activity
20082015
most citedImproved testing inference in mixed linear models

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

collaborators

5 papers

math.ST2015

Improved hypothesis testing in a general multivariate elliptical model

T. F. N. Melo, S. L. P. Ferrari, A. G. Patriota

This paper investigates improved testing inferences under a general multivariate elliptical regression model. The model is very flexible in terms of the specification of the mean v…

math.ST2015

Improved estimation in a general multivariate elliptical model

Tatiane F. N. Melo, Silvia L. P. Ferrari, Alexandre G. Patriota

The problem of reducing the bias of maximum likelihood estimator in a general multivariate elliptical regression model is considered. The model is very flexible and allows the mean…

math.ST2012

Modified likelihood ratio tests in heteroskedastic multivariate regression models with measurement error

Tatiane F. N. Melo, Silvia L. P. Ferrari, Alexandre G. Patriota

In this paper, we develop modified versions of the likelihood ratio test for multivariate heteroskedastic errors-in-variables regression models. The error terms are allowed to foll…

math.ST2011

Adjusted likelihood inference in an elliptical multivariate errors-in-variables model

Tatiane F. N. Melo, Silvia L. P. Ferrari

In this paper we obtain an adjusted version of the likelihood ratio test for errors-in-variables multivariate linear regression models. The error terms are allowed to follow a mult…

stat.ME2008★ 15 cited

Improved testing inference in mixed linear models

Tatiane F. N. Melo, Silvia L. P. Ferrari, Francisco Cribari-Neto

Mixed linear models are commonly used in repeated measures studies. They account for the dependence amongst observations obtained from the same experimental unit. Oftentimes, the n…