Results 11 to 20 of about 3,383,156 (274)
Introducción. Los nódulos tiroideos son la condición endocrina más frecuente para los cirujanos. El principio de la evaluación de un nódulo tiroideo es determinar si éste corresponde a un carcinoma.
Edgar Alfonso+2 more
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Parsimonious statistical learning models for low-flow estimation [PDF]
Statistical learning methods offer a promising approach for low-flow regionalization. We examine seven statistical learning models (Lasso, linear, and nonlinear-model-based boosting, sparse partial least squares, principal component regression, random ...
J. Laimighofer, M. Melcher, G. Laaha
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Statistical indices from bifactor models
Many instruments are created with the primary purpose of scaling individuals on a single trait. However psychological traits are often complex and contain domain specific manifestations.
Sergio Alexis Dominguez-Lara+1 more
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Statistical models for language representation
ONTARE. REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA This paper discuses several models for the computational representation of language. First, some n-gram models that are based on Markov models are introduced.
Rubén Dorado
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On direct sequential analysis of heart rate variability signals [PDF]
Heart rate variability analysis represents one of the most promising and the most commonly used quantitative measures of the cardiovascular autonomic regulatory system.
Bajić Dragana+2 more
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Fluctuations in Statistical Models [PDF]
Proceedings of 4th International Workshop ``Critical Point and Onset of Deconfinement'', July 9-13, 2007, Darmstadt ...
openaire +3 more sources
Train Performance Analysis Using Heterogeneous Statistical Models
This study investigated the effect of a harsh winter climate on the performance of high-speed passenger trains in northern Sweden. Novel approaches based on heterogeneous statistical models were introduced to analyse the train performance to take time ...
Jianfeng Wang, Jun Yu
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CHARACTERISTICS OF INTEGRATION BETWEEN STATISTICAL MODELS AND MATHEMATICAL MODELS [PDF]
This study focuses on integrating mathematical and statistical modeling, where a statistical model estimates the parameters of a mathematical model, or a mathematical model generates data to train a statistical model.
Rasha Ibrahim Hajaj+4 more
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Statistical Inference: The Big Picture [PDF]
Statistics has moved beyond the frequentist-Bayesian controversies of the past. Where does this leave our ability to interpret results? I suggest that a philosophy compatible with statistical practice, labeled here statistical pragmatism, serves as a foundation for inference.
arxiv +1 more source
Statistical Models for Corporate Credit Risk Assessment – Rating Models
Taking into consideration the weakness of the models based on discrimination function (Z-score) proposed by Altman within the conditions of polish economy some attempts were taken in the 90s to adjust these models to the reality of post-communist economy.
Aneta Ptak-Chmielewska
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