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

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.

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, (386) 1-10. https://doi.org/10.1016/j.jenvman.2025.125800.

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

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

Benatmane, C., Zeghdoudi, H. and Pakyari, R. (2024). Modified Poisson Process: Properties and Application in Ruin Model. Lobachevskii Journal of Mathematics, 45(9), 4050–4059. https://doi.org/10.1134/S1995080224604806. 

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, 52(7), 3223-3232, doi:10.1080/03610918.2021.1930052. 

Pakyari, R and Al-Hamad, O. (2023). On Testing Exponentiality under Type I Censoring. Frontiers in applied mathematics and statistics, 9, 1-12. doi:10.3389/fams.2023.1113477. 

Pakyari, R and Baklizi, A. (2022). On Goodness-of-Fit Testing for Burr Type X Distribution under Progressively Type-II Censoring. Computational Statistics, 37, 2249-2265, doi.org/10.1007/s00180-022-01197-5.  

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

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.

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, 46, 2998-3009.

Pakyari, R. and Habibi, D. (2016). On Comparison of Survival Curves with Interval Censored Data. Jordan Journal of Mathematics and Statistics, 9, 203-215.

Park, S. and Pakyari, R. (2015). Cumulative Residual Kullback-Leibler Information with the Progressively Type-II Censored Data. Statistics and Probability Letters, 106, 287-294.

Pakyari, R. and Balakrishnan, N. (2013b). Testing Exponentiality Based on Type-I Censored Data. Journal of Statistical Computation and Simulation, 83, 2369-2378.

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, 83, 167-178.

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

Pakyari, R. (2012). Inference for the Geometric Extreme Exponential Distribution under Progressive Type-II Censoring. ISRN Probability and Statistics, 1-15.

Pakyari, R. (2011). Nonparametric mixture analysis of rock crab of the genus Leptograpsus. Journal of Applied Statistics, 38, 581-589.

Pakyari, R. (2010). Discriminating between generalized exponential, geometric extreme exponential and Weibull distributions. Journal of Statistical Computation and Simulation, 80, 1403-1412.

Pakyari, R. (2009). A note on asymptotic behavior of the nonparametric density estimators in multivariate mixtures. Communications in Statistics-Theory and Methods, 38, 1219-1223.

Pakyari, R. (2008). On bagging and estimation in multivariate mixtures. Metodolski Zvezki, Advances in methodology and statistics, 5, 9-18.

Hall, P., Neeman, A., Pakyari, R. and Elmore, R. (2005). Nonparametric inference in multivariate mixtures. Biometrika, 92, 667-678.

CONFERENCE PRESENTATIONS

Pakyari, R. (2018), Testing Goodness-of-Fit based on Type-I censored data, 14^th Iranian Statistics conference, Shahrood, Iran.

Pakyari, R. (2008), Nonparametric methods for density estimation in multivariate mixtures, Applied Statistics International conference, Bled, Slovenia.

Pakyari, R. (2007), On Bagging and estimation in multivariate mixtures, Applied Statistics International conference, Bled, Slovenia.

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, Cochin, India.

Pakyari, R. (2007), Bagging and Subagging in Mixture Models, 38th Annual Iranian Mathematics Conference, Zanjan, Iran.

Pakyari, R. (2006), Nonparametric density estimation in multivariate mixtures, 37th Annual Iranian Mathematics Conference, Tabriz, Iran.

Pakyari, R. (2005), Nonparametric estimation of mixing proportion and component distribution in multivariate mixtures, 25th European Meeting of Statisticians, Oslo, Norway.

Pakyari, R. (1996), Parameter estimation in the Weibull distribution, Third Iranian Statistics Conference, Tehran, Iran.

BOOKS/CHAPTER(S)

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.

Pakyari, R. (2008), Dictionary of Statistics, Arak University Publications (In Persian).