|
|
Absolute deviation, 绝对离差; W- r5 p' b* l$ ^5 Q3 R) D
Absolute number, 绝对数
1 G* {8 v8 f) w6 }Absolute residuals, 绝对残差
! @8 `( z' c. x; r$ g* H: ^' RAcceleration array, 加速度立体阵) ], d1 ~& I2 T' d. [) h. ]9 l+ F
Acceleration in an arbitrary direction, 任意方向上的加速度
& b# G) A/ x) {+ W/ PAcceleration normal, 法向加速度
% M+ Z# `# ~9 g5 G( x$ X& {: JAcceleration space dimension, 加速度空间的维数 U$ s X( X* Y
Acceleration tangential, 切向加速度4 D) ~- v1 s$ `0 Q4 c, U
Acceleration vector, 加速度向量# P: W+ `7 Y+ N$ R& \* S
Acceptable hypothesis, 可接受假设
' u& Y% i. _8 T+ R/ p [$ F4 RAccumulation, 累积
3 I+ t1 v3 _3 X; e' i( m$ u$ xAccuracy, 准确度# J# V7 V" z3 Q* l& t
Actual frequency, 实际频数
. v/ Y2 r- G- b$ z% h3 g. x# @Adaptive estimator, 自适应估计量
; z& u- Y/ C8 _4 Y8 L$ WAddition, 相加( {0 M8 k7 h+ W6 P# ~: o
Addition theorem, 加法定理
r, E' r) _: m, Y# FAdditivity, 可加性& p) s. Y; Z6 j) m
Adjusted rate, 调整率
0 r4 ~# v' q- D4 O' Z$ wAdjusted value, 校正值
+ p8 a3 |. Y; fAdmissible error, 容许误差3 [- @ B* S& O; x( s
Aggregation, 聚集性
: Z. {: S% b& s8 W3 dAlternative hypothesis, 备择假设
* ~; X/ y" r. q# V% G7 J2 a6 s( D vAmong groups, 组间& h8 B' ]8 c# P9 T8 B/ G
Amounts, 总量! }: P) F8 e: O8 H6 d
Analysis of correlation, 相关分析
, ^( w* t/ ^0 F' ~* KAnalysis of covariance, 协方差分析
" n6 H) q! T) j) M8 xAnalysis of regression, 回归分析
3 N3 p" k2 T* C& RAnalysis of time series, 时间序列分析
/ V( R; G$ B' o2 D6 q2 VAnalysis of variance, 方差分析
) ?8 q |% j' c, P9 m! oAngular transformation, 角转换- F: z5 F6 \1 Q; [! C4 a* E
ANOVA (analysis of variance), 方差分析
5 k3 n6 m0 i: k) i4 ]$ ZANOVA Models, 方差分析模型: H% w* ~& F" h* V
Arcing, 弧/弧旋
/ X# C+ y% }, h( E% rArcsine transformation, 反正弦变换
# v N0 a+ k' x( P! D ]' S* fArea under the curve, 曲线面积
8 \; D y2 j; F% i9 SAREG , 评估从一个时间点到下一个时间点回归相关时的误差
* `+ z9 \* x, e i. Y; \ y3 jARIMA, 季节和非季节性单变量模型的极大似然估计 & X- ]: g8 w! i% q
Arithmetic grid paper, 算术格纸
' o9 r, q* L( oArithmetic mean, 算术平均数" Y8 H7 k+ ~8 \' v4 I
Arrhenius relation, 艾恩尼斯关系
# c8 M" k r, T! _- x+ R) BAssessing fit, 拟合的评估
0 R \2 n c. y" _$ SAssociative laws, 结合律, \4 {$ _# X; h4 M
Asymmetric distribution, 非对称分布
0 ]3 x/ p% D! E9 T- n# uAsymptotic bias, 渐近偏倚* o: `! N3 T' m& U! _* w
Asymptotic efficiency, 渐近效率. ?# W, G7 s& V! `9 N
Asymptotic variance, 渐近方差
4 R$ |0 `! E2 p( v! d0 ZAttributable risk, 归因危险度
& B' c! U; _$ |2 @) JAttribute data, 属性资料9 s* S1 g$ W" g: W# b
Attribution, 属性
. f/ L6 F5 P$ A% vAutocorrelation, 自相关
+ r* O" [7 J5 F2 X/ tAutocorrelation of residuals, 残差的自相关
3 I" L+ c; d. x1 \' U/ ZAverage, 平均数+ N1 ]/ R1 [4 Q/ L' P3 t
Average confidence interval length, 平均置信区间长度. V* v: y2 V% x3 E* r5 d4 i
Average growth rate, 平均增长率* G) b# ~0 ?! _
Bar chart, 条形图
6 C: {! {$ O+ ~" X$ {Bar graph, 条形图5 E$ g. _) y# }* Q
Base period, 基期2 Q2 P+ t1 S0 m4 y
Bayes' theorem , Bayes定理
# q0 c5 ?8 ?9 L* f( H" `4 qBell-shaped curve, 钟形曲线
5 o+ }: d# P& e* i* ]& }Bernoulli distribution, 伯努力分布) [9 _) {4 w2 i3 \, D1 u
Best-trim estimator, 最好切尾估计量
% h' r |: j( r! q( w: ~7 |Bias, 偏性
( Y/ l& s, ~: R6 M- z/ V- {; ?Binary logistic regression, 二元逻辑斯蒂回归
# R5 X( p9 n3 x' c8 R) P( fBinomial distribution, 二项分布
: ^. F7 N, ?1 P) U' A# XBisquare, 双平方! i* @3 K `' w% E
Bivariate Correlate, 二变量相关4 p: G% d) S! c" T/ r N: v
Bivariate normal distribution, 双变量正态分布
- P) r! z( s7 {, W; _. T/ `1 @1 ~1 c6 tBivariate normal population, 双变量正态总体4 w2 x; W; s/ v, @' Y6 M* _, c" ^! w6 C
Biweight interval, 双权区间
! e/ ]' Q' q7 y T; V9 @Biweight M-estimator, 双权M估计量
! V! a0 o7 I1 E& @- g6 d7 @Block, 区组/配伍组; }. ~1 @3 @2 o
BMDP(Biomedical computer programs), BMDP统计软件包2 ^4 z& M6 l& }% r6 v
Boxplots, 箱线图/箱尾图
h) n! c* d- Q+ B4 t! rBreakdown bound, 崩溃界/崩溃点
8 G) I6 E* j9 ]) g' p2 J; y) \Canonical correlation, 典型相关- e! F# T) x9 o* G) x- e; T c9 P
Caption, 纵标目
1 n( |8 S, w+ @Case-control study, 病例对照研究
0 S" s9 x8 N! \' \# j- p$ TCategorical variable, 分类变量1 r; e) h; U2 L/ ]# G
Catenary, 悬链线
2 e$ A+ A* Q4 s7 p$ ZCauchy distribution, 柯西分布# P5 ~0 L3 x& c, `' a' b
Cause-and-effect relationship, 因果关系
5 g' F- m* T# ?9 nCell, 单元- p8 C* N0 x' N9 C# G: S" R
Censoring, 终检
+ J1 m( z. b& P' s* RCenter of symmetry, 对称中心
6 w9 J7 R! i3 K3 lCentering and scaling, 中心化和定标
2 d5 p$ F( I4 g% ^& VCentral tendency, 集中趋势
9 `, q$ i" |# V8 u9 k" c$ QCentral value, 中心值
1 V! r% z# V3 Q9 y- f& Q$ v! ]6 ^CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
5 R" A, Q/ o4 t, V9 W( L) yChance, 机遇0 r! M1 O! ]! a: t% Z
Chance error, 随机误差' f9 X3 }7 s: ?+ {8 I# Z
Chance variable, 随机变量% Q4 d8 x- _# ]
Characteristic equation, 特征方程
1 z. |5 G6 [: l/ o/ c1 BCharacteristic root, 特征根5 ]' ?9 l+ x' x: J
Characteristic vector, 特征向量
6 m/ [ j8 N$ bChebshev criterion of fit, 拟合的切比雪夫准则3 v6 ?- X: m# ~% C7 o
Chernoff faces, 切尔诺夫脸谱图
- p1 K4 e, y) c5 X3 Y3 h' y8 qChi-square test, 卡方检验/χ2检验
, _& F3 j: P3 v, i8 j, x& yCholeskey decomposition, 乔洛斯基分解2 h4 i7 S% y- ?3 Z# W
Circle chart, 圆图 ) N2 a8 B& G- s% \+ K* Z' L9 ^ z
Class interval, 组距
: {* Y! U$ P) p# n( KClass mid-value, 组中值
; U1 D1 c$ M& E1 ]Class upper limit, 组上限
( N1 A& ^+ f) J9 SClassified variable, 分类变量
# l R) P8 O5 F. M5 ACluster analysis, 聚类分析
# r: p; y/ j: J" @Cluster sampling, 整群抽样
9 L' V4 Z' o7 w1 N1 \: }$ \Code, 代码
/ R& g8 `! k; o+ xCoded data, 编码数据
: ?( u4 N4 j8 N1 K; e0 Q y1 X. z9 WCoding, 编码9 G3 I/ ]+ m9 S5 O- K0 G- p }7 r& f
Coefficient of contingency, 列联系数
/ e! L( F: p x5 {) BCoefficient of determination, 决定系数
" v9 E$ Q( N3 yCoefficient of multiple correlation, 多重相关系数" K/ L" s3 g8 Q; l* u
Coefficient of partial correlation, 偏相关系数( D9 t& b5 A6 H+ P
