|
|
Absolute deviation, 绝对离差
. a2 C' f, ]- o- V/ J$ OAbsolute number, 绝对数+ `- Q. p5 N% x6 c
Absolute residuals, 绝对残差8 D( s+ Y- b! v; m
Acceleration array, 加速度立体阵
v% I7 {2 }$ K$ ]Acceleration in an arbitrary direction, 任意方向上的加速度
: N/ V' A+ c; GAcceleration normal, 法向加速度3 Y+ M9 D+ r7 f/ V
Acceleration space dimension, 加速度空间的维数$ m2 w# H2 W& U
Acceleration tangential, 切向加速度
9 v6 i+ @. G6 Y4 L+ K0 X* ]& AAcceleration vector, 加速度向量5 y/ V$ j+ G( a: ]! [! b9 o! M% b$ ]
Acceptable hypothesis, 可接受假设0 ?2 _7 ?- S$ q$ ?
Accumulation, 累积
: h+ Y" Q' u+ k3 O& uAccuracy, 准确度
1 K4 I$ s1 W5 ZActual frequency, 实际频数9 t" p8 ?. ~9 `2 O3 M
Adaptive estimator, 自适应估计量/ d) N0 `7 l" v% v; F. m
Addition, 相加+ I8 p5 V& K: V) w: c
Addition theorem, 加法定理
& O% S& l l. ?7 \$ o# ZAdditivity, 可加性
: V% R$ ]( T6 o) R; R: J* `Adjusted rate, 调整率( E2 ~3 K0 v' Z
Adjusted value, 校正值
; H+ D1 j- g: L+ {- J( Y1 mAdmissible error, 容许误差
) R. W/ x% ^ y7 P" G9 jAggregation, 聚集性& x N- }; {1 i
Alternative hypothesis, 备择假设
# x# {+ Y* w9 T9 W1 [, ZAmong groups, 组间
: q* a" n: ^6 S$ V$ dAmounts, 总量
2 h: A' M U' a+ S7 KAnalysis of correlation, 相关分析& n" y7 i+ Y. O
Analysis of covariance, 协方差分析+ G0 V. f6 D* O" y# S2 {
Analysis of regression, 回归分析
# l$ K& Q8 o( YAnalysis of time series, 时间序列分析5 W$ O6 h3 Q4 h E5 G9 q1 S8 j% b
Analysis of variance, 方差分析5 X- v6 r: [1 L8 }
Angular transformation, 角转换6 l. |4 B$ f5 W# y$ f
ANOVA （analysis of variance）, 方差分析: P# W8 n5 j, G+ |; s7 o2 ]
ANOVA Models, 方差分析模型+ C G; r6 m6 J" l" N
Arcing, 弧/弧旋
4 ? m' h8 P0 C( \0 ^( iArcsine transformation, 反正弦变换
5 m- G8 V& C+ y, R; i4 uArea under the curve, 曲线面积
4 Z' ^& t- E @% W5 Q. {" }AREG , 评估从一个时间点到下一个时间点回归相关时的误差
2 y( {# ]) M1 J6 y* R$ n% cARIMA, 季节和非季节性单变量模型的极大似然估计 1 M# L5 i7 A' r. K* U H& w! J# `
Arithmetic grid paper, 算术格纸5 t0 ?6 L1 ^8 q, x7 u
Arithmetic mean, 算术平均数
1 g; ?& ?. Z* c2 V, `- E0 rArrhenius relation, 艾恩尼斯关系
" j8 _' U* x& e8 J; ], _Assessing fit, 拟合的评估
5 {* w# E9 T+ Y- ?Associative laws, 结合律5 z3 W$ q V5 U$ U
Asymmetric distribution, 非对称分布& j3 g# M/ Z4 y* K& c( f
Asymptotic bias, 渐近偏倚
5 Y; l2 E: F4 S1 H# z0 LAsymptotic efficiency, 渐近效率" a* d* o7 F# X c' L& b
Asymptotic variance, 渐近方差: i* ?, E- z. S7 R3 h" |
Attributable risk, 归因危险度; n9 \6 h4 Z3 g. e; q6 [5 ~
Attribute data, 属性资料
- V! Y. f( {) XAttribution, 属性! P/ w0 ~2 x! i& y6 Z( K/ p
Autocorrelation, 自相关* v5 L; ?9 v6 O c8 I9 y* t8 {
Autocorrelation of residuals, 残差的自相关3 H9 r8 l3 Q! V5 C8 N7 Y
Average, 平均数
# y7 [& L& T4 x0 t" x2 VAverage confidence interval length, 平均置信区间长度: w8 g- f+ D% t; D, ^. P c2 H6 v
Average growth rate, 平均增长率' w d4 L! [/ `; D6 n8 O, E n
Bar chart, 条形图/ V( l: E) }4 |4 s% f
Bar graph, 条形图7 e# E# \) {8 V! ]' ~# h* t- A( c6 H
Base period, 基期+ Q+ u! w' I3 M# x; {- m: O
Bayes' theorem , Bayes定理
: \$ V! l V- aBell-shaped curve, 钟形曲线9 g. w8 r. S3 S) [8 r
Bernoulli distribution, 伯努力分布
0 H% i1 A# L9 \$ o: xBest-trim estimator, 最好切尾估计量
) X! i' z( ?' W& {8 b5 m! \Bias, 偏性
% f) f; V, W5 a( p0 W, O5 `Binary logistic regression, 二元逻辑斯蒂回归; H9 i: @" R3 S6 b& G E
Binomial distribution, 二项分布( s# S/ G! R/ @5 d! _
Bisquare, 双平方" I' c, k, q, H. J- ^$ P0 W
Bivariate Correlate, 二变量相关" W( m7 O0 j1 ]8 d8 I( c
Bivariate normal distribution, 双变量正态分布
' q! @7 F5 D. `* ~ ]; p: A# zBivariate normal population, 双变量正态总体" _ X# s+ N0 [" g( i1 S
Biweight interval, 双权区间1 P: g }* \+ Q/ j) E
Biweight M-estimator, 双权M估计量 X6 l1 h! u4 w6 ]7 Y
Block, 区组/配伍组
% ]; _: x' y F1 w; KBMDP(Biomedical computer programs), BMDP统计软件包
! O) _7 h/ m0 D& H0 B+ n& TBoxplots, 箱线图/箱尾图! Z8 A, r6 z# j! C/ e( ^$ o, L
Breakdown bound, 崩溃界/崩溃点
7 l7 ]6 h1 ~ u( _8 [Canonical correlation, 典型相关
6 c @% _# V9 ]& }: w6 sCaption, 纵标目1 J) e0 G9 {. l- Y2 J
Case-control study, 病例对照研究% j, M( i. @1 J1 P
Categorical variable, 分类变量1 F$ P% T7 W6 E$ Z) R! I: E
Catenary, 悬链线
' Q* S( j2 b. C HCauchy distribution, 柯西分布' b$ ]9 j2 ]' r
Cause-and-effect relationship, 因果关系
& k3 u7 E5 T U' D; O e: rCell, 单元 F$ x% Y% Q4 e) B
Censoring, 终检4 d& _6 R% N' u. D- e E- l) b$ q x
Center of symmetry, 对称中心
# ]* k+ d& y+ m2 e- t0 B% s yCentering and scaling, 中心化和定标7 ]- v! ^) N& L: n( W+ l: N3 @
Central tendency, 集中趋势
b. g6 D7 l: k: LCentral value, 中心值& S V" H7 `; P, S h
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
" ~/ c9 |2 ?2 ?% \3 RChance, 机遇
2 i C) t$ X6 e$ V' bChance error, 随机误差 [" V4 \- F' a) C9 H
Chance variable, 随机变量
4 y1 x) W+ u9 l6 }! m6 nCharacteristic equation, 特征方程- ^; g; k" ^7 u( g
Characteristic root, 特征根
: a0 {! r1 w. H+ `+ PCharacteristic vector, 特征向量
# B% `6 p) ^# m+ x; f: uChebshev criterion of fit, 拟合的切比雪夫准则
* W' ?- B f% z4 S. D2 O1 yChernoff faces, 切尔诺夫脸谱图
5 x, k/ O6 [5 }4 Y3 H! BChi-square test, 卡方检验/χ2检验* o, ]2 H8 X$ j
Choleskey decomposition, 乔洛斯基分解 T( b' t3 v9 r) e- q$ C! Z- o$ r. |
Circle chart, 圆图 4 z% R' M) N" b2 m, \/ E3 p, G
Class interval, 组距4 J1 E& t P; @
Class mid-value, 组中值, t, P! z# B5 x; O' f A
Class upper limit, 组上限: n1 |3 e! k$ e( s1 W7 `
Classified variable, 分类变量
n+ Q! W* V2 d* u; ^+ zCluster analysis, 聚类分析: W8 C. [7 j7 F
Cluster sampling, 整群抽样2 o% ^3 e3 X6 Z& N2 b% S
Code, 代码 T P, ~6 D; q+ Y
Coded data, 编码数据1 [/ k. m9 B0 z! z: o2 \
Coding, 编码
" y. d0 B) W4 Z6 ?Coefficient of contingency, 列联系数
8 u p0 g. y! `& a" s, kCoefficient of determination, 决定系数7 s( u1 \4 r- e' y4 O
Coefficient of multiple correlation, 多重相关系数7 V9 E+ B/ ] A' Z I1 i0 x
Coefficient of partial correlation, 偏相关系数 I l* b3 E) [; ^
Coefficient of production-moment correlation, 积差相关系数6 h- u: \5 E$ y9 I5 P2 q
Coefficient of rank correlation, 等级相关系数' s# `0 [' \& N' j
Coefficient of regression, 回归系数/ D0 q0 |( r+ M) r1 [
Coefficient of skewness, 偏度系数% t# T! J0 q1 i: b; E3 k+ v0 P
Coefficient of variation, 变异系数
8 {0 R; A p0 T4 K3 _+ ]/ _Cohort study, 队列研究
, d) C( f6 u! F. f+ F5 @8 hColumn, 列
