Handbook of Spatial Statistics (Chapman & Hall/CRC Handbooks of Modern Statistical Methods). Cet article n’est pas disponible.
Langue : anglais
Edité par CRC Press, 2010
Série : Livre 2 sur 27 - Chapman & Hall/CRC Handbooks of Modern Statistical Methods
- Éd. originale
- Livre relié
- Occasion

Vendeur : Textbooks_Source, Columbia, MO, Etats-UnisTextbooks_Source
Vendeur AbeBooks depuis 10 novembre 2017
Etat: Occasion - Satisfaisant
EUR 67,32
Item description from seller
Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
N° de réf. du vendeur 001136397U
- Titre
- Handbook of Spatial Statistics (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
- Éditeur
- CRC Press
- Année de publication
- 2010
- État de l'article
- Good
- Reliure
- hardcover
- Langue
- anglais
- ISBN à 10 chiffres
- 1420072870
- ISBN à 13 chiffres
- 9781420072877
- Édition
- 1st Edition.
- Série
- Livre 2 sur 27: Chapman & Hall/CRC Handbooks of Modern Statistical Methods
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.
« Synopsis » peut appartenir à une autre édition de cet ouvrage.
À propos de l’auteur
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
« A propos de ce titre » peut appartenir à une autre édition de cet ouvrage.