Scientific Reasoning: The Bayesian Approach

Howson, Colin

ISBN 10: 0812690842 / ISBN 13: 9780812690842

Editore: Open Court Publishing Co ,U.S., 1990

Riguardo questo articolo

This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:0812690842.

Codice articolo 4323962

Dati bibliografici

• Titolo: Scientific Reasoning: The Bayesian Approach
• Editore: Open Court Publishing Co ,U.S.
• Data di pubblicazione: 1990
• Lingua: Inglese
• ISBN 10: 0812690842
• ISBN 13: 9780812690842
• Rilegatura: Brossura
• Condizione: Fair
• Peso: 600 grammi
• Cataloghi dei venditori:
  • Science & Technology

Descrizione articolo

Riassunto

This book gives a clear comprehensive explanation and defense of the Bayesian account of scientific reasoning. It will be read not only by philosophers and theorists of scientific method but also by working scientists, uneasy about the justification of the statistical methods now in use. Since the book is designed to explain to the uninitiated the controversial theories it discusses, it can serve as an introduction to the role of statistics and probability in science. Confronting the problems of induction and the confirmation of scientific theories, Howson and Urbach reject the "objectivist ideal" and the fashionable non-probabilistic standard of scientific worth (Popper, Lakatos, Fisher, Neyman and Pearson). The authors contend that "scientific reasoning is reasoning in accordance with the calculus of probabilities", and (using nothing more advanced that elementary algebra) they give a concise introduction to this calculus. Howson and Urbach examine the way in which scientists actually appeal to probability arguments, and explain the "classical" approach to statistical inference, which they demonstrate to be full of flaws. They then present the Bayesian approach, showing that it avoids the difficulties of the classical system. Finally, they reply to all the major criticisms levelled against the Bayesian method, especially the charge that it is "too subjective".