Code and Results for Chapter 10:

Introduction:
These are results and code for the problems and examples found in Chapter 10 of this famous book.

1. prob_10_1.m (a spatically dependent variance)
   
2. prob_10_2.m (non spatically dependent variance)
   
3. prob_10_3.m (the statistics of the residuals)
   
4. prob_10_4.m (loess smoothing of the residuals)
   
5. prob_10_5.m (fitting polynomial models)
   
6. prob_10_6.m (using polytool)
   
7. prob_10_7.m (loess with various value of alpha)
   
8. prob_10_8.m (the Priestley-Chao estimator)
   
9. prob_10_9.m (experiments with various value of h)
   
10. prob_10_10.m (loess on the human data)
    
11. prob_10_11.m (loess on the anaerob data)
    
12. prob_10_12.m (a regression tree on the brownlee data)
    
13. prob_10_13.m (a regression tree on the abrasion data)
    
14. prob_10_14.m (loess on the helmet data)
    
15. prob_10_15.m (kernel regression on the helmets data)
    
16. prob_10_16.m (a regression tree on the boston data)