Handling Missing Data in Ranked Set Sampling by Carlos N Bouza-Herrera
English | ISBN: 3642398987 | 2013 | 110 pages | PDF | 4 MB
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.