{"product_id":"data-analysis-a-bayesian-tutorial-9780198568315","title":"Data Analysis: A Bayesian Tutorial","description":"\u003cp\u003e • Author(s): Diana Noonan\u003cbr\u003e • Publisher: Oxford University Press\u003cbr\u003e • Publisher Imprint: Oxford University Press\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - Bayesian Analysis\u003c\/p\u003e\u003cp\u003eStatistics 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. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e 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. \u003cp\u003e\u003c\/p\u003e 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'.","brand":"Oxford University Press","offers":[{"title":"Hardcover","offer_id":47892028555415,"sku":"9780198568315","price":14014.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780198568315.webp?v=1781185510","url":"https:\/\/atlanticbooks.com\/products\/data-analysis-a-bayesian-tutorial-9780198568315","provider":"Atlantic Books","version":"1.0","type":"link"}