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Transformation and Weighting in Regression - Chapman & Hall / CRC Monographs on Statistics and Applied Probability Raymond J. Carroll 1st edition
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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
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | September 27, 2019 |
| ISBN13 | 9780367403379 |
| Publishers | Taylor & Francis Ltd |
| Pages | 264 |
| Dimensions | 150 × 220 × 10 mm · 453 g |
| Language | English |
| Series Editor | Cox, D.R. (Nuffield College, Oxford University, UK) |
| Series Editor | Isham, Valerie |
| Series Editor | Keiding, Niels (University of Copenhagen, Denmark) |
| Series Editor | 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) |
| Series Editor | Reid, N. (University of Toronto, Ontario, Canada) |
| Series Editor | Tibshirani, R.J. (Stanford university Stanford University Stanford University, California, USA Stanford University, California, USA) |
| Series Editor | Tong, Howell (London School of Economics, UK London School of Economics, UK) |
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