000 02695nam a2200313 a 4500
003 OSt
005 20221123091112.0
008 170926s19uu xx 00 eng d
040 _cCvSU Main Campus Library
041 0 _aeng
082 0 4 _a633.1
_bM85 2016
100 0 _aMotas, Jaina O.
_eauthor
_923044
245 1 0 _aTime series analysis of the corn production in the Philippines /
_cby Jaina O. Motas.
260 0 _aIndang, Cavite :
_c2016.
_bCavite State University- Main Campus,
300 _axiv, 64 pages :
_c28 cm.
_billustrations ;
336 _2rdacontent
_atext
337 _2rdamedia
_aunmediated
338 _2rdacarrier
_avolume
500 _aThesis (BS Applied Mathematics) Cavite State University
504 _aIncludes bibliographical references.
508 _aCollege of Arts and Science (CAS)
520 3 _aMOTAS, JAINA ONA. Time Series Analysis of the Corn Production in the Philippines Since 1980 — 2015, Undergraduate Thesis. Bachelor of Science in Applied Mathematics (Major in Statistics). Cavite State University, Indang, Cavite, December 2016. Adviser: Prof. Analyn A. Mojica. The study was conducted to formulate an appropriate forecasting model for the corn production; test the accuracy of the formulated model; and provide the forecast of the Philippines' corn production for the next five years. The data used in the study were secondary data of the corn production from 1980 — 2015 in the Philippine Statistics Authority (PSA). Models were selected using the time series analysis. The best models for the corn production were selected considering several criteria: R—squared, Adjusted R—squared, Akaike Information Criterion, Schwarz Information Criterion, Mean Absolute Percentage Error, Mean Absolute Error, and Root Mean Square Error. The selected best model was the ARIMA (3, 2, 3), and the forecasted values for the corn production were computed using the formulated model equations. The estimated model for the corn production was: A = -0.591 A2 Yt-l - 0.522 A2 Yt-2 - 0.786 A2 Yt-3 - 0.695 A2 Yt-4 - 0.170 - 0.445 A2 Y 6 and the forecasted values were 35279.029 million metric tons, 30536.91 million metric tons, 28347.10 million metric tons, 28713.01 million metric tons, 32300.91 in metric tons respectively.
541 _cSubmitted copy to the University Library.
_d05/29/2017
_eT-6692
650 0 _aCorn
_92558
690 _92526
_aBachelor of Science in Applied Mathematics
700 _93019
_aMojica, Analyn A.
_eadviser
856 _uhttp://library.cvsu.edu.ph/cgi-bin/koha/opac-retrieve-file.pl?id=0b9afe3f39e585d5eef77efd8fb99498
_yClick here to view thesis abstract and table of contents
942 _2ddc
_cMAN
999 _c11264
_d11264