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????Describing novel mathematical concepts for recommendation engines, Realtime Data Mining: Self-Learning Techniques for... Læs mere
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This textbook teaches crucial statistical methods to answer research questions using a unique range of statistical software programs,... Læs mere
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This Festschrift in honour of Paul Deheuvels’ 65th birthday compiles recent research results in the area between mathematical statistics and probability theory with a special emphasis on limit theorems.
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This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones.
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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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This comprehensive text covers the use of SAS for epidemiology and public health research. SAS is widely used in the fields of epidemiology and public... Læs mere
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The techniques and methods presented for knowledge elicitation, model construction and verification, modeling techniques and... Læs mere
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Essentials of Monte Carlo Simulation focuses on the fundamentals of Monte Carlo methods using basic computer... Læs mere
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This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics.
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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.