Volume 51 | Number 4 | Year 2017 | Article Id. IJMTT-V51P532 | DOI : https://doi.org/10.14445/22315373/IJMTT-V51P532
S.Santhoshkumar, D.Moganraj, K.R.Bindhu, "A Study on Homogenous and Heterogenous Markov Processes," International Journal of Mathematics Trends and Technology (IJMTT), vol. 51, no. 4, pp. 248-252, 2017. Crossref, https://doi.org/10.14445/22315373/IJMTT-V51P532
1. Albert PS, Waclawiw MA. A two-state Markov chain for heterogeneous transitional data: a quasilikelihood approach. Statistics in Medicine. 1998; 1481–1493. [PubMed: 9695193].
2. Andersen, PK.; Borgan, O.; Gill, RD.; Keiding, N. Statistical Models Based on Counting Processes. Springer; New York, NY: 1993.
3. H. Ascher and H. Feingold: Repairable Systems-Modeling, Inference, Misconceptions and Their Causes (Marcel Dekker, New York, 1984).
4. L.J. Bain and F.T. Wright: The negative binomial process with applications to reliability. Journal of Quality Technology, 14 (1982), 60–66.
5. Dwyer, F.R. (1989). Customer Lifetime Valuation to Support Marketing Decision Making. Journal of Direct Marketing, 3 (4), 8–15 (reprinted in 11 (4), 6–13).
6. M. Engelhardt and L.J. Bain: Statistical analysis of a compound power law model for repairable systems. IEEE Transactions on Reliability, R-36 (1987), 392–396.
7. D.A. Follmann and M.S. Goldberg: Distinguishing heterogeneity from decreasing hazard rate. Technometrics, 30 (1988), 389–396.
8. J.F. Lawless: Regression methods for Poisson process data. Journal of the American Statistical Association, 82 (1987), 802–815.
9. E.T.M. Ng and R.J. Cook: Adjusted score tests of homogeneity for Poisson processes. Journal of the American Statistical Association, 94 (1999), 308–319.
10. F. Proschan: Theoretical explanation of observed decreasing failure rates. Technometrics, 5 (1963), 375–383.
11. Kalbfleisch JD, Lawless JF. The analysis of panel data under a Markov assumption. Journal of the American Statistical Association. 1985; 80:863–871.
12. Kalbfleish, JD.; Lawless, JF. Proceedings of the Statistics Canada Symposium on Analysis of Data in Time. Ottawa, Ontario: Statistics Canada; 1989. S