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Smoothing Spline ANOVA Models (Springer Series in Statistics)
Nonparametric function estimation with stochastic data, otherwise known as smoothing, has been studied by several generations of statisticians. Assisted by the ample computing power in today's servers, desktops, and laptops, smoothing methods have been finding their ways into everyday data analysis by practitioners. While scores of... | | R For Dummies
Mastering R has never been easier
Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2nd Edition provides a quick and painless way to master all the R you'll ever need. Requiring no prior programming experience and packed with tons of practical examples,... | | Statistical Analysis: Microsoft Excel 2010
There was no reason I shouldn’t have already written
a book about statistical analysis using Excel.
But I didn’t, although I knew I wanted to. Finally, I
talked Pearson into letting me write it for them.
Be careful what you ask for. It’s been a struggle, but
at last I’ve got it out of my system, and... |
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Beginning R: An Introduction to Statistical Programming
Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, read in data files, and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data visualization,... | | Doing Bayesian Data Analysis: A Tutorial with R and BUGS
There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS, is for first year graduate students or advanced undergraduates and provides... | | |
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