42 citations · 86 across the 9 of their papers we have counts for
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Model-assisted estimation in high-dimensional settings for survey data
Mehdi Dagdoug, Camelia Goga, David Haziza
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 e…
Imputation procedures in surveys using nonparametric and machine learning methods: an empirical comparison
Mehdi Dagdoug, Camelia Goga, David Haziza
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…
Model-assisted estimation through random forests in finite population sampling
Mehdi Dagdoug, Camelia Goga, David Haziza
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 estima…
Conditional bias robust estimation of the total of curve data by sampling in a finite population: an illustration on electricity load curves
Hervé Cardot, Anne De Moliner Anne, Camelia Goga
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 electr…
Estimating with kernel smoothers the mean of functional data in a finite population setting. A note on variance estimation in presence of partially observed trajectories
Hervé Cardot, Anne De Moliner, Camelia Goga
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 collec…
Improving the estimation of the odds-ratio using auxiliary information
C. Goga, A Ruiz-Gazen
The odds ratio measure is used in health and social surveys where the odds of a certain event is to be compared between two populations. It is defined using logistic regression, an…
Efficient Estimation of Nonlinear Finite Population Parameters Using Nonparametrics
Camelia Goga, Anne Ruiz-Gazen
Currently, the high-precision estimation of nonlinear parameters such as Gini indices, low-income proportions or other measures of inequality is particularly crucial. In the presen…