Yazar "Khaniyev, Tahir" için listeleme
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Asymptotic expansions for the ergodic moments of a semi-markovian random walk with a generalized delaying barrier
Khaniyev, Tahir; Marandi, Ali Akbar Fattahpour; Ünver, İhsan (Işık University Press, 2012)In this study, a semi-Markovian random walk process (X(t)) with a generalized delaying barrier is considered and the ergodic theorem for this process is proved under some weak conditions. Then, the exact expressions and ... -
Asymptotic results for an inventory model of type (s, S) with a generalized beta interference of chance
Khaniyev, Tahir; Aksop, Cihan (Işık University Press, 2011-10-19)In this study, asymptotic expansion for ergodic distribution of an inventory control model of type (s, S) with generalized beta interference of chance is obtained, when S ? s ? ?. Moreover, weak convergence theorem is ... -
A novel stochastic approach to buffer stock problem
Hanalıoğlu, Zülfiye; Poladova, Aynura; Gever, Başak; Khaniyev, Tahir (Işık University Press, 2024-04)In this paper, the stochastic fluctuation of buffer stock level at time t is investigated. Therefore, random walk processes X(t) and Y (t) with two specific barriers have been defined to describe the stochastic fluctuation ... -
On the moments for ergodic distribution of an inventory model of type (s; S) with regularly varying demands having infinite variance
Bektaş Kamışlık, Aslı; Kesemen, Tülay; Khaniyev, Tahir (Işık University Press, 2018)In this study a stochastic process X(t) which represents a semi Markovian inventory model of type (s,S) has been considered in the presence of regularly varying tailed demand quantities. The main purpose of the current ... -
Weak convergence theorem for the ergodic distribution of a random walk with normal distributed interference of chance
Hanalioğlu, Zülfiye; Khaniyev, Tahir; Agakishiyev, Ilgar (Işık University Press, 2015)In this study, a semi-Markovian random walk process (X(t)) with a discrete interference of chance is investigated. Here, it is assumed that the ?n, n = 1, 2, 3, ..., which describe the discrete interference of chance are ...
