|
|
Absolute deviation, 绝对离差
0 e2 \! J3 c) Q. `4 L# W0 V" RAbsolute number, 绝对数6 O7 @4 ~9 F5 P
Absolute residuals, 绝对残差
k6 j9 ^0 ]5 E z6 L$ kAcceleration array, 加速度立体阵
/ M* A9 G! h" f8 C2 gAcceleration in an arbitrary direction, 任意方向上的加速度
5 ^( ~/ Q; d5 f8 n+ H8 `; } V; _Acceleration normal, 法向加速度4 O: [$ y& V" x; G) M9 f
Acceleration space dimension, 加速度空间的维数& {6 o, y1 E. l+ _# U: i
Acceleration tangential, 切向加速度! L6 s0 u! ?! ^* M1 u/ u% S/ u7 k
Acceleration vector, 加速度向量4 j: y! ?3 j' W* Z; W
Acceptable hypothesis, 可接受假设' [) A' s! Z7 ]4 A8 H J
Accumulation, 累积
( x3 B7 r7 F. @6 H3 ^Accuracy, 准确度3 r/ U( P7 C0 {2 n
Actual frequency, 实际频数/ |" M: J5 B! r" ? q
Adaptive estimator, 自适应估计量
! y1 W. [1 y U+ k3 oAddition, 相加
& ~2 @- C3 Y, ~2 }- ~4 CAddition theorem, 加法定理. e7 r1 Y- e4 N$ ?7 c& s1 r2 Q
Additivity, 可加性
$ }& Z% G; n3 D- U2 e; T* R+ B A9 qAdjusted rate, 调整率
9 Z# F& X: T2 m8 @! o8 E$ e$ bAdjusted value, 校正值
[& Q' A, y9 O0 `! |Admissible error, 容许误差; T9 u2 T$ ?5 |! B! ^; k# }
Aggregation, 聚集性
! r* |5 H$ s* ?* k4 h4 |Alternative hypothesis, 备择假设
- ~) L* J* n" A4 C# u8 jAmong groups, 组间7 e: x* l% N/ [& M" {# E
Amounts, 总量
- ?( G) m; y1 f/ u5 k. N- x ZAnalysis of correlation, 相关分析6 W. E' a* }! `7 i6 u
Analysis of covariance, 协方差分析
; x* `8 i% ^$ {4 vAnalysis of regression, 回归分析9 x5 ?& I' H* O+ ^' [; z
Analysis of time series, 时间序列分析7 Y. u' _1 z- u' H( b
Analysis of variance, 方差分析
0 W+ b1 b: a: n6 rAngular transformation, 角转换
- S/ d- V( a3 i: y: K8 |ANOVA (analysis of variance), 方差分析
8 A6 I/ |* S+ k* aANOVA Models, 方差分析模型8 F/ Z+ r, g2 |, b2 X5 Y5 ^
Arcing, 弧/弧旋
. \$ T3 A' W1 z( QArcsine transformation, 反正弦变换
7 X5 R- V9 l* Y% `: x! ~Area under the curve, 曲线面积* o6 g& m q- o$ K' V6 [
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
6 Q8 {3 R* h. UARIMA, 季节和非季节性单变量模型的极大似然估计 + A: B9 Z6 q2 D9 t8 q" s
Arithmetic grid paper, 算术格纸
* y5 v- H5 y( k" F) Z6 _Arithmetic mean, 算术平均数; ^' l" A- s U0 U7 r
Arrhenius relation, 艾恩尼斯关系8 h+ \4 x: o( y; o
Assessing fit, 拟合的评估; ^# R5 x( V' v5 A$ B3 G4 h. j, W
Associative laws, 结合律
% Z$ t/ O: p7 ]: XAsymmetric distribution, 非对称分布
2 x7 N' ]9 H& Q3 L2 }% L* jAsymptotic bias, 渐近偏倚' t+ D3 {: i4 }8 Y* b2 a6 N
Asymptotic efficiency, 渐近效率
# o* I2 x8 M) C2 J+ U4 cAsymptotic variance, 渐近方差# n3 B" [; c% a# D. `' G2 K6 K
Attributable risk, 归因危险度7 d3 C" l- r6 m) U& I& Y
Attribute data, 属性资料& t3 ^+ H- [: E1 R! b4 q1 N
Attribution, 属性
3 y7 W' {5 @( {5 w* X) H7 e1 tAutocorrelation, 自相关
) c! u! Y+ R/ ~ ?: l9 a5 F" y$ B! tAutocorrelation of residuals, 残差的自相关
2 A6 C+ r: g# t k6 uAverage, 平均数" e8 n6 Y6 z+ q$ L' W1 S
Average confidence interval length, 平均置信区间长度3 M% m/ V6 z- C# o% U
Average growth rate, 平均增长率7 [+ E# f7 S% a5 r# B7 _2 I
Bar chart, 条形图
A/ u% M ~3 f4 v+ m q$ TBar graph, 条形图
/ k H8 ]3 Z# F4 V9 NBase period, 基期
) g6 Q( A$ l: h0 h: LBayes' theorem , Bayes定理 h; U, x' V) j2 N9 T8 l6 W& z
Bell-shaped curve, 钟形曲线
( Y3 ^5 k, e' @- T6 sBernoulli distribution, 伯努力分布7 f( {4 x- k4 G9 f* B/ O) p
Best-trim estimator, 最好切尾估计量
3 u: a$ @: V( B$ gBias, 偏性, m8 `- K0 M5 ~+ U# p* |% `
Binary logistic regression, 二元逻辑斯蒂回归. L# O: j, w, T8 g7 t
Binomial distribution, 二项分布% S% j/ p" w+ b, L/ H4 ?
Bisquare, 双平方
# l$ `( _9 x! |Bivariate Correlate, 二变量相关7 ?5 w1 p) H+ k. i+ ]& m& Q
Bivariate normal distribution, 双变量正态分布1 Z n8 i8 \( z y! d
Bivariate normal population, 双变量正态总体
% h1 Z |+ C+ ]+ x* ABiweight interval, 双权区间
, N6 o. V, u& u# U: WBiweight M-estimator, 双权M估计量
2 Y9 M+ n9 U9 @) \( ~" IBlock, 区组/配伍组$ B+ k4 \6 S! L
BMDP(Biomedical computer programs), BMDP统计软件包
" `7 v; t, e0 ?5 l& mBoxplots, 箱线图/箱尾图
- k9 h3 ]3 M' N) U& uBreakdown bound, 崩溃界/崩溃点
. J9 Y3 v8 ]: h' D: L! hCanonical correlation, 典型相关3 y0 f1 u) B/ j; u6 U5 P' D
Caption, 纵标目7 z) |7 G5 f6 K7 V: q5 O s
Case-control study, 病例对照研究' n' {( q4 w% d9 H/ Y' p% l
Categorical variable, 分类变量
1 |; E6 t! ]! Z) N( R+ J$ nCatenary, 悬链线( P3 j; @$ q4 i
Cauchy distribution, 柯西分布: y ]6 O3 _) U. I- d9 d
Cause-and-effect relationship, 因果关系 i a8 k5 b( L3 Q
Cell, 单元/ `2 V0 q0 S: A2 L3 C f, `/ |
Censoring, 终检* w6 L* G O4 i: j
Center of symmetry, 对称中心
) _0 y* w$ D* O9 O* {5 |/ @Centering and scaling, 中心化和定标
; u8 j6 W' N8 A9 u+ O% gCentral tendency, 集中趋势
3 k5 i' L& l2 ^: ?$ D: yCentral value, 中心值' }% A3 _& g# o& Q
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测, j- j0 X; p) Q& x! l' c( C' S
Chance, 机遇
/ O- ]& h) ?* v3 V% M {4 k; gChance error, 随机误差9 |. m2 M7 N M s+ A
Chance variable, 随机变量
6 X, L# ^8 }) a8 ^6 }5 f# ~* jCharacteristic equation, 特征方程
3 l- x, P+ R) S2 I' ?! |# q5 ]Characteristic root, 特征根) O& {1 w. U2 x2 I1 V0 z/ V
Characteristic vector, 特征向量
