Buch, Englisch, 264 Seiten, Print PDF, Format (B × H): 161 mm x 240 mm, Gewicht: 558 g
Buch, Englisch, 264 Seiten, Print PDF, Format (B × H): 161 mm x 240 mm, Gewicht: 558 g
ISBN: 978-0-19-856831-5
Verlag: OUP Oxford
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'.
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Physik Physik Allgemein
- Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
Weitere Infos & Material
- 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