Coefficient of production-moment correlation, 积差相关系数
; ~3 \, l @- E% ZCoefficient of rank correlation, 等级相关系数
' H# v7 K6 T# J) rCoefficient of regression, 回归系数
" U6 k) B( w. f* b# CCoefficient of skewness, 偏度系数, C( K: L- y6 ^4 D9 v
Coefficient of variation, 变异系数* V" y- |) T: ]& t5 q( {/ u
Cohort study, 队列研究) i; ^4 Y7 ~; w! u; j8 v# E1 A
Column, 列# _- y$ \8 N0 X8 f( h. ~& a8 o
Column effect, 列效应
8 ` U! _( z" f) \0 f/ B8 a, r% K0 PColumn factor, 列因素; @; p8 U- H3 _- T& h' `& w
Combination pool, 合并' Q5 A D) @' u. u/ b( [
Combinative table, 组合表) k. B4 Z/ e: X% \* F1 F
Common factor, 共性因子
2 L! V' k6 H/ s$ ]) I$ eCommon regression coefficient, 公共回归系数2 d! y$ z8 J6 o7 {
Common value, 共同值! A( f) D- O- g" O
Common variance, 公共方差$ H* L1 g, ^8 k4 m5 b6 \
Common variation, 公共变异; U8 \9 n' k: r4 V) z; ~
Communality variance, 共性方差
$ V. u2 O' j5 S* B% u7 F( wComparability, 可比性; w2 x7 K* ~* ^, ~* {- O& E: e
Comparison of bathes, 批比较0 M# }9 m" e9 ^) _' I5 r
Comparison value, 比较值
- F/ H+ r! I5 F" w1 O3 ICompartment model, 分部模型
/ |/ {, @% g4 V" H; pCompassion, 伸缩2 {$ Q- n3 E; d6 R
Complement of an event, 补事件7 x& m* j7 J0 B d- M
Complete association, 完全正相关2 G7 j. r# v2 G% \" E
Complete dissociation, 完全不相关
! r; j7 ^0 ]1 F3 ]. l/ {6 M' h9 XComplete statistics, 完备统计量$ F3 z$ I9 l9 E) |3 x, U
Completely randomized design, 完全随机化设计
1 H4 f, I, u/ S( V9 I5 sComposite event, 联合事件
# {' e9 W; n6 s" \' `! ]1 cComposite events, 复合事件3 A# s" U* w9 Y7 X$ k- i
Concavity, 凹性+ y+ N' I% }, Z1 e
Conditional expectation, 条件期望
& V+ t, ?6 T- q0 n/ D A JConditional likelihood, 条件似然% D; w% V# U, R o- `
Conditional probability, 条件概率
* l! v& V& j/ k8 ~Conditionally linear, 依条件线性8 A( T; h% v3 a0 |+ z
Confidence interval, 置信区间
% o- g7 B- ~$ M1 o- MConfidence limit, 置信限1 {$ ^" a5 p# m: C3 K
Confidence lower limit, 置信下限 N! }/ m8 P% U2 ^
Confidence upper limit, 置信上限, L( Z4 _! ]% `' A5 `3 u
Confirmatory Factor Analysis , 验证性因子分析" h3 n; {/ G6 j# }
Confirmatory research, 证实性实验研究
1 r" H/ \1 f4 a) U& ~/ ^Confounding factor, 混杂因素
, K' A& r# Q! }- ^" H+ ?1 N' F1 m5 VConjoint, 联合分析
0 n; O- g; M& c+ s3 CConsistency, 相合性8 `/ ?* w2 ?8 b" T1 O
Consistency check, 一致性检验6 g! j# `5 T9 x/ H1 r3 k' _
Consistent asymptotically normal estimate, 相合渐近正态估计8 x% X8 T% B1 @2 v( i& I
Consistent estimate, 相合估计% \% G( p& m! T% N4 |
Constrained nonlinear regression, 受约束非线性回归
5 Q, @$ y* K: I) BConstraint, 约束
6 h5 B7 `( h7 M; D8 lContaminated distribution, 污染分布
' U7 V# I, ^8 q/ ]Contaminated Gausssian, 污染高斯分布' C: }3 T* w$ i; k
Contaminated normal distribution, 污染正态分布$ K) v3 }% E; q8 |9 P
Contamination, 污染
' w. f& \4 k6 JContamination model, 污染模型6 J) N; ]* _9 o M
Contingency table, 列联表
( d9 r W# |: f U7 W$ F" zContour, 边界线
; B" Q( n6 U% J4 u4 W9 _Contribution rate, 贡献率
+ u/ C+ Q# J9 LControl, 对照7 P3 n1 R0 f* C. O* d, S4 G, }$ k
Controlled experiments, 对照实验
# N. p( i' C# `! }Conventional depth, 常规深度" c" ]+ F% Y, t5 |3 ]* s
Convolution, 卷积9 ~5 W4 g+ A r3 [6 E$ R7 |
Corrected factor, 校正因子. q5 v, c# N# B# e) e
Corrected mean, 校正均值) O: k7 @$ S/ `! Z
Correction coefficient, 校正系数
5 f. p6 A& }+ f V j- t5 bCorrectness, 正确性
3 C: G6 W* w- n, q2 xCorrelation coefficient, 相关系数! s& X: E9 c% Q
Correlation index, 相关指数
6 y6 s' e9 B, ~, {# v# nCorrespondence, 对应
% K9 I/ T( } S$ y# FCounting, 计数9 ~ ^# D7 i- L: L7 V7 @% @# x( L
Counts, 计数/频数4 {1 g& _0 R) _1 G& F1 W
Covariance, 协方差$ \+ m" _2 M/ H" Z" Z! i9 N
Covariant, 共变 ; M" O# P' R. P! V9 @+ W w
Cox Regression, Cox回归
+ m/ r8 e5 \+ G9 h; |Criteria for fitting, 拟合准则
' J! x+ W9 N7 S, t' mCriteria of least squares, 最小二乘准则
% _5 v1 h# V) P& x- s/ {! J TCritical ratio, 临界比
! h" v- B2 q& o, k0 c7 kCritical region, 拒绝域/ x7 x; }9 F. l& K1 _2 N
Critical value, 临界值3 i8 f& S$ ?* K* f0 x( \
Cross-over design, 交叉设计, v( r" W& Q4 a _% Q
Cross-section analysis, 横断面分析; Y0 n- [+ X8 W2 f4 Q" b
Cross-section survey, 横断面调查' | y+ ?5 h+ C/ _+ ~
Crosstabs , 交叉表
% X6 I6 B/ H- v( Z. jCross-tabulation table, 复合表& V& V! |# `# f7 u/ Z2 @
Cube root, 立方根8 L0 {& L- L3 D8 T( g6 P
Cumulative distribution function, 分布函数0 z' o4 q. z* u1 z# P, \" u# ^
Cumulative probability, 累计概率
! r0 K' V! k8 YCurvature, 曲率/弯曲% i+ `3 n2 |, m* S5 Y7 W* E
Curvature, 曲率0 X+ ~0 C4 g+ B; C1 O% F3 r
Curve fit , 曲线拟和
' F ~" L4 g+ P; t& g8 oCurve fitting, 曲线拟合+ ^# D% ~: U2 v$ b
Curvilinear regression, 曲线回归$ O1 a! D% s+ T) b
Curvilinear relation, 曲线关系
u+ m3 Z# N" E3 }8 X [) iCut-and-try method, 尝试法1 O8 @, h2 t1 A0 P! K
Cycle, 周期. z6 v& G+ {6 u; [" \# {: ^' z$ f
Cyclist, 周期性+ n$ S3 {9 |2 O+ D/ z1 E$ J/ r7 l
D test, D检验4 @9 E9 T# i: T
Data acquisition, 资料收集. b. t u4 A3 v3 _4 q
Data bank, 数据库
* z# Y8 @) Y; M% P$ IData capacity, 数据容量, Q4 W4 r- d# Z) ~- a+ C: q
Data deficiencies, 数据缺乏
6 d) |' R/ q& E. F- MData handling, 数据处理: e9 M6 q& ?' t
Data manipulation, 数据处理+ |+ f" t+ V0 D
Data processing, 数据处理
8 D8 u& g; Q0 b6 q" \7 a9 L0 rData reduction, 数据缩减
3 o+ ~4 e$ R) X) z7 oData set, 数据集
+ h) c7 ]0 d) K7 NData sources, 数据来源
' h/ { p; \5 f8 ~1 {$ f. f1 cData transformation, 数据变换, n) J( F% O. f; G! o; h- z
Data validity, 数据有效性
! `, K. W! X E) RData-in, 数据输入* c) C, `& J4 m7 n! A
Data-out, 数据输出/ s$ ~; P( Q% k0 l1 B% T2 _4 J6 ~
Dead time, 停滞期
! R9 Z2 ?' }0 h) Y' x; L; T& l" pDegree of freedom, 自由度
% U V" p: r: ]6 Z: {* C7 S7 kDegree of precision, 精密度
1 c) ]$ n) i. Z2 U9 ^) YDegree of reliability, 可靠性程度
4 M l0 p! R2 u- O2 k8 _7 ODegression, 递减
- q6 U& [6 ?. U9 C/ |% rDensity function, 密度函数