' ?" @1 `1 `1 s& L" n5 NChebshev criterion of fit, 拟合的切比雪夫准则
! \2 C: s) @8 j3 O* |Chernoff faces, 切尔诺夫脸谱图
I2 I; ~7 P) U- [Chi-square test, 卡方检验/χ2检验+ t- a# |& D i1 S7 `% g% n
Choleskey decomposition, 乔洛斯基分解6 [9 H8 X( s+ U: X. A% [) S
Circle chart, 圆图
2 }) w" F% L7 {& _# SClass interval, 组距
7 V# a- z; @. P* {+ i i9 O: {8 nClass mid-value, 组中值
1 G# p. @9 Z2 b; nClass upper limit, 组上限
: Y6 ^7 a9 F8 ~* v& M a8 kClassified variable, 分类变量, k( ^' @1 h# V
Cluster analysis, 聚类分析* {9 y% G. ?5 D w1 s. e
Cluster sampling, 整群抽样" o4 k# A1 E) m3 o7 @5 d
Code, 代码, A2 M/ ]( {& x9 { V
Coded data, 编码数据
5 x0 H4 O* t& ?* s# ^7 f+ G! LCoding, 编码
" V9 C6 j i [ D6 oCoefficient of contingency, 列联系数
6 j$ f3 y) E, H) K* iCoefficient of determination, 决定系数( R5 m& w# N( D4 d& y
Coefficient of multiple correlation, 多重相关系数" w! ?1 d8 x( Y. y) O& i5 E
Coefficient of partial correlation, 偏相关系数5 a4 h Z" C! D6 i: D4 c: k2 S/ T
Coefficient of production-moment correlation, 积差相关系数
# x" x# y! ?: S( d4 H: i" m! oCoefficient of rank correlation, 等级相关系数
6 n) A5 I, f+ j2 l; r8 XCoefficient of regression, 回归系数
U" K/ f7 K" e! e( u+ Z* uCoefficient of skewness, 偏度系数
6 ^) S' {* y1 [% W$ {6 v& d: aCoefficient of variation, 变异系数
5 g( ?5 R0 Z8 h/ t1 l5 X& J8 {# ?+ JCohort study, 队列研究
4 b4 A( D9 N% C' LColumn, 列
0 {# i" R: q! Y( E. B! q, J7 d( \( T/ |0 ?Column effect, 列效应; S% v" _! o: p+ K+ J! X
Column factor, 列因素1 X p/ ^$ j/ j/ {' x) }3 N
Combination pool, 合并' r$ V$ U: v$ E, w* ^
Combinative table, 组合表 s" V+ l+ k; X
Common factor, 共性因子
9 f6 O; e2 i* p" ?; l/ s+ [Common regression coefficient, 公共回归系数$ o) z1 t: D* x$ ^. q/ H
Common value, 共同值- e& l- f/ D7 _! d1 D
Common variance, 公共方差7 o/ p( U9 f; s) n
Common variation, 公共变异& M5 t& D( i3 u }+ k
Communality variance, 共性方差& x" Y E. i/ n2 ~
Comparability, 可比性8 {) e' |- c7 e
Comparison of bathes, 批比较
9 s. l' t2 E" i5 x+ i8 `Comparison value, 比较值. B# f6 m. _5 m6 L, z
Compartment model, 分部模型) s+ A5 ]/ A2 ?& W
Compassion, 伸缩
% c7 @ b4 j1 SComplement of an event, 补事件
/ \8 T: u- j# ~0 {" F, N9 LComplete association, 完全正相关
5 W! U/ e2 k9 Y5 X, p4 }Complete dissociation, 完全不相关
0 N2 I; o7 ~/ a7 t5 _5 r, ~Complete statistics, 完备统计量+ Q( ~$ t+ }; p3 o8 v: w" I
Completely randomized design, 完全随机化设计
7 D' w% `8 b8 d6 C+ Q2 ]Composite event, 联合事件; ]# d5 |6 @( l7 C/ l3 |! |0 h
Composite events, 复合事件
' G2 j$ Z3 A) L* a% J$ a$ b& xConcavity, 凹性9 {$ ~$ V5 V6 N, M- O
Conditional expectation, 条件期望
5 h' k4 |+ ^) s' Z; V; {Conditional likelihood, 条件似然4 f, R. F1 [3 [: d$ `, I
Conditional probability, 条件概率; P/ t) f. p3 f
Conditionally linear, 依条件线性
$ ]5 S5 u: A9 h" N) S! F) yConfidence interval, 置信区间1 Z2 `# N! B1 v4 ~4 E1 r' c
Confidence limit, 置信限
& r! p% J. N1 t' s$ j, aConfidence lower limit, 置信下限3 c, j* j% Z; A; y% y: g' n
Confidence upper limit, 置信上限
4 M$ G( P( g; GConfirmatory Factor Analysis , 验证性因子分析5 F5 |* ]$ [- R, J3 W$ s
Confirmatory research, 证实性实验研究% h6 p2 b+ B" B! D% x0 J8 H* q
Confounding factor, 混杂因素
6 W' ~7 {/ ?! W% t; N: a4 f7 ]; JConjoint, 联合分析
! I% O4 ?' I1 l4 V" fConsistency, 相合性
7 c- D2 r2 i4 @) y, F, [* ZConsistency check, 一致性检验; x: |+ Z4 T9 l% P8 g' N9 l
Consistent asymptotically normal estimate, 相合渐近正态估计
: U3 }# J! a1 w& yConsistent estimate, 相合估计
) T5 f+ u) ?6 u3 PConstrained nonlinear regression, 受约束非线性回归( G4 O2 U& v* h
Constraint, 约束
/ R. q: f: l9 s: e* M# r5 b2 hContaminated distribution, 污染分布
6 q3 J l% `3 p* k# I$ D B4 O$ K3 VContaminated Gausssian, 污染高斯分布! n) I% A" [5 @: n, B5 @1 b7 @! H
Contaminated normal distribution, 污染正态分布2 A2 g9 q+ z& c d7 [4 K- O
Contamination, 污染1 \) L% A) z: J
Contamination model, 污染模型 |. k5 {' J, u9 L B. j i+ D
Contingency table, 列联表( v' n, [* u' n, e
Contour, 边界线+ ~2 g, c# k6 h" U# a+ {
Contribution rate, 贡献率3 L( M2 M# l5 \! W* u. ?: r
Control, 对照" ~. o3 U8 [( f2 ]5 u! \6 x; [
Controlled experiments, 对照实验2 M0 d9 D3 q; u* C
Conventional depth, 常规深度
, [: z% W8 J, l" i, A5 v8 Q9 \4 BConvolution, 卷积* z' ?* w0 x/ m" a0 k4 O2 P# y
Corrected factor, 校正因子
4 k/ ~# E9 T5 A# RCorrected mean, 校正均值
O' ^& P$ Q* T' ECorrection coefficient, 校正系数
' G5 g5 q" A5 g& ICorrectness, 正确性
5 r8 ]3 S9 I; {/ M+ a: ]/ [3 kCorrelation coefficient, 相关系数9 O& Y5 S2 n* `1 m
Correlation index, 相关指数6 u) u6 |, U9 j, N
Correspondence, 对应
8 v. i% [: k" X/ _. ECounting, 计数
7 D* a5 J; ^# g# H2 uCounts, 计数/频数
; Q. c& p1 B$ p: iCovariance, 协方差
- m/ o4 c p1 A5 ~/ r) t- fCovariant, 共变
" B, H1 ?; p RCox Regression, Cox回归9 M- t3 t6 l* d3 t% G
Criteria for fitting, 拟合准则# e! j" {1 \6 M) u# v. _, f2 ^+ w6 G* ~
Criteria of least squares, 最小二乘准则7 w/ H3 K0 z) h0 d* u7 W1 T
Critical ratio, 临界比
; G0 P5 K6 I& m7 ~9 j: k- DCritical region, 拒绝域* L1 ~& f" j$ t0 g1 A( n* ?
