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The Myth of Statistical Inference / by Michael C. Acree

By: Acree, Michael C. , autor
Material type: materialTypeLabelE-bookSeries: (Behavioral Science and Psychology (SpringerNature-41168)); (Behavioral Science and Psychology (SpringerNature-43718)).Publisher: Cham : Springer International Publishing, 2021Edition: First edition 2021.Description: 1 recurso en línea (XV, 448 páginas) : 6 ilustraciones.ISBN: 9783030732578.Subject: Estadística matemáticaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
1. Synopsis, by way of autobiography -- 2. The philosophical and cultural context for the emergence of probability and statistical inference -- 3. Origin of the modern concept of probability -- 4. The classical theory of statistical inference -- 5. Nineteenth century developments in statistics -- 6.the frequency theory of probability -- 7. The fisher and neyman-pearson theories of statistical inference -- 8. Bayesian theories psychological research -- 9. Statistical inference in psychological and medical research -- 10. Recent work in probability and inference -- 11. Conclusions and the future of probability and statistical inference.
Abstract: This book proposes and explores the idea that the forced union of the aleatory and epistemic aspects of probability is a sterile hybrid, inspired and nourished for 300 years by a false hope of formalizing inductive reasoning, making uncertainty the object of precise calculation. Because this is not really a possible goal, statistical inference is not, cannot be, doing for us today what we imagine it is doing for us. It is for these reasons that statistical inference can be characterized as a myth. The book is aimed primarily at social scientists, for whom statistics and statistical inference are a common concern and frustration. Because the historical development given here is not merely anecdotal, but makes clear the guiding ideas and ambitions that motivated the formulation of particular methods, this book offers an understanding of statistical inference which has not hitherto been available. It will also serve as a supplement to the standard statistics texts. Finally, general readers will find here an interesting study with implications far beyond statistics. The development of statistical inference, to its present position of prominence in the social sciences, epitomizes a number of trends in Western intellectual history of the last three centuries, and the 11th chapter, considering the function of statistical inference in light of our needs for structure, rules, authority, and consensus in general, develops some provocative parallels, especially between epistemology and politics.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA276 2021 EB (Browse shelf(Opens below)) Acceso electrónico eBook.17122068
Total holds: 0

1. Synopsis, by way of autobiography -- 2. The philosophical and cultural context for the emergence of probability and statistical inference -- 3. Origin of the modern concept of probability -- 4. The classical theory of statistical inference -- 5. Nineteenth century developments in statistics -- 6.the frequency theory of probability -- 7. The fisher and neyman-pearson theories of statistical inference -- 8. Bayesian theories psychological research -- 9. Statistical inference in psychological and medical research -- 10. Recent work in probability and inference -- 11. Conclusions and the future of probability and statistical inference.

This book proposes and explores the idea that the forced union of the aleatory and epistemic aspects of probability is a sterile hybrid, inspired and nourished for 300 years by a false hope of formalizing inductive reasoning, making uncertainty the object of precise calculation. Because this is not really a possible goal, statistical inference is not, cannot be, doing for us today what we imagine it is doing for us. It is for these reasons that statistical inference can be characterized as a myth. The book is aimed primarily at social scientists, for whom statistics and statistical inference are a common concern and frustration. Because the historical development given here is not merely anecdotal, but makes clear the guiding ideas and ambitions that motivated the formulation of particular methods, this book offers an understanding of statistical inference which has not hitherto been available. It will also serve as a supplement to the standard statistics texts. Finally, general readers will find here an interesting study with implications far beyond statistics. The development of statistical inference, to its present position of prominence in the social sciences, epitomizes a number of trends in Western intellectual history of the last three centuries, and the 11th chapter, considering the function of statistical inference in light of our needs for structure, rules, authority, and consensus in general, develops some provocative parallels, especially between epistemology and politics.

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