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Ranked Set Sampling : 65 Years Improving the Accuracy in Data Gathering - Carlos N. Bouza-Herrera

Ranked Set Sampling

65 Years Improving the Accuracy in Data Gathering

By: Carlos N. Bouza-Herrera, Amer Ibrahim Falah Al-Omari

eBook | 16 October 2018

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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

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