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Towards a New Paradigm for Statistical Evidence
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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.
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Keywords
- a priori procedure
- bayesian
- confidence intervals
- economics pedagogy
- equivalence
- estimation
- Humanities
- 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
- thema EDItEUR::N History and Archaeology::NH History
- zero probability paradox
Links
DOI: 10.3390/books978-3-0365-0883-2Editions