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Advanced Statistical Computing
This book is 90% completeLast updated on 2022-05-27
This book describes the algorithms and procedures used to fit statistical models to data. The material covered is taught in the Advanced Statistical Computing course in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.
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About
About the Book
The journey from statistical model to useful output has many steps, most of which are taught in other books and courses. The purpose of this book is to focus on one particular aspect of this journey: the development and implementation of statistical algorithms. It's often nice to think about statistical models and various inferential philosophies and techniques, but when the rubber meets the road, we need an algorithm and a computer program implementation to get the results we need from a combination of our data and our models. This book is about how we fit models to data and the algorithms that we use to do so. Examples are given using the R programming language.
Please note that this book is only available in PDF form. You can view the table of contents by downloading the free sample.
Author
About the Author
Roger D. Peng
Roger D. Peng is a Professor of Statistics and Data Sciences at the University of Texas at Austin. Previously, he was Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and the Co-Director of the Johns Hopkins Data Science Lab. He is the author of the popular book R Programming for Data Science and 10 other books on data science and statistics. Roger is a Fellow of the American Statistical Association and is the recipient of the Mortimer Spiegelman Award from the American Public Health Association, which honors a statistician who has made outstanding contributions to public health. Roger received a PhD in Statistics from the University of California, Los Angeles. His current research focuses on building analytic design theory for improving the quality of data analyses and on the development of statistical methods for addressing environmental health problems.
Episode 16
An Interview with Roger D. Peng
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Also by the Author
Also by the Author
R Programming for Data Science
The Art of Data Science
Exploratory Data Analysis with R
Executive Data Science
Report Writing for Data Science in R
The Data Science Salon
Conversations On Data Science
Mastering Software Development in R
Essays on Data Analysis
Time Series Analysis: A Brief Survey
Tidyverse Skills for Data Science in R
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