Towards a New Paradigm for Statistical Evidence

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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Detalles Bibliográficos
Otros Autores: Bhatti, Muhammad Ishaq (Editor), Kim, Jae H. (Otro)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Materias:
Humanities
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
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009654932006719
Descripción
Sumario: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.
Descripción Física:1 electronic resource (104 p.)

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