U9 ?1 h# h0 F9 GDensity of data points, 数据点的密度; D1 ]1 |/ M3 S: o, }! G3 J! k1 d
Dependent variable, 应变量/依变量/因变量
- a5 ]) H" B) W9 R: r- QDependent variable, 因变量
* L; O8 H; n: m m! tDepth, 深度
6 F1 m! l. n) ` |Derivative matrix, 导数矩阵
) L3 H# Y. f2 l+ n; i& P, X* L7 C* JDerivative-free methods, 无导数方法
& g+ ]* D( r% k$ Q' uDesign, 设计
9 U- E1 W) u5 p/ XDeterminacy, 确定性$ \7 R5 r7 E- |& ^. @5 @
Determinant, 行列式
6 ^' d: [. R$ \& KDeterminant, 决定因素
4 H/ O4 N1 r' \" IDeviation, 离差7 b* Q$ y4 w5 E6 y. k
Deviation from average, 离均差: R/ O( k) _* Z v! H: A# ], M
Diagnostic plot, 诊断图; \) {' A; ?) [& H- `
Dichotomous variable, 二分变量5 ]( p( F& F' ^* \' S$ u2 q
Differential equation, 微分方程6 M# b% u, D( j* L: w6 F
Direct standardization, 直接标准化法
* ?, _3 Y0 Z; \( x" V1 nDiscrete variable, 离散型变量$ J0 X( G: {& J) }- n* |* i2 u
DISCRIMINANT, 判断 ; J4 x& c* ^, ]3 u% B2 w0 D
Discriminant analysis, 判别分析
/ A, h, Y* h# t4 dDiscriminant coefficient, 判别系数
, J8 [1 g8 q# |2 d4 U7 f' uDiscriminant function, 判别值
) b" `: g l+ g! }& SDispersion, 散布/分散度
& I5 w4 @1 W8 g; l3 CDisproportional, 不成比例的! _3 q& _' z5 z, H, O
Disproportionate sub-class numbers, 不成比例次级组含量: s9 `* U6 q5 r# G7 x' u" V
Distribution free, 分布无关性/免分布! N: j" g- h$ Z/ L. R6 ]
Distribution shape, 分布形状4 l( |; N+ N2 q# R# ~ r$ T
Distribution-free method, 任意分布法& I4 F. p4 o0 ]$ b8 m. v
Distributive laws, 分配律* a7 O& i1 a+ k1 Y
Disturbance, 随机扰动项
0 k' [1 K0 b4 {# y# a$ v( gDose response curve, 剂量反应曲线; F. w4 n+ t9 E& u
Double blind method, 双盲法; g5 T i/ o; Z, U* e3 W, t4 i
Double blind trial, 双盲试验- n$ |, x5 i! A" f9 R1 e
Double exponential distribution, 双指数分布! b0 ~5 `4 h! U7 ]
Double logarithmic, 双对数
( o3 G" G, u9 l$ @6 E' O: i% rDownward rank, 降秩
8 ], W$ @( S, h2 r- f6 z1 @Dual-space plot, 对偶空间图
# l( {3 B2 V9 U5 N3 UDUD, 无导数方法& X9 U- x" a9 R5 L* `
Duncan's new multiple range method, 新复极差法/Duncan新法
' D9 ~: |. y2 W- Q" i0 cEffect, 实验效应% T$ j+ U# k( U. o$ S
Eigenvalue, 特征值& b$ P2 o) ^& g) F" S3 Z
Eigenvector, 特征向量
; ]% ]# V7 f) b& E' P- L" z8 X& XEllipse, 椭圆
/ W3 S* _8 L5 JEmpirical distribution, 经验分布: `0 W# |4 L8 ?
Empirical probability, 经验概率单位
) M2 x1 `, Z- N+ U' m0 K8 tEnumeration data, 计数资料
3 P, E( u$ ~9 d( b) vEqual sun-class number, 相等次级组含量
) N' p* ]: H" G+ H/ p j$ eEqually likely, 等可能
5 E6 P& N- X1 T: _Equivariance, 同变性% J" ~+ f/ E7 i3 m) R5 [* J
Error, 误差/错误
( h4 a- z/ j. p2 n( W$ f, uError of estimate, 估计误差
7 N3 b! D, J1 ?) ?4 ^; @Error type I, 第一类错误1 K, k2 R9 T; ^6 I
Error type II, 第二类错误; v+ G* V4 }1 d5 [/ y& r
Estimand, 被估量
0 Y0 N) T! q) X% \Estimated error mean squares, 估计误差均方! ]. ^4 M7 q+ g$ u
Estimated error sum of squares, 估计误差平方和5 V$ `: Z: X2 M! [3 d* E; {; Y( ~
Euclidean distance, 欧式距离& g& N( b" r7 \, x, w7 }- e0 f
Event, 事件
& C) o* S5 w! _/ B' N: QEvent, 事件/ R$ r7 N. F1 b5 d V( P8 U6 O! o
Exceptional data point, 异常数据点
! }3 |. E& T% ] ?$ C9 {Expectation plane, 期望平面( f" M, o/ |6 ~
Expectation surface, 期望曲面4 p# G( ~/ B8 j. @9 Y
Expected values, 期望值 M! ?7 G! ]/ b2 I: Z
Experiment, 实验
' N, J" M; v; t! G, z3 }. K0 UExperimental sampling, 试验抽样
! n: B3 O3 ^1 ^. _. DExperimental unit, 试验单位
! S; e- m8 K- b3 R( o# U" h; R% OExplanatory variable, 说明变量5 a! r* L9 X- S8 q4 j; J' S
Exploratory data analysis, 探索性数据分析; C) D7 I) q/ [& Q4 C% j
Explore Summarize, 探索-摘要
5 z! _+ D+ F0 Y9 b# e" c5 |5 N5 s, PExponential curve, 指数曲线
# C0 X2 z4 v! w4 h) X9 QExponential growth, 指数式增长: K; M+ v A# @, O' R/ X
EXSMOOTH, 指数平滑方法
R& h# q0 v5 e1 S1 m; IExtended fit, 扩充拟合) K7 v- G3 ?% q- N. {$ T
Extra parameter, 附加参数
. h% A4 h' J# e- z O0 a8 rExtrapolation, 外推法
6 Z4 n! r- Q* D6 n5 }+ S. ?2 _Extreme observation, 末端观测值# \+ x' i c: O& ^
Extremes, 极端值/极值
( s6 n* q5 ^+ E+ z" G; XF distribution, F分布; e2 d/ r0 Z6 Q3 A+ y
F test, F检验
" y5 |+ I/ |, r8 b9 x2 f$ SFactor, 因素/因子
0 y* z4 ] R$ i, ^7 f* Q G. EFactor analysis, 因子分析
4 P3 u. f4 f' t$ a) vFactor Analysis, 因子分析
: ^4 V) |% o6 M5 AFactor score, 因子得分
) m/ V5 G- d/ |) k: _& p& PFactorial, 阶乘1 Z, i `% p' Q# u0 a- M6 S9 G
Factorial design, 析因试验设计
- n' Q5 C/ |- S' M M2 s! p$ D; ^% |' tFalse negative, 假阴性
# \# }! J5 D* X0 ?- L! cFalse negative error, 假阴性错误
6 s% R0 e3 r% T% b; GFamily of distributions, 分布族5 r: |, k; F( k5 E
Family of estimators, 估计量族
( R8 k: s6 \% h# W2 f8 M+ g8 I* {Fanning, 扇面& k4 X( e j1 \8 B/ j8 X
Fatality rate, 病死率
* ~; u2 l' y" I2 S7 B- `. EField investigation, 现场调查
" @) q( H& c* T. z& Y( l% qField survey, 现场调查& A' ~( M3 l, l5 O% n
Finite population, 有限总体
8 b! X t( \, J6 x) }& d3 LFinite-sample, 有限样本
4 G0 H4 }9 X5 V/ \; a6 CFirst derivative, 一阶导数. C' X6 Z8 K% g) N& T9 k0 X
First principal component, 第一主成分
: o7 C+ b, w& Y) YFirst quartile, 第一四分位数 U0 X& X0 }# h; v5 v2 Y0 ~
Fisher information, 费雪信息量0 u4 u% a" f( B: ~
Fitted value, 拟合值
4 a- z# t2 j" L( w% @Fitting a curve, 曲线拟合
$ A+ O1 ~/ w k( l3 ^- AFixed base, 定基( C& u3 ^; v# y
Fluctuation, 随机起伏
* N; q2 z$ ~7 @Forecast, 预测
! o7 @: y; g3 ?6 R/ J* U# VFour fold table, 四格表
1 ]' r: [* i) {Fourth, 四分点
1 f. K/ e3 p# uFraction blow, 左侧比率9 M% D; {2 a0 ~/ h3 z
Fractional error, 相对误差
3 S2 D8 y: e7 `! Y6 r% s9 OFrequency, 频率
( M6 X! y3 [" mFrequency polygon, 频数多边图( O8 j4 C# | j
Frontier point, 界限点
8 a z* A# T5 k, ?6 Z9 h$ D% SFunction relationship, 泛函关系
$ P0 v4 b ~5 @& ZGamma distribution, 伽玛分布
( ]0 w6 d: V+ R7 BGauss increment, 高斯增量
1 B- j: V% Z' e& n: p8 E$ Z* mGaussian distribution, 高斯分布/正态分布+ t7 U3 i9 D1 F! v/ G, F/ d* ~
Gauss-Newton increment, 高斯-牛顿增量
# D% z h, D6 G7 S& U2 wGeneral census, 全面普查9 I& z; l; }) p4 S& {( e' o" w
GENLOG (Generalized liner models), 广义线性模型 5 `# b, X& L* R1 u) P8 ~
