Rabu, 28 Januari 2015

PDF Download Regression Analysis: Theory, Methods, and Applications (Springer Texts in Statistics)By Ashish Sen, Muni Srivastava

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PDF Download Regression Analysis: Theory, Methods, and Applications (Springer Texts in Statistics)By Ashish Sen, Muni Srivastava

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Regression Analysis: Theory, Methods, and Applications (Springer Texts in Statistics)By Ashish Sen, Muni Srivastava

Regression Analysis: Theory, Methods, and Applications (Springer Texts in Statistics)By Ashish Sen, Muni Srivastava


Regression Analysis: Theory, Methods, and Applications (Springer Texts in Statistics)By Ashish Sen, Muni Srivastava


PDF Download Regression Analysis: Theory, Methods, and Applications (Springer Texts in Statistics)By Ashish Sen, Muni Srivastava

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Regression Analysis: Theory, Methods, and Applications (Springer Texts in Statistics)By Ashish Sen, Muni Srivastava

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.

  • Sales Rank: #7263271 in Books
  • Brand: Brand: Springer
  • Published on: 1990-01-01
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.25" h x .83" w x 6.10" l, 1.13 pounds
  • Binding: Paperback
  • 348 pages
Features
  • Used Book in Good Condition

Review
"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

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