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Handbook of Design and Analysis of Experiments

Angela Dean, Max Morris, John Stufken, Derek Bingham
June 26, 2015

Handbook of Design and Analysis of Experiments provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook gives a unified treatment of a wide range of topics, covering the latest developments. This carefully edited collection of 25...

Spatio-Temporal Methods in Environmental Epidemiology

Gavin Shaddick, James V. Zidek
June 24, 2015

Teaches Students How to Perform Spatio-Temporal Analyses within Epidemiological Studies Spatio-Temporal Methods in Environmental Epidemiology is the first book of its kind to specifically address the interface between environmental epidemiology and spatio-temporal modeling. In response to the...

Healthcare Data Analytics

Chandan K. Reddy, Charu C. Aggarwal
June 23, 2015

At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear...

Measuring Statistical Evidence Using Relative Belief

Michael Evans
June 23, 2015

A Sound Basis for the Theory of Statistical Inference Measuring Statistical Evidence Using Relative Belief provides an overview of recent work on developing a theory of statistical inference based on measuring statistical evidence. It shows that being explicit about how to measure statistical...

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications

Vidyadhar S. Mandrekar, Leszek Gawarecki
June 23, 2015

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic properties connecting probabilistic notions. In particular, it studies Gaussian random fields using reproducing kernel Hilbert spaces (RKHSs). The book begins with...

Dynamic Documents with R and knitr, Second Edition

Yihui Xie
June 22, 2015

Quickly and Easily Write Dynamic Documents Suitable for both beginners and advanced users, Dynamic Documents with R and knitr, Second Edition makes writing statistical reports easier by integrating computing directly with reporting. Reports range from homework, projects, exams, books, blogs, and...

Empirical Likelihood Method in Survival Analysis

Mai Zhou
June 18, 2015

Add the Empirical Likelihood to Your Nonparametric Toolbox Empirical Likelihood Method in Survival Analysis explains how to use the empirical likelihood method for right censored survival data. The author uses R for calculating empirical likelihood and includes many worked out examples with the...

Reproducible Research with R and R Studio, Second Edition

Christopher Gandrud
June 11, 2015

All the Tools for Gathering and Analyzing Data and Presenting Results Reproducible Research with R and RStudio, Second Edition brings together the skills and tools needed for doing and presenting computational research. Using straightforward examples, the book takes you through an entire...

Mathematics and Archaeology

Juan A. Barcelo, Igor Bogdanovic
June 08, 2015

Although many archaeologists have a good understanding of the basics in computer science, statistics, geostatistics, modeling, and data mining, more literature is needed about the advanced analysis in these areas. This book aids archaeologists in learning more advanced tools and methods while also...

Introductory Adaptive Trial Designs: A Practical Guide with R

Mark Chang
June 08, 2015

All the Essentials to Start Using Adaptive Designs in No Time Compared to traditional clinical trial designs, adaptive designs often lead to increased success rates in drug development at reduced costs and time. Introductory Adaptive Trial Designs: A Practical Guide with R motivates newcomers to...

Parallel Computing for Data Science: With Examples in R, C++ and CUDA

Norman Matloff
June 04, 2015

Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic "n observations, p...

R and MATLAB

David E. Hiebeler
June 02, 2015

The First Book to Explain How a User of R or MATLAB Can Benefit from the Other In today’s increasingly interdisciplinary world, R and MATLAB® users from different backgrounds must often work together and share code. R and MATLAB® is designed for users who already know R or MATLAB and now need to...

Conferences

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