ESTIMATION OF PARAMETERS OF POISSON TYPE EXPONENTIAL CLASS MODEL USING NON-INFORMATIVE AND GAMMA PRIOR

  • Rajesh Singh Department of Statistics, SGB Amravati University, Amravati
  • Neeta Andure Department of Statistics, Govt. College of Arts & Science, Aurangabad
  • Umesh Singh Department of Statistics, Banaras Hindu University, Varanasi
Keywords: Software Reliability, Poisson Type Exponential Class, Non – Homogeneous Poisson Process, Bayes Estimator, Maximum Likelihood Estimator, Non Informative Prior and Gamma Prior

Abstract

This paper concerns with estimation of parameter of Poisson type exponential class model of software evaluation. The Bayes estimators of parameters i. e. number of failures β0 and failure rate β1 have been obtained using non – informative and gamma prior respectively under squared error loss function. The obtained estimators have been compared with corresponding maximum likelihood estimators on the basis of their simulated risks (average loss).

 

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Published
2013-02-12
Section
Articles