Code and Results for Chapter 3:

Introduction:
These are results and code for the problems and examples found in Chapter 3 of this famous book.

1. prob_3_1.m (the sample mean from normal samples)
   
2. prob_3_2.m (the sample mean from uniform samples)
   
3. prob_3_4.m (coef. of skewness with uniform samples)
   
4. prob_3_5.m (coef. of skewness with normal samples)
   
5. prob_3_6.m (the uniform empirical distribution function)
   
6. prob_3_7.m (the normal empirical distribution function)
   
7. prob_3_8.m (empirical quartiles from a normal distribution)
   
8. prob_3_9.m (empirical quartiles from a uniform distribution)
   
9. prob_3_11.m (empirical quartile estimates)
   
10. sample_quantiles.m (nearest neighbor empirical quantiles)
    
11. sample_quantiles_linInterp.m (computes the empirical quantiles with linear interpolation)
    
12. prob_3_16.m (experiments with the ML estimate of the variance)
    
13. cmpt_ml_var_bias.m (studies the bias in the ML estimate of the variance)
    
14. quartile_coef_skewness.m (returns the quartile coefficient of skewness)