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Efficiency evaluation of MEV spatial sampling strategies: a scenario analysis

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  • Lafratta, Giovanni

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  • Lafratta, Giovanni, 2006. "Efficiency evaluation of MEV spatial sampling strategies: a scenario analysis," Computational Statistics & Data Analysis, Elsevier, vol. 50(3), pages 878-890, February.
    • Handle: RePEc:eee:csdana:v:50:y:2006:i:3:p:878-890
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    References listed on IDEAS

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    1. Giuseppe Arbia & Giovanni Lafratta, 2002. "Anisotropic spatial sampling designs for urban pollution," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 51(2), pages 223-234, May.
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    Cited by:

    1. Naresh Kumar, 2007. "Spatial Sampling Design for a Demographic and Health Survey," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(5), pages 581-599, December.
    2. Bonneau, Mathieu & Gaba, Sabrina & Peyrard, Nathalie & Sabbadin, Régis, 2014. "Reinforcement learning-based design of sampling policies under cost constraints in Markov random fields: Application to weed map reconstruction," Computational Statistics & Data Analysis, Elsevier, vol. 72(C), pages 30-44.
    3. Arbia, Giuseppe & Lafratta, Giovanni & Simeoni, Carla, 2007. "Spatial sampling plans to monitor the 3-D spatial distribution of extremes in soil pollution surveys," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 4069-4082, May.
    4. Walde, Janette F., 2007. "Valid hypothesis testing in face of spatially dependent data using multi-layer perceptrons and sub-sampling techniques," Computational Statistics & Data Analysis, Elsevier, vol. 51(5), pages 2701-2719, February.

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    5. Naresh Kumar, 2007. "Spatial Sampling Design for a Demographic and Health Survey," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(5), pages 581-599, December.

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