Mathematical modeling of environmental data

✍ Scribed by K.P. Singh; Warsono; A.A. Bartolucci; Sejong Bae

• Publisher: Elsevier Science
• Year: 2001
• Tongue: English
• Weight: 606 KB
• Volume: 33
• Category: Article
• ISSN: 0895-7177
• DOI: 10.1016/s0895-7177(00)00281-8

✦ Synopsis

Environmental

pollution studies conducted to monitor ambient levels and to quantify the concentration of various pollutants entering a given environmental area are of great intereat for possible adver~health e&cts. Of particular importance in environmentcrl data analysis ie 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 seuee.

To address this problem, the purpoee of this paper is twofold. Firat, we introduce a generali log-logistics distribution ee a general model in fittiug environmental pollutant data. The family of the generalized log-logistics distribution includea several well-known distributions in modeling data of environmental pollutant concentrations, such es log-normal, Weibull, and gamma as special ceeee. Second, by applying the proposed model to some environmental data sets, we explore the possibilities of using this model ea a general probability model for fitting environmental-quality data.