Maximum Likelihood Estimation of the Parameters of Exponentiated Generalized Weibull Based on Progressive Type II Censored Data - Open Journal of Statistics

OJS > Vol.7 No.6, December 2017

Maximum Likelihood Estimation of the Parameters of Exponentiated Generalized Weibull Based on Progressive Type II Censored Data ()

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Download as PDF (Size: 309KB) PP. 956-963

DOI: 10.4236/ojs.2017.76067 1,235 Downloads 4,073 Views Citations

Author(s)

Ibrahim Sawadogo^1*, Leo Odongo², Ibrahim Ly^3,4

Affiliation(s)

¹Pan African University Institute of Science, Technology and Innovation, Nairobi, Kenya.
²Department of Statistics and Actuarial Science, Kenyatta University (KU), Nairobi, Kenya.
³Department of Mathematics, University of Ouagadougou, Ouagadougou, Burkina Faso.
⁴Department of Mathematics, University of Potsdam, Potsdam, Germany.

ABSTRACT

Exponentiated Generalized Weibull distribution is a probability distribution which generalizes the Weibull distribution introducing two more shapes parameters to best adjust the non-monotonic shape. The parameters of the new probability distribution function are estimated by the maximum likelihood method under progressive type II censored data via expectation maximization algorithm.

KEYWORDS

Maximum Likelihood, Type II Censored Data, Exponentiated Generalized Weibull, EM-Algorithm

Share and Cite:

Sawadogo, I. , Odongo, L. and Ly, I. (2017) Maximum Likelihood Estimation of the Parameters of Exponentiated Generalized Weibull Based on Progressive Type II Censored Data. Open Journal of Statistics, 7, 956-963. doi: 10.4236/ojs.2017.76067.

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