[1] Thoroddsen, S. T., Takehara, K., & Etoh, T. G. (2012). Micro-splashing by drop impacts. Journal of Fluid Mechanics, 706, 560-570
[2] Palacios, J., Hernández, J., Gómez, P., Zanzi, C., & López, J. (2013). Experimental study of splashing patterns and the splashing/deposition threshold in drop impacts onto dry smooth solid surfaces. Experimental Thermal and Fluid Science, 44, 571-582.
[3] Liang, G. Guo,Y. Yang, Y. Zhen, N. & Shen, S, (2013). Spreading and splashing during a single drop impact on an inclined wetted surface. Acta Mechanica, 224, 2993-30.
[4] Planche, M.-P. Khatim, O. Dembinski, L. Bailly, Y. & Coddet, C. (2013). Evaluation of the splats properties and relation with droplets diameters in atomization process using a de laval nozzle. Materials Chemistry and Physics, 137, 681-688.
[5] Kim, H., Park, U., Lee, C., Kim, H., Hwan Kim, M., & Kim, J. (2014). Drop splashing on a rough surface: How surface morphology affects splashing threshold. Applied Physics Letters, 104(16), 161608.
[6] San Lee, J., Park, S. J., Lee, J. H., Weon, B. M., Fezzaa, K., & Je, J. H. (2015). Origin and dynamics of vortex rings in drop splashing. Nature communications, 6(1), 1-8.
[7] De Goede, T. C., Laan, N., De Bruin, K. G., & Bonn, D. (2017). Effect of wetting on drop splashing of Newtonian fluids and blood. Langmuir, 34(18), 5163-5168.
[8] Yang, S., An, Y., & Liu, Q. (2017). Effect of viscosity on motion of splashing crown in high speed drop impact. Applied Mathematics and Mechanics, 38(12), 1709-1720.
[9] Latka, A., Boelens, A. M., Nagel, S. R., & de Pablo, J. J. (2018). Drop splashing is independent of substrate wetting. Physics of Fluids, 30(2), 022105.
[10] Kittel, H. M., Alam, E., Roisman, I. V., Tropea, C., & Gambaryan-Roisman, T. (2018). Splashing of a Newtonian drop impacted onto a solid substrate coated by a thin soft layer. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 553, 89-96.
[11] Yang, H., Sun, K., Xue, Y., Xu, C., Fan, D., Cao, Y., & Xue, W. (2019). Controllable drop splashing on picosecond laser patterned hybrid superhydrophobic/-philic surfaces. Applied Surface Science, 481, 184-191.
[12]. پناهی، ه.، و اسدی، س. (1397). پیشبینی پخش شدن نانو قطرات بر روی سطح با استفاده از مدل رگرسیون غیر خطی چند متغیره. مواد پیشرفته و پوشش های نوین، 7، 1881-1886.
[13] Popov, G., & Anguelov, K. (2018). Application of stress strength analysis for investigation of investments in heterogeneous assets. In AIP Conference Proceedings (Vol. 2048, No. 1, p. 060033). AIP Publishing LLC.
[14] Dey, S., Mazucheli, J., & Anis, M. Z. (2017). Estimation of reliability of multicomponent stress–strength for a Kumaraswamy distribution. Communications in Statistics-Theory and Methods, 46(4), 1560-1572.
[15] Ghitany, M. E., Al-Mutairi, D. K., & Aboukhamseen, S. M. (2015). Estimation of the reliability of a stress-strength system from power Lindley distributions. Communications in Statistics-Simulation and Computation, 44(1), 118-136.
[16] Raqab, M. Z., & Kundu, D. (2005). Comparison of different estimators of P [Y< X] for a scaled Burr type X distribution. Communications in Statistics—Simulation and Computation, 34(2), 465-483.
[17] Kayal, T., Tripathi, Y. M., & Rastogi, M. K. (2018). Estimation and prediction for an inverted exponentiated Rayleigh distribution under hybrid censoring. Communications in Statistics-Theory and Methods, 47(7), 1615-1640.
[18] Panahi, H., & Moradi, N. (2020). Estimation of the inverted exponentiated Rayleigh distribution based on adaptive type II progressive hybrid censored sample. Journal of Computational and Applied Mathematics, 364, 112345.
[19] Balakrishnan, N., Balakrishnan, N., & Aggarwala, R. (2000). Progressive censoring: theory, methods, and applications. Springer Science & Business Media.
[20] Wu, S. J., & Kuş, C. (2009). On estimation based on progressive first-failure-censored sampling. Computational Statistics & Data Analysis, 53(10), 3659-3670.
[21] Soliman, A. A., Abd-Ellah, A. H., Abou-Elheggag, N. A., & Abd-Elmougod, G. A. (2012). Estimation of the parameters of life for Gompertz distribution using progressive first-failure censored data. Computational Statistics & Data Analysis, 56(8), 2471-2485.
[22] Lio, Y. L., & Tsai, T. R. (2012). Estimation of δ= P (X< Y) for Burr XII distribution based on the progressively first failure-censored samples. Journal of Applied Statistics, 39(2), 309-322.
[23] Ahmed, E. A. (2017). Estimation and prediction for the generalized inverted exponential distribution based on progressively first-failure-censored data with application. Journal of Applied Statistics, 44(9), 1576-1608.
[24] Panahi, H. (2018). Inference for exponentiated Pareto distribution based on progressive first-failure censored data with application to cumin essential oil data. Journal of Statistics and Management Systems, 21(8), 1433-1457.
[25] Dube, M., Krishna, H., & Garg, R. (2016). Generalized inverted exponential distribution under progressive first-failure censoring. Journal of Statistical Computation and Simulation, 86(6), 1095-1114.
[26] Team, R. C. (2014). R: A Language and Environment for Statistical Computing http://www. R-project. org.
[27] Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716-723.
[28] Schwarz, G. (1978). Estimating the dimension of a model. The annals of statistics, 6(2), 461-464.
[29] Balakrishnan, N., & Sandhu, R. A. (1995). A simple simulational algorithm for generating progressive Type-II censored samples. The American Statistician, 49(2), 229-230.