Author: David G. Kleinbaum
Publisher: Cengage Learning
ISBN: 9781285175072
Category : Mathematics
Languages : en
Pages : 0
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Book Description
The SSM features worked solutions to select problems in Applied Regression Analysis and Other Multivariable Methods, 5. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: David G. Kleinbaum
Publisher: Duxbury Resource Center
ISBN:
Category : Mathematics
Languages : en
Pages : 748
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Book Description
* An introductory text for undergraduates, graduates, and working professionals; emphasizes applications in public health, biology, and the social and behavioral sciences.
Author: Hafner
Publisher: PWS Publishing Company
ISBN: 9780534915131
Category : Multivariate analysis
Languages : en
Pages : 112
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Book Description
* An introductory text for undergraduates, graduates, and working professionals; emphasizes applications in public health, biology, and the social and behavioral sciences.
Author: David G. Kleinbaum
Publisher: Cengage Learning
ISBN: 9781285051086
Category : Mathematics
Languages : en
Pages : 0
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Book Description
This bestseller will help you learn regression-analysis methods that you can apply to real-life problems. It highlights the role of the computer in contemporary statistics with numerous printouts and exercises that you can solve using the computer. The authors continue to emphasize model development, the intuitive logic and assumptions that underlie the techniques covered, the purposes, advantages, and disadvantages of the techniques, and valid interpretations of those techniques. Available with InfoTrac Student Collections http://gocengage.com/infotrac. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: Terry Dielman
Publisher: South-Western College
ISBN: 9780534465506
Category : Commercial statistics
Languages : en
Pages : 176
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Book Description
Provides worked-out solutions to odd-numbered problems in the text.
Author: David Kleinbaum
Publisher: Cengage Learning
ISBN: 9780495384960
Category : Mathematics
Languages : en
Pages : 928
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Book Description
This bestseller is known for its modern, practical approach to regression-analysis methods that students will find applicable to real-life problems. APPLIED REGRESSION ANALYSIS AND MULTIVARIABLE METHODS highlights the role of the computer in contemporary statistics with numerous printouts and exercises that can be solved with the computer. The authors continue to emphasize model development, the intuitive logic and assumptions that underlie the techniques covered, the purposes, advantages, and disadvantages of the techniques, and valid interpretations of those techniques. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: D.G.·克雷鲍姆
Publisher:
ISBN: 9787111123194
Category : Multivariate analysis
Languages : en
Pages : 798
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Book Description
本书责任者还有:(美)Lawrence L. Kupper、(美)Keith E. Muller、(美)Azhar Nizam。
Author: Michael Kutner
Publisher: McGraw-Hill Education
ISBN: 9780072918397
Category : Education
Languages : en
Pages :
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Book Description
Author: Douglas C. Montgomery
Publisher: John Wiley & Sons
ISBN: 1118548507
Category : Mathematics
Languages : en
Pages : 112
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Book Description
As the Solutions Manual, this book is meant to accompany the main title, Introduction to Linear Regression Analysis, Fifth Edition. Clearly balancing theory with applications, this book describes both the conventional and less common uses of linear regression in the practical context of today's mathematical and scientific research. Beginning with a general introduction to regression modeling, including typical applications, the book then outlines a host of technical tools that form the linear regression analytical arsenal, including: basic inference procedures and introductory aspects of model adequacy checking; how transformations and weighted least squares can be used to resolve problems of model inadequacy; how to deal with influential observations; and polynomial regression models and their variations. The book also includes material on regression models with autocorrelated errors, bootstrapping regression estimates, classification and regression trees, and regression model validation.
Author: Terry E. Dielman
Publisher:
ISBN: 9780534380458
Category :
Languages : en
Pages :
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Book Description
