~0 T2 ]9 r1 h
Quartile, 四分位数4 |9 C5 j/ r( T+ F; x3 Y5 Q
Quick Cluster, 快速聚类
+ m5 z l7 E+ e0 w6 RRadix sort, 基数排序
% |6 {- w# g6 b) mRandom allocation, 随机化分组
! p+ `* x) u% c$ D1 k+ H9 Z rRandom blocks design, 随机区组设计1 S7 l" g* {) J2 |6 Q x/ k6 w3 O
Random event, 随机事件* E- R& W( y/ C4 H \* z% q2 s' s
Randomization, 随机化1 R" S3 N; R' H0 t- s5 k6 o
Range, 极差/全距
$ b- w+ k {: t1 G7 @, {Rank correlation, 等级相关
& ~8 ~4 x4 h( r% d8 SRank sum test, 秩和检验' w% x: |, m* L5 u
Rank test, 秩检验
! ?' p" {* ~( _4 y7 }1 dRanked data, 等级资料5 M2 q; Z$ J3 E$ q4 P+ |, M$ Y
Rate, 比率, h8 O2 @9 ^4 S/ c
Ratio, 比例
: b( z$ y1 l+ j' t$ ]Raw data, 原始资料3 o. a* z7 ~6 H! X( `# m) H# X2 Q
Raw residual, 原始残差. U$ h, ]; y" `8 v: S/ |1 F' j
Rayleigh's test, 雷氏检验
, D$ D! p7 ]1 s& C' GRayleigh's Z, 雷氏Z值
* C4 v2 {; G4 G% ^Reciprocal, 倒数
/ n b# B* `5 U+ |0 hReciprocal transformation, 倒数变换$ l( J$ X9 U% p
Recording, 记录
! L( {9 ~ W( HRedescending estimators, 回降估计量( m, z8 U s) q, O3 v6 D
Reducing dimensions, 降维
' ?/ M9 ]" d/ i. j1 g9 F0 q( l& yRe-expression, 重新表达
+ t J, H/ f7 O; t" n/ N9 jReference set, 标准组6 w; n2 F) t, U" |
Region of acceptance, 接受域
5 j. r1 R N8 ~& u mRegression coefficient, 回归系数! V5 z9 @0 I3 v7 ^2 H& D e
Regression sum of square, 回归平方和' `0 O ^, n6 \) J% i4 q
Rejection point, 拒绝点, W9 L9 N. [- @% W7 {
Relative dispersion, 相对离散度
" c" i3 ]6 \) P' C( VRelative number, 相对数5 b' K. n8 V3 i: r# `
Reliability, 可靠性
" ?" y% l4 s9 P& f* U5 M3 x% fReparametrization, 重新设置参数
7 N2 _( w& n D* Z" k6 f RReplication, 重复8 M# N% }! B+ q# i
Report Summaries, 报告摘要
8 e9 @' d& I% C" k/ Z- C. YResidual sum of square, 剩余平方和! L0 }, m( ~# s6 I8 ^# V
Resistance, 耐抗性
5 |' Y$ V2 p% N4 L4 A( b% }% m5 @Resistant line, 耐抗线1 I5 S' ^) @* K. F- ]8 M
Resistant technique, 耐抗技术
9 a# Q6 b ^+ g2 {& C7 |+ ~# ]4 bR-estimator of location, 位置R估计量2 ^, r% V/ L: ~, j' o% E/ w
R-estimator of scale, 尺度R估计量8 S2 C3 p4 Q' h
Retrospective study, 回顾性调查
! _9 `/ m5 }3 |& y8 mRidge trace, 岭迹/ T1 {' m. V$ b8 G( [3 |' v
Ridit analysis, Ridit分析# A9 | T3 n4 _$ F" o2 v
Rotation, 旋转
! z" G6 L8 }) tRounding, 舍入! P. I- Z! K6 {* P* n! O
Row, 行: Z) d1 r# R& U0 q
Row effects, 行效应
1 d: W7 E4 v, G# i: hRow factor, 行因素7 l9 j5 H# z2 L1 H7 v/ L* O! X3 o
RXC table, RXC表' x; z3 ]3 ]% C
Sample, 样本& q: h4 ]1 W5 J3 O7 j' ^- ]/ Q
Sample regression coefficient, 样本回归系数, a5 S5 A; M3 M, K: b" H
Sample size, 样本量
! ~! d# S' o& }Sample standard deviation, 样本标准差' I, U0 O* {# i& f3 n
Sampling error, 抽样误差
9 U- j# [# E) z& C: ?* aSAS(Statistical analysis system ), SAS统计软件包
+ y( N4 E3 p: g( {$ R: JScale, 尺度/量表9 g+ M+ m$ S' n2 w) X% ]
Scatter diagram, 散点图; x5 x$ Q1 v1 T0 P
Schematic plot, 示意图/简图! C) O1 {. @2 p, h/ ^
Score test, 计分检验
" M$ J. I# B* a8 F( IScreening, 筛检
: Y: d; B- }2 |% ]7 c( e9 iSEASON, 季节分析 0 y: r' W+ i, K0 O8 ~; w g
Second derivative, 二阶导数
