基于SARIMA模型的智利地区旅游预测

J. Brida, Nicolás Garrido
{"title":"基于SARIMA模型的智利地区旅游预测","authors":"J. Brida, Nicolás Garrido","doi":"10.1504/IJLTM.2011.038888","DOIUrl":null,"url":null,"abstract":"In this paper we search for the best SARIMA specification for forecasting arrivals in thirteen regions of Chile. We use monthly time series of arrivals from January 2004 to March 2009. The forecasting performance is assessed using data for the period October 2008 to March 2009. We use three methods for the specification of the model; the Box-Jenkins method with Akaike criterium, the method of minimizing the forecast error and the regARIMA method of the X12-ARIMA package. We compare the performance of the three methods according to their forecast results. Regions have different SARIMA specifications, resembling the underlying differences in tourism infrastructure and capacities available within each Region.","PeriodicalId":162328,"journal":{"name":"International Journal of Leisure and Tourism Marketing","volume":"354 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Tourism forecasting using SARIMA models in Chilean regions\",\"authors\":\"J. Brida, Nicolás Garrido\",\"doi\":\"10.1504/IJLTM.2011.038888\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we search for the best SARIMA specification for forecasting arrivals in thirteen regions of Chile. We use monthly time series of arrivals from January 2004 to March 2009. The forecasting performance is assessed using data for the period October 2008 to March 2009. We use three methods for the specification of the model; the Box-Jenkins method with Akaike criterium, the method of minimizing the forecast error and the regARIMA method of the X12-ARIMA package. We compare the performance of the three methods according to their forecast results. Regions have different SARIMA specifications, resembling the underlying differences in tourism infrastructure and capacities available within each Region.\",\"PeriodicalId\":162328,\"journal\":{\"name\":\"International Journal of Leisure and Tourism Marketing\",\"volume\":\"354 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Leisure and Tourism Marketing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJLTM.2011.038888\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Leisure and Tourism Marketing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJLTM.2011.038888","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13

摘要

在本文中,我们寻找预测智利13个地区到达的最佳SARIMA规范。我们使用从2004年1月到2009年3月的每月到达时间序列。使用2008年10月至2009年3月期间的数据评估预测效果。我们使用了三种方法来规范模型;结合赤池准则的Box-Jenkins方法、预测误差最小化方法和X12-ARIMA软件包的regARIMA方法。根据预测结果对三种方法的性能进行了比较。区域有不同的SARIMA规格,类似于每个区域内旅游基础设施和可用能力的潜在差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tourism forecasting using SARIMA models in Chilean regions
In this paper we search for the best SARIMA specification for forecasting arrivals in thirteen regions of Chile. We use monthly time series of arrivals from January 2004 to March 2009. The forecasting performance is assessed using data for the period October 2008 to March 2009. We use three methods for the specification of the model; the Box-Jenkins method with Akaike criterium, the method of minimizing the forecast error and the regARIMA method of the X12-ARIMA package. We compare the performance of the three methods according to their forecast results. Regions have different SARIMA specifications, resembling the underlying differences in tourism infrastructure and capacities available within each Region.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信