Asymptotic approach for a renewal - reward process with a general interference of chance

In this study, a renewal-reward process with a general interference of chance is considered. Exact expressions and asymptotic expansions for some of the probability characteristic are obtained. Stochastic process X(t) is constructed and one dimensional distribution function is gotten. Then, under weak conditions, the ergodicity of the process X(t) is proved and exact expression for the ergodic distribution is obtained. Examples for the found exact expressions under different distributions (exponential distribution, Erlang distribution) are presented. Moreover, weak convergence theorem is proved for the ergodic distribution and two term asymptotic expansion is obtained for the limiting distribution. Besides, exact expressions for the moments of the ergodic distribution are found. Within some assumptions for the discrete interference of chance in general form, two term asymptotic expansions for the moments of the ergodic distribution are obtained. Additionally, kurtosis, skewness coefficient and coefficient of variation of the ergodic distribution are computed. Examples are given when the random variable expresses the discrete interference of chance has several distributions (Uniform distribution, symmetric triangular distribution, nonsymmetric triangular distribution, generalized Beta distribution). Finally, exact expressions and asymptotic expansions for the moments of the three important boundary functionals are obtained. Keywords: Renewal-reward process, General discrete interference of chance, Ergodic distribution, Weak convergence, Asymptotic expansion, Boundary Functional.