A Comparison of the Bayesian and Frequentist Approaches to Estimation

This monograph contributes to the area of comparative statistical inference. Attention is restricted to the important subfield of statistical estimation. The book is intended for an audience having a solid grounding in probability and statistics at the level of the year-long undergraduate course tak...

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Bibliografiske detaljer
Hovedforfatter: Samaniego, Francisco J.
Format: Livre numérique
Sprog:Anglais
Udgivet: New York, NY : Springer New York [20..].
Cham : Springer Nature
Udgivelse:1st ed. 2010.
Serier:Springer Series in Statistics
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Edition sous un autre format:• A comparison of the Bayesian and frequentist approaches to estimation, Francisco J. Samaniego, New York, Springer, 2010, 1 vol. (XIII-225 p.), Springer series in statistics, 978-1-441-95940-9
• A Comparison of the Bayesian and Frequentist Approaches to Estimation, Texte imprimé, 9781441959577
• A comparison of the Bayesian and frequentist approaches to estimation, Francisco J. Samaniego, New York, Springer, 2010, 1 vol. (XIII-225 p.), Springer series in statistics, 978-1-441-95940-9
• A Comparison of the Bayesian and Frequentist Approaches to Estimation, Texte imprimé, 9781461426196
• A Comparison of the Bayesian and Frequentist Approaches to Estimation, Texte imprimé, 9781441959577
• A comparison of the Bayesian and frequentist approaches to estimation, Francisco J. Samaniego, New York, Springer, 2010, 1 vol. (XIII-225 p.), Springer series in statistics, 978-1-441-95940-9
• A Comparison of the Bayesian and Frequentist Approaches to Estimation, Texte imprimé, 9781461426196
Indholdsfortegnelse:
  • Point Estimation from a Decision-Theoretic Viewpoint An Overview of the Frequentist Approach to Estimation An Overview of the Bayesian Approach to Estimation The Threshold Problem Comparing Bayesian and Frequentist Estimators of a Scalar Parameter Conjugacy, Self-Consistency and Bayesian Consensus Bayesian vs. Frequentist Shrinkage in Multivariate Normal Problems Comparing Bayesian and Frequentist Estimators under Asymmetric Loss The Treatment of Nonidentifiable Models Improving on Standard Bayesian and Frequentist Estimators Combining Data from Related Experiments Fatherly Advice