Statistical Methods in Ecological Processes

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Author(s): Asaf Hajiyev (Azerbaijan National Academy of Sciences, Azerbaijan)
Copyright: 2020
Pages: 8
Source title: Handbook of Research on Emerging Developments and Environmental Impacts of Ecological Chemistry
Source Author(s)/Editor(s): Gheorghe Duca (Institute of Chemistry, Moldova State University, Moldova & Academy of Science of Moldova and Romanian Academy, Romania.)and Ashok Vaseashta (International Clean Water Institute, USA & New Jersey City University, USA & Academy of Sciences of Moldova, Moldova)
DOI: 10.4018/978-1-7998-1241-8.ch003

Keywords: Chemical Engineering / Environmental Science and Technologies / Information Science Reference / Science & Engineering

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Abstract

The ecological processes have complicated structure. The equations, describing their behavior, also have a complicated structure; hence, to solve them faces with some difficulties. One of the effective ways is to collect data and make statistical data analysis of these data and afterward to make corresponding decisions. As ecological processes depend on a lot of parameters, and moreover, the number of these parameters can increase in time. In the chapter, the conception of regression models with increasing number of unknown parameters is introduced. In the frame of regression models with increasing number of unknown parameters, the approach for estimating of the main parameters of the ecological processes is suggested. Using estimates of unknown parameters, the approach allows to construct a confidence band for unknown functions in these models. Numerical examples demonstrating these results are given.

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