## Statistical decision theory and related topics IV |

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### Contents

What Is the Likelihood Function? | 3 |

Discussion L Mark Berliner | 17 |

Reply to Discussion | 27 |

Copyright | |

42 other sections not shown

### Other editions - View all

Statistical Decision Theory and Related Topics IV, Volume 2 Shanti S. Gupta,James O. Berger No preview available - 2011 |

Statistical Decision Theory and Related Topics IV, Volume 1 Shanti S. Gupta,James O. Berger No preview available - 2011 |

### Common terms and phrases

admissible adverse drug reactions analysis approximation assume assumption asymptotic Bayes estimator Bayes procedure Bayes risk Bayes rules Bayesian approach Berger and Wolpert Bernardo bias binomial Casella causality assessment choice classical coefficient computed conditional inference conditionally confidence intervals confidence set conjugate prior consider corresponding covariance defined definition denote density Department of Statistics depend Diaconis discussion drug estimated confidence example experiment finite follows frequentist given Hence inadmissible integral James-Stein estimator Lemma likelihood function likelihood principle linear loss function Math matrix maximum likelihood mean measure methods minimax multivariate negatively biased normal distribution observed obtained paper parameter population posterior distribution posterior probability pre-experimental predictive prior distribution problem PROOF random variable regression relevant betting risk function robustness sample space satisfies Section sequential shows statisticians stopping rule Suppose Theorem unbiased estimator unknown unobserved variance vector Ylvisaker