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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Samaniego, Francisco J. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York, 2010.
Σειρά:Springer Series in Statistics,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.