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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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Mayra Eliana Valencia Zapata, José Herminsul Mina Hernandez, Carlos David Grande Tovar, Carlos Humberto Valencia Llano, Blanca Vázquez-Lasa, Julio San Román and Luis Rojo
Acrylic bone cement (ABC) is one of the most used materials in orthopedic surgery, mainly for the fixation of orthopedic implants to the bone. However, ABCs usually present lack of biological activity and osseointegration capacity that leads to loosening...
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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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Manuel Rodríguez López, Carlos Piñeiro Sánchez, Pablo de Llano Monelos
Pág. pp. 187 - 217
This paper offers an exhaustive analysis of the effectiveness of several models and methodologies that are commonly used to forecast financial failure: Linear, MDA, Logit, and artificial neural network. Our main aim is to evaluate their relative strength...
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Polasek Wolfgang, Carlos Llano, Richard Sellner
Pág. 194 - 214
Chow and Lin (1971) were the first to develop a unified framework for the three problems(interpolation, extrapolation and distribution) of predicting times series by related series(the ?indicators?). This paper develops a spatial Chow-Lin procedure for c...
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