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|Type:||Artigo de periódico|
|Title:||On a variance stabilizing model and its application to genomic data|
|Abstract:||In this paper, we propose a model based on a class of symmetric distributions, which avoids the transformation of data, stabilizes the variance of the observations, and provides robust estimation of parameters and high flexibility for modeling different types of data. Probabilistic and statistical aspects of this new model are developed throughout the article, which include mathematical properties, estimation of parameters and inference. The obtained results are illustrated by means of real genomic data.|
Johnson system distributions
normal scale mixture distributions
|Editor:||Taylor & Francis Ltd|
|Citation:||Journal Of Applied Statistics. Taylor & Francis Ltd, v. 40, n. 11, n. 2354, n. 2371, 2013.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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