The odd log-logistic logarithmic generated family of distributions with applications in different areas

Morad Alizadeh, S. M. T. K. MirMostafee, Edwin M. M. Ortega (), Thiago G. Ramires and Gauss M. Cordeiro
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Morad Alizadeh: Persian Gulf university
S. M. T. K. MirMostafee: University of Mazandaran
Edwin M. M. Ortega: Universidade de São Paulo
Thiago G. Ramires: Universidade de São Paulo
Gauss M. Cordeiro: Universidade Federal de Pernambuco

Journal of Statistical Distributions and Applications, 2017, vol. 4, issue 1, 1-25

Abstract: Abstract We introduce and study general mathematical properties of a new generator of continuous distributions with three extra parameters called the odd log-logistic logarithmic generated family of distributions. We present some special models and investigate the asymptotes and shapes. The new density function can be expressed as a linear combination of exponentiated densities based on the same baseline distribution. Explicit expressions for the ordinary and incomplete moments, quantile and generating functions, Shannon and Rényi entropies and order statistics, which hold for any baseline model, are determined. We discuss the estimation of the model parameters by maximum likelihood. Further, we introduce the new family in long-term survival models. We illustrate the potentiality of the proposed models by means of four applications to real data.

Keywords: Generated family; Maximum likelihood; Moment; Order statistic; Quantile function; Survival analysis; 97K50; 62N01; 62N02 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1186/s40488-017-0062-7

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