Abstract
In setting up a probability model for a system under study, the modeler utilizes all available prior knowledge about the system to determine probability assignments to appropriate events. This knowledge may be obtained from systematic statistical study, or from mathematical deductions based on assumptions supported by experience or experiment, or, less formally, from the judgment of a decision maker. These probability assignments serve to determine a prior probability measure. The probability P(A) of an event A provides a measure of the likelihood of the occurrence of this event.
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© 1979 Education Development Center, Inc.
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Pfeiffer, P.E. (1979). Conditional Independence of Events. In: Conditional Independence in Applied Probability. Modules and Monographs in Undergraduate Mathematics and its Applications Project. Birkhäuser Boston. https://doi.org/10.1007/978-1-4612-6335-7_2
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DOI: https://doi.org/10.1007/978-1-4612-6335-7_2
Publisher Name: Birkhäuser Boston
Print ISBN: 978-1-4612-6337-1
Online ISBN: 978-1-4612-6335-7
eBook Packages: Springer Book Archive