자료유형 | 단행본 |
---|---|
서명/저자사항 | Reasoning with data : an introduction to traditional and Bayesian statistics using R/ Jeffrey M. Stanton. |
개인저자 | Stanton, Jeffrey M.,1961-. |
형태사항 | 1 online resource. |
기타형태 저록 | Print version: Stanton, Jeffrey M., 1961- Reasoning with data. New York : The Guilford Press, [2017] 9781462530267 |
ISBN | 9781462530298 146253029X |
서지주기 | Includes bibliographical references and index. |
요약 | 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 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.-- |
해제 | Provided by Publisher. |
일반주제명 | Bayesian 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. |
언어 | 영어 |
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