Accession Number : ADA186735
Title : Measuring the Dependence between Two Point Processes through Confidence Intervals for the Second Order Distribution.
Descriptive Note : Technical rept.,
Corporate Author : FLORIDA STATE UNIV TALLAHASSEE DEPT OF STATISTICS
Personal Author(s) : Doss, Hani
PDF Url : ADA186735
Report Date : Sep 1987
Pagination or Media Count : 21
Abstract : To assess the dependence structure in a stationary bivariate point process the second-order distribution can be very useful. We prove that the natural estimates of this distribution, based on a realization A1 A2 ... Asub A, B1 B2 ... B sub b are asymptotically normal, and we present a method for constructing approximate confidence intervals for this distribution. Keywords: Bivariate point process; Ripley's K-function; cross-intensity function; Stationary point process; stationary sequence.
Descriptors : *CONFIDENCE LIMITS, *BIVARIATE ANALYSIS, INTERVALS, STATIONARY, ESTIMATES, PROBABILITY DISTRIBUTION FUNCTIONS, FUNCTIONS, SEQUENCES(MATHEMATICS), POINT THEOREM
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE