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Anotace knihy

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 optimisation, 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'.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Probability & statistics

• Plný název: Data Analysis
• Podnázev: A Bayesian Tutorial
• Autor: Devinderjit Sivia, John Skilling
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 260
• EAN: 9780198568315
• ISBN: 0198568312
• ID: 04527882
• Nakladatelství: Oxford University Press
• Hmotnost: 524 g
• Rozměry: 240 × 163 × 22 mm
• Datum vydání: 01. June 2006

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