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.

Downloads

Download data is not yet available.
Abstract
566
pdf
1000

Author Biography

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

Associate Professor

Cover NCCJ

Downloads

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

Issue

Vol. 4 No. 1 (2019)

Section

Articles

License

© Nepal Commerce Campus, Tribhuvan University

CC BY-NC: This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.