{"product_id":"data-analysis-a-bayesian-tutorial-2-e-p","title":"Data Analysis A Bayesian Tutorial 2\/e P","description":"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''.","brand":"MediaPlace","offers":[{"title":"Default Title","offer_id":57320076280190,"sku":"NW9780198568322","price":42.4,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1379\/1261\/files\/9780198568322.jpg?v=1778238000","url":"https:\/\/mediaplace.com\/products\/data-analysis-a-bayesian-tutorial-2-e-p","provider":"MediaPlace","version":"1.0","type":"link"}