Statistical Methodologies / / edited by Jan Peter Hessling.
Statistical 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 th...
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Place / Publishing House: | London : : IntechOpen,, 2020. |
Year of Publication: | 2020 |
Language: | English |
Physical Description: | 1 online resource (158 pages) |
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245 | 0 | 0 | |a Statistical Methodologies / |c edited by Jan Peter Hessling. |
264 | 1 | |a London : |b IntechOpen, |c 2020. | |
300 | |a 1 online resource (158 pages) | ||
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588 | |a Description based on online resource; title from PDF title page (IntechOpen, viewed June 23, 2023). | ||
520 | |a Statistical 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. | ||
650 | 0 | |a Statistics |x Methodology. | |
776 | |z 1-83880-688-1 | ||
700 | 1 | |a Hessling, Jan Peter, |e editor. | |
906 | |a BOOK | ||
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