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J.S. Maritz

Empirical Bayes Methods with Applications

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A01=J.S. Maritz
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approach
Asymptotic Optimality
Author_J.S. Maritz
automatic-update
Average Sampling Variance
Bayes Approach
Bayes Decision
Bayes Decision Rule
Bayes Point Estimate
Bayes Rule
bayesian
Binomial Kernel
Category1=Non-Fiction
Category=PBTB
Composite Hypotheses
COP=United Kingdom
decision
Delivery_Pre-order
distribution
EB Analysis
EB Approach
EB Estimate
EB Estimator
EB Method
EB Procedure
Em Algorithm
eq_isMigrated=2
estimate
Fb Approach
Finite Mixtures
full
Language_English
Linear Bayes Estimators
Ml Estimate
Monotone Likelihood Ratio
observations
Optimal Linear Estimate
PA=Temporarily unavailable
past
Poisson Case
Posterior Distribution
Price_€100 and above
prior
Prior Distribution
PS=Active
rule
softlaunch
T.L. Win

Product details

  • ISBN 9781315892566
  • Weight: 710g
  • Dimensions: 138 x 216mm
  • Publication Date: 29 Nov 2017
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
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Description
The second edition of Empirical Bayes Methods details are provided of the derivation and the performance of empirical Bayes rules for a variety of special models. Attention is given to the problem of assessing the goodness of an empirical Bayes estimator for a given set of prior data. A chapter is devoted to a discussion of alternatives to the empirical Bayes approach and there is also a chapter giving details of several actual applications of empirical Bayes method.