Data Analysis

Statistical and Computational Methods for Scientists and Engineers
2014. Buch. xx, 523 S.: 134 s/w-Abbildungen, 27 s/w-Tabelle, Bibliographien. Hardcover
Springer ISBN 978-3-319-03761-5
Format (B x L): 17,8 x 25,4 cm
Gewicht: 1205 g
In englischer Sprache
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.



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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