|
|
Absolute deviation, 绝对离差( ]/ D6 ^% Q- \' U8 s. U; Z
Absolute number, 绝对数. \8 o5 a- ]: y7 c* q+ r% s
Absolute residuals, 绝对残差
; b6 W, B0 D m! J5 FAcceleration array, 加速度立体阵$ ~8 e4 l. M" ]+ R2 \" E) m
Acceleration in an arbitrary direction, 任意方向上的加速度- |( z4 r7 P7 P1 Q4 n- ^) @5 T, d
Acceleration normal, 法向加速度
6 @ r" H2 w; T& o' W2 z% I) SAcceleration space dimension, 加速度空间的维数$ S& M; o, [ \8 z
Acceleration tangential, 切向加速度2 D5 u; n# K/ U% X* b' F
Acceleration vector, 加速度向量
7 t% O# E2 V& D, B2 i0 T" Y8 tAcceptable hypothesis, 可接受假设
% \5 r+ b' q/ u6 Q8 OAccumulation, 累积
, r1 a8 i: t# E2 }3 mAccuracy, 准确度6 Z$ {* _* y+ a/ K0 C4 E8 i; o$ K/ o
Actual frequency, 实际频数% ~/ w/ k2 Q) P/ r+ T; I3 H. s* e8 m
Adaptive estimator, 自适应估计量* T Y, v' k/ d) j6 \0 t# I
Addition, 相加. i# R% p3 N; \ c% j
Addition theorem, 加法定理
9 {1 M1 _8 s% H' n AAdditivity, 可加性& L% T* `6 P- U+ ~3 b8 b
Adjusted rate, 调整率
. r/ |# n: V( I* PAdjusted value, 校正值
5 |6 O( X( J3 u1 @9 Y! f% @! h/ DAdmissible error, 容许误差3 H4 k3 p2 y2 R8 e! m% |+ Q
Aggregation, 聚集性( B, x# M/ M S, y
Alternative hypothesis, 备择假设
9 V( b( L5 D, m# G5 tAmong groups, 组间' F, c9 e) r6 S- {
Amounts, 总量
; [" `$ m, n0 e8 r0 V6 f9 sAnalysis of correlation, 相关分析
! Z! g0 U% W8 y- h; s7 dAnalysis of covariance, 协方差分析
5 {4 G/ s. K( \- yAnalysis of regression, 回归分析3 K" {9 z/ {$ y, M
Analysis of time series, 时间序列分析
4 o$ M$ G# X& ^. w& z1 nAnalysis of variance, 方差分析
" s/ r, O7 v b! ^7 ?Angular transformation, 角转换
$ v" t7 y/ [% M" RANOVA （analysis of variance）, 方差分析& L6 y0 e& a# |9 o! D! u+ W
ANOVA Models, 方差分析模型
6 F$ d: P' I3 `, ]( S) KArcing, 弧/弧旋
) [1 `# ^. Z9 l" ^Arcsine transformation, 反正弦变换. G ]2 K& |' F, `: O# z
Area under the curve, 曲线面积9 A& ~, U0 `1 J( [) N
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
. G4 U* i+ N' ?! u0 X4 C k8 WARIMA, 季节和非季节性单变量模型的极大似然估计 ' g* L% }" w. k' s# R2 m4 \
Arithmetic grid paper, 算术格纸 I5 T5 Z% K9 d G" E: y
Arithmetic mean, 算术平均数
* A7 h' X& ~* P3 }Arrhenius relation, 艾恩尼斯关系
! c" C+ y5 J) d5 A2 ]Assessing fit, 拟合的评估" U% H1 j3 m' H3 `
Associative laws, 结合律. R. _. `: G$ u6 e N" ~
Asymmetric distribution, 非对称分布
* L2 E" s. F- Q; ] r% Y a* O' L: rAsymptotic bias, 渐近偏倚& p* N. o# B; h' A( W/ a
Asymptotic efficiency, 渐近效率; ^. p b1 X5 Q. K; p- q
Asymptotic variance, 渐近方差
: g g0 I7 {' q/ l# L }& s4 P5 a7 MAttributable risk, 归因危险度
: q4 C2 P, K$ \" X9 T1 C4 [Attribute data, 属性资料3 i) {7 }" X( b4 c
Attribution, 属性
" j B& y- b0 _ L& [" V( ?' L; bAutocorrelation, 自相关3 L- a! R* p2 S( W1 S
Autocorrelation of residuals, 残差的自相关
" v v, E4 N+ F& B: L: X. ]Average, 平均数" M6 t( y2 c/ o- Z7 m! J! O
Average confidence interval length, 平均置信区间长度7 @0 g* Z! C6 O. y
Average growth rate, 平均增长率
/ t6 ^* j. p- z# f( N1 T1 i dBar chart, 条形图
, i- ^. M& d( |- \Bar graph, 条形图" F+ U! }* O2 Y$ U, O
Base period, 基期% ]# O" @% a, r6 o. W7 I" }# {" _
Bayes' theorem , Bayes定理
3 v, i: W" s& a! {2 l0 G) r+ xBell-shaped curve, 钟形曲线
( Y& K3 L F: a9 h0 _+ B/ ^/ k' U$ |Bernoulli distribution, 伯努力分布( N& n; W3 U9 \0 F
Best-trim estimator, 最好切尾估计量
: F4 l& B f9 _/ K3 A2 hBias, 偏性
! v+ d. d, r4 r7 QBinary logistic regression, 二元逻辑斯蒂回归" @1 p& W3 ~ ~2 H+ A
Binomial distribution, 二项分布
. Z1 k4 I5 c! yBisquare, 双平方3 }; r( S: V4 v/ m7 p
Bivariate Correlate, 二变量相关
' U- w, j* L+ T3 c& `Bivariate normal distribution, 双变量正态分布 c4 o) O& Q/ P k2 _; F1 N
Bivariate normal population, 双变量正态总体" i! d9 `( f. g% Y2 e
Biweight interval, 双权区间1 O* ?! P. r% L( O' g# p
Biweight M-estimator, 双权M估计量: j7 c, P# o9 A) k
Block, 区组/配伍组3 i/ N T% V% }
BMDP(Biomedical computer programs), BMDP统计软件包
, p( o E% l4 o! z8 [ `2 y- GBoxplots, 箱线图/箱尾图5 }) E% t0 o/ Y& G& i- [0 j
Breakdown bound, 崩溃界/崩溃点
; j+ V$ A$ m# ]2 y% dCanonical correlation, 典型相关* v4 d$ p [1 K
Caption, 纵标目9 i7 h1 ?0 ]0 z* @
Case-control study, 病例对照研究
7 u, d q' H2 SCategorical variable, 分类变量
: Z) T/ I2 H9 `8 I0 c. pCatenary, 悬链线
2 J+ w9 I% g6 D0 _" `Cauchy distribution, 柯西分布
' I+ k8 w6 W% a( H7 M. iCause-and-effect relationship, 因果关系7 ^8 s: h, g8 y, V9 b" l
Cell, 单元/ t; a% {& K2 X5 P9 ?* ~) i
Censoring, 终检
5 r3 T6 c! [- i' @- j& kCenter of symmetry, 对称中心
$ M# ~( v+ y) G5 T6 wCentering and scaling, 中心化和定标
* f+ L2 S, u# j( y# [Central tendency, 集中趋势
i; o- c7 S" P/ r/ f$ K( FCentral value, 中心值
: L2 Y' t' e) ]# Y6 t1 H4 ?- KCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测/ V5 Z% y# E2 [& @' B) N9 s8 ^0 i
Chance, 机遇
7 P4 Y1 B- r& X! y1 yChance error, 随机误差" Y# x; y7 G% S+ y
Chance variable, 随机变量& I! c% H/ t+ K/ T1 {
Characteristic equation, 特征方程
7 W5 e/ O' o; n0 [ YCharacteristic root, 特征根
3 w* s/ t* q' D& X! q" rCharacteristic vector, 特征向量( ]; @1 w2 v- S+ b7 q$ `( q7 E
Chebshev criterion of fit, 拟合的切比雪夫准则& L% R; J. h# x4 Z" ~4 E( ]8 b& Y
Chernoff faces, 切尔诺夫脸谱图. a& Q* D& a- z4 A0 q
Chi-square test, 卡方检验/χ2检验
! c% q! h, g; x+ s3 `% ~Choleskey decomposition, 乔洛斯基分解
7 A0 g# A' n2 F: X1 `- X6 D" |Circle chart, 圆图
; s; W/ Q# J3 e8 i. p8 HClass interval, 组距
. ~0 Q/ n1 c( ^2 J* A5 ^/ ]+ IClass mid-value, 组中值1 D) k/ _2 z3 N$ e; L9 J
Class upper limit, 组上限
% q% r$ V- G j" [, \ EClassified variable, 分类变量0 t( I" @) ~* C6 a& Y; h1 g1 O' {/ U
Cluster analysis, 聚类分析
$ V; X8 K X0 k j1 XCluster sampling, 整群抽样
( H6 @, o, U, N3 a, yCode, 代码0 [/ k( ~* Q. i! X1 T$ o1 Q
Coded data, 编码数据0 i, L$ I6 u8 F" m& g
Coding, 编码
1 s( ~% p t- m4 |( VCoefficient of contingency, 列联系数$ N; N" e7 P/ B" I! W& h
Coefficient of determination, 决定系数
% _# b1 D4 b5 E- q. a" U1 f, O hCoefficient of multiple correlation, 多重相关系数' f' K3 L! R* R. c D9 @
Coefficient of partial correlation, 偏相关系数
, x# Z& }, k; y2 c) iCoefficient of production-moment correlation, 积差相关系数
1 l% i1 l5 r1 W3 z9 HCoefficient of rank correlation, 等级相关系数6 m) Y2 H" |. o S$ b/ O
Coefficient of regression, 回归系数# _$ s) a: L( U7 Q
Coefficient of skewness, 偏度系数. X2 h& k- h+ j$ i8 l4 i
Coefficient of variation, 变异系数$ d1 ]3 z, z$ A) R
Cohort study, 队列研究4 j" f7 U& Y+ E* s2 L! z: m
Column, 列
* a' P" }; j4 W" @) [/ N8 [$ _; PColumn effect, 列效应
, r9 W0 o. P0 S9 iColumn factor, 列因素. C% G8 ~ z4 m! z. I8 T* o" F
Combination pool, 合并: s5 ?! j7 w, F. s( _4 `( f* P$ o7 v
Combinative table, 组合表3 e) E+ b3 F% u$ S; q
Common factor, 共性因子
* Y: ^ B! N+ _; h! g( m6 T( f; I9 XCommon regression coefficient, 公共回归系数
7 u% g9 o R$ OCommon value, 共同值% P) {5 `6 K: O d ?
