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dc.contributor.authorBrandt, Siegmund
dc.date.accessioned2020-05-25T09:11:54Z
dc.date.available2020-05-25T09:11:54Z
dc.date.issued2014
dc.identifier.isbn978-3-319-03762-2
dc.identifier.urihttp://ir.mksu.ac.ke/handle/123456780/6244
dc.description.abstractFor the present edition, the book has undergone two major changes: Its appearance was tightened significantly and the programs are now written in the modern programming language Java. Tightening was possible without giving up essential contents by expedient use of the Internet. Since practically all users can connect to the net, it is no longer necessary to reproduce program listings in the printed text. In this way, the physical size of the book was reduced considerably. The Java language offers a number of advantages over the older programming languages used in earlier editions. It is object-oriented and hence also more readable. It includes access to libraries of user-friendly auxiliary routines, allowing for instance the easy creation of windows for input, output, or graphics. For most popular computers, Java is either preinstalled or can be downloaded from the Internet free of charge. (See Sect. 1.3 for details.) Since by now Java is often taught at school, many students are already somewhat familiar with the language. Our Java programs for data analysis and for the production of graphics, including many example programs and solutions to programming problems, v can be downloaded from the page I am grateful to Dr. Tilo Stroh for numerous stimulating discussions and technical help. The graphics programs are based on previous common work.en_US
dc.language.isoen_USen_US
dc.publisherSpringeren_US
dc.titleData Analysisen_US
dc.title.alternativeStatistical and Computational Methods for Scientists and Engineersen_US
dc.typeBooken_US


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