Ranked Set Sampling: 65 Years Improving the Accuracy in Data Gathering

Ranked Set Sampling is an advanced survey technique which seeks to improve the likelihood that collected sample data provide a good representation of the population, and minimizes costs associated with obtaining them. The main focus of many agricultural, ecological and environmental studies is to develop 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. RSS has been successfully used across regression analysis, consumer expenditure surveys, and alternative index estimation, but the technique is not as well understood or used as it might be. This book seeks to place RSS at the heart of economic study designs.

Focused on how researchers should manipulate RSS techniques for specific applicationsDiscusses how RSS performs in popular statistical models such as regression and hypothesis testingIncludes discussion of open theoretical research problemsProvides 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 Sizes
10. A New Morgenstern Type Bivariate Exponential Distribution with Known Coefficient of Variation by Ranked Set Sampling
11. Shrinkage Estimators of Scale Parameter Towards an Interval of Morgenstern Type Bivariate Uniform Distribution Using Ranked Set Sampling
12. Statistical Inference Using Stratified Ranked Set Samples From Finite Populations
13. Simultaneous Estimation of Means of Two Sensitive Variables Using Ranked Set Sampling
14. Forced Quantitative Randomized Response Model Using Ranked Set Sampling
15. Construction of Strata Boundaries for Ranked Set Sampling
16. Calibrated Estimator of Population Mean Using Two-Stage Ranked Set Sampling
17. Estimation of Population Mean Using Information on Auxiliary Attribute: A Review
18. Ratio and Product Type Exponential Estimators for Population Mean Using Ranked Set Sampling
19. Extropy Estimation in Ranked Set Sampling With its Application in Testing Uniformity
20. Selection and Estimation in Ranked Set Sampling using R
21. Variance Estimation of Persons Infected With AIDS Under Ranked Set Sampling