Titlebook: Maximum-Entropy and Bayesian Methods in Science and Engineering; Volume 2: Applicatio Gary J. Erickson,C. Ray Smith Book 1988 Kluwer Academ

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Sally A. Goldman,Ronald L. Rivestatified and the probability that for a theoretical concentration estimated on the basis of a predicted set of emissions the real concentration might exceed the maximum limit permited..It is of interest to point out that in order to estimate the concentration in each grid square, stochastic diffusion

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Ali Mohammad-Djafari,Guy Demoment cortical potential distribution and a transfer function which is a solution of the Helmholtz equation associated with an elementary source system. An approximation of the cortical distribution can be computed by discrete deconvolution. Finally, various simulation experiments on digital computer all

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Book 1988nterest in new areas that may offer new tools or insight to the reader or to stimulate work on pressing problems that appear to be ideally suited to the maximum-entropy or Bayesian method. These workshops and their proceedings could not have been brought to their final form without the support or he

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Maximum-Entropy and Bayesian Methods in Science and EngineeringVolume 2: Applicatio

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SETI, Radon Transforms, and Optimization,otype SETI hardware at Goldstone, outline a data analysis problem facing the Microwave Observing Project, and give some preliminary results that may prove useful in solution of the data analysis problem. You will not hear anything about how Bayesian probability theory and maximum entropy are being u

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Quantum Statistical Mechanics in Phase Space and the Classical Limit,ion of a system characterized by a given sharp value A of an observable Â, or by a given expectation value <Â> of the same observable, is discussed. It is shown that, in the limit ħ ® 0, the quantum description of the system reduces to that given by the corresponding classical microcanonical or cano