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A competitive design‐based spatial predictor

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Publication:6179753
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DOI10.1002/ENV.2423zbMath1525.62229MaRDI QIDQ6179753

Daniela Cocchi, Francesca Bruno, Alessandro Vagheggini

Publication date: 18 December 2023

Published in: Environmetrics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11585/590120


zbMATH Keywords

finite populations design-based inferencefinite populations model-based inferenceindividual spatial prediction


Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)





Cites Work

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  • Model assisted survey sampling
  • Prediction theory for finite populations
  • Interpolation of spatial data. Some theory for kriging
  • An extension of the Horvitz-Thompson theorem to point sampling from a continuous universe
  • Bayesian Geostatistical Design
  • Some results on generalized difference estimation and generalized regression estimation for finite populations
  • Past, Present, and Future of Statistical Science
  • Model‐Assisted Estimation of a Spatial Population Mean
  • Geostatistics for Environmental Scientists
  • To Model or Not To Model? Competing Modes of Inference for Finite Population Sampling
  • Model-free estimation from spatial samples: a reappraisal of classical sampling theory




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