The Signal and the Noise: why so many predictions fail-but some don't-image

The Signal and the Noise: why so many predictions fail-but some don't

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Subject Area: Mathematics, Political Science, Philosophy, Social Science, Business & Economics Item Width: 5.4 in Item Weight: 16.6 Oz Subject: Probability & Statistics / General, Probability & Statistics / Bayesian Analysis, Political Process / Campaigns & Elections, Future Studies width: 5.4 in Number of Pages: 576 Pages Item Length: 8.4 in Format: Hardcover Author: Nate Silver Type: Textbook ISBN: 9780143125082 Publisher: Penguin Publishing Group Language: English Item Height: 1.1 in Publication Name: The Signal and the Noise: why so many predictions fail-but some d Publication Year: 2015 Educational Level: Adult & Further Education Personalized: No height: 1.1 in

Description

The Signal and the Noise: why so many predictions fail-but some don't. "Signal and the Noise: Why So Many Predictions Fail" by Nate Silver is a comprehensive textbook that delves into the reasons behind failed predictions in various fields such as business, economics, mathematics, social science, philosophy, and political science. Published in 2015 by Penguin Publishing Group, this hardcover book explores the intricacies of political processes, campaigns, and elections, as well as probability and statistics. With 576 pages, it offers valuable insights for adult learners and those in further education seeking to understand the complexities of predicting outcomes in a wide range of disciplines. "Signal and the Noise: Why So Many Predictions Fail" by Nate Silver is a comprehensive textbook that delves into the reasons behind failed predictions in various fields such as business, economics, mathematics, social science, philosophy, and political science. Published in 2015 by Penguin Publishing Group, this hardcover book explores the intricacies of political processes, campaigns, and elections, as well as probability and statistics. With 576 pages, it offers valuable insights for adult learners and those in further education seeking to understand the complexities of predicting outcomes in a wide range of disciplines.

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