Mathematical modelling and forecasting of the Lithuanian export by Virmantas Kvedaras, Rimantas Rudzkis

“…The forecasts of Lithuanian exports to the three different country groups are formed assuming constant shares between the analysed and the remaining countries in a certain group. …”
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The development trend of China’s marine economy: a predictive analysis based on industry level by Yu Chen, Huahan Zhang, Lingling Pei

Subjects: “…grey forecasting model…”
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THE FORECASTS OF PIG MEAT PRICES IN THE EU - THE USE OF ADAPTIVE WINTER'S MODEL by Agnieszka TŁUCZAK

“…On the basis of estimated models the forecast of pig meat prices has been calculated. The ex post measurement of forecasts were used to asses a quality of models.…”
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Comparing human and model-based forecasts of COVID-19 in Germany and Poland. by Nikos I Bosse, Sam Abbott, Johannes Bracher, Habakuk Hain, Billy J Quilty, Mark Jit, Centre for the Mathematical Modelling of Infectious Diseases COVID-19 Working Group, Edwin van Leeuwen, Anne Cori, Sebastian Funk

“…To investigate this, we analysed different real-time forecasts of cases of and deaths from COVID-19 in Germany and Poland over a 1-4 week horizon submitted to the German and Polish Forecast Hub. …”
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Trends and challenges of forecasting in the airline industry research by Dewi Oki Anita Candra, Masruroh Nur Aini, Wibowo Budhi Sholeh

“…It focuses on understanding the aviation industry’s research gaps, highlighting emerging trends, and offering insights into future forecasting innovations. A systematic literature review in the Scopus database used Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) and bibliometric analysis. …”
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Modelling and forecasting of Nigeria stock market volatility by Olufemi Samuel Adegboyo, Kiran Sarwar

“…Among the models tested, GJR-GARCH with the Student’s t-distribution performs best in forecasting volatility, providing superior fit and forecasting accuracy. …”
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Empirical prediction intervals applied to short term mortality forecasts and excess deaths by Ricarda Duerst, Jonas Schöley

“…Conclusion Our results highlight the importance of well-calibrated prediction intervals that account for the naturally occurring seasonal uncertainty in mortality forecasting. Empirical prediction intervals provide a better performing solution for estimating forecast uncertainty in the analyses of excess deaths compared to conventional parametric intervals.…”
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ANALYSIS AND FORECAST OF THE EMPLOYEES IN THE PUBLIC AND PRIVATE HEALTH SYSTEMS IN ROMANIA by Lucian MIRESCU, Ana-Maria Camelia POPESCU

“…Using the least squares method, analytical functions are found that model the trend and forecasts are made for the years 2023 and 2024. The confidence intervals for the predictions are also found, at a significance threshold of 5%, and the correlations between certain indicators are analysed. …”

Enhanced Fuzzy Delphi Method in Forecasting and Decision-Making by Majed G. Alharbi, Hamiden Abd El- Wahed Khalifa

“…The Delphi method was developed by the RAND Corporation at Santa Monica, California, and is widely used for long-range forecasting in management science. It is a method by which the subjective data of experts are made to converge using some statistical analyses. …”
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Photovoltaic power forecasting: A Transformer based framework by Gabriele Piantadosi, Sofia Dutto, Antonio Galli, Saverio De Vito, Carlo Sansone, Girolamo Di Francia

“…This paper systematically and quantitatively analyses the literature by comparing different machine learning techniques and the impact of different meteorological forecast providers. …”
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The blue economy effects on EUROMED tourism: forecasting approach by Mai Mohamed Yasser, Yasser Tawfik Halim, Alaa A. Abd Elmegaly

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Time-Series Forecasting for Peak Hour Traffic Accidents by Md. Ferdousul Haque Shikder, Yili Tang, Majid Emami Javanmard

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Improving the reliability of the forecast of the quality of carbonate raw materials by К. V. Repina

“…Implementation of selective mining of carbonate rock deposits requires preliminary forecasting of karst formations in the strata of primary rocks.Aim. …”
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Applying Block Bootstrap Methods in Silver Prices Forecasting by Łukasz Sroka

“…In order to achieve the intended goal, ex- -post and ex-ante errors for the forecasts prepared by applying bootstrap methods were analysed. …”
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Forecasting financial distress for organizational sustainability: An empirical analysis by Soumya Ranjan Sethi, Dushyant Ashok Mahadik

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Research on performance forecasting bias in start-up companies by Yukiko Konno

“…Therefore, forecast bias is a very important issue for a company’s management. …”
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Forecasting the development of poultry farming based on time series by Anatolii Kulyk, Katerina Fokina-Mezentseva, Alla Saiun, Daryna Saiun

“…To assess the quality of the forecast, the indicators of the mean absolute error, the standard deviation, the mean absolute error in percentage and the mean absolute scaled error for 24 months of forecasting are determined and analysed. …”
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Assessment of Malaysia-wide PM2.5 Forecasts from a Global Model by Zhixian Tan, Mohd Talib Latif, Matthew J. Ashfold

“…We used the surface PM2.5 forecasts from the Copernicus Atmosphere Monitoring Service’s (CAMS) global atmospheric composition forecast dataset (CAMS-GACF) and evaluated them against hourly PM2.5 observations recorded throughout Malaysia from 2018 to 2020 via exceedance and accuracy analyses. …”
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Role of evolving sea surface temperature modes of variability in improving seasonal precipitation forecasts by Agniv Sengupta, Duane E. Waliser, Michael J. DeFlorio, Bin Guan, Luca Delle Monache, F. Martin Ralph

“…An evaluation of the forecast system’s performance from cross-validation analyses demonstrates skill over core winter precipitation regions—California, Pacific Northwest, and the Upper Colorado River basin. …”
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Monthly Electricity Generatıon Forecast in Solar Power Plants with LSTM by Ali Hakan Isık, Ömer Çetin

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