oURspace

University of Regina Institutional Repository

The mission of the oURspace digital repository is to share and preserve the scholarly, creative, and cultural work produced at the University of Regina.

What are some of the benefits of depositing your works in oURspace?

  • Increased access to your scholarly publications.
  • Content is indexed and discoverable in Google Scholar.
  • Compliance with open access funding requirements.
  • Long term preservation of your work.

Please contact ourspace@uregina.ca if you have questions or want more information about oURspace.






 

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Recent Submissions

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Modified half logistic - exponentiated Kumaraswamy distribution and applications
(Faculty of Graduate Studies and Research, University of Regina, 2022-11) Xiao, Mei; Volodin, Andrei; Deng, Dianliang; Yao, Yiyu
The statistical model of mixture distributions has become an important tool for analyzing complicated phenomena in the real world. This approach has a wide range of applications in the fields of biology, medicine, environment and engineering. Based on the characteristics of the Exponentiated Kumaraswamy model, researchers have carried out a series of explorations and studies. However, in order to provide a more appropriate model to support real-life applications and to make our data analysis more reliable, it is still meaningful to explore new models. Therefore, in this thesis, we propose a novel mixture model, which is a modified one based on the combination of the Type-II Half Logistic distribution and the Exponentiated Kumaraswamy distribution. We defined it as the Modified Half Logistic - Exponentiated Kumaraswamy (MHL-EK) distribution. Then, we will study its statistical properties, such as quantile function, moments, incomplete moments, etc. Next, maximum likelihood estimation will be used for the parameter estimation of the MHL-EK model. We will also present a related simulation study. Finally, we apply this model to three real data sets and give our analysis for them. The results show that the MHL-EK distribution is a relatively suitable model among the candidate models.
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Centre on Aging and Health Newsletter : No. 37
(University of Regina, Centre on Aging and Health, 2023-11-07) Smart, Kathryn; Wilson, Scott J.
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Centre on Aging and Health Newsletter : No. 36
(University of Regina, Centre on Aging and Health, 2023-06-20) Smart, Kathryn; Wilson, Scott J.
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Centre on Aging and Health Newsletter : No. 35
(University of Regina, Centre on Aging and Health, 2022-11-10) Smart, Kathryn; Wilson, Scott J.
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Centre on Aging and Health Newsletter : No. 34
(University of Regina, Centre on Aging and Health, 2022-03-08) Beahm, Janine; Wilson, Scott J.