Common variance, 公共方差4 N. L9 w6 }( V
Common variation, 公共变异 U& S8 i- K4 R# Y# b
Communality variance, 共性方差
7 |- ]" l5 S4 z# QComparability, 可比性
, _6 F: |% u: N o4 b1 MComparison of bathes, 批比较$ ]5 N) {3 K7 R: I' c8 M
Comparison value, 比较值: N8 @9 t. [' T6 w
Compartment model, 分部模型8 j# e' ~' u7 q9 j8 P
Compassion, 伸缩. ?7 g& f1 r1 d
Complement of an event, 补事件
& Q( G9 C* c6 c" l6 }/ K5 `7 iComplete association, 完全正相关
$ S. _. y! B0 @8 B. w3 yComplete dissociation, 完全不相关
; ?) U7 I7 H$ x% @Complete statistics, 完备统计量1 n/ A, Z4 m X* e" a; L, P
Completely randomized design, 完全随机化设计
. [ G1 O$ d' _Composite event, 联合事件
1 l# U! S7 z+ \, ~) s$ O5 ]% Q. _Composite events, 复合事件+ B: H8 h" A7 i" h8 R8 A9 p, y' Q
Concavity, 凹性
4 ?0 A* H; _) E" ]Conditional expectation, 条件期望" ? i4 c' i9 t& d$ ?9 x2 ]
Conditional likelihood, 条件似然
& o( L. U7 h) ?2 HConditional probability, 条件概率1 t. B% U) i: F
Conditionally linear, 依条件线性! ]2 U. r0 y2 x+ X/ Z) i+ y
Confidence interval, 置信区间
* o. g% f6 q0 M3 m1 s1 p8 `; F6 w- h! VConfidence limit, 置信限
" W2 [5 K" N+ J* j* CConfidence lower limit, 置信下限
/ P* R6 V2 m bConfidence upper limit, 置信上限8 B/ P: @3 f: S4 V( n# y
Confirmatory Factor Analysis , 验证性因子分析6 T$ _) O# F* m. f# b% y' h
Confirmatory research, 证实性实验研究
7 Q: a8 r+ k0 Q; k7 {Confounding factor, 混杂因素
' v3 m' o7 ] A# y# \/ M2 kConjoint, 联合分析
% o. K+ U1 |5 d9 nConsistency, 相合性' g5 \1 x- a5 k* g
Consistency check, 一致性检验/ G! _$ [. H0 E' w& _7 B
Consistent asymptotically normal estimate, 相合渐近正态估计8 e1 i# h2 t+ A- t* a; d
Consistent estimate, 相合估计
7 a( Z. H, I4 `% Y! I3 {2 KConstrained nonlinear regression, 受约束非线性回归0 l2 m, T1 h* j' V, S: g3 W
Constraint, 约束
$ g6 H4 E6 z# X& y# V _Contaminated distribution, 污染分布
2 j: e" \% k) k5 _5 qContaminated Gausssian, 污染高斯分布1 p+ }! r4 [, F6 b
Contaminated normal distribution, 污染正态分布
4 B g$ V3 F6 _Contamination, 污染
" G+ ?9 B1 G3 J9 n- uContamination model, 污染模型! {) U3 K) G. G
Contingency table, 列联表* Y J: r- o' L- c+ ?
Contour, 边界线
3 f* J! ?5 R! O5 o9 yContribution rate, 贡献率$ K. ]4 L, {# A/ z" K
Control, 对照3 b3 o0 Z/ ?' D: Z
Controlled experiments, 对照实验
! O3 H' [; m! r) fConventional depth, 常规深度" n- ]& P9 F8 _& _, i6 m: f% W
Convolution, 卷积
% c& C8 S# N9 ~9 z! TCorrected factor, 校正因子
* N- }9 S$ I: ?2 BCorrected mean, 校正均值. z& m* ]/ C' @9 Y& g8 O2 w/ V
Correction coefficient, 校正系数
% q4 u6 _$ t( I1 m* E( xCorrectness, 正确性
/ P4 i. n5 O- \. xCorrelation coefficient, 相关系数" ?0 [; y, ]/ |8 h% S
Correlation index, 相关指数
7 Z) { |! O, C& h7 z6 j, G2 RCorrespondence, 对应
. Z" |6 L1 Q* O2 jCounting, 计数
1 Q% Z# n4 {2 Y6 k" v0 u5 |Counts, 计数/频数
5 d8 v+ t+ k( d/ yCovariance, 协方差
( {' ]; \- L Z8 nCovariant, 共变
o6 \( o" E5 x# `# z2 h% yCox Regression, Cox回归# l; j- d; `- `2 S# s6 M
Criteria for fitting, 拟合准则
- P/ j% [# o0 ~Criteria of least squares, 最小二乘准则; k' u; Q' ?* g& J8 P
Critical ratio, 临界比; z2 S5 C3 C H
Critical region, 拒绝域( Q! _# \' W* N+ p; t9 u1 `
Critical value, 临界值
% f2 _# A, f) b4 `0 c4 nCross-over design, 交叉设计$ r, x/ _' Y8 C/ G
Cross-section analysis, 横断面分析
9 \) k# R8 k, G @Cross-section survey, 横断面调查
1 B0 ]$ o7 X- m, G9 ZCrosstabs , 交叉表
# J) ?3 J8 z) k! a4 |Cross-tabulation table, 复合表# U) A8 \9 T9 p$ H
Cube root, 立方根4 h' s. E! Z# b9 A6 e5 ^6 \/ i0 G" d
Cumulative distribution function, 分布函数
: q I- o0 G+ H. A& h3 `; N! a5 bCumulative probability, 累计概率( L4 C4 g1 f2 R7 X0 V, {& X0 B1 P. o
Curvature, 曲率/弯曲3 L4 ?, l8 c, N6 [
Curvature, 曲率7 }: \/ ^8 N6 v! s
Curve fit , 曲线拟和 . q( O7 H! k5 t! R! u- M4 d
Curve fitting, 曲线拟合: Y% {1 l+ ^8 L; X+ K- O
Curvilinear regression, 曲线回归
+ ?+ X T# A! z2 ~/ h7 r8 i1 Z5 zCurvilinear relation, 曲线关系
2 v7 C1 V9 K7 R2 }: @ J8 {6 xCut-and-try method, 尝试法
+ w2 H* b! t: ~ RCycle, 周期& N' A& O) U& W& U+ B
Cyclist, 周期性
2 H) B: }9 D8 W. r5 x. ?/ ?1 b4 tD test, D检验
" q+ \1 A5 \& u+ i1 S1 SData acquisition, 资料收集1 |# L( m) I( \$ E( R K
Data bank, 数据库
3 l0 Q$ u+ Y/ U* s+ ^: WData capacity, 数据容量
m$ R$ O! b3 D' \4 ]Data deficiencies, 数据缺乏& ^7 w ^( ]% l6 i' n1 } ?
