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Check Availability | Lawrence Library / Main Collection: QA279.5 .K355 2011 |

Author | Kadane, Joseph B. |

Title | Principles of uncertainty / Joseph B. Kadane. |

Imprint | Boca Raton, FL : CRC Press, c2011. |

Description | xxvii, 475 p. : ill. ; 27 cm. |

Type of Material | Book |

Series | ( Chapman & Hall/CRC texts in statistical science series ) |

Series | ( Texts in statistical science.) |

Bibliography Note | Includes bibliographical references and index. |

Contents | Contents: Probability -- Conditional probability and Bayes theorem -- Discrete random variables -- Continuous random variables -- Transformations -- Normal distribution -- Making decisions -- Conjugate analysis -- Hierarchical structuring of a model -- Markov chain Monte Carlo -- Multiparty problems -- Exploration of old ideas -- Epilogue: applications. |

Summary | Written in an appealing, inviting style, and packed with interesting examples, this book introduces the most compelling parts of mathematics, computing, and philosophy as they bear on statistics. Although many books present the computation of a variety of statistics and algorithms while barely skimming the philosophical ramifications of subjective probability, this book takes a different tack. By addressing how to think about uncertainity, this book gives the reader the intuition and understanding required to choose a particular method for a particular purpose. -- from Back Cover |

Subject | Bayesian statistical decision theory. |

Mathematical statistics. | |

System Number | 000643333 |

ISBN | 9781439861615 (hardcover : alk. paper) |

1439861617 (hardcover : alk. paper) |

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