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OverviewThis book and the Excel add-in BugsXLA make a nice contribution to the Bayesian ecosystem.One of its strongest features is the case studies for the different models the book clearly and accurately describes how to use BugsXLA. Each model and feature is illustrated with at least one case study. The author's style is rich but clear and comprehensible even for non-technical readers.I would recommend this book to statisticians who already know Bayesian theory and MCMC algorithms and understand the use of specific statistical software like WinBUGS or R. For these readers, the book is an excellent manual and a precious source of suggestions to quickly and efficiently implement complex Bayesian linear models in Excel. Full Product DetailsAuthor: Joshua DeeganPublisher: Createspace Independent Publishing Platform Imprint: Createspace Independent Publishing Platform Dimensions: Width: 21.60cm , Height: 1.30cm , Length: 27.90cm Weight: 0.576kg ISBN: 9781981725779ISBN 10: 1981725776 Publication Date: 16 May 2017 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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