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CRC Press Theory of Spatial Statistics: A Concise Introduction

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Description

Master the essential models of spatial statistics with this rigorous mathematical guide from CRC Press. Theory of Spatial Statistics: A Concise Introduction provides a deep look into random fields and point processes, offering a clear path to understanding how to carry out statistical inference. This text is designed for those with a background in probability and statistics who require a self-contained resource for study or professional research. Whether you are a student looking for a structured semester course or a researcher needing a reliable reference book, these lecture notes deliver comprehensive coverage. The book includes full proofs to support mathematical theory, real-life examples to demonstrate practical application, and theoretical exercises to test your knowledge. For added support, solutions to the exercises are provided in an appendix, making it an ideal tool for independent learning and academic mastery in the field of statistical science.

Key Features

Covers essential spatial models including random fields and point processes through a rigorous mathematical lens.

Provides full mathematical proofs to ensure a deep understanding of statistical inference methods.

Includes real-life examples to help bridge the gap between theoretical concepts and practical application.

Features theoretical exercises to reinforce learning, with solutions available in a convenient appendix.

Serves as a self-contained resource suitable for a full semester course or as a professional reference book.

Designed for readers with maturity in probability and statistics seeking a concise and thorough introduction.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
27 March 2019
Listed Since
27 October 2018

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