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Multivariate measurement error models based on Student-t distribution under censored responses

Multivariate measurement error models based on Student-t distribution under censored responses

Larissa A. Matos, Luis M. Castro, Celso R.B. Cabral, Víctor H. Lachos

ARTIGO

Inglês

Agradecimentos: The authors are grateful to the Editor, Associate Editor and the referees for their helpful comments on an earlier version of this paper

Measurement error models constitute a wide class of models that include linear and nonlinear regression models. They are very useful to model many real-life phenomena, particularly in the medical and biological areas. The great advantage of these models i

FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP

2018/05013-7; 2011/22063-9; 2015/05385-3

CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ

447964/2014-3, 305054/2011-2

FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DO AMAZONAS - FAPEAM

2015/20922-5

FUNDAÇÃO CARLOS CHAGAS FILHO DE AMPARO À PESQUISA DO ESTADO DO RIO DE JANEIRO - FAPERJ

fechado

Multivariate measurement error models based on Student-t distribution under censored responses

Larissa A. Matos, Luis M. Castro, Celso R.B. Cabral, Víctor H. Lachos

										

Multivariate measurement error models based on Student-t distribution under censored responses

Larissa A. Matos, Luis M. Castro, Celso R.B. Cabral, Víctor H. Lachos

    Fontes

    Statistics: a journal of theoretical and applied statistics (Fonte avulsa)