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Optimal random sampling designs in random field sampling

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  • Rodríguez, José E.
  • Ávila, Fernando

Abstract

A Horvitz-Thompson predictor is proposed for spatial sampling when the characteristic of interest is modeled as a random field. Optimal sampling designs are deduced under this context. Fixed and variable sample size are considered.

Suggested Citation

  • Rodríguez, José E. & Ávila, Fernando, 2003. "Optimal random sampling designs in random field sampling," DES - Working Papers. Statistics and Econometrics. WS ws035211, Universidad Carlos III de Madrid. Departamento de Estadística.
    • Handle: RePEc:cte:wsrepe:ws035211
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    File URL: https://e-archivo.uc3m.es/bitstream/handle/10016/199/ws035211.pdf?sequence=1
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    References listed on IDEAS

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    1. Cordy, Clifford B., 1993. "An extension of the Horvitz--Thompson theorem to point sampling from a continuous universe," Statistics & Probability Letters, Elsevier, vol. 18(5), pages 353-362, December.
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