Transformation and Weighting in Regression - Chapman & Hall / CRC Monographs on Statistics and Applied Probability - Carroll, Raymond J. (Texas A&M University, College Station, USA) - Grāmatas - Taylor & Francis Ltd - 9780367403379 - 2019. gada 27. septembris
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Transformation and Weighting in Regression - Chapman & Hall / CRC Monographs on Statistics and Applied Probability 1. izdevums

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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

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists 2019. gada 27. septembris
ISBN13 9780367403379
Izdevēji Taylor & Francis Ltd
Lapas 264
Izmēri 150 × 220 × 10 mm   ·   453 g
Valoda Angļu  
Sērijas redaktors Cox, D.R. (Nuffield College, Oxford University, UK)
Sērijas redaktors Isham, Valerie
Sērijas redaktors Keiding, Niels (University of Copenhagen, Denmark)
Sērijas redaktors 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)
Sērijas redaktors Reid, N. (University of Toronto, Ontario, Canada)
Sērijas redaktors Tibshirani, R.J. (Stanford university Stanford University Stanford University, California, USA Stanford University, California, USA)
Sērijas redaktors Tong, Howell (London School of Economics, UK London School of Economics, UK)

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