Samprit Chatterjee - Handbook of Regression Analysis With Applications in R

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H
andbook and reference guide for students and practitioners of statistical regression-based analyses in R
Handbook of Regression Analysis 
with Applications in R, Second Edition 
The book further pays particular attention to methods that have become prominent in the last few decades as increasingly large data sets have made new techniques and applications possible. These include: 
Regularization methods Smoothing methods Tree-based methods In the new edition of the 
, the data analyst’s toolkit is explored and expanded. Examples are drawn from a wide variety of real-life applications and data sets. All the utilized R code and data are available via an author-maintained website. 
Of interest to undergraduate and graduate students taking courses in statistics and regression, the 
will also be invaluable to practicing data scientists and statisticians.

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6 Chapter 6FIGURE 6.1: Interaction plots based on expected responses in situations withou...FIGURE 6.2: Side‐by‐side boxplots of logged DVD sales separated by MPAA rating...FIGURE 6.3: Side‐by‐side boxplots of standardized residuals from the two‐way O...FIGURE 6.4: Side‐by‐side boxplots of standardized residuals from the two‐way W...FIGURE 6.5: Interaction plot for logged DVD sales separated by MPAA rating and...FIGURE 6.6: Residual and diagnostic plots for the WLS‐based ANOVA fit of logge...

7 Chapter 7FIGURE 7.1: Plots for the 2009 international movie grosses data. (a) Plot of l...FIGURE 7.2: ANCOVA fits for the 2009 international movie grosses data. Solid l...FIGURE 7.3: Residual plots for the varying slopes ANCOVA model for the 2009 in...

8 Chapter 8FIGURE 8.1: S‐shaped curves for probabilities.FIGURE 8.2: Two plots of hypothetical observed proportions of success versus a...FIGURE 8.3: Plots for the Whickham smoking and mortality data. (a) Empirical s...FIGURE 8.4: Side‐by‐side boxplots for the bankruptcy data.FIGURE 8.5: Index plot of standardized (Pearson) residuals for the logistic re...FIGURE 8.6: Diagnostic plots for the three‐predictor model fit to the bankrupt...

9 Chapter 9FIGURE 9.1: Graphical representation of the latent variable model for regressi...FIGURE 9.2: Side‐by‐side boxplots for the bond rating data.

10 Chapter 10FIGURE 10.1: Scatter plots for the Florida shark attack data.FIGURE 10.2: Plot of attack rate versus year for the Florida shark attack data...FIGURE 10.3: Diagnostic plots for the Poisson regression model for attack rate...FIGURE 10.4: Diagnostic plots for the Poisson regression model for attack rate...FIGURE 10.5: Diagnostic plots for the negative binomial regression model for a...FIGURE 10.6: Diagnostic plots for the Poisson regression model for fatality ra...FIGURE 10.7: Diagnostic plots for WLS model for 2009 international grosses dat...

11 Chapter 11FIGURE 11.1: Density functions of logged survival times. (a) Normal (solid lin...FIGURE 11.2: Hazard functions of survival times. (a) Lognormal (solid line) an...FIGURE 11.3: Kaplan‐Meier curves of post‐Tony Awards performances of Broadway ...FIGURE 11.4: Logged cumulative hazards plots of post‐Tony Awards performances ...FIGURE 11.5: Scatter plots of logged number of post‐Tony Awards performances o...FIGURE 11.6: Normal plot of the deviance residuals from a Weibull regression f...FIGURE 11.7: Normal plot of the deviance residuals from a Cox regression fit o...FIGURE 11.8: Scatter plots of scaled Schoenfeld residuals for a Cox model fit ...FIGURE 11.9: Kaplan‐Meier plots of the number of years after 1959 of the first...FIGURE 11.10: Side‐by‐side boxplots of country‐year characteristics separated ...

12 Chapter 12FIGURE 12.1: Scatter plots and model fits for the puromycin enzyme velocity da...FIGURE 12.2: Residual plots for the puromycin enzyme velocity data. (a) Plot o...FIGURE 12.3: Scatter plots and model fits for the puromycin enzyme velocity da...

13 Chapter 13FIGURE 13.1: Line plots of tumor size versus number of days after grafting for...FIGURE 13.2: Line plots of logged tumor size versus number of days after graft...FIGURE 13.3: Line plots of residuals from the linear mixed model of logged tum...FIGURE 13.4: Estimated logged tumor size versus number of days after grafting ...FIGURE 13.5: Observed annual per capita unprovoked shark attack rates separate...FIGURE 13.6: Observed annual per capita unprovoked shark attack rates versus (...FIGURE 13.7: Pearson residuals separated by state for Poisson and negative bin...

14 Chapter 14FIGURE 14.1: Lasso slope estimates for the Levittown house data as a function ...

15 Chapter 15FIGURE 15.1: Two samples from the same underlying smooth relationship with thr...FIGURE 15.2: Linear and quadratic least squares fits using the nearest картинка 3obser...FIGURE 15.3: Scatter plots and side‐by‐side boxplots for German used cars data...FIGURE 15.4: Estimated smooth terms of semiparametric model for German used ca...FIGURE 15.5: Side‐by‐side boxplots of year of release and logged budget in 201...FIGURE 15.6: Plots of standardized Pearson residuals from logistic regression ...FIGURE 15.7: Estimated smooth terms of generalized additive model for Bechdel ...FIGURE 15.8: Trellis display of estimated home prices from the model including...

16 Chapter 16FIGURE 16.1: Scatter plots of simulated data.FIGURE 16.2: Scatter plot of predictors of simulated data, with the area of th...FIGURE 16.3: Equivalent tree representations of the partitioning in Figure 16....FIGURE 16.4: Unpruned and pruned CART trees for Levittown home price data. Pru...FIGURE 16.5: Conditional inference tree for Levittown home price data.FIGURE 16.6: Pruned CART tree and conditional inference tree for frequency of ...FIGURE 16.7: Conditional inference tree for perception of rudeness of reclinin...FIGURE 16.8: Conditional inference RE‐EM tree for wages data.FIGURE 16.9: Pruned CART tree and conditional inference tree for Broadway show...FIGURE 16.10: Conditional inference tree for time to first female head of gove...

Guide

1 Cover

2 Table of Contents

3 Begin Reading

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