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OverviewThis text bridges the gap between sound theoretcial developments and practical, fruitful methodology by providing solid justification for standard symptotic statistical methods. It contains a unified survey of standard large sample theory and provides access to more complex statistical models that arise in diverse practical applications. Full Product DetailsAuthor: Pranab K. Sen (University of North Carolina, USA) , Julio M. Singer , Julio M. Singer , Jim Zidek (University of British Columbia, Vancouver, Canada)Publisher: Taylor & Francis Ltd Imprint: CRC Press Weight: 0.453kg ISBN: 9781138560819ISBN 10: 1138560812 Pages: 394 Publication Date: 25 January 2019 Audience: Professional and scholarly , Professional & Vocational 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 Contents1 Objectives and Scope: General Introduction 2 Stochastic Convergence 3 Weak Convergence and Central Limit Theorems 4 Large Sample Behavior of Empirical Distributions and Order Statistics 5 Asymptotic Behavior of Estimators and Test Statistics 6 Large Sample Theory for Categorical Data Models 7 Large Sample Theory for Regression Models 8 Invariance Principles in Large Sample TheoryReviewsAuthor InformationPranab Kumar Sen is a statistician, a professor of statistics and the Cary C. Boshamer Professor of Biostatistics at the University of North Carolina at Chapel Hill. Tab Content 6Author Website:Countries AvailableAll regions |
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