Metodología para la imputación de datos faltantes en Metereología


Authors

  • Jorge Andrés Urrutia
  • Reiner Palomino
  • Hever Darío Salazar

DOI:

https://doi.org/10.22517/23447214.247

Abstract

El artículo presenta la metodología que se debe seguir para la imputación de datos en series de precipitación y/o temperatura. El procedimiento consiste en hacer uso de correlaciones parciales, modelos de regresión, ajustes de los datos por medio del método de doble masa y verificación de la tendencia a través del el test de Kendal. Se pudo evaluar que para un faltante de datos de 20% esta metodología resulta apropiada, sin embargo, para faltantes de más de 20% se recomienda usar los  modelos AMI bivariada para la imputación de los mismos

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Published

2010-11-15

How to Cite

Urrutia, J. A., Palomino, R., & Salazar, H. D. (2010). Metodología para la imputación de datos faltantes en Metereología. Scientia Et Technica, 3(46), 44–49. https://doi.org/10.22517/23447214.247

Issue

Vol. 3 No. 46 (2010)

Section

Industrial

License

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