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The Myth of Statistical Inference

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The Myth of Statistical Inference/ by Michael C. Acree.
作者:	Acree, Michael C.
面頁冊數:	XV, 448 p. 6 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Psychology, general. -
電子資源:	https://doi.org/10.1007/978-3-030-73257-8
ISBN:	9783030732578

The Myth of Statistical Inference
Acree, Michael C.

The Myth of Statistical Inference[electronic resource] /by Michael C. Acree. - 1st ed. 2021. - XV, 448 p. 6 illus.online resource.

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.

ISBN: 9783030732578

Standard No.: 10.1007/978-3-030-73257-8doiSubjects--Topical Terms:

668226
Psychology, general.

LC Class. No.: BF1-990

Dewey Class. No.: 150

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520 $a 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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