Time-series analysis of Manila City morbidity data through autoregressive integrated moving average (ARIMA) using R Studio and XLSTAT
Pollution in the city of Manila is increasing and the rates for respiratory and cardiovascular diseases are rising as well. Development of preventive programs and damage controls can be attained with the guidance of forecasting through time-series analysis. Such analysis is heavily dependent on the...
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Main Authors: | Lenon, Guilbert Christian M., Martinez, Kathleen Jhoanne D. |
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Format: | text |
Language: | English |
Published: |
Animo Repository
2019
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Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/18601 |
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Institution: | De La Salle University |
Language: | English |
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