/ r9 ]* {* y7 l/ H1 }( m4 K& e% o. KColumn effect, 列效应6 h X/ y. a6 e
Column factor, 列因素, \% ~, Y! f% y# f& H3 A( C
Combination pool, 合并2 O# l1 W+ k4 g0 C
Combinative table, 组合表
% P* E" _" {; H- b5 r! X% ACommon factor, 共性因子
" K" \9 b; f" x+ i" _( BCommon regression coefficient, 公共回归系数" s7 n0 t& [; h- B$ T3 p% O, [
Common value, 共同值: n/ ?$ T' i0 e* u: _
Common variance, 公共方差1 {$ T! S. C, v# D5 [
Common variation, 公共变异
. E; [) d& j7 WCommunality variance, 共性方差
y- P3 k: G1 i8 |3 U. V' bComparability, 可比性
4 Z, Q) c. r! Y; x) c1 gComparison of bathes, 批比较
7 A/ j p- D3 v6 v6 `5 NComparison value, 比较值
! j( f* `" B+ y; t1 S" h" TCompartment model, 分部模型1 O& _7 B9 x- m( ?/ Z6 O
Compassion, 伸缩4 f; T4 `' `7 |- u5 D
Complement of an event, 补事件
6 T, \$ f8 l' Y' k2 k( bComplete association, 完全正相关5 ]3 D# j/ t4 Q
Complete dissociation, 完全不相关: I+ F/ c, J/ S
Complete statistics, 完备统计量: x% I; r7 ? `$ w) V) m
Completely randomized design, 完全随机化设计- t. D# n: U2 [5 G, ]
Composite event, 联合事件
& T8 L# Q% v2 r0 tComposite events, 复合事件
7 A2 y: C) `7 b/ I% O C' j4 KConcavity, 凹性5 w3 Z. _ Y# a( n+ C9 D9 }) E2 o
Conditional expectation, 条件期望7 x5 W. b! X2 v! A6 q
Conditional likelihood, 条件似然6 \3 _- a$ c5 D6 H0 ^* b
Conditional probability, 条件概率8 a; S$ ~, I( V6 m8 G u) O' A
Conditionally linear, 依条件线性& ~+ x6 @) k, V) L3 V4 N
Confidence interval, 置信区间
1 H5 S5 M: p# P% o5 XConfidence limit, 置信限* ~& Z. b$ S c- Q2 p
Confidence lower limit, 置信下限6 |" c- r% o; X1 s) q
Confidence upper limit, 置信上限8 e1 |0 `1 y" e' p4 j' R. t T
Confirmatory Factor Analysis , 验证性因子分析
% K0 d( w3 | b& c3 f. jConfirmatory research, 证实性实验研究9 h$ C, W3 v. D- z7 K# m! @
Confounding factor, 混杂因素7 l. Z: c! O; e) o, \1 V
Conjoint, 联合分析
" h6 v. K6 N+ t+ Z5 @1 s5 d1 Y) @$ bConsistency, 相合性
; H: I* G$ g4 A; R ~Consistency check, 一致性检验2 Q' H! X$ u$ C7 j
Consistent asymptotically normal estimate, 相合渐近正态估计
1 h f! i7 z* c+ W& RConsistent estimate, 相合估计
) {9 f1 w: L, F) _# H# NConstrained nonlinear regression, 受约束非线性回归
. z1 p* ]# }3 N+ O3 {6 j" D, gConstraint, 约束- T2 h# J& x1 w) m; o* u
Contaminated distribution, 污染分布
2 e' D( x0 _% n) x6 m* P, FContaminated Gausssian, 污染高斯分布
4 x8 Y6 R0 C, k6 f O7 p/ P! NContaminated normal distribution, 污染正态分布# @( L9 }. S2 V
Contamination, 污染
( M# _$ z- r7 L" Z+ AContamination model, 污染模型
5 V* @! G6 L% f3 N; Y# QContingency table, 列联表$ B% u. N( k& Z
Contour, 边界线
+ B' b: ` h% f4 I+ f- [) pContribution rate, 贡献率
. V" S, }! G. r* r$ YControl, 对照0 ~8 {6 O1 F! B3 V/ o
Controlled experiments, 对照实验' P, ^2 ~! _& A6 p5 Y6 ^% @2 D2 V
Conventional depth, 常规深度
( w1 g. k$ Y! b* L# `2 gConvolution, 卷积9 W! S H" H; X- y
Corrected factor, 校正因子
7 C w) ^7 n$ w2 J& O! ~Corrected mean, 校正均值5 z U! _; b9 r% b( V
Correction coefficient, 校正系数# A$ U7 `& y8 M. l
Correctness, 正确性: l3 @% v9 J8 |3 x+ @* p
Correlation coefficient, 相关系数1 A3 O, I2 ^. \# B: L
Correlation index, 相关指数" w3 R" } }1 v& j8 o$ W
Correspondence, 对应1 s6 d `9 F4 F, Q7 l2 Y+ N3 f
Counting, 计数
" d+ d$ R1 J* `& t. W; uCounts, 计数/频数
+ H x) {* A, G* I/ Z. uCovariance, 协方差
7 Y/ P/ l, X0 PCovariant, 共变
9 ]7 v) R% t/ J5 E8 w; dCox Regression, Cox回归! G4 y& q, E: }7 V% B- e9 e6 x" F
Criteria for fitting, 拟合准则
/ T r5 X% k5 f9 ~ P; vCriteria of least squares, 最小二乘准则 R* Z- o% x# Q$ v
Critical ratio, 临界比9 x' j$ g$ \) K: y
Critical region, 拒绝域% i, B' R; W: N7 B; Y$ L% F& h; O
Critical value, 临界值
% w. a) i- | ^0 qCross-over design, 交叉设计) X- D! U( j, U8 c* G
Cross-section analysis, 横断面分析3 c, s S: s" a
Cross-section survey, 横断面调查
! Q8 \! A0 y. Z! \9 l) Z; ~7 `Crosstabs , 交叉表
* p0 Q2 ?6 }/ b$ O' fCross-tabulation table, 复合表
; O2 u9 _0 } C/ M, \Cube root, 立方根1 u+ I4 r1 ]8 t+ \- b
Cumulative distribution function, 分布函数, t R- g; T! V) Q: M- R
Cumulative probability, 累计概率
4 R6 B# ~. E5 t( j$ N! ?+ |7 `! c l; jCurvature, 曲率/弯曲 m3 F S4 L: G. K3 ^' w
Curvature, 曲率
* y, F! L% E- i, Z; v' u2 T) H- JCurve fit , 曲线拟和
9 O' G$ \* O( t# b6 O+ aCurve fitting, 曲线拟合 D/ S2 _% i) d- E( @
Curvilinear regression, 曲线回归
. J/ B b" x' e& ^% C! X: GCurvilinear relation, 曲线关系 A& H/ s! I: ~$ j
Cut-and-try method, 尝试法
7 i! a; l' F/ x, ]3 X* X8 v3 ~8 \Cycle, 周期- G3 k9 b7 Q' p" m3 x$ S6 B! |
Cyclist, 周期性
; Y$ J9 @1 h5 V1 OD test, D检验- g# p* a( t6 t' b* l* N
Data acquisition, 资料收集& j& H m* g$ H2 i1 b
Data bank, 数据库; Y* Y' J& t& |' y5 H- y7 R
Data capacity, 数据容量
9 G; F2 `+ ?1 _3 ?+ y/ S8 UData deficiencies, 数据缺乏/ D, V% K0 x+ i! a1 b
Data handling, 数据处理5 w6 P3 B: |9 _: J
Data manipulation, 数据处理, H7 C8 \8 u2 B3 ^
Data processing, 数据处理
$ l! x1 U; y# M% k9 H% P( uData reduction, 数据缩减, i- S: b l% s4 ~
Data set, 数据集4 r" G& U! F- [" A5 L* h& H$ b* J4 T
Data sources, 数据来源- l& d- k+ m* p3 K
Data transformation, 数据变换
: U7 s \6 _# N+ cData validity, 数据有效性
) Q/ {) K, `* F" z0 O) pData-in, 数据输入
M Q6 V, ?& i) @+ AData-out, 数据输出9 G. d) f# y' }. s# M. [' }, i
Dead time, 停滞期5 T( J* u7 Y9 l. m6 I
Degree of freedom, 自由度
% D8 @, J& h+ N1 o0 O2 m0 jDegree of precision, 精密度
% C" f5 V. Y" H# h2 jDegree of reliability, 可靠性程度! _: q% g3 ]4 w" o
Degression, 递减
I! Q) Z: p/ y3 L& v6 g. n$ CDensity function, 密度函数+ w- {2 | f W$ j; H6 E
Density of data points, 数据点的密度: Z6 V r2 j1 n3 w8 o
Dependent variable, 应变量/依变量/因变量( q; L) z9 u! d0 ^5 H! t1 P( Z
Dependent variable, 因变量
' M& [/ l0 X' PDepth, 深度. I, L% ~& O5 q, p; C6 ]
Derivative matrix, 导数矩阵* o S! X5 s) X2 F
Derivative-free methods, 无导数方法& ^5 G3 e, M0 w" v- s: M( Y8 D6 A
Design, 设计
1 f4 U" b" O9 W! X+ T5 v4 lDeterminacy, 确定性
( R! z+ C$ ~ q: |1 ?" ?Determinant, 行列式6 G! d7 q, C l, Q% e4 V6 e
Determinant, 决定因素
" K9 ^; R c- a9 B' ?: j2 EDeviation, 离差
1 J5 ^! K2 U* ^* e& p* B5 U" b, eDeviation from average, 离均差
# @4 w( h( X; c! }. G( i9 UDiagnostic plot, 诊断图
( Q; A. Z4 N* UDichotomous variable, 二分变量# J n+ H5 e( |; ?
