Simplified partially observed quasi-information matrix

Thuan Nguyen, Jiming Jiang

Research output: Contribution to journalArticlepeer-review


We propose a simplified version of the partially observed quasi-information matrix (Poquim) method for inference about non-Gaussian linear mixed models and show its computational advantage over the original method. We illustrate the difference, and compare performance of the simplified version with Poquim as well as the normality-based method in simulation studies. An example of real-data analysis is considered.

Original languageEnglish (US)
Pages (from-to)171-189
Number of pages19
JournalComputational Statistics
Issue number1
StatePublished - Mar 2023


  • Asymptotic covariance matrix
  • Fisher information
  • Non-Gaussian linear mixed model
  • Quasi-likelihood
  • REML
  • Spoquim

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Computational Mathematics


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