Mathematical modeling of environmental data

Academic Article


  • Environmental pollution studies conducted to monitor ambient levels and to quantify the concentration of various pollutants entering a given environmental area are of great interest for possible adverse-health effects. Of particular importance in environmental data analysis is to select appropriate probability models. The previous studies indicate that none of the probability models, including the classical log-normal, has been identified to be superior to others in a general sense. To address this problem, the purpose of this paper is twofold. First, we introduce a generalized log-logistics distribution as a general model in fitting environmental pollutant data. The family of the generalized log-logistics distribution includes several well-known distributions in modeling data of environmental pollutant concentrations, such as log-normal, Weibull, and gamma as special cases. Second, by applying the proposed model to some environmental data sets, we explore the possibilities of using this model as a general probability model for fitting environmental-quality data. © 2001 Elsevier Science Ltd.
  • Published In

    Digital Object Identifier (doi)

    Author List

  • Singh KP; Warsono W; Bartolucci AA; Bae S
  • Start Page

  • 793
  • End Page

  • 800
  • Volume

  • 33
  • Issue

  • 6-7