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000032797 0247_ $$2doi$$a10.18637/jss.v064.i06
000032797 0248_ $$2sideral$$a89585
000032797 037__ $$aART-2015-89585
000032797 041__ $$aeng
000032797 100__ $$0(orcid)0000-0002-9052-9674$$aCebrián, A.C.$$uUniversidad de Zaragoza
000032797 245__ $$aNHPoisson: An R package for fitting and validating nonhomogeneous Poisson processes
000032797 260__ $$c2015
000032797 5060_ $$aAccess copy available to the general public$$fUnrestricted
000032797 5203_ $$aNHPoisson is an R package for the modeling of nonhomogeneous Poisson processes in one dimension. It includes functions for data preparation, maximum likelihood estimation, covariate selection and inference based on asymptotic distributions and simulation methods. It also provides specific methods for the estimation of Poisson processes resulting from a peak over threshold approach. In addition, the package supports a wide range of model validation tools and functions for generating nonhomogenous Poisson process trajectories. This paper is a description of the package and aims to help those interested in modeling data using nonhomogeneous Poisson processes.
000032797 536__ $$9info:eu-repo/grantAgreement/ES/MEC/CGL2009-09646
000032797 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000032797 590__ $$a2.379$$b2015
000032797 591__ $$aSTATISTICS & PROBABILITY$$b7 / 123 = 0.057$$c2015$$dQ1$$eT1
000032797 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b22 / 104 = 0.212$$c2015$$dQ1$$eT1
000032797 592__ $$a3.071$$b2015
000032797 593__ $$aSoftware$$c2015$$dQ1
000032797 593__ $$aStatistics, Probability and Uncertainty$$c2015$$dQ1
000032797 593__ $$aStatistics and Probability$$c2015$$dQ1
000032797 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000032797 700__ $$0(orcid)0000-0002-7974-7435$$aAbaurrea, J.$$uUniversidad de Zaragoza
000032797 700__ $$0(orcid)0000-0002-0174-789X$$aAsín, J.$$uUniversidad de Zaragoza
000032797 7102_ $$12007$$2265$$aUniversidad de Zaragoza$$bDpto. Métodos Estadísticos$$cÁrea Estadís. Investig. Opera.
000032797 773__ $$g64, 6 (2015), 1-25$$pJournal of Statistical Software$$tJournal of Statistical Software$$x1548-7660
000032797 85641 $$uhttp://www.jstatsoft.org/article/view/v064i06$$zTexto completo de la revista
000032797 8564_ $$s529180$$uhttps://zaguan.unizar.es/record/32797/files/texto_completo.pdf$$yVersión publicada
000032797 8564_ $$s76599$$uhttps://zaguan.unizar.es/record/32797/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000032797 909CO $$ooai:zaguan.unizar.es:32797$$particulos$$pdriver
000032797 951__ $$a2021-05-07-08:09:11
000032797 980__ $$aARTICLE