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Idioma: inglés

Editorial: Cambridge University Press, Cambridge, 2019

1316631141 / 9781316631140

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Paperback. Reflecting a sea change in how empirical research has been conducted over the past three decades, Foundations of Agnostic Statistics presents an innovative treatment of modern statistical theory for the social and health sciences. This book develops the fundamentals of what the authors call agnostic statistics, which considers what can be learned about the world without assuming that there exists a simple generative model that can be known to be true. Aronow and Miller provide the foundations for statistical inference for researchers unwilling to make assumptions beyond what they or their audience would find credible. Building from first principles, the book covers topics including estimation theory, regression, maximum likelihood, missing data, and causal inference. Using these principles, readers will be able to formally articulate their targets of inquiry, distinguish substantive assumptions from statistical assumptions, and ultimately engage in cutting-edge quantitative empirical research that contributes to human knowledge. This book provides a rigorous but accessible treatment of modern statistical methodology for researchers in the social and health sciences. It provides readers with the mathematical tools to critically engage with cutting-edge statistical methods. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Título
Foundations of Agnostic Statistics (Paperback)
Autor
Peter M. Aronow
Editorial
Cambridge University Press, Cambridge
Año de publicación
2019
Estado
new
Encuadernación
Paperback
Idioma
inglés
ISBN 10
1316631141
ISBN 13
9781316631140

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