Geometric mean, 几何平均数
2 ]' z5 l y8 |& Z% OGini's mean difference, 基尼均差/ Y; r! q1 K0 X3 g v x
GLM (General liner models), 一般线性模型 0 ]' R2 M: U0 n+ ^* y
Goodness of fit, 拟和优度/配合度
6 I0 c7 r# h( m2 b7 E2 z8 P% ?Gradient of determinant, 行列式的梯度
! ?3 I9 r( K/ k- S/ h! o3 fGraeco-Latin square, 希腊拉丁方
2 B" x3 K$ d9 u+ BGrand mean, 总均值
( ~" O5 p4 [% D' b) xGross errors, 重大错误& T' b! v4 G2 C5 X" R4 P5 K. D
Gross-error sensitivity, 大错敏感度
0 L7 l# @0 S4 }0 B: c; f8 X7 pGroup averages, 分组平均
' N& Z5 i8 e5 t' b0 ~Grouped data, 分组资料; Q+ L6 p; Z& U9 a5 f( D Z
Guessed mean, 假定平均数6 j# Z( l# j/ v' k3 U% q' }
Half-life, 半衰期
0 L' {/ j) ?' Q' [Hampel M-estimators, 汉佩尔M估计量
. l( t) g0 ~6 v; e6 H- cHappenstance, 偶然事件
8 s$ V4 d) a# F) A% XHarmonic mean, 调和均数; \8 e# F/ E( f3 M: X8 e( \
Hazard function, 风险均数6 Y) I0 _7 t, }) Q
Hazard rate, 风险率
5 Q# s. u1 m r' s3 V. E- V3 B- PHeading, 标目
; `& d. p [! Z! `7 HHeavy-tailed distribution, 重尾分布- {% ^; L- D6 d1 O5 N6 X
Hessian array, 海森立体阵, z) T* [: P6 R+ b8 T1 Q
Heterogeneity, 不同质; z1 P3 |2 _4 e. D7 e+ H
Heterogeneity of variance, 方差不齐 6 V. `/ g3 _& J% m* [) d
Hierarchical classification, 组内分组
" M$ S" v6 B8 O7 @* \6 J0 ?3 I; n" jHierarchical clustering method, 系统聚类法- e: v" ^ X. V2 s g3 {
High-leverage point, 高杠杆率点4 o/ a: m. v$ c7 M+ P* {) O/ S I: M! H
HILOGLINEAR, 多维列联表的层次对数线性模型/ ]1 D4 v# m& h, S+ K7 x& |" ~2 u
Hinge, 折叶点
- q8 n+ {) n' t. h( H0 R1 d6 VHistogram, 直方图* L" U1 n% N1 f
Historical cohort study, 历史性队列研究
4 ~& M$ U$ ?3 C+ k& AHoles, 空洞9 F: D8 c3 ?3 O/ y# v$ `5 N! o
HOMALS, 多重响应分析) G0 |. C7 [, _$ x2 y5 {
Homogeneity of variance, 方差齐性
5 K4 |* K) J7 \ I2 f6 IHomogeneity test, 齐性检验* I; y3 S# k5 n" }( H' I; w# s2 |
Huber M-estimators, 休伯M估计量
; _* K. u6 S: F: A6 g0 v lHyperbola, 双曲线
, |5 L6 E* @" [, bHypothesis testing, 假设检验
2 Q, f/ p8 y! E- W9 M1 a# x& dHypothetical universe, 假设总体
7 Q8 q! A' ]0 c1 jImpossible event, 不可能事件6 W: s6 {! Y2 t" g3 ]
Independence, 独立性
' _3 L% A5 r% @% v; W# AIndependent variable, 自变量
2 l2 w5 v- l* [* L* W. M& TIndex, 指标/指数
, I9 g D; _" BIndirect standardization, 间接标准化法( U2 V- \+ e, U7 j5 h9 m: a
Individual, 个体
- R$ M0 \7 M6 YInference band, 推断带5 |* \3 d- O. j# B- w
Infinite population, 无限总体2 ^- H8 `% H+ b4 }$ _5 P' A8 D
Infinitely great, 无穷大9 D6 y1 c* Z* N. w H
Infinitely small, 无穷小
4 t. V9 N; [1 iInfluence curve, 影响曲线
+ u. N# X4 \! {; G. S5 s% XInformation capacity, 信息容量
1 E% c& O4 Q/ Y, y0 j6 _$ v3 |; T L( iInitial condition, 初始条件
8 X) ~3 I( A, M7 |) TInitial estimate, 初始估计值* n/ u. k" x& e5 j, B1 R
Initial level, 最初水平% s& T3 A6 o% \- \$ }
Interaction, 交互作用8 D' e% p6 _) b f- s0 C% y
Interaction terms, 交互作用项& [+ G) F' n- L* b# T7 w4 z
Intercept, 截距. ?4 l/ a" w0 B9 \- _
Interpolation, 内插法
4 w) Y; G% Z5 l" a5 WInterquartile range, 四分位距6 W# @) c' a i0 I, T! }0 }% {
Interval estimation, 区间估计
0 ~: q7 p5 `' W/ {( Q0 ?Intervals of equal probability, 等概率区间6 ^, R, @2 j5 v$ l
Intrinsic curvature, 固有曲率7 X u" C/ n6 {+ X* N4 H
Invariance, 不变性
8 @3 u' |4 g7 d; [Inverse matrix, 逆矩阵! S% a# \7 g( a) K# l
Inverse probability, 逆概率+ {- w9 g9 }4 }6 {3 R
Inverse sine transformation, 反正弦变换# c6 C7 }( i& ^; Q$ q) x
Iteration, 迭代
" N' G w# m, G6 f' wJacobian determinant, 雅可比行列式& L; o5 r. P* Z1 F# o; R. u) `
Joint distribution function, 分布函数
+ |6 ^+ w$ R8 X9 e2 W, lJoint probability, 联合概率/ o4 E* n7 _% W: U0 ^3 y7 u
Joint probability distribution, 联合概率分布. M' D7 E8 x x% k$ }: z# w
K means method, 逐步聚类法
' T" P L( A# {$ s: PKaplan-Meier, 评估事件的时间长度 6 e& k5 g8 F; I3 q' t# o) S6 ]* f
Kaplan-Merier chart, Kaplan-Merier图
8 x8 Q; V7 ^9 y, U, d# D3 @8 W; wKendall's rank correlation, Kendall等级相关2 S1 u( D) I+ y) y' `. f- N
Kinetic, 动力学0 g" R' w/ k, u6 b( w
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验 \0 i4 t( Y4 T+ W a
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
6 c: S0 N( K) h* TKurtosis, 峰度0 ~( z# Q: \$ d W
Lack of fit, 失拟
& G/ @1 X+ v1 H. u' t- gLadder of powers, 幂阶梯
. ]' @5 L& S% T7 e6 C d# Y7 yLag, 滞后
/ i( F3 R2 J! \7 _( K* M) @! ?7 S9 u- ?0 PLarge sample, 大样本0 f7 x, X. L7 ]
Large sample test, 大样本检验
7 i2 K$ C) w6 ~# ]+ D/ wLatin square, 拉丁方, a0 \( t7 S$ z# x
Latin square design, 拉丁方设计9 P9 e! f; i3 j1 ?2 v
Leakage, 泄漏. a+ J& f' {8 f8 {' f& M) g0 u0 h
Least favorable configuration, 最不利构形1 E* Y; D8 r, A" f8 }. o+ d1 Z
Least favorable distribution, 最不利分布& F/ Z, a* F+ G1 P6 `( Z
Least significant difference, 最小显著差法
: n5 j5 u/ |. B1 OLeast square method, 最小二乘法
+ f7 l1 L M, p1 CLeast-absolute-residuals estimates, 最小绝对残差估计4 O( o' d$ p6 O6 |5 Y
Least-absolute-residuals fit, 最小绝对残差拟合
4 g; [$ F/ a. b8 xLeast-absolute-residuals line, 最小绝对残差线
% O% X0 x7 z; |8 b1 iLegend, 图例6 J5 {+ u4 M" p! {, U- [4 C
L-estimator, L估计量
5 m( _; ?7 q' @5 n5 }% ML-estimator of location, 位置L估计量
+ V2 D8 u( k3 _! r- IL-estimator of scale, 尺度L估计量4 E% u7 a) P, J7 ]
Level, 水平
5 L3 H, ~$ b2 _9 x$ ^ h- ?* yLife expectance, 预期期望寿命
9 H0 r3 y) }2 r0 S. H" WLife table, 寿命表 ^/ A" R* z" _4 b' N+ R- Z& m
Life table method, 生命表法
* }4 Z) s7 |4 |* J5 g0 n! f: e0 E- gLight-tailed distribution, 轻尾分布
0 `4 x8 X: E. d ]/ d/ O# P3 Q/ ZLikelihood function, 似然函数$ s- l' K7 o1 [* C1 ^0 u s
Likelihood ratio, 似然比
1 b, N! B2 [ C- Z6 Qline graph, 线图* w3 x2 C( U& a+ n
Linear correlation, 直线相关
/ g, N" a+ w% X$ ~& v0 X& i" oLinear equation, 线性方程- k# {) I9 |7 O$ t! N' m" B, y. c7 d
Linear programming, 线性规划
0 C# L! a, s9 d, d9 Y/ w6 b4 f7 OLinear regression, 直线回归% r* ]7 t/ R: T- \- J! A
