8 PART FIVE: Other Regression Models CHAPTER TWELVE: Nonlinear Regression 12.1 Introduction 12.2 Concepts and Background Material 12.3 Methodology 12.4 Example — Michaelis‐Menten Enzyme Kinetics 12.5 Summary CHAPTER THIRTEEN: Models for Longitudinal and Nested Data 13.1 Introduction 13.2 Concepts and Background Material 13.3 Methodology 13.4 Example — Tumor Growth in a Cancer Study 13.5 Example — Unprovoked Shark Attacks in the United States 13.6 Summary CHAPTER FOURTEEN: Regularization Methods and Sparse Models 14.1 Introduction 14.2 Concepts and Background Material 14.3 Methodology 14.4 Example — Human Development Index 14.5 Summary
9 PART SIX: Nonparametric and Semiparametric Models CHAPTER FIFTEEN: Smoothing and Additive Models 15.1 Introduction 15.2 Concepts and Background Material 15.3 Methodology 15.4 Example — Prices of German Used Automobiles 15.5 Local and Penalized Likelihood Regression 15.6 Using Smoothing to Identify Interactions 15.7 Summary CHAPTER SIXTEEN: Tree‐Based Models 16.1 Introduction 16.2 Concepts and Background Material 16.3 Methodology 16.4 Examples 16.5 Trees for Other Types of Data 16.6 Summary
10 Bibliography
11 Index
List of Tables
1 Chapter 2Table 2.1: Variance inflation caused by correlation of predictors in a two‐pred...
2 Chapter 4Table 4.1: Total domestic grosses (in millions of dollars) for 2010 movies with
3 Chapter 6Table 6.1: Indicator variable codings for a one‐way ANOVA fit omitting the vari...Table 6.2: Effect codings for a one‐way ANOVA fit omitting the variable for lev...Table 6.3: Indicator variable codings for a one‐way ANOVA fit with
4 Chapter 8Table 8.1: Details of models fit to the Whickham smoking study data.Table 8.2: Details of models fit to the bankruptcy data with 360Networks omitte...
5 Chapter 11Table 11.1: Log‐rank test statistics for Broadway show post‐Tony Awards perform...Table 11.2: Time‐varying covariates survival data.
6 Chapter 13Table 13.1: Estimated expected logged tumor size and growth rate of logged tumo...
7 Chapter 14Table 14.1: Coefficient estimates of selected models using different methods (l...
List of Illustrations
1 Chapter 1FIGURE 1.1: The simple linear regression model. The solid line corresponds to ...FIGURE 1.2: Least squares estimation for the simple linear regression model, u...FIGURE 1.3: Least squares estimation for the multiple linear regression model ...FIGURE 1.4: Scatter plots of sale price versus each predictor for the home pri...FIGURE 1.5: Residual plots for the home price data. (a) Plot of residuals vers...FIGURE 1.6: Scatter plots of residuals versus each predictor for the home pric...
2 Chapter 2FIGURE 2.1: Least squares estimation under collinearity. The only change in th...FIGURE 2.2: Residual plots for the home price data using the best three‐predic...FIGURE 2.3: Plot of observed versus predicted house sale price values of valid...FIGURE 2.4: Plots for the 2004 election data. (a) Plot of percentage change in...FIGURE 2.5: Regression lines for election data separated by whether the county...FIGURE 2.6: Plots for the 2004 election data. (a)