An Introduction to Probability and Inductive Logic Desk Examination Edition PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download An Introduction to Probability and Inductive Logic Desk Examination Edition PDF full book. Access full book title An Introduction to Probability and Inductive Logic Desk Examination Edition by Ian Hacking. Download full books in PDF and EPUB format.

An Introduction to Probability and Inductive Logic Desk Examination Edition

An Introduction to Probability and Inductive Logic Desk Examination Edition PDF Author: Ian Hacking
Publisher: Cambridge University Press
ISBN: 9780521005340
Category : Science
Languages : en
Pages : 0

Book Description
This is an introductory textbook on probability and induction written by one of the world's foremost philosophers of science. The book has been designed to offer maximal accessibility to the widest range of students (not only those majoring in philosophy) and assumes no formal training in elementary symbolic logic. It offers a comprehensive course covering all basic definitions of induction and probability, and it considers such topics as decision theory, Bayesianism, frequency ideas, and the philosophical problem of induction. The key features of the book are a lively and vigorous prose style; lucid and systematic organisation and presentation of the ideas; many practical applications; a rich supply of exercises drawing on examples from such fields as psychology, ecology, economics, bioethics, engineering, and political science; numerous brief historical accounts of how fundamental ideas of probability and induction developed; a full bibliography of further reading. Although designed primarily for courses in philosophy, the book could certainly be read and enjoyed by those in the social sciences (particularly psychology, economics, political science and sociology) or medical sciences (such as epidemiology) seeking a reader-friendly account of the basic ideas of probability and induction.