Abstract
We propose a new generator of continuous distributions with one extra positive parameter called the odd Lindley-G family. Some special cases are presented. The new density function can be expressed as a linear combination of exponentiated densities based on the same baseline distribution. Various structural properties of the new family, which hold for any baseline model, are derived including explicit expressions for the quantile function, ordinary and incomplete moments, generating function, Rényi entropy, reliability, order statistics and their moments and k upper record values. We provide a Monte Carlo simulation study to evaluate the maximum likelihood estimates. We discuss estimation of the model parameters by maximum likelihood and provide an application to a real data set.
Author supplied keywords
Cite
CITATION STYLE
Gomes-Silva, F., Percontini, A., de Brito, E., Ramos, M. W., Venâncio, R., & Cordeiro, G. M. (2017). The odd Lindley-G family of distributions. Austrian Journal of Statistics, 46(1), 65–87. https://doi.org/10.17713/ajs.v46i1.222
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.