Frequentist Parameter Estimation of Two-Parameter Exponentiated Log-logistic Distribution BB

Authors

  • Arun Kumar Chaudhary Nepal Commerce Campus, T.U., Nepal

DOI:

https://doi.org/10.3126/nccj.v4i1.24727

Keywords:

Exploratory data analysis, Contour plot, Exponentiated Log-logistic distribution, Maximum likelihood estimation, Model validation

Abstract

In this paper, we have considered frequentist parameter estimation of two parameter exponentiated log-logistic distribution based on a complete sample. The parameters are estimated using a likelihood-based classical inferential procedure. This study has tried to compute MLEs along with their asymptotic confidence interval, contour plot and standard errors. The K-S test statistic, Quantile-Quantile (QQ) and Probability-Probability (PP) plots are used to check the validity of the model. All the computations are performed in R software. Areal data set is considered for illustration of the purposed inferential procedures.

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Author Biography

Arun Kumar Chaudhary, Nepal Commerce Campus, T.U., Nepal

Associate Professor

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Published

2019-07-04

How to Cite

Chaudhary, A. K. (2019). Frequentist Parameter Estimation of Two-Parameter Exponentiated Log-logistic Distribution BB. NCC Journal, 4(1), 1–8. https://doi.org/10.3126/nccj.v4i1.24727

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Section

Articles