|
|
Absolute deviation, 绝对离差* X5 q0 S. ^6 v ]' ^1 H
Absolute number, 绝对数
- s# {, t( A, O; ~* wAbsolute residuals, 绝对残差; ~, ], {/ |+ n; X% L& G* B; t- X
Acceleration array, 加速度立体阵* V: x; x9 r0 u" K0 R
Acceleration in an arbitrary direction, 任意方向上的加速度
1 `. D) {9 s4 Z0 g9 ?5 q( C* aAcceleration normal, 法向加速度
7 g% v' l# m4 zAcceleration space dimension, 加速度空间的维数5 V3 H; o6 q. B' ~
Acceleration tangential, 切向加速度
% @ v) d: x" s" T+ e% iAcceleration vector, 加速度向量
7 f8 s; m c+ O7 B, yAcceptable hypothesis, 可接受假设. M) v5 s) S! [
Accumulation, 累积2 Q( J9 Z1 U3 E
Accuracy, 准确度
$ {- m% x, X& pActual frequency, 实际频数$ q6 R& ?9 C3 A+ I5 g
Adaptive estimator, 自适应估计量" `* C* X5 B: w* ?/ N# y }3 B
Addition, 相加
+ Q+ A% r; d5 |8 oAddition theorem, 加法定理
( x: K: }0 a0 h& D7 e) \3 a/ PAdditivity, 可加性
) J [5 b+ ]/ u# O; W: zAdjusted rate, 调整率
4 U% e% J! w# Q6 n% h8 nAdjusted value, 校正值
4 F. f% d5 i0 M. |) ~. q/ S1 iAdmissible error, 容许误差
( q B) ~8 ^3 n; I/ |3 oAggregation, 聚集性
( p7 z5 |- l; k. mAlternative hypothesis, 备择假设3 j c# }- y. Q$ V! N) e! F1 V# P, p
Among groups, 组间
* P: T0 O4 N5 r1 Q( j. X7 _Amounts, 总量
6 ^0 h d2 H8 |2 S) bAnalysis of correlation, 相关分析
/ g, V, K- a! [& D6 G6 @5 G' jAnalysis of covariance, 协方差分析
- c# ?* B5 |2 W2 g4 }% {Analysis of regression, 回归分析
- C$ p0 b6 _0 ?2 e) m8 SAnalysis of time series, 时间序列分析" r. u V0 j0 E9 a# I6 H7 B' L
Analysis of variance, 方差分析
) \4 Q) \9 S/ ?Angular transformation, 角转换
8 i$ L8 d& X" f" t/ P8 v# oANOVA （analysis of variance）, 方差分析5 V8 y' o3 X$ ~- R/ j% D/ A
ANOVA Models, 方差分析模型
, L9 y( `) l. r) P7 W$ m8 H; TArcing, 弧/弧旋
0 l8 e2 R' G9 k, D7 h7 d' MArcsine transformation, 反正弦变换
9 a3 x" u; ]9 ^! \Area under the curve, 曲线面积5 ]+ m$ Q9 b: g; i" h
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
# Q, Z! G4 {8 m. N0 j; A' y1 ZARIMA, 季节和非季节性单变量模型的极大似然估计 " D1 b8 h6 \! u9 s; X4 J# a; h1 H
Arithmetic grid paper, 算术格纸/ @7 i) H: ], t Y
Arithmetic mean, 算术平均数
u) `) s; T6 r9 [Arrhenius relation, 艾恩尼斯关系/ N+ l w% W3 D, V* R( I
Assessing fit, 拟合的评估* v8 }2 r3 t D, c, U% L U# D
Associative laws, 结合律
/ D1 h: u- O3 ?& S" l3 ]Asymmetric distribution, 非对称分布/ J+ B# D; `3 C$ _& a
Asymptotic bias, 渐近偏倚6 O& ]# `+ m$ e9 F/ T/ A
Asymptotic efficiency, 渐近效率. X. {9 |- P; u" \
Asymptotic variance, 渐近方差, `! ?% B2 j* a; h) c. N- X
Attributable risk, 归因危险度
* W; d M: k2 Y4 k6 f( u; f/ e% EAttribute data, 属性资料7 ^( D( K. g. V# L1 U8 Q2 E
Attribution, 属性$ j6 u6 `4 [! C$ D
Autocorrelation, 自相关
# x" D! G3 ]9 n% FAutocorrelation of residuals, 残差的自相关
# {; q- n) w& QAverage, 平均数0 I$ d5 s0 I' N! e: l
Average confidence interval length, 平均置信区间长度3 f3 X2 w+ |( }( f/ ?1 D8 j: m
Average growth rate, 平均增长率+ @/ r8 v5 N$ \% G" D1 n- x
Bar chart, 条形图
z+ Y' Y% C1 A7 b2 K: dBar graph, 条形图) a: ~% D* p* F4 |
Base period, 基期- L2 {7 C+ k$ }
Bayes' theorem , Bayes定理
+ y% Z. _: D- W- s! h% i5 XBell-shaped curve, 钟形曲线
+ i$ T1 N' \! J, KBernoulli distribution, 伯努力分布
6 ^; q, V# t& ]Best-trim estimator, 最好切尾估计量
7 U, ` I4 [( q# ?5 e: ]( aBias, 偏性
! V' I( B, h3 k. cBinary logistic regression, 二元逻辑斯蒂回归
) {# {. i4 t! f8 qBinomial distribution, 二项分布
; u9 n/ Y& @: ~$ A* _Bisquare, 双平方
: h( [$ v7 t% M' U% k/ QBivariate Correlate, 二变量相关
6 t/ N: Y, n- R6 k' _8 tBivariate normal distribution, 双变量正态分布
- ~2 e. F3 k0 b# t5 v! YBivariate normal population, 双变量正态总体! }; A" z2 ], l' ^8 z# J3 t
