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pro vyhledávání: '"GOGA, Camelia"'
Model-assisted estimators have attracted a lot of attention in the last three decades. These estimators attempt to make an efficient use of auxiliary information available at the estimation stage. A working model linking the survey variable to the au
Externí odkaz:
http://arxiv.org/abs/2012.07385
Nonparametric and machine learning methods are flexible methods for obtaining accurate predictions. Nowadays, data sets with a large number of predictors and complex structures are fairly common. In the presence of item nonresponse, nonparametric and
Externí odkaz:
http://arxiv.org/abs/2007.06298
In surveys, the interest lies in estimating finite population parameters such as population totals and means. In most surveys, some auxiliary information is available at the estimation stage. This information may be incorporated in the estimation pro
Externí odkaz:
http://arxiv.org/abs/2002.09736
For marketing or power grid management purposes, many studies based on the analysis of the total electricity consumption curves of groups of customers are now carried out by electricity companies. Aggregated total or mean load curves are estimated us
Externí odkaz:
http://arxiv.org/abs/1806.09949
Akademický článek
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In the near future, millions of load curves measuring the electricity consumption of French households in small time grids (probably half hours) will be available. All these collected load curves represent a huge amount of information which could be
Externí odkaz:
http://arxiv.org/abs/1410.4105
Publikováno v:
The Canadian Journal of Statistics / La Revue Canadienne de Statistique, 2019 Mar 01. 47(1), 65-89.
Externí odkaz:
https://www.jstor.org/stable/48744690
Autor:
Dagdoug, Mehdi1 (AUTHOR), Goga, Camelia2 (AUTHOR), Haziza, David3 (AUTHOR) haziza@dms.umontreal.ca
Publikováno v:
Journal of Survey Statistics & Methodology. Feb2023, Vol. 11 Issue 1, p141-188. 48p.
For fixed size sampling designs with high entropy it is well known that the variance of the Horvitz-Thompson estimator can be approximated by the H\'ajek formula. The interest of this asymptotic variance approximation is that it only involves the fir
Externí odkaz:
http://arxiv.org/abs/1209.6503
When the study variable is functional and storage capacities are limited or transmission costs are high, selecting with survey sampling techniques a small fraction of the observations is an interesting alternative to signal compression techniques, pa
Externí odkaz:
http://arxiv.org/abs/1204.6382