Differential equation, 微分方程
- \2 ^ n, _& b# n8 k5 nDirect standardization, 直接标准化法
6 u; f* f6 q3 Z% ^: j0 N. D7 L) JDiscrete variable, 离散型变量
3 j1 @0 r) E0 n0 aDISCRIMINANT, 判断 . O* h* r% r6 ?3 E$ K; r
Discriminant analysis, 判别分析% V' ^: O5 Z; A% G, @5 H6 O1 ?" P
Discriminant coefficient, 判别系数) }- m. c* J6 D( S7 }& y
Discriminant function, 判别值
" _1 g- K7 ^0 ^7 S: F) R4 Q% xDispersion, 散布/分散度# c" d4 _9 E) |$ m/ ^2 k0 Y4 P
Disproportional, 不成比例的3 }/ m" ?" A# q+ g6 u f
Disproportionate sub-class numbers, 不成比例次级组含量
, g0 L+ b3 J6 T, uDistribution free, 分布无关性/免分布. q t3 u. A; b; ]: c
Distribution shape, 分布形状" b+ ~- X# V( Q& I
Distribution-free method, 任意分布法 n7 U9 k6 f% f) x# d! z
Distributive laws, 分配律
* @1 z: }! f# G; IDisturbance, 随机扰动项
1 r, w& S) p& h" I* eDose response curve, 剂量反应曲线
5 m, Y8 U2 V0 a- sDouble blind method, 双盲法) Q, F9 ]8 ^' E& t, L! [( [! v
Double blind trial, 双盲试验+ m( _( E* l3 { i
Double exponential distribution, 双指数分布3 S2 n1 v, [# }9 \( d z
Double logarithmic, 双对数
! T1 {) \9 m( QDownward rank, 降秩& I9 {1 {1 `( y8 Q
Dual-space plot, 对偶空间图
. N, M$ K# y& rDUD, 无导数方法
! t4 w$ M4 _) H, n: i8 y* RDuncan's new multiple range method, 新复极差法/Duncan新法
]- o0 T! q" OEffect, 实验效应
; D6 \0 i* q' O, O; ^( YEigenvalue, 特征值; A6 A" V8 W5 f6 s
Eigenvector, 特征向量
# D* N' L' f' I7 KEllipse, 椭圆
. T9 q% U- i' d7 w* E+ yEmpirical distribution, 经验分布8 J. }% q& i" c: M; B
Empirical probability, 经验概率单位
- }' k* H8 j3 L& Q* N9 |" GEnumeration data, 计数资料
3 ^/ V( w* n2 w aEqual sun-class number, 相等次级组含量
8 o& u! J" R( A) t" \Equally likely, 等可能$ t' C: W2 a. e9 m9 v
Equivariance, 同变性
/ K4 b6 W# I5 _1 uError, 误差/错误
) L5 c' L9 G- W3 j% uError of estimate, 估计误差
. _2 H# k @1 L9 A. d8 o: MError type I, 第一类错误' T5 G& g' y/ s: t: X$ U
Error type II, 第二类错误
. l7 m6 `) I U, W) O- _Estimand, 被估量7 D" ^, K; I2 l1 Z0 p9 x" M; m8 h
Estimated error mean squares, 估计误差均方% e# ^3 ?9 ]; Q, c' v: q
Estimated error sum of squares, 估计误差平方和* W2 e) q- ^% S8 K- Z
Euclidean distance, 欧式距离
1 C0 y% w! N) q. U, ], AEvent, 事件! `3 z0 T" i, z- Z; ^# T
Event, 事件
6 s. M) Q8 G$ A, tExceptional data point, 异常数据点
5 l7 s- x& g; q5 E: CExpectation plane, 期望平面
/ F* @/ i9 c- t7 JExpectation surface, 期望曲面
, @$ [5 }4 `+ u. ]8 ?. VExpected values, 期望值
+ Y! c! a J2 H! G6 XExperiment, 实验( g# A; e6 G% J7 e' }3 e6 _
Experimental sampling, 试验抽样
5 d+ [# ~9 d+ _3 }. kExperimental unit, 试验单位
- b" K6 X4 C" C; Q9 ~/ m. B, VExplanatory variable, 说明变量& A7 j5 K4 V, N J5 F% j' @; B
Exploratory data analysis, 探索性数据分析
- l L3 z+ h6 r8 r2 t2 [6 NExplore Summarize, 探索-摘要1 r4 R. _; l+ i3 l
Exponential curve, 指数曲线! O0 D8 N' r1 J$ ~2 [
Exponential growth, 指数式增长
8 W, U3 |8 G# P) s$ a- YEXSMOOTH, 指数平滑方法
3 R. ~' I0 v/ A. f# V4 [8 xExtended fit, 扩充拟合8 _5 M5 @( c+ L3 k& W
Extra parameter, 附加参数+ I& d; d! N- h, w& g( s& Q; \
Extrapolation, 外推法
! T+ \0 x8 Q, W* ^* B; NExtreme observation, 末端观测值 \4 ? |8 U& i1 C7 o C; S- [
Extremes, 极端值/极值
( T( T- J m0 \% Z" }+ B- }7 JF distribution, F分布( S; I6 t- T/ Q* e7 c; W
F test, F检验
6 k) p7 d& J9 qFactor, 因素/因子
# s4 h% m) R# c+ |$ GFactor analysis, 因子分析
. b3 |8 V& Q% b7 T. p! e9 m2 a. sFactor Analysis, 因子分析
1 ~4 ?3 B! s: c; c% {3 AFactor score, 因子得分 8 E4 T$ ~( I; ^# n o( P: [
Factorial, 阶乘; E9 q* i0 e8 V5 f( o
Factorial design, 析因试验设计
2 o9 ^9 P' }" v! hFalse negative, 假阴性
! A/ c# W2 y4 pFalse negative error, 假阴性错误' z7 u' I* U3 e* ~1 l
Family of distributions, 分布族5 s! |& K: m3 G5 y
Family of estimators, 估计量族
, E( f2 Z0 P( f: d. X& ZFanning, 扇面6 w1 K6 K# ]9 U6 G9 g# o# [
Fatality rate, 病死率7 y8 R, J: Y$ u
Field investigation, 现场调查8 T5 o* i5 h# a& H
Field survey, 现场调查1 t' b/ q4 t; a0 ~
Finite population, 有限总体 M3 r4 g9 b! Y5 h6 ~: ^4 B
Finite-sample, 有限样本# Z' s% m G! D" E- W
First derivative, 一阶导数, \* K' w5 @+ P9 |: j! N! Y5 h
First principal component, 第一主成分) S Z8 n6 G3 f3 Y: ^
First quartile, 第一四分位数- l% L) F& Y, {& o+ l0 V
Fisher information, 费雪信息量8 S" A3 r! D }" f( z
Fitted value, 拟合值4 p" o4 L* t `' G& g) `
Fitting a curve, 曲线拟合
8 B1 X% w' E, `* g& A' X- v% ~7 UFixed base, 定基
% |9 D+ P, `2 Y P0 l2 DFluctuation, 随机起伏
6 e& x& O# A" r2 g8 `8 U1 E- ^' l/ HForecast, 预测! Y) x5 o& \' \2 I1 Y% y2 }4 u
Four fold table, 四格表6 ?* b/ i9 M) x( `0 a5 ^! Q5 k
Fourth, 四分点0 i$ ]# m1 _8 i
Fraction blow, 左侧比率& y/ Y+ N# r5 ]6 B0 u4 [2 d9 y% ?' b: |
Fractional error, 相对误差
8 M6 \2 ^, v; P& P# a+ ]Frequency, 频率
# ^9 I8 a: b2 G8 G6 |. u5 uFrequency polygon, 频数多边图- G/ u5 R) C9 V" ]0 V+ e; ?
Frontier point, 界限点" C+ O$ m: s+ M0 X/ }! T' @2 ?
