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

Leemis, Lawrence

Item

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

Leemis, Lawrence

Abstract

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