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Jesper . Ed(S): Moller - Spatial Statistics and Computational Methods - 9780387001364 - V9780387001364
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Spatial Statistics and Computational Methods

€ 124.18
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Description for Spatial Statistics and Computational Methods Paperback. Shows how sophisticated spatial statistical and computational methods apply to a range of problems of importance for applications in science and technology. This volume introduces topics in spatial and computational statistics, which are useful for postgraduate students as well as for experienced statistical researchers. Editor(s): Moller, Jesper. Series: Lecture Notes in Statistics. Num Pages: 219 pages, 121 black & white illustrations. BIC Classification: PBT; UYA. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 12. Weight in Grams: 710.
Spatial statistics and Markov Chain Monte Carlo (MCMC) techniques have each undergone major developments in the last decade. Also, these two areas are mutually reinforcing, because MCMC methods are often necessary for the practical implementation of spatial statistical inference, while new spatial stochastic models in turn motivate the development of improved MCMC algorithms. This volume shows how sophisticated spatial statistical and computational methods apply to a range of problems of increasing importance for applications in science and technology. It consists of four chapters: 1. Petros Dellaportas and Gareth O. Roberts give ... Read more

Product Details

Format
Paperback
Publication date
2003
Publisher
Springer-Verlag New York Inc. United States
Number of pages
219
Condition
New
Series
Lecture Notes in Statistics
Number of Pages
205
Place of Publication
New York, NY, United States
ISBN
9780387001364
SKU
V9780387001364
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Spatial Statistics and Computational Methods
"This book is a compilation of lecture notes from a number of distinguished professors from the United States, England, France, and Germany. This type of publication in statistics is specifically useful for postgraduate students and scientists." "Spatial Statistics and Computational Methods successfully presents and updates the recent theoretical advances accompanied by examples and applications in simulation-based inferences. This ... Read more

Goodreads reviews for Spatial Statistics and Computational Methods


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