Some New Generalized Distribution via Lindley-WeibulI and Lindley-Log-Logistic Distributions with Applications
Term of Award
Master of Science in Mathematics (M.S.)
Document Type and Release Option
Thesis (open access)
Copyright Statement / License for Reuse
Digital Commons@Georgia Southern License
Department of Mathematical Sciences
Committee Member 1
Committee Member 2
In this thesis, new generalized distributions, namely Beta Lindley-Log-Logistic (BLLLoG) distribution, Marshall-Olkin Lindley-Weibull (MOLW) distribution, and Gamma LindleyWeibull (GLW) distribution as well as related sub-distributions are proposed. Series expansion of the densities are obtained. Statistical properties of these distributions, including hazard function, reverse hazard function, moments, reliability, quantile function, mean deviations, Bonferroni and Lorenz curves, entropy and Fisher information are derived. Method of maximum likelihood is used to estimate the parameters of the new distributions. Monte Carlo simulation is employed to examine the performance of the proposed distributions. Applications of the generalized distributions to real lifetime data are presented to illustrate the usefulness of the models.
Raheem, Soliu A., "Some New Generalized Distribution via Lindley-WeibulI and Lindley-Log-Logistic Distributions with Applications" (2019). Electronic Theses and Dissertations. 2008.
Research Data and Supplementary Material
Available for download on Wednesday, October 30, 2024
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