Nonparametric Statistics with Applications to Science and Engineering

Preface.

1. Introduction.

2. Probability Basics.

3. Statistics Basics.

4. Bayesian Statistics.

5. Order Statistics.

6. Goodness of Fit.

7. Rank Tests.

8. Designed Experiments.

9. Categorical Data.

10. Estimating Distribution Functions.

11. Density Estimation.

12. Beyond Linear Regression.

13. Curve Fitting Techniques.

14. Wavelets.

15. Bootstrap.

16. EM Algorithm.

17. Statistical Learning.

18. Nonparametric Bayes.

A. MATLAB.

B. WinBUGS.

MATLAB Index.

Author Index.

Subject Index.