Praise for the Fourth Edition:
"This book is . . . an excellent source of examples for regression analysis. It has been and still is readily readable and understandable."
—Journal of the American Statistical Association Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgment. Regression Analysis by Example, Fifth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The book offers in-depth treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression.
The book now includes a new chapter on the detection and correction of multicollinearity, while also showcasing the use of the discussed methods on newly added data sets from the fields of engineering, medicine, and business. The Fifth Edition also explores additional topics, including:
Methods of regression analysis are clearly demonstrated, and examples containing the types of irregularities commonly encountered in the real world are provided. Each example isolates one or two techniques and features detailed discussions, the required assumptions, and the evaluated success of each technique. Additionally, methods described throughout the book can be carried out with most of the currently available statistical software packages, such as the software package R.
Regression Analysis by Example, Fifth Edition is suitable for anyone with an understanding of elementary statistics.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
SAMPRIT CHATTERJEE, PhD, is Professor Emeritus of Statistics at New York University. A Fellow of the American Statistical Association, Dr. Chatterjee has been a Fulbright scholar in both Kazhakstan and Mongolia. He is the coauthor of Sensitivity Analysis in Linear Regression and A Casebook for a First Course in Statistics and Data Analysis, both published by Wiley.
ALI S. HADI, PhD, is a Distinguished University Professor and former vice provost at the American University in Cairo (AUC). He is the founding Director of the Actuarial Science Program at AUC. He is also a Stephen H. Weiss Presidential Fellow and Professor Emeritus at Cornell University. Dr. Hadi is the author of four other books, a Fellow of the American Statistical Association, and an elected Member of the International Statistical Institute.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Spese di spedizione:
EUR 3,05
In U.S.A.
Descrizione libro Hardcover. Condizione: new. Buy for Great customer experience. Codice articolo GoldenDragon0470905840
Descrizione libro Hardcover. Condizione: new. New. Fast Shipping and good customer service. Codice articolo Holz_New_0470905840
Descrizione libro Condizione: new. Codice articolo newMercantile_0470905840
Descrizione libro Hardcover. Condizione: new. New Copy. Customer Service Guaranteed. Codice articolo think0470905840
Descrizione libro Condizione: new. Codice articolo FrontCover0470905840
Descrizione libro Hardcover. Condizione: new. Prompt service guaranteed. Codice articolo Clean0470905840
Descrizione libro Hardcover. Condizione: Brand New. 5th edition. 416 pages. 10.08x7.09x1.10 inches. In Stock. Codice articolo zk0470905840
Descrizione libro Condizione: new. Codice articolo Hafa_fresh_0470905840
Descrizione libro Hardcover. Condizione: new. New. Codice articolo Wizard0470905840
Descrizione libro Condizione: Brand New. Ships SAME or NEXT business day. We Ship to APO/FPO addr. Choose EXPEDITED shipping and receive in 2-5 business days within the United States. See our member profile for customer support contact info. We have an easy return policy. Codice articolo 51872607