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“Real Analysis 4th Edition by Halsey Royden, ISBN-13: 978-0131437470” has been added to your cart. View cart
Data Analysis: Statistical and Computational Methods for Scientists and Engineers 4th Edition, ISBN-13: 978-3319347790
Home Mathematics Data Analysis: Statistical and Computational Methods for Scientists and Engineers 4th Edition, ISBN-13: 978-3319347790
Developmental Mathematics 1st Edition by Robert Blitzer, ISBN-13: 978-0134268330
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Complex Variables and Applications 9th Edition by James Ward Brown, ISBN-13: 978-0073383170
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Data Analysis: Statistical and Computational Methods for Scientists and Engineers 4th Edition, ISBN-13: 978-3319347790

Rated 4.67 out of 5 based on 3 customer ratings
(3 customer reviews)

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Category: Mathematics Tags: Data Analysis 4th Edition, Data Analysis Statistical and Computational Methods for Scientists and Engineers, ISBN-13: 978-3319347790, Siegmund Brandt
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Description

Data Analysis: Statistical and Computational Methods for Scientists and Engineers, ISBN-13: 978-3319347790

[PDF eBook eTextbook]

  • Publisher: ‎ Springer; reprint of the original 4th ed. 2014 edition (April 30, 2017)
  • Language: ‎ English
  • 543 pages
  • ISBN-10: ‎ 3319347799
  • ISBN-13: ‎ 978-3319347790

The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory and practical problems. The concise mathematical treatment of the subject matter is illustrated by many examples and for the present edition a library of Java programs has been developed. It comprises methods of numerical data analysis and graphical representation as well as many example programs and solutions to programming problems.

The book is conceived both as an introduction and as a work of reference. In particular it addresses itself to students, scientists and practitioners in science and engineering as a help in the analysis of their data in laboratory courses, in working for bachelor or master degrees, in thesis work, and in research and professional work.

The programs (source code, Java classes, and documentation) and extensive appendices to the main text are available for free download from the book’s page at www.springer.com.

Contents

  • Probabilities. Random variables.
  • Random numbers and the Monte Carlo Method.
  • Statistical distributions (binomial, Gauss, Poisson). Samples. Statistical tests.
  • Maximum Likelihood. Least Squares. Regression. Minimization.
  • Analysis of Variance. Time series analysis.

Audience

The book is conceived both as an introduction and as a work of reference. In particular it addresses itself to students, scientists and practitioners in science and engineering as a help in the analysis of their data in laboratory courses, working for bachelor or master degrees, in thesis work, and in research and professional work.

The Author

Siegmund Brandt is Emeritus Professor of Physics at the University of Siegen. With his group he worked on experiments in elementary-particle physics at the research centers DESY in Hamburg and CERN in Geneva in which the analysis of the experimental data plays an important role. He is author or coauthor of textbooks which have appeared in ten languages.

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Reviews (3)

3 reviews for Data Analysis: Statistical and Computational Methods for Scientists and Engineers 4th Edition, ISBN-13: 978-3319347790

  1. Grace Mitchell (verified owner) – September 4, 2023

    Rated 5 out of 5

    Fast and easy experience, will definitely use again.

  2. William Sanders (verified owner) – July 27, 2024

    Rated 4 out of 5

    Fantastic experience, highly recommend!

  3. Emily Warren (verified owner) – August 7, 2024

    Rated 5 out of 5

    eBook delivered instantly, couldn’t ask for more.

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