Function relationship, 泛函关系
6 N5 {7 J8 r |/ r8 d1 eGamma distribution, 伽玛分布
( e& M; E! E% XGauss increment, 高斯增量
+ S, K V1 @' m1 R* X# I( {( GGaussian distribution, 高斯分布/正态分布2 C' ?5 P8 y+ [# c! _
Gauss-Newton increment, 高斯-牛顿增量2 q7 T4 e9 x9 X" I. H4 N: `. h/ F
General census, 全面普查
2 v+ q: Q: F, I* N% Y. QGENLOG (Generalized liner models), 广义线性模型
- i( N& p0 n; ?' h6 s2 o: R4 ~Geometric mean, 几何平均数: i; l' S( B0 g7 k' B" }0 Q9 X
Gini's mean difference, 基尼均差
: y3 z( d9 e6 c+ K/ sGLM (General liner models), 一般线性模型 * _2 T2 R% n0 ^/ U' Q8 k
Goodness of fit, 拟和优度/配合度
8 f6 Z+ f6 x( K: NGradient of determinant, 行列式的梯度; a& \6 ^" s2 l( ^+ L0 ~/ p
Graeco-Latin square, 希腊拉丁方2 F% S/ e* n! _
Grand mean, 总均值
3 ?. r1 l( F$ i) c; T+ sGross errors, 重大错误
0 F. O p+ p+ R' E4 HGross-error sensitivity, 大错敏感度1 N) V' E' h" B* l
Group averages, 分组平均
2 @' Z# y% J& ?9 r% [Grouped data, 分组资料! I( I8 P# `! |8 d/ k6 M0 j
Guessed mean, 假定平均数" D9 I, c1 w+ U; Z2 v. E. F# d7 M
Half-life, 半衰期
; i6 R) M# V1 ?* w! F8 z2 D/ ]Hampel M-estimators, 汉佩尔M估计量
( {/ w2 c& k; B. G: `) W6 lHappenstance, 偶然事件
( R( l) n7 U3 K* G6 jHarmonic mean, 调和均数
( b E0 r' y$ H& E# q) ^8 rHazard function, 风险均数 z9 a$ e) R. l8 W4 Q" F7 f- k
Hazard rate, 风险率3 x. w4 l% X# z% E4 i o" |1 P# [. P
Heading, 标目
* ]; i4 O2 w* E4 _9 IHeavy-tailed distribution, 重尾分布+ T- M$ N" f6 Z
Hessian array, 海森立体阵
6 f( b6 l- H4 V" A+ i; G8 _: X fHeterogeneity, 不同质9 R' N* z" e" N* ^0 l+ v
Heterogeneity of variance, 方差不齐
9 Z9 S* j5 R n V w8 a# UHierarchical classification, 组内分组
- o! u! c6 b/ Y& B% vHierarchical clustering method, 系统聚类法
/ x9 r8 e$ \9 t4 |6 wHigh-leverage point, 高杠杆率点
9 M- w, ?2 B( P: L9 tHILOGLINEAR, 多维列联表的层次对数线性模型
' ~0 d z# k2 D3 d. y2 k7 {Hinge, 折叶点
& H, b' r. H: Z5 I- X. J0 RHistogram, 直方图
( f/ Q5 d! p `# KHistorical cohort study, 历史性队列研究
2 k+ N0 K; X; @7 @" }" O; A/ q1 DHoles, 空洞$ m7 t! T! R( y
HOMALS, 多重响应分析# Q3 J( i8 I$ f6 r6 f* u2 U+ ~$ [
Homogeneity of variance, 方差齐性
4 {. J' q/ a8 ^# _0 w* Q! ~Homogeneity test, 齐性检验4 R) a9 ?5 t- Q1 M* I+ X, r
Huber M-estimators, 休伯M估计量
- m! C8 k; ~9 B6 B+ E+ |3 ^% ]6 V# tHyperbola, 双曲线
- y* R3 V+ T! M( S) H: z7 ]! P7 zHypothesis testing, 假设检验( X9 X7 X6 Q* T: A6 m3 R
Hypothetical universe, 假设总体3 ?7 k4 k- E+ q/ ~
Impossible event, 不可能事件
+ M/ j1 Y4 t0 f5 Q1 D5 \Independence, 独立性
' | v3 U' @, zIndependent variable, 自变量8 }% `5 m/ e( D9 z
Index, 指标/指数% B @8 ]7 K1 g, E {7 }; t* ?2 g
Indirect standardization, 间接标准化法' B/ a+ H9 M9 h6 u B
Individual, 个体3 F' X! x# P8 p' R8 C
Inference band, 推断带$ ?. p8 J1 M! |
Infinite population, 无限总体( c9 g4 P: m( x" x. z$ Y
Infinitely great, 无穷大/ R4 g8 F/ c" g3 E6 b' U% D
Infinitely small, 无穷小
# V7 x% ~8 m5 ?. Y( @# D+ qInfluence curve, 影响曲线
+ V# {. I0 |0 A" s4 AInformation capacity, 信息容量) S- A. ~9 T ^1 }
Initial condition, 初始条件
9 g n5 f: N8 s$ j" |2 IInitial estimate, 初始估计值" o# s2 [8 o) U
Initial level, 最初水平: ?- @( d1 N1 l1 {1 q) a6 w) F2 h
Interaction, 交互作用6 q. z% v$ o3 ^/ O% o
Interaction terms, 交互作用项4 L4 _; M: g. w3 V5 F
Intercept, 截距6 I$ A0 U( h1 h3 `
Interpolation, 内插法
! @2 a/ n$ m" H0 zInterquartile range, 四分位距
4 g- N6 Z* A hInterval estimation, 区间估计$ J! k& I" Q, Z+ h- J
Intervals of equal probability, 等概率区间! f+ A. e+ ]9 ~4 p: `" |2 a
Intrinsic curvature, 固有曲率" C( a) b, w" D* [8 Z7 I8 S% f. n
Invariance, 不变性
9 i) M' J, c6 h6 V+ a, nInverse matrix, 逆矩阵5 r4 Z7 n0 ^+ J6 W) H& @
Inverse probability, 逆概率( v( B5 b0 k0 f+ }7 ?' a
Inverse sine transformation, 反正弦变换
: E C6 e! ]% {" \# b& ?$ t! [) LIteration, 迭代
" W1 [/ b* y8 B4 KJacobian determinant, 雅可比行列式
/ f- u" ]/ w4 L6 b9 L( cJoint distribution function, 分布函数) v1 x/ W( N! b0 v9 s% V
Joint probability, 联合概率2 b- l! m# n1 A: w, O, k7 [
Joint probability distribution, 联合概率分布: y% N0 |* P/ G' a7 }( S- b
K means method, 逐步聚类法
$ q2 F: P5 N& M# M% p4 o, D1 f' iKaplan-Meier, 评估事件的时间长度 / p* l: I/ x. p
Kaplan-Merier chart, Kaplan-Merier图
, Y/ ]& V& u4 p# xKendall's rank correlation, Kendall等级相关
' W* V% n5 U5 @* A3 B0 h0 [Kinetic, 动力学
2 @! }: [9 D8 ] Q1 k' aKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验+ |1 ?$ A- V2 d+ q( n* I
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
2 o# X4 |. T) P- j) _: q8 ^5 M7 _Kurtosis, 峰度" l0 O" J( @' |. i
Lack of fit, 失拟
' ?* v5 n. C* e, N/ kLadder of powers, 幂阶梯
G, e& O$ k! W- _! p* S* ELag, 滞后9 \; g5 W/ V' U; K' M7 Q) y
Large sample, 大样本% O0 ]9 }* T9 I R# v7 l1 v) a
Large sample test, 大样本检验" c, }) i/ B4 E- T U
Latin square, 拉丁方
1 o, t1 T8 D+ v& l }Latin square design, 拉丁方设计* a8 a& |7 V, B. _7 h8 y! o
Leakage, 泄漏
3 j' o* R- ~ ]5 m: _Least favorable configuration, 最不利构形, j( V: X3 `- l
Least favorable distribution, 最不利分布. [4 a: V& Q0 \/ z
Least significant difference, 最小显著差法
! @/ K( z- Q% O3 V% RLeast square method, 最小二乘法
" e7 T6 t0 K( O9 N; eLeast-absolute-residuals estimates, 最小绝对残差估计