Linear Regression, 线性回归
. Z# j8 D1 L. F' QLinear trend, 线性趋势4 ^: { ?; ~- ~2 b
Loading, 载荷
! T$ G; [' b, NLocation and scale equivariance, 位置尺度同变性2 H/ I. \( G( w' @! j
Location equivariance, 位置同变性
! w7 d- L2 ]9 B3 o3 h8 dLocation invariance, 位置不变性( n. u; o. b- S. Q. n
Location scale family, 位置尺度族
; W2 E0 O$ v; J- n8 L2 BLog rank test, 时序检验
+ `# R3 s' K/ ?% p& Q' jLogarithmic curve, 对数曲线
5 J% l4 Q3 i0 t7 K9 Z% e1 U) o+ OLogarithmic normal distribution, 对数正态分布
8 @) x7 N$ a# F4 x2 @- Y5 _8 q$ PLogarithmic scale, 对数尺度
# [. p s; P p& g( ^$ A8 ^9 T* ]Logarithmic transformation, 对数变换
0 n& c; {$ J. X% ]. f2 S4 v4 Q7 `; [Logic check, 逻辑检查
- u5 {9 T6 Y1 k8 BLogistic distribution, 逻辑斯特分布3 J* V0 y8 F8 J7 S' j$ w
Logit transformation, Logit转换
( W/ _8 Y ^" M& cLOGLINEAR, 多维列联表通用模型
6 D0 C7 N) \2 S, ALognormal distribution, 对数正态分布
4 x- G4 R' f6 y& ^6 sLost function, 损失函数
* z) {) H$ t p. R! y5 W' cLow correlation, 低度相关- _$ O* r* G; g
Lower limit, 下限
2 M, x3 d- ?* R2 S" j [7 CLowest-attained variance, 最小可达方差
' I) }7 Z, A3 G a/ V4 X" Y4 z) A1 q# ELSD, 最小显著差法的简称
0 @; n$ F: u, u/ {. P7 nLurking variable, 潜在变量
# R/ ?7 ]# ` Y# u( \1 g5 [! {Main effect, 主效应
! v7 P- k/ s% D1 |. xMajor heading, 主辞标目
# c& H0 {, F: }5 C' A" H' fMarginal density function, 边缘密度函数% L6 o9 W, ?% i5 w9 H
Marginal probability, 边缘概率2 q- G: X0 h9 r( v
Marginal probability distribution, 边缘概率分布
3 Q% g6 w% X$ w) ^ c) PMatched data, 配对资料
6 {# o& u+ P5 U( C4 V% qMatched distribution, 匹配过分布9 E$ k- n# Y3 p! S$ b! m
Matching of distribution, 分布的匹配
2 s$ p, `$ L% ]- J9 n$ X* EMatching of transformation, 变换的匹配# F, {/ j3 m7 t) E; g- @5 S/ d
Mathematical expectation, 数学期望8 F0 f6 `$ i+ V. v
Mathematical model, 数学模型
( Z4 C/ H" u, ^; Q( n9 Y7 i2 k& _Maximum L-estimator, 极大极小L 估计量6 U* m9 V0 [! v2 \: ]9 S
Maximum likelihood method, 最大似然法7 p) X- O! r3 ~& D/ R7 o+ n6 S! e
Mean, 均数( G5 S9 y* j# a: l
Mean squares between groups, 组间均方3 J i8 D) c( P9 i
Mean squares within group, 组内均方
0 ]6 d. |- b9 y) tMeans (Compare means), 均值-均值比较
: m9 m, j1 j* VMedian, 中位数
& r/ e( j% N) _% P6 WMedian effective dose, 半数效量7 V* S7 i8 l+ C1 e5 c" o Q
Median lethal dose, 半数致死量3 j k& n+ k. r! K! _
Median polish, 中位数平滑% B! V+ `: A* S( V
Median test, 中位数检验' k: P% V6 ~5 J8 F9 p3 ^7 s$ c
Minimal sufficient statistic, 最小充分统计量6 ~7 _4 X0 j) P8 i- i
Minimum distance estimation, 最小距离估计. J" j3 Z0 E# Y! E
Minimum effective dose, 最小有效量
* H3 q. ?* [3 f9 L. J6 MMinimum lethal dose, 最小致死量( d0 ?" x+ m& ^: x2 u0 B1 y2 s7 k
Minimum variance estimator, 最小方差估计量2 i/ f7 c7 s* T9 ~) W, p3 o7 w/ k! S
MINITAB, 统计软件包
6 b! y! Y, @" ^9 B# C" b) C9 j# @# VMinor heading, 宾词标目2 N; P" w/ m" [ O. _5 T, w0 C
Missing data, 缺失值* H% k8 g# Q+ A' k, i: S
Model specification, 模型的确定
) E7 P8 I% V; h0 b; LModeling Statistics , 模型统计
2 a0 J4 O/ m( Y0 X: Y; ~Models for outliers, 离群值模型" `6 B1 b7 R- e; a
Modifying the model, 模型的修正
! I# }0 n- Y W* |3 e7 q3 a' pModulus of continuity, 连续性模
! q( k# H6 ^1 |1 |+ `Morbidity, 发病率 0 y) x2 \- L, t) }* ]3 v/ K8 l& Y+ `
Most favorable configuration, 最有利构形
A/ L1 N2 ]' V. G& X8 u4 RMultidimensional Scaling (ASCAL), 多维尺度/多维标度
% I4 @% R$ T0 R; EMultinomial Logistic Regression , 多项逻辑斯蒂回归: I' k0 P( T5 j
Multiple comparison, 多重比较
# m" O" q3 k) I( k2 GMultiple correlation , 复相关# z4 p7 y! t: T$ j& N$ N
Multiple covariance, 多元协方差
" i) _5 B- z! FMultiple linear regression, 多元线性回归, C3 @7 O- f4 s$ Z2 \6 C$ r; ?: r
Multiple response , 多重选项
; s! t& ~. M. W: tMultiple solutions, 多解) ]4 `! U" ^+ d4 f& u/ s9 M
Multiplication theorem, 乘法定理5 C3 R; n4 |2 \ y$ X9 d' x& P! C6 g
Multiresponse, 多元响应
2 R3 Y: C; b. M+ g* @9 \Multi-stage sampling, 多阶段抽样
. W* Y( D% P& D6 O( D% @# V: JMultivariate T distribution, 多元T分布4 t2 L9 Z! V$ _2 ?! C: I% |
Mutual exclusive, 互不相容% F: x/ _9 B$ w" l
Mutual independence, 互相独立6 P$ `$ d/ d v$ l9 {- G
Natural boundary, 自然边界
) ?, X. C a1 S2 rNatural dead, 自然死亡
9 m% |+ C5 ~: k3 Y4 s7 u: MNatural zero, 自然零! Q/ n+ z+ q, p# u( J3 T
Negative correlation, 负相关# ]# {7 |, _5 s6 q& I9 [
Negative linear correlation, 负线性相关* k5 m+ n1 ^- n
Negatively skewed, 负偏6 F9 y) q% P$ j/ Y/ q4 P! N8 G
Newman-Keuls method, q检验
' N2 H" `; d: X0 mNK method, q检验6 X& }' L; n4 g
No statistical significance, 无统计意义( w5 S8 O' }9 g( J4 u1 r- o
Nominal variable, 名义变量
* M2 _6 K1 M) D) L; I; ?6 z- R. S0 XNonconstancy of variability, 变异的非定常性) g- a$ x; _. O% z( l
Nonlinear regression, 非线性相关8 F" r$ X& a8 _" ], j
Nonparametric statistics, 非参数统计- I: G3 a1 a- V0 A/ {) T
Nonparametric test, 非参数检验3 _7 I } `6 B7 p% k2 ^$ w
Nonparametric tests, 非参数检验
- {9 }5 ?( Z1 Y9 N$ e& zNormal deviate, 正态离差; f# S9 `% k6 I9 W: I
Normal distribution, 正态分布3 ^/ l$ P0 h8 r: L
Normal equation, 正规方程组
/ v5 R3 {% v2 j( JNormal ranges, 正常范围; w* n( J! M1 b) i0 q1 u
Normal value, 正常值
( g7 \3 Y: {0 k: P9 a rNuisance parameter, 多余参数/讨厌参数; w! O& {* r* J, N
Null hypothesis, 无效假设
9 V+ x* [/ o) B- {Numerical variable, 数值变量
+ n8 f" E$ F0 [) t$ e$ `+ |/ PObjective function, 目标函数
4 {5 w8 F$ K3 S8 [ `6 x8 _Observation unit, 观察单位* g+ ?0 N# p; m/ s# {9 }
Observed value, 观察值* {: l7 j/ O* {& W# D
One sided test, 单侧检验
- ^ S' \7 |; T1 k# m% YOne-way analysis of variance, 单因素方差分析, Y2 {* d4 N5 I5 X C0 r
Oneway ANOVA , 单因素方差分析
, x, V- F* P9 v2 `& q% N0 COpen sequential trial, 开放型序贯设计
( v) A# p: i) g& u gOptrim, 优切尾+ N) ]0 V* \, [6 \9 Q
Optrim efficiency, 优切尾效率& J) ?8 u' p% k: N, e" ?( u
Order statistics, 顺序统计量9 }0 x7 T6 M. ]2 X
Ordered categories, 有序分类' }% |% k- @: n% z- [8 k# ?
