MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03602nam a2200313 a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20221108092918.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
170417s19uu xx 00 eng d |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
CvSU Main Campus Library |
| 041 0# - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
658.5 |
| Item number |
V81 2016 |
| 100 #0 - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Viray, Tisha Lynd G. |
| 9 (RLIN) |
20261 |
| Relator term |
author |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Time series analysis of banana production in the Philippines / |
| Statement of responsibility, etc. |
by Tisha Lynd G. Viray. |
| 260 0# - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Indang, Cavite : |
| Date of publication, distribution, etc. |
2016. |
| Name of publisher, distributor, etc. |
Cavite State University- Main Campus, |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiv, 68 pages : |
| Dimensions |
28 cm. |
| Other physical details |
illustrations ; |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Thesis (BS Applied Mathematics) Cavite State University |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references. |
| 508 ## - CREATION/PRODUCTION CREDITS NOTE |
|---|
| College and Department |
College of Arts and Science (CAS) |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
VIRAY, TISHA LYND GUEVARRA. Time Series Analysis of Banana Production in the Philippines. Undergraduate Thesis. Bachelor of Science in Applied Mathematics with specialization in Statistics. College of Arts and Sciences, Cavite State University, Indang, Cavite. April 2016. Adviser: Dr. Renelyn R. Cordial.<br/><br/>The study was undertaken to determine the appropriate ARIMA model to describe the annual production of banana in the Philippines. Specifically, the study aimed to formulate an Autoregressive Integrated Moving Average (ARIMA) model that can be used to forecast banana production in the Philippines; test the adequacy of the formulated model; generate forecasts of banana production from 2015-2020 and determine the forecast ability of the fitted model. This study aimed to be beneficial to different sectors such as government, policy makers, exporters, producers, importing countries and future researchers.<br/><br/>The data used in the study were secondary data from the website of Bureau of Agricultural Statistics (BAS) of Philippines Statistics Authority (PSA). Model was selected using time series analysis. Three models were formulated in this study. To select the best model that would forecast the banana production of Philippines from 2015 to 2020, the following criteria were considered: R- Squared; Adjusted R-Squared; standard error of regression; sum of squared residual; Durbin-Watson statistics; Akaike Information Criterion (AIC) and Schwarz Bayesian Criterion (SBC).<br/><br/>Forecasted values from the year 2015 to 2020 were computed using the formulated model IMA (0, 2, l) with the equation:<br/>A 2 1nyt = 0.361918A2 1net-1 + 4.276164A 2 1net-2 — 1.638082A 2 1net<br/><br/>The forecasted banana production in the Philippines for the year 2015 to 2020 followed a consistent trend. For the year 2015, the banana production was approximate by be metric tons; 9,289,968.7 metric tons in 2016; 9,543,518.6 metric tons in 2017; 9,796,375.8 metric tons in 2018; 10,049,232.9 metric tons in 2019; and 10,302,090 metric tons in 2020.<br/><br/>The forecast accuracy was also tested using Mean Absolute Percentage Error (MAPE) method and Theil 's U Statistics. The MAPE results showed that there was a small standard error, the computed Theil's U statistics was less than value 1. This was an indication that the forecast was reliable.<br/> |
| 541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Method of acquisition |
Submitted copy to the University Library. |
| Date of acquisition |
02/14/2017 |
| Accession number |
T-6204 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Time study |
| 9 (RLIN) |
13149 |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) |
|---|
| 9 (RLIN) |
2526 |
| Course or Program |
Bachelor of Science in Applied Mathematics |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
30419 |
| Personal name |
Cordial, Renelyn R. |
| Relator term |
adviser |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Electronic File |
<a href="http://library.cvsu.edu.ph/cgi-bin/koha/opac-retrieve-file.pl?id=f62bc8ea86055793ec8f2ebfa039d009">http://library.cvsu.edu.ph/cgi-bin/koha/opac-retrieve-file.pl?id=f62bc8ea86055793ec8f2ebfa039d009</a> |
| Link text |
Click here to view thesis abstract and table of contents |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Theses / Manuscripts |
