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Añadir al carritoCondición: New. pp. 543 Reprint edition NO-PA16APR2015-KAP.
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Añadir al carritoPaperback. Condición: Brand New. 4th reprint edition. 544 pages. 9.25x6.10x1.26 inches. In Stock.
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Añadir al carritoTaschenbuch. Condición: Neu. Data Analysis | Statistical and Computational Methods for Scientists and Engineers | Siegmund Brandt | Taschenbuch | xx | Englisch | 2017 | Springer | EAN 9783319347790 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Idioma: Inglés
Publicado por Springer International Publishing Apr 2017, 2017
ISBN 10: 3319347799 ISBN 13: 9783319347790
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 544 pp. Englisch.
Idioma: Inglés
Publicado por Springer International Publishing, 2017
ISBN 10: 3319347799 ISBN 13: 9783319347790
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides rigorous mathematical treatment of practical statistical methods for data analysisServes as a graduate textbook and reference guide for those interested in the fundamentals of data analysisUseful for all fields of science and engin.
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Añadir al carritoCondición: New. Print on Demand pp. 543.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 543.
Idioma: Inglés
Publicado por Springer, Springer Apr 2017, 2017
ISBN 10: 3319347799 ISBN 13: 9783319347790
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 544 pp. Englisch.