Titlebook: Statistical Distributions in Scientific Work; Volume 4 — Models, S Charles Taillie,Ganapati P. Patil,Bruno A. Baldess Conference proceeding

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Euphonious

https://doi.org/10.1007/978-94-009-8549-0Finite; Variable; calculus; equation; function; theorem

TRACE

978-94-009-8551-3D. Reidel Publishing Company, Dordrecht, Holland 1981

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Statistical Distributions in Scientific Work978-94-009-8549-0Series ISSN 1389-2185

宿醉

1389-2185 Overview: 978-94-009-8551-3978-94-009-8549-0Series ISSN 1389-2185

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Statistical Predictive Distributionsin a number of other applications, particularly when modelling is of a complex nature. The purpose of this paper is to review the state of the art, first recalling the basic structure of the prediction problem, then highlighting more recent research developments, and discussing in some detail complex modelling with predictive distributions.

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Some Properties of the Log-Laplace Distribution by (λ/2) exp(−λ|y|), where −∞ < y < ∞ and λ > 0. The random variable X = exp(Y) is said to have the log-Laplace distribution. In this paper, motivated by the problem of extrapolation to low doses in dose response curves, we obtain an axiomatic characterization of the log-Laplace distribution.

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Compound Distributions Relevant to Life Testingund distributions capable of describing this situation in the univariate case were based on the exponential and the gamma distributions. This paper reports a bivariate study of these compound distributions.

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Distributions Associated with Neutrality Properties for Random Proportionsichlet. This paper reviews a number of results associating distributions with neutrality properties and obtains some generalizations when groups of proportions are neutral to other groups. Attempts to generate distributions for random proportions which are not neutral are also briefly reviewed.