Paramètres
- 200pages
- 7 heures de lecture
En savoir plus sur le livre
This is the first book on the maximum entropy and Bayesian methods aimed at senior undergraduates in science and engineering. It takes the mystery out of statistics by showing how a few fundamental rules can be used to tackle a wide variety of problems in data analysis. After explaining thebasic 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. As a logical and unified approach to the subject of data analysis, with a self-contained tutorial approach, this work will be valued by instructors and students alike.
Achat du livre
Data Analysis, Devinderjit Singh Sivia
- Langue
- Année de publication
- 1996
- Reliure
- (souple),
- État du livre
- Bon
- Prix
- 5,99 €
Modes de paiement
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- Titre
- Data Analysis
- Sous-titre
- A Bayesian Tutorial
- Langue
- Anglais
- Auteurs
- Devinderjit Singh Sivia
- Éditeur
- Oxford University Press
- Publié
- 1996
- Format
- souple
- Pages
- 200
- ISBN10
- 0198518897
- ISBN13
- 9780198518891
- Séries
- Mots clés
- Manuels et guides, Science
- Description
- This is the first book on the maximum entropy and Bayesian methods aimed at senior undergraduates in science and engineering. It takes the mystery out of statistics by showing how a few fundamental rules can be used to tackle a wide variety of problems in data analysis. After explaining thebasic 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. As a logical and unified approach to the subject of data analysis, with a self-contained tutorial approach, this work will be valued by instructors and students alike.