Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846551554 ISBN 13: 9783846551554
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Language: English
Published by LAP Lambert Academic Publishing, 2012
ISBN 10: 3846551554 ISBN 13: 9783846551554
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Bayesian Inference for the Simple and Mixture of Laplace Distribution | An application to Industrial Processes | Sajid Ali (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783846551554 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Language: English
Published by Lap Lambert Academic Publishing, 2012
ISBN 10: 3846551554 ISBN 13: 9783846551554
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Paperback. Condition: Brand New. 280 pages. 8.66x5.91x0.64 inches. In Stock.
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846551554 ISBN 13: 9783846551554
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ali SajidSajid Ali is a PhD candidate at Department of Decision Sciences, Bocconi University Milan, Italy. He received his MPhil Statistics degree from Quaid-I-Azam University, Islamabad, Pakistan, in 2010. His research interest incl.
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846551554 ISBN 13: 9783846551554
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand.
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846551554 ISBN 13: 9783846551554
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND.
Language: English
Published by LAP Lambert Academic Publishing, 2012
ISBN 10: 3846551554 ISBN 13: 9783846551554
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The scientific scuffle over Bayesian is less well known but lasted far longer, for 150 years. It concerned a broader and more essential issue: how we analyze facts, change our minds as we get new information, and make coherent decisions in the face of uncertainty. Bayes rule appears to be a frank, just one line theorem: by updating our preliminary viewpoint with objective new information, we get a new and enhanced confidence. To its adherents, it is an elegant statement about learning from experience. In this book we considered the homogenous and heterogeneous population for the Laplace lifetime model. The Bayesian approach is used and model is analyzed using various informative and noninformative priors under different loss functions. This book can play a role of teacher for the practitioner(s) who wants to learn the elegant Bayesian methodology. Extensive references to journal articles and other technical literature should assist the reader in applying the methods described in this book. We hope that readers will enjoy this book.