Critical value, 临界值
1 _3 q; E: x; n: I3 ]Cross-over design, 交叉设计3 I, W1 K! i' h! o* F: V# }9 J: s
Cross-section analysis, 横断面分析
( J# h `- P4 [3 ] e4 l" KCross-section survey, 横断面调查) Z3 x7 p- H+ ?1 A+ ^, C
Crosstabs , 交叉表
/ |9 X+ q* ?! {0 F1 o3 pCross-tabulation table, 复合表
4 N3 c9 X# [0 c, wCube root, 立方根
/ W- A7 K4 {2 W7 @7 L3 ^Cumulative distribution function, 分布函数* A. Q# Q/ V( S$ a4 X; p' Z$ C
Cumulative probability, 累计概率: v' q% K0 I7 k J6 e, r$ F
Curvature, 曲率/弯曲" R7 ?, M+ e* h" ?; \6 |- S
Curvature, 曲率
4 V# b% O. Y' `$ J- rCurve fit , 曲线拟和 - ]$ Z# m% U6 ?" Y5 U% |; Z
Curve fitting, 曲线拟合
+ `. J3 n; Q7 e1 ?8 O4 W% {! zCurvilinear regression, 曲线回归
3 o1 b' d* i# OCurvilinear relation, 曲线关系+ j M6 x* q, J: Z
Cut-and-try method, 尝试法# _* C8 z* D% A0 J' M
Cycle, 周期2 O: R3 z1 P4 U# k4 \
Cyclist, 周期性
8 X1 |7 Z, L$ cD test, D检验
) w4 b& X4 v7 Q' g0 s+ e7 s% MData acquisition, 资料收集7 ^# {/ h8 D3 e/ C$ E- [
Data bank, 数据库
+ I' N6 ^2 ~" s( F8 tData capacity, 数据容量
8 h7 Q2 c4 u% W( N$ D; ?Data deficiencies, 数据缺乏, o$ ^& ^7 m# [- k8 ?& `/ \
Data handling, 数据处理
; L4 S( O v! t- z4 ~* B/ g+ cData manipulation, 数据处理; P0 R T7 n3 {% i9 @2 |
Data processing, 数据处理
" l' m0 X2 Y+ U$ g* Y' C/ {Data reduction, 数据缩减6 C1 H3 X- U# J
Data set, 数据集" W; w/ P2 `- t4 i9 Q7 X
Data sources, 数据来源
; o- s5 r9 e j0 w9 S2 sData transformation, 数据变换# \% C6 _. [! b% F
Data validity, 数据有效性
+ V0 k! g7 [! X0 a( I+ z! `) eData-in, 数据输入
3 g6 ~ x- d6 HData-out, 数据输出
3 {. f6 ~$ a7 u! P* e( k" g8 S/ u9 kDead time, 停滞期2 Y$ P; C* `3 ?$ y; E
Degree of freedom, 自由度
5 `1 w1 H+ B3 `7 tDegree of precision, 精密度, t; a* U3 J5 f3 H" p Y
Degree of reliability, 可靠性程度
- M+ J+ I: q; `Degression, 递减& F& `! P# @" i9 S% i
Density function, 密度函数
, a: f. @" g$ V* vDensity of data points, 数据点的密度
H) O# V2 Z4 g$ X3 c" X) z `, vDependent variable, 应变量/依变量/因变量
- M- M* a5 D6 O# L% _2 TDependent variable, 因变量4 I( b% b+ R! c0 |3 c. [$ p0 A
Depth, 深度; _! q! N2 P2 h: |. Q. V5 X; O8 ]
Derivative matrix, 导数矩阵) `, W$ i8 X) n: ^2 q( j: z
Derivative-free methods, 无导数方法4 L- q$ g) [& t1 f
Design, 设计/ B4 A8 g! \- K0 M6 v2 ? K( n
Determinacy, 确定性3 @. v. c& C$ w, L
Determinant, 行列式6 Z- d7 w, N& k% H
Determinant, 决定因素6 k) d) U t( {0 b- _/ K& F
Deviation, 离差
1 v y% J4 `% P. NDeviation from average, 离均差
; {& x2 [. R9 ?, MDiagnostic plot, 诊断图$ I! C0 @% h7 Y' V! B5 q" g
Dichotomous variable, 二分变量
" K) P6 _! B3 Y% e4 n$ mDifferential equation, 微分方程$ B2 c! x3 x) o
Direct standardization, 直接标准化法1 ]' W, \+ W5 J& [$ D' v) e |% N7 o
Discrete variable, 离散型变量
9 T& L, `* |( ~DISCRIMINANT, 判断 " N5 v% W: d2 h& e$ r8 A
Discriminant analysis, 判别分析# E; C, T% [- e; |+ |3 A' t
Discriminant coefficient, 判别系数3 x) Y6 w/ Z1 T5 f* n
Discriminant function, 判别值
0 r$ O* d" Y" O$ {8 S/ ]Dispersion, 散布/分散度7 B2 n( ~ J: f0 d* s
Disproportional, 不成比例的
) C: J0 h1 V8 nDisproportionate sub-class numbers, 不成比例次级组含量
1 U/ X; k" ]) L9 `Distribution free, 分布无关性/免分布
. d# y, }( i; c: S2 H( M2 XDistribution shape, 分布形状
_4 O- D: u; M* v w6 c2 J* L5 g% gDistribution-free method, 任意分布法
6 P. H# X5 q7 y6 Y1 `/ {Distributive laws, 分配律
/ d4 x, {+ Z2 T( j2 n {& A. zDisturbance, 随机扰动项' j8 g: h0 v/ v
Dose response curve, 剂量反应曲线
+ \2 h) K/ X. ^# B' ZDouble blind method, 双盲法
! [) X! n, d; Q& oDouble blind trial, 双盲试验
2 k: b' }, N. X1 `Double exponential distribution, 双指数分布
+ t7 L9 G! ~% p& C& M- JDouble logarithmic, 双对数
7 Y" x/ H. l' v2 I; I3 P0 ^Downward rank, 降秩1 z% I7 e+ } G( f# m
Dual-space plot, 对偶空间图7 O' v* h; N3 |5 y" o
DUD, 无导数方法( b( O* z0 c p
Duncan's new multiple range method, 新复极差法/Duncan新法
: P+ P; I: X# S) \% f$ ^Effect, 实验效应) E2 ~7 w+ R" s' { e/ a# Z. R
Eigenvalue, 特征值- y d: S2 H5 |% `
Eigenvector, 特征向量
/ `' P0 o5 Y& C$ F7 q) d$ QEllipse, 椭圆 S# p' a7 H, z. v0 n X# W
Empirical distribution, 经验分布
+ S) e, x# R4 ^6 ] jEmpirical probability, 经验概率单位
8 Z5 L: f+ a, h" ~/ F- C7 tEnumeration data, 计数资料
' a* W" e9 ^8 GEqual sun-class number, 相等次级组含量1 M6 x/ a0 q0 d$ M
Equally likely, 等可能
% c6 m2 L/ h( i& l; ]# ? p/ w$ FEquivariance, 同变性0 ?: c$ J, t! G& l) m
Error, 误差/错误7 }1 B4 g, R- q
Error of estimate, 估计误差
* Y1 i v; \, T& ]) l+ dError type I, 第一类错误: }8 s+ t. T( @5 O
Error type II, 第二类错误( M' E/ M* _- s
Estimand, 被估量
% H* D' T5 i9 \- j4 M7 N' WEstimated error mean squares, 估计误差均方1 k# I5 d( }0 H
Estimated error sum of squares, 估计误差平方和5 ]1 ?" z0 J% ?# }
Euclidean distance, 欧式距离 ^7 b- F6 p: k6 V) b% U
Event, 事件5 H9 z, ~6 ^; P B9 d9 U
Event, 事件
" v" h; f' T7 S& rExceptional data point, 异常数据点
- \4 i4 Q9 A" _( e2 D: {4 h% yExpectation plane, 期望平面+ F w; e+ r( V# H/ }( N
Expectation surface, 期望曲面
* a; e* z/ E) S) J. _: F5 L! cExpected values, 期望值0 b" M' \- x8 g9 y! Q; h" q! a5 R
Experiment, 实验; I, I+ C! g3 Q: D) Q3 f8 t1 O
Experimental sampling, 试验抽样+ p$ K% ^$ I; p1 K. Z; B% l7 m
Experimental unit, 试验单位( x* |6 M7 Y% p) k {5 S
Explanatory variable, 说明变量! P) C% k, e6 p0 t; I7 Q. ~& v
Exploratory data analysis, 探索性数据分析
1 X1 |& A5 Y4 E% |. b0 rExplore Summarize, 探索-摘要
' S* h5 M8 J+ b, z6 \( U1 ?* ^ i5 KExponential curve, 指数曲线
+ F: `% a4 h! k& dExponential growth, 指数式增长; D! A2 R6 G) r z$ _
