Statistical Modeling - Leemis, Lawrence Mark
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Statistical Modeling provides an introduction to regression, survival analysis, and time series analysis for students who have completed calculus-based courses in probability and mathematical statistics. The book uses the R language to fit statistical models, conduct Monte Carlo simulation experiments, and generate graphics. Over 300 exercises at the end of the chapters make this an appropriate text for a class in statistical modeling. This book is an open educational resource.

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Produktbeschreibung
Statistical Modeling provides an introduction to regression, survival analysis, and time series analysis for students who have completed calculus-based courses in probability and mathematical statistics. The book uses the R language to fit statistical models, conduct Monte Carlo simulation experiments, and generate graphics. Over 300 exercises at the end of the chapters make this an appropriate text for a class in statistical modeling. This book is an open educational resource.
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Autorenporträt
Lawrence Leemis, PhD, is a professor in the Department of Mathematics at The College of William & Mary.He has written nine books, won 12 teaching awards, and published over 100 journal articles, book chapters, and proceedings papers. He has consulted for severaldozen government, corporate, and non-profit entities.