New Properties of the Kumaraswamy Distribution

By Pablo A. Mitnik. 2013

54 citations recorded by the source corpus.

Subfields: Applied Mathematics, Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/8e9e6691fa3abb4449b508d1b7f71cfba4eed25f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Mathematics

1. Guilherme Pumi
2. Fábio Mariano Bayer
3. Sanku Dey
4. D. M. Bayer

In Artificial Intelligence

1. Josmar Mazucheli
2. Guilherme Pumi
3. Fábio Mariano Bayer
4. Sanku Dey
5. D. M. Bayer

In Statistics and Probability

1. Mohammed Zafar Anis
2. Josmar Mazucheli
3. Guilherme Pumi
4. Fábio Mariano Bayer
5. Sanku Dey
6. D. M. Bayer

Citations in the corpus

• Estimation of reliability of multicomponent stress–strength for a Kumaraswamy distribution (2017, background): “Improved point estimation for this distribution has been obtained by Lemonte (2011) while some of its interesting newer properties have been investigated by Mitnik (2013).”
• Kumaraswamy autoregressive moving average models for double bounded environmental data (2017, background): “In fact, the lack of tractable expressions for the mean and variance, given by (1) and (2), respectively, has hindered its utilization for modeling purposes (Lemonte et al., 2013; Mitnik and Baek, 2013).”