Ranked Set Sampling
65 Years Improving the Accuracy in Data Gathering| By: | Carlos N. Bouza-Herrera; Amer Ibrahim Falah Al-Omari |
| Publisher: | Elsevier S & T |
| Print ISBN: | 9780128150443 |
| eText ISBN: | 9780128156933 |
| Edition: | 0 |
| Copyright: | 2019 |
| Format: | Page Fidelity |
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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