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Friday, 22 August 2014

Using R for Data Analysis and Graphics


This book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from real-world research, are accompanied by commentary on what is done and why. The companion website has code and datasets, allowing readers to reproduce all analyses, along with solutions to selected exercises and updates.

Assuming basic statistical knowledge and some experience with data analysis (but not R), the book is ideal for research scientists, final-year undergraduate or graduate-level students of applied statistics, and practicing statisticians. It is both for learning and for reference.

Title Using R for Data Analysis and Graphics
Author(s) J H Maindonald
Publisher: Australian National University (2008)
Language: English
eBook: http://cran.r-project.org/doc/contrib/usingR.pdf

Applied Stochastic Processes in Science and Engineering


This book introduces modern concepts of applied stochastic processes is written for a broad range of applications in diverse areas of engineering and the sciences. Emphasis is on clarifying the basic principles supporting current prediction techniques.

This book is designed as an introduction to the ideas and methods used to formulate mathematical models of physical processes in terms of random functions. Written for a senior undergraduate course offered to students with a suitably mathematical background.

Title Applied Stochastic Processes in Science and Engineering
Author(s) Matt Scott
Publisher: University of Waterloo (2013)
Language: English
eBook: http://www.math.uwaterloo.ca/~mscott/Little_Notes.pdf

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