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Empirical Bayes Methods with Applications
Empirical Bayes Methods with Applications
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€137.99
Regular price
€138.99
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€137.99
A01=J.S. Maritz
Age Group_Uncategorized
Age Group_Uncategorized
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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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.
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