EXSMOOTH, 指数平滑方法 ' V2 ^- ~: `$ |8 }" H- z8 ~% b
Extended fit, 扩充拟合' V8 Y; w: g% I
Extra parameter, 附加参数
7 S, E2 O0 P; q; n+ c* }% S- ?; Z# OExtrapolation, 外推法
- W( H$ n) x9 N6 v/ i5 i0 SExtreme observation, 末端观测值% Z8 G, Z$ b$ H' ?, K: o0 ~$ ~, b
Extremes, 极端值/极值
4 \% r. d* T* h, z6 B% TF distribution, F分布
5 n. W8 {3 T" tF test, F检验# ?9 C/ v! v& n) s& @
Factor, 因素/因子3 N$ S5 O2 n# H2 t, k& u; @9 Q
Factor analysis, 因子分析 ^" z7 H7 ]; U* w0 J7 f" e @
Factor Analysis, 因子分析
+ S K$ {) h- w, H, [, ~% bFactor score, 因子得分
M, Z3 S8 V1 k: [( r9 I. |Factorial, 阶乘
& H5 F; v+ K# R8 AFactorial design, 析因试验设计4 q F% A$ N; Q# x$ o+ |9 A
False negative, 假阴性4 |6 M6 Y) j/ k% a" c) Q4 J
False negative error, 假阴性错误& ~' u; D) t4 {- M( j
Family of distributions, 分布族1 [5 Y2 R8 ^: T9 M. [* O4 q" J6 F8 c
Family of estimators, 估计量族
* C1 m5 B6 B. cFanning, 扇面
0 a A2 [) u' H2 t" hFatality rate, 病死率
6 O! l5 I8 _2 K, t0 j6 E8 q! ^Field investigation, 现场调查, J( W# F7 R1 Q. c
Field survey, 现场调查
0 b) w: I/ x6 B5 ~1 R7 j) \+ hFinite population, 有限总体
( L4 \/ ^. Q3 W! L2 QFinite-sample, 有限样本- P3 X0 X1 I w" a
First derivative, 一阶导数
9 {# M$ Y% n5 S0 Y6 E. {2 L. N. `First principal component, 第一主成分
/ k* d3 L0 o: u( }$ fFirst quartile, 第一四分位数
" q0 M v& z7 YFisher information, 费雪信息量
$ B, m6 W0 f6 C$ T+ d8 D) vFitted value, 拟合值, c1 q9 [4 g9 R, i ^2 x
Fitting a curve, 曲线拟合; L2 X9 l) n2 `- F
Fixed base, 定基
$ Z' o* T/ M7 F# @) B% ~" q0 gFluctuation, 随机起伏
0 Z3 i7 Y1 w* c. c; s* I2 ~5 iForecast, 预测
- y4 ^4 L/ s5 kFour fold table, 四格表
* ?: r% a, Y6 j" H: Y& kFourth, 四分点
8 [+ n1 `* G% Q( f) i- ^ d7 X' r6 Z4 MFraction blow, 左侧比率0 j, M4 L2 M1 ~) Z+ |& r6 @
Fractional error, 相对误差: V+ C' t) m6 b9 _* ~3 e
Frequency, 频率4 y( G4 V( H/ S' [. }0 J& Z7 _: R+ @
Frequency polygon, 频数多边图
! |1 g# k) G9 `: [1 JFrontier point, 界限点1 g5 j2 u! s+ X( r- J
Function relationship, 泛函关系: r# P9 z+ ?! s
Gamma distribution, 伽玛分布
% p7 j! j t1 x( s' x- SGauss increment, 高斯增量9 f. m3 H+ `8 P; C. D
Gaussian distribution, 高斯分布/正态分布
6 b9 o8 K, g* b; jGauss-Newton increment, 高斯-牛顿增量0 P+ `/ ^3 K0 H) z0 v& F4 } i* t
General census, 全面普查6 Q e. ~) R t( n/ h$ F& M( c
GENLOG (Generalized liner models), 广义线性模型
3 ]3 ^& M7 U, U$ sGeometric mean, 几何平均数) F- R) y# c: G0 ~% A, u8 x
Gini's mean difference, 基尼均差
5 Z) Q! N& l9 y, L, J& eGLM (General liner models), 一般线性模型 7 G. x5 J% l( m. }. d( ^
Goodness of fit, 拟和优度/配合度) J! g" d. f3 c3 R3 S: S+ C
Gradient of determinant, 行列式的梯度
6 k( ?4 @/ x$ ^& C& v! V" L; uGraeco-Latin square, 希腊拉丁方/ K( U3 k/ m) Y) |( c/ l6 ^ f
Grand mean, 总均值9 K6 }, a2 i& Z7 ~* X1 ]
Gross errors, 重大错误( r) p) s. n) Q( S7 M& L
Gross-error sensitivity, 大错敏感度1 X" C0 Z$ C( Z7 `' A" U
Group averages, 分组平均: @6 Z/ ]: C9 _
Grouped data, 分组资料6 b7 P4 G) ]. @' L
Guessed mean, 假定平均数
/ v: D( B& w: S% L0 N$ QHalf-life, 半衰期3 k: r5 A5 h3 u5 Y9 q2 z
Hampel M-estimators, 汉佩尔M估计量
9 ?5 p5 o$ l" w. ]) SHappenstance, 偶然事件
! E; J0 i, N( L" m3 f ]Harmonic mean, 调和均数
; q, o1 s5 q1 T QHazard function, 风险均数
' p" I, @/ f h# e/ P5 EHazard rate, 风险率
* [$ |' Y+ c' ]# C5 nHeading, 标目 + W7 ~6 E, O. F ^3 x' `& i- K; M' K
Heavy-tailed distribution, 重尾分布3 G9 K5 e6 W6 j/ k; `, A
Hessian array, 海森立体阵
7 T- d$ x) ?+ c+ m: S/ |, ZHeterogeneity, 不同质6 R4 l5 b; E5 O
Heterogeneity of variance, 方差不齐 8 K- J/ @% c$ ^* H, @
Hierarchical classification, 组内分组5 }, x+ [7 B" M0 l' p% N
Hierarchical clustering method, 系统聚类法& j* b! c9 C9 s: \, u3 C8 g. f( u
High-leverage point, 高杠杆率点
4 o8 Y/ i4 _. Y: P5 UHILOGLINEAR, 多维列联表的层次对数线性模型* Q( b3 w0 b9 s& Y2 l$ T( M9 ]
Hinge, 折叶点
t# C5 K( v8 }Histogram, 直方图4 h: H2 e. k% ]7 v9 u3 y
Historical cohort study, 历史性队列研究
( ?! b8 x$ L* A/ G! zHoles, 空洞! y/ A, S+ F" i# g
HOMALS, 多重响应分析
+ y7 v7 v' o) N5 pHomogeneity of variance, 方差齐性( C( d# r q, B) _( L% N* Q
Homogeneity test, 齐性检验
. N$ X- C2 X, O# a9 s9 QHuber M-estimators, 休伯M估计量
0 ?9 D! q* ^" zHyperbola, 双曲线$ A8 @ w$ b1 N0 b5 l
Hypothesis testing, 假设检验2 V9 Y! ?5 B( ^
Hypothetical universe, 假设总体6 d. j; n/ n+ Y* @3 V
Impossible event, 不可能事件
6 d& m0 J% ^( u: |# G) k9 O, H) {Independence, 独立性. B( @/ P3 I& R9 z0 |& f
Independent variable, 自变量
6 j5 D' \" ^( w7 EIndex, 指标/指数
0 G9 b7 f6 j& X* Z. SIndirect standardization, 间接标准化法& I& c0 w0 d1 j
Individual, 个体0 S5 t8 w8 W* u, c. X
Inference band, 推断带3 b* g1 W4 L x1 N/ _8 w6 {
Infinite population, 无限总体
5 j) A! j# C" OInfinitely great, 无穷大
5 s3 }% l9 J, {9 {+ T# sInfinitely small, 无穷小' Q0 W. |. ]! m/ @+ l
Influence curve, 影响曲线9 H8 B4 ?- K) Y5 u
Information capacity, 信息容量
8 |1 Y; o5 c6 P; z7 `Initial condition, 初始条件" I1 z) w7 ]- F) C! L
Initial estimate, 初始估计值
3 p& }# U6 K8 `) Y8 A) P' OInitial level, 最初水平
, e b, [8 O. R& A: G2 L% Q4 i ?Interaction, 交互作用
& I7 }. H0 i3 dInteraction terms, 交互作用项
. y+ ^3 g7 g* \$ `+ O( Q& i8 v3 ~Intercept, 截距' W9 u6 t; Q" P0 \& g
Interpolation, 内插法
9 L0 e; u& c" _* v3 S+ G; h3 m$ tInterquartile range, 四分位距
; p- q; l0 z- s3 w' T5 |/ d( ~Interval estimation, 区间估计" J" y9 w5 i2 }; Z* ]
Intervals of equal probability, 等概率区间/ S+ M- @) O& Y; H! d
Intrinsic curvature, 固有曲率
- o% U8 _1 S4 \) _: J. }/ ~Invariance, 不变性 g z' j1 Z% `) J0 ?
