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Statistical Modeling: Regression, Survival Analysis, and Time Series Analysis

Statistical Modeling: Regression, Survival Analysis, and Time Series Analysis - Paperback

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Availability:In StockContributor:Lawrence Mark LeemisPublish date:3/17/2023Pages:678
Languages:EnglishPublisher:Ascended IdeasISBN-13:9780982917435ISBN-10:982917430UPC:9780982917435Book Category:MathematicsBook Subcategory:Probability & StatisticsBook Topic:Regression Analysis, Time SeriesSize:10.00 x 7.00 x 1.36 inchesWeight:2.55Product ID:SC9Y4PTBJ7

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.


Languages:EnglishPublisher:Ascended IdeasISBN-13:9780982917435ISBN-10:982917430UPC:9780982917435Book Category:MathematicsBook Subcategory:Probability & StatisticsBook Topic:Regression Analysis, Time SeriesSize:10.00 x 7.00 x 1.36 inchesWeight:2.55Product ID:SC9Y4PTBJ7
Leemis, Lawrence Mark: - 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.
Publisher: Ascended Ideas

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