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Gérard Favier and Alain Kibangou
Nonlinear (NL) and multilinear (ML) systems play a fundamental role in engineering and science. Over the last two decades, active research has been carried out on exploiting the intrinsically multilinear structure of input?output signals and/or models in...
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Hongtao Zhai, Jucui Wang, Yangchun Lu, Zhenxing Rao, Kai He, Shunyi Hao, Aidi Huo and Ahmed Adnan
Previous scholarly investigations have mainly concentrated on examining water intake, particularly within the specific domain of coal mines. Nevertheless, the scholarly discourse lacks significant research on predicting water inflow in environments with ...
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Cornel Ilinca and Cristian Gabriel Anghel
Accurately determining the maximum designed water discharges of dams is extremely important, considering the economic costs of carrying out these types of hydrotechnical works and the possible disastrous consequences resulting from their incorrect design...
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Jamil Al-Azzeh, Abdelwadood Mesleh, Maksym Zaliskyi, Roman Odarchenko and Valeriyi Kuzmin
The main purpose of mathematical model building while employing statistical data analysis is to obtain high accuracy of approximation within the range of observed data and sufficient predictive properties. One of the methods for creating mathematical mod...
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Anant Mathur, Sarat Moka and Zdravko Botev
Variance-component models are an indispensable tool for statisticians wanting to capture both random and fixed model effects. They have applications in a wide range of scientific disciplines. While maximum likelihood estimation (MLE) is the most popular ...
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