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Ranked Set Sampling : Its Relevance and Impact on Statistical Inference
Author
Source
ISRN Probability and Statistics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-32, 32 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-31
Country of Publication
Egypt
No. of Pages
32
Main Subjects
Abstract EN
Ranked set sampling (RSS) is an approach to data collection and analysis that continues to stimulate substantial methodological research.
It has spawned a number of related methodologies that are active research arenas as well, and it is finally beginning to find its way into significant applications beyond its initial agricultural-based birth in the seminal paper by McIntyre (1952).
In this paper, we provide an introduction to the basic concepts underlying ranked set sampling, in general, with specific illustrations from the one- and two-sample settings.
Emphasis is on the breadth of the ranked set sampling approach, with targeted discussion of the many options available to the researcher within the RSS paradigm.
The paper also provides a thorough bibliography of the current state of the field and introduces the reader to some of the most promising new methodological extensions of the RSS approach to statistical data analysis.
American Psychological Association (APA)
Wolfe, Douglas A.. 2012. Ranked Set Sampling : Its Relevance and Impact on Statistical Inference. ISRN Probability and Statistics،Vol. 2012, no. 2012, pp.1-32.
https://search.emarefa.net/detail/BIM-481403
Modern Language Association (MLA)
Wolfe, Douglas A.. Ranked Set Sampling : Its Relevance and Impact on Statistical Inference. ISRN Probability and Statistics No. 2012 (2012), pp.1-32.
https://search.emarefa.net/detail/BIM-481403
American Medical Association (AMA)
Wolfe, Douglas A.. Ranked Set Sampling : Its Relevance and Impact on Statistical Inference. ISRN Probability and Statistics. 2012. Vol. 2012, no. 2012, pp.1-32.
https://search.emarefa.net/detail/BIM-481403
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-481403