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Chapman and Hall/CRC A Course in Large Sample Theory - Chapman & Hall/CRC Statistics

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Description

A Course in Large Sample Theory is a comprehensive graduate-level textbook designed for first-year statistics students seeking to master large sample theory and its applications. Organised in four parts, the book begins with fundamental probabilistic concepts before progressing to essential statistical tools for theory expansion, then explores specialised topics as practical applications of the general framework, and concludes with standard statistical methods. Nearly all topics are presented in their multivariate setting, making this resource invaluable for advanced study. The text has proven effective for graduate students across statistics, biostatistics, mathematics and related disciplines, offering rigorous coverage suitable for building a strong theoretical foundation in large sample inference.

Key Features

The Chapman and Hall/CRC textbook covers foundational probabilistic concepts required for understanding large sample theory applications.

Multivariate treatment of nearly all topics provides comprehensive preparation for advanced statistical research and practice.

Four-part structure progresses logically from basic principles through specialised applications to standard statistical methods.

Designed as a first-year graduate course, making the text suitable for statistics, biostatistics and mathematics programmes.

Includes statistical tools and theoretical frameworks used by researchers across academic and professional fields.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
31 December 2023
Listed Since
08 February 2007

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