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| Author | : David W. Hosmer, Jr. |
| Publisher | : Wiley-Interscience |
| Total Pages | : 280 |
| Release | : 2001-10-11 |
| Genre | : Mathematics |
| ISBN | : 9780471208266 |
Presenting information on logistic regression models, this work explains difficult concepts through illustrative examples. This is a solutions manual to accompany applied Logistic Regression, 2nd Edition.
| Author | : David W. Hosmer, Jr. |
| Publisher | : Wiley-Interscience |
| Total Pages | : 0 |
| Release | : 2001-11-13 |
| Genre | : Mathematics |
| ISBN | : 9780471225898 |
From the reviews of the First Edition. "An interesting, useful, and well-written book on logistic regression models. . . Hosmer and Lemeshow have used very little mathematics, have presented difficult concepts heuristically and through illustrative examples, and have included references.
| Author | : David W. Hosmer, Jr. |
| Publisher | : John Wiley & Sons |
| Total Pages | : 397 |
| Release | : 2004-10-28 |
| Genre | : Mathematics |
| ISBN | : 0471654027 |
From the reviews of the First Edition. "An interesting, useful, and well-written book on logistic regression models . . . Hosmer and Lemeshow have used very little mathematics, have presented difficult concepts heuristically and through illustrative examples, and have included references." —Choice "Well written, clearly organized, and comprehensive . . . the authors carefully walk the reader through the estimation of interpretation of coefficients from a wide variety of logistic regression models . . . their careful explication of the quantitative re-expression of coefficients from these various models is excellent." —Contemporary Sociology "An extremely well-written book that will certainly prove an invaluable acquisition to the practicing statistician who finds other literature on analysis of discrete data hard to follow or heavily theoretical." —The Statistician In this revised and updated edition of their popular book, David Hosmer and Stanley Lemeshow continue to provide an amazingly accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets. Hosmer and Lemeshow extend the discussion from biostatistics and epidemiology to cutting-edge applications in data mining and machine learning, guiding readers step-by-step through the use of modeling techniques for dichotomous data in diverse fields. Ample new topics and expanded discussions of existing material are accompanied by a wealth of real-world examples-with extensive data sets available over the Internet.
| Author | : J. Neter |
| Publisher | : |
| Total Pages | : |
| Release | : 1983 |
| Genre | : |
| ISBN | : |
| Author | : Douglas C. Montgomery |
| Publisher | : John Wiley & Sons |
| Total Pages | : 112 |
| Release | : 2013-04-23 |
| Genre | : Mathematics |
| ISBN | : 1118548507 |
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 | : John Neter |
| Publisher | : |
| Total Pages | : 340 |
| Release | : 1990 |
| Genre | : Analysis of variance |
| ISBN | : |
| Author | : David G. Kleinbaum |
| Publisher | : Cengage Learning |
| Total Pages | : 0 |
| Release | : 2015-10-05 |
| Genre | : Mathematics |
| ISBN | : 9781285175072 |
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 |
| Total Pages | : |
| Release | : 2003-09-09 |
| Genre | : Education |
| ISBN | : 9780072918397 |
| Author | : Thomas P. Ryan |
| Publisher | : Wiley |
| Total Pages | : 0 |
| Release | : 2009-03-09 |
| Genre | : Mathematics |
| ISBN | : 9780470096062 |
"Over the years, I have had the opportunity to teach several regression courses, and I cannot think of a better undergraduate text than this one." —The American Statistician "The book is well written and has many exercises. It can serve as a very good textbook for scientists and engineers, with only basic statistics as a prerequisite. I also highly recommend it to practitioners who want to solve real-life prediction problems." (Computing Reviews) Modern Regression Methods, Second Edition maintains the accessible organization, breadth of coverage, and cutting-edge appeal that earned its predecessor the title of being one of the top five books for statisticians by an Amstat News book editor in 2003. This new edition has been updated and enhanced to include all-new information on the latest advances and research in the evolving field of regression analysis. The book provides a unique treatment of fundamental regression methods, such as diagnostics, transformations, robust regression, and ridge regression. Unifying key concepts and procedures, this new edition emphasizes applications to provide a more hands-on and comprehensive understanding of regression diagnostics. New features of the Second Edition include: A revised chapter on logistic regression, including improved methods of parameter estimation A new chapter focusing on additional topics of study in regression, including quantile regression, semiparametric regression, and Poisson regression A wealth of new and updated exercises with worked solutions An extensive FTP site complete with Minitab macros, which allow the reader to compute analyses, and specialized procedures Updated references at the end of each chapter that direct the reader to the appropriate resources for further study An accessible guide to state-of-the-art regression techniques, Modern Regression Methods, Second Edition is an excellent book for courses in regression analysis at the upper-undergraduate and graduate levels. It is also a valuable reference for practicing statisticians, engineers, and physical scientists.
| Author | : Thomas P. Ryan |
| Publisher | : |
| Total Pages | : 128 |
| Release | : 2009 |
| Genre | : Regression analysis |
| ISBN | : |
