Applied Regression and Modeling - Sahay, Amar
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The book is divided into three parts - (1) prerequisite to regression analysis followed by a discussion on simple regression, (2) multiple regression analysis with applications, and (3) regression and modeling including the second order models, nonlinear regression, and interaction models in regressions. All these sections provide examples with complete computer analysis and instructions commonly used in modeling and analyzing these problems. The book deals with detailed analysis and interpretation of computer results. This will help readers to appreciate the power of computer in applying…mehr

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Produktbeschreibung
The book is divided into three parts - (1) prerequisite to regression analysis followed by a discussion on simple regression, (2) multiple regression analysis with applications, and (3) regression and modeling including the second order models, nonlinear regression, and interaction models in regressions. All these sections provide examples with complete computer analysis and instructions commonly used in modeling and analyzing these problems. The book deals with detailed analysis and interpretation of computer results. This will help readers to appreciate the power of computer in applying regression models. The readers will find that the understanding of computer results is critical to implementing regression and modeling in real world situation. The book is written for juniors, seniors and graduate students in business, MBAs, professional MBAs, and working people in business and industry. Managers, practitioners, professionals, quality professionals, quality engineers, and anyone involved in data analysis, business analytics, and quality and six sigma will find the book to be a valuable resource.
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Autorenporträt
Dr. Amar Sahay is a professor of decision sciences engaged in teaching, research, consulting, and training. He holds a BS in production engineering (BIT, India), MS in industrial engineering, and a PhD in mechanical engineering-both from the University of Utah. He has taught and is teaching at several institutions in Utah, including the University of Utah (School of Engineering and Management), SLCC, Westminster College, and others. Amar is a certified Six Sigma Master Black Belt and is also lean manufacturing/lean management certified. He has contributed a number of research papers in national and international journals/proceedings to his credit. Amar has authored around 10 books in the areas of data visualization, business analytics, Six Sigma, statistics and data analysis, modeling, and applied regression. He is also associated with QMS Global LLC, a company engaged in data visualization, analytics, quality, lean six sigma, manufacturing, and systems analysis services. Amar is a senior member of the Industrial & Systems Engineers, the American Society for Quality (ASQ), and Data Science.