Biweight interval, 双权区间
- Z2 T) z& S$ y0 |, i' X# [' i. i6 iBiweight M-estimator, 双权M估计量
2 B L# ]. |: P; u+ O; l) DBlock, 区组/配伍组 H( G, H k' l9 d6 m! U
BMDP(Biomedical computer programs), BMDP统计软件包
' N4 A1 W1 N: ~' ?& \+ d* U# OBoxplots, 箱线图/箱尾图
. W% ?. a1 s. W, j. fBreakdown bound, 崩溃界/崩溃点* Q! l7 l3 m9 J& y; q
Canonical correlation, 典型相关. q2 v7 b" R! q- K- }
Caption, 纵标目
6 I7 s5 ^5 A s1 r4 `. v7 x9 XCase-control study, 病例对照研究
# s; E7 e: N+ D0 g9 OCategorical variable, 分类变量
7 U7 t; @+ o5 ? O5 J$ A3 ]Catenary, 悬链线1 a/ m* E! y" q f; J. ?
Cauchy distribution, 柯西分布. O$ D' v4 K5 o3 s
Cause-and-effect relationship, 因果关系
+ R. U+ S8 K8 f& U9 ECell, 单元0 }" X6 s1 ~9 R3 f" {% w- W) B
Censoring, 终检2 C! f' y v4 I% Q8 B
Center of symmetry, 对称中心% d, G3 a5 T* g* F/ T. g; M1 J& C
Centering and scaling, 中心化和定标
! R, O0 T" H% L) qCentral tendency, 集中趋势
4 w' v" ^# [8 J3 c4 c. r) L4 dCentral value, 中心值+ @& [' ]* O2 z) @, y! |
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测' v& o9 P$ \9 B/ l
Chance, 机遇
( C( o! M5 ^. X) T9 n* t: x4 m( nChance error, 随机误差
) J+ p0 u$ w, }# w( Q8 LChance variable, 随机变量
! ~$ W3 I( H8 Y, N. m4 G3 ACharacteristic equation, 特征方程
6 a% ~/ P: G7 L: B; i2 v$ T1 aCharacteristic root, 特征根. b$ ]+ k3 ~" n3 l7 H0 }; |
Characteristic vector, 特征向量/ }. s3 y$ I2 b( ^+ y
Chebshev criterion of fit, 拟合的切比雪夫准则
7 s7 ]& c! g8 ]1 Y& e4 Q: cChernoff faces, 切尔诺夫脸谱图0 _4 Y9 j& K8 k
Chi-square test, 卡方检验/χ2检验
1 b# U& n/ @9 i; m9 T$ z: uCholeskey decomposition, 乔洛斯基分解
. |1 Z/ \7 d3 G6 qCircle chart, 圆图
L; L7 m. ^( Q6 _( |Class interval, 组距
3 ~9 z3 u; ]5 @4 X( `Class mid-value, 组中值
, v g7 s1 c5 a0 ? {( v0 LClass upper limit, 组上限
+ `" `2 d9 P* I( d$ K/ L* x/ c( JClassified variable, 分类变量2 F. \& n! f- Z+ d7 _" p
Cluster analysis, 聚类分析
6 A6 |! J( I. U6 F* bCluster sampling, 整群抽样8 y |! J Y3 o, s; C
Code, 代码/ J- ]# i, e' z7 H7 E2 @
Coded data, 编码数据
/ p5 ]( k7 l5 p6 o$ Q6 z& ECoding, 编码: i& u$ _- l: s7 D
Coefficient of contingency, 列联系数0 j$ `! k8 F- G) i E2 C
Coefficient of determination, 决定系数
4 x+ M a- @4 g' B7 f/ \Coefficient of multiple correlation, 多重相关系数
: N. e* o% F- b/ UCoefficient of partial correlation, 偏相关系数1 b) q2 ]! H: T6 P8 h0 j& V
Coefficient of production-moment correlation, 积差相关系数" Y; M& q) ]2 p4 m- X
Coefficient of rank correlation, 等级相关系数. U% n- A+ g7 L. j, _+ n
Coefficient of regression, 回归系数5 Q4 L+ u* P% v# }8 Q
Coefficient of skewness, 偏度系数 B( c0 s* r4 v! A# W' z2 H. `: o
Coefficient of variation, 变异系数+ r0 M( w) |; V( q W& w. H
Cohort study, 队列研究
5 a0 I, _6 H/ J2 y/ OColumn, 列# p0 `/ Q* s! `" a4 E
Column effect, 列效应
3 C7 O% P, r/ D! ?2 EColumn factor, 列因素7 \2 ^& ?5 j; C8 i
Combination pool, 合并) P- g" \ m! q+ S% @9 c
Combinative table, 组合表* b6 i" n/ y2 Y$ @$ U8 T
Common factor, 共性因子0 z% l0 d# E* A' r) A
Common regression coefficient, 公共回归系数
/ {4 r# O& T4 h% cCommon value, 共同值
% L _* V/ \+ o3 U* J: k. L, LCommon variance, 公共方差6 _- o) O4 U$ \) Z, p9 n& n3 V
Common variation, 公共变异
: h. z2 ~& q" I& T( j7 C SCommunality variance, 共性方差
4 q( Q7 A. J0 f/ f: n0 |5 i) w6 }Comparability, 可比性) T+ C3 y2 O% T9 R5 l7 B
Comparison of bathes, 批比较; _. n) D7 K1 K) Q9 |' W
Comparison value, 比较值
4 `$ e4 H! C9 ~9 U6 R: t& m. |5 ~. B9 tCompartment model, 分部模型/ l- t( t- X3 _
Compassion, 伸缩4 V `7 ? i# S$ [1 y
Complement of an event, 补事件
5 v" W" _* a' D/ K' o. Z4 \" RComplete association, 完全正相关
0 l- W9 s; [0 N3 IComplete dissociation, 完全不相关7 I1 [7 d$ Y3 h" }6 B
Complete statistics, 完备统计量: F! m, f3 F1 U6 V4 d$ O" H
Completely randomized design, 完全随机化设计 B/ y2 O$ }0 x
Composite event, 联合事件
+ c, U- N! t* P0 z9 UComposite events, 复合事件
4 |( l( I( i1 hConcavity, 凹性
$ o8 m' \/ ]# G+ [2 |Conditional expectation, 条件期望
* M- J9 Z6 F. E! LConditional likelihood, 条件似然
0 {! {: d% K0 c* f. ^* X" TConditional probability, 条件概率
+ p7 q" g2 j% U+ c4 H8 w- VConditionally linear, 依条件线性
: c/ @* Z5 z9 f4 w4 _" [: [2 k" YConfidence interval, 置信区间
0 z) M5 ~. L/ q7 s0 [Confidence limit, 置信限$ g9 w7 P; c9 M4 V3 ~% q# I
Confidence lower limit, 置信下限: z7 @. H5 J6 U# i3 [2 Z" t
Confidence upper limit, 置信上限
2 W4 i+ _9 w* q# e- d( qConfirmatory Factor Analysis , 验证性因子分析
; A- j( O/ y1 c. M) W4 i# @Confirmatory research, 证实性实验研究
6 \: m5 d( x6 Z6 E" NConfounding factor, 混杂因素 O" H2 E: H- [
Conjoint, 联合分析/ j" f$ k9 @3 I. s7 @. x6 s6 I% f
Consistency, 相合性
. l1 r/ E, y6 M' G. G7 }/ MConsistency check, 一致性检验
, M/ b5 u6 [' p _: S. ]Consistent asymptotically normal estimate, 相合渐近正态估计
# j: ^+ {. p! F/ ?- T& \; KConsistent estimate, 相合估计0 J# ]+ K) b4 W7 D
Constrained nonlinear regression, 受约束非线性回归0 [ }1 c9 W0 m/ C4 u f; F
Constraint, 约束
' s% t7 ?5 J2 n$ B+ S5 fContaminated distribution, 污染分布2 B9 E$ ~+ O' [ o+ ^
Contaminated Gausssian, 污染高斯分布1 p4 ~; c F" ?2 N. H( e/ {, o5 b6 m
Contaminated normal distribution, 污染正态分布
. ?3 `8 u+ {+ S: ]$ bContamination, 污染0 q7 V& E5 ^; ]
Contamination model, 污染模型
: B8 M* j% K4 f1 F9 R4 IContingency table, 列联表
( L6 O2 o f1 i9 l* d, \" iContour, 边界线( f9 x+ V! E# H7 ]
Contribution rate, 贡献率
* t& Z9 y8 A, b/ {! y, tControl, 对照# x" X. h. j6 Q( k
Controlled experiments, 对照实验
" d& S& O. t* C, XConventional depth, 常规深度* N* H3 s* `# A/ g
Convolution, 卷积
; p# S' H3 ]0 ^Corrected factor, 校正因子9 E n1 O; _% t) d( ?" ^5 `
Corrected mean, 校正均值- ~% }; ~+ n; c0 B6 A% s, B) [
Correction coefficient, 校正系数: ^# X+ q V, P7 q
Correctness, 正确性; p& h( ~! N* J. D% J" s0 R v, ?
Correlation coefficient, 相关系数
' ?* f0 N( z% w" H" f. a& WCorrelation index, 相关指数
* m. c7 K* g% z- c" i5 a: PCorrespondence, 对应
$ E0 L0 \7 y e5 M, u! ]2 e4 _ ZCounting, 计数
" P7 b; V+ u& n5 `" @9 dCounts, 计数/频数
" d+ G+ h" u$ d- m0 P* X UCovariance, 协方差. M+ |$ J" z. n/ ? M( I
Covariant, 共变
. o1 y* I. `) JCox Regression, Cox回归
) j! ^: k* x1 P: }1 PCriteria for fitting, 拟合准则
