Trimmed Spatio-Temporal Variogram Estimator

  1. García-Pérez, Alfonso
Libro:
Building Bridges between Soft and Statistical Methodologies for Data Science

ISSN: 2194-5357 2194-5365

ISBN: 9783031155086 9783031155093

Año de publicación: 2022

Páginas: 174-179

Tipo: Capítulo de Libro

DOI: 10.1007/978-3-031-15509-3_23 GOOGLE SCHOLAR lock_openAcceso abierto editor

Referencias bibliográficas

  • Cressie, N.A.C.: Statistics for Spatial Data. Wiley, New York (1993)
  • García-Pérez, A.: A von Mises approximation to the small sample distribution of the trimmed mean. Metrika 79(4), 369–388 (2016)
  • García-Pérez, A.: Saddlepoint approximations for the distribution of some robust estimators of the variogram. Metrika 83, 69–91 (2020)
  • García-Pérez, A.: New robust cross-variogram estimators and approximations for their distributions based on saddlepoint techniques. Mathematics 9, 762 (2021)
  • García-Pérez, A.: Variogram model selection. In: Balakrishnan, N., Gil, M.A., Martin, N., Morales, D., Pardo, M.C. (eds.) Trends in Mathematical, Information and Data Sciences, Studies in Systems, Decision and Control, vol. 445. Springer, Heidelberg (2022a). https://doi.org/10.1007/978-3-031-04137-2_3
  • García-Pérez, A.: On robustness for spatio-temporal data. Mathematics 10, 1785 (2022)
  • Huber, P.J., Ronchetti, E.M.: Robust Statistics, 2nd edn. Wiley, New York (2009)
  • Varouchakis, E.A., Hristopulos, D.T.: Comparison of spatiotemporal variogram functions based on a sparse dataset of groundwater level variations. Spat. Stat. 34, 1–18 (2019)
  • von Mises, R.: On the asymptotic distribution of differentiable statistical functions. Ann. Math. Stat. 18, 309–348 (1947)
  • Wikle, C.K., Zammit-Mangion, A., Cressie, N.: Spatio-Temporal Statistics with R. Chapman & Hall/CRC, New York (2019)