An application of AR-sieve bootstrap control chart for monthly sales of milk of Company X in the Philippines
Date of Publication
2019
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Mathematics
Subject Categories
Mathematics
College
College of Science
Department/Unit
Mathematics and Statistics
Abstract/Summary
Monitoring a start-up company's stability has become a great influence on its success and long-term growth in forecasting. This paper constructs a nonparametric control chart to monitor the stability of the total monthly milk sales of Company X. Given a process data, an Autoregressive model was fitted, accommodating for non-stationarity as needed, while its residuals were used for resampling using the Sieve Bootstrap method and a control chart was then constructed. The main objective of the paper is to monitor the sales given its time points and look for in-control (IC) and out-of-control (OC) points. IC points indicate that the sales are within its limits-meaning stable. While OC points are categorized into two erratically high and low in sales. After carefully deliberation of the control chart, it was found that the process showed signs of erratically high and low instability.
Abstract Format
html
Language
English
Format
Electronic
Accession Number
CDTU017662
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Recommended Citation
Cabalquinto, S. B., & Tan, P. H. (2019). An application of AR-sieve bootstrap control chart for monthly sales of milk of Company X in the Philippines. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/18575
