Hierarchical Modelling for the Environmental Sciences : Statistical methods and applications

Clark, James S. (EDT)/ Gelfand, Alan E. (EDT)

Oxford University Press（2006/05発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 216 p.／サイズ 73 line figures
• 言語 ENG
• 商品コード 9780198569671
• DDC分類 519.5

基本説明

Provides a consistent framework for inference and prediction where information is heterogeneous and uncertain, processes are complicated, and responses depend on scale.

Full Description

New Statistical tools are changing the wau in which scientists analyze and interpret data and models. Many of these are emerging as a result of the wide availability of inexpensive, high speed computational power. In particular, hierarchical Bayes and Markov Chain Monte Carlo methods for analysis provide constant framework for inference and prediction where information is heterogeneous and uncertain, processes are complex, and responses depend on scale. Nowhere are these methods more promising than in the environmental sciences. Models have developed rapidly, and there is now a requirment for a clear exposition of the methodology through to application for a range of environmental challenges.

Contents

PART I. INTRODUCTION TO HIERARCHICAL MODELING; PART II. HIERARCHICAL MODELS IN EXPERIMENTAL SETTINGS; PART III. SPATIAL MODELING; PART IV. SPATIO-TEMPORAL MODELING