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Bayesian Analysis of the Independent Multi-Normal Process, Neither Mean Nor Precision Known (Classic Reprint) - Softcover

 
9780365656715: Bayesian Analysis of the Independent Multi-Normal Process, Neither Mean Nor Precision Known (Classic Reprint)

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Excerpt from Bayesian Analysis of the Independent Multi-Normal Process, Neither Mean Nor Precision Known<br/><br/>We also show in section 3 that Bayesian joint inference-finding joint posterior and preposterior densities of the mean vector and the variance covariance matrix-is possible even when classical joint inference is not, i.s. When the number of objective sample observations is less than the number of distinct elements of the mean vector and variance-covariance matrix of the process.

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  • PublisherForgotten Books
  • Publication date2024
  • ISBN 10 0365656712
  • ISBN 13 9780365656715
  • BindingPaperback
  • LanguageEnglish
  • Number of pages47

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Albert Ando, G. M. Kaufman
Published by Forgotten Books, 2024
ISBN 10: 0365656712 ISBN 13: 9780365656715
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Paperback. Condition: New. Print on Demand. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9780365656715_0

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