Title: Applied Linear Statistical Models, 5th Edition
Summary:
Content Overview:
“Applied Linear Statistical Models” presents a comprehensive and practical approach to understanding and applying linear statistical models in various fields. Authored by Michael H. Kutner, Christopher J. Nachtsheim, John Neter, and William Li, this fifth edition covers key concepts and techniques essential for analyzing and interpreting data using linear regression models. The book explores topics such as model building, diagnostics, inference, and interpretation, providing readers with a solid foundation in regression analysis and its applications. With real-world examples, case studies, and exercises, the book offers practical insights into the use of linear models for predictive modeling, hypothesis testing, and decision-making in diverse fields such as engineering, business, social sciences, and health sciences.
Authors:
Michael H. Kutner: Michael H. Kutner was a renowned statistician and educator known for his contributions to applied statistics and regression analysis. He served as a professor at Emory University and made significant contributions to the field through his research, teaching, and consulting work. Kutner’s expertise in regression modeling and his ability to communicate complex statistical concepts in a clear and accessible manner have made his books indispensable resources for students and practitioners alike.
Christopher J. Nachtsheim: Christopher J. Nachtsheim is a distinguished professor of statistics known for his research in experimental design and regression analysis. He has co-authored several books on statistical methods and has received numerous awards for his contributions to the field of statistics. Nachtsheim’s expertise in applied statistics and his commitment to excellence in teaching have earned him widespread recognition and respect in the academic community.
John Neter: John Neter was a respected statistician and educator known for his work in regression analysis and experimental design. He served as a professor at the University of Georgia and contributed to the development of statistical methods for research in various fields. Neter’s books on applied statistics have been widely used in academic settings and have helped generations of students master statistical concepts and techniques.
William Li: William Li is a statistician and educator known for his expertise in regression analysis and multivariate statistical methods. He has co-authored several books on applied statistics and has taught courses on regression analysis and data analysis at various universities. Li’s practical approach to teaching and his focus on real-world applications make his books valuable resources for students and practitioners seeking to apply statistical methods in their research and work.
Publisher:
“Applied Linear Statistical Models, 5th Edition” is published by McGraw Hill