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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.
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
This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. In Part III, the authors address the... Læs mere
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
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.
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.
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.
Most of the methods in this text apply to all regression models, but special... Læs mere
This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers... Læs mere
This book is intended to equip the reader with concept knowledge, on multilinear regression methods, and develop technical skills, while solving problems with the R... Læs mere