Munich Personal RePEc Archive

Mathematics vs. Statistics in tackling Environmental Economics uncertainty

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

[thumbnail of MPRA_paper_85280.pdf]

Download (655kB) | Preview


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 decision-making 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.

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.