{"id":14,"date":"2020-01-20T10:49:44","date_gmt":"2020-01-20T10:49:44","guid":{"rendered":"http:\/\/qufaculty.qu.edu.qa\/rpakyari\/?page_id=14"},"modified":"2026-01-14T12:49:29","modified_gmt":"2026-01-14T12:49:29","slug":"resume","status":"publish","type":"page","link":"http:\/\/qufaculty.qu.edu.qa\/rpakyari\/resume\/","title":{"rendered":"Selected Publications"},"content":{"rendered":"

Kohansal, A., and Pakyari, R. (2026). Reliability assessment of heterogeneous Dagum-distributed multi-component stress-strength systems under adaptive hybrid progressive censoring. Journal of Computational and Applied Mathematics, <\/em>479<\/strong>, 117238.<\/em> https:\/\/doi.org\/10.1016\/j.cam.2025.117238<\/a>.<\/p>\n

Saaidia. N., Pakyari, R. and Zeghdoudi, H. (2026). The Q-Lindley Distribution: Goodness-of-Fit Tests, Modeling, Inference, and Applications. Journal of Statistical Theory and Applications<\/em>, 25<\/strong>, 6. <\/em>https:\/\/doi.org\/10.1007\/s44199-025-00148-5<\/a><\/p>\n

Pakyari, R. and Zeghdoudi, H. (2025). Entropy-Based Characterization, Astronomical Applications, and Bayesian Hierarchical Modeling of the New X-Lindley Distribution. Arabian Journal of Mathematics. <\/em>https:\/\/doi.org\/10.1007\/s40065-025-00588-y<\/a>.<\/p>\n

Kohansal, A., Bakouch, H. \u00a0and Pakyari, R. (2025). Reliability inference for multicomponent stress-strength systems with heterogeneous Lomax-distributed components under progressive censoring. Scientific Reports, <\/em>(15)<\/strong> 1-17.<\/em> https:\/\/doi.org\/10.1038\/s41598-025-00846-1<\/a>.<\/p>\n

Badwan, R. and Pakyari, R. (2025). Analyzing Competing Risks with Progressively Type-II Censored Data in Dagum Distributions. Axioms, 14(7), 508. https:\/\/doi.org\/10.3390\/axioms14070508.<\/p>\n

Soubra, L., Aref, F., Pakyari, R. and Al- Jabiry, H. (2025). Determinants of Single-Use Plastic Bottled Water Consumption Among University Students: A Cross-Sectional Study. Journal of Environmental Management<\/em>, (386)<\/strong> 1-10. https:\/\/doi.org\/10.1016\/j.jenvman.2025.125800<\/a>.<\/p>\n

Haddari, A., Zeghdoudi, H. and Pakyari, R. (2025). A new two-parameter family of discrete distributions. Heliyon, 11(3), <\/em>1-11. https:\/\/doi.org\/10.1016\/j.heliyon.2024.e41459<\/a>.<\/p>\n

Chesneau, C., Pakyari, R., Kohansal, A. and Bakouch H. (2024). Estimation and prediction under different schemes for a flexible symmetric distribution with applications.\u00a0 Journal of Mathematics, 1-18. https:\/\/doi.org\/10.1155\/2024\/6517277<\/a>.<\/em><\/p>\n

Benatmane, C., Zeghdoudi, H. and Pakyari, R. (2024). Modified Poisson Process: Properties and Application in Ruin Model. Lobachevskii Journal of Mathematics, 45(9), 4050\u20134059. https:\/\/doi.org\/10.1134\/S1995080224604806<\/a>.\u00a0<\/em><\/p>\n

Pakyari, R (2023). Goodness-of-fit Testing Based on Gini Index of Spacings for Progressive Type-II Censored Data. Communications in Statistics-Simulation and Computation<\/em>, <\/span>52(7)<\/strong>, 3223-3232,<\/span> doi:10.1080\/03610918.2021.1930052<\/a>.\u00a0<\/span><\/p>\n

Pakyari, R and Al-Hamad, O. (2023). On Testing Exponentiality under Type I Censoring. Frontiers in applied mathematics and statistics<\/i>, 9<\/b>, 1-12.<\/i> doi:10.3389\/fams.2023.1113477<\/span>.\u00a0<\/span><\/p>\n

Pakyari, R and Baklizi, A. (2022). On Goodness-of-Fit Testing for Burr Type X Distribution under Progressively Type-II Censoring. Computational Statistics, 37<\/strong>, 2249-2265, <\/i><\/span>doi.org\/10.1007\/s00180-022-01197-5.\u00a0<\/a>\u00a0<\/span><\/span><\/p>\n

Pakyari, R (2021). Inference on P[Y < X] for Geometric Extreme Exponential Distribution. Mathematics and Statistics<\/em>, 9(4)<\/strong>, 527-534.<\/p>\n

