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CRC Press Linear Models and Relevant Distributions Text

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Description

Linear Models and the Relevant Distributions and Matrix Algebra provides in-depth coverage of linear statistical models for parametric and predictive inference. This text serves as a comprehensive resource for those studying mathematical statistics and linear models in a graduate-level setting. Whether you are using it as a primary textbook or a secondary reference, this book helps illustrate theoretical concepts through a complex setting of great practical importance. It is designed to support students and professionals who need a deep understanding of how linear models function as a basis for statistical inference. This volume is part of the Chapman and Hall/CRC Texts in Statistical Science series, making it a reliable addition to any academic or professional library focused on statistical science and mathematical theory.

Key Features

Provides extensive and relatively self-contained coverage of matrix algebra for statistical applications.

Offers detailed instruction on using linear statistical models for both parametric and predictive inference.

Functions as a versatile resource for graduate-level courses on linear models.

Serves as a valuable reference for illustrating theoretical concepts in mathematical statistics.

Covers complex settings that carry great practical importance for statistical research.

Product Specifications

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

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