International Journal of Scientific and Research Publications

Home
About Us
Editorial Board

Online Publication

Review Process
Publication Ethics

Call For Papers

Call for Research Paper

Authors

Online Submission
Paper Submission Guidelines
Online Publication Charge
Print Publication Charge
How to publish research paper
Publication Certificate
Research Catalogue
Resources
FAQs

Reviewer

Join Reviewer Panel
Reviewer Guidelines

IJSRP Publications

E-Journal
Print Journal

Downloads

IJSRP Paper Format
Instructions

Contact Us

Feedback Form
Contact Us
Site Map

IJSRP, Volume 10, Issue 8, August 2020 Edition [ISSN 2250-3153]



      Sheila Mae D. Golingay

Abstract: This research paper investigates the accuracy of seven time series methods for short-term production volume forecasting. Different methods are compared to measure the forecasting performance on the monthly production volume of the Region XII, Philippines during the 2017-2019 period. The findings revealed that even the autoregressive integrated moving average (ARIMA) model performed well on the given data, but, overall, the best results were achieved with seasonal naïve method.

[Reference this Paper]   [BACK]

Ooops! It appears you don't have a PDF plugin for this barrPostingser. you can click here to download the PDF file.

Reference this Research Paper (copy & paste below code):

Sheila Mae D. Golingay (2020); Out-of-sample forecasting of the Region XII, Philippines’ non-metallics production volume using different modeling techniques; International Journal of Scientific and Research Publications (IJSRP) 10(08) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.10.08.2020.p10469

IJSRP PUBLICATIONS

Home

About Us
Editorial Board
Call for Paper

Call for Research Paper
Paper Status
IJSRP Paper Format
Join Us

Download e-journal
Join Forum
Invite Friends
Subscribe
Get Social with Us!



Copyright © 2011-2021, IJSRP Inc., All rights reserved.