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Handling Missing Data in Ranked Set Sampling
Carlos N. Bouza-Herrera
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Description for Handling Missing Data in Ranked Set Sampling
Paperback. Series: SpringerBriefs in Statistics. Num Pages: 116 pages, biography. BIC Classification: JHBC; PBT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 7. Weight in Grams: 207.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2013
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
116
Condition
New
Series
SpringerBriefs in Statistics
Number of Pages
116
Place of Publication
Berlin, Germany
ISBN
9783642398988
SKU
V9783642398988
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Carlos N. Bouza-Herrera
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 ... Read more
Reviews for Handling Missing Data in Ranked Set Sampling
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 ... Read more