Monte Carlo integration strategies for design-based regression estimators of the spatial mean-Reference-Cited by-同舟云学术

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Monte Carlo integration strategies for design-based regression estimators of the spatial mean

Published:2005 Issue:8 Volume:16 Page:803-817
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Barabesi L.,Marcheselli M.

Publisher

Wiley

Subject

Ecological Modelling,Statistics and Probability

Reference19 articles.

1. 2004. Replicated environmental sampling design and Monte Carlo integration methods: two sides of the same coin. Invited paper, Proceedings of the XLII Meeting of the Italian Statistical Society, Bari, June 9-12, 2004.

2. Steady-state ranked set sampling for replicated environmental sampling designs

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1. Design-based consistency of the Horvitz–Thompson estimator under spatial sampling with applications to environmental surveys;Spatial Statistics;2020-03

2. Geographically weighted regression model-assisted estimation in survey sampling;Journal of Nonparametric Statistics;2018-07-27

3. Spatially Balanced Sampling of Continuous Populations;Scandinavian Journal of Statistics;2018-04-16

4. Mixed model regression estimation of a spatial total in the continuous plane paradigm;Journal of Statistical Planning and Inference;2017-06

5. Properties of design-based estimation under stratified spatial sampling with application to canopy coverage estimation;The Annals of Applied Statistics;2012-03-01

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