๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Introduction to Bayesian Statistics

โœ 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

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ 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. โ€ฆ There is a good treatment of Bayesian Analysis of Linear Models โ€ฆ . The references are very interesting โ€ฆ 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)

โœฆ 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

โœฆ Subjects


Geophysics/Geodesy; Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences; Geographical Information Systems/Cartography; Image Processing and Computer Vision


๐Ÿ“œ SIMILAR VOLUMES


Introduction to bayesian statistics
โœ William M. Bolstad ๐Ÿ“‚ Library ๐Ÿ“… 2004 ๐Ÿ› Wiley-Interscience ๐ŸŒ English

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