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CRC Press Richly Parameterized Linear Models Textbook

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Description

Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects provides a foundation for a unified theory of complex models. Using mixed linear models to analyze data often leads to results that are mysterious or incorrect. This text addresses the lack of cohesive resources for gaining a systematic, theory-based understanding of models with random effects. Part of the Chapman & Hall/CRC Texts in Statistical Science series, this book helps statisticians better understand their analysis results. It focuses on developing a full theory for richly parameterized models, covering additive, time series, and spatial applications. This resource is designed for those seeking to move beyond inconvenient or wrong results toward a more rigorous mathematical understanding of statistical modeling.

Key Features

This CRC Press textbook offers a first step toward a unified theory of richly parameterized linear models.

The text provides a systematic, theory-based understanding of models that utilize random effects.

It addresses common issues where mixed linear models can lead to mysterious or incorrect data analysis results.

The content covers additive, time series, and spatial models to help statisticians better understand their findings.

This volume is part of the Chapman & Hall/CRC Texts in Statistical Science series for advanced study.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 June 2021
Listed Since
01 October 2020

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