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Time series analysis of survival rate of patients diagnosed with selected diseases in the Philippines from 1960 to 2010 / by Jeric B. Espiritu.

By:

Espiritu, Jeric B [author]

Contributor(s):

Sta. Brigida, Michael E [adviser]

Material type: Text

TextLanguage: English Publication details: Indang, Cavite : 2016. Cavite State University- Main Campus,Description: xiv, 66 pages : 28 cm. illustrations ; Content type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

DDC classification:

616.07 Es6 2016

Online resources:

Click here to view thesis abstract and table of contents

Production credits:

College of Arts and Science (CAS)

Abstract: ESPIRITU, JERIC B., Time Series Analysis of the Survival Rate of Patients Diagnosed with Selected Diseases in the Philippines from 1960 - 2010. Undergraduate Thesis. Bachelor of Science in Applied Mathematics. Cavite State University, Indang, Cavite. Adviser: Michael E. Sta. Brigida. This manuscript focused on the survival rate of patients diagnosed with selected disease in the Philippines from 1960 to 2010. This study was conducted to determine the time where the distribution of survival rate changes. It also aimed to formulate competing forecasting model for survival rate of patients with selected diseases in the Philippines using the data splitting. In addition, it would like to forecast the survival rate of patients diagnosed with selected diseases. Lastly, it also aimed to compare the forecast for extrapolating polynomial models as obtained in the past study of Cruzada (2015) and time series models. This study used change-point test to determine if there is an underlying change in the distribution of the survival rate of patients diagnosed with selected in the Philippines from 1960 to 2010. The time period served as the cutting point for data splitting. To obtain appropriate time series models, the assumption on ARIMA models were considered. After generating models based on data splitting, it enabled to predict time series forecasts for the 10-year interval which was unknown. Coefficient of variation and mean absolute percentage error were used to compare the extrapolated polynomial forecasts and times series forecasts of the survival rate of patients diagnosed with selected diseases.

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Holdings ( 1 )
Title notes ( 5 )

Holdings
Item type	Current library	Collection	Call number	Materials specified	URL	Status	Notes	Date due	Barcode
Theses / Manuscripts	Ladislao N. Diwa Memorial Library Theses Section	Non-fiction	616.07 Es6 2016 (Browse shelf(Opens below))		Link to resource	Room use only	T-6308		00011428

Thesis (BS Applied Mathematics) Cavite State University

Includes bibliographical references.

College of Arts and Science (CAS)

ESPIRITU, JERIC B., Time Series Analysis of the Survival Rate of Patients Diagnosed with Selected Diseases in the Philippines from 1960 - 2010. Undergraduate Thesis. Bachelor of Science in Applied Mathematics. Cavite State University, Indang, Cavite. Adviser: Michael E. Sta. Brigida.
This manuscript focused on the survival rate of patients diagnosed with selected disease in the Philippines from 1960 to 2010. This study was conducted to determine the time where the distribution of survival rate changes. It also aimed to formulate competing forecasting model for survival rate of patients with selected diseases in the Philippines using the data splitting. In addition, it would like to forecast the survival rate of patients diagnosed with selected diseases. Lastly, it also aimed to compare the forecast for extrapolating polynomial models as obtained in the past study of Cruzada (2015) and time series models.
This study used change-point test to determine if there is an underlying change in the distribution of the survival rate of patients diagnosed with selected in the Philippines from 1960 to 2010. The time period served as the cutting point for data splitting. To obtain appropriate time series models, the assumption on ARIMA models were considered. After generating models based on data splitting, it enabled to predict time series forecasts for the 10-year interval which was unknown. Coefficient of variation and mean absolute percentage error were used to compare the extrapolated polynomial forecasts and times series forecasts of the survival rate of patients diagnosed with
selected diseases.

Submitted copy to the University Library. 05/29/2017 T-6308