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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description | 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. |
doi_str_mv | 10.3390/books978-3-0365-0883-2 |
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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. 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subjects | a priori procedure Bayesian confidence intervals economics pedagogy equivalence estimation History History and Archaeology hypothesis testing market failure minimum-effect model averaging model specification model testing n/a non-inferiority null hypothesis significance testing p-value p-values point-null hypothesis testing pretest estimator profit maximization regression analysis replication crisis replications reporting results (p-values) t-statistic teaching of econometrics zero probability paradox |
title | Towards a New Paradigm for Statistical Evidence |
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