The Weighted Likelihood Ratio, Linear Hypotheses on Normal Location Parameters

Dickey, James M.

Ann. Math. Statist., Tome 42 (1971) no. 6, p. 204-223 / Harvested from Project Euclid

Résumé

Raiffa and Schlaifer's theory of conjugate prior distributions is here applied to Jeffrey's theory of tests for a sharp hypothesis, for simple normal sampling, for model I analysis of variance, and for univariate and multivariate Behrens-Fisher probelms. Leonard J. Savage's Bayesianization of Jeffrey's theory is given with new generalizations. A new conjugate prior family for normal sampling which allows prior independence of unknown mena and variance is given.

Publié le : 1971-02-14
Classification:

@article{1177693507,
     author = {Dickey, James M.},
     title = {The Weighted Likelihood Ratio, Linear Hypotheses on Normal Location Parameters},
     journal = {Ann. Math. Statist.},
     volume = {42},
     number = {6},
     year = {1971},
     pages = { 204-223},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1177693507}
}

Dickey, James M. The Weighted Likelihood Ratio, Linear Hypotheses on Normal Location Parameters. Ann. Math. Statist., Tome 42 (1971) no. 6, pp.  204-223. http://gdmltest.u-ga.fr/item/1177693507/