On a variance stabilizing model and its application to genomic data

Filidor Vilca, Mariana Rodrigues-Motta and V�ctor Leiva

Journal of Applied Statistics, 2013, vol. 40, issue 11, 2354-2371

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.

Date: 2013
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Citations: View citations in EconPapers (2)

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DOI: 10.1080/02664763.2013.811480

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