Author: David G. Kleinbaum
Publisher:
Publish Date: 2003-06-01
Features: This book provides new content for regression analysis methods applicable to real-world problems and introduces the statistical thinking behind them and their applications. The book not only systematically elaborates on the classic content of regression analysis but also introduces many new ideas and developments in the fields of regression analysis and multivariate methods in recent years. It explains the assumptions of various methods, including model building and intuitive logic, as well as their objectives, strengths, weaknesses, and detailed descriptions. While presenting the basic concepts and theories, the author strives to reflect the current popular thinking in this field. The author is an expert in biostatistics and is very familiar with regression analysis. The book focuses on practical skills that may be useful in actual research, making it suitable as a textbook or teaching reference for graduate students and senior undergraduate students in higher education. It is also an invaluable reference book for professionals and theoretical researchers in fields such as health sciences, social sciences, biological sciences, and behavioral sciences.
Applied Regression Analysis and Other Multivariate Methods (English Edition. 3rd Edition)
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