000			02245nam a2200349 4500
001			199132
010			_a078-1-107-66464-7
021			_aGB
090			_a199132
100			_a20241002d2018 km|y0engy50 ba
101	0		_aeng
102	0		_aGB _bCambridge
200		1	_aStatistical inference as severe testing : how to get beyond the statistics wars _fDeborah G. Mayo
210			_aCambridge University Press _cCambridge _d2018
215			_a486 p.
330			_aMounting 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. (Fonte: Cambridge University Press)
606	0		_aEstatistica e Matemt̀ica
606	0		_aInfern̊cia Estats̕tica
606	0		_aTestagem
606	0		_aAnl̀ise de Erro
606	0		_aInfern̊cia
606	0		_aFalsificaȯ̂
606	0		_aStatistics and mathematics
606	0		_aStatistical Inference
606	0		_aTesting
606	0		_aError Analysis
606	0		_aInference
606	0		_aFalsification
686			_a2240 - Estatistica e Matemt̀ica
686			_a2200 - Psicometria, Estats̕tica e Metodologia
700			_aRobertson _bS. Ian
856			_z Localizaȯ̂ do Documento _uhttps://catalogo.ispa.pt/opac/biblioteca/localizacao_doc/p2.htm