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Springer Texts in Statistics : Theory, Methods, and Applications - Ashish Sen

Springer Texts in Statistics

Theory, Methods, and Applications

By: Ashish Sen, Muni Srivastava

Hardcover | 1 April 1997 | Edition Number 4

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This book gives an up-to-date, rigorous, and lucid treatment of the theory, methods, and applications of regression analysis. It is ideally suited for those interested in the theory of regression analysis as well as to 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 the craft of regression analysis. Consequently, this book provides a sound foundation in the theory of this important subject. "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." "Mathematical 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"
Industry Reviews
"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

You Can Find This Book In

Non-FictionMathematicsProbability & StatisticsPsychologyPsychological Theory, Systems, Schools of Thought & ViewpointsPsychoanalytical Theory & Freudian PsychologyScienceChemistryEngineering & TechnologyElectronics & Communications EngineeringElectronics EngineeringEconomics
EconometricsEconomic StatisticsApplied MathematicsStochastics

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