Inference Based on New Pareto-Type Records With Applications to Precipitation and Covid-19 Data
| Author | Nik, Ali Saadati |
| Author | Asgharzadeh, Akbar |
| Author | Baklizi, Ayman |
| Available date | 2023-11-06T08:19:07Z |
| Publication Date | 2023-01-01 |
| Publication Name | Statistics, Optimization and Information Computing |
| Identifier | http://dx.doi.org/10.19139/soic-2310-5070-1591 |
| Citation | Nik, A. S., Asgharzadeh, A., & Baklizi, A. (2023). Inference Based on New Pareto-Type Records With Applications to Precipitation and Covid-19 Data. Statistics, Optimization & Information Computing, 11(2), 243-257. |
| ISSN | 2311004X |
| Abstract | We consider estimation and prediction of future records based on observed records from the new Pareto type distribution proposed recently by Bourguignon et al. (2016), ¡°M. Bourguignon, H. Saulo, R. N. Fernandez, A new Pareto-type distribution with applications in reliability and income data, Physica A, 457 (2016), 166-175¡±. We first obtain the maximum likelihood and Bayesian estimators of the model parameters. We then derive several point predictors for a future record on the basis of the first n observed records. Two real data sets on precipitation and Covid 19 are analysed and a Monte Carlo simulation study has been performed to evaluate the statistical performance of point predictors presented in this paper |
| Sponsor | We are grateful to the editor and reviewer for their valuable comments and suggestions in revising this paper |
| Language | en |
| Publisher | International Academic Press |
| Subject | Estimation Pareto distribution Prediction Records Simulation |
| Type | Article |
| Pagination | 243-257 |
| Issue Number | 2 |
| Volume Number | 11 |
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COVID-19 Research [838 items ]
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Mathematics, Statistics & Physics [742 items ]