Results 271 to 280 of about 2,996,210 (293)
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Probabilities of Conditionals and Conditional Probabilities
The Philosophical Review, 1976Abstract In this paper, the view that probabilities of conditionals are conditional probabilities is rejected on the grounds that there is no satisfactory way of interpreting a conditional connective such that the probabilities of conditionals will equal appropriate conditional probabilities.
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Probability and Probability Distributions
2014The concept of probability is relevant to experiments that have some uncertain outcomes. These are the situations in which, despite every effort to maintain fixed conditions, some variation of the result in repeated trials of the experiment is unavoidable.
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Primary Care: Clinics in Office Practice, 1995
This article examines the principles of probability revision and four different ways of obtaining post-test probabilities: the hypothetical cohort method, likelihood ratios and odds, the Nomogram, and precalculation. The authors then show where pre-test probabilities can be obtained, and then how to interpret multiple tests.
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This article examines the principles of probability revision and four different ways of obtaining post-test probabilities: the hypothetical cohort method, likelihood ratios and odds, the Nomogram, and precalculation. The authors then show where pre-test probabilities can be obtained, and then how to interpret multiple tests.
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Probability and Probability Distribution
2017The theory of probability and statistics underlies all quantitative assessments relevant to pathology. Probability is a concept that occurs due to randomness. A random event or experiment has two main components of interest: the first is the “outcome” which is the result of the event that is being recorded. The second is “parameter” which is a constant
Amir Momeni +2 more
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Synthese, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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The Probability of a Probability
Hospital Practice, 1990J P, Kassirer, R I, Kopelman
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Are Subjective Probabilities Probabilities?
1974While it certainly has proved expedient to describe people’s behavior in terms of probabilities, it is not clear whether, to what extent, or under what conditions, it is admissable to identify actual behavior with some reasonably well-fitting probabilistic description of it. What the authors call the confusion problem arises where such admissibility is
Gerard de Zeeuw, Willem A. Wagenaar
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Synthese, 2002
Conventional Decision Theory takes the expected value of an act \(A\) having outcomes \(0\) in the set \(\mathbf{O}\) as \[ \mathbf{EV}(A) = \sum_{O \in \mathbf{O}}{{\mathbf{PROB}}(O/A)}. \] This doesn't always work. For example, suppose your choice is between smoking and not smoking, but that both a propensity to cancer and the desire to smoke are the
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Conventional Decision Theory takes the expected value of an act \(A\) having outcomes \(0\) in the set \(\mathbf{O}\) as \[ \mathbf{EV}(A) = \sum_{O \in \mathbf{O}}{{\mathbf{PROB}}(O/A)}. \] This doesn't always work. For example, suppose your choice is between smoking and not smoking, but that both a propensity to cancer and the desire to smoke are the
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2004
This chapter begins with a concise primer, or aide memoire, of probability theory. The fundamentals are recapitulated, drawing on the material of Chap. 4. Moments of distributions are reviewed. The theory of runs (successions of similar events preceded and succeeded by different events), which is useful for analysing nucleic acid sequences and series ...
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This chapter begins with a concise primer, or aide memoire, of probability theory. The fundamentals are recapitulated, drawing on the material of Chap. 4. Moments of distributions are reviewed. The theory of runs (successions of similar events preceded and succeeded by different events), which is useful for analysing nucleic acid sequences and series ...
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Probability and Probability Distributions
1972In Chapter 1 we showed that the science of statistics is concerned with the interpretation of experimental results from random systems. One of the most important tools used in the development of the subject is a branch of mathematics called the Theory of Probability.
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