Monte Carlo Statistical Methods Christian P. Robert

ISBN: 9780387987071

Published:

Hardcover

507 pages


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Monte Carlo Statistical Methods  by  Christian P. Robert

Monte Carlo Statistical Methods by Christian P. Robert
| Hardcover | PDF, EPUB, FB2, DjVu, talking book, mp3, ZIP | 507 pages | ISBN: 9780387987071 | 8.39 Mb

Until the advent of powerful and accessible computing methods, the experimenter was often confronted with a difficult choice. Either describe an accurate model of a phenomenon, which would usually preclude the computation of explicit answers, orMoreUntil the advent of powerful and accessible computing methods, the experimenter was often confronted with a difficult choice. Either describe an accurate model of a phenomenon, which would usually preclude the computation of explicit answers, or choose a standard model which would allow this computation, but may not be a close representation of a realistic model.

This dilemma is present in many branches of statistical applications, for example in electrical engineering, aeronautics, biology, networks, and astronomy. Markov chain Monte Carlo methods have been developed to provide realistic models.



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