ESTIMATING THE DIFFERENCE OF MEANS WITH IMPUTATION OF THE MISSING OBSERVATIONS

Authors

  • Carlos N. Bouza Herrera Facultad de Matemática y Computación de la Universidad de La Habana
  • Dante Covarrubias Melgar Universidad Autónoma de Guerrero

Keywords:

unbiasedness, mean squared error, variance, approximated moments

Abstract

We consider the use of a finite population model for estimating the difference of the means of two variables under a
mechanism for missing observations. The information available on the two variables is used for imputing the corresponding missing data. The proposed estimator is characterized by means of the expected squared error. Data from an environmental study are used for illustrating the performance of the estimator.

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Published

2023-06-08

How to Cite

Bouza Herrera, C. N., & Covarrubias Melgar, D. (2023). ESTIMATING THE DIFFERENCE OF MEANS WITH IMPUTATION OF THE MISSING OBSERVATIONS. Investigación Operacional, 30(2). Retrieved from https://revistas.uh.cu/invoperacional/article/view/6245

Issue

Vol. 30 No. 2 (2009): Investigacion Operacional

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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