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Inference Based on k-Record Values from Generalized Exponential Distribution

Author

Listed:
  • Manoj Chacko

    (University of Kerala - India)

  • Laji Muraleedharan

    (University of Kerala)

Abstract

In this paper, the lower k-record values arising from a two parameter generalized exponential distribution is considered. The maximum likelihood estimators for the shape parameter and scale parameter are obtained. The Bayes estimates of the parameters are also developed by using Markov chain Monte Carlo method under symmetric and asymmetric loss functions. Finally, a simulation study is performed to find the performance of different estimators developed in this paper.

Suggested Citation

  • Manoj Chacko & Laji Muraleedharan, 2018. "Inference Based on k-Record Values from Generalized Exponential Distribution," Statistica, Department of Statistics, University of Bologna, vol. 78(1), pages 37-56.
    • Handle: RePEc:bot:rivsta:v:78:y:2018:i:1:p:37-56
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