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Predicting acquirers of US food and agribusiness firms

Mukhopadhyay, Ramyani; Adelaja, Adesoji O. - In: Agribusiness : an international journal 41 (2025) 1, pp. 60-83

Persistent link: https://www.econbiz.de/10015373813

A time-series probabilistic preventive maintenance strategy based on multi-class equipment condition indicators

Liu, Feng; Sun, Hao; Peng, Rui - In: Journal of the Operational Research Society 73 (2022) 12, pp. 2756-2774

Persistent link: https://www.econbiz.de/10013533335

Healthcare operations and black swan event for COVID-19 pandemic : a predictive analytics

Devarajan, Jinil Persis; Manimuthu, Arunmozhi; … - In: IEEE transactions on engineering management : EM 70 (2023) 9, pp. 3229-3243

Persistent link: https://www.econbiz.de/10014364887

Backward-in-time selection of the order of dynamic regression prediction model

Vlachos, Ioannis; Kugiumtzis, Dimitris - In: Journal of forecasting 32 (2013) 8, pp. 685-701

Persistent link: https://www.econbiz.de/10010344464

A better measure of relative prediction accuracy for model selection and model estimation

Tofallis, Christopher - In: Journal of the Operational Research Society : OR 66 (2015) 8, pp. 1352-1362

Persistent link: https://www.econbiz.de/10011417204

Use of neural networks to accommodate seasonal fluctuations when equalizing time series for the CZK/RMB exchange rate

Rowland, Zuzana; Lazaroiu, Gheorghe; Podhorská, Ivana - In: Risks : open access journal 9 (2021) 1/1, pp. 1-21

The global nature of the Czech economy means that quantitative knowledge of the influence of the exchange rate provides useful information for all participants in the international economy. Systematic and academic research show that the issue of estimating the Czech crown/Chinese yuan exchange...

Persistent link: https://www.econbiz.de/10012422880

Long run predictions using Gompertz Curves : a state wise analysis of COVID-19 infections in India

Adhikary, Abhigayan; Pal, Manoranjan - In: International econometric review 15 (2023) 2, pp. 45-58

The aim of this paper is to perform a State wise Analysis of the First and the Second COVID-19 Waves experienced by India using the Gompertz Curves and to estimate the maximum number of affected individuals for each wave with the best possible accuracy. A total of 21 large States are chosen for...

Persistent link: https://www.econbiz.de/10015375461

Possible relationship of the randomness and the stock performance

Tanaka-Yamawaki, Mieko; Ikura, Yumihiko - In: Digital Designs for Money, Markets, and Social Dilemmas, (pp. 333-346). 2022

Persistent link: https://www.econbiz.de/10013363386

Random walk forecasts of stationary processes have low bias

Lunsford, Kurt G.; West, Kenneth D. - 2023

Persistent link: https://www.econbiz.de/10014340065

A framework to forecast electricity consumption of meters using automated ranking and data preprocessing

Guzel, Tulin; Cinar, Hakan; Cenet, Mehmet Nabi; Oguz, … - In: International Journal of Energy Economics and Policy : IJEEP 13 (2023) 5, pp. 179-193

Persistent link: https://www.econbiz.de/10014380570