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2022 | 23 | 3 | 167-184

Article title

Poisson area-biased Ailamujia Distribution and its applications in environmental and medical sciences

Content

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Abstracts

EN
In this paper, a new Poisson area-biased Ailamujia distribution has been formulated to analyse count data. It was created by combining two distributions: the Poisson and areabiased Ailamujia distributions, using the compounding technique. Several distributional properties of the formulated distribution were studied. Its ageing characteristics were determined and expressed explicitly. A variety of diagrams were used to demonstrate the characteristics of the probability mass function (pmf) and the cumulative distribution function (cdf). The parameter of the developed model was estimated by employing the maximum likelihood estimation approach. Finally, two data sets were used to demonstrate the effectiveness of the investigated distribution.

Year

Volume

23

Issue

3

Pages

167-184

Physical description

Dates

published
2022

Contributors

author
  • Department of Mathematics, Bhagwant University, Ajmer, Rajasthan, India
  • Department of Mathematics, Bhagwant University, Ajmer, Rajasthan, India
author
  • Department of Mathematical Sciences, Islamic University of Science & Technology, Awantipora, Kashmir
  • Department of Mathematics, Bhagwant University, Ajmer, Rajasthan, India

References

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  • Gerstenkorn, T., (1993). A compound of the generalized gamma distribution with the exponential one. Recherches surles deformations,16(1), pp. 510.
  • Gerstenkorn, T., (1996). A compound of the Polya distribution with beta distribution. Random oper. And Stoch. Equ., 4(2), pp. 103-110.
  • Giovani, C. R., Francisco, L., and Pedro, L. R., (2016). Poisson-Exponential distribution different methods of estimation. Journal of applied statistics, 15(45), pp. 128144.
  • Gupta, R. C., Ong, S. H., (2004). A new generalization of negative binomial distribution. Journal of computational statistics and data analysis, 45, pp. 287300.
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  • Mahmoudi, E., Zakerzadeh H., (2010). Generalized Poisson-Lindley distribution. Communications in statistics theory and methods, 39(10), pp. 17851798.
  • Puig, P., Valero J., (2006). Count Data Distributions, Some Characterizations With Applications. Journal of the American Statistical Association, 101, pp. 332340.
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  • Subhradev, S., (2018). Quasi-Xgamma distribution. Istatistik: journal of the Turkish statistical association, 11(3), pp. 6576.
  • Shanker, R., Shukla, K.K., (2019). A generalization of Poisson-Sujatha distribution and its application to ecology. International journal of biomathematics, 12(2), pp. 6683.
  • Thomas, M., (1949). A generalization of Poisson's binomial limit for use in ecology. Biometrika, 36(2), pp. 1825.
  • Wanbo, L., Shi, D., (2012). A new compounding life distribution: the Weibull-Poisson distribution. Journal of applied statistics, 39(1), pp. 2138.
  • Zamani, H., Ismail, N., (2010). Negative binomial-Lindley distribution and its application. Journal of mathematics and statistics, 1, pp. 49.

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
2108223

YADDA identifier

bwmeta1.element.ojs-doi-10_2478_stattrans-2022-036
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