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Non-Experimental Data, Hypothesis Testing, and the Likelihood Principle: A Social Science Perspective (Foundations and Trends® in Econometrics) - Tapa blanda
Sinopsis
Non-Experimental Data, Hypothesis Testing, and the Likelihood Principle: A Social Science Perspective argues that frequentist hypothesis testing - the dominant statistical evaluation paradigm in empirical research - is fundamentally unsuited for analysis of the non-experimental data prevalent in economics and other social sciences. Frequentist tests comprise incompatible repeated sampling frameworks that do not obey the Likelihood Principle (LP). For probabilistic inference, methods that are guided by the LP, that do not rely on repeated sampling, and that focus on model comparison instead of testing (e.g., subjectivist Bayesian methods) are better suited for passively observed social science data and are better able to accommodate the huge model uncertainty and highly approximative nature of structural models in the social sciences. In addition to formal probabilistic inference, informal model evaluation along relevant substantive and practical dimensions should play a leading role. The authors sketch the ideas of an alternative paradigm containing these elements.
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Non-Experimental Data, Hypothesis Testing, and the Likelihood Principle: A Social Science Perspective (Foundations and Trends(r) in Econometrics)
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Non-Experimental Data, Hypothesis Testing, and the Likelihood Principle
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Non-Experimental Data, Hypothesis Testing, and the Likelihood Principle: A Social Science Perspective (Foundations and Trends(r) in Econometrics)
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Non-Experimental Data, Hypothesis Testing, and the Likelihood Principle: A Social Science Perspective (Paperback or Softback)
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Non-Experimental Data, Hypothesis Testing, and the Likelihood Principle
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Non-Experimental Data, Hypothesis Testing, And The Likelihood Principle: A Social Science Perspective
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Non-Experimental Data, Hypothesis Testing, and the Likelihood Principle: A Social Science Perspective
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ISBN 13: 9781638283249
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Non-Experimental Data, Hypothesis Testing, and the Likelihood Principle
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now publishers Inc, US, 2024
ISBN 10: 1638283249
ISBN 13: 9781638283249
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Paperback. Condición: New. Non-Experimental Data, Hypothesis Testing, and the Likelihood Principle: A Social Science Perspective argues that frequentist hypothesis testing - the dominant statistical evaluation paradigm in empirical research - is fundamentally unsuited for analysis of the non-experimental data prevalent in economics and other social sciences. Frequentist tests comprise incompatible repeated sampling frameworks that do not obey the Likelihood Principle (LP). For probabilistic inference, methods that are guided by the LP, that do not rely on repeated sampling, and that focus on model comparison instead of testing (e.g., subjectivist Bayesian methods) are better suited for passively observed social science data and are better able to accommodate the huge model uncertainty and highly approximative nature of structural models in the social sciences. In addition to formal probabilistic inference, informal model evaluation along relevant substantive and practical dimensions should play a leading role. The authors sketch the ideas of an alternative paradigm containing these elements. Nº de ref. del artículo: LU-9781638283249
Cantidad disponible: Más de 20 disponibles
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Non-Experimental Data, Hypothesis Testing, and the Likelihood Principle
Publicado por
now publishers Inc, US, 2024
ISBN 10: 1638283249
ISBN 13: 9781638283249
Nuevo
Paperback
Librería: Rarewaves.com UK, London, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: New. Non-Experimental Data, Hypothesis Testing, and the Likelihood Principle: A Social Science Perspective argues that frequentist hypothesis testing - the dominant statistical evaluation paradigm in empirical research - is fundamentally unsuited for analysis of the non-experimental data prevalent in economics and other social sciences. Frequentist tests comprise incompatible repeated sampling frameworks that do not obey the Likelihood Principle (LP). For probabilistic inference, methods that are guided by the LP, that do not rely on repeated sampling, and that focus on model comparison instead of testing (e.g., subjectivist Bayesian methods) are better suited for passively observed social science data and are better able to accommodate the huge model uncertainty and highly approximative nature of structural models in the social sciences. In addition to formal probabilistic inference, informal model evaluation along relevant substantive and practical dimensions should play a leading role. The authors sketch the ideas of an alternative paradigm containing these elements. Nº de ref. del artículo: LU-9781638283249
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Non-Experimental Data, Hypothesis Testing, and the Likelihood Principle
Publicado por
now publishers Inc, US, 2024
ISBN 10: 1638283249
ISBN 13: 9781638283249
Nuevo
Paperback
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: New. Non-Experimental Data, Hypothesis Testing, and the Likelihood Principle: A Social Science Perspective argues that frequentist hypothesis testing - the dominant statistical evaluation paradigm in empirical research - is fundamentally unsuited for analysis of the non-experimental data prevalent in economics and other social sciences. Frequentist tests comprise incompatible repeated sampling frameworks that do not obey the Likelihood Principle (LP). For probabilistic inference, methods that are guided by the LP, that do not rely on repeated sampling, and that focus on model comparison instead of testing (e.g., subjectivist Bayesian methods) are better suited for passively observed social science data and are better able to accommodate the huge model uncertainty and highly approximative nature of structural models in the social sciences. In addition to formal probabilistic inference, informal model evaluation along relevant substantive and practical dimensions should play a leading role. The authors sketch the ideas of an alternative paradigm containing these elements. Nº de ref. del artículo: LU-9781638283249
Cantidad disponible: Más de 20 disponibles