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Definition and identification of the types of collinearity in multiple linear regressions in the context of OLS estimations
Pavelescu, Florin Marius - In: Selected issues in macroeconomic and regional modeling …, (pp. 267-286). 2016
Persistent link: https://www.econbiz.de/10011504873
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Multivariate nonlinear forecasting : using financial information to forecast the real sector
Jaditz, Theodore Mark; Riddick, Leigh A.; Sayers, Chera L. - In: Macroeconomic dynamics 2 (1998) 3, pp. 369-382
Persistent link: https://www.econbiz.de/10001617659
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Signal extraction goodness-of-fit diagnostic tests under model parameter uncertainty : formulations and empirical evaluation
Blakely, Chris; McElroy, Tucker - In: Econometric reviews 36 (2017) 4, pp. 447-467
Persistent link: https://www.econbiz.de/10011795242
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Hybrid approaches based on SARIMA and artificial neural networks for inspection time series forecasting
Ruiz-Aguilar, Juan Jesus; Turias, I. J.; Jiménez-Come, … - In: Transportation research / E : an international journal 67 (2014), pp. 1-13
Persistent link: https://www.econbiz.de/10010384606
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Modeling and forecasting Gambia’s inflation rates
Manjang, Sanna; Diongue, Abdou Ka; Odongo, Leo - In: International journal of economics and finance 6 (2014) 10, pp. 129-138
Persistent link: https://www.econbiz.de/10010422146
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A novel approach to model selection in tourism demand modeling
Akın, Melda - In: Tourism management : research, policies, practice 48 (2015), pp. 64-73
Persistent link: https://www.econbiz.de/10010508442
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Modeling and forecasting of COVID-19 from the context of Ghana
Mohammed, Jamal; Al Khatib, Abdullah Mohammed Ghazi; … - In: African review of economics and finance : AREF : the … 13 (2021) 2, pp. 124-141
Persistent link: https://www.econbiz.de/10012795076
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Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach
Xu, Shuojiang; Chan, Hing Kai; Zhang, Tiantian - In: Transportation research / E : an international journal 122 (2019), pp. 169-180
Persistent link: https://www.econbiz.de/10011995052
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Improved tourism demand forecasting with CIR# model : a case study of disrupted data patterns in Italy
Bufalo, Michele; Orlando, Giuseppe - In: Tourism review 79 (2024) 2, pp. 445-464
Persistent link: https://www.econbiz.de/10014512279
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Forecasting the total non-coincidental monthly system peak demand in the Philippines : a comparison of seasonal autoregressive integrated moving average models and artificial neura...
Parreno, Samuel John - In: International Journal of Energy Economics and Policy : IJEEP 13 (2023) 5, pp. 544-552
Persistent link: https://www.econbiz.de/10014384462