Statistical Methodologies

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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Formato: Online
Idioma:inglês
Publicado em: IntechOpen 2021
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collection Directory of Open Access Books
description 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.
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institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
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publisher IntechOpen
publisherStr IntechOpen
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spelling doab-20.500.12854ir-673022024-04-04T14:41:14Z Statistical Methodologies Peter Hessling, Jan Probability & statistics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics 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. 2021-04-20T16:09:41Z 2021-04-20T16:09:41Z 2020 book ONIX_20210420_9781789239980_2661 9781789239980 9781789239973 9781838806880 https://directory.doabooks.org/handle/20.500.12854/67302 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/7680/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.77486 10.5772/intechopen.77486 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781789239980 9781789239973 9781838806880 IntechOpen 158 open access
spellingShingle Probability & statistics
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
Statistical Methodologies
title Statistical Methodologies
title_full Statistical Methodologies
title_fullStr Statistical Methodologies
title_full_unstemmed Statistical Methodologies
title_short Statistical Methodologies
title_sort statistical methodologies
topic Probability & statistics
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
topic_facet Probability & statistics
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
url ONIX_20210420_9781789239980_2661