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Faculty of Graduate Studies and Research, University of Regina

Modeling of birth and death oscillations in provinces of Canada

Abstract

dc:description.abstract

We discuss several statistical properties of the new proposed Log-Logistic Erlang (LLogE) distribution. Additionally we analyse birth, death oscillation of Canadian provinces in depth as well as the correlation between birth and death and those with temperature that has been collected from center of population of each provinces. While the focus of this study is on Canada, temperature may have a global influence on fertility. Even if there is no consensus how seasonality of birth phenomenon modelled, yet environmental factors specifically temperature, plays a role in explaining the seasonality observed in birth in many countries over many years. There are many other factors other than temperature that plays role to disentangle the shocks presents in birth. Our research offers unique insights by exploring the effects of environmental factors on monthly and daily birth and death oscillations using spectral and correlation analysis during 2011 and 2019.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy (PhD)
Discipline thesis:degree_discipline
Statistics
Grantor dc:publisher
Faculty of Graduate Studies and Research, University of Regina
Year dc:date.issued
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Osmanli, Khaysa
Advisors dc:contributor.advisor
  • Sardarli, Arzu
  • Volodin, Andrei
Committee members dc:contributor.committeemember
  • Floricel, Remus
  • Deng, Dianliang
  • Yao, Yiyu

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:uregina.scholaris.ca:10294/16362

Chain of custody

source
Harvested from
University of Regina
Base URL
uregina.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Osmanli, Khaysa. Modeling of birth and death oscillations in provinces of Canada. Faculty of Graduate Studies and Research, University of Regina, 2024. https://hdl.handle.net/10294/16362