{"title":"William M. Bolstad","description":"\u003cp\u003eWelcome to our William M. Bolstad collection, where statistical insight meets clear, educational discourse. William M. Bolstad is a distinguished author renowned for his expertise in Bayesian statistics. His books serve as invaluable resources for anyone interested in diving deep into the world of statistics with an emphasis on Bayesian methods.\u003c\/p\u003e\n\n\u003cp\u003eOne of his most acclaimed works, \u003cem\u003eIntroduction to Bayesian Statistics\u003c\/em\u003e, provides readers with a comprehensive understanding of Bayesian theory and its practical applications. Whether you're a student, an educator, or a professional in the field of Science \u0026amp; Nature, Bolstad's books are designed to enhance your statistical literacy and analytical skills, making complex concepts accessible through clear explanations and engaging examples.\u003c\/p\u003e\n\n\u003cp\u003eExplore this collection to deepen your understanding of statistics and gain valuable insights into the Bayesian approach, appreciated for its flexibility and applicability across various scientific disciplines.\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\/william-m-bolstad.oembed","provider":"Book Hero","version":"1.0","type":"link"}