Journal article

Recursive residuals for linear mixed models

A Bani-Mustafa, KM Matawie, CF Finch, A Al-Nasser, E Ciavolino

Quality & Quantity | Published : 2019

Abstract

This paper presents and extends the concept of recursive residuals and their estimation to an important class of statistical models, Linear Mixed Models (LMM). Recurrence formulae are developed and recursive residuals are defined. Recursive computable expressions are also developed for the model’s likelihood, together with its derivative and information matrix. The theoretical framework for developing recursive residuals and their estimation for LMM varies with the estimation method used, such as the fitting-of-constants or the Best Linear Unbiased Predictor method. These methods are illustrated through application to an LMM example drawn from a published study. Model fit is assessed through..

View full abstract

University of Melbourne Researchers

Grants

Citation metrics