( Q J/ V" L. ^) }/ o P- RCriteria of least squares, 最小二乘准则9 O8 B+ L6 T" l
Critical ratio, 临界比2 ?; F' _% Z" Z- Q F* P. O, O" |
Critical region, 拒绝域. Z+ V* s8 m# f5 v( M
Critical value, 临界值# |, _+ C4 U# D' W# u4 n* p/ T$ m
Cross-over design, 交叉设计4 {1 g* g6 q8 p3 b
Cross-section analysis, 横断面分析# H# R" j1 C1 }5 d
Cross-section survey, 横断面调查
! z% X& s4 y: q; @0 \+ w: dCrosstabs , 交叉表 $ q3 Q$ E- M$ c
Cross-tabulation table, 复合表) f: B$ s' e; }9 \
Cube root, 立方根' Z2 n6 Y! N0 Z$ u- z. c# h
Cumulative distribution function, 分布函数
4 A) y" t' H1 S+ c2 B1 e. m% fCumulative probability, 累计概率
) a; D1 T/ T; u! E5 nCurvature, 曲率/弯曲+ K, Q5 ], F+ @- y5 F0 {% ~
Curvature, 曲率: {9 U2 n5 e: m, f3 |6 e3 K
Curve fit , 曲线拟和
- Z3 I# ?- V2 T) HCurve fitting, 曲线拟合
- e5 u% w9 o! H6 ]* |, \Curvilinear regression, 曲线回归
) ?+ N6 H9 i& W# A- hCurvilinear relation, 曲线关系/ K% i0 S) _5 X6 x
Cut-and-try method, 尝试法; d' I, E7 g3 y2 ^0 a
Cycle, 周期
2 e. ^4 q8 D6 q" nCyclist, 周期性
0 C* I3 p. T* I1 M1 {: n9 }6 U- B1 dD test, D检验$ h% k: j5 r$ \+ _
Data acquisition, 资料收集/ `; V7 t Q% U4 F, J7 `* ]. `
Data bank, 数据库: J9 k$ ]9 v4 v. g9 z% I- _
Data capacity, 数据容量% L( Z: x1 J6 @. B3 J. t8 X
Data deficiencies, 数据缺乏
, w$ p4 ~3 y& d) k% |Data handling, 数据处理% v! j8 K5 B( X1 q9 V) r+ c8 ]
Data manipulation, 数据处理
' |( T) I1 @! h$ }; T0 RData processing, 数据处理
$ ~, Z! u) N! b" JData reduction, 数据缩减+ p+ `) m1 D0 V& d: _
Data set, 数据集8 P9 m5 X- }4 P8 ?7 p% |4 G
Data sources, 数据来源
/ k: E4 H' n7 E" SData transformation, 数据变换8 l8 F% a6 L' B
Data validity, 数据有效性
# \( o. X3 \- L# _! w# dData-in, 数据输入
$ \# l/ E' }; E( P/ ]Data-out, 数据输出/ i2 H8 n; D( ~# |; Y. g! n
Dead time, 停滞期
0 q3 ?; C& p1 I3 ]6 N1 g; X/ nDegree of freedom, 自由度
Q3 q& l4 S- B; |Degree of precision, 精密度
; d# @; L, E8 eDegree of reliability, 可靠性程度9 g4 w# U: V% _6 h1 b* w" a
Degression, 递减
8 q# b* v+ m$ F/ ?: TDensity function, 密度函数
# ~) ]: {# k% G, l7 c3 F% C {Density of data points, 数据点的密度/ q# J& {/ D9 I0 t& D% t
Dependent variable, 应变量/依变量/因变量
4 b/ D4 c( J; A7 O! {Dependent variable, 因变量+ o7 S" i3 g" P0 V1 W, V) m M" p
Depth, 深度. I- i+ _$ y) Y" w$ h: `+ y; J/ O
Derivative matrix, 导数矩阵; @9 I7 t% Y# X( L" y6 z
Derivative-free methods, 无导数方法5 O2 R: T9 y; f* K: ?0 H7 p/ G6 I
Design, 设计* [ H7 Z! R- L w0 s, e
Determinacy, 确定性; p/ N/ l2 B) ]& G+ _4 M7 T$ x
Determinant, 行列式+ |$ f# a8 D' y4 @8 G! r0 }
Determinant, 决定因素
i8 D( Y; M/ A) f( G. @Deviation, 离差+ u4 O4 {: _7 ]
Deviation from average, 离均差
" f) i7 @ g) A6 J" Q9 {' bDiagnostic plot, 诊断图
- R$ R5 t) u4 t0 q4 SDichotomous variable, 二分变量; r: u0 g" a* }
Differential equation, 微分方程
" J# j# X7 Z) nDirect standardization, 直接标准化法- A8 y$ b L) ^% v8 V8 X
Discrete variable, 离散型变量
2 o% I, }& j5 q9 J5 P: ]DISCRIMINANT, 判断 4 B# C" Y8 p% R! t
Discriminant analysis, 判别分析- |7 C2 g& ]$ k: A6 Z! N+ G1 @
Discriminant coefficient, 判别系数
# S4 e/ ~6 R5 @, }& PDiscriminant function, 判别值) ]0 \1 I% B/ L) P- z
Dispersion, 散布/分散度
( @7 |8 }( x& Y. dDisproportional, 不成比例的
$ X( |$ a) _# n% `Disproportionate sub-class numbers, 不成比例次级组含量
& T0 |# ]6 t$ ~0 wDistribution free, 分布无关性/免分布# D2 s1 y* _' [/ U' [
Distribution shape, 分布形状: J/ Q6 Q* E( T! C
Distribution-free method, 任意分布法
$ B6 B& F/ Z aDistributive laws, 分配律; V" o' O. b O& F6 u' j
Disturbance, 随机扰动项/ j. T0 T8 Y0 E4 _3 b' p5 s6 J0 m
Dose response curve, 剂量反应曲线
5 N8 g& I' A7 G' V6 kDouble blind method, 双盲法
4 x# Y7 v/ K3 J2 G! x# E$ ^Double blind trial, 双盲试验
" N' V- F% x2 `' M3 z- h0 uDouble exponential distribution, 双指数分布- w3 b' R0 |/ r( A/ M
Double logarithmic, 双对数
4 a' n1 V6 ]( d" |" k/ Q1 c5 vDownward rank, 降秩
; v! `/ W" P% q( \9 @ K$ x/ HDual-space plot, 对偶空间图) H1 G- ~4 ^- F x! Q
DUD, 无导数方法1 B6 v* t6 h9 Y! f9 q. O
Duncan's new multiple range method, 新复极差法/Duncan新法
# i! x# x8 I" \& wEffect, 实验效应
/ U6 d4 V- K: j/ u6 N8 L; `Eigenvalue, 特征值
- f1 g- y2 S; B6 d" ^% a; X) gEigenvector, 特征向量
' p- S' V9 T9 T& fEllipse, 椭圆
, a0 l% Y1 y# f. IEmpirical distribution, 经验分布
+ y& O# g. W7 a4 _" c# L7 ZEmpirical probability, 经验概率单位: k0 u) X$ v. L& [. ^2 H }( y: G' r
Enumeration data, 计数资料4 |! n3 C) t5 s$ y$ A2 b
Equal sun-class number, 相等次级组含量
3 W* a r1 Z$ x& AEqually likely, 等可能
' u z0 O7 P) W* cEquivariance, 同变性
( D- u' L! d- b3 ~Error, 误差/错误
+ d3 Q4 D' t, e+ g. w% A. xError of estimate, 估计误差, @0 h$ C5 F9 ]$ ~/ c2 _
Error type I, 第一类错误* ~% {: }6 y$ Y2 \/ s
Error type II, 第二类错误/ i! P% j* d! J. \8 j
Estimand, 被估量
6 f. k; B) h- ]3 JEstimated error mean squares, 估计误差均方5 @3 |8 u# \1 i6 t( N
Estimated error sum of squares, 估计误差平方和
! k/ E! d" t3 l. S4 Q( Q: PEuclidean distance, 欧式距离0 S- F6 G( y! P
Event, 事件1 f' [, [( Y% l, L. c
Event, 事件
! {6 k7 ?2 F6 c" Q: u1 C: F6 R6 @Exceptional data point, 异常数据点
/ B% b5 B2 b- H3 E0 ?Expectation plane, 期望平面1 Q Q* e( ~* n- x; b' h
Expectation surface, 期望曲面* h5 D4 J3 O; i
Expected values, 期望值
3 G' b9 T* x8 q. d& CExperiment, 实验
: T0 T* I+ ~0 |- {2 u- tExperimental sampling, 试验抽样: ~, X; k' }+ E5 h" j1 J$ j
Experimental unit, 试验单位- G- P7 j8 J9 ]$ c4 n
Explanatory variable, 说明变量9 u( o2 z- Y! k3 P0 T* G
Exploratory data analysis, 探索性数据分析
. S! f6 {. B, X; O& ^0 lExplore Summarize, 探索-摘要
+ t# a& c, Z& @' T, P( aExponential curve, 指数曲线) X9 b1 c& A) l
Exponential growth, 指数式增长. @% b" x5 i: X
EXSMOOTH, 指数平滑方法
# M( j- ~1 V- M8 T: W% p( h. D4 hExtended fit, 扩充拟合+ e+ s3 {- k9 f3 ~. i a
Extra parameter, 附加参数
& F0 G+ g Q0 ^7 C9 w" p6 [Extrapolation, 外推法
. K6 K! b8 ~+ e7 vExtreme observation, 末端观测值
# ^8 g/ V0 |1 n# y* P FExtremes, 极端值/极值" H. i. ?+ G& d- I, a
F distribution, F分布) Z8 F j5 `0 T4 v! _ S
F test, F检验
4 Q0 p% \4 r8 Q; d3 O X7 yFactor, 因素/因子! A W T& O2 V* h
Factor analysis, 因子分析
, S: h. I! F( B3 j6 ]( d( FFactor Analysis, 因子分析2 Z& k3 t7 [8 G: p5 q
Factor score, 因子得分 ) P* s+ v+ P/ s) D. a+ z* ?
