SIMULTANEOUS CONFIDENCE INTERVALS FOR VARIANCE COMPONENTS IN TWO-WAY BALANCED CROSSED CLASSIFICATION RANDOM EFFECTS MODEL WITH INTERACTION

Authors

  • Hardeo Sahai Laboratorio de Investigación y Asesoría Estadística, LINAE. Facultad de Estadística e Informática, Universidad Veracruzana.
  • Mario Miguel Ojeda Department of Mathematical and Physical Sciences, College of Arts and Sciences´ University of Nizwa
  • Fernando Velasco Dirección de Planeación Institucional, Universidad Veracruzana

Keywords:

Statistical modeling, Estimation, Mixed linear models, Normality and independence assumptions

Abstract

In this work simultaneous confidence intervals for the variance components in the two-way balanced crossed random effects model with interaction have been derived under the usual assumptions of normality and independence of random effects. The intervals are conservative in the sense that the true confidence coefficient is as large as preassigned value. The formulas are illustrated using published data with SAS outputs.

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Published

2023-06-08

How to Cite

Sahai, H., Miguel Ojeda, M., & Velasco, F. (2023). SIMULTANEOUS CONFIDENCE INTERVALS FOR VARIANCE COMPONENTS IN TWO-WAY BALANCED CROSSED CLASSIFICATION RANDOM EFFECTS MODEL WITH INTERACTION. Investigación Operacional, 30(3). Retrieved from https://revistas.uh.cu/invoperacional/article/view/6231

Issue

Vol. 30 No. 3 (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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