02072nas1 2200385 n 450 99000000026050332120091103110813.00531-9870000000026FED02000000026(Aleph)000000026FED02CNRP 0001899620091027a19679999km-y0itaa50------baitaITAnnali della Fondazione Luigi Einaudi1967-TorinoLeo S. OlschkiAnnuale1997-Annali della Fondazione Luigi Einaudi311945330Fondazione Luigi EinaudiITACNP20090723http://acnp.cib.unibo.it/cgi-ser/start/it/cnr/dc-p1.tcl?catno=11316&person=false&language=ITALIANO&libr=&libr_th=uninaBiblioteche che possiedono il periodico990000000260503321UNINA866-01NA037 Biblioteca. Dipartimento di Economia dell'Università Federico II - Sez. IIVia Cinthia, 45 - Monte S. Angelo, 80126 Napoli (NA)(081) 675016/675025081/675014it866-02NA039 Biblioteca. Dipartimento di Economia dell'Università Federico II - Sez. IP-05Via Cinthia, 45 - Parco S. Paolo, 80126 Napoli (NA)(081) 675016/675025081/675014it866-03NA072 BRAU. Biblioteca di Ricerca di Area UmanisticaSP - Per. it. 89Piazza Bellini 56/60, 80133 Napoli (NA)(081) 2533948it866-04NA073 Biblioteca Centrale della Facoltà di Giurisprudenza dell'Università di Napoli Federico IIXVII 994Corso Umberto I, 80138 Napoli (NA)0812537531/330812537532it866-05NA087 Biblioteca Centralizzata. Facoltà di Agraria dell'Università Federico II di Napoliv. Università, 100 Palazzo Reale, 80055 Portici (NA)081-2539322081-7760229itacnp.cib.unibo.itACNP Italian Union Catalogue of Serialshttp://acnp.cib.unibo.it/cgi-ser/start/it/cnr/df-p.tcl?catno=11316&language=ITALIANO&libr=&person=&B=1&libr_th=unina&proposto=NO04374nam 2200661 a 450 991043787190332120200520144314.01-283-62439-797866139368441-4614-4645-710.1007/978-1-4614-4645-3(CKB)2670000000246064(EBL)994116(OCoLC)809852941(SSID)ssj0000736353(PQKBManifestationID)11489626(PQKBTitleCode)TC0000736353(PQKBWorkID)10771547(PQKB)10806077(DE-He213)978-1-4614-4645-3(MiAaPQ)EBC994116(PPN)168300834(EXLCZ)99267000000024606420120719d2013 uy 0engur|n|---|||||txtccrApplications of discrete-time Markov chains and poisson processes to air pollution modeling and studies /Eliane Regina Rodrigues, Jorge Alberto Achcar1st ed. 2013.New York Springer20131 online resource (115 p.)SpringerBriefs in mathematics,2191-8198Description based upon print version of record.1-4614-4644-9 Includes bibliographical references and index.Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies; Acknowledgements; Contents; Chapter1 Introduction; Chapter2 Markov Chain Models; 2.1 Introduction; 2.2 Description of the Mathematical Model; 2.3 Bayesian Formulation; 2.4 Application to Ozone Air Pollution; Chapter3 Poisson Models and Their Application to Ozone Data; 3.1 Introduction; 3.2 Homogeneous Poisson Models; 3.3 Non-homogeneous Poisson Models; 3.4 Models with the Presence of Change-Points; Chapter4 Modeling the Time Between Ozone Exceedances; 4.1 Introduction4.2 The Mathematical Models4.3 An Application to Ozone Data; Chapter5 Some Counting Processes and Ozone Air Pollution; 5.1 Introduction; 5.2 Description of the Independent and Bivariate Models; 5.3 A Copula Model; Chapter6 Comments; References; Appendix: Program Code; A.1 R Code for the Non-homogeneous Poisson Models with No Change-Points; A.1.1 Weibull Rate Function; A.1.2 Generalized Goel-Okumoto Rate Function; A.1.3 Musa-Okumoto Rate Function; A.2 WinBugs Code; A.2.1 WinBugs Code for the Non-homogeneous Models with One Change-Point; A.2.2 WinBugs Code for the Times Between ExceedancesA.2.2.1 Model IA.2.2.2 Model II; A.2.2.3 Model III; A.2.2.4 Model IV; A.2.2.5 Multiple Change-Points; IndexIn this brief we consider some stochastic models that may be used to study problems related to environmental matters, in particular, air pollution.  The impact of exposure to air pollutants on people's health is a very clear and well documented subject. Therefore, it is very important to obtain ways to predict or explain the behaviour of pollutants in general. Depending on the type of question that one is interested in answering, there are several of ways studying that problem. Among them we may quote, analysis of the time series of the pollutants' measurements, analysis of the information obtained directly from the data, for instance, daily, weekly or monthly averages and standard deviations. Another way to study the behaviour of pollutants in general is through mathematical models. In the mathematical framework we may have for instance deterministic or stochastic models. The type of models that we are going to consider in this brief are the stochastic ones.SpringerBriefs in Mathematics,2191-8198Markov processesAirPollutionComputer simulationAirPollutionStudy and teachingMarkov processes.AirPollutionComputer simulation.AirPollutionStudy and teaching.628.532Rodrigues Regina Eliane1762518Achcar Jorge Alberto1762519MiAaPQMiAaPQMiAaPQBOOK9910437871903321Applications of discrete-time Markov chains and poisson processes to air pollution modeling and studies4202500UNINA