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 |