Ranked set sampling : 65 years improving the accuracy in data gathering /

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 agri...

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Bibliographic Details
Corporate Authors: Elsevier Science & Technology.
Group Author: Bouza Herrera, Carlos Narciso, 1942-; Al-Omari, Amer Ibrahim Falah
Published: Academic Press,
Publisher Address: London ; San Diego, CA :
Publication Dates: [2019]
Literature type: eBook
Language: English
Subjects:
Online Access: https://www.sciencedirect.com/science/book/9780128150443
Summary: 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 applicationsDiscusses RSS performs in popular statistical models, such as regression and hypothesis testingIncludes a discussion of open theoretical research problemsProvides mathematical proofs, enabling researchers to develop new models.
Carrier Form: 1 online resource (296 pages)
Bibliography: Includes bibliographical references and index.
ISBN: 9780128156933
0128156937
9780128150443
0128150440
Index Number: QA276
CLC: O212.2