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Product of independent generalised gamma random variables

Dissertation (MSc (Mathematical Statistics))--University of Pretoria, 2016.

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Other Authors: Bekker, Andriette, 1958-
Format: Thesis
Language:English
Published: 2026
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access_status_str Open Access
author2 Bekker, Andriette, 1958-
author_browse Bekker, Andriette, 1958-
author_facet Bekker, Andriette, 1958-
collection Thesis
description Dissertation (MSc (Mathematical Statistics))--University of Pretoria, 2016.
format Thesis
id oai:repository.up.ac.za:2263/110137
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:37:40.523Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2026
publishDateRange 2026
publishDateSort 2026
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/110137 Product of independent generalised gamma random variables Bekker, Andriette, 1958- vrbilankulu@gmail.com Marques, F. Bilankulu, Vusi Raphael Generalised gamma Approximation Near exact Product Characteristic function Dissertation (MSc (Mathematical Statistics))--University of Pretoria, 2016. The generalised gamma distribution has received much attention due to its áexibility and also for having some well-known distributions as special cases. This study originates from a statistic deÖned as the ratio of products of independent generalised gamma random variables and shows that it can be represented as the product of independent generalised gamma random variables with some re-parametrisation. By decomposing the characteristic function of the negative logarithm of the statistic and then using the distribution of the di§erence of two independent generalized integer gamma random variables as a basis, accurate and computationally appealing near-exact distributions are derived for the statistic. In the process, a new áexible parameter is introduced in the near-exact distributions which allows to control the degree of precision of these approximations. Furthermore, the performance of the near-exact distributions is assessed using a measure of proximity between cumulative distribution functions; also, by comparison with the exact distribution, empirical distribution and with an approximation developed using a di§erent method and which can only be applied in some particular cases. Statistics MSc (Mathematical Statistics) 2026-05-15T17:26:24Z 2026-05-15T17:26:24Z 16/12/12 2016 Dissertation http://hdl.handle.net/2263/110137 en application/pdf
spellingShingle Generalised gamma
Approximation
Near exact
Product
Characteristic function
Product of independent generalised gamma random variables
title Product of independent generalised gamma random variables
title_full Product of independent generalised gamma random variables
title_fullStr Product of independent generalised gamma random variables
title_full_unstemmed Product of independent generalised gamma random variables
title_short Product of independent generalised gamma random variables
title_sort product of independent generalised gamma random variables
topic Generalised gamma
Approximation
Near exact
Product
Characteristic function
url http://hdl.handle.net/2263/110137