An introduction to helpful forecasting methods for hotel revenue management [Summary]

dc.contributor.author	Pereira, Luis Nobre	en
dc.date.accessioned	2018-10-26T05:33:27Z	en
dc.date.available	2018-10-26T05:33:27Z	en
dc.date.issued	2016-09	en
dc.description.abstract	Revenue management is a key tool for hotel managers’ decision-making process. Cutting-edge revenue management systems have been developed to support managers’ decisions and all have as an essential component an accurate forecasting module. This paper aims to introduce new time series forecasting models to be considered as a tool for forecasting daily hotel occupancies. These models were developed in a state space modeling framework which is capable of tackling seasonal complexities such as multiple seasonal periods and non-integer seasonality.	en
dc.format.mimetype	application/pdf	en
dc.identifier.uri	http://hdl.handle.net/10919/85525	en
dc.language.iso	en_US	en
dc.publisher	Virginia Tech	en
dc.rights	Creative Commons Attribution 4.0 International	en
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	en
dc.subject	Complex seasonal patterns	en
dc.subject	Forecasting	en
dc.subject	Forecast accuracy	en
dc.subject	Hotel demand	en
dc.subject	Revenue management	en
dc.title	An introduction to helpful forecasting methods for hotel revenue management [Summary]	en
dc.title.serial	International Journal of Hospitality Management	en
dc.type	Summary	en
dc.type.dcmitype	Text	en

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