English Version
館藏查詢
他校館藏
  
   系統號碼555166
   書刊名The signal and the noise : why so many predictions fail--but some don't /
   主要著者Silver, Nate, 1978-
   出版項New York : Penguin Press, 2012.
   索書號CB158.S54 2012
   ISBN9781594204111
   標題Forecasting.
Forecasting-Methodology.
Forecasting-History.
Bayesian statistical decision theory.
Knowledge, Theory of.
History.-fast-(OCoLC)fst01411628
   
    
   分享▼ 
網站搜尋           

 資料類型狀態應還日期預約人數館藏地索書號條碼號
找書圖書在架上0總館
西文圖書區 Shelf
CB158 .S54 2012W098726

內容簡介The author has built an innovative system for predicting baseball performance, predicted the 2008 election within a hair's breadth, and has become a national sensation as a blogger. Drawing on his own groundbreaking work, he examines the world of prediction.;Human beings have to make plans and strategize for the future. As the pace of our lives becomes faster and faster, we have to do so more often and more quickly. But are our predictions any good? Is there hope for improvement? In this book the author examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy, ever-increasing data. Many predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. We are wired to detect a signal, and we mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the prediction paradox: the more humility we have about our ability to make predictions, and the more we are willing to learn from our mistakes, the more we can turn information into knowledge and data into foresight. The author examines both successes and failures to determine what more accurate forecasters have in common. In keeping with his own aim to seek truth from data, he visits innovative forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. Even when their innovations are modest, we can learn from their methods. How can we train ourselves to think probabilistically, as they do? How can the insights of an eighteenth-century Englishman unlock the twenty-first-century challenges of global warming and terrorism? How can being smarter about the future help us make better decisions in the present?

讀者書評

尚無書評,


  
Copyright © 2007 元智大學(Yuan Ze University) ‧ 桃園縣中壢市 320 遠東路135號 ‧ (03)4638800