Title

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 Department

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

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