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Environmental Statistics Coming Soon!
Multivariate Geostatistical Models
Introduction to Spatial Econometrics
Inference and Computation
James LeSage
Hao Zhang
McCoy College of Business Administration, San Marcos, Texas, USA
Purdue University, West Lafayette, Indiana, USA Chapman & Hall/CRC Monographs on Statistics & Applied Probability
This book provides complete coverage of all key topics in this area, including modeling and estimating the multivariate covariogram, multivariate spatial generalized linear mixed models, and multivariate non-Gaussian models. Illustrated with detailed worked examples from a range of disciplines, the book implements methods using Markov chain Monte Carlo (MCMC) simulation for Bayesian inference. Catalog no. C6994, October 2011, c. 320 pp. ISBN: 978-1-58488-699-0, $89.95 / £57.99
R. Kelley Pace Louisiana State University, Baton Rouge, USA Statistics: A Series of Textbooks and Monographs
This book presents a variety of regression methods for analyzing spatial data samples that violate the traditional assumption of independence between observations. It explores a range of alternative topics, including maximum likelihood and Bayesian estimation, various types of spatial regression specifications, and applied modeling situations involving different circumstances. The authors clarify the often-mystifying phenomenon of simultaneous spatial dependence. MATLAB® toolboxes useful for spatial econometric estimation are made available on the authors’ websites.
Catalog no. C6424, 2009, 374 pp. ISBN: 978-1-4200-6424-7, $89.95 / £57.99 Also available as an eBook
Coming Soon!
Bayesian Modeling of Ecological Data
Handbook of Spatial Statistics
Eric Parent
Edited by
ENGREF, Paris, France
Alan E. Gelfand, Peter J. Diggle, Montserrat Fuentes, and Peter Guttorp
Etienne Rivot Fisheries & Aquatic Sciences Center, Rennes Cedex, France Statistics: A Series of Textbooks and Monographs
This book is designed for readers who are interested in the quantitative analysis of environmental data yet reluctant to apply ready-made technical recipes without understanding how and why they work. It focuses on up-to-date ecological issues, including biodiversity, community behavior, and genomics, and shows how they could be revisited by using Bayesian modeling techniques. Highly practical, the text encourages readers to deal with advanced ecological issues in practice and to implement models of their own. Catalog no. C9195, November 2011, c. 352 pp. ISBN: 978-1-58488-919-9, $89.95 / £57.99
Chapman & Hall/CRC Handbooks of Modern Statistical Methods
This handbook provides broad, thorough coverage of this vibrant area, from historical to contemporary topics. It explores the modeling advances, computational approaches, and methodology that have emerged in recent years. The book focuses on continuous and discrete spatial variation, spatial point patterns, and spatio-temporal processes. It also covers multivariate spatial process models, spatial aggregation, spatial misalignment, and spatial gradients in depth. The theory and applications are illustrated with many real-world data examples. Catalog no. C7287, 2010, 619 pp. ISBN: 978-1-4200-7287-7, $99.95 / £63.99 Also available as an eBook
For more information and complete contents, visit www.crcpress.com
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