Inverse matrix, 逆矩阵
% `; ^+ i3 c) h5 H7 W$ e; FInverse probability, 逆概率9 E+ k1 c7 E) Y! C8 j' Z
Inverse sine transformation, 反正弦变换
3 @1 E) [0 @, Y8 fIteration, 迭代 8 h5 N9 @' ?$ U+ y2 l( t& p% `; a( J
Jacobian determinant, 雅可比行列式
% w, a( r0 N: W U( P6 E2 b2 BJoint distribution function, 分布函数
) @2 C7 f* q; a( F6 _Joint probability, 联合概率
% r+ X+ o1 i7 G; t4 PJoint probability distribution, 联合概率分布
4 }8 P+ n: h" cK means method, 逐步聚类法, o/ t& Z9 r1 P! T- S; q
Kaplan-Meier, 评估事件的时间长度 - r# x6 x; f2 W2 S3 v6 V( o2 L
Kaplan-Merier chart, Kaplan-Merier图. Z9 E2 N% x0 i9 O: w
Kendall's rank correlation, Kendall等级相关
U8 `: l E8 c- v: `Kinetic, 动力学3 y5 i M" L2 E4 \# w( y1 S
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
8 Q, R: {$ K$ q% E4 ?Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
( I# s/ q8 m" T7 {- j9 G1 F4 AKurtosis, 峰度
% E- R$ X$ u) w, r( I3 }! jLack of fit, 失拟
8 K) F8 L- t5 h$ U. f/ ?, J1 PLadder of powers, 幂阶梯
3 Y" r0 R5 ~# l# ~1 z: A9 KLag, 滞后
o. v1 d/ l7 aLarge sample, 大样本# F4 q) a5 G* V: L6 C
Large sample test, 大样本检验0 W& ^) B4 f, y; w) g# N! i
Latin square, 拉丁方
. p' R8 s. Q* l" D6 qLatin square design, 拉丁方设计7 f$ P, y1 k( }3 K M; Q0 }$ O
Leakage, 泄漏9 H8 x% \1 M+ C* k) Q
Least favorable configuration, 最不利构形
8 \4 |7 i4 n. A- v7 P9 bLeast favorable distribution, 最不利分布
7 V1 _' {" \; j% d% ^( M. A: vLeast significant difference, 最小显著差法- T+ E) s6 Q3 ]8 m7 F6 u
Least square method, 最小二乘法
5 L( x4 X5 D; @" E% yLeast-absolute-residuals estimates, 最小绝对残差估计3 D' H A- Z' I, ~! T$ j& u5 Y
Least-absolute-residuals fit, 最小绝对残差拟合
, o. C) B* r+ NLeast-absolute-residuals line, 最小绝对残差线
1 @& s/ b/ c) t, `; J" \" \) o3 pLegend, 图例5 B% \! U0 I5 g
L-estimator, L估计量9 v- d8 e# l* N' `% X
L-estimator of location, 位置L估计量1 I- n, ~( b7 g; H) i% J
L-estimator of scale, 尺度L估计量
) w. {" Z6 Y" `5 h R7 w/ P) T( ?Level, 水平0 s! R! f8 G! v1 g$ [% X
Life expectance, 预期期望寿命4 z) T2 t. C7 v9 F3 Z6 O
Life table, 寿命表' c' {* \, n% p$ J6 X. t
Life table method, 生命表法
7 g& Z5 V2 i1 u( G; aLight-tailed distribution, 轻尾分布
* V* ]- u& |3 [" wLikelihood function, 似然函数7 _, {1 G# {: u' F# c5 `- ^
Likelihood ratio, 似然比0 J ]1 o j- b- }
line graph, 线图/ ?. u, s% K& Z I# i
Linear correlation, 直线相关7 B+ j' e. ~. N0 [( A0 P7 d
Linear equation, 线性方程
7 J9 X1 d" j. c0 t: LLinear programming, 线性规划
7 w$ w: [, s- C. E+ k8 S* H: @7 hLinear regression, 直线回归4 O/ j' [; v$ c$ t# C% D
Linear Regression, 线性回归
+ x5 F8 a% K2 [% {1 @Linear trend, 线性趋势
/ w; ]' A- N+ T- V) }2 rLoading, 载荷
5 R, N$ Y& ^3 {6 x+ b( OLocation and scale equivariance, 位置尺度同变性, p% [; k9 \ x# t
Location equivariance, 位置同变性
7 e: H/ C5 m) w/ ILocation invariance, 位置不变性4 Z5 ~2 Q5 ~& v2 {$ U# F* f
Location scale family, 位置尺度族
" \6 l# E# A0 H8 _Log rank test, 时序检验 + f" g1 o" ?! u+ O
Logarithmic curve, 对数曲线
! q" e1 |7 A, CLogarithmic normal distribution, 对数正态分布
5 c- K! T! F# HLogarithmic scale, 对数尺度7 |2 e s% H1 c
Logarithmic transformation, 对数变换
# [2 }4 w& _% J( a8 v# C4 vLogic check, 逻辑检查* |- R* c2 l) A. G1 }6 Y
Logistic distribution, 逻辑斯特分布7 a# b. d* z- x+ w9 p1 ^" a% U
Logit transformation, Logit转换5 }" E) }! _7 C {8 y0 N0 j
LOGLINEAR, 多维列联表通用模型
4 y9 _( V4 S" T$ a" F$ X# `( dLognormal distribution, 对数正态分布" ^* h3 P# V3 _/ v
Lost function, 损失函数
$ q1 `+ R' N! `6 ?- ~& ILow correlation, 低度相关- B" t+ H* e* H K1 Z, K7 u
Lower limit, 下限
% B7 O0 Q& P- R- M }7 J( o5 J# Z' eLowest-attained variance, 最小可达方差3 u/ P1 Q3 h/ W0 I6 P+ L% A
LSD, 最小显著差法的简称
- e1 r0 K1 R' K6 w+ F" Q, iLurking variable, 潜在变量
. @; w# ^7 K. S2 i, ^Main effect, 主效应
. l& _1 A; Y8 @, `5 X3 iMajor heading, 主辞标目
+ k5 e) c% {( `( XMarginal density function, 边缘密度函数
( J1 j4 I, V# k" S( A, `Marginal probability, 边缘概率5 z5 c# @& M; G( O) d
Marginal probability distribution, 边缘概率分布
+ H& M" w# O! w0 |+ p- YMatched data, 配对资料5 R# i1 n( ?4 |; H/ z/ p* _5 \* [% ?
Matched distribution, 匹配过分布* M' n9 M/ ? k6 J
Matching of distribution, 分布的匹配
+ b( V' H) f: ~1 s+ OMatching of transformation, 变换的匹配. r7 j6 [% h- V f' J5 J
Mathematical expectation, 数学期望# g: |# D8 g, z( H; q7 a! S) V9 P
Mathematical model, 数学模型! Y0 h3 W# M a; `% `6 z
Maximum L-estimator, 极大极小L 估计量
6 S+ G* J- L& ^$ Q& ~Maximum likelihood method, 最大似然法( I& J. I) e5 R" `* ~
Mean, 均数7 S2 u9 `, ?% z& I( E7 {, |
Mean squares between groups, 组间均方
+ A8 Q) d3 G9 w J% O N0 ^Mean squares within group, 组内均方+ C6 P7 M1 ?) C- m7 V
Means (Compare means), 均值-均值比较: [* ~5 z' Y: }0 n- A- v3 n1 E
Median, 中位数
$ A# v! I# g \4 w) [2 ]- s) L, KMedian effective dose, 半数效量5 l: V% Q0 \) ]9 o5 \8 b4 \
Median lethal dose, 半数致死量: H4 W' M' p1 D3 u% {
Median polish, 中位数平滑; S! ^) a5 \7 F* u- t" m8 n$ |
Median test, 中位数检验
4 U" _" ?8 U+ e$ [Minimal sufficient statistic, 最小充分统计量6 y( z, z5 r! p
Minimum distance estimation, 最小距离估计
; Q2 C' W/ w5 c9 T' u2 qMinimum effective dose, 最小有效量6 [; i! v p) ~% E
Minimum lethal dose, 最小致死量5 R5 c. h7 P6 Y+ u5 V2 w
Minimum variance estimator, 最小方差估计量
" |3 Q+ b6 Y7 m ^& t% ]1 Q; bMINITAB, 统计软件包, F7 K# O* y2 f3 v- s
Minor heading, 宾词标目
6 F# Q6 k$ d; m& ] LMissing data, 缺失值
- b- Q8 _- u/ n0 \4 N E% _' C+ C" qModel specification, 模型的确定
" S N4 \! f2 O- d0 X$ D# ?" E& T6 rModeling Statistics , 模型统计5 h+ v- A5 ]) M' m5 ~
Models for outliers, 离群值模型# h6 o4 ~0 k$ F/ K7 Q. x7 i
Modifying the model, 模型的修正
6 ~) e9 T" f1 Q. lModulus of continuity, 连续性模3 @2 K7 c$ H1 {0 R% Y) F
Morbidity, 发病率
. e# t( R0 i4 ^* E7 PMost favorable configuration, 最有利构形2 D" z9 `4 O' Y. `! f! ?
