Data Analysis
A Bayesian Tutorial. For Scientists and Engineers
(Sprache: Englisch)
Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis.
This text is intended...
This text is intended...
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Klappentext zu „Data Analysis “
Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis. This text is intended as a tutorial guide for senior undergraduates and research students in science and engineering. After explaining the basic principles of Bayesian probability theory, their use is illustrated with a variety of examples ranging from elementary parameter estimation to image
processing. Other topics covered include reliability analysis, multivariate optimization, least-squares and maximum likelihood, error-propagation, hypothesis testing, maximum entropy and experimental design.
The Second Edition of this successful tutorial book contains a new chapter on extensions to the ubiquitous least-squares procedure, allowing for the straightforward handling of outliers and unknown correlated noise, and a cutting-edge contribution from John Skilling on a novel numerical technique
for Bayesian computation called 'nested sampling'.
Inhaltsverzeichnis zu „Data Analysis “
- 1: Sivia: The Basics
- 2: Sivia: Parameter Estimation I
- 3: Sivia: Parameter Estimation II
- 4: Sivia: Model Selection
- 5: Sivia: Assigning Probabilities
- 6: Sivia: Non-parametric Estimation
- 7: Sivia: Experimental Design
- 8: Sivia: Least-Squares Extensions
- 9: Skilling: Nested Sampling
- 10: Skilling: Quantification
- Appendices
- Bibliography
Autoren-Porträt von D. S. Sivia
Devinderjit Singh SiviaRutherford Appleton Laboratory
Chilton
Oxon
OX11 5DJ
John Skilling
Maximum Entropy Data Consultants
42 Southgate Street
Bury St Edmonds
Suffolk
IP33 2AZ
Bibliographische Angaben
- Autor: D. S. Sivia
- 2006, 2Rev ed., XI, 189 Seiten, 68 Schwarz-Weiß-Abbildungen, mit Abbildungen, Maße: 15,6 x 23,4 cm, Kartoniert (TB), Englisch
- Verlag: Oxford University Press
- ISBN-10: 0198568320
- ISBN-13: 9780198568322
Sprache:
Englisch
Rezension zu „Data Analysis “
One of the strengths of this book is the author's ability to motivate the use of Bayesian methods through simple yet effective examples. Katie St. Clair MAA Reviews
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