dc.contributor.supervisor |
Oluyedi, Broderick |
|
dc.contributor.supervisor |
Makubate, Boikanyo |
|
dc.contributor.supervisor |
Chipepa, Fastel |
|
dc.contributor.author |
Gwazane, Munyaradzi |
|
dc.date.accessioned |
2023-02-01T14:06:54Z |
|
dc.date.available |
2023-02-01T14:06:54Z |
|
dc.date.issued |
2022-01 |
|
dc.identifier.citation |
Gwazane, M. (2022).On some exponentiated generalized families and compound class of distributions with applications, Master's thesis, Botswana International University of Science and Technology: Palapye |
en_US |
dc.identifier.uri |
http://repository.biust.ac.bw/handle/123456789/524 |
|
dc.description.abstract |
We introduce the exponentiated odd Nadarajah-Haghighi-G (EO-NH-G)
family of distributions and the exponentiated odd exponential Topp-Leone-G
(EOE-TL-G) family of distributions as well as the exponentiated odd exponential
Topp-Leone-G power series class of distributions. We obtain the series
expansions of the probability density functions, hazard rate functions, quantile
functions, moments, conditional moments, Bonferroni and Lorenz curves,
Renyi entropy and distribution of order statistics. The model parameters are ´
estimated using the maximum likelihood estimation technique and real datasets
are used to compare the new distributions to other known distributions with the
same number of parameters. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Botswana International University of Science and Technology (BIUST) |
en_US |
dc.subject |
62E15 |
en_US |
dc.subject |
Generalized Distributions |
en_US |
dc.subject |
Maximum Likelihood Estimation |
en_US |
dc.subject |
Order Statistics |
en_US |
dc.subject |
Moments |
en_US |
dc.title |
On some exponentiated generalized families and compound class of distributions with applications |
en_US |
dc.description.level |
msc |
en_US |
dc.dc.description |
Thesis (MSc of Science in Statistics--Botswana International University of Science and Technology, 2022 |
|
dc.description.accessibility |
unrestricted |
en_US |
dc.description.department |
mss |
en_US |