Error and the Growth of Experimental Knowledge

Author: Deborah G. Mayo

Publisher: University of Chicago Press

ISBN: 9780226511979

Category: Mathematics

Page: 493

View: 7537

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This text provides a critique of the subjective Bayesian view of statistical inference, and proposes the author's own error-statistical approach as an alternative framework for the epistemology of experiment. It seeks to address the needs of researchers who work with statistical analysis.

Error and Inference

Recent Exchanges on Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science

Author: Deborah G. Mayo,Aris Spanos

Publisher: Cambridge University Press

ISBN: 0521180252

Category: Business & Economics

Page: 419

View: 1008

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Explores the nature of error and inference, drawing on exchanges on experimental reasoning, reliability, and the objectivity of science.

Palgrave Handbook of Econometrics

Volume 2: Applied Econometrics

Author: T. Mills,K. Patterson

Publisher: Springer

ISBN: 0230244408

Category: Business & Economics

Page: 1385

View: 5626

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Following theseminal Palgrave Handbook of Econometrics: Volume I , this second volume brings together the finestacademicsworking in econometrics today andexploresapplied econometrics, containing contributions onsubjects includinggrowth/development econometrics and applied econometrics and computing.

Wie kleine Kinder schlau werden

selbständiges Lernen im Alltag

Author: John Caldwell Holt

Publisher: N.A

ISBN: 9783407228550

Category:

Page: 232

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Ausgehend von der Beobachtung des kindlichen Spielens erläutert der Autor, wie Kinder denken und lernen.

Statistical Inference as Severe Testing

How to Get Beyond the Statistics Wars

Author: Deborah G. Mayo

Publisher: Cambridge University Press

ISBN: 1107054133

Category: Mathematics

Page: 474

View: 1474

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

Science and Information Theory

Author: Leon Brillouin

Publisher: Courier Corporation

ISBN: 9780486439181

Category: Science

Page: 351

View: 7263

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A classic source for understanding the connections between information theory and physics, this text was written by one of the giants of 20th-century physics and is appropriate for upper-level undergraduates and graduate students. Topics include the principles of coding, coding problems and solutions, the analysis of signals, a summary of thermodynamics, thermal agitation and Brownian motion, and thermal noise in an electric circuit. A discussion of the negentropy principle of information introduces the author's renowned examination of Maxwell's demon. Concluding chapters explore the associations between information theory, the uncertainty principle, and physical limits of observation, in addition to problems related to computing, organizing information, and inevitable errors.