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Introduction to Bayesian Estimation

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Modern Mathematical Statistics with Applications

Part of the book series: Springer Texts in Statistics ((STS))

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Abstract

In this final chapter, we briefly introduce the Bayesian approach to parameter estimation.

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Authors and Affiliations

  1. Department of Statistics (Emeritus), California Polytechnic State University, San Luis Obispo, CA, USA

    Jay L. Devore

  2. Department of Mathematics (Emeritus), Illinois State University, Normal, IL, USA

    Kenneth N. Berk

  3. Department of Statistics, California Polytechnic State University, San Luis Obispo, CA, USA

    Matthew A. Carlton

Authors
  1. Jay L. Devore
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  2. Kenneth N. Berk
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  3. Matthew A. Carlton
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Corresponding author

Correspondence to Jay L. Devore .

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

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Devore, J.L., Berk, K.N., Carlton, M.A. (2021). Introduction to Bayesian Estimation. In: Modern Mathematical Statistics with Applications. Springer Texts in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-030-55156-8_15

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