Data handling, 数据处理
9 V* C( a& M; k9 O! j, D% OData manipulation, 数据处理; o3 b2 B+ {. c
Data processing, 数据处理# a' ]' b% J% W4 Q) B& E
Data reduction, 数据缩减. l" H4 Z( u5 U P' a# M' M
Data set, 数据集, I6 o* p) O; M* k6 C# Q
Data sources, 数据来源$ N5 m, x. t8 G+ e! _
Data transformation, 数据变换; `* u2 Z2 r2 M# S7 b1 O- k
Data validity, 数据有效性9 C) {4 E. g: _, X$ L
Data-in, 数据输入% t( b9 l: U, H7 @
Data-out, 数据输出/ ^ y0 n+ \/ Z
Dead time, 停滞期9 F0 u2 I! v3 o) j1 {6 t
Degree of freedom, 自由度% \# ]0 L7 l8 x" O2 t
Degree of precision, 精密度
) `+ @+ {; \) ?Degree of reliability, 可靠性程度
0 _, n$ ]2 o# \ |$ S% \8 B8 SDegression, 递减
8 c6 Q0 k2 A: E* jDensity function, 密度函数! z6 A% a1 [+ X) p+ c+ V
Density of data points, 数据点的密度7 m% N0 D) k# y ?' l( K/ t
Dependent variable, 应变量/依变量/因变量! ?* t) i( k) [# {. ^
Dependent variable, 因变量
! J" X& E9 j% EDepth, 深度
2 N" L1 b* v( E! {: c) UDerivative matrix, 导数矩阵
B8 z# t& z/ [Derivative-free methods, 无导数方法$ q* Z- ^; B/ J5 H3 W: x+ C. [
Design, 设计
! T! s! }4 d; r3 d# r$ wDeterminacy, 确定性0 D" ? z: Y& a: x
Determinant, 行列式/ x3 W$ a7 H( s9 }6 D' G& c. h! S: t
Determinant, 决定因素
! F" y. d3 t- aDeviation, 离差
9 r0 C: h( p, v( s5 Q; `% d9 |" UDeviation from average, 离均差, z& c x% Z3 [ J5 J. D
Diagnostic plot, 诊断图
0 S; I$ R5 E: B) {! EDichotomous variable, 二分变量& Y% N. y6 ~/ _ H, P. G
Differential equation, 微分方程8 r9 z3 L1 a4 a5 m, ^* O9 Q
Direct standardization, 直接标准化法
) J g4 v1 Q* c; i- KDiscrete variable, 离散型变量& l7 D8 ^8 g1 H: Z+ I
DISCRIMINANT, 判断 * y8 |* X6 S k0 d. `
Discriminant analysis, 判别分析
$ t3 `& m1 k. L& v F" ` |Discriminant coefficient, 判别系数
( `! D) _1 |0 [" QDiscriminant function, 判别值. }6 G0 N' ?+ S& e. z+ ?. Q
Dispersion, 散布/分散度) O+ D& [1 F- `0 T, Y& @8 g
Disproportional, 不成比例的
7 U5 t$ P2 T% @6 }/ [4 J2 ^Disproportionate sub-class numbers, 不成比例次级组含量% |4 L$ Y8 S# C# d+ _; j
Distribution free, 分布无关性/免分布
/ K/ p0 |! j" y0 Z1 z+ ODistribution shape, 分布形状7 f' l( G7 n+ a/ L$ R* S
Distribution-free method, 任意分布法9 ?4 B$ |$ ?) ^3 }2 C% h) D
Distributive laws, 分配律
/ o* U0 w. w$ R2 F3 }, QDisturbance, 随机扰动项* ^7 Z) r4 R, Z) F
Dose response curve, 剂量反应曲线0 l1 \: Y% Z) n1 Z8 i% s
Double blind method, 双盲法) v5 @* b1 V, Q, k/ H6 L
Double blind trial, 双盲试验
- A$ ?" W% d7 \) q, g X0 L0 ZDouble exponential distribution, 双指数分布1 L* t7 Y) t0 H1 N3 P
Double logarithmic, 双对数- v, f5 U* ]- s2 o6 F
Downward rank, 降秩 _- v1 C/ N+ N0 O+ M, R
Dual-space plot, 对偶空间图& {2 Z2 ^ i& U. e9 ]7 z8 w/ ]
DUD, 无导数方法+ s. i$ \" L" X6 \# R( t% o
Duncan's new multiple range method, 新复极差法/Duncan新法, G! Z& L- M. S/ d
Effect, 实验效应$ d; R2 Z3 x$ Y. d$ D+ a% T0 n
Eigenvalue, 特征值
( L6 s# Z" K* }$ |Eigenvector, 特征向量
$ _! D& a- {! e! g3 ~Ellipse, 椭圆4 n, U0 G1 L, H0 S# ^ |
Empirical distribution, 经验分布
7 `4 ~1 C; E: {/ UEmpirical probability, 经验概率单位
8 }8 w6 z, U1 n, KEnumeration data, 计数资料
3 V _; p+ W( R4 Z" {! B j2 dEqual sun-class number, 相等次级组含量& ~# w0 Q$ H0 K
Equally likely, 等可能
0 `" y- O+ i# [1 K; LEquivariance, 同变性
0 o q7 d# D1 oError, 误差/错误6 h4 g+ p: V8 p. u
Error of estimate, 估计误差1 Y6 L. R. u* k# ^
Error type I, 第一类错误$ W" v% E. s: d) p: m- v. s0 l
Error type II, 第二类错误1 E. N$ Q/ n' s
Estimand, 被估量+ @: x( [ G8 I4 l+ M g( w2 n# U( T
Estimated error mean squares, 估计误差均方$ G$ Y: o: ^9 W; H8 s" J
Estimated error sum of squares, 估计误差平方和$ C; Q ?' f" V b% L% P
Euclidean distance, 欧式距离
: d1 @4 [7 M" O' XEvent, 事件- g Y7 r9 J' D
Event, 事件
& B& a" v* |' r0 UExceptional data point, 异常数据点- P+ p* `# P& B9 o% ?0 C: V/ t
Expectation plane, 期望平面; u: H. [* z% r# Q; c
Expectation surface, 期望曲面
1 ~- X- o, M% F3 }; L( pExpected values, 期望值
) _6 [- z' }0 I2 U, n+ XExperiment, 实验+ R. k# m8 Y4 q7 b" m) m% i: N
Experimental sampling, 试验抽样
, O% x0 w, O7 p9 x/ P) R! `& {Experimental unit, 试验单位0 `" P* f( d- S; D/ h% w
Explanatory variable, 说明变量
& v& @- ^7 n0 zExploratory data analysis, 探索性数据分析
; j* ?: q! v" g- h/ oExplore Summarize, 探索-摘要
& N' m; L! x; }# B$ YExponential curve, 指数曲线
`7 R9 s- ]5 _: b- T! z# i0 u: CExponential growth, 指数式增长
" @5 m) H, }# v: ^EXSMOOTH, 指数平滑方法 4 k1 g) a, f) I0 ?+ E" T
Extended fit, 扩充拟合
2 G. y; _5 [! c0 ^Extra parameter, 附加参数2 C5 w* [# B. }' ^8 @
Extrapolation, 外推法4 C! E6 S! s2 w# g7 k/ R! @- z+ K4 L
Extreme observation, 末端观测值0 ]/ f6 b& {( W7 w
Extremes, 极端值/极值
3 _ W& p J: S4 R% Z" FF distribution, F分布! a; w& W5 h- s3 R9 F) \4 R& _% }
F test, F检验
* G: V* r$ X7 |7 b3 GFactor, 因素/因子$ S1 V" P# m+ t1 z& g
Factor analysis, 因子分析6 N& T& H% D/ z4 w1 R5 ~& f
Factor Analysis, 因子分析
0 h4 Y* U3 r6 b) B5 E' r hFactor score, 因子得分 3 q' R6 X8 u Q% R' m; r7 o
Factorial, 阶乘
- g5 r# K9 W) t/ U, L/ P, wFactorial design, 析因试验设计, E( x8 {5 l" U! e- ?8 w/ P( a
False negative, 假阴性
G+ j* M: ]% B1 UFalse negative error, 假阴性错误* K! @/ K7 t9 A" J* [, z2 y6 H
Family of distributions, 分布族
$ i% G% C) t4 p C7 d+ z9 SFamily of estimators, 估计量族
5 k3 z0 i r$ o" H' B( hFanning, 扇面
$ u' c. w# Q; U6 J- x1 x9 w1 [Fatality rate, 病死率
( N$ f# e$ v$ [Field investigation, 现场调查
. A; q' q; _# }% @+ A3 k6 tField survey, 现场调查0 g/ I2 m9 a6 N4 J7 b6 b
Finite population, 有限总体- J }0 Z& i3 ?' m7 K* ?
