Title
Hierarchical Modeling and Analysis for Spatial Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability),Used
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Among the many uses of hierarchical modeling, their application to the statistical analysis of spatial and spatiotemporal data from areas such as epidemiology And environmental science has proven particularly fruitful. Yet to date, the few books that address the subject have been either too narrowly focused on specific aspects of spatial analysis, or written at a level often inaccessible to those lacking a strong background in mathematical statistics.Hierarchical Modeling and Analysis for Spatial Data is the first accessible, selfcontained treatment of hierarchical methods, modeling, and data analysis for spatial and spatiotemporal data. Starting with overviews of the types of spatial data, the data analysis tools appropriate for each, and a brief review of the Bayesian approach to statistics, the authors discuss hierarchical modeling for univariate spatial response data, including Bayesian kriging and lattice (areal data) modeling. They then consider the problem of spatially misaligned data, methods for handling multivariate spatial responses, spatiotemporal models, and spatial survival models. The final chapter explores a variety of special topics, including spatially varying coefficient models.This book provides clear explanations, plentiful illustrations some in full colora variety of homework problems, and tutorials and worked examples using some of the field's most popular software packages.. Written by a team of leaders in the field, it will undoubtedly remain the primary textbook and reference on the subject for years to come.
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- Q: What is the main focus of 'Hierarchical Modeling and Analysis for Spatial Data'? A: The book primarily focuses on hierarchical modeling and its application to the statistical analysis of spatial and spatio-temporal data, particularly in fields like epidemiology and environmental science.
- Q: Who are the authors of this book? A: The book is authored by Sudipto Banerjee, a recognized expert in the field of statistics.
- Q: What types of topics are covered in this book? A: Topics include univariate spatial response data, Bayesian kriging, lattice modeling, handling spatially misaligned data, multivariate spatial responses, spatio-temporal models, and special topics like spatially varying coefficient models.
- Q: Is this book suitable for beginners in statistics? A: Yes, it is designed to be accessible and is a self-contained treatment, making it suitable for readers without a strong background in mathematical statistics.
- Q: How many pages does this book have? A: The book contains a total of 474 pages.
- Q: What edition of the book is available? A: The available edition is the first edition, published on December 17, 2003.
- Q: What is the binding type of this book? A: The book is available in hardcover binding.
- Q: Are there any illustrations in the book? A: Yes, the book includes plentiful illustrations, some of which are in full color.
- Q: Does the book include exercises or tutorials? A: Yes, it features a variety of homework problems, tutorials, and worked examples using popular software packages.
- Q: What condition is the book in? A: The book is listed as being in very good condition.