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CRC Press Bayesian Analysis of Linear Models - Statistics Text

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Description

As Bayesian statistics gains rapid acceptance for solving applied statistical problems, professionals require a comprehensive and up-to-date resource. Bayesian Analysis of Linear Models provides a thorough exploration of the basic theory behind a wide variety of linear models from a Bayesian viewpoint. This volume serves as a definitive guide for those seeking to understand both established and modern statistical approaches. This textbook balances traditional foundations with modern advancements. It includes a detailed review of Bayesian techniques and methods for estimation, hypothesis testing, and forecasting as applied to standard populations. Beyond these core methods, the text introduces innovative approaches to mixed models and models that go beyond standard applications. Whether you are studying for academic purposes or applying these methods to real-world data, this CRC Press publication offers the technical depth needed to master Bayesian linear modeling.

Key Features

Covers the basic theory of a large variety of linear models through a Bayesian viewpoint.

Includes a review of traditional Bayesian techniques for estimation and hypothesis testing.

Provides methods for forecasting applied to standard populations.

Introduces innovative approaches to mixed models and advanced modeling techniques.

Serves as an up-to-date source for the latest advances in the field of Bayesian statistics.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
06 December 1984
Listed Since
27 December 2006

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