Finite-sample, 有限样本1 g, G' z3 _! D: @! O: g
First derivative, 一阶导数# w, k0 R9 o b! H& ~% f/ M) ~
First principal component, 第一主成分) W7 n' c, [7 ~1 C6 f' w9 J& v
First quartile, 第一四分位数# p) N T0 S: W$ v6 d8 J
Fisher information, 费雪信息量
; x+ n8 |" ~3 K/ aFitted value, 拟合值
5 w; E6 G: Q& b b! D* UFitting a curve, 曲线拟合4 x: ~% `2 U# [' N, @! x
Fixed base, 定基
& @8 ^5 A8 I/ g7 S$ M3 M' F/ uFluctuation, 随机起伏
$ ^7 r: P) o9 Z8 w3 l! E% UForecast, 预测
, _) l- r" U4 V8 YFour fold table, 四格表7 D4 r; R6 \0 ]4 U, E# U
Fourth, 四分点 A, S6 a6 C% M5 w% g
Fraction blow, 左侧比率/ F' g' V0 `- r& C, q3 l) H
Fractional error, 相对误差: Z* _" `2 N# s B" f
Frequency, 频率! m2 v0 U$ \5 X- M+ C
Frequency polygon, 频数多边图7 q3 a% V- A* r4 c
Frontier point, 界限点
, E, b% M4 G! p; N- R$ DFunction relationship, 泛函关系' a* {8 w( P8 d. _- m/ r# \. y
Gamma distribution, 伽玛分布
' K% F2 ^! Q) O6 P4 }7 mGauss increment, 高斯增量
- O1 {! B( \' {8 i& @Gaussian distribution, 高斯分布/正态分布+ T# l7 }% w( h) O" p
Gauss-Newton increment, 高斯-牛顿增量
7 M5 I! _1 D) W9 Q& P5 C% P: _General census, 全面普查
- u: `6 J8 Q2 `% [4 k% AGENLOG (Generalized liner models), 广义线性模型 / l g, V( V: _
Geometric mean, 几何平均数
* L; A2 G8 b0 h# UGini's mean difference, 基尼均差
) h+ |6 Y1 w8 O. ?* \8 z0 MGLM (General liner models), 一般线性模型 & a; }8 Y# }- b
Goodness of fit, 拟和优度/配合度* n8 B3 |& E$ a ?
Gradient of determinant, 行列式的梯度
, B k; x, i* A. u# SGraeco-Latin square, 希腊拉丁方
% h" {' v8 m( kGrand mean, 总均值/ N E H+ C0 d u8 F- k
Gross errors, 重大错误& Q$ S) @3 r6 F3 c% z
Gross-error sensitivity, 大错敏感度
! o- e8 F8 g: C( d$ s- dGroup averages, 分组平均4 z* A7 x' o! x1 _
Grouped data, 分组资料8 t* i& C: |; R4 k2 G
Guessed mean, 假定平均数
4 F! k6 V9 j; p, r8 O3 |7 g2 x8 RHalf-life, 半衰期4 k$ r( h x: v6 b
Hampel M-estimators, 汉佩尔M估计量
9 N, |9 T- N3 c: XHappenstance, 偶然事件
6 ?, g2 p) P4 G# t* n; W9 A8 P `Harmonic mean, 调和均数
/ |* Y* R2 D8 `+ W: z; u9 u% ]Hazard function, 风险均数7 Z- k' Y" k, [' M9 u9 r9 k' T( l
Hazard rate, 风险率
% j# ?6 T) D( ?8 wHeading, 标目 ) P' Q: _1 t3 p
Heavy-tailed distribution, 重尾分布
& F0 n7 U5 q% @8 q8 |Hessian array, 海森立体阵
9 @- I8 x5 L2 i7 W( q' K3 m& C2 m4 HHeterogeneity, 不同质. Q2 f9 j$ x% i/ B. O: @
Heterogeneity of variance, 方差不齐
, @8 d& M5 |/ L6 |1 J1 c' C, YHierarchical classification, 组内分组
+ `% G8 u! d. h- K' ]Hierarchical clustering method, 系统聚类法) I6 {0 O" h/ }6 M
High-leverage point, 高杠杆率点. b( [5 w, d* O6 V
HILOGLINEAR, 多维列联表的层次对数线性模型
) X- w2 Y T5 zHinge, 折叶点
# V) y. T" ^8 F9 \: h7 xHistogram, 直方图
: W6 U% N4 h9 h% y: V3 [Historical cohort study, 历史性队列研究
' e4 Y( E# C; g3 f) RHoles, 空洞, T- a8 n% \+ U: h: t9 O
HOMALS, 多重响应分析1 Q- [4 S$ E7 U& `3 O
Homogeneity of variance, 方差齐性
5 Y5 v" _5 ?" H6 ]: h2 tHomogeneity test, 齐性检验
6 C {# |# r5 F/ K# m- X+ ?0 IHuber M-estimators, 休伯M估计量) f* P) K/ E/ D2 p
Hyperbola, 双曲线4 z( A% d4 O( Z: F5 M) E7 _
Hypothesis testing, 假设检验: F; n% k( B( A ` u
Hypothetical universe, 假设总体
3 W& @/ i9 i* Z- R; K7 J# ^Impossible event, 不可能事件
0 K& E1 j. L6 p9 Z, MIndependence, 独立性5 |* J y4 i. V0 ?; \# Y' ~) l
Independent variable, 自变量
1 w# i9 h- G# U; vIndex, 指标/指数
( x. C; ~' F3 g3 h$ Q7 ^Indirect standardization, 间接标准化法
8 ~0 W% c0 m; r3 \; l+ TIndividual, 个体& {# k! M5 \$ b! |( W9 A2 M& S: j& R
Inference band, 推断带5 C& g2 Q# _; l8 G
Infinite population, 无限总体' h) Y W8 K+ Y& E2 f, |% k/ d4 O; u# E
Infinitely great, 无穷大
$ h* ?6 `# v- X' x8 g% x6 dInfinitely small, 无穷小! z9 E0 [+ x6 U1 T1 h$ Q- ^% s
Influence curve, 影响曲线
( U4 V- B. t0 C: @Information capacity, 信息容量
- o2 b8 ?$ V9 {0 S4 UInitial condition, 初始条件& H" M1 M, }* D
Initial estimate, 初始估计值% ]7 ~- F" j- S0 O+ t
Initial level, 最初水平
& E( N3 x' R1 U0 wInteraction, 交互作用3 j: Q: g1 v" G$ @9 @' {$ Z
Interaction terms, 交互作用项
m( t. A, C( }0 Z' x f) sIntercept, 截距
9 v3 O+ X0 V/ WInterpolation, 内插法
8 @; F0 {0 O. @7 }/ f9 ]Interquartile range, 四分位距8 }7 U. w" i2 u5 l5 o
Interval estimation, 区间估计
; ~9 V6 Q6 `" p* ?' X& Y6 MIntervals of equal probability, 等概率区间
8 f T- v. @+ W8 |! MIntrinsic curvature, 固有曲率2 B2 \0 F0 B) v8 {
Invariance, 不变性: `" W" }9 I8 M; P6 V7 m
Inverse matrix, 逆矩阵
8 O$ m; D% C0 d% Z4 e A7 MInverse probability, 逆概率. E/ i8 o3 \% D {' v: z
Inverse sine transformation, 反正弦变换
& {9 N: X# G: n: V6 r5 [Iteration, 迭代 # M' E6 M( \ @8 _1 x% O; L+ a
Jacobian determinant, 雅可比行列式7 J: P7 \. L3 g
Joint distribution function, 分布函数
1 B6 e9 C. v# yJoint probability, 联合概率- ^. j0 U. Y9 {+ c$ T
Joint probability distribution, 联合概率分布% K- q* J+ ]( D
K means method, 逐步聚类法* c0 A; t8 l. Z+ V _
Kaplan-Meier, 评估事件的时间长度 / X7 s3 C% B( I+ C% l @
Kaplan-Merier chart, Kaplan-Merier图
' F( E" ?: r, }Kendall's rank correlation, Kendall等级相关
! K# t" I$ u! U& _% |Kinetic, 动力学
. y( f6 g p y! r: ~5 d- EKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
- L: Q1 o1 a6 }. c: k% C oKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验; u$ j1 Z5 `6 ~* _- B9 n9 m6 X
Kurtosis, 峰度
: f1 p% ?5 i- Q6 pLack of fit, 失拟
: Z' }: d. C, ~# A# y: vLadder of powers, 幂阶梯
& {0 C0 S8 q1 C, D4 aLag, 滞后
% k* f+ ?; q8 Y4 vLarge sample, 大样本* V; b/ t3 L4 A8 m9 H4 A( E y5 E; J
Large sample test, 大样本检验" \- \/ x* _% q' c
Latin square, 拉丁方
# q4 ~. T8 T. E, ? m2 }/ ~Latin square design, 拉丁方设计9 y, B2 _' z/ K' \9 J
Leakage, 泄漏7 _) I8 V# H' |6 S3 j
Least favorable configuration, 最不利构形& ~& r; g% J/ o: u
Least favorable distribution, 最不利分布
6 ~$ P6 n1 a1 Z. l4 O2 ?% C7 T- CLeast significant difference, 最小显著差法' U7 a7 i% A0 n) S
Least square method, 最小二乘法. h6 L7 U/ Y0 S& d
Least-absolute-residuals estimates, 最小绝对残差估计
, S; W: g( p8 I6 p9 }2 d1 CLeast-absolute-residuals fit, 最小绝对残差拟合" y$ [- ?3 e+ C; q ?' z8 H# {* U5 n
Least-absolute-residuals line, 最小绝对残差线, r* C5 v; m R, ^7 ]! h. S1 S) X! f' ?
