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Convergence of Probability Measures
Revue de l'Institut International de Statistique / Review of the International Statistical Institute, 1969Convergence of Probability Measures. By P. Billingsley. Chichester, Sussex, Wiley, 1968. xii, 253 p. 9 1/4“. 117s.
J. F. C. Kingman, P. Billingsley
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Contiguity of Probability Measures
Australian Journal of Statistics, 1982SummaryThe notion of contiguity of probability measures is a very useful one, providing a generally applicable method of calculating the asymptotic power of a sequence of tests and thus a means of comparing competing tests. This paper attempts to give an account of the basic results of contiguity theory which is self‐contained and accessible to ...
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The Measurement of Qualitative Probability
Journal of Mathematical Psychology, 2000This essay presents necessary and sufficient conditions for representing a binary relation on a space of bounded random variables with a unique quantitative expectations operator. This result is used to provide a new characterization of qualitative probability. We also show that two distinct probability measures can induce the same qualitative ordering
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Measuring Probability Numeracy
2018Explores different batteries of questions to measure levels of probability numeracy, the ability of individuals to think in probabilistic terms and use probabilities effectively in everyday life.
Susann Rohwedder +2 more
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Time to add screening for financial hardship as a quality measure?
Ca-A Cancer Journal for Clinicians, 2021Cathy J Bradley +2 more
exaly
Thromboelastography: Measuring Statistical Probabilities
Seminars in Thrombosis and Hemostasis, 2012J A, Caprini +4 more
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Recurrence, Probability, Measure
2011In earlier chapters we studied the relationship between *******ukasiewicz logic and probability theory for continuously valued events, with particular reference to de Finetti’s coherence criterion, states, and the Kroupa–Panti theorem. This chapter is a brief excursion into three different domains of MV-algebraic probability and measure theory:
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2011
Do probabilists need measure theory? Measure theory provides the theoretical framework essential for the development of modern probability theory. Much of elementary probability theory can be carried through with only passing reference to underlying sample spaces, but the modern theory relies heavily on measure theory, following Kolmogorov's ...
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Do probabilists need measure theory? Measure theory provides the theoretical framework essential for the development of modern probability theory. Much of elementary probability theory can be carried through with only passing reference to underlying sample spaces, but the modern theory relies heavily on measure theory, following Kolmogorov's ...
openaire +1 more source