Towards a New Paradigm for Statistical Evidence
Many scientists now widely agree that the current paradigm of statistical significance should be abandoned or largely modified. In response to these calls for change, a Special Issue of Econometrics (MDPI) has been proposed. This book is a collection of the articles that have been published in this...
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Format: | Electronic Book Chapter |
Language: | English |
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Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2021
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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100 | 1 | |a Bhatti, Muhammad Ishaq |4 edt | |
700 | 1 | |a Kim, Jae H. |4 edt | |
700 | 1 | |a Bhatti, Muhammad Ishaq |4 oth | |
700 | 1 | |a Kim, Jae H. |4 oth | |
245 | 1 | 0 | |a Towards a New Paradigm for Statistical Evidence |
260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2021 | ||
300 | |a 1 electronic resource (104 p.) | ||
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506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a Many scientists now widely agree that the current paradigm of statistical significance should be abandoned or largely modified. In response to these calls for change, a Special Issue of Econometrics (MDPI) has been proposed. This book is a collection of the articles that have been published in this Special Issue. These seven articles add new insights to the problem and propose new methods that lay a solid foundation for the new paradigm for statistical significance. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Humanities |2 bicssc | |
653 | |a p-value | ||
653 | |a Bayesian | ||
653 | |a model specification | ||
653 | |a model testing | ||
653 | |a reporting results (p-values) | ||
653 | |a replications | ||
653 | |a equivalence | ||
653 | |a minimum-effect | ||
653 | |a non-inferiority | ||
653 | |a point-null hypothesis testing | ||
653 | |a zero probability paradox | ||
653 | |a t-statistic | ||
653 | |a pretest estimator | ||
653 | |a model averaging | ||
653 | |a a priori procedure | ||
653 | |a null hypothesis significance testing | ||
653 | |a confidence intervals | ||
653 | |a p-values | ||
653 | |a estimation | ||
653 | |a hypothesis testing | ||
653 | |a replication crisis | ||
653 | |a profit maximization | ||
653 | |a market failure | ||
653 | |a teaching of econometrics | ||
653 | |a regression analysis | ||
653 | |a economics pedagogy | ||
653 | |a n/a | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/3811 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/76386 |7 0 |z DOAB: description of the publication |