Research Article

A New Kumaraswamy Class of Generalized Distributions with Applications to Exponential Model.

Volume: 2 Number: 2 December 27, 2021
TR EN

A New Kumaraswamy Class of Generalized Distributions with Applications to Exponential Model.

Abstract

In this paper, a new class of generalized distributions, so-called the alpha power Kumaraswamy (AK) class, is derived, three important classes of distributions are nested by the AK class. Some mathematical properties are studied and a parameters estimation method using maximum likelihood (MLE) is obtained. A simulation study using bootstrapping approach is performed to study the estimators behavior of the alpha power Kumaraswamyexponential (AKE) distribution. A real data set is investigated to illustrate the flexibility of the AKE distribution.

Keywords

References

  1. [1] Mahdavi, A. & Kundu, D. (2017). A new method for generating distributions with an application to exponential distribution. Communications in Statistics-Theory and Method, 46, 6543-6557.
  2. [2] Ahmed, M.A. (2020). On the alpha power Kumaraswamy distribution: Properties, simulation and application. Revista Colombiana de Estadística, 43, 285-313.
  3. [3] Wahed, A.S. (2006). A general method of constructing extended families of distributions from an existing continuous class. Journal of Probability and Statistical Science, 4, 165-177.
  4. [4] Kumaraswamy, P. (1980). A generalized probability density function for double- bounded random-processes. Journal of Hydrology, 46, 79-88.
  5. [5] Cordeiro, G.M., & de Castro, M. (2011). A new family of generalized distributions. Journal of Statistical Computation & Simulation, 81, 883-898.
  6. [6] Pescim, R.R., Cordeiro, G.M., Demétrio, C.G., Ortega, E.M. & Nadarajah, S. (2012). The new class of Kummer beta generalized distributions. SORT-Statistics and Operations Research Transactions, 153-180.
  7. [7] McDonald, J.B. (1984). Some generalized functions for the size distribution of income. Econometrica, 52, 647-664.
  8. [8] Alexander, C, Cordeiro, G.M., Ortega, E.M.M. & Sarabia J.M. (2012). Generalized beta-generated distributions. Comput Stat Data Anal., 56, 1880-1897.

Details

Primary Language

English

Subjects

Statistics

Journal Section

Research Article

Publication Date

December 27, 2021

Submission Date

August 6, 2021

Acceptance Date

October 6, 2021

Published in Issue

Year 2021 Volume: 2 Number: 2

APA
Ahmed, M. (2021). A New Kumaraswamy Class of Generalized Distributions with Applications to Exponential Model. Journal of Statistics and Applied Sciences, 2(2), 29-47. https://doi.org/10.52693/jsas.979832
AMA
1.Ahmed M. A New Kumaraswamy Class of Generalized Distributions with Applications to Exponential Model. JSAS. 2021;2(2):29-47. doi:10.52693/jsas.979832
Chicago
Ahmed, Mohamed. 2021. “A New Kumaraswamy Class of Generalized Distributions With Applications to Exponential Model”. Journal of Statistics and Applied Sciences 2 (2): 29-47. https://doi.org/10.52693/jsas.979832.
EndNote
Ahmed M (December 1, 2021) A New Kumaraswamy Class of Generalized Distributions with Applications to Exponential Model. Journal of Statistics and Applied Sciences 2 2 29–47.
IEEE
[1]M. Ahmed, “A New Kumaraswamy Class of Generalized Distributions with Applications to Exponential Model”., JSAS, vol. 2, no. 2, pp. 29–47, Dec. 2021, doi: 10.52693/jsas.979832.
ISNAD
Ahmed, Mohamed. “A New Kumaraswamy Class of Generalized Distributions With Applications to Exponential Model”. Journal of Statistics and Applied Sciences 2/2 (December 1, 2021): 29-47. https://doi.org/10.52693/jsas.979832.
JAMA
1.Ahmed M. A New Kumaraswamy Class of Generalized Distributions with Applications to Exponential Model. JSAS. 2021;2:29–47.
MLA
Ahmed, Mohamed. “A New Kumaraswamy Class of Generalized Distributions With Applications to Exponential Model”. Journal of Statistics and Applied Sciences, vol. 2, no. 2, Dec. 2021, pp. 29-47, doi:10.52693/jsas.979832.
Vancouver
1.Mohamed Ahmed. A New Kumaraswamy Class of Generalized Distributions with Applications to Exponential Model. JSAS. 2021 Dec. 1;2(2):29-47. doi:10.52693/jsas.979832