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OverviewFull Product DetailsAuthor: J.L. Schafer , D.R. Cox (Nuffield College, Oxford University, UK) , N. Reid (University of Toronto, Ontario, Canada) , Valerie IshamPublisher: Taylor & Francis Ltd Imprint: CRC Press Weight: 0.760kg ISBN: 9781032477992ISBN 10: 1032477997 Pages: 444 Publication Date: 21 January 2023 Audience: College/higher education , Tertiary & Higher Education Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsIntroduction Assumptions EM and Inference by Data Augmentation Methods for Normal Data More on the Normal Model Methods for Categorical Data Loglinear Models Methods for Mixed Data Further Topics Appendices References IndexReviewsOverall, the book provides a sound basis on which one can build when dealing with real data...I take pleasure in recommending this well-written text. -Rainer Schlittgen in Statistical Papers This book provides an excellent introduction to statistical inference...Thanks to the clear and relatively complete treatment of many of the main ideas in this area, even theoretically oriented readers may find this book worthwhile. -Mark Steel, Mathematical Reviews """Overall, the book provides a sound basis on which one can build when dealing with real data…I take pleasure in recommending this well-written text."" -Rainer Schlittgen in Statistical Papers ""This book provides an excellent introduction to statistical inference…Thanks to the clear and relatively complete treatment of many of the main ideas in this area, even theoretically oriented readers may find this book worthwhile."" -Mark Steel, Mathematical Reviews" Author InformationJ.L. Schafer Tab Content 6Author Website:Countries AvailableAll regions |