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Type: Artigo de periódico
Title: The Sinh-normal/independent Nonlinear Regression Model
Author: Vilca F.
Zeller C.B.
Cordeiro G.M.
Abstract: The normal/independent family of distributions is an attractive class of symmetric heavy-tailed density functions. They have a nice hierarchical representation to make inferences easily. We propose the Sinh-normal/independent distribution which extends the Sinh-normal (SN) distribution [23]. We discuss some of its properties and propose the Sinh-normal/independent nonlinear regression model based on a similar setup of Lemonte and Cordeiro [18], who applied the Birnbaum–Saunders distribution. We develop an EM-algorithm for maximum likelihood estimation of the model parameters. In order to examine the robustness of this flexible class against outlying observations, we perform a simulation study and analyze a real data set to illustrate the usefulness of the new model.
Editor: Taylor and Francis Ltd.
Rights: fechado
Identifier DOI: 10.1080/02664763.2015.1005059
Date Issue: 2015
Appears in Collections:Unicamp - Artigos e Outros Documentos

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