ISBN: 9780191546709

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 appr… Mehr…

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 experimentaldesign. 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'.; PDF; Scientific, Technical and Medical > Mathematics > Probability & statistics, OUP Oxford<

ISBN: 9780191546709

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 appr… Mehr…

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 experimentaldesign. 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'.; PDF; Scientific, Technical and Medical > Mathematics > Probability & statistics, OUP Oxford<

2006, ISBN: 9780191546709

A Bayesian Tutorial, eBooks, eBook Download (PDF), Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy th… Mehr…

A Bayesian Tutorial, eBooks, eBook Download (PDF), 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 experimentaldesign. 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'. [PU: OUP Oxford], Seiten: 264, OUP Oxford, 2006<

2006, ISBN: 9780191546709

A Bayesian Tutorial, eBooks, eBook Download (PDF), This is the second edition of the first tutorial book on Bayesian methods and maximum entropy aimed at senior undergraduates in science … Mehr…

A Bayesian Tutorial, eBooks, eBook Download (PDF), This is the second edition of the first tutorial book on Bayesian methods and maximum entropy 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 variety of problems in data analysis. [PU: OUP Oxford], Seiten: 264, OUP Oxford, 2006<

2006, ISBN: 9780191546709

A Bayesian Tutorial, eBooks, eBook Download (PDF), [PU: OUP Oxford], OUP Oxford, 2006