Factorial, 阶乘
8 N. _% e1 l) n: h8 I+ cFactorial design, 析因试验设计
0 M# p7 x- O2 E3 \1 @/ HFalse negative, 假阴性
, d' \6 _& \! b! IFalse negative error, 假阴性错误8 D3 w( k+ G2 K
Family of distributions, 分布族
/ E: j, p# i8 y8 z& B+ W! A- E pFamily of estimators, 估计量族
5 t2 R `" |/ ?6 UFanning, 扇面0 \5 \" U4 e# ^: S/ i
Fatality rate, 病死率
1 `% R# O/ \9 @8 K: h7 d( r! rField investigation, 现场调查
2 d4 L5 h8 S& b. u( HField survey, 现场调查
, T! l6 [1 o) c# T1 AFinite population, 有限总体8 P3 \+ L+ @7 \9 f0 u v
Finite-sample, 有限样本 ^1 J4 n' w5 l: u
First derivative, 一阶导数+ o" N) f2 Y% f
First principal component, 第一主成分
3 H9 a& \ b4 l4 Z2 }) dFirst quartile, 第一四分位数
2 Q8 I g% ]4 i, W' OFisher information, 费雪信息量8 a* z% K2 J: T, v# b# ]: {7 ^4 E t: w
Fitted value, 拟合值
& a/ e# Y" i% Q/ K/ |+ ZFitting a curve, 曲线拟合
2 \9 R- I4 Z% j% i0 d( cFixed base, 定基
* _2 @$ e' F D4 q! VFluctuation, 随机起伏! n2 \+ y- O. }8 y5 {, ~; |
Forecast, 预测
; S& Q) ` d. J9 Z1 ?- X" \Four fold table, 四格表
; }! `4 h8 z o2 c7 a1 D5 d. gFourth, 四分点6 T$ {% @& N. Q2 o. q
Fraction blow, 左侧比率
; ~; Y4 X5 u$ `7 g" V* k% XFractional error, 相对误差
" [& }. ^- Y! f" @1 e7 tFrequency, 频率( W7 g+ h) ?1 {, E1 K' E5 ?
Frequency polygon, 频数多边图
1 i4 k3 t0 V3 \/ WFrontier point, 界限点
+ E& ^. o! t% a2 VFunction relationship, 泛函关系 v0 d8 H& r3 L$ \- S6 L4 i
Gamma distribution, 伽玛分布
9 d) ^- G' m+ e$ r4 M4 rGauss increment, 高斯增量; O# d% t; F/ z0 q% T J s' H
Gaussian distribution, 高斯分布/正态分布* u; g) q7 |6 Q' J1 O" E7 X
Gauss-Newton increment, 高斯-牛顿增量' s' e7 W$ ?8 ~. p
General census, 全面普查
" u# d0 m, j, \. L4 \- ~: Z, |GENLOG (Generalized liner models), 广义线性模型 + H v* S6 z* y8 ]0 Y& _
Geometric mean, 几何平均数
/ Z0 Q. a3 v" {+ r, v$ MGini's mean difference, 基尼均差. Y. \% B! m0 Q& M, ]$ n+ K
GLM (General liner models), 一般线性模型
/ p" f- E# ?2 u& I' VGoodness of fit, 拟和优度/配合度+ p) M e ^- q
Gradient of determinant, 行列式的梯度, p I+ ^- m+ O. _& b
Graeco-Latin square, 希腊拉丁方4 W$ @' ^% Z; s0 m. d- e5 N
Grand mean, 总均值
% m k4 ^% W9 ]Gross errors, 重大错误
! ?' |; ?) I" HGross-error sensitivity, 大错敏感度 r n1 P; d0 j! h+ w. p! D
Group averages, 分组平均5 c* D) Q9 G5 R7 u. y
Grouped data, 分组资料# p; E0 F) k* k% L6 `+ Y* Z9 h2 ]
Guessed mean, 假定平均数
/ {0 H% |- D3 H$ u O5 g0 K. YHalf-life, 半衰期
& ~- I9 w( I" a' j+ ZHampel M-estimators, 汉佩尔M估计量. F: A' x& ]/ l$ F
Happenstance, 偶然事件
" f5 a0 _6 o0 RHarmonic mean, 调和均数, q9 ], R: v8 Y
Hazard function, 风险均数$ |3 L& n. K u" p1 F
Hazard rate, 风险率
0 F6 G. L! u8 LHeading, 标目
r/ o1 q7 q- J# i6 dHeavy-tailed distribution, 重尾分布6 R3 J# v! O$ M
Hessian array, 海森立体阵4 O& H+ b" }# s3 x3 y) b
Heterogeneity, 不同质
! b5 M m4 _. S% zHeterogeneity of variance, 方差不齐
# S8 a F* g( THierarchical classification, 组内分组* h9 y4 X: J, }! w/ u0 X) T: t. t
Hierarchical clustering method, 系统聚类法+ u* G+ ]% W7 G. n
High-leverage point, 高杠杆率点; w. t! f) y! F- F& N: G/ H c0 Y/ `
HILOGLINEAR, 多维列联表的层次对数线性模型
* X$ v4 K* z& y/ l: YHinge, 折叶点: d# K5 o, H' w! z
Histogram, 直方图
8 D, h5 M$ m. b" F( D! rHistorical cohort study, 历史性队列研究
' J* B. c7 R$ N8 D$ QHoles, 空洞0 e* l' m( |. P% [. a
HOMALS, 多重响应分析
% q) z7 c9 y0 ^* L, U( eHomogeneity of variance, 方差齐性4 k7 A% z- Q. e2 u( P
Homogeneity test, 齐性检验
3 |* v+ w5 c; Y7 o( F) z5 `Huber M-estimators, 休伯M估计量: U' p8 c) ~6 ~, R* z- @" y. Q% l
Hyperbola, 双曲线
, P) b( _; G9 ^: T9 r+ K% EHypothesis testing, 假设检验5 [6 h( \5 O8 q+ g+ {% _" c0 s" f
Hypothetical universe, 假设总体
( G" L6 c( Q+ R& U/ e, J3 H3 r$ SImpossible event, 不可能事件) N" |. ^9 L' t' B0 U$ A7 F; b; l
Independence, 独立性
1 P$ i M/ u1 Z7 H* _& V3 @Independent variable, 自变量+ R" }# w P: c) a" P
Index, 指标/指数
& S: i$ [* w3 ]' a! cIndirect standardization, 间接标准化法* y; v( o9 P# a: g6 Z4 U! y
Individual, 个体" [2 N: v5 |3 X, a. g
Inference band, 推断带& P/ J. X7 O) s% y
Infinite population, 无限总体) e: ~& o: ]. L
Infinitely great, 无穷大3 N. N6 |9 _" F' a
Infinitely small, 无穷小
3 T1 J- E6 D& N; b7 eInfluence curve, 影响曲线
8 X8 G8 c0 R% e$ C5 s; e. w! G* rInformation capacity, 信息容量
Z2 Q, d8 n% h* G* SInitial condition, 初始条件
, M7 h/ A1 D6 g' j, `' o; HInitial estimate, 初始估计值 o2 c2 {! Z7 x
Initial level, 最初水平
' G f4 L5 J! w( uInteraction, 交互作用+ R8 u& y/ E* A5 G$ G
Interaction terms, 交互作用项" s# p; Y% l2 @9 u, f
Intercept, 截距
G: r% i1 O# W2 U: @Interpolation, 内插法( H( E. z1 O( f% d2 L0 l
Interquartile range, 四分位距
' |; K1 y; b1 |, d8 U8 X7 iInterval estimation, 区间估计, j% c6 `* C! a7 z5 l5 ?- @
Intervals of equal probability, 等概率区间+ y, Z" g% ^" V" i% a2 H
Intrinsic curvature, 固有曲率2 W) R9 q. R$ h+ h! B
Invariance, 不变性$ |6 _& K; D7 |$ @$ R) Q
Inverse matrix, 逆矩阵
3 F1 E% z" Q$ p; w7 ~Inverse probability, 逆概率
" W4 C% t {. T/ C5 w5 P4 b4 f! m; fInverse sine transformation, 反正弦变换
* n/ |! Z0 I$ xIteration, 迭代
! }7 R& N3 J% g8 xJacobian determinant, 雅可比行列式& O7 x. b5 k: G7 @
Joint distribution function, 分布函数& L& G( \% ?9 Q1 x% w* X
Joint probability, 联合概率
! O0 t: K' i4 tJoint probability distribution, 联合概率分布3 d; ]8 h3 a* a5 ^# N
K means method, 逐步聚类法. A. T4 k8 {5 _
Kaplan-Meier, 评估事件的时间长度 9 O6 X+ e) w1 T6 q" j: W5 K# V- P
Kaplan-Merier chart, Kaplan-Merier图- ^! {% c: r# R4 F
Kendall's rank correlation, Kendall等级相关9 ]/ \, D8 N# A5 c+ C% k
Kinetic, 动力学1 A8 I( C5 U8 C
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验+ Z9 ]( q, a b2 \2 Q& g9 d# a
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验% G" G& N6 w3 ^* x9 g8 o
Kurtosis, 峰度
$ |1 C4 G& s b4 |* ^Lack of fit, 失拟
1 _4 }& u+ C3 C+ o' B* T1 q- ]Ladder of powers, 幂阶梯
6 L; \9 ~3 ?* J1 s/ x; I+ ?7 uLag, 滞后- J# k+ H0 P; n! P. i
Large sample, 大样本' A' {' y& @- G* Q+ d2 _* c+ ]9 H
Large sample test, 大样本检验! l w, Z! V6 |; `% w x0 P, Z
Latin square, 拉丁方
1 J+ J* {; P* \$ J& rLatin square design, 拉丁方设计. c7 a" @3 U/ g
Leakage, 泄漏8 P d9 ~; C% ?% g' w. e( c
Least favorable configuration, 最不利构形5 s$ ]- l( s Y
Least favorable distribution, 最不利分布 T. f9 S) N/ d" J
Least significant difference, 最小显著差法. m( K8 ?- J+ ]" O8 _" U4 [
Least square method, 最小二乘法1 m+ b6 q" V i1 |, f5 v/ ?
