Halkos, George and Kitsos, Christos (2018): Mathematics vs. Statistics in tackling Environmental Economics uncertainty.

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Abstract
In this paper the appropriate background in Mathematics and Statistics is considered in developing methods to investigate Risk Analysis problems associated with Environmental Economics uncertainty. New senses of uncertainty are introduced and a number of sources of uncertainty are discussed and presented. The causes of uncertainty are recognized helping to understand how they affect the adopted policies and how important their management is in any decisionmaking process. We show Mathematical Models formulate the problem and Statistical models offer possible solutions, restricting the underlying uncertainty, given the model and the error assumptions are correct. As uncertainty is always present we suggest ways on how to handle it.
Item Type:  MPRA Paper 

Original Title:  Mathematics vs. Statistics in tackling Environmental Economics uncertainty 
Language:  English 
Keywords:  Uncertainty; Environmental Economics; Mathematics; Statistics. 
Subjects:  C  Mathematical and Quantitative Methods > C0  General > C02  Mathematical Methods C  Mathematical and Quantitative Methods > C6  Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C60  General Q  Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q0  General > Q00  General Q  Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5  Environmental Economics > Q50  General Q  Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5  Environmental Economics > Q58  Government Policy 
Item ID:  85280 
Depositing User:  G.E. Halkos 
Date Deposited:  19 Mar 2018 14:34 
Last Modified:  27 Sep 2019 04:33 
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URI:  https://mpra.ub.unimuenchen.de/id/eprint/85280 