Comparison of methods to forecast import demand in seafood industry
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Journal Title
Journal ISSN
Volume Title
School of Business |
Master's thesis
Author
Date
2019
Department
Major/Subject
Mcode
Degree programme
Information and Service Management (ISM)
Language
en
Pages
70
Series
Description
Thesis advisor
Seppälä, TomiKeywords
demand forecasting, miscellaneous shrimps, univariate, multivariate, ARIMA, ARDL, VAR, VECM
