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Time series analysis on trends and patterns o employment in region IV (1986 - 2005) / Marivic S. Alexquio, Phil M. Justiniano, Mary Jane E. Mengote.

By:

Alexquio, Marivic S [author]

Contributor(s):

Material type: Text

TextLanguage: English Publication details: Indang, Cavite : 2006. Cavite State University- Main Campus,Description: xiii, 62 pages : illustrations ; 28 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

DDC classification:

519.5 Al2 2006

Online resources:

Click here to view thesis abstract and table of contents

Production credits:

College of Arts and Science (CAS)

Abstract: ALEXQUIO, MARIVIC SEROFIA; JUSTINIANO, PHIL MINDORO.MENGOTE, MARY JANE ERNACIO. " Time Series Analysis on Trends and Patterns of Employment in Region IV." Bachelor of Science in Applied Mathematics Major in Statistics. Cavite State University, Indang, Cavite. April 2006. Adviser: Mrs. Jennifer R. Mojica. The study was conducted at Physical Science Department, College of Arts and Sciences of Cavite State University, Don Severino de las Alas Campus Indang, Cavite, from December 2005- March 2006 to: 1) determine the trend in employment covering the 20 years (1986-2005) in terms of nature of industry, nature of work, and employment status; 2) determine a model that could be used in forecasting the trends and patterns of employment in Region IV; 3) forecast the trends and patterns of employment in Region IV for the next five years (2006-2010). The variables used in this study were: Nature of Industry, Nature of Works, and Employment Status. The corresponding data were obtained from National Statistics Office in Trece Martires City, Cavite and Sta. Mesa, Manila; Department of Labor and Employment in Intramuros, Manila. Two alternative models were formulated for each type of employment using time series analysis by the use of the growth curve model and method least squares. The best models selected considering criteria for forecasted values for the year 2006- 2010 were computed using the formulated equation. The forecast accuracy was also tested using the Mean Absolute Percentage Error (MAPE) method. The MAPE results showed that there was a small standard error indicating the forecasted values were reliable.

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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	519.5 Al2 2006 (Browse shelf(Opens below))		Link to resource	Room use only	SP-3276		00004295

Special Problem (BS Applied Mathematics - - Statistics) Cavite State University.

Includes bibliographical references.

College of Arts and Science (CAS)

ALEXQUIO, MARIVIC SEROFIA; JUSTINIANO, PHIL MINDORO.MENGOTE, MARY JANE ERNACIO. " Time Series Analysis on Trends and Patterns of Employment in Region IV." Bachelor of Science in Applied Mathematics Major in Statistics. Cavite State University, Indang, Cavite. April 2006. Adviser: Mrs. Jennifer R. Mojica.

The study was conducted at Physical Science Department, College of Arts and Sciences of Cavite State University, Don Severino de las Alas Campus Indang, Cavite, from December 2005- March 2006 to: 1) determine the trend in employment covering the 20 years (1986-2005) in terms of nature of industry, nature of work, and employment status; 2) determine a model that could be used in forecasting the trends and patterns of employment in Region IV; 3) forecast the trends and patterns of employment in Region IV for the next five years (2006-2010).
The variables used in this study were: Nature of Industry, Nature of Works, and Employment Status. The corresponding data were obtained from National Statistics Office in Trece Martires City, Cavite and Sta. Mesa, Manila; Department of Labor and Employment in Intramuros, Manila.
Two alternative models were formulated for each type of employment using time series analysis by the use of the growth curve model and method least squares. The best models selected considering criteria for forecasted values for the year 2006- 2010 were computed using the formulated equation.
The forecast accuracy was also tested using the Mean Absolute Percentage Error (MAPE) method. The MAPE results showed that there was a small standard error indicating the forecasted values were reliable.

Submitted to the University Library 04/19/2006 SP-3276