Likelihood and Bayesian Estimation Methods for Poisson Process Models in Software Reliability

The contents and function of a computer package to fit reliability models for computer software are outlined. Parameters in the models are, in the first place, estimated by maximum likelihood estimation procedures. Bayesian estimation methods are also used and are shown to give estimates with a smaller variance than their MLE counterparts. An example of the application to a particular set of failure times is given.

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Year of publication:	1990
Authors:	Bunday, B.D. ; Al‐Ayoubi, I.D.
Published in:	International Journal of Quality & Reliability Management. - MCB UP Ltd, ISSN 1758-6682, ZDB-ID 1466792-7. - Vol. 7.1990, 5
Publisher:	MCB UP Ltd
Subject:	BAYESIAN STATISTICS \| ESTIMATING \| RELIABILITY \| SOFTWARE DEVELOPMENT

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Type of publication:	Article
Type of publication (narrower categories):	research-article
Language:	English
Other identifiers:	10.1108/02656719010136094 [DOI]
Source:	Other ZBW resources

Persistent link: https://www.econbiz.de/10014800805