Authors:
- Provides rigorous mathematical treatment of practical statistical methods for data analysis
- Serves as a graduate textbook and reference guide for those interested in the fundamentals of data analysis
- Useful for all fields of science and engineering requiring an understanding of statistical methods applied to experimental data
- Includes example programs and solutions to programming problems which are written in the modern computer language Java
- Modernizes the content in the previous edition and shortens the length of the text
- Includes supplementary material: sn.pub/extras
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Table of contents (13 chapters)
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Front Matter
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Back Matter
About this book
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.
Keywords
- Analysis of Variance
- Computer-generated Random Numbers
- Data Analysis Textbook
- Data Analysis using Java
- Error Propagation
- Fundamentals of Data Analysis
- Graduate-Level Data Analysis
- Introduction to Statistical Methods
- Java Programs for Data Analysis
- Least Squares
- Linear Regression
- Matrix Algebra
- Matrix Calculation
- Monte Carlo Methods
- Polynomial Regression
- Singular-Value Analysis
- Statistical Distributions
- Statistical Error
- Testing Statistical Hypotheses
- Time Series Analysis
Authors and Affiliations
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Department of Physics, University of Siegen, Siegen, Germany
Siegmund Brandt
About 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.
Bibliographic Information
Book Title: Data Analysis
Book Subtitle: Statistical and Computational Methods for Scientists and Engineers
Authors: Siegmund Brandt
DOI: https://doi.org/10.1007/978-3-319-03762-2
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer Nature Switzerland AG 2014
Hardcover ISBN: 978-3-319-03761-5Published: 26 February 2014
Softcover ISBN: 978-3-319-34779-0Published: 30 April 2017
eBook ISBN: 978-3-319-03762-2Published: 14 February 2014
Edition Number: 4
Number of Pages: XX, 523
Number of Illustrations: 134 b/w illustrations
Topics: Mathematical Methods in Physics, Mathematical and Computational Engineering, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Math. Applications in Chemistry, Numerical and Computational Physics, Simulation