$ U% F" L* _) y+ DLeast-absolute-residuals fit, 最小绝对残差拟合
9 ] B7 e& B2 N G" U d7 C2 oLeast-absolute-residuals line, 最小绝对残差线
/ h9 W# p0 ?' W( A' {: Y# wLegend, 图例/ K2 {" M5 \9 d, r- s. }, H: _8 Q
L-estimator, L估计量) B; r5 ]+ c9 q: s
L-estimator of location, 位置L估计量; a A( f% G# C7 _! u% V* \( B
L-estimator of scale, 尺度L估计量* M7 n1 | U9 O
Level, 水平' r" L' G2 w8 Z, u! V. {
Life expectance, 预期期望寿命
: T' A8 N( @9 KLife table, 寿命表' E. P; P: l$ v
Life table method, 生命表法
: |* _0 `# M* Y0 c0 a& TLight-tailed distribution, 轻尾分布$ G" l; n# }2 s! T m- Q9 `
Likelihood function, 似然函数
% T9 d8 t+ G, C$ Q; X; {Likelihood ratio, 似然比1 l' I, k: a9 c3 A! t; w
line graph, 线图
4 y$ O9 S( R' T6 V* c0 LLinear correlation, 直线相关8 I& q& b* o; W0 @ c* p2 _
Linear equation, 线性方程
~! j: ^! e% [& L; a3 M% K2 gLinear programming, 线性规划4 b6 Z8 B( h7 F9 L: Z+ y# o
Linear regression, 直线回归
8 B" @# z. w, @' J& ]) y: ?Linear Regression, 线性回归: V! C% s8 J+ | t7 r* ~
Linear trend, 线性趋势# \4 T. M0 c b0 G0 `8 Y
Loading, 载荷
4 O' a1 _! ?3 h# h! C# ~8 z6 ]Location and scale equivariance, 位置尺度同变性
, h f. a& v. ~/ T) fLocation equivariance, 位置同变性& O3 K5 j5 s7 j" q0 L) b2 ~6 W
Location invariance, 位置不变性
2 }; A7 B: {0 w$ [$ ^# hLocation scale family, 位置尺度族
Z7 R: ~& N' e4 j& }Log rank test, 时序检验
6 |2 X$ z5 ?1 K w% dLogarithmic curve, 对数曲线
0 d6 m! `- ?' n* p" I0 d' ?8 sLogarithmic normal distribution, 对数正态分布
: S9 P, \% K4 X0 o) v4 q1 DLogarithmic scale, 对数尺度! [! N1 v8 V/ f
Logarithmic transformation, 对数变换/ e' B- A' ?* n" z. ~7 w0 R! \1 A
Logic check, 逻辑检查5 A2 i+ W2 f2 D& i; x5 Y
Logistic distribution, 逻辑斯特分布
, G! J$ K$ O k k7 J$ VLogit transformation, Logit转换, u8 ~. x' k6 C# P6 e
LOGLINEAR, 多维列联表通用模型
1 f3 j2 F1 g h! A3 \Lognormal distribution, 对数正态分布# M% R/ A: M: S+ J& H0 o+ W
Lost function, 损失函数8 i6 w# C8 z" n4 q( K7 S @, r
Low correlation, 低度相关% ^+ g3 c# D4 L: q" c4 X
Lower limit, 下限
4 G% J3 B- F( y- |* w$ YLowest-attained variance, 最小可达方差
5 g$ { r: k5 a3 r) MLSD, 最小显著差法的简称
6 f7 Y. [# ^" R" g! f9 _3 m2 N3 WLurking variable, 潜在变量
+ d& ?- c: V1 [3 aMain effect, 主效应
+ {1 c3 q1 v' h/ A, w# aMajor heading, 主辞标目. A% j3 _" l5 z D
Marginal density function, 边缘密度函数; K! w4 A1 S, Z
Marginal probability, 边缘概率
( S2 U! w+ p) `; r; ]Marginal probability distribution, 边缘概率分布
' n) s% D- h) V$ s/ Q5 I& NMatched data, 配对资料/ A- {1 P4 k$ H. k: U
Matched distribution, 匹配过分布) ^# S/ u$ X; m, _7 d
Matching of distribution, 分布的匹配- y4 Q( E/ {; c0 R' ~
Matching of transformation, 变换的匹配+ v1 B2 {7 P$ n7 B: L
Mathematical expectation, 数学期望& Z/ W8 m% _; |3 v
Mathematical model, 数学模型/ i5 y, z" k- u0 f7 C6 o0 n
Maximum L-estimator, 极大极小L 估计量& B2 @' Q3 _3 \; n" X' ~
Maximum likelihood method, 最大似然法
# Y3 k" m" X$ H: Q t$ Z, `, mMean, 均数
% @' ]$ K* B; g0 T/ a; i/ rMean squares between groups, 组间均方
% n [6 L, D# s% p0 E2 `Mean squares within group, 组内均方# S( i' y$ R" u8 {# I- t" e& ~
Means (Compare means), 均值-均值比较) v3 Q" j7 Q2 i
Median, 中位数
, n& ?: D" P7 [5 e* }$ MMedian effective dose, 半数效量
& d+ d% V# x) V& s5 @& p* `" ~+ IMedian lethal dose, 半数致死量& \6 F/ t" A' v, q5 r# L M" T
Median polish, 中位数平滑
. d) d/ o" \6 a; R, D) RMedian test, 中位数检验
7 j& g' \8 f8 Y0 [9 YMinimal sufficient statistic, 最小充分统计量
& k' f" n0 t, n0 ^' k* _" W/ zMinimum distance estimation, 最小距离估计" \2 U' @6 D# O
Minimum effective dose, 最小有效量6 [1 m9 a& ~6 e& h
Minimum lethal dose, 最小致死量0 ]- D# b7 w4 u3 C) L+ C; N6 ~
Minimum variance estimator, 最小方差估计量
& H9 d& K. b) \ @, V2 P" SMINITAB, 统计软件包
4 ~) O( _% ~2 p$ R4 pMinor heading, 宾词标目 [! P% m9 G+ f5 Y! Y4 b( b" E' }
Missing data, 缺失值
3 W$ c0 z* H! ^0 g. WModel specification, 模型的确定9 h4 ^6 ?: c/ Q( L" H
Modeling Statistics , 模型统计% x/ b [) {9 \" m5 K1 C8 M+ a$ ~' m
Models for outliers, 离群值模型
( f" z* R8 A2 y% `Modifying the model, 模型的修正' m; ]5 K' j" `2 q0 T" B# H! a
Modulus of continuity, 连续性模! T" l. D5 Q1 {( c; i* h% b
Morbidity, 发病率 / ^7 c# N7 G/ a* } J* U+ [% @! X9 ^
Most favorable configuration, 最有利构形
Q/ e- I& x) W, r3 RMultidimensional Scaling (ASCAL), 多维尺度/多维标度# M: I' o4 @2 i' q! `3 j
Multinomial Logistic Regression , 多项逻辑斯蒂回归
9 h g) S1 X" d/ \- a" `9 U0 _7 nMultiple comparison, 多重比较9 j0 B" `5 v+ T
Multiple correlation , 复相关 v/ x# ]$ I4 i9 \
Multiple covariance, 多元协方差# ?+ K v3 Q' s2 g( C) V x
Multiple linear regression, 多元线性回归
$ A1 R2 p3 j7 X* g5 Y5 eMultiple response , 多重选项. e: O: [4 N3 I0 l" p% E
Multiple solutions, 多解
& \ S4 T2 Q O, N" N$ `Multiplication theorem, 乘法定理- M- G" D: r) s+ Y: B o
Multiresponse, 多元响应
: @1 }% S" c: e: r0 N# I/ {Multi-stage sampling, 多阶段抽样3 Z% n1 B: B4 M" V' r
Multivariate T distribution, 多元T分布
# @) d0 e# {$ }, }( |6 x/ D* mMutual exclusive, 互不相容
& h& M3 E4 H7 L- o2 M; h- BMutual independence, 互相独立4 m5 t. n2 d1 [, Z6 u5 B
Natural boundary, 自然边界
9 `! j9 K* }& x2 r' ]' K' B( R1 GNatural dead, 自然死亡
* a: J8 A" {, y8 {' X, NNatural zero, 自然零' f) {6 p0 {5 B7 ~& u. J( W! ?
