000060724 001__ 60724
000060724 005__ 20210507081943.0
000060724 0247_ $$2doi$$a10.1007/s10651-014-0288-1
000060724 0248_ $$2sideral$$a91949
000060724 037__ $$aART-2015-91949
000060724 041__ $$aeng
000060724 100__ $$0(orcid)0000-0002-7974-7435$$aAbaurrea, J.$$uUniversidad de Zaragoza
000060724 245__ $$aA bootstrap test of independence between three temporal nonhomogeneous Poisson processes and its application to heat wave modeling
000060724 260__ $$c2015
000060724 5060_ $$aAccess copy available to the general public$$fUnrestricted
000060724 5203_ $$aThe main contribution of this work is a bootstrap test to check the independence between temporal nonhomogeneous Poisson processes. The test statistic is based on the close point relation, which adapts the crossed nearest neighbour distance ideas of spatial point processes to the case of nonhomogeneous time point processes. Since it is complicated to obtain the probability distribution of the test statistic under the null hypothesis and the parameters of the processes are usually unknown, the p value is obtained using a parametric bootstrap approach. A simulation study shows that the size of the test is close to the nominal one. The power is analyzed considering three approaches for generating dependent nonhomogeneous processes and different levels of dependence, and satisfactory results are obtained in all cases. Although the test was initially intended for Poisson processes, it can be applied to any type of point process in one dimension which can be simulated. This test is a valuable tool in the validation analysis of common Poisson shock models. For the bivariate case, the process can be decomposed into three independent Poisson processes, and the assumption of independence between them has to be checked. As an application, the joint modeling of the occurrence process of extreme heat events in daily maximum and minimum temperatures is described.
000060724 536__ $$9info:eu-repo/grantAgreement/ES/MEC/CGL2009-09646$$9info:eu-repo/grantAgreement/ES/MMA/ESTCENA 2009-0017
000060724 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000060724 590__ $$a0.769$$b2015
000060724 591__ $$aSTATISTICS & PROBABILITY$$b71 / 123 = 0.577$$c2015$$dQ3$$eT2
000060724 591__ $$aMATHEMATICS, INTERDISCIPLINARY APPLICATIONS$$b72 / 101 = 0.713$$c2015$$dQ3$$eT3
000060724 591__ $$aENVIRONMENTAL SCIENCES$$b194 / 225 = 0.862$$c2015$$dQ4$$eT3
000060724 592__ $$a0.505$$b2015
000060724 593__ $$aEnvironmental Science (miscellaneous)$$c2015$$dQ2
000060724 593__ $$aStatistics, Probability and Uncertainty$$c2015$$dQ3
000060724 593__ $$aStatistics and Probability$$c2015$$dQ3
000060724 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000060724 700__ $$0(orcid)0000-0002-0174-789X$$aAsín, J.$$uUniversidad de Zaragoza
000060724 700__ $$0(orcid)0000-0002-9052-9674$$aCebrián, A.C.$$uUniversidad de Zaragoza
000060724 7102_ $$12007$$2265$$aUniversidad de Zaragoza$$bDpto. Métodos Estadísticos$$cÁrea Estadís. Investig. Opera.
000060724 773__ $$g22, 1 (2015), 127-144$$pEnviron. ecol. stat.$$tENVIRONMENTAL AND ECOLOGICAL STATISTICS$$x1352-8505
000060724 8564_ $$s544893$$uhttps://zaguan.unizar.es/record/60724/files/texto_completo.pdf$$yPostprint
000060724 8564_ $$s49902$$uhttps://zaguan.unizar.es/record/60724/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000060724 909CO $$ooai:zaguan.unizar.es:60724$$particulos$$pdriver
000060724 951__ $$a2021-05-07-08:09:20
000060724 980__ $$aARTICLE