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|Type:||Artigo de periódico|
|Title:||The Sinh-normal/independent Nonlinear Regression Model|
|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 . We discuss some of its properties and propose the Sinh-normal/independent nonlinear regression model based on a similar setup of Lemonte and Cordeiro , 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.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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