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

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Bibliographic Details
Imprint:London ; San Diego, CA : Academic Press, [2019]
Description:1 online resource
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11760844
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Other authors / contributors:Bouza Herrera, Carlos Narciso, 1942- editor.
Al-Omari, Amer Ibrahim Falah, editor.
ISBN:9780128156933
0128156937
9780128150443
0128150440
Notes:Includes bibliographical references and index.
Online resource; title from PDF title page (EBSCO, viewed October 26, 2018).
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.
Other form:Print version: Ranked set sampling. London ; San Diego, CA : Academic Press, [2019] 0128150440 9780128150443