; R, ^/ g; O7 s: B6 p+ xSecond principal component, 第二主成分5 a! v T% p% }8 L R, z$ d
SEM (Structural equation modeling), 结构化方程模型 * w0 f. v; P1 ]0 K
Semi-logarithmic graph, 半对数图1 m Z$ e) a" |* Z% o
Semi-logarithmic paper, 半对数格纸
) r9 q6 i1 S c9 M! P8 `Sensitivity curve, 敏感度曲线
6 E6 O! C( s9 k2 mSequential analysis, 贯序分析
# @8 Q! t! ?4 h6 Y" }" K+ [Sequential data set, 顺序数据集& }6 o5 }9 L# h' q+ o P' O
Sequential design, 贯序设计
) y( a5 d& I3 ZSequential method, 贯序法" c7 \- `- x+ K0 `
Sequential test, 贯序检验法
3 i3 G8 x# m: O: Y, TSerial tests, 系列试验
7 N* r ^4 n8 n, A: {$ sShort-cut method, 简捷法
1 s, y4 d- e. w$ qSigmoid curve, S形曲线
+ } w# o: _) m W, RSign function, 正负号函数
( y. P2 X6 x( r* CSign test, 符号检验0 A+ c4 C8 q+ J7 n( v v
Signed rank, 符号秩4 b& m8 x0 C3 W8 e
Significance test, 显著性检验
K0 k9 d( N% a: K. a' _8 N# @' fSignificant figure, 有效数字
4 U2 y2 i" E( V4 l0 SSimple cluster sampling, 简单整群抽样
" T8 d5 e9 ~" |Simple correlation, 简单相关
+ m; V6 S" R' u# MSimple random sampling, 简单随机抽样3 @/ ]" A$ N) t$ T3 r: x) v
Simple regression, 简单回归
% f) P0 ]! L6 g5 W/ Gsimple table, 简单表) W. m5 o3 a0 p; S. M
Sine estimator, 正弦估计量
8 Q4 ]1 u8 N5 q; \# DSingle-valued estimate, 单值估计" O4 |0 t# F5 G4 \
Singular matrix, 奇异矩阵
0 f# O) k2 t3 h( x. K7 u. {Skewed distribution, 偏斜分布6 F `$ q" `" @1 c" S
Skewness, 偏度
8 Z: W1 o6 k5 e3 \# PSlash distribution, 斜线分布4 j5 y& E0 f, q. L' |3 Q& x# z
Slope, 斜率+ [! j# A2 u3 Z$ v
Smirnov test, 斯米尔诺夫检验4 o x* |: ]2 H% k. } k9 d
Source of variation, 变异来源) K% \" m* T* [* q5 w" s, o
Spearman rank correlation, 斯皮尔曼等级相关
2 G _) }7 q$ u7 k& w/ rSpecific factor, 特殊因子
" U2 c9 c! Y) o2 [# ^Specific factor variance, 特殊因子方差$ f+ g0 ^7 B/ Z; K* }9 @0 W! _
Spectra , 频谱
2 Z4 K' j9 P- R' q; O9 QSpherical distribution, 球型正态分布
+ [' h6 \. R( K8 cSpread, 展布
7 i" x* L4 R @( XSPSS(Statistical package for the social science), SPSS统计软件包, z1 @$ i' c5 B5 ~' S
Spurious correlation, 假性相关9 J& [5 L# J0 J. G& I9 s. A! t
Square root transformation, 平方根变换
. G1 J: g8 X4 RStabilizing variance, 稳定方差
) P: G, }/ k# V1 I5 F: N! `Standard deviation, 标准差
+ p. b! K/ S) o5 o, `! u7 XStandard error, 标准误
9 k$ U( N* i6 Q5 R$ U" L* aStandard error of difference, 差别的标准误
/ Z. f& y7 X' U# r" D; p1 LStandard error of estimate, 标准估计误差
- A# Q9 I/ C% g8 f% _; d8 RStandard error of rate, 率的标准误
) d" K- k/ Z$ }# U/ K, W) {- z" ~Standard normal distribution, 标准正态分布
7 q# z# G- v* }Standardization, 标准化/ w7 M8 W" H5 p( Y0 ~* o8 ]0 z
Starting value, 起始值6 ?5 r5 Y4 e; @+ z2 o& f+ E
Statistic, 统计量
7 Z9 w# J; I( v8 b }Statistical control, 统计控制
: K' ?0 r7 B/ e/ T0 O* j7 XStatistical graph, 统计图
9 ?& h [2 Y! DStatistical inference, 统计推断9 U* y0 X# v/ g" A
Statistical table, 统计表2 B4 ]" A5 [7 H5 W5 F1 A) p% a
Steepest descent, 最速下降法# N* |0 Z& z# g* Y) R+ [7 v( v! @
Stem and leaf display, 茎叶图
& C4 Z8 G1 H% F2 d ?Step factor, 步长因子) |7 I1 w5 O! v! V
Stepwise regression, 逐步回归) O- d4 i+ r7 X ?) ?
