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This book introduces R using SAS and SPSS terms with which you are already familiar. The programs and practice datasets are available for download.The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon.
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R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages.
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and the building of the Three “M’s” Maple, Mathematica and Matlab.We intend to persuade that Mathematica and other similar tools are... Læs mere
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This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. In Part III, the authors address the... Læs mere
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When finished, you will be able to use R in conjunction with Stata, or separately, to import data, manage and transform it, create publication quality graphics, and perform basic... Læs mere
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Issues of numerical stability, accurate approximation, computational complexity, and mathematical modeling share the limelight in a broad yet rigorous overview of those parts of numerical analysis most relevant to statisticians.
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John Chambers has been the principal designer of the S language since its beginning, and in 1999 received the ACM System Software award for S, the only statistical software to receive this award.
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This book introduces applied wavelet analysis through the S-PLUS software system. In addition to wavelets, a whole range of related signal processing techniques such as wavelet packets, local cosine analysis, and matching pursuits are covered.
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Most of the methods in this text apply to all regression models, but special... Læs mere
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This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers... Læs mere
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Much of current ecology research and conservation addresses problems across landscapes and regions, focusing on spatial patterns and... Læs mere