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Improving Ratio Estimators of Second Order Point Process Characteristics
Author(s) -
Stoyan Dietrich,
Stoyan Helga
Publication year - 2000
Publication title -
scandinavian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.359
H-Index - 65
eISSN - 1467-9469
pISSN - 0303-6898
DOI - 10.1111/1467-9469.00213
Subject(s) - estimator , mathematics , point process , statistics , function (biology) , poisson distribution , square (algebra) , m estimator , mean squared error , intensity (physics) , geometry , physics , quantum mechanics , evolutionary biology , biology
Ripley's K function, the L function and the pair correlation function are important second order characteristics of spatial point processes. These functions are usually estimated by ratio estimators, where the numerators are Horvitz–Thompson edge corrected estimators and the denominators estimate the intensity or its square. It is possible to improve these estimators with respect to bias and estimation variance by means of adapted distance dependent intensity estimators. Further improvement is possible by means of refined estimators of the square of intensity. All this is shown by statistical analysis of simulated Poisson, cluster and hard core processes.