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                                       Details for article 3 of 22 found articles
 
 
  An emplrical bayes approach in estimating the parameters of the or more geometric distributions
 
 
Title: An emplrical bayes approach in estimating the parameters of the or more geometric distributions
Author: de Waal, D. J.
Maritz, J. S.
Appeared in: Communications in statistics
Paging: Volume 14 (1985) nr. 12 pages 2997-3005
Year: 1985
Contents: The estimation of the parameters of two or more geometric distribuionsis considered by usinq an empirical Bayesian approach. Robbins (1983) gave empirical Bayes estimates if the number of distributions N is large, buthere we consider the cascwhore N is small. The parameters of the prior distribution areest imated by looking at maximum like lihood and momentest imation methods.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 3 of 22 found articles
 
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