Date of Publication

7-7-2022

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Statistics Major in Actuarial Science

Subject Categories

Mathematics

College

College of Science

Department/Unit

Mathematics and Statistics Department

Thesis Advisor

Shirlee R. Ocampo

Defense Panel Chair

Maria Angeli T. Reyes

Defense Panel Member

Olivia P. Pagulayan

Abstract/Summary

As one of the world’s most disaster-prone countries, Filipinos are heavily affected by the aftermath of natural disasters. Thus, this research aims to address the effects of socioeconomic and climatological factors on the severity of typhoons in the Philippines, as measured by the affected population, so as to improve disaster resilience in the country. A spatiotemporal model was fitted to the 2018 monthly data provided by NDRRMC, PSA, and PAGASA. Afterwards, a backfitting algorithm embedded with the Cochrane-Orcutt procedure was used to estimate the parameters. This model proved the significance of food expenditure and rainfall amount in measuring typhoon severity. Further, applying a spatiotemporal model using these significant variables is seen to be the best fit in the data. These results will be of great benefit to Filipinos and researchers alike as they would get a better understanding of the effects of typhoons in the Philippines.

Abstract Format

html

Language

English

Format

Electronic

Physical Description

43 leaves

Keywords

Typhoons--Philippines; Economics—Sociological aspects; Algorithms

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Embargo Period

7-6-2022

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