Abstract
In this study, two boundary functionals N\(_{1}\) and \(\tau_{1}\) of the renewal reward process with a discrete interference of chance (X(t)) are investigated. A relation between the moment generating function (\(\Psi\)N(z)) of the boundary functional N\(_{1}\) and the Laplace transform (\(\Phi_{\tau}(\mu\))) of the boundary functional \(\tau_{1}\) is obtained. Using this relation, the exact formulas for the first four moments of the boundary functional \(\tau_{1}\) are expressed by means of the first four moments of the boundary functional N\(_{1}\). Moreover, the asymptotic expansions for the first four moments of these boundary functionals are established when the random variables \(\{\zeta_{n}\}\), \(n \geq 0\), which describe a discrete interference of chance, have an exponential distribution with parameter \(\lambda > 0\) . Finally, the accuracy of the approximation formulas for the moments (EN\(_{1}^{k}\)) of the boundary functional N\(_{1}\) are tested by Monte Carlo simulation method.
Highlights
A number of very interesting problems of queuing, reliability, risk, sequential analysis and stock control theory, mathematical insurance, statistics and physics are expressed by means of the renewal reward process with a discrete interference of chance
THE EXACT RESULTS FOR THE CHARACTERISTICS OF THE BOUNDARY FUNCTIONALS
As a consequence of the formulas (4.1) and (4.2), we get the asymptotic expansion for the variance Var (N(x)), which is well known in the literature
Summary
A number of very interesting problems of queuing, reliability, risk, sequential analysis and stock control theory, mathematical insurance, statistics and physics are expressed by means of the renewal reward process with a discrete interference of chance. Khaniyev [5] investigated the probability characteristics of a boundary functional of a semi-continuous random process with reflecting and delaying screens. In [9] was investigated the distribution function and additive functional of the renewal reward process with a discrete interference of chance (X (t )). The system passes from one state to another by jumping at time Tn , according to the quantities of demand {ηn}, n ≥ 1 This variation of the system continues up to a certain random time τ1 , where τ1 is the first time that the stock level X(t) drops below the control level s > 0. The other purpose of this present study is to express the exact formulas for the first four moments of τ1 by means of N1 and obtain the third-order asymptotic expansions for the first four moments of these boundary functionals
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