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The Lehmann Type II Teissier Distribution

  • V. Kumaran EMAIL logo and Vishwa Prakash Jha
Published/Copyright: October 7, 2023
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ABSTRACT

In this work, a two-parameter continuous distribution, namely the Lehmann type II Teissier distribution is introduced. Some important properties including the Rényi entropy, Bonferroni curves, Lorenz curves and the exact information matrix of the proposed model are derived. Seven different techniques are being used for the estimation of parameters and a simulation is carried out to observe the maximum likelihood estimates. Interval estimates of the parameters are obtained using exact information matrix and bootstrapping techniques. Finally, to show the practical significance, three datasets related to COVID-19 and rainfall are modeled using the proposed model.

2020 Mathematics Subject Classification: 60E05; 62F10; 62F99

(Communicated by Gejza Wimmer)


Funding statement: The authors would like to thank the editor and the two anonymous reviewers for their informative and helpful comments. Also, the second author is thankful for the Institute scholarship received from the Ministry of Human Resources Development of India and NIT Tiruchirappalli.

Appendix: Algorithm for the simulation

For simulation purposes, the steps below are used to generate N number of samples of size n = n1.

  1. Use SeedRandom[].

  2. Using RandomReal[] generate the uniform random number substitute the uniform random sample of size n1 in the quantile function given in equation (3.11) to obtain random sample for the LII-TD. If the estimated parameters converge then only select the sample.

  3. Continue the step 2 untill get N number of samples.

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Received: 2022-06-20
Accepted: 2022-08-24
Published Online: 2023-10-07

© 2023 Mathematical Institute Slovak Academy of Sciences

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