0000000000212150

AUTHOR

Maria Rosaria De Rosa

showing 4 related works from this author

Functional linear regression with functional rensponse application to prediction of electricity consumption

2008

Functional linear regression model linking observations of a functional response variable with measurements of an explanatory functional variable is considered. The slope function is estimated with a tensor product splines. Some computational issues are addressed by means of a simulation study. This model serves to analyze a real data set concerning electricity consumption in Sardinia. The interest lies in predicting either incoming weekend or incoming weekdays consumption curves if actual weekdays consumption is known.

Functional linear regression functional response ARH(1) penalized least squares B-splines electricity consumption in Sardegna.
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Algoritmi di map matching per la ricostruzione dei percorsi stradali rilevati da dati GPS: aspetti teorici, computazionali e applicativi

2012

Settore ICAR/05 - Trasportimap matchingGPS
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Electricity consumption prediction with functional linear regression using spline estimators

2010

A functional linear regression model linking observations of a functional response variable with measurements of an explanatory functional variable is considered. This model serves to analyse a real data set describing electricity consumption in Sardinia. The interest lies in predicting either oncoming weekends’ or oncoming weekdays’ consumption, provided actual weekdays’ consumption is known. A B-spline estimator of the functional parameter is used. Selected computational issues are addressed as well.

Statistics and Probabilitybusiness.industryB-splineEstimatorelectricity consumption in SardiniaSpline (mathematics)functional linear regressionfunctional responseB-splineARH(1)StatisticsEconometricspenalized least squareElectricityStatistics Probability and UncertaintybusinessFunctional linear regressionMathematicsJournal of Applied Statistics
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Il filo e il labirinto: l'analisi quantitativa

2006

Analisi delle corrispondenze multiple cluster analysis
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