£100.99

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£101 today · all-time low £100 (Jul 2026) · usually £103

CRC Press Linear Models and Relevant Distributions - Chapman & Hall/CRC

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Description

Linear Models and the Relevant Distributions and Matrix Algebra is a comprehensive graduate-level text by Chapman & Hall/CRC that explores linear statistical models for parametric and predictive inference. This detailed resource provides extensive, self-contained coverage of matrix algebra within practical applications, making it ideal as a primary textbook, secondary reference, or supplementary resource in mathematical statistics courses. The book bridges theoretical concepts with complex real-world statistical problems, offering students and researchers a rigorous foundation in linear models alongside the distributional theory and algebraic methods essential for advanced statistical practice and inference.

Key Features

Chapman & Hall/CRC publication offers comprehensive graduate-level instruction in linear statistical models for both parametric and predictive inference applications.

Extensive, self-contained matrix algebra coverage enables readers to understand mathematical foundations without requiring external references or prerequisite texts.

Suitable as a primary text, secondary reference, or supplementary resource within graduate courses on linear models and mathematical statistics.

Connects theoretical statistical concepts with practical applications of linear models in complex, real-world analytical settings.

Provides detailed treatment of relevant distributions and their role in linear modelling and statistical inference.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
13 March 2018
Listed Since
07 October 2017

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No barcode data available

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