Legend, 图例
; V l$ G8 g2 q- x% j( d# }L-estimator, L估计量! R) M% B( K1 z
L-estimator of location, 位置L估计量! C% t6 j- S _; T1 O( t
L-estimator of scale, 尺度L估计量
- _3 s- i5 w$ D$ X0 q( \& vLevel, 水平% r6 o5 Y" e' R$ k: ]; h: g& O2 j
Life expectance, 预期期望寿命. S4 n* H2 F& }2 t" r
Life table, 寿命表
! L! t. N1 I* ?( w. NLife table method, 生命表法* S* @" S* f3 I; R. f* c9 b7 Q8 f q
Light-tailed distribution, 轻尾分布
3 O: Y4 v+ \- e: `0 BLikelihood function, 似然函数
9 {( n2 i l/ ~7 Q6 L. yLikelihood ratio, 似然比
4 y7 y1 G* @3 ?* ^4 Cline graph, 线图& Z8 X# [# Q+ w3 |
Linear correlation, 直线相关
& d- J( n, e) R7 wLinear equation, 线性方程3 h# p' m+ @# m; h2 Y7 P! O0 y3 n! _' q
Linear programming, 线性规划
( O3 E T9 A9 k+ i$ H( C! B* B, PLinear regression, 直线回归
: Q0 q) d) }" i6 KLinear Regression, 线性回归
- |0 @ _+ c6 H) ]" }# qLinear trend, 线性趋势
" s+ R. E1 ]! j8 e( |8 }Loading, 载荷 $ y0 M! S* J& R1 ~/ k9 [$ U5 y$ Q
Location and scale equivariance, 位置尺度同变性2 q2 M, H8 l/ m' m/ f0 t& o
Location equivariance, 位置同变性
' N- B& h0 b+ _Location invariance, 位置不变性
: C+ X: {% {& I9 G/ X: p0 YLocation scale family, 位置尺度族
0 x2 s1 v- N$ e4 }) _: {Log rank test, 时序检验
& z3 t5 s, l9 h! {2 X! nLogarithmic curve, 对数曲线
( m9 o; k9 N; k6 N- OLogarithmic normal distribution, 对数正态分布* b+ S* T2 @6 \" p1 d( ]; W
Logarithmic scale, 对数尺度) {( e+ l' e' J, e0 c. P
Logarithmic transformation, 对数变换4 U* g( _+ P- r6 x
Logic check, 逻辑检查
) D0 i4 O. E$ J5 h; Z" oLogistic distribution, 逻辑斯特分布
" u4 w# ~, f" V- bLogit transformation, Logit转换
" u2 ?- G* S/ [LOGLINEAR, 多维列联表通用模型
( f6 [' G0 a2 l3 x+ m# yLognormal distribution, 对数正态分布) d, w G: Z6 x# ]3 K9 H
Lost function, 损失函数/ n, \4 _# e, _4 r8 z' c4 O
Low correlation, 低度相关
) K. j. a. c/ ~( E6 ?Lower limit, 下限
- ], y2 x7 g8 tLowest-attained variance, 最小可达方差
3 A) K% V# t5 S p$ e3 k6 hLSD, 最小显著差法的简称
: m8 U0 j: x2 f' Z+ e) X' Q5 A1 cLurking variable, 潜在变量: o! ~/ ~9 Q6 W' W0 m
Main effect, 主效应
% t \4 R) j. Q; W# d% Q/ NMajor heading, 主辞标目
6 z# a/ ?; N0 y6 p$ pMarginal density function, 边缘密度函数
! ^: J8 @4 d- X, \1 w& B( {9 }+ ]Marginal probability, 边缘概率
( t; c1 V8 Q$ l6 QMarginal probability distribution, 边缘概率分布7 f* k5 s% H8 ^5 m5 E( j
Matched data, 配对资料, e, K5 F+ h: ]2 Z! p
Matched distribution, 匹配过分布
2 S5 H u: v7 T* O3 x8 S) wMatching of distribution, 分布的匹配
+ P+ ^5 r, y6 V; \3 M% Z: y2 XMatching of transformation, 变换的匹配2 _- x5 x9 d6 G& M* ~6 t
Mathematical expectation, 数学期望
. c0 t+ q6 N% T9 nMathematical model, 数学模型
% v( R; h+ p9 u5 V& JMaximum L-estimator, 极大极小L 估计量2 o- _* Z8 M5 u5 }0 A& N/ ~
Maximum likelihood method, 最大似然法5 |$ f2 s; I) b! t
Mean, 均数
% X; b+ ?3 D) S/ N% UMean squares between groups, 组间均方+ M6 H3 [% @% U' R: V( f- D5 `
Mean squares within group, 组内均方1 p! D. P" |! q0 w& b3 _
Means (Compare means), 均值-均值比较# i; s/ f. g+ v
Median, 中位数9 W1 g2 X/ u9 q+ |- p* ^
Median effective dose, 半数效量1 Y( _) `* s- |1 ?$ D( t
Median lethal dose, 半数致死量
* \6 E/ S% X2 @+ }: T6 BMedian polish, 中位数平滑
& T1 e5 l+ b, DMedian test, 中位数检验
7 i F2 d7 L3 [0 Y0 ]- ^' ]+ \Minimal sufficient statistic, 最小充分统计量5 y \, L, d- X2 F5 c3 Z
Minimum distance estimation, 最小距离估计
6 g7 I, |6 q' G3 p5 c# oMinimum effective dose, 最小有效量) [6 t. V/ Y% l6 `4 x
Minimum lethal dose, 最小致死量
& M% ^' X* D" m+ hMinimum variance estimator, 最小方差估计量
1 N- W* K, o& P) x V% wMINITAB, 统计软件包
: U+ R0 x9 e& N4 j$ ?4 aMinor heading, 宾词标目, I$ x. O1 Y d
Missing data, 缺失值3 S u2 B! c6 @* E- y6 v2 @$ O+ Q
Model specification, 模型的确定
. f* p1 G6 ^ O3 [8 L! G5 p9 cModeling Statistics , 模型统计
' E& V3 ~( @6 `8 g* ~9 xModels for outliers, 离群值模型
( p5 v- n- G% {9 R* sModifying the model, 模型的修正
: [1 _2 q: O- t/ E# PModulus of continuity, 连续性模( s7 e9 h7 @7 X
Morbidity, 发病率 , [- g. C8 B u n, w2 {
Most favorable configuration, 最有利构形: k" I/ D! e8 {1 @
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
4 B+ v) l2 Q* n |; D2 E8 }( o3 R5 kMultinomial Logistic Regression , 多项逻辑斯蒂回归9 `, y) ^5 G; |: V3 q" D! e
Multiple comparison, 多重比较
9 S* S8 t- M/ o# y3 U: ^/ c& d/ NMultiple correlation , 复相关
# H2 Y6 s" V0 J5 zMultiple covariance, 多元协方差
' r/ \% [) ^0 C, s7 J0 W/ ?Multiple linear regression, 多元线性回归1 p& v- r- D7 k+ g1 D
Multiple response , 多重选项0 i- \' l! U- Z: `" ^ `0 p8 T# U
Multiple solutions, 多解
- v% I+ W: }; F7 P) \) oMultiplication theorem, 乘法定理8 W4 x" Y5 {& Y/ H' X( D7 E
Multiresponse, 多元响应
- l: y2 S1 K% M, G( Z: Y. k, X! xMulti-stage sampling, 多阶段抽样4 E; v+ U4 O i8 B+ D) M
Multivariate T distribution, 多元T分布# v, M- X% K6 E( ^3 v
Mutual exclusive, 互不相容; ]7 X" Q. j- X0 E
Mutual independence, 互相独立. ?/ H) {( I) r3 t
Natural boundary, 自然边界- M6 j' H/ ]0 Q- n% ^0 ~4 k* @5 @
Natural dead, 自然死亡6 K1 f5 A2 W8 e) g7 ~
Natural zero, 自然零
# w" F+ f8 O/ S w, _/ ANegative correlation, 负相关! |! o, @' A! c% J* |0 E( Q' Q
Negative linear correlation, 负线性相关4 Y& N$ V! @1 d
Negatively skewed, 负偏
, d( S* G' T" \ u: t3 KNewman-Keuls method, q检验
( D% L. W( L& tNK method, q检验
6 d( S9 m1 P8 T. j& f; r0 ?No statistical significance, 无统计意义2 X* m" B. K. r3 S. v$ ~# s2 a8 S
Nominal variable, 名义变量# m9 R1 t6 m, A" e9 @
