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

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Summary

INTRODUCTION

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

THE EXACT RESULTS FOR THE CHARACTERISTICS OF THE BOUNDARY FUNCTIONALS
THE APPROXIMATION FORMULAS FOR THE FIRST FOUR MOMENTS OF N1 AND τ1
SIMULATION RESULTS

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