Statistical Inference as Severe Testing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Inference as Severe Testing write by Deborah G. Mayo. This book was released on 2018-09-20. Statistical Inference as Severe Testing available in PDF, EPUB and Kindle. Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.
Statistical Inference as Severe Testing
Statistical Inference as Severe Testing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Inference as Severe Testing write by Deborah G. Mayo. This book was released on 2018-09-20. Statistical Inference as Severe Testing available in PDF, EPUB and Kindle. Unlock today's statistical controversies and irreproducible results by viewing statistics as probing and controlling errors.
Statistical Inference as Severe Testing
Statistical Inference as Severe Testing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Inference as Severe Testing write by Deborah G. Mayo. This book was released on 2018-09-20. Statistical Inference as Severe Testing available in PDF, EPUB and Kindle. Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.
Error and the Growth of Experimental Knowledge
Error and the Growth of Experimental Knowledge - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Error and the Growth of Experimental Knowledge write by Deborah G. Mayo. This book was released on 1996-07-15. Error and the Growth of Experimental Knowledge available in PDF, EPUB and Kindle. Preface1: Learning from Error 2: Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper 3: The New Experimentalism and the Bayesian Way 4: Duhem, Kuhn, and Bayes 5: Models of Experimental Inquiry 6: Severe Tests and Methodological Underdetermination7: The Experimental Basis from Which to Test Hypotheses: Brownian Motion8: Severe Tests and Novel Evidence 9: Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance10: Why You Cannot Be Just a Little Bit Bayesian 11: Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics12: Error Statistics and Peircean Error Correction 13: Toward an Error-Statistical Philosophy of Science ReferencesIndex Copyright © Libri GmbH. All rights reserved.
Bayesian Statistics for Beginners
Bayesian Statistics for Beginners - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bayesian Statistics for Beginners write by Therese M. Donovan. This book was released on 2019. Bayesian Statistics for Beginners available in PDF, EPUB and Kindle. This is an entry-level book on Bayesian statistics written in a casual, and conversational tone. The authors walk a reader through many sample problems step-by-step to provide those with little background in math or statistics with the vocabulary, notation, and understanding of the calculations used in many Bayesian problems.
