SpringerBriefs in Statistics

Handling Missing Data in Ranked Set Sampling

Authors: Bouza-Herrera, Carlos N

  • ​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​
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About this book

​The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for example. In human populations they may be caused by a refusal of some interviewees to give the true value for the variable of interest. Traditionally, simple random sampling is used to select samples. Most statistical models are supported by the use of samples selected by means of this design. In recent decades, an alternative design has started being used, which, in many cases, shows an improvement in terms of accuracy compared with traditional sampling. It is called Ranked Set Sampling (RSS). A random selection is made with the replacement of samples, which are ordered (ranked). The literature on the subject is increasing due to the potentialities of RSS for deriving more effective alternatives to well-established statistical models. In this work, the use of RSS sub-sampling for obtaining information among the non respondents and different imputation procedures are considered. RSS models are developed as counterparts of well-known simple random sampling (SRS) models. SRS and RSS models for estimating the population using missing data are presented and compared both theoretically and using numerical experiments.

About the authors

Carlos N. Bouza-Herrera was born in La Habana, Cuba on 29/x/1942. He obtained his BSc. and MSc. in mathematical statistics at the School of Mathematics of Universidad de La Habana and his PhD at the University of Belgrade, former Yugoslavia, in 1977. Since 1971 he has been teaching at the Universidad de La Habana and is currently a consultant professor (emeritus). His research interests are sampling theory, non parametric inference, robust statistics and stochastic optimization. He has also taught undergraduate and graduate courses in Colombia, France, Mexico, Spain and Venezuela. He has been invited to develop joint research by institutions in Brazil, Colombia, China, Cuba, France, India, Italy, Mexico and Spain. He is the author of more than 150 papers and 12 books and monographs published by editorials in Asia, Europe, Latin America and the United States. He is currently working as a referee for different well-known journals and is a contributing editor of Current Index to Statistics and International Abstracts of Operations Research. His wife, Sira, and daughter, Gemayqzel, also have a PhD in Mathematics. He loves jazz and plays the saxophone and pan flute. His favorite sport is jogging.

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)

Table of contents (5 chapters)

  • Missing Observations and Data Quality Improvement

    Bouza-Herrera, Carlos N.

    Pages 1-6

  • Sampling Using Ranked Sets: Basic Concepts

    Bouza-Herrera, Carlos N.

    Pages 7-30

  • The Non-response Problem: Subsampling Among the Non-respondents

    Bouza-Herrera, Carlos N.

    Pages 31-58

  • Imputation of the Missing Data

    Bouza-Herrera, Carlos N.

    Pages 59-90

  • Some Numerical Studies of the Behavior of RSS

    Bouza-Herrera, Carlos N.

    Pages 91-113

Buy this book

eBook $39.99
price for USA (gross)
  • ISBN 978-3-642-39899-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $54.99
price for USA
  • ISBN 978-3-642-39898-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Handling Missing Data in Ranked Set Sampling
Authors
Series Title
SpringerBriefs in Statistics
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
The Author(s)
eBook ISBN
978-3-642-39899-5
DOI
10.1007/978-3-642-39899-5
Softcover ISBN
978-3-642-39898-8
Series ISSN
2191-544X
Edition Number
1
Number of Pages
X, 116
Topics