Negative correlation, 负相关
! O% o% ]% k: |# [( F" I v4 YNegative linear correlation, 负线性相关; y2 a/ B) L" y/ a* }% j
Negatively skewed, 负偏
# E2 w; \" c4 NNewman-Keuls method, q检验0 W4 c* m }% P# @/ n& C& a
NK method, q检验
: d# U$ A& m* r" ]) UNo statistical significance, 无统计意义6 s7 [4 K+ i7 T
Nominal variable, 名义变量
! D1 F- m# R) jNonconstancy of variability, 变异的非定常性! i8 K$ z7 F5 z% F2 J
Nonlinear regression, 非线性相关
) k* i7 |+ X" k# A7 Q" `# CNonparametric statistics, 非参数统计1 Q7 P. F% p9 Q! a3 N. C
Nonparametric test, 非参数检验
) j M3 \" ~) ?0 I$ L+ W3 N- ^4 U6 |Nonparametric tests, 非参数检验
3 f4 K/ L' g. d3 q- S% k+ eNormal deviate, 正态离差' m" T D8 G6 l4 Z9 `: _
Normal distribution, 正态分布; Q9 ^$ y0 K4 y7 g+ V) h0 ^9 I7 x
Normal equation, 正规方程组, f) ~* r- _7 K; W# o
Normal ranges, 正常范围
# l R: |% t p0 [0 uNormal value, 正常值
2 K& l/ w* c! a1 XNuisance parameter, 多余参数/讨厌参数
- x1 ]& A5 Q$ |3 G1 JNull hypothesis, 无效假设
+ t7 H, ?; }, Z% E, y( w( nNumerical variable, 数值变量
! b$ ^ L+ m: `/ @Objective function, 目标函数7 x& \7 U- }, i. j1 a; ^+ [# F( p! A
Observation unit, 观察单位
4 M7 N. N( q1 `; o+ [) }$ QObserved value, 观察值' Y, G" d' N0 u' f% `4 {# C6 l
One sided test, 单侧检验3 _) p7 c0 E+ C; V! N% B
One-way analysis of variance, 单因素方差分析; F9 Q5 u0 a, _4 x+ A: {6 [4 ^% V
Oneway ANOVA , 单因素方差分析
4 \' Y2 f: |, D! MOpen sequential trial, 开放型序贯设计
6 D" t# e! v9 IOptrim, 优切尾8 Q5 h% h$ ^& D+ Z0 C
Optrim efficiency, 优切尾效率 W( a' ]6 t! g- P
Order statistics, 顺序统计量5 H- q/ f/ y9 `0 D# \+ y
Ordered categories, 有序分类+ p I3 D- G& P# y* `! z c
Ordinal logistic regression , 序数逻辑斯蒂回归
% Q% y: ?. s( L$ v0 KOrdinal variable, 有序变量
J# I- |7 M! ~8 C! G, rOrthogonal basis, 正交基& y5 F( O* k) q9 }- z" M
Orthogonal design, 正交试验设计
( R6 D) E) i/ Z2 IOrthogonality conditions, 正交条件; c8 x, v5 g& T2 ?# H" g
ORTHOPLAN, 正交设计
, P+ p9 u& s) }+ b! OOutlier cutoffs, 离群值截断点# B) K) y' y3 h w3 P- |; ~& X
Outliers, 极端值8 D: \! N' U" l7 I& r
OVERALS , 多组变量的非线性正规相关
" \6 {! y' M' o J# g3 I* LOvershoot, 迭代过度
) g. s! l' ~; g) C* sPaired design, 配对设计
: U9 M8 b9 Q! r2 dPaired sample, 配对样本6 s( _( q( n# g8 T; G
Pairwise slopes, 成对斜率
+ {6 ?2 s# [7 M- E+ oParabola, 抛物线
) b% V2 b. V' b/ A# rParallel tests, 平行试验. j" i. G! H* g! `% w
Parameter, 参数
0 [2 v% t$ ? w2 k9 HParametric statistics, 参数统计
) x! @* N3 G0 x8 V. fParametric test, 参数检验8 D% z; y$ k3 X4 Y; ~
Partial correlation, 偏相关
0 `0 N! {9 P# O8 APartial regression, 偏回归# G: c% U V6 x1 d
Partial sorting, 偏排序/ l# n3 P2 X% B7 T* C3 D/ Q* v9 W
Partials residuals, 偏残差
4 G+ G1 e" n0 e( w; E( QPattern, 模式
& q% u. d3 U, ]9 G' m& Z+ b7 c% N3 _Pearson curves, 皮尔逊曲线% O7 J, q8 ~2 U+ o, v5 I2 k
Peeling, 退层
$ ?6 w/ f% I8 v' d4 s2 G* K) I8 DPercent bar graph, 百分条形图
$ `+ ^% z8 e) \$ d' w) \" VPercentage, 百分比! r# O$ |- N2 h- e
Percentile, 百分位数: N! e5 k* u6 y
Percentile curves, 百分位曲线 u- j$ m6 K1 Q- b) S! ?: s' q
Periodicity, 周期性
" D9 g0 m3 |) F5 {2 N/ b7 y/ pPermutation, 排列
5 ^, m' I+ o% X/ N+ `( KP-estimator, P估计量
; c$ q8 _0 f9 V: h5 KPie graph, 饼图0 e* A" l) \9 U, M1 E. _9 A5 C
Pitman estimator, 皮特曼估计量: f: S! A. a {1 P/ I
Pivot, 枢轴量
. ^8 D. K" r4 x2 M" q2 [Planar, 平坦
D1 @3 j6 B. j. APlanar assumption, 平面的假设1 _1 B2 q- A7 c! O& r
PLANCARDS, 生成试验的计划卡6 O$ L$ D. p+ W9 n( {4 ?4 T: d
Point estimation, 点估计
$ ?1 D. Q" T6 {/ r; a) HPoisson distribution, 泊松分布
. q7 S, u- [; a9 V( N& lPolishing, 平滑
2 F5 W% n& o2 T" d5 W. n9 yPolled standard deviation, 合并标准差
, }% T, z% J. O' d! uPolled variance, 合并方差& D% N0 T {2 A% d/ ]
Polygon, 多边图) g* U; H0 O% F) \* q# O2 g
Polynomial, 多项式$ h6 e6 }' |+ Q& F$ G4 F4 ?3 F
Polynomial curve, 多项式曲线: X, r/ S7 x+ g2 i% N; e2 Y( Z
Population, 总体
; \& x2 B8 y+ hPopulation attributable risk, 人群归因危险度% V# m# [0 ?# T$ Z7 t" r
Positive correlation, 正相关
; X" t: ^$ }; D" `/ mPositively skewed, 正偏" S8 d. }& Y7 S/ N
Posterior distribution, 后验分布6 c* [6 Z# S: ?5 M( h2 r
Power of a test, 检验效能
" I- y0 ^1 a2 S/ @; J) MPrecision, 精密度* T$ C& H t! x% a3 e. z+ ?
