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Pablo de Llano, Carlos Piñeiro, Manuel Rodríguez
Pág. pp. 163 - 198
This paper offers a comparative analysis of the effectiveness of eight popular forecasting methods: univariate, linear, discriminate and logit regression; recursive partitioning, rough sets, artificial neural networks, and DEA. Our goals are: clarify the...
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Anton Kolosnitsyn, Oleg Khamisov, Eugene Semenkin and Vladimir Nelyub
We consider the Golden Section and Parabola Methods for solving univariate optimization problems. For multivariate problems, we use these methods as line search procedures in combination with well-known zero-order methods such as the coordinate descent m...
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Fabiola Stockmans De Nardi, Thomas dos Santos Trentin, Nicolas dos Santos Trentin, Rosiani Castoldi da Costa, Eunice Oliveira Calvete, Pedro Palencia and José Luís Trevizan Chiomento
Among the bio-tools that contribute to making the strawberry production system more sustainable are arbuscular mycorrhizal fungi (AMF), which can be used as biofertilizers. Thus, five doses of phosphorus (P) applied to plants with AMF and a control (100%...
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Qianyang Li and Xingjun Zhang
For time series forecasting, multivariate grey models are excellent at handling incomplete or vague information. The GM(1, N) model represents this group of models and has been widely used in various fields. However, constructing a meaningful GM(1, N) mo...
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Antoni Montañana, María Luisa Nolé and Carmen Llinares
In the current real estate landscape, there is a growing trend to focus on adding value to products to address the customer?s affective/emotional perspective, his/her perceptions of the ?Prestige? of properties being crucial for his/her final assessments...
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Konstantinos P. Fourkiotis and Athanasios Tsadiras
In today?s evolving global world, the pharmaceutical sector faces an emerging challenge, which is the rapid surge of the global population and the consequent growth in drug production demands. Recognizing this, our study explores the urgent need to stren...
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Mosab I. Tabash, Neenu Chalissery, T. Mohamed Nishad and Mujeeb Saif Mohsen Al-Absy
Market turbulences and their impact on the financial market, particularly on the stock market, is a financial topic that has received significant research attention recently. This study compared the characteristics of stock return and volatility in selec...
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Alan Ferreira Leite de Lima, Milton César Costa Campos, Joalison de Brito Silva, Witória de Oliveira Araújo, Bruno Campos Mantovanelli, Fernando Gomes de Souza, Raphael Moreira Beirigo, Douglas Marcelo Pinheiro da Silva, Rodrigo Santana Macedo and Flávio Pereira de Oliveira
The processes of occupation and exploitation in the Amazon have been increasing, and as a consequence, forest areas are being replaced by agroecosystems. As a consequence of this change, changes have been occurring in the soil attributes, and consequentl...
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Serban Danielescu, Kerry T. B. MacQuarrie, Judith Nyiraneza, Bernie Zebarth, Negar Sharifi-Mood, Mark Grimmett, Taylor Main and Mona Levesque
The Root Zone Water Quality Model (RZWQM) is a one-dimensional process-based model used for simulating major physical, chemical, and biological processes in agricultural systems. To date, the model has not been applied to potato production systems for si...
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Cornel Ilinca, Stefan Ciprian Stanca and Cristian Gabriel Anghel
This study examines all of the equations necessary to derive the parameters for seven probability distributions of three parameters typically used in flood frequency research, namely the Pearson III (PE3), the generalized extreme value (GEV), the Weibull...
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