Nonconstancy of variability, 变异的非定常性6 {& k9 k& w4 Z2 E1 H, V
Nonlinear regression, 非线性相关
" l. }: ?3 o# ~# N3 ~Nonparametric statistics, 非参数统计6 R7 l! X, O; O. C7 h+ v
Nonparametric test, 非参数检验
2 I+ l, @: Q5 ]Nonparametric tests, 非参数检验
/ \+ j; @9 H. c% `% {% F2 g( oNormal deviate, 正态离差- s4 F. u/ b" W7 \% e
Normal distribution, 正态分布
; ^9 X/ |% B( q2 ^+ K* yNormal equation, 正规方程组. F5 |4 C5 z4 [+ x
Normal ranges, 正常范围
1 V$ s/ ^' K8 YNormal value, 正常值
% P0 s/ u' I$ q( `Nuisance parameter, 多余参数/讨厌参数! q0 n6 r. F5 p4 M8 @
Null hypothesis, 无效假设
# w) n; n; x4 t3 X$ JNumerical variable, 数值变量
% |: \$ c3 `! J" e# w, U+ DObjective function, 目标函数- Q6 r1 ]+ l9 J) T
Observation unit, 观察单位
% U. Z- v4 D; p7 O) r3 jObserved value, 观察值
$ Y. _$ B7 ?& ^6 IOne sided test, 单侧检验! \; r- X3 k% r$ c& y
One-way analysis of variance, 单因素方差分析7 Z6 g" S, W4 Z* {9 K
Oneway ANOVA , 单因素方差分析/ Z$ W. U* F! X- h D0 r2 s
Open sequential trial, 开放型序贯设计' f- p0 y$ q8 K }7 M2 p
Optrim, 优切尾
/ I0 C* a: \7 K7 ^Optrim efficiency, 优切尾效率9 @6 L0 P* c0 u/ g1 I+ }- r
Order statistics, 顺序统计量
6 |( ]: w' V, i; HOrdered categories, 有序分类* |% m8 `" F7 e- {7 t; x
Ordinal logistic regression , 序数逻辑斯蒂回归6 h _& u7 x8 p# A1 k7 C
Ordinal variable, 有序变量
4 q2 G4 |$ I# O8 ROrthogonal basis, 正交基
1 G, V# Z j- ]& KOrthogonal design, 正交试验设计" D# z; ^( l7 d( G: p8 ] e
Orthogonality conditions, 正交条件1 r# }3 R/ D" V# v+ U3 V
ORTHOPLAN, 正交设计
1 e! ]7 S* @2 p/ a* I) q. c' ?- kOutlier cutoffs, 离群值截断点, u- f! |) t( h3 U/ a
Outliers, 极端值
, \( Z2 b ` t/ X2 ~5 [OVERALS , 多组变量的非线性正规相关 6 }% G0 ]6 m5 f, Y P
Overshoot, 迭代过度 U8 _7 M( R |( g) n" Z& _2 P$ o
Paired design, 配对设计
4 K+ }9 G# x# vPaired sample, 配对样本# x1 ]. `* y2 y$ N- E+ {
Pairwise slopes, 成对斜率
# P# s; ?# |$ Y" e6 K0 YParabola, 抛物线
B% i0 Z1 o, q7 r, eParallel tests, 平行试验
4 @" |' t0 N/ a1 K/ uParameter, 参数 X0 g- [9 y$ a, O# D- h$ a$ u
Parametric statistics, 参数统计
[' ~2 G* O0 x! K1 V9 i. d( G' NParametric test, 参数检验0 [6 ?8 I! E1 f) o+ f
Partial correlation, 偏相关7 {/ [, A& }- y
Partial regression, 偏回归
( `$ W2 e" H7 c3 ^) KPartial sorting, 偏排序
5 `. q% h! u+ k1 D2 D) U* zPartials residuals, 偏残差
4 U& Z1 J3 q Z/ s, ^! |2 [Pattern, 模式% ^5 h* k( p. J" t9 V5 ?
Pearson curves, 皮尔逊曲线2 m, X- o! P* f. z7 Y* C
Peeling, 退层/ m* |& \2 w2 r. G9 `1 F* G
Percent bar graph, 百分条形图
+ P) D) ^6 s+ M: pPercentage, 百分比
$ F9 i1 B2 j( t3 jPercentile, 百分位数: r2 `8 B: M# i
Percentile curves, 百分位曲线. `) s& `+ U2 | e8 \: k* [, r5 F
Periodicity, 周期性( n# k9 u2 D4 U8 `
Permutation, 排列
9 ?) U% x* `6 p$ `+ y6 B, ] z' CP-estimator, P估计量4 S' R; Z, w1 [/ l
Pie graph, 饼图' m. K* U# j. b* E6 p: @
Pitman estimator, 皮特曼估计量" E; M$ ^( b u, f$ t8 X* p
Pivot, 枢轴量% T% A; R5 g+ c$ O8 t4 T G* L. F
Planar, 平坦
! A: a$ o/ D: R+ E2 ?Planar assumption, 平面的假设
; b0 ?. }4 n: P E( G6 DPLANCARDS, 生成试验的计划卡
( k9 J2 ]0 `4 \0 f3 ]3 xPoint estimation, 点估计" j) T( ~" w4 Y# a R/ j% M3 ]
Poisson distribution, 泊松分布; j3 D, Y5 t, X* g( A( R' |) G
Polishing, 平滑4 ]& b+ U( s5 g4 }
Polled standard deviation, 合并标准差. Z6 [" y: ^! ]5 L8 G1 {, D
Polled variance, 合并方差# z7 v! W" v% q; ]
Polygon, 多边图
2 }' J1 k; @+ G9 B& Z; i# ]# {Polynomial, 多项式
- C/ P& e3 `4 D$ X/ Z% JPolynomial curve, 多项式曲线% T; q$ n; C$ i; D+ {( W1 _
Population, 总体" ?% q' o& a1 L, n4 e5 T7 ?, ]
Population attributable risk, 人群归因危险度1 Y/ {3 S7 T- w9 o) I
Positive correlation, 正相关) Y* Q! F: J$ i- m7 m
Positively skewed, 正偏
+ s) p8 B4 {) p& `8 hPosterior distribution, 后验分布) v( J, q) B/ Z
Power of a test, 检验效能( j6 |* U7 P6 g7 H
Precision, 精密度
$ E, |. ?! p9 q% y2 a% r" ?) wPredicted value, 预测值' w1 {+ W* {! W
Preliminary analysis, 预备性分析
' z6 O0 U3 A7 x6 {$ fPrincipal component analysis, 主成分分析
2 h8 \4 ?; `) C# Q8 aPrior distribution, 先验分布4 o; h V8 ` T
Prior probability, 先验概率+ x) k7 Y8 _3 I" u% O5 z5 m
Probabilistic model, 概率模型0 L; h( ?) z* s! z, V+ A/ d$ Z
probability, 概率2 q& T' ?7 w9 q! z
Probability density, 概率密度8 i6 Y- o b1 M$ I
Product moment, 乘积矩/协方差
9 s) Q( s& p/ X8 o2 BProfile trace, 截面迹图6 l4 a- R5 }8 @8 H, K4 k
Proportion, 比/构成比
, N, l9 N7 h8 xProportion allocation in stratified random sampling, 按比例分层随机抽样) m; L% Y3 o a4 `2 J& L) q
Proportionate, 成比例
$ l- m( T5 ?; X1 n) N# jProportionate sub-class numbers, 成比例次级组含量
, V' Y4 W9 O; [Prospective study, 前瞻性调查( ~: i2 p, i9 o0 |! I
Proximities, 亲近性
; o( i4 F' M- CPseudo F test, 近似F检验5 K/ \5 H/ M, S4 [* [% p
Pseudo model, 近似模型
& C9 ~3 H5 _" J5 p- t5 z* NPseudosigma, 伪标准差
% C! P6 j' r4 _& ? OPurposive sampling, 有目的抽样/ p/ ?( L6 a" ?* ^* |( P7 S
QR decomposition, QR分解
# c9 E- q$ N3 P8 [Quadratic approximation, 二次近似/ o, Y3 ]5 X, y; \- X [
Qualitative classification, 属性分类$ ?, Y. S5 W. |2 r# e
Qualitative method, 定性方法
1 r' K* A1 X5 `0 o6 J! z' }Quantile-quantile plot, 分位数-分位数图/Q-Q图! n$ m" R4 \- ~
Quantitative analysis, 定量分析' j2 M& q$ |1 K' K+ |
Quartile, 四分位数 b8 y. f1 b' i! O" w p
Quick Cluster, 快速聚类7 \- o( f9 w3 V3 v$ e, d F
Radix sort, 基数排序# @3 T4 T9 _ G* b" {
Random allocation, 随机化分组1 t" W5 o! }$ ^8 i
Random blocks design, 随机区组设计9 m% Z3 @6 s, k3 }
Random event, 随机事件
: H0 O% T6 k" e" T" l6 c$ h( uRandomization, 随机化
