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Generalized Univariate Distributions and a New Asymmetric Laplace Model
Date
2017Type
ThesisDepartment
Mathematics and Statistics
Degree Level
Master's Degree
Abstract
This work provides a survey of general class of distributions generated from a mixture of beta random variables. We provide an extensive review of the literature, concerning generating new distributions via the inverse CDF transformation. In particular, we account for beta generated and Kumaraswamy generated families of distributions. We provide a brief summary of each of their families of distributions. We also propose a new asymmetric mixture distribution, which is an alternative to beta generated distributions. We provide basic properties of this new class of distributions generated from the Laplace model. We also address the issue of parameter estimation of this new skew generalized Laplace model.
Permanent link
http://hdl.handle.net/11714/2036Additional Information
Committee Member | Panorska, Anna; Lu, Minggen |
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Rights | In Copyright(All Rights Reserved) |
Rights Holder | Author(s) |