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World Health Spatiotemporal Random Variables in Strong Correlation with Mathematical Deterministic Conditions
Science Journal of Public Health
Volume 3, Issue 3-1, May 2015, Pages: 18-23
Received: Feb. 8, 2015; Accepted: Feb. 8, 2015; Published: Apr. 11, 2015
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Persefoni Kritikou, Health Economist, London, UK
Mihael Maniadhakis, Geographer, Athens, Greece
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The present report describes sufficiently documented results of a research undertaken in an effort to detect possible effects of the 21st century’s socioeconomic transformation on Health Care Services. Before embarking on such research, presuppositions ought to be examined using the vastly developed methods and techniques in mathematical – statistical research. Results until now lead to a restatement of assumptions, principally on the combination of Set Theoretic and Probabilistic stereotypes.
Logistic Recurrent Model, GIS, Dependency
To cite this article
Persefoni Kritikou, Mihael Maniadhakis, World Health Spatiotemporal Random Variables in Strong Correlation with Mathematical Deterministic Conditions, Science Journal of Public Health. Special Issue: Spatial Analysis and Mathematics in Health Research, During Times of Global Socio-Economic Instability. Vol. 3, No. 3-1, 2015, pp. 18-23. doi: 10.11648/j.sjph.s.2015030301.14
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