Results 11 to 20 of about 6,229,347 (272)
Statistical models with uncertain error parameters
In a statistical analysis in Particle Physics, nuisance parameters can be introduced to take into account various types of systematic uncertainties. The best estimate of such a parameter is often modeled as a Gaussian distributed variable with a given ...
Glen Cowan
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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 inference in compound functional models [PDF]
We consider a general nonparametric regression model called the compound model. It includes, as special cases, sparse additive regression and nonparametric (or linear) regression with many covariates but possibly a small number of relevant covariates ...
Dalalyan, Arnak +2 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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Statistical transmutation in doped quantum dimer models [PDF]
We prove a "statistical transmutation" symmetry of doped quantum dimer models on the square, triangular and kagome lattices: the energy spectrum is invariant under a simultaneous change of statistics (i.e.
Cabra, D. C. +4 more
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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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Paper discusses the similarities and differences in predicting the full flowering of apple tree (cv. 'Bobovec'), pear tree (cv. 'Pastorjevka') and domestic plum tree. The study was conducted at University of Ljubljana.
Klemen BERGANT +2 more
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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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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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