
Statistical Noise or Valuable Information (English, Clemens Pirker)
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Statistical Noise or Valuable Information by Clemens Pirker is listed under Gabler Verlag on BookBajar. Full details, specifications and reader reviews are below.
Book Details
Publisher
Gabler Verlag
Language
English
ISBN-13
9783834917621
ISBN-10
3834917621
Author
Clemens Pirker
About the Book
Clemens Pirker addresses the frequent doubt among researchers on how to deal with extreme and outlying observations in data analysis. He draws on various scientific domains to explore possible handling alternatives and the relevance of the phenomenon. The dissertation concludes that authors may leverage their insights from given data by reporting those cases and their influence on the results.
ISBN: 9783834917621
ISBN-13: 9783834917621
ISBN-10: 3834917621
Reader's Guide
What This Book Covers
- ·The main subject matter of Statistical Noise or Valuable Information
- ·Ideas and detail relevant to Gabler Verlag
- ·Context that helps make sense of the material as a whole
Best Suited For
Readers with an interest in Gabler Verlag, from students to hobbyists.
Why It Stands Out
- ·Ships as a genuine physical copy, checked before dispatch
- ·Covered by BookBajar's 15-day return window
Frequently Asked Questions
What is the price of Statistical Noise or Valuable Information?
Statistical Noise or Valuable Information starts from ₹5462 at BookBajar. Available in Paperback.
Who is the author of Statistical Noise or Valuable Information?
Clemens Pirker is the author of Statistical Noise or Valuable Information. Browse more books by Clemens Pirker on BookBajar.
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What is the ISBN of Statistical Noise or Valuable Information?
Statistical Noise or Valuable Information has ISBN 9783834917621 (ISBN-10: 3834917621). Use this to confirm you're ordering the exact edition listed here.
What can I expect from Statistical Noise or Valuable Information?
About the Book Clemens Pirker addresses the frequent doubt among researchers on how to deal with extreme and outlying observations in data analysis. He draws on various scientific domains to explore possible handling alternatives and the relevance of the phenomenon.
Product ID: isbn-9783834917621
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