Săvoiu, Gheorghe (2008): The scientifiv way of thinking in statistics, statistical physics and quantum mechanics. Published in: Romanian Statistical Review , Vol. 13, No. 11 (20. November 2008): pp. 1323.

PDF
MPRA_paper_13558.pdf Download (265kB)  Preview 
Abstract
This paper focuses on the way of thinking in both classical and modern Physics and Statistics, Statistical Mechanics or Statistical Physics and Quantum Mechanics. These different statistical ways of thinking and their specific methods have generated new fields for new activities and new scientific disciplines, like Econophysics (between Economics and Physics), Sociophysics (between Sociology and Physics), Mediaphysics (between all media and comunication sciences), etc. After describing some recent definitions of statistical thinking, implications of statistical education for developing Econophysics, Sociophysics, Mediaphysics, etc. from Statistical and Quantum Mechanics are discussed. Several opinions are given as a direct liaison between the classical and modern statistical sciences and thoughts of a scientific research in general. The main conclusion is that Statistics developing habits of mind for Statistical Physics in Econophysics, for the Quantum Mechanics in Quantum Physics, for the Sociology in Sociophysics will be essential for the future of all.
Item Type:  MPRA Paper 

Original Title:  The scientifiv way of thinking in statistics, statistical physics and quantum mechanics 
Language:  English 
Keywords:  Statistics, Statistical Physics, Quantum Mechanics, Econophysics, Sociophysics 
Subjects:  N  Economic History > N3  Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy > N30  General, International, or Comparative A  General Economics and Teaching > A1  General Economics > A14  Sociology of Economics 
Item ID:  13558 
Depositing User:  Gheorghe G. Săvoiu 
Date Deposited:  22. Feb 2009 07:40 
Last Modified:  13. Feb 2013 15:13 
References:  Ball P (2004), Critical Mass:How One Thing Leads to Another. Farrar,Straus and Giroux, New York. Becker,G.,(1976),The Economic Approach to Human Behavior, University of Chicago Press. Fischer J, Scholes M.(1973), The Pricing of Options and Corporate Liabilities, Journal of Political Economy, pp. 637654. Gallegati M, Keen S, Lux T, Ormerod P (2006), Worrying trends in Econofizica. Physica A, pp.16. Galam, S.(1986), Majority rule,hierarchical structure and democratic totalitarianism, Journal of Mathematical Psychology 30. Galam, S.(1990),Social paradoxes of majority rule voting and renormalization group,Journal of Statistical.Physics,61. Guala, F., (2005), The Methodology of Experimental Economics, Cambridge: Cambridge University Press. Mantegna RN,Stanley, HE (2000), An Introduction to Econofizica: Correlations and Complexity in Finance. Cambridge University Press, Cambridge pp. VIIIIX. McCauley, JL (2004), Dynamics of Markets: Econofizica and Finance. Cambridge, University Press, Cambridge. Moore, D. (1990), On the shoulders of giants: new approaches to numeracy, pp. 95137. L. Steen (Ed.) Washington, D.C.National Academy Press. pp 251253. Rosenberg, A.,(1992), EconomicsMathematical Politics or Science of Diminishing Returns, Chicago: University of Chicago Press. Reiss, J., (2007), Error in Economics, London: Routledge Săvoiu G., (2003), Statistică generală.Argumente în favoarea formării gândirii statistice, Ed. Independenţa Economicǎ, Piteşti. Săvoiu G., (2007), Statistica.Un mod ştiinţific de gândire, Ed. Universitară, Bucureşti. Sylwester, D. (1993), Statistical Thinking, AMSTAT News, February. Wild C.J., Pfannkuch M.,(1999), Statistical Thinking in Empirical Enquiry, Department of Statistics, University of Auckland, New Zealand, International Statistical Review, pp. 223  265. Yakovenko V.M. (2007), Econophysics, Statistical Mechanics Approach to, Encyclopedia of Complexity and System Science, Springer http://refworks.springer. Yougui Wang, Jinshan Wu, Zengru Di (2004), Physics of Econophysics, www.arxiv.org/abs/condmat 0401025, vl, 4 Jan, published in may 15, 2006 www.amstat.org/publications/jse/v10n3/chance.html 
URI:  https://mpra.ub.unimuenchen.de/id/eprint/13558 