Least-absolute-residuals estimates, 最小绝对残差估计
( a8 o4 D! e) hLeast-absolute-residuals fit, 最小绝对残差拟合; k. K0 C6 ~0 k
Least-absolute-residuals line, 最小绝对残差线
' N( k+ I `9 sLegend, 图例
7 O# a; u: N7 P3 n% `L-estimator, L估计量! h! X) m3 S3 _5 h9 f
L-estimator of location, 位置L估计量. E2 h( c7 k1 j' K" q' \
L-estimator of scale, 尺度L估计量
8 z v* s, l/ t! m7 lLevel, 水平" }" o9 G j' z; T% {& q, W; u# n2 O
Life expectance, 预期期望寿命1 d$ Y; P. e0 H& G' l
Life table, 寿命表) Y" v+ X6 K7 u1 y: @. T4 y% n
Life table method, 生命表法% H+ _! \0 {# B Z
Light-tailed distribution, 轻尾分布
3 C1 a% E0 f& {4 C( H( w% ~Likelihood function, 似然函数# @5 T. i4 T% |1 y R. t. r
Likelihood ratio, 似然比! [! ^ [/ C/ X, H& }9 T/ Y6 K
line graph, 线图) T$ [' }; Q5 X. R+ E! u3 N
Linear correlation, 直线相关
2 I6 T4 N* W7 R% _( i1 v8 @Linear equation, 线性方程. E" N* L. n# O7 y
Linear programming, 线性规划& a7 r2 T* b: `! H0 j
Linear regression, 直线回归
& ?: d1 J! J: f8 V5 ]Linear Regression, 线性回归% e; w- z% C! ~; X8 G; K
Linear trend, 线性趋势, ~( J2 W% n( A+ V g0 d6 t4 N$ `
Loading, 载荷
}# |& c1 ~7 J3 ]) U/ r2 MLocation and scale equivariance, 位置尺度同变性3 _: P; |9 @$ r1 d: C4 `* Y5 d$ X
Location equivariance, 位置同变性4 _" w; E: l L/ q% t5 U
Location invariance, 位置不变性7 p# g, y; [5 Q+ P3 Z
Location scale family, 位置尺度族9 n D1 r- a2 T d6 s
Log rank test, 时序检验
, H5 D7 n4 H( m/ T1 z- h0 ?; YLogarithmic curve, 对数曲线 \# ~6 i( T# I0 T1 [- { @
Logarithmic normal distribution, 对数正态分布! Q& o5 A6 b4 T: r
Logarithmic scale, 对数尺度; G: u. m/ m+ F+ L0 k
Logarithmic transformation, 对数变换
) b0 s2 u5 x/ r4 C* z0 d! S9 OLogic check, 逻辑检查$ k" k2 S/ {9 {
Logistic distribution, 逻辑斯特分布
& x2 E/ T" o# m5 p! O/ i' rLogit transformation, Logit转换& W$ m4 \5 S9 H4 ~' r
LOGLINEAR, 多维列联表通用模型
; _8 i7 g! ?! |& Z3 x0 {Lognormal distribution, 对数正态分布
" H3 j. `. b4 n8 ILost function, 损失函数8 f) U3 z& s' O9 K, r
Low correlation, 低度相关
7 |8 \" e% _- X! B* @: dLower limit, 下限
' h; X6 [/ M1 B% ]Lowest-attained variance, 最小可达方差
: R8 m# @; q' l ALSD, 最小显著差法的简称4 g, z% s* ], J) o! A9 J
Lurking variable, 潜在变量
* X' S. m% V0 W* P& k8 m, d0 KMain effect, 主效应# d! I. ^" w u6 A6 k- ^ D8 q2 K
Major heading, 主辞标目, ~3 Y6 P. w6 I8 O( _8 p! ]" k
Marginal density function, 边缘密度函数
+ S w- r z/ }6 U# Y u2 N) }Marginal probability, 边缘概率! H( |7 {+ [) J: U
Marginal probability distribution, 边缘概率分布7 c4 b( s, {9 i8 V" f
Matched data, 配对资料0 T$ K+ z, Z+ F/ ~
Matched distribution, 匹配过分布
1 I- P; Y5 G q8 M; J9 F' J6 S0 PMatching of distribution, 分布的匹配
( J# y0 \3 y& V/ H; g3 N4 fMatching of transformation, 变换的匹配
6 ?8 I# q% P6 q1 w4 {Mathematical expectation, 数学期望
1 @% T( T. t- B7 B- O! ?- k5 E8 @Mathematical model, 数学模型, N, v) a* j" G/ t
Maximum L-estimator, 极大极小L 估计量
# x; v% A5 H0 p7 r& P- M3 E+ MMaximum likelihood method, 最大似然法% d; P- x8 P7 i' u5 D
Mean, 均数
" @) U( h) n9 U7 C% XMean squares between groups, 组间均方
s/ f% c0 i& @( y/ E& N& `Mean squares within group, 组内均方
: C6 g y, | \, o# R DMeans (Compare means), 均值-均值比较
# F$ I! b8 L, {7 u- h, |Median, 中位数
: l6 z% g5 z$ O% FMedian effective dose, 半数效量
0 v# G5 ]- \8 Y' w" h0 yMedian lethal dose, 半数致死量
1 H. v7 Y9 V' z; h9 Z) wMedian polish, 中位数平滑) I: e& o) a: s) \
Median test, 中位数检验
4 l5 C; | x$ U4 N% n. _Minimal sufficient statistic, 最小充分统计量
$ ]0 g* b4 Z+ z/ t0 L) [3 mMinimum distance estimation, 最小距离估计
# {2 k6 j8 i! UMinimum effective dose, 最小有效量
6 X# Q. y" G: gMinimum lethal dose, 最小致死量/ T, U) H8 Q* R0 A
Minimum variance estimator, 最小方差估计量
- @, J. J! D5 vMINITAB, 统计软件包: ?/ c, r6 E8 d( l! n8 X
Minor heading, 宾词标目
' {; y6 k; c0 @7 d5 iMissing data, 缺失值5 o& b1 j9 n$ {
Model specification, 模型的确定
/ w) D. I i. S5 s* kModeling Statistics , 模型统计( U! E7 H) l! P; O5 U7 s
Models for outliers, 离群值模型4 ^0 z! V2 n9 I6 }
Modifying the model, 模型的修正6 A+ E' T# [7 o! H: |
Modulus of continuity, 连续性模9 V. \2 K9 a. l1 ^9 c$ ]
Morbidity, 发病率 ; E" h$ a4 i+ Y3 ?7 c
Most favorable configuration, 最有利构形
0 Y/ M. J% p5 TMultidimensional Scaling (ASCAL), 多维尺度/多维标度4 r1 j+ j; b; w* C7 t+ t
Multinomial Logistic Regression , 多项逻辑斯蒂回归
9 {- l: n" C' L, v8 N& q- I: d4 ]Multiple comparison, 多重比较
! R6 j! T; R6 u H7 VMultiple correlation , 复相关/ ?9 H# s6 W" {2 Z' w: X
Multiple covariance, 多元协方差0 [. d% o) x, l! @6 O/ `8 f
Multiple linear regression, 多元线性回归6 T% f) @$ W: M3 t% O6 c* F# ^
Multiple response , 多重选项
& P, ^, p# O4 E G# U# w9 U* a0 D" \Multiple solutions, 多解
2 |/ X! O6 N" Q- `Multiplication theorem, 乘法定理
& e9 Q% m. E1 i2 T* k" GMultiresponse, 多元响应+ B g! E! `- t( `. C% J8 n0 G) M5 W2 a
Multi-stage sampling, 多阶段抽样- J" v! G$ K# ^; i8 I( f3 s/ k
Multivariate T distribution, 多元T分布8 P9 r4 Q4 k6 F+ q, y
Mutual exclusive, 互不相容 L* ?9 `# i* Y% ~9 t
Mutual independence, 互相独立$ l! F% q0 D6 J0 q) @& b z
Natural boundary, 自然边界
- h* B" s6 U' fNatural dead, 自然死亡/ u6 g9 ?) B7 X/ F9 }
Natural zero, 自然零
, R! _0 ]1 Y) |$ XNegative correlation, 负相关2 f! A+ L/ C2 P/ u' Z
Negative linear correlation, 负线性相关% ^, m1 K) h) S6 K' ^1 a
Negatively skewed, 负偏8 l8 K" Q1 w8 f1 F
Newman-Keuls method, q检验
) i Y& Q" b& y: qNK method, q检验; t f9 w' B, U: z
No statistical significance, 无统计意义
5 L. ?) b& J6 d8 `Nominal variable, 名义变量! U+ t \4 t T+ q
