Electronic Resource

Applications of discrete time Markov chains and poisson processes to air pollution modeling and studies

---

In 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.​

---

Ketersediaan

Informasi Detail

Judul Seri

Springer briefs in mathematics

No. Panggil

E472

Penerbit

New York : Springer., 2012

Deskripsi Fisik

x, 107 hlm.

Bahasa

English

ISBN/ISSN

9781461446453

Klasifikasi

NONE

Tipe Isi

text

Tipe Media

computer

Tipe Pembawa

online resource

Edisi

1

Subjek

Probabilitas dan Matematika Terapan

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Eliane Regina Rodrigues, Jorge Alberto Achcar

Versi lain/terkait

Lampiran Berkas

Komentar

---

Anda harus masuk sebelum memberikan komentar