Regression Analysis
Theory, Methods, and Applications
(Sprache: Englisch)
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...
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Klappentext zu „Regression Analysis “
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.
Inhaltsverzeichnis zu „Regression Analysis “
- Introduction- Multiple Regression
- Tests and Confidence Regions
- Indicator Variables
- The Normality Assumption
- Unequal Variances
- Correlated Errors
- Outliers and Influential Observations
- Transformations
- Multicollinearity
- Variable Selection
- Biased Estimation
Bibliographische Angaben
- Autoren: Ashish Sen , Muni Srivastava
- 1997, 1st ed. 1990. 3rd corr. printing 1997, 348 Seiten, 38 Abbildungen, Masse: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, New York
- ISBN-10: 0387972110
- ISBN-13: 9780387972114
- Erscheinungsdatum: 01.04.1997
Sprache:
Englisch
Rezension zu „Regression Analysis “
"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 StatisticalAssociation"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
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