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Scientific Inference: Learning from Data Hardcover – November 11, 2013

ISBN-13: 978-1107024823 ISBN-10: 110702482X Edition: 0th

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Product Details

  • Hardcover: 236 pages
  • Publisher: Cambridge University Press (November 11, 2013)
  • Language: English
  • ISBN-10: 110702482X
  • ISBN-13: 978-1107024823
  • Product Dimensions: 9.8 x 6.7 x 0.6 inches
  • Shipping Weight: 1.4 pounds (View shipping rates and policies)
  • Average Customer Review: 1.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #4,948,522 in Books (See Top 100 in Books)

Editorial Reviews

Book Description

Providing the knowledge and practical experience to begin analysing scientific data, this book is ideal for physical sciences students wishing to improve their data handling skills. Key concepts are developed through a combination of figures, worked examples, example computer code and case studies using real data.

About the Author

Simon Vaughan is a Reader in the Department of Physics and Astronomy, University of Leicester, where he has developed and runs a highly regarded course for final year physics students on the subject of statistics and data analysis.

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0 of 4 people found the following review helpful By Vic Dannon on March 28, 2014
Format: Hardcover Verified Purchase
The chi-squared test is stated with gross error. On page 146, formula (7.2), a random variable that has a chi-squared distribution is claimed to be the test statistics. It is NOT. there is no one clear example that would indicate to the author his gross error. The author leaves it all to computers, and gives up on any intuition that may save him from such errors. If I need an answer to a statistical question, I would avoid this book.
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