The Descartes method is an algorithm for isolating the realroots of square-free polynomialswith real coefficients. We assumethat coefficients are given as (potentially infinite)bit-streams. In otherwords, coefficients can be approximated to any desiredaccuracy, but are notknown exactly. We show thata variant of the Descartes algorithm can cope w...
Creator:
Mehlhorn, Kurt (Max-Planck-Institut für Informatik)
Created:
2007-05-29
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Popper; confirmation vs falsification; science vs non-science; implicative syllogism, modus tollens; risky test; Salmon's coincidence; Bayes's theorem; role of protocols; Feyerabend; Lakatos
Creator:
Meehl, Paul E.
Contributor:
University of Minnesota. Department of Psychology
Created:
1989-01-12
Contributed By:
University of Minnesota, Department of Psychology.
Truth and verisimilitude (continued); theory formalization, core vs periphery; theory as "complete", kinds of entities; 3 kinds of theories; Fisher effects, interaction.
Creator:
Meehl, Paul E.
Contributor:
University of Minnesota. Department of Psychology
Created:
1989-01-26
Contributed By:
University of Minnesota, Department of Psychology.
Nomological net; levels of verisimilitude; theory plus auxiliaries -> observational relations; Lakatosian defense of core; risky predictions; Avagadro's number; weak/strong use of significance tests; Fisher on controlling variables (lady tasting tea)
Creator:
Meehl, Paul E.
Contributor:
University of Minnesota. Department of Psychology
Created:
1989-02-02
Contributed By:
University of Minnesota, Department of Psychology.
10 obfuscating factors for narrative summaries (#6-10):6. crud factor (continued); 7. pilot studies; 8. bias in MS submissions; 10. detached validation claim for psychometric instruments.
Creator:
Meehl, Paul E.
Contributor:
University of Minnesota. Department of Psychology
Created:
1989-02-16
Contributed By:
University of Minnesota, Department of Psychology.
Significance tests ok in technology, not theory testing; how to improve theory testing: investigators, editors and journal policy, reviewers of literature, theoreticians, PhD education practices; Probability concept (begin): historical, probability-1 and probability-2.
Creator:
Meehl, Paul E.
Contributor:
University of Minnesota. Department of Psychology
Created:
1989-02-23
Contributed By:
University of Minnesota, Department of Psychology.