Storage, 存
& _: Z3 X* `' J/ ^0 PStrata, 层（复数）+ G9 a% B/ C+ Q
Stratified sampling, 分层抽样( C1 y5 @7 G& w1 s: Y; l, p* z# V9 }
Stratified sampling, 分层抽样
7 w* ]9 n3 k- s& k* }Strength, 强度9 X* B$ q* X7 v% Z1 O5 T% v# p7 R
Stringency, 严密性% ]3 I. V, I$ C" s; D5 R
Structural relationship, 结构关系& i0 I4 V$ ~% n" R2 U, K; [* H9 R" }, \
Studentized residual, 学生化残差/t化残差
, b* z, R; J/ c# a- |Sub-class numbers, 次级组含量
, Q. C0 d# ~/ |" ySubdividing, 分割1 k. P0 a' u) Z( l; c* u' f
Sufficient statistic, 充分统计量
. L! |( ^! b0 w0 V" {Sum of products, 积和- F1 J6 P W; l
Sum of squares, 离差平方和0 F3 N. B4 o/ y4 P3 ]6 n
Sum of squares about regression, 回归平方和
2 h2 u% r% `* YSum of squares between groups, 组间平方和! v* P7 E ]( o5 O2 P l
Sum of squares of partial regression, 偏回归平方和
- l% a2 s( ^. v5 O+ F" v; H: m; _Sure event, 必然事件% s- Y5 `8 R/ X% G1 o; E) x3 m ^1 W
Survey, 调查
2 ?& D, C- ~6 c( F& TSurvival, 生存分析( c: O/ m. c, U' C; x
Survival rate, 生存率" y! O' ~9 D; r' W, ?
Suspended root gram, 悬吊根图& B. L- J- e9 D! B% v$ F
Symmetry, 对称4 k* ]+ h* v, k5 `* Z( Z
Systematic error, 系统误差
" G3 z) e9 f K0 h- M! K# LSystematic sampling, 系统抽样
2 L6 H0 O4 M! dTags, 标签$ O4 f: m. _3 l1 A
Tail area, 尾部面积7 n: G4 e3 X& V" L$ }1 Z
Tail length, 尾长2 z% ?! Y3 \+ `
Tail weight, 尾重" I/ _# w" ^- [( N6 M
Tangent line, 切线
6 N s1 h/ b/ r9 FTarget distribution, 目标分布
" E/ Y1 t4 s1 H8 b8 w rTaylor series, 泰勒级数
% V5 h. _# W" r% Y; T$ iTendency of dispersion, 离散趋势
5 i! ?& B8 p1 Q) iTesting of hypotheses, 假设检验
6 I( ~4 \7 P: X. ~4 ?. |: ?Theoretical frequency, 理论频数
# {# s) D) P3 p! z9 x$ x! ?6 z3 GTime series, 时间序列
0 ?) V7 k( ]# i' S* n- hTolerance interval, 容忍区间
& Q: V* {7 J6 Z/ O# b: c/ FTolerance lower limit, 容忍下限" d( c5 ^) ~+ h' i% q( P0 a
Tolerance upper limit, 容忍上限$ t# U3 ~& _4 d3 n' G- M
Torsion, 扰率. P1 i8 T: O/ p& U9 f. }- C: _
Total sum of square, 总平方和
/ o- X0 [* u# r7 N! q9 E) `Total variation, 总变异. s/ X# m* @6 Z; n p
Transformation, 转换5 V+ B4 W% T! g2 {5 k- w6 `
Treatment, 处理
* ]1 d8 G/ r; E4 z+ rTrend, 趋势* R( T. f) ^: ]$ T
Trend of percentage, 百分比趋势$ Q A5 G) [; U2 O% G" g6 P
Trial, 试验 D& q' G$ s7 Q, |
Trial and error method, 试错法
4 ^. @4 ?0 ]* T3 h# A. Y8 l2 c$ [5 dTuning constant, 细调常数
" S$ s% W' ]0 v8 nTwo sided test, 双向检验
3 u3 ~7 x I' @4 zTwo-stage least squares, 二阶最小平方
) ~0 j9 I5 k6 t- V( a# ]Two-stage sampling, 二阶段抽样+ X2 W) I) M! Q9 v7 y. u
