This paper reviews the literature on Bartlett and Bartlett-type corrections. It focuses on the
corrections to the likelihood ratio, score and Wald test statistics. Three different Bartlett-type …

A área de modelagem estatıstica de regressao recebeu um grande impulso desde a criaçao
dos modelos lineares generalizados (MLGs) no inıcio da década de 1970. O crescente …

Adopting a broad view of statistical inference, the text concentrates on what various
techniques do, with mathematical proof kept to a minimum. The approach is rigorous but …

Statistics for Environmental Biology and Toxicology presents and illustrates statistical
methods appropriate for the analysis of environmental data obtained in biological or …

The X‐chromosome is often excluded from genome‐wide association studies because of
analytical challenges. Some of the problems, such as the random, skewed, or no X …

The sandwich variance estimator of generalized estimating equations (GEE) may not
perform well when the number of independent clusters is small. This could jeopardize the …

This article introduces a semiparametric extension of generalized linear models that is
based on a full probability model, but does not require specification of an error distribution or …

This paper develops finite-sample corrections for score tests in generalised linear models
when the dispersion parameter is unknown, thus generalising the results of Cordeiro, Ferrari …

Insect natural enemies (predators and parasitoids) provide important ecosystem services by
suppressing populations of insect pests in many agricultural crops. However, the role of …

The simplex regression model is tailored to response variables that assume values in the
standard unit interval, such as rates and proportions. The estimation of the parameters that …