Generalisasi Algoritma Thinning Process pada Proses Poisson Majemuk dengan Komponen Proses Poisson Nonhomogen dan Distribusi Gamma
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distribusi gamma, generalisasi algoritma, penduga parameter, proses Poisson majemuk, proses Poisson nonhomogen.
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Abdullah, S., Mangku, I. W., & Siswadi. (2017). Estimating the variance function of a compound cyclic Poisson process in the presence of linear trend. Far East Journal of Mathematical Sciences,102(3), 559-572. http://dx.doi.org/10.17654/MS102030559.
Abdullah, S., Ikhsan, F., Ula, S., & Rukmayadi, Y. (2019). Thinning process algorithms for compound Poisson process having nonhomogeneous Poisson process (NHPP) intensity functions. IOP Conf. Ser.: Mater. Sci. Eng., 673 012062. http://dx.doi.org/10.1088/1757-899X/673/1/012062.
Abdullah, S., Susilo, S., Mangku, I. W., Ikhsan, F., Ula, S., & Rukmayadi, Y. (2020). Algorithm for generating compound Poisson process which has nonhomogeneous Poisson process and exponential distribution components. 1st International Multidisciplinary Conference on Education, Technology, and Engineering (IMCETE 2019), Atlantis Press, 241-246. https://doi.org/10.2991/assehr.k.200303.059.
Abdullah, S., Susilo, S., Ula, S., Aswata, Valentika, N., & Chasanah, S. I. U. (2020). Algoritma membangkitkan proses Poisson majemuk dengan komponen proses Poisson nonhomogen fungsi linear dan komponen berdistribusi eksponensial. STATMAT: Jurnal Statistika dan Matematika, 2(1), 81-93. https://doi.org/10.32493/sm.v2i1.4224.
Andrzejczak, K., Młyńczak, M., & Selech, J. (2018). Poisson-distributed failures in the predicting of the cost of corrective maintenance. Eksploatacja i Niezawodnosc–Maintenance and Reliability, 20(4), 602–609. https://doi.org/10.17531/ein.2018.4.11.
Beichelt, F. (2006). Stochastic Processes in Science, Engineering and Finance. New York (US): Chapman & Hall/CRC Taylor & Francis Group.
Cha, J. H. (2013). On a stochastic failure model under random shocks. J. Phys.: Conf. Ser., 410 012108. https://doi.org/10.1088/1742-6596/410/1/012108.
Lewis, P., A., W., & Shedler, G., S. (1979). Simulation Poisson process by thinning. Naval Postgraduate School Montery [Tesis]. California (US): Calhoun.
Makhmudah, F. I., Mangku, I. W., & Sumarno, H. (2016). Estimating the variance function of a compound cyclic Poisson process. Far East Journal of Mathematical Sciences, 100(6), 911-922. https://doi.org/10.17654/MS100060911.
Mangku, I. W., Ruhiyat, & Purnaba, I. G. P. (2013). Statistical properties of an estimator for the mean function of a compound cyclic Poisson process. Far East Journal of Mathematical Sciences, 82(2), 227-237.
Pahlajani, C. D., Poulakakis, I., & Tanner, H. G. (2014). Networked decision making for Poisson processes with application to nuclear detection. IEEE Transaction on Automatic Control, 59(1), 193-198. https://doi.org/10.1109/TAC.2013.2267399.
Ross, S. M. (2012). Simulation. Ed ke-5. Amsterdam (NL): Academic Pr.
Ross, S. M. (2019). Introduction to probability models. Ed. ke-12. Florida (US): Academic Pr.
Ruhiyat, Mangku, I. W., & Purnaba, I. G. P. (2013). Consistent estimation of the mean function of a compound cyclic Poisson process. Far East Journal of Mathematical Sciences, 77(2), 183-194.
Sampson, W. W. (2009). Modelling stochastic fibrous materials with mathematica®. London (UK): Springer-Verlag. https://doi.org/10.1007/978-1-84800-991-2.
Soltanali, H., Rohani, A., Tabasizadeh, M., Abbaspour-Fard, M. H., & Parida, A. (2019). Operational reliability evaluation-based maintenance planning for automotive production line. Quality Technology & Quantitative Management. Taylor and Francis Group, 17(2), 186-202. https://doi.org/10.1080/16843703.2019.1567664.
Wibowo, B. A., Mangku, I. W., & Siswadi. (2017). Statistical properties of an estimator for the mean function of a compound cyclic Poisson process in the presence of linear trend. Arab Journal of Mathematical Science, 23(2), 173-185. https://doi.org/10.1016/j.ajmsc.2016.08.004.
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