Predicted value, 预测值
% |* i2 [- ]: S/ BPreliminary analysis, 预备性分析
4 u" x+ n$ ~: r7 V, U6 [Principal component analysis, 主成分分析/ h" v; h+ H: [$ }& a) n
Prior distribution, 先验分布
' {* _( R2 q! _6 m1 NPrior probability, 先验概率
0 ?: y" r# G- |Probabilistic model, 概率模型
) N0 B% C e* d# o4 kprobability, 概率! c+ }- a: B( u, _" b3 J
Probability density, 概率密度
' P7 p/ f; t* w. ]9 MProduct moment, 乘积矩/协方差/ j- t# i3 q3 g7 s7 }
Profile trace, 截面迹图, G+ K% c7 {% z) Q0 Y$ a
Proportion, 比/构成比
% [) `: Z' N. g' s# Y6 MProportion allocation in stratified random sampling, 按比例分层随机抽样, ]. @6 @: @$ J9 M- g0 f+ l4 S
Proportionate, 成比例
; {1 \1 H* e9 jProportionate sub-class numbers, 成比例次级组含量5 D8 i' l( p# w$ M+ p( t2 [% K
Prospective study, 前瞻性调查
: {/ |* b% S, b. b; XProximities, 亲近性 3 ~1 I" H$ F0 v$ S, l6 r
Pseudo F test, 近似F检验
$ I# S* J, U( S% VPseudo model, 近似模型8 Z* l7 }" e2 I
Pseudosigma, 伪标准差
; l8 F, J. X9 ?# t0 x5 `& ~. XPurposive sampling, 有目的抽样& S5 [7 d2 R5 r7 r0 @/ T+ b, q
QR decomposition, QR分解
6 b0 Q$ O |! O. j4 T0 @. VQuadratic approximation, 二次近似+ d7 w8 y# B% @4 T8 K) ~; R
Qualitative classification, 属性分类4 d0 [7 \/ i" J; L% m
Qualitative method, 定性方法
6 F) E! A9 t, B9 A1 b- OQuantile-quantile plot, 分位数-分位数图/Q-Q图
! G$ B0 P% F( DQuantitative analysis, 定量分析
# h7 j; ?: a( a. fQuartile, 四分位数" ~- w8 b& ]+ N+ ?0 [* @
Quick Cluster, 快速聚类
: R: u7 y' g a" L5 P2 I6 i/ RRadix sort, 基数排序# H7 _, T" I, t W) N$ y' s
Random allocation, 随机化分组& D+ y O* `7 R" A* ^
Random blocks design, 随机区组设计2 H) m5 d# K. k S; d
Random event, 随机事件
* U6 }5 C- j) k* Q4 i9 m1 s% ARandomization, 随机化, L9 Q7 f# g a5 F( O
Range, 极差/全距
- y; D) R* y0 ], D( U9 x! RRank correlation, 等级相关5 C4 B6 ]. J. O% u3 P5 T3 r) D
Rank sum test, 秩和检验
" q( q- E- W( U5 yRank test, 秩检验5 [% R' r8 v# R8 h; I# o. C
Ranked data, 等级资料' |5 c$ g* [, H/ V) Q
Rate, 比率! m5 A* _; j2 ~# ?6 N2 [% }
Ratio, 比例
2 q9 O- N" h `1 gRaw data, 原始资料# g P7 Y7 h: x- ^6 T s
Raw residual, 原始残差
: s7 z8 w9 R+ j" yRayleigh's test, 雷氏检验
7 y4 O1 e. e# p. U3 @Rayleigh's Z, 雷氏Z值 ! \2 _9 Y, f' f+ T* p3 z
Reciprocal, 倒数
" ^2 c! B4 O" I' UReciprocal transformation, 倒数变换: ?. o' h9 `, [, }
Recording, 记录) m8 s7 D$ R0 {. N$ R
Redescending estimators, 回降估计量5 c" F) z3 L8 \" Q2 T# e0 z7 \
Reducing dimensions, 降维8 g6 r% }% q4 g4 K4 m' a8 _ P
Re-expression, 重新表达0 m- g. j% h/ I t8 c
Reference set, 标准组2 B6 Z4 N3 v* X* ~; r4 c' W
Region of acceptance, 接受域( H7 o8 N5 {+ C
Regression coefficient, 回归系数. B( P. w" Y' |6 V7 H
Regression sum of square, 回归平方和, @- T0 e% R7 `7 G
Rejection point, 拒绝点
3 p7 R! F, z) e" W% _Relative dispersion, 相对离散度6 H6 @3 I1 O- p h$ R1 X( _
Relative number, 相对数
1 L3 U" A* d* Z, p3 u0 oReliability, 可靠性
5 B: w6 [5 K1 ?0 R. Z6 U/ t1 wReparametrization, 重新设置参数
) f. |( d: v3 ?3 qReplication, 重复
1 o& w; [3 d! yReport Summaries, 报告摘要' E' B3 c5 F* X) B$ ~
Residual sum of square, 剩余平方和
' N1 Q" ~: i! a) DResistance, 耐抗性' Z ?; v- K8 I4 b* m, t
Resistant line, 耐抗线 \# P% G- q) R/ `3 R1 E
Resistant technique, 耐抗技术, v! v( k! w* k8 B( @% l5 K& l! k
R-estimator of location, 位置R估计量9 _' _4 x; j% t, U
R-estimator of scale, 尺度R估计量" f0 M/ W5 W0 |' }5 q
Retrospective study, 回顾性调查1 S+ S2 w2 C; R7 H5 |4 \" R
Ridge trace, 岭迹
4 F4 I! R* f: H$ I) ^# l/ z. O/ yRidit analysis, Ridit分析
* [5 t. [( k1 @3 v4 X6 F/ SRotation, 旋转
& W9 J1 K. Q4 G1 bRounding, 舍入
2 A1 f2 x$ S. w; w7 m5 ~Row, 行; S1 E& E2 A$ D" a
Row effects, 行效应
) n- \5 c; Y* j, XRow factor, 行因素
, f/ t' |$ }1 c$ w6 [* ?1 ZRXC table, RXC表
/ E* I' t* I9 y8 {Sample, 样本
3 P8 f, { O6 x0 {( DSample regression coefficient, 样本回归系数
' w& t, m l& k8 R6 e4 G5 F7 d% JSample size, 样本量
/ a5 f& z1 F7 y" b p% ISample standard deviation, 样本标准差
/ v, F# P5 c+ ]) CSampling error, 抽样误差0 e3 n' G: e; [9 x. e' d/ S4 G
SAS(Statistical analysis system ), SAS统计软件包6 K+ |- f! T/ F* S; Z2 I$ j8 S
Scale, 尺度/量表- D5 \0 e, Y7 b1 r+ d
Scatter diagram, 散点图% g' G! X5 u' ]$ D' P
Schematic plot, 示意图/简图" }6 f3 w; d3 F
Score test, 计分检验
" Q8 ?+ w" ]" ? IScreening, 筛检
% Y: N! _% a U& n+ HSEASON, 季节分析 + ?& b. C6 h) d: d S( ~, P
Second derivative, 二阶导数
2 v0 M7 Z$ c( F6 Z5 sSecond principal component, 第二主成分: ~0 _( X0 H+ C: V* y. S
SEM (Structural equation modeling), 结构化方程模型 & d3 {' g2 ]! n2 j# W! {
Semi-logarithmic graph, 半对数图
$ P9 n; k7 d. j7 I9 U6 G+ VSemi-logarithmic paper, 半对数格纸; n, E! G+ Y. ^/ l _' K2 i/ @3 X; U9 X ~8 `
Sensitivity curve, 敏感度曲线
3 ?/ V" z' P6 p' T. q3 h BSequential analysis, 贯序分析
$ Z8 D, C- n! A! S, XSequential data set, 顺序数据集# {. b; o2 C3 O' }$ C) S
Sequential design, 贯序设计 M3 a% D b- t3 T& d6 G! r# b' @
Sequential method, 贯序法+ @( s9 E: ^- h- t) w& Q; ~: r
Sequential test, 贯序检验法8 n! C7 I$ `9 C9 D: ~
Serial tests, 系列试验
8 q8 a7 [' `! R) ^. [1 a$ M0 NShort-cut method, 简捷法
0 I& v. l7 @! G, h7 h6 _Sigmoid curve, S形曲线6 Y7 e3 d0 x, k' |4 F# P9 j! U
Sign function, 正负号函数8 C3 \- G( p; h, y
Sign test, 符号检验
& U9 [0 x/ h" w4 ?: V* \) vSigned rank, 符号秩
2 J& C$ m+ A1 M+ H3 t& y2 HSignificance test, 显著性检验
( [# |7 v0 [) t" h) oSignificant figure, 有效数字 R* j" W. G% y# ~# h$ M
Simple cluster sampling, 简单整群抽样
- P! j, P# S+ j, S, XSimple correlation, 简单相关
' H9 I' E8 x# d7 A! h3 k& cSimple random sampling, 简单随机抽样
# W& a) ^+ f) I& X: d' b4 b* eSimple regression, 简单回归
# O# e+ p3 G9 P" [' N* p9 Osimple table, 简单表/ Z, O' L) v8 R4 n1 ]
Sine estimator, 正弦估计量
; `! r8 B+ l x8 @. A3 uSingle-valued estimate, 单值估计( ^7 q+ @$ K' L6 |0 X
Singular matrix, 奇异矩阵
0 E' }; R5 G9 z6 l) ]! N/ ?5 YSkewed distribution, 偏斜分布/ {; d' e" i% E; l
Skewness, 偏度
- u( G1 z) _, [Slash distribution, 斜线分布
( r9 j& Y# Q2 uSlope, 斜率" }( k" E$ _* V( M% ~" d9 n" b
Smirnov test, 斯米尔诺夫检验
k+ B+ V! _( k/ ]. qSource of variation, 变异来源* ?" u( F9 g' [3 a2 x
Spearman rank correlation, 斯皮尔曼等级相关
, k- R- Z, Q! R! p1 c( sSpecific factor, 特殊因子: f% a& V" e+ X$ m' X
Specific factor variance, 特殊因子方差: B$ |) g! B0 n( u
