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Reasoning with data : an introduction to traditional and Bayesian statistics using R

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서명/저자사항Reasoning with data : an introduction to traditional and Bayesian statistics using R/ Jeffrey M. Stanton.
개인저자Stanton, Jeffrey M.,1961-.
형태사항1 online resource.
기타형태 저록Print version: Stanton, Jeffrey M., 1961- Reasoning with data. New York : The Guilford Press, [2017] 9781462530267
ISBN9781462530298
146253029X




서지주기Includes bibliographical references and index.
요약Engaging 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 R demonstrate essential data analysis skills using real-data examples. The companion website provides annotated R code for the book's examples, in-class exercises, supplemental reading lists, and links to online videos, interactive materials, and other resources.--
해제Provided by Publisher.
일반주제명Bayesian statistical decision theory --Problems, exercises, etc.
Bayesian statistical decision theory --Data processing.
Mathematical statistics --Problems, exercises, etc.
Mathematical statistics --Data processing.
R (Computer program language)
Bayesian statistical decision theory.
Bayesian statistical decision theory --Data processing.
Mathematical statistics.
Mathematical statistics --Data processing.
R (Computer program language)
MATHEMATICS / Applied
MATHEMATICS / Probability & Statistics / General
Statistics as Topic.
Bayes Theorem.
언어영어
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