000			02106naaaa2200313uu 4500
001			https://directory.doabooks.org/handle/20.500.12854/67302
005			20220219214620.0
020			_aintechopen.77486
020			_a9781789239980
020			_a9781789239973
020			_a9781838806880
024	7		_a10.5772/intechopen.77486 _cdoi
041	0		_aEnglish
042			_adc
072		7	_aPBT _2bicssc
100	1		_aPeter Hessling, Jan _4edt
700	1		_aPeter Hessling, Jan _4oth
245	1	0	_aStatistical Methodologies
260			_bIntechOpen _c2020
300			_a1 electronic resource (158 p.)
506	0		_aOpen Access _2star _fUnrestricted online access
520			_aStatistical practices have recently been questioned by numerous independent authors, to the extent that a significant fraction of accepted research findings can be questioned. This suggests that statistical methodologies may have gone too far into an engineering practice, with minimal concern for their foundation, interpretation, assumptions, and limitations, which may be jeopardized in the current context. Disguised by overwhelming data sets, advanced processing, and stunning presentations, the basic approach is often intractable to anyone but the analyst. The hierarchical nature of statistical inference, exemplified by Bayesian aggregation of prior and derived knowledge, may also be challenging. Conceptual simplified studies of the kind presented in this book could therefore provide valuable guidance when developing statistical methodologies, but also applying state of the art with greater confidence.
540			_aCreative Commons _fhttps://creativecommons.org/licenses/by/3.0/ _2cc _4https://creativecommons.org/licenses/by/3.0/
546			_aEnglish
650		7	_aProbability & statistics _2bicssc
653			_aProbability & statistics
856	4	0	_awww.oapen.org _uhttps://mts.intechopen.com/storage/books/7680/authors_book/authors_book.pdf _70 _zDOAB: download the publication
856	4	0	_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/67302 _70 _zDOAB: description of the publication
999			_c45825 _d45825