0 \0 |. a8 s4 F9 HRange, 极差/全距+ A4 y# _' R, Q8 M% o4 }
Rank correlation, 等级相关0 Z+ r. W4 C0 U" s \
Rank sum test, 秩和检验8 E" E# ~2 v% e; L
Rank test, 秩检验 y) H8 [ A6 m% ^3 Y; W
Ranked data, 等级资料
5 t# d8 p! G& Y& f! M" K/ q, nRate, 比率
1 g9 g, t( W( h/ e! URatio, 比例% p/ R. F7 q' D
Raw data, 原始资料
3 d. k& n( v4 _6 g% YRaw residual, 原始残差' z' s) q; r! [1 ~% d* `
Rayleigh's test, 雷氏检验3 M1 x3 \/ P4 r* { B' s/ n
Rayleigh's Z, 雷氏Z值 , d+ G9 X0 d7 O% b# o
Reciprocal, 倒数
; L+ q7 d9 v, h) LReciprocal transformation, 倒数变换3 L, p* U0 k) Z* n" h: N0 V" X8 b* {/ l
Recording, 记录
% s' ?) A. e3 o( L, z8 R }& W7 _Redescending estimators, 回降估计量' ~, D8 K9 c* V6 }
Reducing dimensions, 降维! e6 {0 L$ H* e0 S m0 j( O
Re-expression, 重新表达4 X$ Y) F. E: V' M
Reference set, 标准组
2 O5 R, M- X- R0 iRegion of acceptance, 接受域+ Z% N- ?' j/ I' t9 ?, l
Regression coefficient, 回归系数
/ {+ a! [2 _9 u& uRegression sum of square, 回归平方和
; y( P% [; y* c8 p* gRejection point, 拒绝点
9 Q4 T' r& Z# v9 G: ?: aRelative dispersion, 相对离散度
* |3 _5 G& m2 _4 \Relative number, 相对数
0 v& n& e: }6 Z( VReliability, 可靠性2 z4 T+ G& j) [* {- ^$ n- G
Reparametrization, 重新设置参数
, n4 n0 j4 T9 |& FReplication, 重复
2 _$ ]1 F& b1 K& D% CReport Summaries, 报告摘要6 v P! ]: ]0 }* Y4 t; N0 M
Residual sum of square, 剩余平方和$ U) R: Z# D$ o6 J0 n) U% [
Resistance, 耐抗性& r( s6 T4 g$ m9 z' [
Resistant line, 耐抗线
. D: d% V$ F! T' c/ uResistant technique, 耐抗技术
/ y6 A* Y T/ [- sR-estimator of location, 位置R估计量3 y3 @/ O0 B6 N# \- Y
R-estimator of scale, 尺度R估计量9 `1 |, e. _8 ]
Retrospective study, 回顾性调查7 ]3 k- {1 r4 B' J }
Ridge trace, 岭迹
: U4 c8 r% {4 TRidit analysis, Ridit分析
" ~% f. A4 Z/ w4 t- ^Rotation, 旋转+ P! h6 d" w) E0 E7 W
Rounding, 舍入% z) S a( q2 I5 C9 N& @+ V' K
Row, 行7 b Q; B! o6 E! M
Row effects, 行效应( d4 l: _0 B/ v& x' a5 y
Row factor, 行因素
# F) @( p* z3 n0 u) J8 lRXC table, RXC表6 c' R% ~- G& j1 y. K% g4 t/ `+ d# m
Sample, 样本) A; @$ |* l; P1 S, Y, i
Sample regression coefficient, 样本回归系数
2 j' Z: ]: ~5 }( }* [- @Sample size, 样本量
8 w6 _) i1 @; k5 e+ rSample standard deviation, 样本标准差
, m' i Q1 M: J1 F+ W' mSampling error, 抽样误差
& G! y" Q! y* H4 r/ w5 ?SAS(Statistical analysis system ), SAS统计软件包
; E8 Z) t: z& yScale, 尺度/量表
; u3 h" a- F- _7 DScatter diagram, 散点图
5 E2 m! [5 z& N' g, Z7 R! [; RSchematic plot, 示意图/简图
{; u: u: d& L% a1 QScore test, 计分检验
# k9 f3 S v w( I/ GScreening, 筛检
% b& G3 z5 ~6 j, @. a3 H4 x% KSEASON, 季节分析 2 t: C" D9 T8 r* }
Second derivative, 二阶导数% I- ] _+ h; W& `( Z2 p0 ?
Second principal component, 第二主成分( @6 H3 O! m5 C4 T
SEM (Structural equation modeling), 结构化方程模型
$ j, @# A9 A9 N, m) O( aSemi-logarithmic graph, 半对数图& u0 W' Z; H K, U0 R
Semi-logarithmic paper, 半对数格纸
+ N U, a$ E$ QSensitivity curve, 敏感度曲线
; J) K- U/ Z3 t/ RSequential analysis, 贯序分析8 U( O4 Y% ^+ O+ S0 c2 T8 U
Sequential data set, 顺序数据集
9 l4 d( a' q4 I% q/ {/ d! i) m0 hSequential design, 贯序设计
6 N% a3 F- c) }; M6 hSequential method, 贯序法
) C7 X- ~4 n8 L! @2 n! b( I* ^Sequential test, 贯序检验法
0 X9 m r$ `( u8 a/ D/ lSerial tests, 系列试验: U0 ?5 @) c! d2 _, Q* W# |
Short-cut method, 简捷法 : y8 {7 x/ Z, H' r) s6 A
Sigmoid curve, S形曲线. m' c1 G3 {% I4 K
Sign function, 正负号函数
0 h+ K( n# o' [Sign test, 符号检验5 S5 a g0 h! b. f
Signed rank, 符号秩& B. N% L& V! a7 E- B
Significance test, 显著性检验
$ a* k( j2 z' rSignificant figure, 有效数字
. h) V6 B/ {3 W* v. H- V( NSimple cluster sampling, 简单整群抽样* M+ |" y7 V+ `* j
Simple correlation, 简单相关; M$ F0 \# H5 f: \; `
Simple random sampling, 简单随机抽样
- K% g! T8 @! rSimple regression, 简单回归. S. O; A7 [2 N4 a
simple table, 简单表9 s( b' J# y, J" d+ d
Sine estimator, 正弦估计量8 v( J- j8 p6 W5 Y" B4 ^8 i0 K
Single-valued estimate, 单值估计
( i. z$ g% P6 @/ p3 o. M- {Singular matrix, 奇异矩阵
3 H; [; C: h2 k+ J/ bSkewed distribution, 偏斜分布! {7 R/ K6 s* _$ T
Skewness, 偏度- i; N+ K! Q1 _* O
Slash distribution, 斜线分布' t; M$ V- Q) z, l0 I/ I
Slope, 斜率0 o/ p2 e& C9 s6 @% a
Smirnov test, 斯米尔诺夫检验
* ~ p; t4 Z: @( [9 @# _3 v; xSource of variation, 变异来源9 n4 |! P+ [2 Z' o. l
Spearman rank correlation, 斯皮尔曼等级相关; c4 }- t, Q' B' c! ?6 o. `
Specific factor, 特殊因子2 S+ a7 h) R$ O1 h7 X X1 g
Specific factor variance, 特殊因子方差! I3 P% u0 h: s" G. S. {
Spectra , 频谱
; G2 r. l4 m `5 b$ mSpherical distribution, 球型正态分布/ }9 J. ]* z' U/ h3 |3 Y
Spread, 展布
# h- U0 N; a5 D: \8 YSPSS(Statistical package for the social science), SPSS统计软件包
# L8 |) u/ _) [9 {& s+ V5 w+ xSpurious correlation, 假性相关7 Y) c, O! X+ \! }* g6 G& z
Square root transformation, 平方根变换; q. {( e5 q7 V4 v+ s: \: d: [# H- [% X8 g
Stabilizing variance, 稳定方差
! o& n7 K0 v5 \/ |$ x7 r/ pStandard deviation, 标准差
" Q- _& p$ J ?; G, Z9 u! MStandard error, 标准误! ^7 m6 }7 A5 R" l) m
Standard error of difference, 差别的标准误
3 F4 q3 i4 }5 f6 ?$ [3 F& `4 `Standard error of estimate, 标准估计误差
4 @1 r* \+ e, y" p+ g6 DStandard error of rate, 率的标准误; N- d! d w& ^6 [8 i
Standard normal distribution, 标准正态分布& W7 D: T6 H. R
Standardization, 标准化
0 ?6 R D- [8 J# xStarting value, 起始值
, b* j2 ], _& ^4 ?Statistic, 统计量0 z! d4 p! L; o. h1 a2 ]* k
Statistical control, 统计控制
, u8 j& L* E" }: SStatistical graph, 统计图
