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Transformation and Weighting in Regression - Chapman & Hall / CRC Monographs on Statistics and Applied Probability Raymond J. Carroll 1.º edición
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Transformation and Weighting in Regression - Chapman & Hall / CRC Monographs on Statistics and Applied Probability
Raymond J. Carroll
This monograph provides a careful review of the major statistical techniques used to analyze regression data with nonconstant variability and skewness. The authors have developed statistical techniques--such as formal fitting methods and less formal graphical techniques-- that can be applied to many problems across a range of disciplines, including pharmacokinetics, econometrics, biochemical assays, and fisheries research.
While the main focus of the book in on data transformation and weighting, it also draws upon ideas from diverse fields such as influence diagnostics, robustness, bootstrapping, nonparametric data smoothing, quasi-likelihood methods, errors-in-variables, and random coefficients. The authors discuss the computation of estimates and give numerous examples using real data. The book also includes an extensive treatment of estimating variance functions in regression.
264 pages
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 27 de septiembre de 2019 |
| ISBN13 | 9780367403379 |
| Editores | Taylor & Francis Ltd |
| Páginas | 264 |
| Dimensiones | 150 × 220 × 10 mm · 453 g |
| Lengua | Inglés |
| Editor de series | Cox, D.R. (Nuffield College, Oxford University, UK) |
| Editor de series | Isham, Valerie |
| Editor de series | Keiding, Niels (University of Copenhagen, Denmark) |
| Editor de series | Louis, Thomas A. (Johns Hopkins Bloomberg School of Public Health, MD, USA Johns Hopkins Bloomberg School of Public Health, Baltimore, Johns Hopkins Bloomberg, Baltimore, Maryland, USA) |
| Editor de series | Reid, N. (University of Toronto, Ontario, Canada) |
| Editor de series | Tibshirani, R.J. (Stanford university Stanford University Stanford University, California, USA Stanford University, California, USA) |
| Editor de series | Tong, Howell (London School of Economics, UK London School of Economics, UK) |
