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11%OFFJeffrey M. Stanton - Reasoning with Data: An Introduction to Traditional and Bayesian Methods Using R - 9781462530267 - V9781462530267
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Reasoning with Data: An Introduction to Traditional and Bayesian Methods Using R

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Description for Reasoning with Data: An Introduction to Traditional and Bayesian Methods Using R Paperback. Num Pages: 342 pages. BIC Classification: JMB; UFM. Category: (P) Professional & Vocational. Dimension: 254 x 178. .
Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. Throughout the text, simple commands in ... Read more

Product Details

Publisher
Guilford Publications
Format
Paperback
Publication date
2017
Condition
New
Weight
28g
Number of Pages
325
Place of Publication
New York, United States
ISBN
9781462530267
SKU
V9781462530267
Shipping Time
Usually ships in 10 to 12 working days
Ref
99-15

About Jeffrey M. Stanton
Jeffrey M. Stanton, PhD, is Associate Provost for Academic Affairs and Professor in the School of Information Studies at Syracuse University. Dr. Stanton's interests center on research methods, psychometrics, and statistics, with a particular focus on self-report techniques, such as surveys. He conduct research on a variety of substantive topics in organizational psychology, including the interactions of people and technology ... Read more

Reviews for Reasoning with Data: An Introduction to Traditional and Bayesian Methods Using R
Reasoning with Data takes a careful and principled approach to guiding readers gracefully from the traditional moorings of frequentist statistics into Bayesian analyses and the functionality and frontiers of the R platform. Stanton provides a range of clear explanations, examples, and practice exercises, fueled by his unbounded enthusiasm and rock-solid expertise. This book is an indispensable resource for undergraduate and ... Read more

Goodreads reviews for Reasoning with Data: An Introduction to Traditional and Bayesian Methods Using R


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