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008			220115s2021 sz | s |||| 0|eng d
020			_a9783030732578
024	7		_a10.1007/978-3-030-73257-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _e _dES-MaUEC
050		4	_aQA276 _b2021 EB
100	1		_aAcree, Michael C. _eautor _9680653
245	1	4	_aThe Myth of Statistical Inference _cby Michael C. Acree
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XV, 448 páginas) _b6 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aBehavioral Science and Psychology (SpringerNature-41168)
490	0		_aBehavioral Science and Psychology (SpringerNature-43718)
505	0		_a1. 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.
520	3		_aThis 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.
988			_aSpringer_Psychology_2021
650		7	_2embne _9138936 _aEstadística matemática
776	0	8	_iPrinted edition: _z9783030732561
776	0	8	_iPrinted edition: _z9783030732585
776	0	8	_iPrinted edition: _z9783030732592
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-73257-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2022 _dz _eIG _zSI