Permutation methods: A basis for exact inference

被引：550

作者：

Ernst, MD ^{[1
]}

机构：

[1] Indiana Univ Purdue Univ, Dept Math Sci, Indianapolis, IN 46202 USA

来源：

STATISTICAL SCIENCE | 2004年 / 19卷 / 04期

关键词：

distribution-free; Monte Carlo; nonparametric; permutation tests; randomization tests;

D O I：

10.1214/088342304000000396

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

The use of permutation methods for exact inference dates back to Fisher in 1935. Since then, the practicality of such methods has increased steadily with computing power. They can now easily be employed in many situations without concern for computing difficulties. We discuss the reasoning behind these methods and describe situations when they are exact and distribution-free. We illustrate their use in several examples.

引用

页码：676 / 685

页数：10

共 18 条

[1]

BRADLEY JV, 1968, DISTRIBTION FREE STA

[2]

*CYT SOFTW CORP, 2003, STATXACT 6

[3] MODIFIED RANDOMIZATION TESTS FOR NONPARAMETRIC HYPOTHESES [J].

DWASS, M .

ANNALS OF MATHEMATICAL STATISTICS, 1957, 28 (01) :181-187

[4]

EDGINGTON ES, 1995, RANDOMIZATION TEST

[5] A class of permutation tests of bivariate interchangeability [J].

Ernst, MD ;

Schucany, WR .

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1999, 94 (445) :273-284

[6] THE COEFFICIENT OF RACIAL LIKENESS AND THE FUTURE OF CRANIOMETRY [J].

Fisher, R. A. .

JOURNAL OF THE ROYAL ANTHROPOLOGICAL INSTITUTE OF GREAT BRITAIN AND IRELAND, 1936, 66 :57-63

[7]

Fisher Ronald A., 1935, DESIGN EXPT

[8] Confidence intervals from randomization tests [J].

Garthwaite, PH .

BIOMETRICS, 1996, 52 (04) :1387-1393

[9]

GROGAN W L JR, 1981, Proceedings of the Biological Society of Washington, V94, P1279

[10]

Higgins J.J., 2004, Introduction to Modern Nonparametric Statistics

← 1 2 →