£114.33

Springer Spatial Statistics and Modeling - Statistics Series

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Description

Master the complexities of spatial data with Spatial Statistics and Modeling from the Springer Series in Statistics. This comprehensive text provides an essential overview of spatial modeling and statistical methods, specifically designed for those working with observations that possess a distinct spatial location component. By exploring key spatial models for three different types of data, this book bridges the gap between abstract theory and practical application. Readers can study probabilistic properties and related statistical methods through the lens of real-world applications. The text is organized to help you understand theory, simulation, and statistical applications in a well-structured manner. Whether you are studying econometrics or advanced statistics, this volume covers modern topics to ensure your knowledge remains current. It serves as a vital resource for developing models and statistical inference methods used in modern spatial analysis.

Key Features

Covers key spatial models for three distinct types of data to provide a broad understanding of spatial modeling.

Includes real-world applications to help illustrate complex statistical concepts and theories in practice.

Explains probabilistic properties and related statistical methods for comprehensive mathematical insight.

Provides a well-structured approach to learning theory, simulation, and statistical applications.

Addresses modern topics in the field of spatial statistics to keep your research current.

Designed for developing effective models and statistical inference methods for spatially located observations.

Product Specifications

Format
Paperback
Domain
Amazon UK
Publication Date
25 February 2012
Listed Since
16 December 2011

Barcode

No barcode data available

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