Data Reduction And Error Analysis For The Physical Sciences

Data Reduction And Error Analysis For The Physical Sciences

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The Purpose Of This Book Is To Provide An Introduction To The Concepts Of Statistical Analysis Of Data For Students At The Undergraduate And Graduate Level, And To Provide Tools For Data Reduction And Error Analysis Commonly Required In The Physical Sciences. The Presentation Is Developed From A Practical Point Of View, Including Enough Derivation To Justify The Results, But Emphasizing Methods Of Handling Data More Than Theory. The Text Provides A Variety Of Numerical And Graphical Techniques. Computer Programs That Support These Techniques Will Be Available On An Accompanying Website In Both Fortran And C++.

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Frequently Asked Questions

  • Q: What is the main focus of 'Data Reduction and Error Analysis for the Physical Sciences'? A: The book primarily focuses on the concepts of statistical analysis of data, emphasizing practical methods for data reduction and error analysis relevant to the physical sciences.
  • Q: Who is the author of this book? A: The author of 'Data Reduction and Error Analysis for the Physical Sciences' is Philip Bevington.
  • Q: What edition of the book is available? A: This book is in its 3rd edition, published on July 23, 2002.
  • Q: How many pages does the book contain? A: The book contains a total of 336 pages.
  • Q: What type of binding does this book have? A: The book is available in paperback binding.
  • Q: What condition is the book in? A: The book is listed as being in 'Very Good' condition.
  • Q: Are there any accompanying resources for this book? A: Yes, the book includes computer programs that support the techniques discussed, available on an accompanying website in both Fortran and C++.
  • Q: Is this book suitable for undergraduate students? A: Yes, the book is designed for both undergraduate and graduate students interested in statistical analysis in the physical sciences.
  • Q: What topics are covered in this book? A: Topics include statistical analysis, data reduction techniques, and error analysis methods, with a practical approach to handling data.
  • Q: Can I expect graphical techniques to be included in this book? A: Yes, the text provides a variety of numerical and graphical techniques for data analysis.