Nonconstancy of variability, 变异的非定常性( ^4 y$ X3 T/ P' c
Nonlinear regression, 非线性相关- m9 ^' b/ |- E6 P8 ~
Nonparametric statistics, 非参数统计
5 y3 f8 ?" ^+ f' F" W" ^% @" zNonparametric test, 非参数检验! { N% t2 L. U' S- D, e9 L- U* Y) b
Nonparametric tests, 非参数检验
; P& W' i* s% `8 |" ]- r3 k) dNormal deviate, 正态离差; x! T1 B; f$ S/ t0 o( Y
Normal distribution, 正态分布
$ Y, v* d: s8 W/ L" F3 |* o0 O! ANormal equation, 正规方程组
1 f# g* n) Q/ lNormal ranges, 正常范围/ }) w+ e; X/ g* O+ b2 O
Normal value, 正常值1 [% e9 t/ C; b8 n
Nuisance parameter, 多余参数/讨厌参数
6 r: F! x' g9 k( y4 r4 MNull hypothesis, 无效假设 ) v9 `/ [5 k; e3 W: C
Numerical variable, 数值变量
. ]' c& d$ d+ ]& B' m( JObjective function, 目标函数
; s3 p$ C" Z) MObservation unit, 观察单位
& u' j0 I) _5 b6 Q2 A8 \Observed value, 观察值
) Z+ G! x/ K& XOne sided test, 单侧检验
5 x2 C3 U3 j8 O4 [6 _# Q) GOne-way analysis of variance, 单因素方差分析
3 W4 ]' i8 a0 y7 EOneway ANOVA , 单因素方差分析- @$ b4 W7 W( Q; q, m
Open sequential trial, 开放型序贯设计( ?( S: X y& k' C! \3 L
Optrim, 优切尾: }6 O# c$ x. e4 K8 [) Z8 `
Optrim efficiency, 优切尾效率
9 H2 p4 E M3 W: lOrder statistics, 顺序统计量
7 ]4 ?/ T/ p4 c. FOrdered categories, 有序分类
. e3 m( ]$ v: KOrdinal logistic regression , 序数逻辑斯蒂回归* {0 C1 s9 I& ?% F/ v
Ordinal variable, 有序变量
+ c% j& Z- D* b+ v8 e6 V4 W. [ ]Orthogonal basis, 正交基' X# X/ ^0 H6 g/ \+ u: J, [
Orthogonal design, 正交试验设计% y- d: V. P3 }
Orthogonality conditions, 正交条件( v L4 x% C6 W, P/ S8 I
ORTHOPLAN, 正交设计
! D, @6 v; u! ^+ |# G$ qOutlier cutoffs, 离群值截断点
, ~) i I& R" [0 M7 UOutliers, 极端值
, ~! y2 d# D. hOVERALS , 多组变量的非线性正规相关
' }& {2 l! u. c! ?. h/ yOvershoot, 迭代过度3 I( u5 }2 f. z$ q. ?* I& o
Paired design, 配对设计
! ^, ?* n# z* d" R& APaired sample, 配对样本
/ A8 D, @. ~, V$ UPairwise slopes, 成对斜率
6 p: f2 p5 f" B" A" `. E3 T+ OParabola, 抛物线$ f5 Z4 s) s( C5 q6 b; A
Parallel tests, 平行试验
' _: X+ E. j8 J- SParameter, 参数$ U' M! d* |/ Z7 n3 w
Parametric statistics, 参数统计3 d k9 R$ O, A3 \/ d
Parametric test, 参数检验
& l6 |8 t- ?/ d1 E- U/ e: I0 N* cPartial correlation, 偏相关
6 g1 j9 S- \8 E! N9 b! J$ D" FPartial regression, 偏回归: }3 H" R! s2 K# D
Partial sorting, 偏排序
0 y6 X1 `/ Y2 L% l# mPartials residuals, 偏残差
8 |1 Y. s. c% SPattern, 模式8 b3 {% k2 V) \' h2 x4 }: k8 R ]
Pearson curves, 皮尔逊曲线% G! u% A" t/ g/ U* c
Peeling, 退层- H: G+ ~& h; |
Percent bar graph, 百分条形图+ `, ]: b. T; m( I
Percentage, 百分比
/ ^/ Y6 M1 ]# ~/ ^$ A9 l0 e% a; gPercentile, 百分位数, L8 G# ^( m8 ~' {1 M
Percentile curves, 百分位曲线/ F/ e# F/ V& z3 O' q( O* {
Periodicity, 周期性6 l4 O1 z9 a2 I, D ~! [; A, {
Permutation, 排列' T8 ?' I0 R+ S6 T! T1 y
P-estimator, P估计量! m% h* y) e' c
Pie graph, 饼图
1 x; m+ B( T+ o6 L' \Pitman estimator, 皮特曼估计量; z' _( g% h2 a k" K
Pivot, 枢轴量
! O) h& p9 x- vPlanar, 平坦
6 r8 g7 I1 `8 C0 I: nPlanar assumption, 平面的假设0 n. _/ R" v1 b1 `5 v
PLANCARDS, 生成试验的计划卡
E5 z d# V3 {Point estimation, 点估计' T5 O4 A x5 M1 G; q6 a- V
Poisson distribution, 泊松分布
7 e- E# B. ~" t" v' L2 \Polishing, 平滑
6 T( ? f/ Q6 Z8 l5 m+ F6 IPolled standard deviation, 合并标准差$ l6 T) a2 t( ?6 D
Polled variance, 合并方差* c8 ~% G; q" r; j8 K2 L5 k9 b
Polygon, 多边图
5 \ d6 X3 Y1 u0 i# C7 Q6 ~Polynomial, 多项式
j- F% Z+ O! x& aPolynomial curve, 多项式曲线
" w* E7 U$ i! m' i" q7 t4 @Population, 总体4 ?0 h/ n: C E J- s
Population attributable risk, 人群归因危险度
' m3 y" Q% m( J5 v2 s/ b) p; YPositive correlation, 正相关! U' I. }% p/ c* p& c& L) k q7 B7 K
Positively skewed, 正偏
0 [8 j/ f* K6 F6 b, RPosterior distribution, 后验分布9 W! \" T2 j9 u
Power of a test, 检验效能
+ o8 G# H- R5 K- e5 @$ `+ U [Precision, 精密度6 y) E3 P7 T# |) l: B* R; N8 V' }* a
Predicted value, 预测值' x; z$ @7 e7 o" D! l
Preliminary analysis, 预备性分析
4 w# t& _; `3 m/ v, f6 fPrincipal component analysis, 主成分分析% i7 B: H3 `% O F/ O0 U
Prior distribution, 先验分布- v7 n9 r+ K* d
Prior probability, 先验概率) f8 o) k* w* {% |% C
Probabilistic model, 概率模型
( W8 ?% j2 F3 i/ j) uprobability, 概率& z |6 t: J% Y
Probability density, 概率密度( O. g& a3 f! X% |
Product moment, 乘积矩/协方差: e5 `+ w d! T+ M
Profile trace, 截面迹图
; M3 b" f' Z0 }, z( `3 EProportion, 比/构成比
' I. [1 U( Y- y/ }0 k! f" b* q8 AProportion allocation in stratified random sampling, 按比例分层随机抽样
3 U+ B/ c2 p) D$ A! {$ ZProportionate, 成比例
% `! D. {) }: OProportionate sub-class numbers, 成比例次级组含量! L: k0 C, v( x3 @# F
Prospective study, 前瞻性调查* q7 D$ q! X) G0 q
Proximities, 亲近性
: g: { _0 \( Z* r" A% x' fPseudo F test, 近似F检验
5 K5 _* Y% q/ T7 L g. y& x+ R* OPseudo model, 近似模型
$ \; d0 w9 t; J$ FPseudosigma, 伪标准差- H' J- }# i8 u, k0 ~- \5 X
Purposive sampling, 有目的抽样 m) R4 u: [. U. j
QR decomposition, QR分解
5 {. Z5 c) G) K, q4 Y$ D. R" aQuadratic approximation, 二次近似- \8 [0 i5 a% k) G2 U, P
Qualitative classification, 属性分类
% F* W$ v/ [. g3 \Qualitative method, 定性方法- n3 F$ k& W7 B* b. Z) G, q! p
Quantile-quantile plot, 分位数-分位数图/Q-Q图( o5 H+ ]. G S# U) B0 k+ S% h: V
Quantitative analysis, 定量分析# F1 ^ S/ H1 `# I- k( r$ N( _6 M
Quartile, 四分位数
# k6 ^: A; O8 G8 M" o1 BQuick Cluster, 快速聚类, l$ R' X& k% e- e! F
Radix sort, 基数排序
; k! J9 K& S- v: N3 fRandom allocation, 随机化分组! g& f" D% S% ]) a6 e* ^3 \
Random blocks design, 随机区组设计* v; F9 E6 z1 O6 p- l B
Random event, 随机事件+ }% u0 ?' h& q/ _0 U) B! V
