Towards a New Paradigm for Statistical Evidence

• Autore: Bhatti Muhammad Ishaq
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 electronic resource (104 p.)
• Soggetto topico: Humanities
• Soggetto non controllato: p-value; Bayesian; model specification; model testing; reporting results (p-values); replications; equivalence; minimum-effect; non-inferiority; point-null hypothesis testing; zero probability paradox; t-statistic; pretest estimator; model averaging; a priori procedure; null hypothesis significance testing; confidence intervals; p-values; estimation; hypothesis testing; replication crisis; profit maximization; market failure; teaching of econometrics; regression analysis; economics pedagogy
• 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