Abstract
The rest of this book deals with Bayesian estimation. This chapter uses examples to illustrate the fundamental concepts of Bayesian point and interval estimation. It also provides an introduction to Chapters 9 and 10, where more advanced examples require computationally intensive methods.
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© 2010 Springer Science+Business Media, LLC
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Suess, E.A., Trumbo, B.E. (2010). Introduction to Bayesian Estimation. In: Introduction to Probability Simulation and Gibbs Sampling with R. Use R, vol 0. Springer, New York, NY. https://doi.org/10.1007/978-0-387-68765-0_8
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DOI: https://doi.org/10.1007/978-0-387-68765-0_8
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Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-40273-4
Online ISBN: 978-0-387-68765-0
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