Randomization, 随机化2 P, C% c% d. k8 O* _$ x
Range, 极差/全距/ b' L. R8 |1 L# P y% K
Rank correlation, 等级相关5 q( e) `6 m2 N. i3 `
Rank sum test, 秩和检验% u* m L5 P* U: I; Q5 {
Rank test, 秩检验
) b. w* ?' @6 b% {Ranked data, 等级资料* z. M! m7 R: O- F4 k$ L
Rate, 比率
! a1 F, M! d2 z' C0 bRatio, 比例; F6 ^+ U* F9 g+ a" a4 G
Raw data, 原始资料
9 x, D7 z+ Y3 uRaw residual, 原始残差
8 {, p3 M( A3 C( M3 Q# ARayleigh's test, 雷氏检验9 U. ` `" }% X/ |. {+ x7 c
Rayleigh's Z, 雷氏Z值
* j" u, S& L, x4 ]& p, _! fReciprocal, 倒数: j' j) u/ ^% e2 y( k
Reciprocal transformation, 倒数变换
; E2 M2 }+ j" X0 D- a4 V$ C; N1 h+ ^# ARecording, 记录. L' C. ?+ g8 K5 f8 c9 I
Redescending estimators, 回降估计量4 ~% A9 h# h8 D, x; f
Reducing dimensions, 降维
; V2 c; ?) L& jRe-expression, 重新表达
: s/ D9 X. Q1 T. C) u* p: _2 n1 X3 [Reference set, 标准组* `0 @) p8 X8 Q! q
Region of acceptance, 接受域
3 u( Y8 T( S# {5 f* bRegression coefficient, 回归系数
Q7 d2 g8 R" v3 W' BRegression sum of square, 回归平方和
. |- f5 q: s; A9 nRejection point, 拒绝点
! o d. ]- C/ y1 |' D" z7 aRelative dispersion, 相对离散度
3 ~% l# a$ I: KRelative number, 相对数
( v R' t9 N. V# N' p% f8 XReliability, 可靠性9 T" N- c5 u5 J
Reparametrization, 重新设置参数% j$ V' G0 l& E6 ]
Replication, 重复6 ]' g, m& i: I+ S9 G+ ~1 ]1 S
Report Summaries, 报告摘要
" v- f' u1 [) L" RResidual sum of square, 剩余平方和
4 `9 X) b( E# s3 r3 V& ]Resistance, 耐抗性4 t9 b9 k: U5 @4 ]1 z
Resistant line, 耐抗线
; b' g3 {3 E3 j& Z4 M/ j {Resistant technique, 耐抗技术
; X4 C# A) T+ t5 U5 o& e, d. sR-estimator of location, 位置R估计量
+ t4 j9 o. W" ~R-estimator of scale, 尺度R估计量
% C! Q4 w2 [4 |: B6 u, D! SRetrospective study, 回顾性调查$ w8 V; c8 c0 I' ^7 g
Ridge trace, 岭迹 U/ t$ z: o9 M& c% i x c+ j7 a. x
Ridit analysis, Ridit分析
+ h9 X1 Z8 S- v. `) ]3 PRotation, 旋转4 C. j3 Z- k6 I, |: _& N" [
Rounding, 舍入9 a/ b2 Y& P" I
Row, 行
$ |* E* x) x( }% ^# b4 lRow effects, 行效应7 _* y# u+ C: Q( i; y* e+ [; R
Row factor, 行因素! F' k' {% a( U1 \ Q! `4 _4 [' J
RXC table, RXC表( U1 A% y4 M& r- q E. F
Sample, 样本
; L# m* e7 }5 h6 B9 I/ x5 aSample regression coefficient, 样本回归系数+ |* c5 X& F* z; N9 c" C( B4 ^4 X W
Sample size, 样本量/ _0 W. Z$ Q3 R9 ^1 `' b/ k6 v1 Q8 A
Sample standard deviation, 样本标准差
; c. K0 X" P0 I7 U4 M0 SSampling error, 抽样误差6 S+ x2 ^# l# @( B( L' H2 }
SAS(Statistical analysis system ), SAS统计软件包) }9 e# l& S9 ]+ N3 a4 |
Scale, 尺度/量表$ \ \+ w: m, B, r5 W7 E
Scatter diagram, 散点图0 @* X, c$ [/ v0 T$ d3 e8 y
Schematic plot, 示意图/简图- V# n( x. N# G: H- B5 N4 V
Score test, 计分检验9 w) a" V, W& [% o" Y, _/ @1 n- o
Screening, 筛检3 g) f& V( B# [( V
SEASON, 季节分析 ( c" l+ c1 z/ V( b! W4 g
Second derivative, 二阶导数
: ~: B' J) G' s! u# e6 R) T! [Second principal component, 第二主成分: G; t T$ x. l! o" o, Z( I
SEM (Structural equation modeling), 结构化方程模型 7 e: a( [" t4 z) [! n' a: ^
Semi-logarithmic graph, 半对数图
5 I! e1 F: s3 ]) {Semi-logarithmic paper, 半对数格纸, _+ _& [& M. m! S1 {3 j( @ y
Sensitivity curve, 敏感度曲线
( c& u/ G1 m. n9 qSequential analysis, 贯序分析
7 r7 z2 o H; f) S2 J# OSequential data set, 顺序数据集
3 s5 s! \8 e7 K' p3 mSequential design, 贯序设计
6 Y2 K) c! \; z y u- }Sequential method, 贯序法) t- \& J, g+ A9 u1 o. p; x
Sequential test, 贯序检验法
: R9 a; z2 E9 Y7 @+ E) t8 S5 \Serial tests, 系列试验! L, z8 R. Z T, n
Short-cut method, 简捷法 9 ^* o! _% F" p5 W1 ?# z
Sigmoid curve, S形曲线
2 N) g! y& E: v/ h S6 MSign function, 正负号函数
% u6 \2 ^. z V' C$ ZSign test, 符号检验% j, f& X) _4 |, ~+ ?! T$ u
Signed rank, 符号秩
! \8 e0 V! r- J6 i8 mSignificance test, 显著性检验 }- Y; G1 @% }8 S' J
Significant figure, 有效数字
4 p" x5 H7 k. n; Z$ t9 {# u* KSimple cluster sampling, 简单整群抽样8 \2 u) W {, |2 g
Simple correlation, 简单相关/ r& h$ b% p8 t, v$ M4 ^
Simple random sampling, 简单随机抽样
' p! R: @" p8 Q( A. PSimple regression, 简单回归
: R* ^( G7 n. A+ c$ isimple table, 简单表/ G T2 J; t9 T9 G
Sine estimator, 正弦估计量
; h8 H) b7 y& [) m. n7 v3 zSingle-valued estimate, 单值估计4 s, B! ~3 k' ]+ t) @3 I. H) e
Singular matrix, 奇异矩阵
( {1 n5 z! m9 { GSkewed distribution, 偏斜分布7 ?% V7 ]; x3 X& i
Skewness, 偏度
! \ O7 I E, f5 U* PSlash distribution, 斜线分布- {/ g9 B( i+ i; F
Slope, 斜率
6 M2 T" |2 R' OSmirnov test, 斯米尔诺夫检验6 k8 R1 d0 D9 L" t& T
Source of variation, 变异来源# g* P# r, G% `- U8 ^
Spearman rank correlation, 斯皮尔曼等级相关/ q- x' R+ a2 V, c6 _* q& p
Specific factor, 特殊因子$ a4 ?; L9 a. E5 \& i4 q
Specific factor variance, 特殊因子方差
3 w' s; E' \) p0 k! @, p% USpectra , 频谱! r) b3 r3 S0 Y4 t% h7 ~8 `
Spherical distribution, 球型正态分布
) O+ w3 P0 r, [% uSpread, 展布
, a( o& S }' u1 CSPSS(Statistical package for the social science), SPSS统计软件包
2 s% G0 ]5 o3 t% fSpurious correlation, 假性相关
2 X, ] n! u3 _, s+ C; d/ g- GSquare root transformation, 平方根变换2 i( @3 L! v y4 c0 Z: d8 R
Stabilizing variance, 稳定方差$ f0 L' J( H: Q0 E- r* [0 H, v, E; I
Standard deviation, 标准差4 O, i" m) w N# x
Standard error, 标准误
6 q8 T/ s0 O" k: r; ^) NStandard error of difference, 差别的标准误
% {2 i2 P% f5 s! S1 b0 a" ^2 Z& {Standard error of estimate, 标准估计误差
4 O9 C9 L1 F" |( D0 OStandard error of rate, 率的标准误
; c* n0 o$ F. N* A) @5 dStandard normal distribution, 标准正态分布2 s9 ^3 Y/ \0 o3 q. z; D* A
Standardization, 标准化% Z5 v, L6 W% @% T$ @
Starting value, 起始值, T- Z" d4 h' A% v) g5 U" {
