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Tourism demand modelling and forecasting with artificial neural network models : (Record no. 51848)

000 -LEADER
fixed length control field 01857naa a2200205uu 4500
001 - CONTROL NUMBER
control field 7081011185149
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190211181906.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170810s2016 xx ||||gr |0|| 0 eng d
999 ## - SYSTEM CONTROL NUMBERS (KOHA)
Koha Dewey Subclass [OBSOLETE] PHL2MARC21 1.1
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name CONSTANTINO, H. A.
9 (RLIN) 55503
245 10 - TITLE STATEMENT
Title Tourism demand modelling and forecasting with artificial neural network models :
Remainder of title The Mozambique case study
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Barcelos :
Name of publisher, distributor, etc. IPCA,
Date of publication, distribution, etc. jul./dez. 2016
520 3# - SUMMARY, ETC.
Summary, etc. This study is aimed to model and forecast the tourism demand for Mozambique for the period from January 2004 to December 2013 using artificial neural networks models. The number of overnight stays in Hotels was used as representative of the tourism demand. A set of independent variables were experimented in the input of the model, namely: Consumer Price Index, Gross Domestic Product and Exchange Rates, of the outbound tourism markets, South Africa, United State of America, Mozambique, Portugal and the United Kingdom. The best model achieved has 6.5% for Mean Absolute Percentage Error and 0.696 for Pearson correlation coefficient. A model like this with high accuracy of forecast is important for the economic agents to know the future growth of this activity sector, as it is important for stakeholders to provide products, services and infrastructures and for the hotels establishments to adequate its level of capacity to the tourism demand
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name FERNANDES, P. O.
9 (RLIN) 55504
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name TEIXEIRA, J. P.
9 (RLIN) 55505
773 08 - HOST ITEM ENTRY
Title Tékhne-Revista de Estudos Politécnicos = Polytechnical Studies Review
Related parts 14, 2, p. 113-124
Place, publisher, and date of publication Barcelos : IPCA, jul./dez. 2016
International Standard Serial Number ISSN 16459911
Record control number
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://ac.els-cdn.com/S164599111630010X/1-s2.0-S164599111630010X-main.pdf?_tid=c5b44968-7dd6-11e7-8bbb-00000aacb360&acdnat=1502374885_727858073d553a098ca2c7dc4f6bc130
Link text Acesso
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Periódico
998 ## - LOCAL CONTROL INFORMATION (RLIN)
-- 20170810
Operator's initials, OID (RLIN) 1118^b
Cataloger's initials, CIN (RLIN) Larissa

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