Spectra , 频谱6 p% ~5 ]' ^! O9 r# I$ x9 e
Spherical distribution, 球型正态分布
" i: H5 G6 T7 o$ z# NSpread, 展布
4 \, \5 G5 E: D& USPSS(Statistical package for the social science), SPSS统计软件包: ]+ Q# ]8 ?# [& a( ]1 }
Spurious correlation, 假性相关4 a" v* [" Q# E6 _( ]
Square root transformation, 平方根变换5 o# ~6 m. [0 \! f
Stabilizing variance, 稳定方差
' U! q& j( Y+ j' m. eStandard deviation, 标准差) j1 K$ g# `9 \) d
Standard error, 标准误
9 ]* F+ e" o& S2 _) l1 zStandard error of difference, 差别的标准误
7 E# K8 B6 ]) B! [7 mStandard error of estimate, 标准估计误差
$ v9 @, U2 H3 E" j- |2 i3 SStandard error of rate, 率的标准误! g7 w+ c# ~" G6 u( D& J9 U: w
Standard normal distribution, 标准正态分布
' s, b6 y$ U' \- G& CStandardization, 标准化' w: K. B# G' [1 A, R
Starting value, 起始值7 M" r1 s0 P, ?! d4 i4 F
Statistic, 统计量
- [$ Z6 c' |* _% n* W; sStatistical control, 统计控制
- v/ k. P8 n+ r" d) \: a$ F4 Q4 tStatistical graph, 统计图
* U5 J; k$ Y$ [. _: cStatistical inference, 统计推断2 B9 c0 p# o0 E! d1 l2 z' n6 R
Statistical table, 统计表
7 |. {1 c, g% `3 E3 j* T4 aSteepest descent, 最速下降法& Z' }4 Y. X/ F1 @: H4 J: ]
Stem and leaf display, 茎叶图
; B! x1 k! I. X2 Q8 `/ z/ W5 Q8 eStep factor, 步长因子
& q6 o0 `: ^% CStepwise regression, 逐步回归. _; x$ _4 Z* J
Storage, 存
: y4 Z# z2 X; c, z( ^' hStrata, 层（复数）, C# [& {' B( |
Stratified sampling, 分层抽样5 y8 u7 V: F; w( |5 z" p9 L, z
Stratified sampling, 分层抽样+ O4 z2 S, U% M
Strength, 强度
c2 K/ k3 |+ s1 o. R: s" @; }Stringency, 严密性
& p/ z c5 ?' {# O% iStructural relationship, 结构关系
. j, {( m. l0 i2 ]Studentized residual, 学生化残差/t化残差
& m( ?6 p' N9 n+ L3 r9 i" {. ASub-class numbers, 次级组含量: E+ G; w% ?% V
Subdividing, 分割
$ y8 g- k/ m7 gSufficient statistic, 充分统计量6 Q% _3 D, b& r1 G4 e v0 m3 z
Sum of products, 积和
- i# W# F# ^2 T: `Sum of squares, 离差平方和
+ U& h4 [) f" C+ ~Sum of squares about regression, 回归平方和9 U/ c) P6 l/ Q/ Y! [; ~5 P* f
Sum of squares between groups, 组间平方和
( m' c `8 P m6 z# y: f5 oSum of squares of partial regression, 偏回归平方和0 ]0 U, h- t0 g0 c6 U1 n5 v
Sure event, 必然事件
) ?( K- e6 G$ q$ _9 `Survey, 调查
; s$ n9 z2 H# cSurvival, 生存分析" u% \% j0 X2 a( F
Survival rate, 生存率
1 k1 f1 m) i4 O) u8 O' dSuspended root gram, 悬吊根图
! f' K6 \; D. y% n8 E3 j# pSymmetry, 对称
' L O% e& L7 b, l! SSystematic error, 系统误差! r5 w& L9 A) I, f% A- b' H
Systematic sampling, 系统抽样
! a3 Q/ B3 V2 H' O& d* X9 e9 P$ Y& x# ETags, 标签5 `0 @; x1 e% Z
Tail area, 尾部面积/ w8 P* f6 R; }# W. I( N
Tail length, 尾长
' C8 |) C( ~, p8 JTail weight, 尾重
3 F g+ l# c. h0 l3 l3 M6 |Tangent line, 切线
, G# [% p* v5 |) H" ZTarget distribution, 目标分布* s" V! h* u$ x2 f1 K
Taylor series, 泰勒级数
2 v% K/ |+ I* R8 v* W2 z# iTendency of dispersion, 离散趋势
9 a8 {, \6 S0 J, b; H$ L6 OTesting of hypotheses, 假设检验
1 C3 z1 {6 N* E& k2 t0 |Theoretical frequency, 理论频数/ ]4 I2 t( _' A
Time series, 时间序列
' @( \" o0 A5 j/ s( j# u( L" }Tolerance interval, 容忍区间" A! T4 ]$ q( u$ N
Tolerance lower limit, 容忍下限
" R6 m# H. s* r+ GTolerance upper limit, 容忍上限$ y+ _* e' X% y9 H5 s( |" H
Torsion, 扰率
' N9 [* @ P, Z5 G; r! NTotal sum of square, 总平方和
; h8 S m% }( h+ r* vTotal variation, 总变异
# V5 `7 A* u! I% h* PTransformation, 转换* P( N/ m6 `- K4 N! m4 Q% R# Y
Treatment, 处理9 \3 c0 g |1 W" z" Z* j: R5 O7 j
Trend, 趋势
9 b: q$ o: u9 ^+ y. P5 mTrend of percentage, 百分比趋势
9 G4 Z6 L/ o; d! a8 BTrial, 试验
& n9 p7 C$ |- e' I9 UTrial and error method, 试错法% e2 g; m8 m2 j* K" ^9 E" P' u& _; ~
Tuning constant, 细调常数% y6 k' ^& T5 o; s+ R( h
Two sided test, 双向检验
T9 ?0 |+ w; l+ K# `Two-stage least squares, 二阶最小平方7 w& q3 Q' A4 A, D+ F
Two-stage sampling, 二阶段抽样$ E4 G& \# T* A
Two-tailed test, 双侧检验* i. i n5 [3 X
Two-way analysis of variance, 双因素方差分析
/ D1 } s- P7 a: kTwo-way table, 双向表
: x$ Y' `5 {$ SType I error, 一类错误/α错误
2 }8 H+ {( P5 C G0 gType II error, 二类错误/β错误
2 J* ~+ N' R" zUMVU, 方差一致最小无偏估计简称
" k7 ^% B! X8 S% ~Unbiased estimate, 无偏估计- [- E5 r( o* w& h
Unconstrained nonlinear regression , 无约束非线性回归" s2 j4 M; W& I" S8 u. W4 L5 H
Unequal subclass number, 不等次级组含量6 b0 ^. z- U' R9 _ q$ f( l
Ungrouped data, 不分组资料
/ d. j- c. U* L9 M. tUniform coordinate, 均匀坐标; F x6 p+ j1 P: y3 J
Uniform distribution, 均匀分布
2 B- c7 v4 s8 s( D# I& bUniformly minimum variance unbiased estimate, 方差一致最小无偏估计
% Y2 R3 j0 O, z2 n3 U* ^8 GUnit, 单元
9 H4 A7 |, _% Z# _/ TUnordered categories, 无序分类5 w8 C' v' R x0 h% A7 ?/ `. r% ]$ P
Upper limit, 上限+ O( M$ u0 ]4 M6 ?1 }& Y6 K( p. M$ {
Upward rank, 升秩, e8 n l+ c* j1 s
Vague concept, 模糊概念
2 U& }8 @; H, a1 LValidity, 有效性: W6 p9 W) ~5 d0 z# q2 e
VARCOMP (Variance component estimation), 方差元素估计7 F- _. B/ a: @$ D$ z3 F# S& Z
Variability, 变异性
) a/ |4 |6 {3 j8 sVariable, 变量; ]/ c5 q' }7 h. C* p
Variance, 方差
! x) a4 i& r9 bVariation, 变异
( W1 ]9 {6 k9 c4 B* e- z* L: `) }) |Varimax orthogonal rotation, 方差最大正交旋转. o4 T2 f* s" O( V
Volume of distribution, 容积
! f l/ A# ^9 T( qW test, W检验
$ G5 s8 F2 e, n- oWeibull distribution, 威布尔分布
1 Z/ u* N- J4 y4 ^: B0 I4 tWeight, 权数
- [( b9 `0 u Y2 J. BWeighted Chi-square test, 加权卡方检验/Cochran检验
" T2 Z; s. h3 G3 c" f- R' S2 \6 GWeighted linear regression method, 加权直线回归
/ L* x* t& x+ y! y8 oWeighted mean, 加权平均数
S& A5 F! u) D2 q! pWeighted mean square, 加权平均方差
5 V& S6 m1 T, Q; ?6 c+ BWeighted sum of square, 加权平方和/ q5 S; F: d' H; u8 Y. Z$ V
Weighting coefficient, 权重系数
% \, [, _: ]; ]% }Weighting method, 加权法
. \; j' M: k( m5 {( _" kW-estimation, W估计量" t) j( b$ m9 w
W-estimation of location, 位置W估计量. K& [/ a# f5 E+ M6 {0 ]/ x5 T/ f [
Width, 宽度& \4 L/ p5 w$ L! m& f: K2 X
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验1 Z* a2 k z3 x1 S5 D: a
Wild point, 野点/狂点" W) x! T0 }( y( g8 i; |7 c
Wild value, 野值/狂值6 q Y( I5 O( x5 K
Winsorized mean, 缩尾均值. Y! v; L: l W: ^+ S- I; W
Withdraw, 失访
: j. ?3 X" C7 M, X1 V- {, z) oYouden's index, 尤登指数
# I2 Q" p; d8 x( \1 Q* dZ test, Z检验2 I- i3 Z$ N' M# j7 I" [
Zero correlation, 零相关0 e; F+ u1 W7 q0 i+ [
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
