Regression Analysis: Theory, Methods, and Applications.

Ashish and Muni S Srivastava Sen

ISBN 10: 0387972110 / ISBN 13: 9780387972114

Verlag: New York Springer Verlag, 1990

Beschreibung

" Gebraucht - Gut Zustand: Gut, Mängelexemplar, XV, 347 pp. 38 figs., 3 1/2\" diskette About this book: An up-to-date, rigorous, and lucid treatment of the theory, methods, and applications of regression analysis, and thus ideally suited for those interested in the theory as well as those whose interests lie primarily with applications. It is further enhanced through real-life examples drawn from many disciplines, showing the difficulties typically encountered in the practice of regression analysis. Consequently, this book provides a sound foundation in the theory of this important subject. Written for grade students ".

Bestandsnummer des Verkäufers 14958

Bibliografische Details

• Titel: Regression Analysis: Theory, Methods, and Applications.
• Verlag: New York Springer Verlag
• Erscheinungsjahr: 1990
• Sprache: Englisch
• ISBN-10: 0387972110
• ISBN-13: 9780387972114
• Einband: Gebunden
• Zustand: Gut

Über diesen Titel

Inhaltsangabe

An up-to-date, rigorous, and lucid treatment of the theory, methods, and applications of regression analysis, and thus ideally suited for those interested in the theory as well as those whose interests lie primarily with applications. It is further enhanced through real-life examples drawn from many disciplines, showing the difficulties typically encountered in the practice of regression analysis. Consequently, this book provides a sound foundation in the theory of this important subject.

Críticas

"I found this to be the most complete and up-to-date regression text I have come across...this text has much to offer."
-Journal of the American Statistical
Association
"The material is presented in a lucid and easy-to-understand style...can be ranked as one of the best textbooks on regression in the market."
-mathermatical Reviews
"...a successful mix of theory and practice...It will serve nicely to teach both the logic behind regression and the data-analytic use of regression."
-SIAM Review