Ordinal logistic regression , 序数逻辑斯蒂回归0 w8 i/ e+ m/ `3 V& D8 A$ f
Ordinal variable, 有序变量
5 }' h! m" g) M3 ]: ?0 g" {6 mOrthogonal basis, 正交基. ?0 q6 j: N" ?# f* T7 g [) A
Orthogonal design, 正交试验设计% k) Y( O) o5 ?9 y. l
Orthogonality conditions, 正交条件' W/ o; y! w" |& r, S
ORTHOPLAN, 正交设计 7 P$ J3 o: W M* d4 g- T
Outlier cutoffs, 离群值截断点& a# m! n* ?8 [4 P. P1 u
Outliers, 极端值
5 a. F1 W! `( _# p( eOVERALS , 多组变量的非线性正规相关
, ^1 I6 D9 D# D2 U7 \' NOvershoot, 迭代过度
m0 {' `$ @1 ?! x' U" O8 dPaired design, 配对设计, K/ K# p6 L. E( V" M' P# A6 U
Paired sample, 配对样本) O/ J+ G2 \) [
Pairwise slopes, 成对斜率. f$ A7 D, t. d z0 {
Parabola, 抛物线% o. Z5 n2 q }, ^
Parallel tests, 平行试验5 T v# X; B& O8 Q
Parameter, 参数
2 ? |& A, P0 H2 b/ |; k$ wParametric statistics, 参数统计- g9 X: o8 e0 U3 L9 E1 L
Parametric test, 参数检验
. j. b: `& N j/ WPartial correlation, 偏相关
" f. k- v( K t) }Partial regression, 偏回归
! I1 X: t0 ^- S* a3 Y+ N- I' N' ^Partial sorting, 偏排序
9 s, {7 d' [1 J* P* {3 VPartials residuals, 偏残差0 H' B! F! ~) W) I$ O( F; s0 g
Pattern, 模式0 ?: C' K* z/ [2 ]8 k
Pearson curves, 皮尔逊曲线
8 z( q0 o4 ~" a7 g BPeeling, 退层/ ^% R; D8 L# G, r8 k( Y& O
Percent bar graph, 百分条形图
$ ?4 v0 T; M6 L- R/ X# E8 @* |/ kPercentage, 百分比/ U7 F' O. T0 |! W9 e+ s \+ H# Y
Percentile, 百分位数
$ ^ m* z/ V( m9 _Percentile curves, 百分位曲线# y/ R9 D0 H0 D/ `6 d# X2 F( W
Periodicity, 周期性% P2 O. p3 s8 e6 l" D
Permutation, 排列6 v) c2 R1 Y* q3 b7 V# |; o# Q d
P-estimator, P估计量
& k* d! u) ?( [/ SPie graph, 饼图
2 M7 E! i: C) j6 wPitman estimator, 皮特曼估计量
" }* _ }* F" Z/ y, m( ZPivot, 枢轴量. H# P* f. j) L. @9 C
Planar, 平坦; p" b" G D; ^3 x6 J
Planar assumption, 平面的假设1 c5 S* m5 @8 a2 I, i9 \4 o
PLANCARDS, 生成试验的计划卡) t/ g+ O! e. \" Z1 n: C
Point estimation, 点估计/ v" N/ k, p7 Z
Poisson distribution, 泊松分布; S# @0 [6 m- y7 Z4 d" r
Polishing, 平滑
* R$ v: ~7 \) _$ I; z9 n% iPolled standard deviation, 合并标准差" q) h. t& W7 E# _7 P2 D# |8 ]
Polled variance, 合并方差7 E. |& H0 @: @3 ]& H
Polygon, 多边图1 T5 _# b: v: ?+ ]2 k
Polynomial, 多项式
% N) R- G! S3 K6 z' @Polynomial curve, 多项式曲线' r. f% y0 ?, O
Population, 总体 U: s7 I+ ?' J+ {: T
Population attributable risk, 人群归因危险度. [) Q6 }: h' J3 f6 J2 I
Positive correlation, 正相关& G/ C, G5 D, |0 V5 ^7 H- Y3 s7 P
Positively skewed, 正偏- f& H' \% E# b; ~
Posterior distribution, 后验分布7 i2 y2 B) j6 p; B
Power of a test, 检验效能/ V$ f4 [7 R$ r/ F% P
Precision, 精密度. }) D) T# `) r7 y9 l! p3 ]
Predicted value, 预测值. _8 A* F% `3 T: J) A( a
Preliminary analysis, 预备性分析# b1 D& k1 c1 ~# K1 I
Principal component analysis, 主成分分析
~! H: m+ j0 x" G- e- MPrior distribution, 先验分布) b; B+ i6 S7 D0 u6 u
Prior probability, 先验概率- V W/ n9 c( O7 K
Probabilistic model, 概率模型! V8 d/ }! F3 d/ ], `# T+ i
probability, 概率
0 |2 g( ^1 V4 {Probability density, 概率密度- B! B+ k) ]- N* Y) B4 T
Product moment, 乘积矩/协方差
8 m& J4 T5 y# U' VProfile trace, 截面迹图
- [ _/ W0 G) {/ v( W6 n$ s2 ?+ oProportion, 比/构成比
2 L: G. h& c$ r# Z3 i. GProportion allocation in stratified random sampling, 按比例分层随机抽样
3 B+ I( M p0 F+ DProportionate, 成比例
2 u% @' ^; @" @Proportionate sub-class numbers, 成比例次级组含量
7 V- F4 c+ [9 Y8 l2 y# C8 m1 N! \/ RProspective study, 前瞻性调查1 M$ u3 O$ I5 @+ n( z8 e! H5 l
Proximities, 亲近性
0 d' @% T3 O6 W) ~. i0 gPseudo F test, 近似F检验
# j$ H' c3 t- W+ R) `' FPseudo model, 近似模型
0 [, e. ]5 y: a3 F5 ?" }# f2 _9 MPseudosigma, 伪标准差- H& W" }9 J3 m3 J" Y: S
Purposive sampling, 有目的抽样0 @* R; R' U! U$ Z2 M4 f# Y2 J+ W) S
QR decomposition, QR分解/ B$ e( u9 R* N5 S$ O( N# H
Quadratic approximation, 二次近似' j/ U4 b& I: x! h
Qualitative classification, 属性分类- ^1 w6 ]" O2 D0 U
Qualitative method, 定性方法9 q$ Q' `8 [/ ]& Z
Quantile-quantile plot, 分位数-分位数图/Q-Q图
3 C3 L1 G3 Y, KQuantitative analysis, 定量分析
2 @' p# V& ~- B, L# [Quartile, 四分位数# x* t' l W5 d/ z& b5 k
Quick Cluster, 快速聚类
5 ]* g" q; e$ Z& b0 yRadix sort, 基数排序1 q: y2 n$ U. u j2 Q1 P
Random allocation, 随机化分组7 h8 I% }! ]; S
Random blocks design, 随机区组设计
0 v2 W. g: i4 aRandom event, 随机事件
