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Forecasting the poverty rate in eastern Rizal applying linear trend Jaymar M.Galgo... [et. al]

Contributor(s): Material type: TextTextLanguage: English Publication details: 2016Description: 67 leaves : colour illustrations ; 28 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
LOC classification:
  • HC79 .F746 2016
Dissertation note: Thesis (Bachelor of Science in Mathematics) -- University of Rizal System-Morong. Summary: EXECUTIVE SUMMARY: This study entitled Forecasting the Poverty Rate in Eastern Rizal Applying Linear Trend Model was conducted during the academic year 2016-2017. The main purpose of this study is to estimate, project the linear trend model of poverty rate in eastern Rizal in the year 2010-2015. To start, the researchers used a time series analysis using the method of semi-average. The actual data was subtitled with the derived model and was found out that a proposed semi-average can estimate the rate of poverty in Eastern Rizal. This was made possible with the use of poverty incidence and time series analysis. Based on the findings, the study concluded that time series analysis can project the poverty for the year 2017. However, the linear trend model is more accurate in estimating and forecasting poverty in Eastern Rizal. By this preceding summary of findings and conclusions, further study can be conducted using the linear trend model in other situation. Parallel studies should be conducted using other method poverty rate as basis.
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Theses and dissertations Theses and dissertations Morong College Library Reference HC76.F746 2016 (Browse shelf(Opens below)) 1 Not for loan URSMOR-CL-004409

Thesis (Bachelor of Science in Mathematics) -- University of Rizal System-Morong.

EXECUTIVE SUMMARY: This study entitled Forecasting the Poverty Rate in Eastern Rizal Applying Linear Trend Model was conducted during the academic year 2016-2017. The main purpose of this study is to estimate, project the linear trend model of poverty rate in eastern Rizal in the year 2010-2015. To start, the researchers used a time series analysis using the method of semi-average. The actual data was subtitled with the derived model and was found out that a proposed semi-average can estimate the rate of poverty in Eastern Rizal. This was made possible with the use of poverty incidence and time series analysis. Based on the findings, the study concluded that time series analysis can project the poverty for the year 2017. However, the linear trend model is more accurate in estimating and forecasting poverty in Eastern Rizal. By this preceding summary of findings and conclusions, further study can be conducted using the linear trend model in other situation. Parallel studies should be conducted using other method poverty rate as basis.

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