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Shonosuke Sugasawa is an Associate Professor in the Center for Spatial Information Science at the University of Tokyo. His research interests include Bayesian modeling, spatial statistics and mixed-effects modeling.
Tatsuya Kubokawa is a Professor in the Faculty of Economics at the University of Tokyo. His research interests include statistical decision theory, multivariate analysis and mixed-effects modeling.
Introduces not only classical theory of mixed-effects models but also recently proposed techniques
Explains in detail self-contained theory and methods of mixed-effects models adopted in small area
Illustrates several numerical examples for readers' understanding of mixed-effects models and small area estimation
Introduction.- General Mixed-Effects Models and BLUP.- Measuring Uncertainty of Predictors.- Basic mixed-effects Models for Small Area Estimation.- Hypothesis Tests and Variable Selection.- Advanced Theory of Basic Small Area Models.- Small Area Models for Non-normal Response Variables.- Extensions of Basic Small Area Models.
Erscheinungsjahr: | 2023 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Reihe: | JSS Research Series in Statistics |
Inhalt: |
viii
121 S. 1 s/w Illustr. 121 p. 1 illus. |
ISBN-13: | 9789811994852 |
ISBN-10: | 9811994854 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: |
Kubokawa, Tatsuya
Sugasawa, Shonosuke |
Auflage: | 1st ed. 2023 |
Hersteller: |
Springer Singapore
Springer Nature Singapore JSS Research Series in Statistics |
Maße: | 235 x 155 x 8 mm |
Von/Mit: | Tatsuya Kubokawa (u. a.) |
Erscheinungsdatum: | 04.02.2023 |
Gewicht: | 0,213 kg |
Shonosuke Sugasawa is an Associate Professor in the Center for Spatial Information Science at the University of Tokyo. His research interests include Bayesian modeling, spatial statistics and mixed-effects modeling.
Tatsuya Kubokawa is a Professor in the Faculty of Economics at the University of Tokyo. His research interests include statistical decision theory, multivariate analysis and mixed-effects modeling.
Introduces not only classical theory of mixed-effects models but also recently proposed techniques
Explains in detail self-contained theory and methods of mixed-effects models adopted in small area
Illustrates several numerical examples for readers' understanding of mixed-effects models and small area estimation
Introduction.- General Mixed-Effects Models and BLUP.- Measuring Uncertainty of Predictors.- Basic mixed-effects Models for Small Area Estimation.- Hypothesis Tests and Variable Selection.- Advanced Theory of Basic Small Area Models.- Small Area Models for Non-normal Response Variables.- Extensions of Basic Small Area Models.
Erscheinungsjahr: | 2023 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Reihe: | JSS Research Series in Statistics |
Inhalt: |
viii
121 S. 1 s/w Illustr. 121 p. 1 illus. |
ISBN-13: | 9789811994852 |
ISBN-10: | 9811994854 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: |
Kubokawa, Tatsuya
Sugasawa, Shonosuke |
Auflage: | 1st ed. 2023 |
Hersteller: |
Springer Singapore
Springer Nature Singapore JSS Research Series in Statistics |
Maße: | 235 x 155 x 8 mm |
Von/Mit: | Tatsuya Kubokawa (u. a.) |
Erscheinungsdatum: | 04.02.2023 |
Gewicht: | 0,213 kg |