Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference. Dani Gamerman, Chapman & Hall, London, 1997. No. of pages: xiii+245. Price: £24.95. ISBN 0-412-81820-5
✍ Scribed by Elja Arjas
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 49 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0277-6715
No coin nor oath required. For personal study only.
✦ Synopsis
The level of mathematics used is rather variable. The authors state (p. 10) &the expectations are E(xN )" and E(s)" ', without ever de"ning expectation. Matrix notation is used for two relatively short sections on response surface designs (pp. 169}173) and general block designs (pp. 221}240), but not elsewhere. This leaves a feeling of unevenness.
The last chapter has full analyses, with SAS input commands and output, for a number of examples. I would have found it more useful if they had been the examples from the earlier text, but they are di!erent examples, framed as examination questions rather than as explorations of data.