Ghafori, S., HabibiRad, A., Yousefzadeh, F. and Pakyari, R (2021). Non-Bayesian Estimation and Prediction under Interval Censoring. To appear in Journal of Statistical Research of Iran<\/em>.<\/p>\n

Pakyari, R. and Resalati Nia, K. (2017). Testing Goodness-of-fit for Some Lifetime Distributions with Conventional Type-I Censoring. Communications in Statistics-Simulation and Computation<\/em>, 46<\/strong>, 2998-3009.<\/p>\n

Pakyari, R. and Habibi, D. (2016). On Comparison of Survival Curves with Interval Censored Data. Jordan Journal of Mathematics and Statistics<\/em>, 9<\/strong>, 203-215.<\/p>\n

Park, S. and Pakyari, R. (2015). Cumulative Residual Kullback-Leibler Information with the Progressively Type-II Censored Data. Statistics and Probability Letters<\/em>, 106<\/strong>, 287-294.<\/p>\n

Pakyari, R. and Balakrishnan, N. (2013b). Testing Exponentiality Based on Type-I Censored Data. Journal of Statistical Computation and Simulation<\/em>, 83<\/strong>, 2369-2378.<\/p>\n

Pakyari, R. and Balakrishnan, N. (2013a). Goodness-of-Fit Tests for Progressively Type-II Censored Data from Location-Scale Distributions. Journal of Statistical Computation and Simulation<\/em>, 83<\/strong>, 167-178.<\/p>\n

Pakyari, R. and Balakrishnan, N. (2012). A General Purpose Approximate Goodness-of-fit Test for Progressively Type-II Censored Data. IEEE Transactions on Reliability<\/em>, 61<\/strong>, 238-244.<\/p>\n

Pakyari, R. (2012). Inference for the Geometric Extreme Exponential Distribution under Progressive Type-II Censoring. ISRN Probability and Statistics<\/em>, 1-15.<\/p>\n

Pakyari, R. (2011). Nonparametric mixture analysis of rock crab of the genus Leptograpsus. Journal of Applied Statistics<\/em>, 38<\/strong>, 581-589.<\/p>\n

Pakyari, R. (2010). Discriminating between generalized exponential, geometric extreme exponential and Weibull distributions. Journal of Statistical Computation and Simulation, <\/em>80<\/strong>, 1403-1412.<\/p>\n

Pakyari, R. (2009). A note on asymptotic behavior of the nonparametric density estimators in multivariate mixtures. Communications in Statistics-Theory and Methods<\/em>, 38<\/strong>, 1219-1223.<\/p>\n

Pakyari, R. (2008). On bagging and estimation in multivariate mixtures. Metodolski Zvezki, Advances in methodology and statistics<\/em>, 5<\/strong>, 9-18.<\/p>\n

Hall, P., Neeman, A., Pakyari, R. and Elmore, R. (2005). Nonparametric inference in multivariate mixtures. Biometrika<\/em>, 92<\/strong>, 667-678.<\/p>\n

CONFERENCE PRESENTATIONS<\/em><\/strong><\/p>\n

Pakyari, R. (2018), Testing Goodness-of-Fit based on Type-I censored data, 14th<\/sup> Iranian Statistics conference<\/em>, Shahrood, Iran.<\/p>\n

Pakyari, R. (2008), Nonparametric methods for density estimation in multivariate mixtures, Applied Statistics International conference<\/em>, Bled, Slovenia.<\/p>\n

Pakyari, R. (2007), On Bagging and estimation in multivariate mixtures, Applied Statistics International conference<\/em>, Bled, Slovenia.<\/p>\n

Pakyari, R. (2007), Nonparametric estimation of the component density functions in multivariate mixtures, Joint Statistical meeting and international conference on Statistics, Probability and related areas<\/em>, Cochin, India.<\/p>\n

Pakyari, R. (2007), Bagging and Subagging in Mixture Models, 38th Annual Iranian Mathematics Conference<\/em>, Zanjan, Iran.<\/p>\n

Pakyari, R. (2006), Nonparametric density estimation in multivariate mixtures, 37th Annual Iranian Mathematics Conference<\/em>, Tabriz, Iran.<\/p>\n

Pakyari, R. (2005), Nonparametric estimation of mixing proportion and component distribution in multivariate mixtures, 25th European Meeting of Statisticians<\/em>, Oslo, Norway.<\/p>\n

Pakyari, R. (1996), Parameter estimation in the Weibull distribution<\/em>, Third Iranian Statistics Conference, Tehran, Iran.<\/p>\n

BOOKS\/CHAPTER(S)<\/em><\/strong><\/p>\n

Pakyari, R. and Gardner, H. (2008), An Introduction to R for human computer interaction and usability engineering, Supporting document for courses COMP6390 and COMP3900 in the Australian National University.<\/em><\/p>\n

Pakyari, R. (2008), Dictionary of Statistics, Arak University Publications (In Persian<\/em>).<\/p>\n

\u00a0<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

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