Introduction to Bayesian Statistics
โ Scribed by Professor Dr.-Ing., Dr.-Ing. E.h. mult. Karl-Rudolf Koch (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2007
- Tongue
- English
- Leaves
- 257
- Edition
- 2
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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. โฆ There is a good treatment of Bayesian Analysis of Linear Models โฆ . The references are very interesting โฆ by a group of scientists of whose work many of us in the Statistical profession may not be aware. The strength of the book lies in its coverage, careful mathematics and many contemporary applications." (Jayanta K. Ghosh, International Statistical Review, Vol. 76 (1), 2008)
โฆ Table of Contents
Front Matter....Pages I-XII
Introduction....Pages 1-1
Probability....Pages 3-62
Parameter Estimation, Confidence Regions and Hypothesis Testing....Pages 63-83
Linear Model....Pages 85-127
Special Models and Applications....Pages 129-192
Numerical Methods....Pages 193-234
Back Matter....Pages 235-249
โฆ Subjects
Geophysics/Geodesy; Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences; Geographical Information Systems/Cartography; Image Processing and Computer Vision
๐ SIMILAR VOLUMES
There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most introductory statistics texts only present frequentist methods. In Bayesian statistics the rules of probability are used to make inferences about the parameter. Prior information about the parameter an