Comparison of Different methods of Estimation for Transmuted Lomax Distribution

Authors(2) :-Rajiv Saksena , Ashok Kumar

Accurate estimation of parameters of a probability distribution is of massive importance in statistics. Biased and vague estimation of parameters can lead to misleading results. In this paper, we consider the estimation of unknown parameters for the transmuted Lomax distribution. The estimation of parameters will be handled using maximum likelihood estimation, method of moments and L-moments method. A Monte Carlo Simulation is used to make comparison among them.

Authors and Affiliations

Rajiv Saksena
Department of Statistics, University of Lucknow, Lucknow, India
Ashok Kumar
Department of Statistics, University of Lucknow, Lucknow, India

Maximum likelihood estimation, method of moments, L-moments method, Monte Carlo Simulation.

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Publication Details

Published in : Volume 3 | Issue 7 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 259-264
Manuscript Number : IJSRST173763
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Rajiv Saksena , Ashok Kumar, " Comparison of Different methods of Estimation for Transmuted Lomax Distribution", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 7, pp.259-264, September-October-2017.
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