Handling Missing Data in Ranked Set Sampling

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.

• ​Preface.- Missing Observations and Data Quality Improvement.- Sampling Using Ranked Sets: Basic Concepts.- The Non Response  Problem: Sub-sampling among the Non Respondents.- Imputation of the Missing Data.- Some Numerical Studies of the Behavior of RSS.

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)