An edition of Data analysis (1999)

Data Analysis

Statistical and Computational Methods for Scientists and Engineers

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Last edited by MARC Bot
November 12, 2020 | History
An edition of Data analysis (1999)

Data Analysis

Statistical and Computational Methods for Scientists and Engineers

  • 0 Ratings
  • 0 Want to read
  • 0 Currently reading
  • 0 Have read

This book bridges the gap between statistical theory and physcal experiment. It provides a thorough introduction to the statistical methods used in the experimental physical sciences and to the numerical methods used to implement them. The treatment emphasizes concise but rigorous mathematics but always retains its focus on applications. The reader is presumed to have a sound basic knowledge of differential and integral calulus and some knowledge of vectors and matrices (an appendix develops the vector and matrix methods used and provides a collection of related computer routines). After an introduction of probability, random variables, computer generation of random numbers (Monte Carlo methods) and impotrtant distributions (such as the biomial, Poisson, and normal distributions), the book turns to a discussion of statistical samples, the maximum likelihood method, and the testing of statistical hypotheses. The discussion concludes with the discussion of several important stistical methods: least squares, analysis of variance, polynomial regression, and analysis of tiem series. Appendices provide the necessary methods of matrix algebra, combinatorics, and many sets of useful algorithms and formulae. The book is intended for graduate students setting out on experimental research, but it should also provide a useful reference and programming guide for experienced experimenters. A large number of problems (many with hints or solutions) serve to help the reader test.

Publish Date
Publisher
Springer
Pages
523

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Previews available in: English

Edition Availability
Cover of: Data Analysis
Data Analysis: Statistical and Computational Methods for Scientists and Engineers
Apr 30, 2017, Springer
paperback
Cover of: Data Analysis
Data Analysis: Statistical and Computational Methods for Scientists and Engineers
2014, Springer International Publishing AG
in English
Cover of: Data Analysis
Data Analysis: Statistical and Computational Methods for Scientists and Engineers
Feb 15, 2014, Springer
hardcover
Cover of: Data Analysis
Data Analysis: Statistical and Computational Methods for Scientists and Engineers
Oct 06, 2011, Springer
paperback
Cover of: Data analysis
Data analysis: statistical and computational methods for scientists and engineers
1999, Springer
electronic resource : in English - 3rd ed.

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Book Details


Edition Notes

Source title: Data Analysis: Statistical and Computational Methods for Scientists and Engineers

Classifications

Library of Congress
QC5.53TA329-348TA640, QA273 .B86213 2014

The Physical Object

Format
hardcover
Number of pages
523

ID Numbers

Open Library
OL28118481M
ISBN 10
3319037617
ISBN 13
9783319037615
LCCN
2013957143

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
November 12, 2020 Edited by MARC Bot import existing book
October 10, 2020 Edited by ImportBot import existing book
August 3, 2020 Edited by ImportBot import existing book
May 20, 2020 Created by ImportBot Imported from amazon.com record.