Categorical Data Analysis(2nd Edition)
Authors:
Alan Agresti
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Solution Manual Includes
Price:
$9.99
Book details
ISBN: 470463635, 978-0-471-4587, 978-0471360933
Book publisher: Wiley-Interscience
Book Price $0 : Categorical Data Analysis by Alan Agresti is an authoritative text that delves deeply into statistical methods for analyzing categorical data. The second edition of this comprehensive guide expands on its predecessor by incorporating modernized techniques and an accessible solution manual. Key themes in the book include logistic regression, loglinear models, and methods for matched pairs. The main 'characters' in this mathematical journey are advanced statistical tools and methods used extensively in the realms of data science and applied statistics. Initially, it explores fundamental concepts like contingency tables, offering readers an 'answer key' to understand complex data interactions. Agresti masterfully integrates theory with practical applications, ensuring that statisticians and data analysts can apply this knowledge effectively in fields ranging from epidemiology to social sciences. The book is highly regarded for its clear exposition and comprehensive table of content that guides both novice and experienced statisticians through the intricacies of categorical data. Chapters are structured to facilitate learning, with examples and exercises that encourage real-world application. Reception of Agresti’s work has been overwhelmingly positive, with accolades for making intricate statistical methodologies accessible to a broad audience, thereby serving as an essential resource in both academic and professional settings. The inclusion of a solution manual enhances its utility as a teaching tool in university courses.
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