Applied Regression Analysis And Other Multivariable Methods(4th Edition)
Authors:
David G. Kleinbaum, Lawrence L. Kupper, Azhar Nizam, Keith E. Muller
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Solution Manual Includes
Price:
$9.99
Book details
ISBN: 0495384968, 978-0495384960
Book publisher: Duxbury Press
Book Price $0 : Applied Regression Analysis and Other Multivariable Methods, 4th Edition, by David G. Kleinbaum, Lawrence L. Kupper, Azhar Nizam, and Keith E. Muller serves as an essential textbook for understanding multivariable statistical techniques. This comprehensive guide dives deep into linear regression, logistic regression, and survival analysis, providing practical applications with significant real-world data sets. The authors emphasize a clear and structured presentation of regression diagnostics, model validation, and the use of generalized linear models. Key technical terms such as multicollinearity, factor analysis, and data transformation are naturally interwoven throughout the text, offering students and statisticians a robust framework for data analysis. The inclusion of a solution manual and an answer key ensures that learners can effectively apply what they learn, while the thoroughly organized table of contents allows for quick navigation of complex topics. The book's precise and methodical approach to solving multivariable problems has been widely appreciated in academic settings, making it a staple in the field of applied statistics. It’s perfect for individuals seeking analytical proficiency in various areas of research, with a strong emphasis on both theoretical understanding and practical implementation. This edition enhances comprehension with its systematic methods and is a vital resource for anyone aiming to excel in statistical fields requiring multivariable analysis. "Applied Regression Analysis and Other Multivariable Methods" integrates core statistical concepts and advanced methods suitable for academic and professional advancement. By bridging methodological expertise with hands-on solutions, the book remains pivotal for those looking to excel in statistical methodology. Designed as a cost-effective solution, this cheap guide assists students in mastering difficult subjects.
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