| Statistics, Optimization and Information Computing | |
| Inference Based on New Pareto-Type Records With Applications to Precipitation and Covid-19 Data | |
| article | |
| A. SaadatiNik1  A.Asgharzadeh1  A.Baklizi2  | |
| [1] Department of Statistics, University of Mazandaran;Department of Mathematics and Physics, Qatar University | |
| 关键词: Records; Pareto distribution; Estimation; Prediction; Simulation; | |
| DOI : 10.19139/soic-2310-5070-1591 | |
| 来源: Istituto Superiore di Sanita | |
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【 摘 要 】
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 derived several point predictors for a future record on the basis of the first n 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.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202307110001941ZK.pdf | 295KB |
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