☰

Probability & Statistics

An Introduction to Probability and Inductive Logic

Not Available / Digital Item Condition: USED (All books are in used condition)

Condition - Very Good
The item shows wear from consistent use, but it remains in good condition and functions properly. Item may arrive with damaged packaging or be repackaged. It may be marked, have identifying markings on it, or have minor cosmetic damage. It may also be missing some parts/accessories or bundled items.

An Introduction to Probability and Inductive Logic

Country	USA
Author	Ian Hacking
Binding	Kindle Edition
EISBN	9780511443183
Format	Kindle eBook
Label	Cambridge University Press
Manufacturer	Cambridge University Press
NumberOfPages	322
PublicationDate	2001-07-02
Publisher	Cambridge University Press
ReleaseDate	2001-07-02
Studio	Cambridge University Press

You might also like...

The Emergence of Probability: A Philosophical Study of Early Ideas about Probability, Induction and Statistical Inference (Cambridge Series on Statistical & Probabilistic Mathematics)

The Emergence of Probability: A Philosophical Study of Early Ideas about Probability, Induction and Statistical Inference (Cambridge Series on Statistical & Probabilistic Mathematics)

Bayes Theorem Examples: A Visual Guide For Beginners

Bayes Theorem Examples: A Visual Guide For Beginners

Linear Regression And Correlation: A Beginner's Guide

Linear Regression And Correlation: A Beginner's Guide

Philosophical Devices: Proofs, Probabilities, Possibilities, and Sets

Philosophical Devices: Proofs, Probabilities, Possibilities, and Sets

Against the Gods: The Remarkable Story of Risk

Against the Gods: The Remarkable Story of Risk

The Enigma of Reason

The Enigma of Reason

The Taming of Chance (Ideas in Context)

The Taming of Chance (Ideas in Context)

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Bayes' Theorem Examples: A Visual Introduction For Beginners

Bayes' Theorem Examples: A Visual Introduction For Beginners