Three-term asymptotic expansion: A semi-Markovian random walk with a generalized beta distributed interference of chance
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, vol.46, no.3, pp.1445-1455, 2017 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 46 Issue: 3
- Publication Date: 2017
- Doi Number: 10.1080/03610926.2015.1019148
- Journal Name: COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Page Numbers: pp.1445-1455
- Karadeniz Technical University Affiliated: Yes
Abstract
A semi-Markovian random walk process (X(t)) with a generalized beta distribution of chance is considered. The asymptotic expansions for the first four moments of the ergodic distribution of the process are obtained as E((n)) when the random variable (n) has a generalized beta distribution with parameters (s, S, , ); , > 1,0 s < S < . Finally, the accuracy of the asymptotic expansions is examined by using the Monte Carlo simulation method.