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Quality quandaries: Box-cox transformations and time series modeling - Part II
Isenberg School of Management, University of Massachusetts Amherst, Eugene M. Isenberg School of Management, University of Massachusetts Amherst.
Department of Informatics and Mathematical Modelling, Technical University of Denmark.ORCID iD: 0000-0003-4222-9631
2008 (English)In: Quality Engineering, ISSN 0898-2112, E-ISSN 1532-4222, Vol. 20, no 4, p. 516-523Article in journal (Refereed) Published
Abstract [en]

The sales data from the engineering firm called Company X has a type of problem called "Big Q" that involve issues about time series analysis and the use of data transformations. According to Chatfield and Prothero (CP), the forecasts produced using a seasonal ARIMA model fitted to the log of the sales data produced unrealistic forecasts. The application of Box-Cox transformations to Company X's sales data provided a "useful" transformation of these data. The CP tried to find "useful" models that characterize the dynamics in the particular data appropriately, and thus produced sensible forecasts. The forecasting model proposed by CP and the alternative model proposed by Box and Jenkins were analyzed. As a result, both types of models provided to be quite good reasonable forecasts.

Place, publisher, year, edition, pages
2008. Vol. 20, no 4, p. 516-523
National Category
Reliability and Maintenance
Research subject
Quality Technology and Management
Identifiers
URN: urn:nbn:se:ltu:diva-13596DOI: 10.1080/08982110802344491Scopus ID: 2-s2.0-52349104798Local ID: cd59a023-39c2-469e-b3b0-622621fac429OAI: oai:DiVA.org:ltu-13596DiVA, id: diva2:986549
Note
Upprättat; 2008; 20150527 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2022-11-08Bibliographically approved

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Kulahci, Murat

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