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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.
Rajiv Saksena , Ashok Kumar
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
URL : http://ijsrst.com/IJSRST173763