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
U' ?8 X1 h6 H# v9 ?Multinomial Logistic Regression , 多项逻辑斯蒂回归
% e4 ^: ^" c; |9 GMultiple comparison, 多重比较
F# O! o/ e8 P2 q: o+ J) Z* DMultiple correlation , 复相关
1 v2 ^. w- `2 O9 xMultiple covariance, 多元协方差
$ [7 @/ a( T- ] G. ~( x8 RMultiple linear regression, 多元线性回归
! I9 w% b: h6 i. o) B" {Multiple response , 多重选项
8 Z: {7 _( w% @6 I4 f* l/ nMultiple solutions, 多解' r# k s1 Y0 t" x* ~/ x0 M
Multiplication theorem, 乘法定理
! b( ], Y1 [' u% QMultiresponse, 多元响应) c2 P# S N4 T- C& [
Multi-stage sampling, 多阶段抽样; y1 r' U S; \& r5 U. r$ x
Multivariate T distribution, 多元T分布/ k& R+ w# O1 |- Q5 ~
Mutual exclusive, 互不相容; R: ~3 t/ ]3 c6 Q; {6 s- x$ w" c! l
Mutual independence, 互相独立( |% u: ^ x+ m3 D$ ~; Y+ f% k+ @8 C
Natural boundary, 自然边界
+ G# O, C! c# E# x! h8 f' S7 c# ]Natural dead, 自然死亡0 _/ g ~; V; `' W- p9 {
Natural zero, 自然零4 T! O+ b% Y0 v7 y; @
Negative correlation, 负相关/ H+ _6 r1 P% F5 J- C% T/ H
Negative linear correlation, 负线性相关
/ z" m0 y) l) }2 g$ ~Negatively skewed, 负偏% k9 }, {9 i+ a
Newman-Keuls method, q检验
! h; ~, |4 @, M0 g0 hNK method, q检验9 p' m( d6 e+ W' t
No statistical significance, 无统计意义
# Z8 t' H7 J: k5 ^) [, eNominal variable, 名义变量
/ r0 ^( `7 J" M6 E1 A. O; {1 \Nonconstancy of variability, 变异的非定常性! F: L! W( z6 L" W+ P
Nonlinear regression, 非线性相关
- Y6 N, S4 n1 ?) o; Q0 JNonparametric statistics, 非参数统计: F+ @0 L/ L# R6 D/ Z
Nonparametric test, 非参数检验8 R/ x$ s. D2 }" t7 Q
Nonparametric tests, 非参数检验
9 G! x! O" `* M! h) ^Normal deviate, 正态离差, F" H5 [' W( ^( Q2 D) {2 g
Normal distribution, 正态分布" h( N) v+ k$ S+ d+ P2 x% U( J
Normal equation, 正规方程组3 }- o% b. O4 G2 H" M
Normal ranges, 正常范围9 F/ Y7 k) ~$ A' ?$ G# P5 m
Normal value, 正常值) [0 o6 `2 K. F, c
Nuisance parameter, 多余参数/讨厌参数
, q9 H" L3 l" BNull hypothesis, 无效假设 0 ~2 H$ A) U8 b! S
Numerical variable, 数值变量
3 N- z" _* {/ p4 hObjective function, 目标函数+ Y$ C6 O0 ?0 w8 f3 s7 U% i
Observation unit, 观察单位9 q% ~9 B* i, ~ w6 n& E
Observed value, 观察值1 T" a9 u# M3 f; A" E
One sided test, 单侧检验
* C8 B; b6 Q' q2 _) A$ rOne-way analysis of variance, 单因素方差分析
/ y% w3 I# y h8 c/ ]- \Oneway ANOVA , 单因素方差分析
# ^, I8 B, a8 W3 ?& u# uOpen sequential trial, 开放型序贯设计
) F0 _4 F' r% b# D& F9 NOptrim, 优切尾# d( q$ Q; G2 [) g. [
Optrim efficiency, 优切尾效率. h; Y; r' G7 V% _
Order statistics, 顺序统计量
$ u1 A) ^: ~4 S3 [2 LOrdered categories, 有序分类. {! h- l: c4 A' b
Ordinal logistic regression , 序数逻辑斯蒂回归* M. _; S2 `" p) Y
Ordinal variable, 有序变量 b8 [/ X3 L" E N D R
Orthogonal basis, 正交基
& R& v- ?4 V' n# A* h8 i9 xOrthogonal design, 正交试验设计
8 n4 ]# S" y( u" A# @; }Orthogonality conditions, 正交条件: A/ a2 w- F( J3 L* j
ORTHOPLAN, 正交设计
8 n" h/ ]+ @2 A; I$ Z. M) {) k lOutlier cutoffs, 离群值截断点
' q. R) ?% }- o: M4 s5 D- C( gOutliers, 极端值* a ^- _2 {4 A+ B9 p H& X
OVERALS , 多组变量的非线性正规相关
1 M' |4 p. c2 w; w: D6 e7 sOvershoot, 迭代过度
! m: ~" C# v9 y9 `2 E+ iPaired design, 配对设计
* z- ?+ U3 l. {# z3 yPaired sample, 配对样本0 y. c3 A/ ~1 j! y/ w2 U
Pairwise slopes, 成对斜率" N4 n/ P* l3 f4 p
Parabola, 抛物线
3 |; K$ h" n: T7 \Parallel tests, 平行试验
% _2 T9 B% ^4 J7 ^1 E; wParameter, 参数6 S0 R# z3 G8 Y5 R% s3 b! v" f
Parametric statistics, 参数统计
. Q% ^+ Z, w: ?/ g6 F9 \Parametric test, 参数检验- p) I# o; f" T: U/ i W
Partial correlation, 偏相关
! ]0 C8 d* K1 y/ W' R$ t& vPartial regression, 偏回归
O; b+ ~) e2 iPartial sorting, 偏排序
9 O! e. \1 r2 l: G9 `" TPartials residuals, 偏残差
7 ^4 \1 S% [7 E! U6 V8 @% A6 APattern, 模式) j6 h; ?, a% m3 t0 Y7 |6 t
Pearson curves, 皮尔逊曲线
/ n; i6 }+ j! \$ rPeeling, 退层3 z, E5 {, u, N$ u7 R9 {# m
Percent bar graph, 百分条形图; }& E3 V+ ]" p; i A' t: D% I: P& P
Percentage, 百分比) ^9 r* s% M- [
Percentile, 百分位数% A% a9 F1 r! L' s4 n' O" |( s
Percentile curves, 百分位曲线- l$ C7 i4 _0 |9 G8 n
Periodicity, 周期性
. l# @( z; N& p- E6 }! SPermutation, 排列
. F0 m2 O2 q0 E8 ?! b* s# tP-estimator, P估计量' w+ w/ }# ]1 }+ u! `5 Q
Pie graph, 饼图3 H. N; h2 p+ ^* G" ~( d
Pitman estimator, 皮特曼估计量5 ^+ s Y+ `$ Q' \2 Y3 c# f
Pivot, 枢轴量
+ K5 ~) w; H* pPlanar, 平坦
: [) }# }2 ~& t( Y) E; E- nPlanar assumption, 平面的假设! d4 w4 V* l& N
PLANCARDS, 生成试验的计划卡
( |# }! I8 D) b& ^Point estimation, 点估计
y1 }; o6 V8 UPoisson distribution, 泊松分布
' U0 s. l1 V. jPolishing, 平滑
9 x6 {' s6 A6 H( dPolled standard deviation, 合并标准差
2 d x( h" B+ o2 wPolled variance, 合并方差9 z0 A- {! v+ ^0 K5 j
Polygon, 多边图
3 G8 c; V8 I: r* a* a8 B7 qPolynomial, 多项式
" t' ~/ B$ M+ N7 M! {/ vPolynomial curve, 多项式曲线3 E/ ~; w: r% d: m$ j( d
Population, 总体! i7 H6 p A2 E3 Z& i: u6 ?" H* {
Population attributable risk, 人群归因危险度
7 n! w" s- o' e& HPositive correlation, 正相关
1 m$ ]. X- ?, b6 jPositively skewed, 正偏2 G m6 r( }& R% g: f- g
Posterior distribution, 后验分布
. P$ \ s1 ` l- ?8 a2 |- E; iPower of a test, 检验效能# L0 g! ]5 g5 s
Precision, 精密度1 H! J" F- r M5 R) f
Predicted value, 预测值
6 R4 _# W% ] r0 O9 C8 tPreliminary analysis, 预备性分析$ k$ J/ H) e; g+ g0 A3 O3 p% ]& t
Principal component analysis, 主成分分析$ `* R& d8 `- U o' A8 w/ x! L: x/ \7 g
Prior distribution, 先验分布$ x# s3 F* D; `2 k( p4 t& m! q
Prior probability, 先验概率
: E" b6 c. J, D4 T, G2 d2 R4 Y yProbabilistic model, 概率模型6 V& o* W( l5 ?* Y% h) N: K
probability, 概率; C- }* b. y2 M9 ?- [
Probability density, 概率密度' \2 {' c' D- Z2 W
Product moment, 乘积矩/协方差% _& s8 S( G1 w$ \! W# M
Profile trace, 截面迹图3 N! `! @" q8 L* P, d! O( L) o1 {, o
Proportion, 比/构成比! x% w& H& x( i* `) B
Proportion allocation in stratified random sampling, 按比例分层随机抽样1 C ?7 s" k2 n, x
Proportionate, 成比例
% P$ A; F" B: n( o2 C6 E( E# lProportionate sub-class numbers, 成比例次级组含量9 i* f# _% t @. `. q: |8 E% B7 r
