most citedConditional Inference for Multivariate Generalised Linear Mixed Models

4 citations · 15 across the 5 of their papers we have counts for

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5 papers

stat.ME20213 cited

Multivariate Generalised Linear Mixed Models With Graphical Latent Covariance Structure

Jeanett S. Pelck, Rodrigo Labouriau

This paper introduces a method for studying the correlation structure of a range of responses modelled by a multivariate generalised linear mixed model (MGLMM). The methodology req…

stat.ME20214 cited

Conditional Inference for Multivariate Generalised Linear Mixed Models

Jeanett S. Pelck, Rodrigo Labouriau

We propose a method for inference in generalised linear mixed models (GLMMs) and several extensions of these models. First, we extend the GLMM by allowing the distribution of the r…

stat.AP20212 cited

Multivariate Methods for Detection of Rubbery Rot in Storage Apples by Monitoring Volatile Organic Compounds: An Example of Multivariate Generalised Mixed Models

J. S. Pelck, H. Holthusen, M. Edelenbos +2

This article is a case study illustrating the use of a multivariate statistical method for screening potential chemical markers for early detection of post-harvest disease in stora…

stat.AP20212 cited

A Multivariate Methodology for Analysing Students' Performance Using Register Data

Jeanett S. Pelck, Rafael Pimentel Maia, Hildete P. Pinheiro +1

We present a new method for jointly modelling the students' results in the university's admission exams and their performance in subsequent courses at the university. The case cons…

stat.AP20204 cited

Using Multivariate Generalised Linear Mixed Models for Studying Roots Development: An Example Based on Minirhizotron Observations

Jeanett S. Pelck, Rodrigo Labouriau

The characterisation of the spatial and temporal distribution of the root system in a cultivated field depends on the soil volume occupied by the root systems (the scatter), and th…