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Michael Friendly - Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data - 9781498725835 - V9781498725835
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Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data

€ 112.76
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Description for Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data Mixed media product. .
An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and frequency data. It explains how to use graphical methods for exploring data, spotting unusual features, visualizing fitted models, and presenting results. The book is designed for advanced undergraduate and graduate students in the social and health sciences, epidemiology, economics, business, statistics, ... Read more

Product Details

Publisher
Taylor & Francis Inc United States
Number of pages
560
Format
Paperback
Publication date
2015
Series
Chapman & Hall/CRC Texts in Statistical Science
Condition
New
Number of Pages
544
Place of Publication
Portland, United States
ISBN
9781498725835
SKU
V9781498725835
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-2

About Michael Friendly
Michael Friendly is a professor of psychology, founding chair of the Graduate Program in Quantitative Methods, and an associate coordinator with the Statistical Consulting Service at York University. He earned a PhD in psychology from Princeton University, specializing in psychometrics and cognitive psychology. In addition to his research interests in psychology, Professor Friendly has broad experience in data analysis, statistics, ... Read more

Reviews for Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data
This is an excellent book, nearly encyclopedic in its coverage. I personally find it very useful and expect that many other readers will as well. The book can certainly serve as a reference. It could also serve as a supplementary text in a course on categorical data analysis that uses R for computation or-because so much statistical detail is provided-even ... Read more

Goodreads reviews for Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data


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