Prospective study, 前瞻性调查4 j- E5 H" b: a# x, l
Proximities, 亲近性 9 H* C+ w K$ f& V; {" O: X
Pseudo F test, 近似F检验
$ a) f$ _0 r* f. R0 `. d3 l h% pPseudo model, 近似模型6 s; J. ?' r+ H
Pseudosigma, 伪标准差1 |8 K+ O. e+ U% c* L1 L
Purposive sampling, 有目的抽样( \8 h1 i: |( R- Q
QR decomposition, QR分解! Y) i2 j5 O1 ^5 `) ^, j' M
Quadratic approximation, 二次近似, M) w. I; K4 |( I M
Qualitative classification, 属性分类# Z1 W' v, ?: b
Qualitative method, 定性方法% k' k! U5 @9 d2 O
Quantile-quantile plot, 分位数-分位数图/Q-Q图
2 y9 U! s* I/ \- Q) F4 y; H4 U* KQuantitative analysis, 定量分析9 x$ X- N9 n% v+ o$ \7 y, l
Quartile, 四分位数. j* q4 H H- _$ A( B) b+ T
Quick Cluster, 快速聚类
/ @5 j2 P/ m* ^9 F2 M+ ~( v/ e! aRadix sort, 基数排序+ g! |" o5 W1 |9 _' B! G
Random allocation, 随机化分组' D1 c. C7 B# X
Random blocks design, 随机区组设计5 b% e5 d) ` N7 E! A1 w
Random event, 随机事件! ^% t! U2 M$ E, `
Randomization, 随机化
# ?& [9 d4 ^+ Q1 G' [Range, 极差/全距& _$ s- {( ?: T+ `8 L
Rank correlation, 等级相关
! g: y; ]" J$ v! Q, |6 k" wRank sum test, 秩和检验+ b) j5 x5 D# I; c
Rank test, 秩检验3 u5 j$ F( G& S
Ranked data, 等级资料
+ Z$ @* }5 `6 d: `8 B, F! mRate, 比率
8 a% P: F- _" FRatio, 比例; w% `% v" D) c/ F; q$ ]6 K i( I) @
Raw data, 原始资料
2 b. h9 K/ r8 S; k1 B* G4 kRaw residual, 原始残差
) }4 G! G ~/ L8 GRayleigh's test, 雷氏检验# h) ^4 Y3 s% Q% N: v( `
Rayleigh's Z, 雷氏Z值
0 |, ^7 Q; k, X: t* WReciprocal, 倒数1 G9 [3 O4 r2 h( V: N0 i
Reciprocal transformation, 倒数变换
! U6 ^. ~ P* ?+ G5 p3 x+ U: h4 tRecording, 记录& i% Y" X- Q9 R# q4 p" w
Redescending estimators, 回降估计量1 W/ @# q! j O. D6 d7 P) `/ f
Reducing dimensions, 降维
9 E- z+ j4 t2 W dRe-expression, 重新表达
- |1 M* {* |0 }Reference set, 标准组
7 h$ |" i/ Y) Z+ `# XRegion of acceptance, 接受域
4 e* m/ U, t' \- ^4 s- N( [Regression coefficient, 回归系数
& G& e4 [3 Z' ^9 oRegression sum of square, 回归平方和, ^5 E5 h7 d! l! {. W& ]
Rejection point, 拒绝点. A' W0 f' u, i, o% P2 r6 S
Relative dispersion, 相对离散度
9 ?4 o+ Y# `7 a. V7 O; wRelative number, 相对数
, l6 c! x/ \4 M+ XReliability, 可靠性
: h- M3 V: y8 h1 |7 S3 vReparametrization, 重新设置参数 c) p1 U: k+ V H
Replication, 重复
8 O/ Z9 T/ U5 }7 P( w( F3 J) G% X; pReport Summaries, 报告摘要
7 x, v/ Z: L1 s& b" rResidual sum of square, 剩余平方和
* F0 X2 C% ]7 t) dResistance, 耐抗性
& V- r+ b' ?; h& ?" nResistant line, 耐抗线
% f$ d" p4 ~, N6 {: q i" w3 [1 LResistant technique, 耐抗技术6 z; U3 r9 j' i
R-estimator of location, 位置R估计量
5 W: g, G- t- GR-estimator of scale, 尺度R估计量% t, \8 A: {5 K$ e9 x
Retrospective study, 回顾性调查' ]; ~& G; g3 W4 u6 | i
Ridge trace, 岭迹. `5 E" @4 ^( v1 `8 D- m8 w
Ridit analysis, Ridit分析
6 I. M. P r2 Q3 I8 ?Rotation, 旋转1 J. E! p% o# \. K
Rounding, 舍入- g7 @/ X g/ p. Z
Row, 行
1 N9 u7 F. L( R8 P& U& [5 \Row effects, 行效应$ E) x- f$ L; z
Row factor, 行因素
3 K& f+ B2 J7 m- P4 B' k# xRXC table, RXC表& g; m0 `/ f/ i5 I3 x1 c+ D
Sample, 样本
' b+ Q% B# t5 r0 v6 kSample regression coefficient, 样本回归系数
; n- Y, K8 @$ V8 a6 u3 w* A9 K$ uSample size, 样本量
. L) }4 |$ O: pSample standard deviation, 样本标准差& \+ u+ r6 h8 q4 ?
Sampling error, 抽样误差
& f5 f6 D4 V) p1 ZSAS(Statistical analysis system ), SAS统计软件包+ g& m w( A- |! G( d
Scale, 尺度/量表
# t5 x8 |: P$ O$ ^2 a* X* h) GScatter diagram, 散点图3 N; ~2 h) y3 \1 {9 ^% `% j
Schematic plot, 示意图/简图
0 }1 H L; C' o9 x- M! t7 uScore test, 计分检验 h) k. h/ Q% ]; _/ s, J# N1 [4 x
Screening, 筛检! \, o/ p' a5 b7 K
SEASON, 季节分析 $ {! s- K3 F* B: {+ a7 ^
Second derivative, 二阶导数
. q" c2 W8 u, u h: b( J7 oSecond principal component, 第二主成分$ b2 V: g6 f1 X: K; Z8 }
SEM (Structural equation modeling), 结构化方程模型 5 \7 v8 m( O. k% |: `5 V& L/ \9 a$ D
Semi-logarithmic graph, 半对数图+ F4 a2 [9 Y9 |" f+ X3 |! x+ B: R
Semi-logarithmic paper, 半对数格纸
; |; J8 Z1 Y2 H$ a5 h( T" qSensitivity curve, 敏感度曲线
D/ v2 Y e" i' Z! KSequential analysis, 贯序分析: e+ b) ~& ~9 q, k$ U
Sequential data set, 顺序数据集1 c. s- y2 C" X+ k3 l2 l) s7 c$ v
Sequential design, 贯序设计
4 a2 y0 |: A; P$ l9 GSequential method, 贯序法
2 e$ `0 W6 I! C0 _! CSequential test, 贯序检验法# [: C W& J0 }6 j) s$ O
Serial tests, 系列试验* _3 _/ g2 B/ z, F
Short-cut method, 简捷法
2 {. A$ b7 K/ X: D2 H& ^2 n4 K" M oSigmoid curve, S形曲线
1 |+ z) \4 H! H: ]" q4 b, eSign function, 正负号函数
, \$ l+ m$ g% B+ U1 ISign test, 符号检验3 U/ ?+ f1 \3 O
Signed rank, 符号秩3 j! B# W9 h3 G6 x
Significance test, 显著性检验
6 B* ?8 M. o D% b. mSignificant figure, 有效数字
& `1 ^4 j# Q5 `9 i$ E/ hSimple cluster sampling, 简单整群抽样+ x& P5 d5 u9 o+ R/ z6 R; w
Simple correlation, 简单相关
$ ?4 ?: y8 K( A. q% }( wSimple random sampling, 简单随机抽样' _2 K* ?7 Q m2 l/ {5 v
Simple regression, 简单回归- e) _/ s2 N7 W' m, O% G- b
simple table, 简单表3 C8 }; O' S& K4 }7 N
Sine estimator, 正弦估计量
4 A' L0 T: h: b. ~$ d6 MSingle-valued estimate, 单值估计
; t3 j/ \4 V; O: S% W+ gSingular matrix, 奇异矩阵
: ^3 f' z! h6 }) [* u9 \Skewed distribution, 偏斜分布
2 c3 |; y& @, o3 @$ BSkewness, 偏度9 C: H4 F% m8 x" }
Slash distribution, 斜线分布, w; x3 s& @ U4 j
Slope, 斜率4 C& c% F! P2 L1 N
Smirnov test, 斯米尔诺夫检验! ~ A( _/ b9 I: l: c- y6 F
Source of variation, 变异来源) I1 m2 T1 o1 X& N$ Q9 X
Spearman rank correlation, 斯皮尔曼等级相关
) p4 \4 y, y* l( WSpecific factor, 特殊因子
- ]2 w' Y" X1 }' g# K0 h( t+ eSpecific factor variance, 特殊因子方差: Q3 p/ a, n+ `$ q3 q1 o$ V
Spectra , 频谱
4 i$ L6 L, H( f! C7 J0 MSpherical distribution, 球型正态分布( A6 |$ ^. o* ^9 C" v
Spread, 展布
6 \+ R2 S* R! l t& e* N: Q% qSPSS(Statistical package for the social science), SPSS统计软件包
4 N% L6 {) ^& a( `: I3 j6 ySpurious correlation, 假性相关
% k* }; E& {) \% X# y% m3 rSquare root transformation, 平方根变换
% q5 U0 c0 K# u% fStabilizing variance, 稳定方差
) F5 n" e/ u, e7 h YStandard deviation, 标准差2 d5 F5 L& {, z* r6 D
