DocumentCode :
942524
Title :
A stochastic process associated with the EAR(l) model
Author :
Sim, Chiaw-hock
Volume :
33
Issue :
1
fYear :
1987
fDate :
1/1/1987 12:00:00 AM
Firstpage :
47
Lastpage :
51
Abstract :
A stochastic bivariate process {(T_{n}, X_{n}): n=0,1,2, \\cdots } is considered. The T_{n} are the occurrence times of a random event generated by a Poisson stochastic point process. Each X_{n} is the amplitude associated with the n th event at random time T_{n} and is constructed from X_{n}-1 and the interarrival time T_{n}-T_{n-1} , according to the first-order autoregressive exponential time series model (EAR(l)). Moments and joint distributions for the bivariate process are obtained, as well as the distribution of some extreme values related to the bivariate process.
Keywords :
Autoregressive processes; Multivariable functions; Autocorrelation; Density functional theory; Exponential distribution; Hydrogen; Laplace equations; Random variables; Reactive power; Stochastic processes; Zinc;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1987.1057269
Filename :
1057269
Link To Document :
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