Sammanfattning

This article derives generalized prediction intervals for random effects in linear random-effects models. For balanced and unbalanced data in two-way layouts, models are considered with and without interaction. Coverage of the proposed generalized prediction intervals was estimated in a simulation study based on an agricultural field experiment. Generalized prediction intervals were compared with prediction intervals based on the restricted maximum likelihood (REML) procedure and the approximate methods of Satterthwaite and Kenward and Roger. The simulation study showed that coverage of generalized prediction intervals was closer to the nominal level 0.95 than coverage of prediction intervals based on the REML procedure.

Nyckelord

generalized prediction intervals; random effects; random models; REML

Publicerad i

Biometrical Journal
2019, Volym: 61, nummer: 5, sidor: 1242-1257
Utgivare: WILEY

SLU författare

• Al-Sarraj, Razaw

  • Institutionen för energi och teknik, Sveriges lantbruksuniversitet
    

• von Brömssen, Claudia

  • Institutionen för energi och teknik, Sveriges lantbruksuniversitet
    

• Forkman, Johannes

  • Institutionen för växtproduktionsekologi, Sveriges lantbruksuniversitet
    
  • Institutionen för energi och teknik, Sveriges lantbruksuniversitet
    

UKÄ forskningsämne

Sannolikhetsteori och statistik


Publikationens identifierare

DOI: https://doi.org/10.1002/bimj.201700255

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/101959