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Information Sources (back to top)
▪
Peter Wakker's Decision Analysis Bibliography Excellent thorough bibliography of decision theory, expected utility
theory, prospect theory, other non-expected utility theories, psychology of
decision under risk and uncertainty.
▪ The History of Economic Thought Website: Great website for the history of economic theory. Decision making under uncertainty is discussed at http://cepa.newschool.edu/het/essays/uncert/choicecont.htm.
▪ Call numbers for JDM and psych journals
Obviously there are a huge number of useful psychology websites. Here are some that I have found useful. (back to top)
▪
The Whole Brain Atlas.
Great web site for brain anatomy, and good links to other brain and research
issues.
▪ MIT Encyclopedia of the Cognitive Sciences. Very good source for general information and background about cognitive science issues.
▪ The Top 100 Works in Cognitive Science according to the Millenium Project at the Center for Cognitive Sciences at the University of Minnesota. It is interesting to see what papers got selected. Although there is room to debate the rank order of these works, and the selection itself, there is no doubt that they are important papers. Any serious student of cognitive psychology should have at least some idea of what every paper on this list contributed to cognitive science.
▪ Cognitive Science Dictionary maintained by the University of Alberta.
▪ CogPrints is a source of electronic documents about cognitive science.
Statistics and Mathematical Modeling (See also R Sites below)
▪
DASL: Data sets for
educational purposes.
▪ UW Center for Social Science Statistics and Computation (CSSCR)
▪ UW Center for Statistics and the Social Sciences (CSSS)
▪ Snijders
▪ Rainer's Web Site for Statisticians
Free statistical software
▪ http://www.utexas.edu/cc/stat/world/Freeware.html
▪ http://www.statistics.com/content/freesoft/
▪ http://www.stat.unipg.it/IASC/Misc-stat-soft.html
R Statistics & Programming
▪
Nice pdf
file that gives a brief introduction to R graphics.
▪ RTips (StatsRUs): Very useful compendium on tips for how to handle analysis problems in R.
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