Composite Sampling

1. Introduction
Ganapati P. Patil, Sharad D. Gore, Charles Taillie*

2. Classifying Individual Samples into One of Two Categories
Ganapati P. Patil, Sharad D. Gore, Charles Taillie*

3. Identifying Extremely Large Observations
Ganapati P. Patil, Sharad D. Gore, Charles Taillie*

4. Estimating Prevalence of a Trait
Ganapati P. Patil, Sharad D. Gore, Charles Taillie*

5. A Bayesian Approach to the Classification Problem
Ganapati P. Patil, Sharad D. Gore, Charles Taillie*

6. Inference on Mean and Variance
Ganapati P. Patil, Sharad D. Gore, Charles Taillie*

7. Composite Sampling with Random Weights
Ganapati P. Patil, Sharad D. Gore, Charles Taillie*

8. A Linear Model for Estimation with Composite Sample Data
Ganapati P. Patil, Sharad D. Gore, Charles Taillie*

9. Composite Sampling for Site Characterization and Cleanup Evaluation
Ganapati P. Patil, Sharad D. Gore, Charles Taillie*

10. Spatial Structures of Site Characteristics and Composite Sampling
Ganapati P. Patil, Sharad D. Gore, Charles Taillie*

11. Composite Sampling of Soils and Sediments
Ganapati P. Patil, Sharad D. Gore, Charles Taillie*

12. Composite Sampling of Liquids and Fluids
Ganapati P. Patil, Sharad D. Gore, Charles Taillie*

13. Composite Sampling and Indoor Air Pollution
Ganapati P. Patil, Sharad D. Gore, Charles Taillie*

14. Composite Sampling and Bioaccumulation
Ganapati P. Patil, Sharad D. Gore, Charles Taillie*

Keywords: Statistics, Statistics for Life Sciences, Medicine, Health Sciences, Environmental Management, Ecotoxicology, Statistics and Computing/Statistics Programs, Earth Sciences, general