Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 56)
Language: English
Published by Cambridge University Press, 2024
Series: Book 59 of 64 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
- Used

Seller: Friends of the Multnomah County Library, Portland, OR, U.S.A.Friends of the Multnomah County Library
AbeBooks seller since November 12, 2021
Condition: Used - Very good
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Add to basketItem description from seller
No dustjacket as issued. Very minor shelf wear, including a small dent to back cover. Binding tight. All pages intact and free of marks.
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- Title
- Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 56)
- Author
- Stasinopoulos, Mikis D.; Kneib, Thomas; Klein, Nadja; Mayr, Andreas; Heller, Gillian Z.
- Publisher
- Cambridge University Press
- Publication year
- 2024
- Condition
- Very Good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1009410067
- ISBN 13
- 9781009410069
- Series
- Book 59 of 64: Cambridge Series in Statistical and Probabilistic Mathematics
"Synopsis" may belong to another edition of this title.
About the Author
Thomas Kneib is a Professor of Statistics at the University of Göttingen, Germany, where he is the Spokesperson of the interdisciplinary Centre for Statistics and Vice-Spokesperson of the Campus Institute Data Science. His main research interests include semiparametric regression, spatial statistics, and distributional regression.
Nadja Klein is Emmy Noether Research Group Leader in Statistics and Data Science and Professor for Uncertainty Quantification and Statistical Learning at TU Dortmund University and the Research Center Trustworthy Data Science and Security. Nadja is member of the Junge Akademie and associate editor for 'Biometrics,' 'JABES,' and 'Dependence Modeling.' Her. Her research interests include Bayesian methods, statistical and machine learning, and spatial statistics.
Andreas Mayr is a Professor at the Institute for Medical Biometry, Informatics, and Epidemiology at the University of Bonn, Germany. He has authored more than 100 research articles both in statistics as well as medical research and is currently Editor of the 'Statistical Modelling Journal,' Associate Editor of the 'International Journal of Biostatistics,' and Editorial Board Member of the 'International Journal of Eating Disorders.'
Gillian Z. Heller is Professor of Biostatistics at the NHMRC Clinical Trials Centre, University of Sydney. She has coauthored four books in the regression modelling area, the first directed towards actuarial applications of the generalized linear model, and the remaining three focussing on distributional regression, in particular the GAMLSS framework.
"About the title" may belong to another edition of this title.
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