Show simple item record

dc.contributor.authorRiansut, Warangkhanaen_US
dc.contributor.authorวรางคณา เรียนสุทธิ์en_US
dc.date.accessioned2020-09-07T07:29:42Z
dc.date.available2020-09-07T07:29:42Z
dc.date.issued2020-09-07
dc.identifier.issn2651-1096
dc.identifier.urihttp://repository.rmutp.ac.th/handle/123456789/3349
dc.descriptionวารสารวิชาการและวิจัย มทร.พระนคร, 13(2) : 93-105en_US
dc.description.abstractThe objective of this study was to construct the black pepper prices forecasting model by 4 statistical methods: Box-Jenkins method, Holt’s exponential smoothing method, Brown’s exponential smoothing method, and damped trend exponential smoothing method. Time series of monthly black pepper prices which were gathered from the website of the Office of Agricultural Economics during January 2005 to December 2018 of 168 observations were divided into 2 datasets. The first dataset had 156 observations from January 2005 to December 2017 for constructing the forecasting models. The second dataset had 12 observations from January to December 2018 for comparing the accuracy of the forecasts via the criteria of the lowest mean absolute percentage error (MAPE) and root mean squared error (RMSE). Research findings indicated that for all forecasting methods that had been studied, the most accurate method was damped trend exponential smoothing method (MAPE = 6.5773, RMSE = 10.3775)en_US
dc.description.sponsorshipRajamangala University of Technology Phra Nakhonen_US
dc.language.isothen_US
dc.subjectBlack pepperen_US
dc.subjectพริกไทยดำen_US
dc.subjectForecasten_US
dc.subjectการพยากรณ์en_US
dc.subjectForecasting modelen_US
dc.subjectตัวแบบพยากรณ์en_US
dc.titleForecasting the prices of black peperen_US
dc.title.alternativeการพยากรณ์ราคาพริกไทยดำen_US
dc.typeJournal Articlesen_US
dc.contributor.emailauthorwarang27@gmail.comen_US
dc.contributor.emailauthorarit@rmutp.ac.then_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record