Ranked Set Sampling 65 Years Improving the Accuracy in Data Gathering [Paperback]

Ranked Set Sampling: 65 Years Improving the Accuracy in Data Gathering is an advanced survey technique which seeks to improve the likelihood that collected sample data presents a good representation of the population and minimizes the costs associated with obtaining them. The main focus of many agricultural, ecological and environmental studies is the development of well designed, cost-effective and efficient sampling designs, giving RSS techniques a particular place in resolving the disciplinary problems of economists in application contexts, particularly experimental economics. This book seeks to place RSS at the heart of economic study designs.

• Focuses on how researchers should manipulate RSS techniques for specific applications
• Discusses RSS performs in popular statistical models, such as regression and hypothesis testing
• Includes a discussion of open theoretical research problems
• Provides mathematical proofs, enabling researchers to develop new models

1. Studying the Quality of Environment Variables Using a Randomized Response Procedure for the Estimation of a Proportion Through Ranked Set Sampling
2. evelopment of a New Control Chart Based on Ranked Repetitive Sampling
3. mproved Ratio-Cum-Product Estimators of the Population Mean
4. Estimation of the Distribution Function Using Moving Extreme Ranked Set Sampling (MERSS)
5. Statistical Inference of Ranked Set Sampling Via Resampling Methods
6. Extensions of Some Randomized Response Procedures Related with Gupta-Thornton Method: The Use of Order Statistics
7. Ranked Set Sampling Estimation of the Population Mean When Information on an Attribute Is Available
8. Modified Partially Ordered Judgment Subset Sampling Schemes
9. Ranked Set Sampling With Unequal Sample Sizeló