Standard error, 标准误% E8 v% k j2 C- |9 A0 i0 i% T
Standard error of difference, 差别的标准误
3 Q& C& ^) v0 Y# ^" ]; C/ yStandard error of estimate, 标准估计误差
1 C3 e, X0 b" O% o6 I; D" w- HStandard error of rate, 率的标准误
" x4 a, \1 a) X+ F; R2 j0 JStandard normal distribution, 标准正态分布6 q1 F" N1 f' g f
Standardization, 标准化
3 S- y% |8 B7 }8 y% R$ MStarting value, 起始值
$ S" P, P4 h- S6 w5 qStatistic, 统计量/ M, Z" U$ ^/ w% R; p2 E
Statistical control, 统计控制
/ ^/ j: Z/ _! z8 D' s9 O" FStatistical graph, 统计图
7 C* J: A$ t4 b' z- KStatistical inference, 统计推断
F9 S, e, X+ k @Statistical table, 统计表0 J6 t, r0 {3 U. f6 p
Steepest descent, 最速下降法
$ _: ], s: |$ o) z2 m' dStem and leaf display, 茎叶图9 Q$ q2 e" j4 `4 v
Step factor, 步长因子
/ ?' }0 g. Y" ?Stepwise regression, 逐步回归1 M% N% a. _% R2 T, o% v0 v5 V9 B
Storage, 存
0 S5 F" L, A9 U6 R& bStrata, 层(复数)0 g% i. [9 D. O; Z5 a
Stratified sampling, 分层抽样
, N0 c/ X% g( @) d. vStratified sampling, 分层抽样
, B4 z$ `! F( A$ |Strength, 强度
% @2 B5 |5 {( `2 r; H! W0 m9 KStringency, 严密性: a! b4 w& |4 l& _8 i6 b2 U0 G0 V$ ~
Structural relationship, 结构关系& [4 x9 D/ ^7 i+ y- E& e+ Y2 j
Studentized residual, 学生化残差/t化残差* t0 \. F- G6 d% @6 |0 |/ U% b1 C
Sub-class numbers, 次级组含量
5 B: Y$ }5 L; v5 M. T! b) f- ]Subdividing, 分割
$ ]2 r, i, L8 f# Q4 o' L, QSufficient statistic, 充分统计量
/ F' b& \1 _2 V* p' F& d+ FSum of products, 积和* r5 V2 [ i' v7 W+ k, M, Z
Sum of squares, 离差平方和
$ S) ~8 z; c7 f( F& A' fSum of squares about regression, 回归平方和4 y) m8 L, D8 j/ [1 n
Sum of squares between groups, 组间平方和7 F- |, k6 H5 m3 |3 t7 z
Sum of squares of partial regression, 偏回归平方和
+ t6 Z8 D2 T H. \5 _, QSure event, 必然事件) n" }( f8 V& h7 i& p
Survey, 调查% G9 p. d% C5 \, B3 A; g
Survival, 生存分析
- c2 }. j* |, k3 M/ aSurvival rate, 生存率. W$ V# j& g( B$ m; h* b
Suspended root gram, 悬吊根图. A, @3 H r) D
Symmetry, 对称
" ]7 c- F9 z- c, C* RSystematic error, 系统误差, X/ D' Z( Z4 ` h
Systematic sampling, 系统抽样: `2 @+ | j4 a7 ~# ?
Tags, 标签
' E2 |5 L- q! {( DTail area, 尾部面积
9 o# }4 A2 h {) X" h" Z9 G9 kTail length, 尾长
6 J4 Y+ f4 U1 W( eTail weight, 尾重
% L/ | s( @% b9 PTangent line, 切线
9 e0 B3 A0 F% j7 F4 f: LTarget distribution, 目标分布: l# G1 s2 Z! ~6 R
Taylor series, 泰勒级数. X- T* ^7 Q# _
Tendency of dispersion, 离散趋势
* C2 n& ]7 _- L$ ]4 Q) w, {7 nTesting of hypotheses, 假设检验
. k5 S/ g1 ]- Y- iTheoretical frequency, 理论频数
6 n8 n0 p% e2 GTime series, 时间序列
5 E5 `) X) k+ O: L' R" U3 [1 BTolerance interval, 容忍区间
! w* P, Q1 E% I4 a5 gTolerance lower limit, 容忍下限
. g! q# G3 y' B/ u& Z8 hTolerance upper limit, 容忍上限- O( Z S9 {2 g% l$ o
Torsion, 扰率; o2 |' ]6 j5 W" ?0 ^# H
Total sum of square, 总平方和7 S- x) G' N3 O. i1 V
Total variation, 总变异
) T, p' D, Q$ f9 }( V5 G+ HTransformation, 转换
* B" J: H$ Q3 R9 @Treatment, 处理# }$ E) ~* K+ Y4 V- Q. p
Trend, 趋势" p' V! Y' Y- T9 z" B( I
Trend of percentage, 百分比趋势
- Z8 C- ~& P8 `; ?+ c2 j% DTrial, 试验
' f& B3 a }. X# t" WTrial and error method, 试错法
0 v' u0 c) b b' }$ q: UTuning constant, 细调常数
( G; I+ k5 P, N1 B$ ETwo sided test, 双向检验
& P9 N* y5 w& e9 E. ETwo-stage least squares, 二阶最小平方! J: v% L; b) _! j
Two-stage sampling, 二阶段抽样
1 r; g: _' y/ g2 a9 e- _Two-tailed test, 双侧检验
* k! H K! L3 ATwo-way analysis of variance, 双因素方差分析- N& r: A) o1 D" S5 w6 d* B
Two-way table, 双向表
+ t) i; t4 n3 B- v9 g8 v8 E# GType I error, 一类错误/α错误
- k. S" I2 s: S# p7 ]2 R3 lType II error, 二类错误/β错误
2 u2 l! \8 S- YUMVU, 方差一致最小无偏估计简称
( x) X6 j" y0 z! m- bUnbiased estimate, 无偏估计
3 }: B) `) [) ]2 k* {! ~Unconstrained nonlinear regression , 无约束非线性回归
W5 v+ w( B. N: p; |. x d6 b8 P) kUnequal subclass number, 不等次级组含量
+ F/ z' U9 n$ u# \Ungrouped data, 不分组资料
+ o4 q' x) s) J8 oUniform coordinate, 均匀坐标
, x4 e1 c/ d. N" \. ~Uniform distribution, 均匀分布
1 g; b( x* X$ d- WUniformly minimum variance unbiased estimate, 方差一致最小无偏估计4 z' |, t# u( C n
Unit, 单元" [6 {& r- f% S( ?1 m
Unordered categories, 无序分类# H. n+ Z$ Q+ M5 e+ y
Upper limit, 上限1 b( {1 G. b. [; \ U' [
Upward rank, 升秩& V o. A5 J- }0 m+ u* W4 k+ o' B
Vague concept, 模糊概念- u7 r8 c0 M ?& o# o$ Y5 L" B
Validity, 有效性
5 G9 A0 p$ A( m5 u# T- w, _4 E6 cVARCOMP (Variance component estimation), 方差元素估计, H. z# J: X- b V* `! y
Variability, 变异性
. r8 R1 X8 z0 L2 N+ d, p. ]. N8 A' YVariable, 变量3 s+ m1 c4 h, f" L* N( @: ~1 o
Variance, 方差
5 |; H9 |5 [9 @ Z5 P" @6 RVariation, 变异
6 ?5 {5 m0 c! O; _1 cVarimax orthogonal rotation, 方差最大正交旋转
2 f- _4 e0 r% @, CVolume of distribution, 容积4 U# i2 f; j& H& ~
W test, W检验
0 k0 i$ m* @8 h P* L; ?# A0 tWeibull distribution, 威布尔分布
* a& L1 g/ v5 Y. VWeight, 权数& u4 ^: L5 P: ?
Weighted Chi-square test, 加权卡方检验/Cochran检验
- a0 M& H, Y. b' d- k9 ]Weighted linear regression method, 加权直线回归
3 y( P* Q8 v7 I& K ]3 YWeighted mean, 加权平均数' s& A% u* p8 v9 }$ T
Weighted mean square, 加权平均方差3 r& L# u- b& L9 w# ]# t* o
Weighted sum of square, 加权平方和+ q- ?9 j1 r g7 L* P
Weighting coefficient, 权重系数( K* p Q9 j& G2 l, N0 C |
Weighting method, 加权法
. V- `- a( J, ~8 C2 \W-estimation, W估计量
o8 g5 u4 [+ b; B0 g9 s9 iW-estimation of location, 位置W估计量8 S( f6 T/ W5 T5 L. n
Width, 宽度* V8 q. K. R# z: d; L
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验# q; T) P' y. Z8 d! q* e
Wild point, 野点/狂点2 `/ \$ d8 ~( F* {3 G0 q8 h# `1 r
Wild value, 野值/狂值
- b( T4 E; z$ O9 q- A; L$ {, h2 {Winsorized mean, 缩尾均值
& p0 \+ A8 A* ?1 v% n# q4 W- V% ^+ t, rWithdraw, 失访 1 c" F+ f. }6 W2 N& I- ?' |/ l
Youden's index, 尤登指数
1 p* o+ g# J; ]( {7 a+ d$ AZ test, Z检验# i& t, b+ k- Y2 W j: x
Zero correlation, 零相关4 e* o3 @' I+ L2 D
Z-transformation, Z变换 |
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