Statistical Inference as Severe Testing

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Beschreibung

Unlock today's statistical controversies and irreproducible results by viewing statistics as probing and controlling errors.

Über den Autor

Deborah G. Mayo is Professor Emerita in the Department of Philosophy at Virginia Tech. Author of Error and the Growth of Experimental Knowledge (1996), she won the 1998 Lakatos Prize for an outstanding contribution to philosophy of science. She directed the NEH Summer Seminar (1999) on Philosophy of Experimental Inference. She co-founded, with G. W. Chatfield, the Fund for Experimental Reasoning, Reliability and Objectivity and Rationality (E.R.R.O.R) in 2006 which has co-sponsored 10 conferences, workshops and distinguished lecture series. She's a visiting professor at the London School of Economics and Political Science, Centre for the Philosophy of Natural and Social Science (CPNSS) (2007-present).

Inhaltsverzeichnis

Preface; Excursion 1. How to Tell What's True about Statistical Inference: Tour I. Beyond probabilism and performance; Tour II. Error probing tools vs. logics of evidence; Excursion 2. Taboos of Induction and Falsification: Tour I. Induction and confirmation; Tour II. Falsification, pseudoscience, induction; Excursion 3. Statistical Tests and Scientific Inference: Tour I. Ingenious and severe tests; Tour II. It's the methods, stupid; Tour III. Capability and severity: deeper concepts; Excursion 4. Objectivity and Auditing: Tour I. The myth of 'the myth of objectivity'; Tour II. Rejection fallacies: whose exaggerating what?; Tour III. Auditing: biasing selection effects and randomization; Tour IV. More auditing: objectivity and model checking; Excursion 5. Power and Severity: Tour I. Power: pre-data and post-data; Tour II. How not to corrupt power; Tour III. Deconstructing the N-P vs. Fisher debates; Excursion 6. (Probabilist) Foundations Lost, (Probative) Foundations Found: Tour I. What ever happened to Bayesian foundations?; Tour II. Pragmatic and error statistical Bayesians; Souvenir (Z) farewell; References; Index.

Erscheinungsjahr:	2018
Fachbereich:	Wahrscheinlichkeitstheorie
Genre:	Mathematik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Seiten:	500
Inhalt:	Kartoniert / Broschiert
ISBN-13:	9781107664647
ISBN-10:	1107664640
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Mayo, Deborah G.
Hersteller:	Cambridge University Pr.
Maße:	228 x 156 x 29 mm
Von/Mit:	Deborah G. Mayo
Erscheinungsdatum:	20.09.2018
Gewicht:	0,784 kg

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