Towards a New Paradigm for Statistical Evidence

• Autore: Bhatti Muhammad Ishaq
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (104 p.)
• Soggetto topico: Humanities
• Soggetto non controllato: a priori procedure; Bayesian; confidence intervals; economics pedagogy; equivalence; estimation; 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
• Persona (resp. second.): KimJae H; BhattiMuhammad Ishaq
• Sommario/riassunto: 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.
• Titolo autorizzato: Towards a New Paradigm for Statistical Evidence
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557640803321
• Lo trovi qui: Univ. Federico II