logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Causality in the Sciences by Phyllis McKay Illari, Federica Russo, Jon Williamson ISBN 9780199574131, 0199574138

  • SKU: EBN-5303284
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

5.0

13 reviews
Instant download (eBook) Causality in the Sciences after payment.
Authors:Phyllis McKay Illari, Federica Russo, Jon Williamson
Pages:816 pages.
Year:2011
Editon:1
Publisher:Oxford University Press
Language:english
File Size:6.95 MB
Format:pdf
ISBNS:9780199574131, 0199574138
Categories: Ebooks

Product desciption

(Ebook) Causality in the Sciences by Phyllis McKay Illari, Federica Russo, Jon Williamson ISBN 9780199574131, 0199574138

There is a need for integrated thinking about causality, probability and mechanisms in scientific methodology. Causality and probability are long-established central concepts in the sciences, with a corresponding philosophical literature examining their problems. On the other hand, the philosophical literature examining mechanisms is not long-established, and there is no clear idea of how mechanisms relate to causality and probability. But we need some idea if we are to understand causal inference in the sciences: a panoply of disciplines, ranging from epidemiology to biology, from econometrics to physics, routinely make use of probability, statistics, theory and mechanisms to infer causal relationships.These disciplines have developed very different methods, where causality and probability often seem to have different understandings, and where the mechanisms involved often look very different. This variegated situation raises the question of whether the different sciences are really using different concepts, or whether progress in understanding the tools of causal inference in some sciences can lead to progress in other sciences. The book tackles these questions as well as others concerning the use of causality in the sciences.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products