& g* d6 _3 a! a, p. f# NRandomization, 随机化* y& H$ D: W% U- t5 r
Range, 极差/全距4 G' Z, x! e9 E. H
Rank correlation, 等级相关6 V( l( s; x' [+ k$ d, q1 l
Rank sum test, 秩和检验) l3 E) x# Q$ S. ^/ p
Rank test, 秩检验
/ T2 p: Z- b0 I( B O6 Q7 CRanked data, 等级资料
, I$ Y" E, c" M) a+ c9 i& @Rate, 比率
- K7 f, C, ]' d5 }" HRatio, 比例
8 t8 r5 c) u. G# x+ ]9 VRaw data, 原始资料5 D# p8 d9 y( Y, T- |* L
Raw residual, 原始残差
) V* o7 n' Q ~Rayleigh's test, 雷氏检验+ r7 E4 t9 I2 y# N3 j# w b& f
Rayleigh's Z, 雷氏Z值 / f- Y( `4 u4 X1 y
Reciprocal, 倒数
! U" t, ]8 d7 ?3 U0 X ZReciprocal transformation, 倒数变换; ?5 {0 z1 U8 H7 h
Recording, 记录& {; b Y! c% B4 d2 t& M
Redescending estimators, 回降估计量3 f9 a6 H! f) ?) a' H4 K
Reducing dimensions, 降维
% g$ |4 M( u. H8 ORe-expression, 重新表达
& T& J# t+ }! Y' f& h0 f$ JReference set, 标准组
1 J; ?9 c ~1 I/ t5 ~: CRegion of acceptance, 接受域
. K K* ]/ N5 U$ J) ^& DRegression coefficient, 回归系数) s: A( Z8 Y! B9 x
Regression sum of square, 回归平方和
0 L( m9 u) h: [5 Q' W2 w' N4 uRejection point, 拒绝点
* o, l% h4 n8 o" ?( O! k2 ]; M1 ~Relative dispersion, 相对离散度
$ {3 f2 j3 L0 G7 L' G3 VRelative number, 相对数) Z7 i2 [' H, d' }7 x
Reliability, 可靠性
" K2 u! J; [# i5 @# \$ x1 t$ UReparametrization, 重新设置参数$ ]# J( w" K7 p; ?! v8 H, c! y
Replication, 重复
% u; ~8 B! {7 w b6 _0 dReport Summaries, 报告摘要
( o& N( K+ g% K( P5 ]( a; L: W8 IResidual sum of square, 剩余平方和9 I' V+ O9 \1 I/ n$ u
Resistance, 耐抗性
( W2 O/ F* }- P7 d! RResistant line, 耐抗线4 V. y+ A0 F; q/ p% O6 M4 w/ ]
Resistant technique, 耐抗技术: _+ F H) `9 s; E
R-estimator of location, 位置R估计量
; d5 s1 J6 D! d) B; uR-estimator of scale, 尺度R估计量+ m5 i# ^( S9 b) h9 r4 k9 c3 W
Retrospective study, 回顾性调查
/ L9 l0 C |' a7 j2 h" X5 ?Ridge trace, 岭迹
/ [$ J, P" V% N; b# }0 {Ridit analysis, Ridit分析
; @- g% n% h' GRotation, 旋转
) N o6 W: s" C5 I1 {: kRounding, 舍入
6 r2 C; u- \ Q, ]+ u; h$ g: a& `Row, 行
' `4 e& G: S7 ZRow effects, 行效应9 Q' u$ m, c3 m) E, G: A1 G" T
Row factor, 行因素
$ P4 N; R, z$ {7 `$ [RXC table, RXC表& }0 z, T! T2 n1 H+ c6 x
Sample, 样本# P1 Z+ q! Q# Y" A. m% s5 x& e" Z* w' W
Sample regression coefficient, 样本回归系数* b# e* R6 c1 g- D1 t# }) I
Sample size, 样本量
2 Z1 M) g5 i# N& f9 R# o" YSample standard deviation, 样本标准差
1 y* a) q3 q t& J% S H/ J. MSampling error, 抽样误差
& I1 X( f3 O! R0 gSAS(Statistical analysis system ), SAS统计软件包: d5 d) u# k# j3 B8 y9 x
Scale, 尺度/量表9 o5 n8 u+ N s' t3 D
Scatter diagram, 散点图; a7 H# R% G) X4 y3 L4 T0 ?
Schematic plot, 示意图/简图$ M2 S1 `) A$ l( d# |& }; A& T
Score test, 计分检验
* q2 U& K4 K8 k8 k: m$ U6 `Screening, 筛检
; h. Z* H2 q$ q: c$ {SEASON, 季节分析
0 X: K+ |1 }. ~" a( |, s7 o* LSecond derivative, 二阶导数
9 _4 K- R% o+ Z) y# n5 u$ B4 o5 LSecond principal component, 第二主成分7 R( C1 z. {$ s/ z# ^$ J0 U. a4 I' O
SEM (Structural equation modeling), 结构化方程模型
' i- z4 K& q% n1 m r) Q3 {; L! zSemi-logarithmic graph, 半对数图4 H, U, i, d7 s9 x, C! V
Semi-logarithmic paper, 半对数格纸
! F. q9 I- ]& RSensitivity curve, 敏感度曲线
: @. `7 o' q' p2 T% [2 j- N, C% XSequential analysis, 贯序分析* d1 @* V) V; _( W' O6 o
Sequential data set, 顺序数据集
) m/ B B A6 H" K0 P/ a- uSequential design, 贯序设计" g/ A) U, j6 U y2 N$ N
Sequential method, 贯序法) [( \' \0 U' H( p' ~: y
Sequential test, 贯序检验法* V$ T! \& ~& R9 U7 y
Serial tests, 系列试验) w* ~4 h& x. F( t7 o6 Z$ J
Short-cut method, 简捷法
% W% H* y+ D8 u4 p2 M4 VSigmoid curve, S形曲线* \5 C8 M& z T+ c) z
Sign function, 正负号函数
+ M. s4 k( D4 w) `' ]+ |Sign test, 符号检验4 h4 H! E J a# ^, U4 S
Signed rank, 符号秩; ] C; E/ L" W" C4 E
Significance test, 显著性检验
: F$ V. d' Q" J0 e2 A, gSignificant figure, 有效数字( w' I& ?6 q4 o& I
Simple cluster sampling, 简单整群抽样
9 s. l2 b% [5 \& r, c+ ySimple correlation, 简单相关
+ j( w, e3 p* d, }Simple random sampling, 简单随机抽样! H; ~2 `& W; U' S: P, B& ]
Simple regression, 简单回归
' v! P/ f2 r9 o$ a9 \: z7 |+ [7 b1 X& zsimple table, 简单表7 @* y+ M" H# e0 f8 w* `0 ]
Sine estimator, 正弦估计量3 X" M P& _- Q( h* x$ \. w
Single-valued estimate, 单值估计8 V4 D, ]% ~3 n1 R$ i/ ?
