“Statistical Modeling: A Fresh Approach” introduces and illuminates the statistical reasoning used in modern research throughout the natural and social sciences, medicine, government, and commerce. It emphasizes the use of models to untangle and quantify variation in observed data. By a deft and concise use of computing coupled with an innovative geometrical presentation of the relationship among variables, “A Fresh Approach” reveals the logic of statistical inference and empowers the reader to use and understand techniques such as analysis of covariance that appear widely in published research but are hardly ever found in introductory texts.
Recognizing the essential role the computer plays in modern statistics, “A Fresh Approach” provides a complete and self-contained introduction to statistical computing using the powerful (and free) statistics package R.
The “computational technique” sections for each chapter are located at http://mosaic-web.org/go/SM2-technique/. Providing them via an active web site allows us to keep them up to date with the popular mosaic package.
Project MOSAIC is a collaboration to strengthen connections between modeling, statistics, and computation in the undergraduate mathematics curriculum.
Exercises, tutorials, and other materials to support for the book are available at http://www.mosaic-web.org/StatisticalModeling. See our other books at project-mosaic-books.com.
The author, Daniel Kaplan, is DeWitt Wallace Professor of Mathematics, Statistics, and Computer Science at Macalester College. A winner of Macalester’s “Excellence in Teaching” award, he was also awarded the 2017 “Lifetime Achievement Award in Statistics Education” by the Consortium for the Advancement of Undergraduate Statistics Education (CAUSE).
Other books by the author:
Understanding Nonlinear Dynamics
Introduction to Scientific Computation and Programming
Data Computing
Modern
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