Two-tailed test, 双侧检验" L+ n. q% y7 c8 [
Two-way analysis of variance, 双因素方差分析
: [( S/ S$ g C+ rTwo-way table, 双向表
/ v0 h' B& B+ d6 qType I error, 一类错误/α错误
6 J) c2 U) }4 rType II error, 二类错误/β错误; D% @% ]3 B! W' N
UMVU, 方差一致最小无偏估计简称5 F, f3 e2 l7 t1 M' r c
Unbiased estimate, 无偏估计- h4 j" {% C4 g5 C
Unconstrained nonlinear regression , 无约束非线性回归( J8 }, ]! [+ Z0 b9 {
Unequal subclass number, 不等次级组含量
$ d: a8 w, e) F. z( o$ i& ~Ungrouped data, 不分组资料6 `* I" H/ x1 Z* _6 I3 q
Uniform coordinate, 均匀坐标
) a, e' a4 q- o1 c! e6 wUniform distribution, 均匀分布
0 W) z6 M$ A9 G# Y L9 nUniformly minimum variance unbiased estimate, 方差一致最小无偏估计
* E( y! ?: B3 z( Z* p- X* r2 xUnit, 单元9 r9 o! l& G7 e7 F# c! I/ u; R
Unordered categories, 无序分类
8 o; ]2 C' L5 ]: m' S9 d' |9 {Upper limit, 上限, y$ r- p0 @" m
Upward rank, 升秩
' j% `, Y, M6 EVague concept, 模糊概念
& O2 O# q+ |( m1 J5 \' ZValidity, 有效性
1 m. ~8 {- r: M% y5 |VARCOMP (Variance component estimation), 方差元素估计% G7 Y2 o, F1 i6 S$ m
Variability, 变异性# T: s( |' P: N( f% l( p* @
Variable, 变量
?0 m! Z; [9 Z6 cVariance, 方差/ T/ _4 n5 I8 Q! P+ B
Variation, 变异
9 W; R+ s/ x' x' J* h& ~9 l( e" VVarimax orthogonal rotation, 方差最大正交旋转4 N; c& v4 u' Q
Volume of distribution, 容积
1 [3 s% \# j9 O- s1 Y0 DW test, W检验' g0 J, d1 V' h3 v+ N( ?* |, m8 T, X. z
Weibull distribution, 威布尔分布) D) u5 Y, |4 `3 n
Weight, 权数
* V; X) J: H& [' V/ WWeighted Chi-square test, 加权卡方检验/Cochran检验. }8 P% A- f) v+ ]2 F6 q {
Weighted linear regression method, 加权直线回归+ [- ?+ `% ]2 r8 B* H
Weighted mean, 加权平均数
* ^; w5 z" N/ X$ L jWeighted mean square, 加权平均方差% y# ? x5 ^' y
Weighted sum of square, 加权平方和
' {. ]: j# b" K" k% ?: F9 e# XWeighting coefficient, 权重系数
- D; |5 m* O( u# J" {: VWeighting method, 加权法 & a) @" ] J+ P* Y+ [0 ~7 A
W-estimation, W估计量0 D. Q5 ?* H" W. M. L) j3 z6 n) j
W-estimation of location, 位置W估计量+ g! }8 u3 H; j/ |' |9 M
Width, 宽度( P+ w' {; F# c P% P" q7 {. ^: {
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
( r; B8 z. {$ c; XWild point, 野点/狂点
. z; ]0 Z; ^' ?- N8 a2 ?Wild value, 野值/狂值) ^- y6 R# Y1 F" I) K ~' C) [8 L
Winsorized mean, 缩尾均值4 \; u2 q" p% _& D6 ~
Withdraw, 失访 ! D. a7 a/ o1 \3 ]" u( P
Youden's index, 尤登指数
0 m$ f) J3 [5 w' q0 c) iZ test, Z检验; P c5 o) W+ f9 [! s. u6 ~ P
Zero correlation, 零相关
$ D1 f1 D6 ~( T" ], O( W" YZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
