Diseños de medidas repetidas con errores autocorrelacionados

• Paula Fernández García ^[1] ; Guillermo Vallejo Seco ^[1]
  1. [1] Universidad de Oviedo

     Universidad de Oviedo

     Oviedo, España

     
• Localización: Psicothema, ISSN-e 1886-144X, ISSN 0214-9915, Vol. 2, Nº. 2, 1990, págs. 189-209
• Idioma: español
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• Dialnet Métricas: 2 Citas
• Resumen

  • Los diseños de medidas repetidas han sido tradicionalmente analizados por medio del univario modelo mixto del AVAR, sin embargo, cuando los tratamientos no son presentados en un orden aleatorio la secuencialidad de los registros introduce correlación en los errores del modelo. Bajo la asunción de que la correlación sería¡ puede ser modelada mediante procesos ARMA relativamente simples, este trabajo considera el problema de obtener estimadores eficientes y consistentes. Para concluir se presenta un ejemplo que ilustra el procedimiento descrito.

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