BIUSTRE

The Marshall-Olkin-G Power Series family of distributions with applications to complete and censored data

Show simple item record

dc.contributor.supervisor Gabaitiri, Lesego
dc.contributor.supervisor Makubate, Boikanyo
dc.contributor.author Musekwa, Regent Retrospect
dc.date.accessioned 2025-09-15T12:52:10Z
dc.date.available 2025-09-15T12:52:10Z
dc.date.issued 2023-02
dc.identifier.citation Musekwa,R,R (2023) The Marshall-Olkin-G Power Series family of distributions with applications to complete and censored data. BIUST en_US
dc.identifier.uri https://repository.biust.ac.bw/handle/123456789/674
dc.description Thesis (MSc of Mathematics and Statistical sciences)---Botswana International University of Science and Technology, 2023 en_US
dc.description.abstract We reviewed the generalized family of distributions called the Marshall-Olkin-G Power Series (MO-GPS) family of distributions. Some special models of the MO- GPS family of distributions are reviewed in detail. Some structural statistical properties inclusive of moments, residual and reverse residual life function, stress - strength function, mean deviations, distribution of the order statistics and R´enyi entropy are reviewed for the MO-GPS and its special models. Different estimation techniques are discussed, however the maximum likelihood estimation method is used to estimate the model parameters. A simulation study to examine the bias and mean square error of the maximum likelihood estimators was carried out. We model censored and complete data using the MO-GPS family of distributions. en_US
dc.language.iso en en_US
dc.publisher Botswana International University of Science and Technology (BIUST) en_US
dc.subject Distributions en_US
dc.subject Marshall-Olkin-G Power Series (MO-GPS) en_US
dc.subject MO- GPS family en_US
dc.subject R´enyi entropy en_US
dc.subject Simulation study en_US
dc.title The Marshall-Olkin-G Power Series family of distributions with applications to complete and censored data en_US
dc.description.level msc en_US
dc.description.accessibility unrestricted en_US
dc.description.department mss en_US


Files in this item

Icon
Name: Musekwa_BIUST_2023.pdf
Size: 1.070Mb
Format: PDF
View/Open

This item appears in the following Collection(s)

  • Faculty of Sciences
    This collection is made up of electronic theses and dissertations produced by post graduate students from Faculty of Sciences

Show simple item record

Search BIUSTRE


Browse

My Account