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.ME2021★ 3 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.ME2021★ 4 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.AP2021★ 2 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.AP2021★ 2 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.AP2020★ 4 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…