Student Solutions Manual for Dielman's Applied Regression Analysis PDF Download
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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: 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 G. Kleinbaum
Publisher: Cengage Learning
ISBN: 1305848535
Category : Mathematics
Languages : en
Pages : 156
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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: Nelson Education
ISBN: 1305848535
Category : Mathematics
Languages : en
Pages : 156
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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: Terry E. Dielman
Publisher:
ISBN: 9780534380458
Category :
Languages : en
Pages :
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Book Description
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: Michael Kutner
Publisher: McGraw-Hill Education
ISBN: 9780072918397
Category : Education
Languages : en
Pages :
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Book Description
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: Douglas C. Montgomery
Publisher: John Wiley & Sons
ISBN: 1118548507
Category : Mathematics
Languages : en
Pages : 164
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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: Douglas C. Montgomery
Publisher: Wiley-Interscience
ISBN: 9780470125069
Category : Mathematics
Languages : en
Pages : 0
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Book Description
A comprehensive and up-to-date introduction to the fundamentals of regression analysis The Fourth Edition of Introduction to Linear Regression Analysis describes both the conventional and less common uses of linear regression in the practical context of today's mathematical and scientific research. This popular book blends both theory and application to equip the reader with an understanding of the basic principles necessary to apply regression model-building techniques in a wide variety of application environments. It assumes a working knowledge of basic statistics and a familiarity with hypothesis testing and confidence intervals, as well as the normal, t, x2, and F distributions. Illustrating all of the major procedures employed by the contemporary software packages MINITAB(r), SAS(r), and S-PLUS(r), the Fourth Edition begins with a general introduction to regression modeling, including typical applications. A host of technical tools are outlined, such as basic inference procedures, introductory aspects of model adequacy checking, and polynomial regression models and their variations. The book discusses how transformations and weighted least squares can be used to resolve problems of model inadequacy and also how to deal with influential observations. Subsequent chapters discuss: * Indicator variables and the connection between regression and analysis-of-variance models * Variable selection and model-building techniques and strategies * The multicollinearity problem--its sources, effects, diagnostics, and remedial measures * Robust regression techniques such as M-estimators, and properties of robust estimators * The basics of nonlinear regression * Generalized linear models * Using SAS(r) for regression problems This book is a robust resource that offers solid methodology for statistical practitioners and professionals in the fields of engineering, physical and chemical sciences, economics, management, life and biological sciences, and the social sciences. Both the accompanying FTP site, which contains data sets, extensive problem solutions, software hints, and PowerPoint(r) slides, as well as the book's revised presentation of topics in increasing order of complexity, facilitate its use in a classroom setting. With its new exercises and structure, this book is highly recommended for upper-undergraduate and beginning graduate students in mathematics, engineering, and natural sciences. Scientists and engineers will find the book to be an excellent choice for reference and self-study.
Author: John Neter
Publisher:
ISBN: 9780256117363
Category : Analysis of variance
Languages : en
Pages : 0
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Book Description
