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Design‐based inference on Bernstein type estimators for continuous populations
Authors:Sara Franceschi  Marzia Marcheselli  Stefania Naddeo  Caterina Pisani
Abstract:The estimation of the values of a variable at any point of a study area is performed using Bernstein polynomials when the sampling scheme is implemented by selecting a point in each polygon of a regular grid overimposed onto the area. The evaluation of the precision of the resulting estimates is investigated under a completely design‐based framework. Moreover, as the main contribution to the mean squared error of the Bernstein‐type estimator is due to the bias, also a pseudo‐jackknife estimator is proposed. The performance of both estimators is investigated theoretically and by means of a simulation study. An application to a soil survey performed in Berkshire Downs in Oxfordshire (UK) is considered.
Keywords:Bernstein polynomials  design‐based  jackknife estimator  systematic grid sampling  tessellation stratified sampling
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