Hostname: page-component-cd9895bd7-hc48f Total loading time: 0 Render date: 2024-12-29T04:04:15.641Z Has data issue: false hasContentIssue false

An example of Wold's point processes by Markov-dependent intervals

Published online by Cambridge University Press:  14 July 2016

C. D. Lai*
Affiliation:
University of Auckland
*
Now at National Chiao Tung University, Hsinchu, Taiwan.

Abstract

Wold's point process is briefly introduced and its forward equation is derived in terms of an integro-differential equation which is used to obtain the ‘renewal' function. An example of this family of processes is given in which each interval is exponentially distributed. The theory of diagonal expansion for a bivariate distribution is used to obtain the numerical estimate of the spectrum of counts.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1978 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Cox, D. R. (1955) Some statistical methods connected with series of events. J. R. Statist. Soc. B 17, 129164.Google Scholar
[2] Cox, D. R. and Lewis, P. A. W. (1966) The Statistical Analysis of Series of Events. Methuen, London; Wiley, New York.Google Scholar
[3] Domb, C. (1950) The statistics of correlated events. I. Philos. Mag. (7) 41, 968982.Google Scholar
[4] Downton, F. (1970) Bivariate exponential distributions in Reliability Theory. J. R. Statist. Soc. B 32, 408417.Google Scholar
[5] Erdélyi, A. (1954) Tables of Integral Transforms , Vol. 1. McGraw-Hill, New York.Google Scholar
[6] Lai, C. D. (1975) Diagonal Expansions of Bivariate Probability Distributions and their Application to Point Processes. Ph.D. Dissertation, Department of Mathematics, Victoria University of Wellington, N.Z. Google Scholar
[7] Lampard, D. G. (1968) A stochastic process whose successive intervals between events form a first order Markov chain I. J. Appl. Prob. 5, 648668.Google Scholar
[8] Moran, P. A. P. (1967a) Testing for correlation between two non-negative variates. Biometrika 54, 384394.Google Scholar
[9] Moran, P. A. P. (1967b) Testing for serial correlation with exponentially distributed variates. Biometrika 54, 395401.Google Scholar
[10] Postelnicu, V. (1971) Renewal theory for a class of processes with dependent inter-renewal times. Proceedings of the 4th Bragov conference on Probability Theory.Google Scholar
[11] Runnenburg, J. Th. (1960) On the Use of Markov Processes in One-server Waiting Time Problems and Renewal Theory. Ph. D. Thesis, Amsterdam.Google Scholar
[12] Srinivasan, S. K. (1973) Stochastic Point Processes and their Applications. Griffin, London.Google Scholar
[13] Szegö, G. (1975) Orthogonal Polynomials. Amer. Math. Soc. Colloq. Pub. Vol. 23, 4th edn. Amer. Math. Soc., Providence, R.I. Google Scholar
[14] Vere-Jones, D. (1967) The infinite divisibility of a bivariate gamma distribution. Sankhya A 29, 421422.Google Scholar
[15] Vere-Jones, D. (1975) A renewal equation for point processes with Markov-dependent intervals. Math. Nachr. 68, 133139.CrossRefGoogle Scholar
[16] Wold, H. (1948a) On stationary point processes and Markov chains. Skand. Aktuar. 31, 229240.Google Scholar
[17] Wold, H. (1948b) Sur les processus stationnaires ponctuels. Colloques Internat. C.N.R.S. 13, 7586.Google Scholar