{"title":"James M. Curran","description":"\u003cp\u003eWelcome to our collection by James M. Curran, a distinguished author in the realm of \u003cem\u003eScience \u0026amp; Nature\u003c\/em\u003e. James M. Curran is renowned for his ability to demystify complex statistical concepts, making them accessible to readers from all walks of life. His works are essential reading for anyone interested in understanding the intricacies of data and statistics.\u003c\/p\u003e\n\n\u003cp\u003eOne of the standout titles in this collection is \"Introduction to Bayesian Statistics.\" This book offers a comprehensive guide to the Bayesian approach to statistics, an increasingly popular methodology in various scientific disciplines. Curran's engaging style brings clarity to topics that often seem daunting, providing readers with the tools they need to apply Bayesian principles effectively.\u003c\/p\u003e\n\n\u003cp\u003eWhether you're a student, a professional, or simply a curious mind eager to enhance your statistical knowledge, James M. Curran's works provide invaluable insights. Explore his collection today and embark on a journey through the fascinating world of statistical analysis.\u003c\/p\u003e","products":[{"product_id":"introduction-to-bayesian-statistics-by-william-m-bolstad-9781118091562","title":"Introduction to Bayesian Statistics","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cb\u003e...this edition is useful and effective in teaching Bayesian inference at both elementary and intermediate levels. It is a well-written book on elementary Bayesian inference, and the material is easily accessible. It is both concise and timely, and provides a good collection of overviews and reviews of important tools used in Bayesian statistical methods.\u003c\/b\u003e\u003c\/p\u003e\n\n\u003cp\u003eThere is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most introductory statistics texts only present frequentist methods. Bayesian statistics has many important advantages that students should learn about if they are going into fields where statistics will be used.\u003c\/p\u003e\n\n\u003cp\u003eIn this third edition, four newly-added chapters address topics that reflect the rapid advances in the field of Bayesian statistics. The authors continue to provide a Bayesian treatment of introductory statistical topics, such as scientific data gathering, discrete random variables, robust Bayesian methods, and Bayesian approaches to inference for discrete random variables, binomial proportions, Poisson, and normal means, and simple linear regression.\u003c\/p\u003e\n\n\u003cp\u003eIn addition, more advanced topics in the field are presented in four new chapters: Bayesian inference for a normal with unknown mean and variance; Bayesian inference for a Multivariate Normal mean vector; Bayesian inference for the Multiple Linear Regression Model; and Computational Bayesian Statistics including Markov Chain Monte Carlo. The inclusion of these topics will facilitate readers' ability to advance from a minimal understanding of statistics to the ability to tackle topics in more applied, advanced-level books. Minitab macros and R functions are available on the book's related website to assist with chapter exercises.\u003c\/p\u003e\n\n\u003cp\u003e\u003ci\u003eIntroduction to Bayesian Statistics, Third Edition\u003c\/i\u003e also features:\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eTopics including the Joint Likelihood function and inference using independent Jeffreys priors and joint conjugate prior\u003c\/li\u003e\n  \u003cli\u003eThe cutting-edge topic of computational Bayesian Statistics in a new chapter, with a unique focus on Markov Chain Monte Carlo methods\u003c\/li\u003e\n  \u003cli\u003eExercises throughout the book that have been updated to reflect new applications and the latest software applications\u003c\/li\u003e\n  \u003cli\u003eDetailed appendices that guide readers through the use of R and Minitab software for Bayesian analysis and Monte Carlo simulations, with all related macros available on the book's website\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003ci\u003eIntroduction to Bayesian Statistics, Third Edition\u003c\/i\u003e is a textbook for upper-undergraduate or first-year graduate level courses on introductory statistics with a Bayesian emphasis. It can also be used as a reference work for statisticians who require a working knowledge of Bayesian statistics.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":46854613598444,"sku":"9781118091562","price":285.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/59809317ca0bef86eaa08424b4c30645.jpg?v=1759267535"}],"url":"https:\/\/bookhero.co.nz\/collections\/james-m-curran.oembed","provider":"Book Hero","version":"1.0","type":"link"}