William & Mary
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 makes this an appropriate text for a class in statistical modeling.
Part 1: Regression
Chapter 1: Simple Linear Regression
Chapter 2: Inference in Simple Linear Regression
Chapter 3: Topics in Regression
Part II: Survival Analysis
Chapter 4: Probability Models in Survival Analysis
Chapter 5: Statistical Methods in Survival Analysis
Chapter 6: Topics in Survival Analysis
Part III: Time Series Analysis
Chapter 7: Basic Methods in Time Series Analysis
Chapter 8: Modeling in Time Series Analysis
Chapter 9: Topics in Time Series Analysis
Leemis, Lawrence, "Statistical Modeling: Regression, Survival Analysis, and Time Series Analysis" (2023). Open Education Resources (OER). 3.