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Statistical Properties and Applications of Correlated Length Intervals of Some Stationary Random Point Processes
2012
ISRN Optics
The point process, a sequence of random univariate random variables derived from correlated bivariate random variables as modeled by Arnold and Strauss, has been examined. Statistical properties of the time intervals between the points as well as the probability distributions of the number of points registered in a finite interval have been analyzed specifically in function of the coefficient of correlation. The results have been applied to binary detection and to the transmission of
doi:10.5402/2012/604074
fatcat:gawecidt6javfofj2leghcsecy