Statistic, 统计量 y$ x: u7 |7 |0 ]( O) Q, |+ k* G) y
Statistical control, 统计控制
* }6 R: j# ?$ ?5 c2 EStatistical graph, 统计图9 W7 p; I8 X# n* k2 r
Statistical inference, 统计推断5 W) a" ]$ e5 P0 k. P
Statistical table, 统计表
7 y7 T7 `" {' T2 ?2 ^+ d& p. _Steepest descent, 最速下降法1 Y1 v4 z' V. A6 ~3 |1 Y) O0 }% t
Stem and leaf display, 茎叶图$ g4 H& f6 i' F$ p! v
Step factor, 步长因子
& \8 ^2 A1 z# iStepwise regression, 逐步回归
" E2 }; L) a/ q7 J ?# RStorage, 存% ~$ W6 f' C7 X3 e3 q
Strata, 层（复数）
5 o' e2 z2 k/ V7 Y1 uStratified sampling, 分层抽样. w9 D9 }+ i- N: W
Stratified sampling, 分层抽样
/ {( {" d$ R) R5 i( n0 eStrength, 强度
c: o: [5 I# L% T" p+ ^Stringency, 严密性
- j8 v6 I* R7 ^5 ]. ]Structural relationship, 结构关系- Y$ ~% k+ C+ ]5 Q2 K- ?$ ]
Studentized residual, 学生化残差/t化残差! m O& g$ P/ i3 K% S7 C7 Y
Sub-class numbers, 次级组含量
9 M# C- d& u3 R8 Z$ ?% tSubdividing, 分割
: A1 K0 @/ L' m% Y8 {Sufficient statistic, 充分统计量# ~( }, A7 b$ A4 C* a4 {3 |
Sum of products, 积和
6 ?' J& w: W- S) A1 m! nSum of squares, 离差平方和
. n- V9 y4 o: y W r z3 P6 {1 z/ qSum of squares about regression, 回归平方和2 y# N1 i: G3 [ C9 S P
Sum of squares between groups, 组间平方和6 [) `. }) B `& X+ \; U* W
Sum of squares of partial regression, 偏回归平方和
, ]% e2 J$ P$ e+ }Sure event, 必然事件
4 x( j$ ~0 s2 Z! HSurvey, 调查# W, L$ U: ^# j5 Y0 C% M
Survival, 生存分析5 K' H, ?3 f8 `* e9 Y, ^* R
Survival rate, 生存率$ c1 W8 S3 J) o2 Z4 N( X5 q+ {
Suspended root gram, 悬吊根图
5 `7 n) p! a' r% L% ASymmetry, 对称
( h1 V6 ~2 M0 y+ y) a) GSystematic error, 系统误差
8 U. B, {0 _. V' m# U5 nSystematic sampling, 系统抽样, H" u5 S- x3 j$ G8 w! G% v: K) z
Tags, 标签
2 Z( t- ] ~8 k& |6 N+ gTail area, 尾部面积
9 A/ M1 R2 C" N# i" ITail length, 尾长
+ [$ O* E5 s! F) KTail weight, 尾重+ Z2 | C$ o5 q
Tangent line, 切线7 z, [" _' U2 S; f9 c- }
Target distribution, 目标分布. [: q% o ]0 z( k$ y
Taylor series, 泰勒级数9 q9 p8 n: b' x( W1 S( m: A+ a( Q
Tendency of dispersion, 离散趋势4 b2 }; n2 T' R, U" W5 r
Testing of hypotheses, 假设检验
% M. x- e# s9 t% N9 h% `* C5 jTheoretical frequency, 理论频数
$ S' \$ v3 L! aTime series, 时间序列
& i5 J3 A, s4 b; MTolerance interval, 容忍区间
0 X9 o# |0 N$ X1 r( rTolerance lower limit, 容忍下限
" H9 ~: Q: L: j% [Tolerance upper limit, 容忍上限
0 k3 }1 @( D* m5 |2 oTorsion, 扰率
& `0 v7 U1 [# n( j) \Total sum of square, 总平方和
% v0 u; O* Q: V' i: \. STotal variation, 总变异
8 R0 p' j' o& \. \* t yTransformation, 转换7 s/ }& A) q/ b0 j
Treatment, 处理
7 A7 j9 k+ H2 v2 E/ b" T9 ]Trend, 趋势. a6 z) f8 N- I* m
Trend of percentage, 百分比趋势1 k0 {2 Y1 I$ K b8 K5 Z
Trial, 试验
/ K/ e5 Q# ~' f! _Trial and error method, 试错法
/ i! [6 F. F" {& U) O R1 a/ N1 v0 BTuning constant, 细调常数: H' b9 h3 g% m4 `
Two sided test, 双向检验) z+ d! G0 @1 K* ` k
Two-stage least squares, 二阶最小平方
' `. ^5 _8 `! l; a4 y8 ]3 wTwo-stage sampling, 二阶段抽样
( n" U. E$ Z" o5 ^' cTwo-tailed test, 双侧检验! a A' R0 m5 c* k( w
Two-way analysis of variance, 双因素方差分析9 S: u/ r' E/ @
Two-way table, 双向表
) b% X4 h7 X9 P6 h5 gType I error, 一类错误/α错误& T/ ?3 D2 |+ A: O4 \# p* |
Type II error, 二类错误/β错误5 V E u( q2 u* v& a3 ?# V
UMVU, 方差一致最小无偏估计简称$ o y7 ?( _, C Q# M" N8 W1 a
Unbiased estimate, 无偏估计
" j1 J+ C* u1 U3 c3 [Unconstrained nonlinear regression , 无约束非线性回归# M* X$ z; `$ v0 K
Unequal subclass number, 不等次级组含量
* E, _( c( n) RUngrouped data, 不分组资料/ w. r" i* [0 V+ E( m! g% z4 F* r
Uniform coordinate, 均匀坐标
2 }4 b# I% N- w4 X: `6 R2 KUniform distribution, 均匀分布# h: T$ Q& z8 f' {7 L3 m
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
# T0 E2 v+ p) f; y% Q6 o sUnit, 单元7 {/ f9 @6 f" c/ ~$ b3 W. b
Unordered categories, 无序分类, k6 N! {# `6 M+ r5 ?. p# z# b1 V
Upper limit, 上限
% h! y- y; z* V9 V5 \1 lUpward rank, 升秩+ ?7 H1 m! R9 q7 R! Z
Vague concept, 模糊概念
, L! @0 f: l: ^4 e+ {+ HValidity, 有效性/ p/ J, R! C) U1 {( K
VARCOMP (Variance component estimation), 方差元素估计$ b% ~' J5 q7 E) Y0 W/ d. H
Variability, 变异性
& o. v! ]7 D1 `1 C" [Variable, 变量' V4 F$ D) h7 D- G, ^' h: H9 n' U6 c) Z
Variance, 方差
+ `0 o' K; K6 [Variation, 变异
/ e4 A& O+ |+ Z9 g* y) ~Varimax orthogonal rotation, 方差最大正交旋转
: X, P0 X/ ^$ j' M# S/ z8 P VVolume of distribution, 容积
4 x8 R& _2 o! J% CW test, W检验( \$ u" a7 I: K, ^4 i
Weibull distribution, 威布尔分布; i% p: X0 Z+ O9 H9 A7 K7 f- c
Weight, 权数$ U6 S9 K* E6 `8 Q4 z0 n
Weighted Chi-square test, 加权卡方检验/Cochran检验! V, G0 W9 Y/ g$ z
Weighted linear regression method, 加权直线回归
7 \6 C# d2 K& JWeighted mean, 加权平均数' I2 _2 ?: M! M6 L- |" `$ r
Weighted mean square, 加权平均方差
8 L9 v- j9 \: v0 n/ y, w0 vWeighted sum of square, 加权平方和. i. S7 w; h- c5 b
Weighting coefficient, 权重系数
5 S/ G5 Y8 }) f* U+ J; BWeighting method, 加权法 7 E/ m: G' Z g. }4 n
W-estimation, W估计量* ^* Y, \9 G; K, O
W-estimation of location, 位置W估计量; K9 J) v1 F' T: r6 \
Width, 宽度4 M3 H7 _3 |0 A: M) }7 k9 ?
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
8 X6 O9 o9 O4 Z+ H3 x) B/ e4 JWild point, 野点/狂点 [+ h8 L- K/ N' Z" W
Wild value, 野值/狂值
/ s) H: J6 u6 YWinsorized mean, 缩尾均值 z) E6 t/ o) G' C T
Withdraw, 失访
/ z. P2 f$ z1 k# yYouden's index, 尤登指数6 H6 z9 c$ J8 _- P5 i
Z test, Z检验
; B7 i/ ^* z3 D) d3 x. B0 S. IZero correlation, 零相关" J& I; D4 @% s" l4 R
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
