Search Results - subject:"MAPE"

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A critical review of the use of R² in risk equalization research

Ven, Wynand P. van de; Kleef, Richard Cornelis van - In: The European journal of health economics 26 (2025) 3, pp. 363-375

Persistent link: https://www.econbiz.de/10015394744

Time series analysis using different forecast methods and case fatality rate for Covid-19 pandemic

Bhattacharjee, Atanu; Vishwakarma, Gajendra K.; Gajare, … - In: Regional science policy and practice : RSPP 15 (2023) 3, pp. 506-519

Persistent link: https://www.econbiz.de/10014323147

Comparative performance of LSTM and ARIMA for the short-term prediction of Bitcoin prices

Latif, Navmeen; Selvam, Joseph Durai; Kapse, Manohar; … - In: Australasian accounting business and finance journal : AABF 17 (2023) 1, pp. 256-276

Persistent link: https://www.econbiz.de/10014258988

A machine learning approach to forecast international trade: The case of Croatia

Jošić, Hrvoje; Žmuk, Berislav - In: Business Systems Research (BSR) 13 (2022) 3, pp. 144-160

evaluated by calculating mean absolute percentage errors (MAPE). Results: It was found that machine learning algorithms have a …

Persistent link: https://www.econbiz.de/10015408608

A machine learning approach to forecast international trade : the case of Croatia

Jošić, Hrvoje; Žmuk, Berislav - In: Business systems research : a system view accross … 13 (2022) 3, pp. 144-160

evaluated by calculating mean absolute percentage errors (MAPE). Results: It was found that machine learning algorithms have a …

Persistent link: https://www.econbiz.de/10013542223

Forecasting with ARMA models : a case study of the exchange rate between the US Dollar and a unit of the British Pound

Isiaka, Abdulaleem; Isiaka, Abdulqudus; Isiaka, Abdulqadir - 2021

Persistent link: https://www.econbiz.de/10012593861

Aplicação de modelos dinâmicos bayesianos para projeção de arrecadação tributária

Gadelha, Sérgio Ricardo B.; Medrano, Luis Alberto Toscano - 2020

an MAPE below 15%. …

Persistent link: https://www.econbiz.de/10012616488

Compiling C/N and total-N dataset to support countrywide soil nutrient emission models for Hungary

Bakacsi, Zsófia; Laborczi, Annamária; Szatmári, Gábor; … - In: Studies in agricultural economics 122 (2020) 2, pp. 86-95

Persistent link: https://www.econbiz.de/10012295867

Ornstein-Uhlenbeck process and GARCH model for temperature forecasting in weather derivatives valuation

Žmuk, Berislav; Kovač, Matej - In: Croatian review of economic, business and social … 6 (2020) 1, pp. 27-42

2018 forecast. Forecasted values were compared to the available actual data for 2018 using MAPE and RMSE methods. The GARCH …-U process and MAPE is 140.66 % versus 144.55 %. Artificial intelligence and supercomputers can be used for possible improvements …

Persistent link: https://www.econbiz.de/10012264990

Aplicação de modelos dinâmicos bayesianos para projeção de arrecadação tributária

Mendonça, Mário Jorge; Gadelha, Sérgio Ricardo B.; … - 2020

an MAPE below 15%. …

Persistent link: https://www.econbiz.de/10012285191