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Optimal monitoring network designs

Author

Listed:
  • Caselton, W. F.
  • Zidek, J. V.

Abstract

The selection of a monitoring network is formulated as a decision problem whose solutions would then be optimal. The theory is applied where the underlying field has a multivariate normal probability structure.

Suggested Citation

  • Caselton, W. F. & Zidek, J. V., 1984. "Optimal monitoring network designs," Statistics & Probability Letters, Elsevier, vol. 2(4), pages 223-227, August.
    • Handle: RePEc:eee:stapro:v:2:y:1984:i:4:p:223-227
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    Citations

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    Cited by:

    1. Martha Bohorquez & Ramón Giraldo & Jorge Mateu, 2016. "Optimal sampling for spatial prediction of functional data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 25(1), pages 39-54, March.
    2. Katharina Glock & Anne Meyer, 2020. "Mission Planning for Emergency Rapid Mapping with Drones," Transportation Science, INFORMS, vol. 54(2), pages 534-560, March.
    3. Symeon Christodoulou & Anastasis Gagatsis & Savvas Xanthos & Sofia Kranioti & Agathoklis Agathokleous & Michalis Fragiadakis, 2013. "Entropy-Based Sensor Placement Optimization for Waterloss Detection in Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4443-4468, October.
    4. Yildiz, Anil & Mern, John & Kochenderfer, Mykel J. & Howland, Michael F., 2023. "Towards sequential sensor placements on a wind farm to maximize lifetime energy and profit," Renewable Energy, Elsevier, vol. 216(C).
    5. Marron, J. S. & Nakamura, Miguel & Pérez-Abreu, Víctor, 2003. "Semi-parametric multivariate modelling when the marginals are the same," Journal of Multivariate Analysis, Elsevier, vol. 86(2), pages 310-329, August.
    6. F. J. Alonso & M. C. Bueso & J. M. Angulo, 2016. "Dependence Assessment Based on Generalized Relative Complexity: Application to Sampling Network Design," Methodology and Computing in Applied Probability, Springer, vol. 18(3), pages 921-933, September.
    7. Zhongzhu Chen & Marcia Fampa & Jon Lee, 2023. "On Computing with Some Convex Relaxations for the Maximum-Entropy Sampling Problem," INFORMS Journal on Computing, INFORMS, vol. 35(2), pages 368-385, March.
    8. Bueso, M. C. & Angulo, J. M. & Qian, G. & Alonso, F. J., 1999. "Spatial Sampling Design Based on Stochastic Complexity," Journal of Multivariate Analysis, Elsevier, vol. 71(1), pages 94-110, October.
    9. Francisco Javier Alonso & María del Carmen Bueso & José Miguel Angulo, 2012. "Effect of Data Transformations on Predictive Risk Indicators," Methodology and Computing in Applied Probability, Springer, vol. 14(3), pages 705-716, September.

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