Inference Based on New Pareto-Type Records With Applications to Precipitation and Covid-19 Data
المؤلف | Nik, Ali Saadati |
المؤلف | Asgharzadeh, Akbar |
المؤلف | Baklizi, Ayman |
تاريخ الإتاحة | 2023-11-06T08:19:07Z |
تاريخ النشر | 2023-01-01 |
اسم المنشور | Statistics, Optimization and Information Computing |
المعرّف | http://dx.doi.org/10.19139/soic-2310-5070-1591 |
الاقتباس | 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. |
الرقم المعياري الدولي للكتاب | 2311004X |
الملخص | 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 |
راعي المشروع | We are grateful to the editor and reviewer for their valuable comments and suggestions in revising this paper |
اللغة | en |
الناشر | International Academic Press |
الموضوع | Estimation Pareto distribution Prediction Records Simulation |
النوع | Article |
الصفحات | 243-257 |
رقم العدد | 2 |
رقم المجلد | 11 |
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