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Oxford University Press - Bayesian Statistics for Beginners

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Description

Explore the modern renaissance of statistical inference with Bayesian Statistics for Beginners: a step-by-step approach. Published by Oxford University Press, this book explains how Bayes' theorem is used to update the probability for a hypothesis as new evidence or information becomes available. This method is ideal for making initial assessments when dealing with incomplete or imperfect information. As data is gathered and disseminated, the Bayesian approach corrects assumptions and alters decision-making to generate a new set of probabilities. This book provides a clear path for understanding how to adjust conclusions as new data and evidence become available.

Key Features

Bayesian Statistics for Beginners provides a step-by-step approach to understanding statistical inference.

This book from Oxford University Press explains how to use Bayes' theorem to update hypothesis probabilities.

Learn how to make initial assessments based on incomplete or imperfect information using Bayesian methods.

The text covers how the Bayesian approach corrects assumptions and alters decision-making as new data is gathered.

Understand how to generate new sets of probabilities as evidence and information become available.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
29 May 2019
Listed Since
03 February 2019

Barcode

No barcode data available

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