{"title":"Ellis Scharfenaker","description":"\u003cp\u003eEllis Scharfenaker’s works offer clear and practical guidance in the field of statistics, making complex concepts accessible to both students and professionals. Readers can expect a focus on applying statistical methods effectively, blending theory with real-world examples to enhance understanding.\u003c\/p\u003e\n\n\u003cp\u003eRooted in the \u003cem\u003eEducation \u0026amp; Reference\u003c\/em\u003e category, Scharfenaker’s books serve as valuable resources for those seeking to deepen their grasp of data analysis and research techniques. The writing emphasises clarity and utility, supporting learners in making statistics work confidently in diverse contexts.\u003c\/p\u003e","products":[{"product_id":"making-statistics-work-by-ellis-scharfenaker-9780231222044","title":"Making Statistics Work","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eConventional “frequentist” methods that dominate the field of statistics are generally inconsistent and liable to catastrophic failure in some contexts. These weaknesses have become particularly concerning in relation to crises of replicability and credibility in science. Two alternatives have been proposed to address these flaws—classical Bayesian inference and the principle of maximum entropy—but the connections between them remain controversial.\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003eMaking Statistics Work\u003c\/em\u003e presents a synthesis of information theory and Bayesian inference that addresses these fundamental problems. It provides a consistent, powerful, and flexible framework for data inference based on rigorous logic derived from first principles, allowing for new approaches to many of the unresolved questions of statistics. Duncan K. Foley and Ellis Scharfenaker illustrate the application of this framework and the reasoning behind it across a variety of important statistical problems, such as the inference underlying “gold standard” clinical trials, models of human behaviour employed in behavioural finance and psychology, analysis of macroeconomic policy, the relationship of classical probability to quantum physics, and the limitations of linear regression analysis.\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003eMaking Statistics Work\u003c\/em\u003e offers new insight into contentious topics, from problems of causality and confounding variables in randomised experimental trials to the foundations of Bayesian and frequentist probability theory.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":48147461275884,"sku":"9780231222044","price":35.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9780231222044-making-statistics-work.jpg?v=1786449465"}],"url":"https:\/\/bookhero.co.nz\/collections\/ellis-scharfenaker.oembed","provider":"Book Hero","version":"1.0","type":"link"}