5 @7 G4 _" G0 ~3 w8 ~Statistical inference, 统计推断
# m2 x9 a; m& MStatistical table, 统计表 t6 L: q2 k. j. k9 S) P J
Steepest descent, 最速下降法
; r( p/ b# W$ w- I( pStem and leaf display, 茎叶图7 ]( A4 a W- R
Step factor, 步长因子- b' w1 v2 ?$ v7 z8 M# X ~ X# R
Stepwise regression, 逐步回归
% Q( W- ~+ n- @Storage, 存: [0 l# h) H5 E4 H5 j* E: [
Strata, 层（复数）
$ ^# V) Z/ N9 S& K/ PStratified sampling, 分层抽样; {3 L+ C6 x- D c1 H8 ]& s5 `
Stratified sampling, 分层抽样
3 O. R1 |# v: x5 {; |Strength, 强度
+ L' Q0 T. p2 F6 i5 EStringency, 严密性5 R3 i6 L; C/ M& R1 I4 H( W( l" I
Structural relationship, 结构关系
. I1 M/ r# x8 mStudentized residual, 学生化残差/t化残差
0 v% J9 m4 U8 G5 A6 ?Sub-class numbers, 次级组含量# A9 x8 \. v1 M# w) [4 X
Subdividing, 分割4 ?5 n3 ?( Q) J) A8 ]
Sufficient statistic, 充分统计量
, Z" N/ m+ M0 p6 }' p. s5 BSum of products, 积和; z4 @- U# `3 h, H( s, D3 o! h
Sum of squares, 离差平方和
/ o- _' o9 {# X- j4 X- C4 B, x2 wSum of squares about regression, 回归平方和
' K+ _' G9 y( e% Y4 S! kSum of squares between groups, 组间平方和
0 B& ~8 k: u* w7 c [Sum of squares of partial regression, 偏回归平方和$ w K/ c0 A6 ?& f1 `# d, g* V
Sure event, 必然事件4 s9 y) R# ]( x. V
Survey, 调查
7 u4 F G1 J6 P! e7 P$ Y7 ]Survival, 生存分析! x9 A" `( V2 ^8 U' m9 B/ W
Survival rate, 生存率
& l3 J" ~8 z% [( ~Suspended root gram, 悬吊根图2 m; n* e- e# Q8 F7 {& a6 F& W( X5 U
Symmetry, 对称, N* R, _- S0 q. V7 x4 S; X% u5 ^
Systematic error, 系统误差
( }' }. V& }( f0 n cSystematic sampling, 系统抽样
+ N+ Y; W6 x! R( @# |Tags, 标签
" v/ w9 o/ c3 }. d/ x3 T- _: vTail area, 尾部面积
* y( G1 Q6 p4 `# TTail length, 尾长
- Y( e, k/ }9 [8 LTail weight, 尾重. t* w7 _2 y; ^' A1 W
Tangent line, 切线- h" J# H0 y* V9 O) }' P8 B/ g; M* ]& q
Target distribution, 目标分布% m* v9 M' ~3 a+ g& H* ?
Taylor series, 泰勒级数
X- U7 o3 G4 L! F8 x' D: `Tendency of dispersion, 离散趋势
- r7 a4 Z$ v* FTesting of hypotheses, 假设检验
m2 Q" k2 V3 FTheoretical frequency, 理论频数, V/ P+ F {+ B9 N. V, B
Time series, 时间序列
1 h& _8 [ u: S( h; O" UTolerance interval, 容忍区间
0 a) i8 [% z1 gTolerance lower limit, 容忍下限0 a7 ?* H( u8 j- p5 N3 v; z
Tolerance upper limit, 容忍上限
! o* Y' \! \- B) E2 d: w2 r1 ~6 XTorsion, 扰率
2 v4 f. \5 E4 ]7 z2 `( O5 S9 u7 WTotal sum of square, 总平方和; c5 n7 A6 I; J4 ~) s2 v
Total variation, 总变异$ y0 v: d! h9 o7 B2 `# ^9 p9 c
Transformation, 转换
) }' W' O! W5 _+ E: S' dTreatment, 处理. X. a# D+ t5 Z$ I2 T4 I$ ]2 X
Trend, 趋势: W7 Q$ j% n# O$ B) w0 D
Trend of percentage, 百分比趋势
8 S6 w$ _4 C/ g) L2 _4 DTrial, 试验
! D8 J6 {! ]# [0 u/ ^Trial and error method, 试错法
& G6 d( L& F# }( q* @Tuning constant, 细调常数9 m) f8 Z; f& s) Y1 V
Two sided test, 双向检验0 W& m$ P; Y1 I8 A! s
Two-stage least squares, 二阶最小平方
l+ O: B L4 t8 T) u' }, V1 g, }1 PTwo-stage sampling, 二阶段抽样+ e1 g z& E! A# ^; m: P; m# Y
Two-tailed test, 双侧检验
3 g. ^0 L+ X" {) h2 dTwo-way analysis of variance, 双因素方差分析
0 D# V3 f+ Q7 u: mTwo-way table, 双向表" U$ s' l" O; d ^8 I8 T; a
Type I error, 一类错误/α错误
$ o, w. d6 I" uType II error, 二类错误/β错误
* t7 L$ k& Y4 `9 ?5 iUMVU, 方差一致最小无偏估计简称
+ i( J' d% v" }5 {. BUnbiased estimate, 无偏估计- R: h6 ^2 t0 z$ \; o+ S$ b6 y
Unconstrained nonlinear regression , 无约束非线性回归
! m& X' g% a# K: g4 a& _Unequal subclass number, 不等次级组含量' Y, @1 M3 ^2 g/ p* Z
Ungrouped data, 不分组资料+ s/ ]- w& f8 G6 a
Uniform coordinate, 均匀坐标6 P6 Z. E& y5 G" c& t
Uniform distribution, 均匀分布
: e+ }. y, r# w8 J2 G7 U5 I1 |Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
3 G/ l/ ]% b9 F! }Unit, 单元4 a# M3 c4 K5 P0 ^, D
Unordered categories, 无序分类
: `: \* H- }1 r( N8 r/ y' @9 DUpper limit, 上限
- X9 {! H6 |, u/ `" T" ^( O( m" gUpward rank, 升秩
) n. c" I( r9 S% e, T' n0 ]0 XVague concept, 模糊概念
5 b# S6 H3 r5 {6 GValidity, 有效性/ g y1 d5 Y( y8 Q
VARCOMP (Variance component estimation), 方差元素估计" r4 B3 F% ^1 H) e/ O% l8 Z
Variability, 变异性$ S! a& s! i! a) X
Variable, 变量: N/ Z" }: E) b, ]
Variance, 方差. h2 e0 S0 S4 |7 Y1 ~
Variation, 变异* _% R8 j7 g9 w. j1 H
Varimax orthogonal rotation, 方差最大正交旋转) H* K1 c. Z" K! C- b5 Y: [( X
Volume of distribution, 容积
* g- n2 E9 u p+ B$ J8 \W test, W检验
4 @9 ?' e# E0 v- \# O% BWeibull distribution, 威布尔分布! v8 h, ^# _% n7 `+ W
Weight, 权数 D+ g; h& F/ ~: X7 O! X; r4 z
Weighted Chi-square test, 加权卡方检验/Cochran检验* v- Y2 }# Y. W' \/ x Q' T
Weighted linear regression method, 加权直线回归: t; M+ C6 q7 @3 u7 @& Z$ w
Weighted mean, 加权平均数0 I8 o+ C; N. Z* e
Weighted mean square, 加权平均方差/ B; n5 ?( m9 x4 q; i) k% E9 e+ J
Weighted sum of square, 加权平方和
, ]" K" Q$ D% F O; q* @Weighting coefficient, 权重系数+ V: g+ z7 b- }+ _" A% o9 K0 W1 ?
Weighting method, 加权法
4 U3 P# k1 K0 L3 Q8 J" d bW-estimation, W估计量
2 Q$ j' f! U: d8 W( JW-estimation of location, 位置W估计量
* f6 ]& Y7 o4 V N- S, ~7 EWidth, 宽度# A6 s, f2 Q1 s; Y: y) W/ n
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验7 s2 k0 J- U6 n/ x* B6 D& F
Wild point, 野点/狂点
" z; V. m, `6 Y4 V8 L' m4 q2 t5 RWild value, 野值/狂值! D5 i; ^' d" V( ?+ ^- d
Winsorized mean, 缩尾均值
4 b7 L7 H( Q% dWithdraw, 失访 / g1 z. y3 ]$ i3 ~# }& V) ^8 C
Youden's index, 尤登指数! h1 D5 L) ~# f2 A5 g: B7 I
Z test, Z检验+ q0 s( h0 y+ h) l ` w
Zero correlation, 零相关% k$ ?5 {- T4 N; a
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
