On the Equivalence of the Johnson-Neyman Technique and Fieller's Theorem

Autor:	James R. Schwenke
Rok vydání:	2007
Předmět:	Statistics and Probability Analysis of covariance Fieller's theorem General Medicine Covariance Confidence interval BLISS Statistics Covariate Applied mathematics Statistics Probability and Uncertainty computer Equivalence (measure theory) Mathematics computer.programming_language
Zdroj:	Biometrical Journal. 32:441-447
ISSN:	1521-4036 0323-3847
Popis:	It is shown that for the one-way analysis of covariance model with one covariate, when the hypothesis of a common slope parameter has been rejected, the Johnson-Neyman procedure results in a confidence interval equivalent to that obtained using Fieller's theorem. It is noted in Fieller's paper that the theory behind this technique was first introduced by Bliss, but not specifically applied to the analysis of covariance problem. Credit for this procedure should be shared by Bliss, Fieller, and Johnson and Neyman.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0ceff15c5b5ae19ce2d66ca14e6a24cc https://doi.org/10.1002/bimj.4710320408 Zobrazit plný text záznamu Plný text