{"title":"Mevin B. Hooten","description":"\u003cp\u003eWelcome to the Mevin B. Hooten collection—a comprehensive journey into the fascinating world of scientific exploration and understanding. Mevin B. Hooten is a well-known figure in the realm of statistical science, particularly celebrated for his contributions to Bayesian statistical methods. His works are invaluable resources for students, researchers, and professionals seeking to deepen their understanding of modern statistical approaches in the context of science and nature.\u003c\/p\u003e\n\n\u003cp\u003eThis collection includes significant works such as \u003cem\u003eBayesian Models\u003c\/em\u003e, which demystify complex statistical concepts with clarity and precision. Hooten’s writing is renowned for its approachable style, breaking down intricate theories into easily digestible insights. This makes the collection an essential tool for those interested in the application of statistical methods to real-world scientific problems.\u003c\/p\u003e\n\n\u003cp\u003eWhether you're delving into ecological modelling or exploring advanced data analysis techniques, Mevin B. Hooten’s books will equip you with the knowledge and skills necessary to excel in the field. Embark on a learning journey that blends rigorous scientific inquiry with practical, applied understanding through the works of Mevin B. Hooten.\u003c\/p\u003e","products":[{"product_id":"bayesian-models-by-mevin-b-hooten-9780691250120","title":"Bayesian Models","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cstrong\u003eA fully updated and expanded edition of the essential primer on Bayesian modelling for ecologists\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp\u003eUniquely suited to deal with complexity in a statistically coherent way, Bayesian modelling has become an indispensable tool for ecological research. This book teaches the basic principles of mathematics and statistics needed to apply Bayesian models to the analysis of ecological data, using language non-statisticians can understand. Deemphasising computer coding in favour of a clear treatment of model building, it starts with a definition of probability and proceeds step-by-step through distribution theory, likelihood, simple Bayesian models, and hierarchical Bayesian models. Now revised and expanded, \u003ci\u003eBayesian Models\u003c\/i\u003e enables students and practitioners to gain new insights from ecological models and data properly tempered by uncertainty.\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eCovers the basic rules of probability needed to model diverse types of ecological data in the Bayesian framework.\u003c\/li\u003e\n    \u003cli\u003eShows how to write proper mathematical expressions for posterior distributions using directed acyclic graphs as templates.\u003c\/li\u003e\n    \u003cli\u003eExplains how to use the powerful Markov chain Monte Carlo algorithm to find posterior distributions of model parameters, latent states, and missing data.\u003c\/li\u003e\n    \u003cli\u003eTeaches how to check models to ensure they meet the assumptions of model-based inference.\u003c\/li\u003e\n    \u003cli\u003eDemonstrates how to make inferences from single and multiple Bayesian models.\u003c\/li\u003e\n    \u003cli\u003eProvides worked problems for practising and strengthening modelling skills.\u003c\/li\u003e\n    \u003cli\u003eFeatures new chapters on spatial models and modelling missing data.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"NewSouth Books","offers":[{"title":"Default Title","offer_id":46997930705132,"sku":"9780691250120","price":125.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/2488343482434.jpg?v=1763198825"}],"url":"https:\/\/bookhero.pro\/collections\/mevin-b-hooten.oembed","provider":"Book Hero","version":"1.0","type":"link"}