Handbook of Spatial Statistics (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

ISBN 10: 1420072870 / ISBN 13: 9781420072877

Verlag: CRC Press, 2010

Beschreibung

This copy may contain significant wear, including bending, heavy writing, tears, and or water damage. This book is a functional copy, not necessarily a beautiful copy. Copy may have loose pages. May not include access codes or CDs. May be an Ex library book with stickers and stamps. Dustjacket may be missing. Bestandsnummer des Verkäufers GBV.1420072870.A

Bibliografische Details

Titel: Handbook of Spatial Statistics (Chapman & ...

Verlag: CRC Press

Erscheinungsdatum: 2010

Einband: Hardcover

Zustand: acceptable

Über diesen Titel

Inhaltsangabe:

Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturing area. It takes a unified, integrated approach to the material, providing cross-references among chapters.

The handbook begins with a historical introduction detailing the evolution of the field. It then focuses on the three main branches of spatial statistics: continuous spatial variation (point referenced data); discrete spatial variation, including lattice and areal unit data; and spatial point patterns. The book also contains a section on space–time work as well as a section on important topics that build upon earlier chapters.

By collecting the major work in the field in one source, along with including an extensive bibliography, this handbook will assist future research efforts. It deftly balances theory and application, strongly emphasizes modeling, and introduces many real data analysis examples.

Über die Autorin bzw. den Autor:

Alan E. Gelfand, Department of Statistical Science, Duke University, Durham, North Carolina, USA

Peter J. Diggle, School of Health and Medicine, Lancaster University, UK

Montserrat Fuentes, Department of Statistics, North Carolina State University, Raleigh, USA

Peter Guttorp, Department of Statistics, University of Washington, Seattle, USA, and Norwegian Computing Center, Oslo, Norway