Overview
- Fills the gap in the literature on missing observations for ranked set sampling models
- Provides ready-to-use models for dealing with non responses in surveys
- Prepares the reader to develop further research on estimation with missing observations?
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Statistics (BRIEFSSTATIST)
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Table of contents (5 chapters)
Keywords
About this book
Reviews
From the reviews:
“This monograph treats missing data due to non-inclusion of units in the sampling frame (non-coverage) or to individual non-responses in theoretical ‘ranked set sampling’ framework. … The author’s effort in producing a book that attempts to go beyond the realms of the standard is appreciated and applauded. The book, in its current form, contains some issues of interest to survey sampling practitioners.” (Mariano Ruiz Espejo, International Statistical Review, Vol. 82 (1), 2014)Authors and Affiliations
About the author
Bibliographic Information
Book Title: Handling Missing Data in Ranked Set Sampling
Authors: Carlos N. Bouza-Herrera
Series Title: SpringerBriefs in Statistics
DOI: https://doi.org/10.1007/978-3-642-39899-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Author(s) 2013
Softcover ISBN: 978-3-642-39898-8Published: 15 October 2013
eBook ISBN: 978-3-642-39899-5Published: 04 October 2013
Series ISSN: 2191-544X
Series E-ISSN: 2191-5458
Edition Number: 1
Number of Pages: X, 116
Topics: Statistical Theory and Methods, Statistics for Life Sciences, Medicine, Health Sciences, Statistics for Social Sciences, Humanities, Law, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences