Christopher K. Wikle, Andrew Zammit-Mangion, Noel Cressie

Spatio-Temporal Statistics with R (eBook, PDF)

• Format: PDF

Produktbeschreibung

Spatio-Temporal Statistics with R provides an accessible introduction to statistical analysis of spatio-temporal data, with hands-on applications of the statistical methods using R Labs found at the end of each chapter.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 396
• Erscheinungstermin: 18. Februar 2019
• Englisch
• ISBN-13: 9780429649783
• Artikelnr.: 55288557

Autorenporträt

CHRISTOPHER K. WIKLE is Curators' Distinguished Professor and Chair of the Department of Statistics at the University of Missouri, USA.

ANDREW ZAMMIT-MANGION is a Discovery Early Career Researcher Award (DECRA) Fellow and Senior Lecturer in the School of Mathematics and Applied Statistics at the University of Wollongong, Australia.

NOEL CRESSIE, FAA is Distinguished Professor in the School of Mathematics and Applied Statistics and Director of the Centre for Environmental Informatics at the University of Wollongong, Australia.

Inhaltsangabe

1. Introduction to Spatio
Temporal Statistics. 2. Exploring Spatio
Temporal Data. 3. Spatio
Temporal Statistical Models. 4. Descriptive Spatio
Temporal Statistical Models. 5. Dynamic Spatio
Temporal Models. 6. Evaluating Spatio
Temporal Statistical Models. Pergimus (Epilogue). Appendices.