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, 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.
- ISBN10 038798707X
- ISBN13 9780387987071
- Publish Date August 1999
- Publish Status Out of Print
- Out of Print 22 March 2008
- Publish Country US
- Imprint Springer-Verlag New York Inc.
- Format Hardcover
- Pages 528
- Language English