Introduction to Bayesian Statistics
| Author | : | |
| Rating | : | 4.62 (618 Votes) |
| Asin | : | 3642091830 |
| Format Type | : | paperback |
| Number of Pages | : | 249 Pages |
| Publish Date | : | 2016-07-29 |
| Language | : | English |
DESCRIPTION:
Comprehensive and compact While I have to admit not being a statistics expert next to having just started out to leave frequentist shores - "very likely" for good ;-) - I have to admire to concise and compact presentation by Prof. Koch. Let me put Koch's book within the context of a set of three introductory books on Bayesian statistics and data analysis:My Bayesian literature - after a very careful process
From the reviews of the second edition: "This is a well-written introduction to Bayesian Analysis that contains many applications to Geodesy and Engineering at the cutting edge of these topics. The strength of the book lies in its coverage, careful mathematics and many contemporary applications." (Jayanta K. Ghosh, International Statistical Review, Vol. The references are very interesting … by a group of scientists of whose work many of us in the Statistical profession may not be aware. … There is a good treatment of Bayesian Analysis of Linear Models … . 76 (1), 2008)
The book compares traditional and Bayesian methods with the rules of probability presented in a logical way allowing an intuitive understanding of random variables and their probability distributions to be formed.. It does so in a simple manner that is easy to comprehend. This book presents Bayes’ theorem, the estimation of unknown parameters, the determination of confidence regions and the derivation of tests of hypotheses for the unknown parameters