Forecasting Hotel Occupancy Rates in Augusta: Can Google Trends Improve Forecasts?

Hdl Handle:
http://hdl.handle.net/10675.2/621896
Title:
Forecasting Hotel Occupancy Rates in Augusta: Can Google Trends Improve Forecasts?
Authors:
Callison, Jamie
Publisher:
Augusta University
Issue Date:
25-Apr-2018
URI:
http://hdl.handle.net/10675.2/621896
Type:
Thesis
Language:
en_US
Series/Report no.:
Spring 2018
Appears in Collections:
Honors Program Theses

Full metadata record

DC FieldValue Language
dc.contributor.authorCallison, Jamieen
dc.date.accessioned2018-08-20T19:55:47Z-
dc.date.available2018-08-20T19:55:47Z-
dc.date.issued2018-04-25-
dc.identifier.urihttp://hdl.handle.net/10675.2/621896-
dc.language.isoen_USen
dc.publisherAugusta Universityen
dc.relation.ispartofseriesSpring 2018en
dc.rightsCopyright protected. Unauthorized reproduction or use beyond the exceptions granted by the Fair Use clause of U.S. Copyright law may violate federal law.en
dc.titleForecasting Hotel Occupancy Rates in Augusta: Can Google Trends Improve Forecasts?en_US
dc.typeThesisen
All Items in Scholarly Commons are protected by copyright, with all rights reserved, unless otherwise indicated.