Format:
1 Online-Ressource (xviii, 298 pages)
,
Illustrationen
ISBN:
9781316831762
,
1316831760
Content:
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
Note:
Title from publisher's bibliographic system (viewed on 17 Jan 2019)
Additional Edition:
ISBN 9781107178915
Additional Edition:
ISBN 9781316631140
Additional Edition:
Erscheint auch als Druck-Ausgabe Aronow, Peter M. Foundations of agnostic statistics Cambridge : Cambridge University Press, 2019 ISBN 9781107178915
Additional Edition:
ISBN 9781316631140
Language:
Undetermined
Keywords:
Quantitative Methode
;
Statistik
DOI:
10.1017/9781316831762
URL:
Volltext
(lizenzpflichtig)
URL:
Volltext
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