Singular matrix, 奇异矩阵1 q6 U+ @3 ]5 w( s: n, j1 u% H3 }
Skewed distribution, 偏斜分布+ V/ n/ n( V% @! {. v) [) k9 S
Skewness, 偏度2 I' L5 A. g% o, E
Slash distribution, 斜线分布
- K; j; E+ q) F1 w& WSlope, 斜率
4 l$ C" `# v3 iSmirnov test, 斯米尔诺夫检验9 S7 }/ T; y. `, G
Source of variation, 变异来源1 r9 F$ {( m+ q* O
Spearman rank correlation, 斯皮尔曼等级相关
+ ~. v; |0 Y0 p: {+ B& tSpecific factor, 特殊因子: S; x# j3 R. ?, E1 L3 m6 q
Specific factor variance, 特殊因子方差
9 s- D* g- H+ X8 C3 I( T4 a6 h5 U0 xSpectra , 频谱
. V8 o, l/ H2 K- {Spherical distribution, 球型正态分布
7 v. [/ @: t: T4 P8 oSpread, 展布
) h* {% g2 Z' z- PSPSS(Statistical package for the social science), SPSS统计软件包; U4 t/ _5 m- I r6 p8 D
Spurious correlation, 假性相关
) M4 \8 K; Q5 ?, N2 j8 W7 ~Square root transformation, 平方根变换9 s9 k3 ]2 V$ ]+ N
Stabilizing variance, 稳定方差
5 `6 w7 [3 E* ~, @Standard deviation, 标准差+ O" f- w; W# W J: C2 I
Standard error, 标准误
1 [- g# [ Y8 W* C* S0 EStandard error of difference, 差别的标准误
! X4 l, a- P& U- Y( j" TStandard error of estimate, 标准估计误差* E, c" E j/ q! K
Standard error of rate, 率的标准误, |: }: W0 O8 {4 ~# Q# N
Standard normal distribution, 标准正态分布, S- G# q, _& f/ C- P' B7 A1 W8 S
Standardization, 标准化. Z0 i0 B, @2 r+ {3 z3 Y
Starting value, 起始值4 O4 M0 `( G0 R+ J) X
Statistic, 统计量8 M3 J" J7 E6 [0 L" f6 B
Statistical control, 统计控制9 b- z* v5 i/ v3 y' \2 ^# p, W1 S
Statistical graph, 统计图4 x3 ~$ V# g, f( M& M
Statistical inference, 统计推断4 B5 A7 e" [1 L2 Q: M( V
Statistical table, 统计表
2 ^% H+ X u- Y9 |' O% @4 y7 WSteepest descent, 最速下降法* _" e' R. |8 G
Stem and leaf display, 茎叶图3 O# ]9 L+ v+ _$ K3 a; f7 P6 l
Step factor, 步长因子3 ~' ^8 v2 v! q4 r
Stepwise regression, 逐步回归' u4 F0 P. \/ D2 G
Storage, 存4 T j. _/ I( y% Q. j4 [5 I/ Z l* ]
Strata, 层(复数)- R5 l. _* R; o9 K0 a5 P0 o# Q
Stratified sampling, 分层抽样
: H0 { A# k h" r: bStratified sampling, 分层抽样
4 ~2 e* V& X9 I6 o" LStrength, 强度
2 P: K) x4 E& ]* c3 ^: t" GStringency, 严密性
: m9 q0 p0 R. \% m8 f; sStructural relationship, 结构关系+ C6 D: K0 |7 b# G5 s3 o
Studentized residual, 学生化残差/t化残差
0 R& a: E K/ n& u! h" f( `Sub-class numbers, 次级组含量5 [, f& ]( q% r% O% q8 R: ^
Subdividing, 分割% v5 j. B5 d; l$ k% ?+ N
Sufficient statistic, 充分统计量1 V# u& _4 ] r7 G- u( b( ^2 I
Sum of products, 积和
) X1 ]& r' d& R( rSum of squares, 离差平方和
3 y# s# Q" m, [: T1 `Sum of squares about regression, 回归平方和* K7 I1 Q( J3 b$ l
Sum of squares between groups, 组间平方和( l e& a. \# z' N" A9 O6 V
Sum of squares of partial regression, 偏回归平方和4 l# G0 A! `; s& M( f) c% f
Sure event, 必然事件& A+ j, M; f. O! K/ w: i, ?
Survey, 调查
. _4 ^( Q6 V& I- X; }Survival, 生存分析8 i9 G& ]' o ]/ D( x" a9 {7 M
Survival rate, 生存率9 a4 a L! V. m6 F1 T
Suspended root gram, 悬吊根图4 Y+ m7 ]! a! O1 s. u
Symmetry, 对称
5 _+ G/ K& e3 f6 w* lSystematic error, 系统误差
8 p/ x( y0 K/ a$ T8 A2 KSystematic sampling, 系统抽样: t/ C/ n2 i" R
Tags, 标签
( q/ w! ]( ~/ Y# fTail area, 尾部面积; {/ T( q; E! s# Y
Tail length, 尾长
* h: I# U/ {( g& s* q0 pTail weight, 尾重
$ P6 S7 R9 @1 R1 F4 xTangent line, 切线
+ d( O( @' j! }9 d8 z3 CTarget distribution, 目标分布
* w4 `1 z# k8 y' l; M8 V7 q0 xTaylor series, 泰勒级数+ w3 c. o: ]# S- s5 R2 e
Tendency of dispersion, 离散趋势
2 D- U! D8 j& ]. u! G4 L& ATesting of hypotheses, 假设检验8 M9 {3 q# F% v8 p: o
Theoretical frequency, 理论频数$ f) M, X( G- e! g# ^' Z
Time series, 时间序列& e2 p3 j: B3 m+ y$ n# D
Tolerance interval, 容忍区间
, ^2 a# \$ m. ]Tolerance lower limit, 容忍下限
3 D: h: O0 n7 zTolerance upper limit, 容忍上限* e0 l. e# S/ M
Torsion, 扰率
& @/ n- Z. w9 Y. ETotal sum of square, 总平方和
5 r2 M; {; V) {# b0 vTotal variation, 总变异
5 L& T; \6 |7 bTransformation, 转换) ?4 ^% x- D e4 T9 Y9 g
Treatment, 处理
% K( X% O/ p) i+ T; k( V# N. Q" {7 zTrend, 趋势8 e: D1 i: y- n7 p% v
Trend of percentage, 百分比趋势
( \! E' ?% |3 e" a$ O. XTrial, 试验3 I; l) ^) D D! s- F
Trial and error method, 试错法# @; Q$ H. w. Q5 W% ]
Tuning constant, 细调常数
3 q& Z/ Q V5 S5 C2 kTwo sided test, 双向检验9 r/ S9 S: F, ?, E" A8 ~$ f
Two-stage least squares, 二阶最小平方; f% C H5 J+ Y( h4 _ J
Two-stage sampling, 二阶段抽样
$ b: i0 Z4 H9 P: n [Two-tailed test, 双侧检验" [9 U9 t$ I; \) h9 w
Two-way analysis of variance, 双因素方差分析. H/ S4 r- Y, k( a' F5 c, d$ w1 Y
Two-way table, 双向表& z! X( |& W( ?7 S
Type I error, 一类错误/α错误' X2 L5 n1 T, Z# a
Type II error, 二类错误/β错误: ~3 N( ^. I4 f0 n
UMVU, 方差一致最小无偏估计简称; Q5 N% a; z9 G' d4 f n
Unbiased estimate, 无偏估计
% X/ t0 d: D* L- {* fUnconstrained nonlinear regression , 无约束非线性回归
. |, p, r* f* D, V- |1 O* KUnequal subclass number, 不等次级组含量6 \' P3 Q1 d: w# [& M
Ungrouped data, 不分组资料
1 E5 T5 C6 _4 h6 u5 p1 W' ^Uniform coordinate, 均匀坐标
& M/ n/ @% w: E& h0 U1 pUniform distribution, 均匀分布
0 J; U7 o4 b* QUniformly minimum variance unbiased estimate, 方差一致最小无偏估计
( E' l7 p7 b N( N1 sUnit, 单元! O a+ x, s. r* M0 s# g
Unordered categories, 无序分类 _6 e+ e* B% ]; Z; {1 B5 D
Upper limit, 上限2 k5 Y6 j+ |% ^
Upward rank, 升秩$ c+ y4 V/ y7 S3 W% y
Vague concept, 模糊概念
& _) a3 T3 J- m2 ]Validity, 有效性
/ [; y5 r' v9 \, m- O, ?* MVARCOMP (Variance component estimation), 方差元素估计
) M/ W. t f9 Q; e6 iVariability, 变异性
5 Q6 l: P% P# T# I% d2 `Variable, 变量( `; m3 y* R& M3 D
Variance, 方差! K- m& I) W9 Q" K+ d
Variation, 变异) m. r0 R- m/ q/ p7 i) e5 {) h
Varimax orthogonal rotation, 方差最大正交旋转
% S' Z+ L8 E5 @# h( I& I; PVolume of distribution, 容积# u5 I/ M* |8 ]( s2 M o
W test, W检验) r" m% Z2 [- D8 L' d+ g5 I, k
Weibull distribution, 威布尔分布
" O; e6 I3 H0 ?' D1 q$ PWeight, 权数
4 G! u9 W: _# X3 |0 W3 b3 XWeighted Chi-square test, 加权卡方检验/Cochran检验+ g$ M) e% p- E' Z, w
Weighted linear regression method, 加权直线回归
/ b" E8 ?2 h( k( H! s/ jWeighted mean, 加权平均数
# U/ x9 m2 a/ S$ Q. h; E0 H* U2 VWeighted mean square, 加权平均方差
' w" e! E6 D" `, `/ |9 w% |3 VWeighted sum of square, 加权平方和
# Z) i/ U5 s0 g3 {! P1 J, _Weighting coefficient, 权重系数
' O6 s( u9 z+ C U! s; ?Weighting method, 加权法
" Z) h* v9 K# ^6 A! [, [W-estimation, W估计量
1 A7 E) n$ I6 A. g& \8 hW-estimation of location, 位置W估计量
3 z' U5 @4 p! ?# Z3 pWidth, 宽度
8 Y# B! q# [% b8 aWilcoxon paired test, 威斯康星配对法/配对符号秩和检验
+ g0 A% h, f. |* k# L7 XWild point, 野点/狂点# F( l* Y9 \& @0 p1 ]! x) o
Wild value, 野值/狂值/ s3 Y0 o; r% f+ J t5 U3 Q3 }; y4 i
Winsorized mean, 缩尾均值& h4 B* z- c; M( x* k& D: u
Withdraw, 失访 6 K: a5 X! `8 x
Youden's index, 尤登指数
, t# p w+ T3 ?; _7 dZ test, Z检验
! f5 W& ~. \0 ?6 l- lZero correlation, 零相关
' Q2 b1 R7 x; P A" `: n/ |Z-transformation, Z变换 |
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