Size constrained unequal probability sampling with a non-integer sum of inclusion probabilities
نویسندگان
چکیده
منابع مشابه
Size constrained unequal probability sampling with a non-integer sum of inclusion probabilities
More than 50 methods have been developed to draw unequal probability samples with fixed sample size. All these methods require the sum of the inclusion probabilities to be an integer number. There are cases, however, where the sum of desired inclusion probabilities is not an integer. Then, classical algorithms for drawing samples cannot be directly applied. We present two methods to overcome th...
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Comparison results are obtained for the inclusion probabilities in some unequal probability sampling plans without replacement. For either successive sampling or Hájek’s rejective sampling, the larger the sample size, the more uniform the inclusion probabilities in the sense of majorization. In particular, the inclusion probabilities are more uniform than the drawing probabilities. For the same...
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the main objective in sampling is to select a sample from a population in order to estimate some unknown population parameter, usually a total or a mean of some interesting variable. a simple way to take a sample of size n is to let all the possible samples have the same probability of being selected. this is called simple random sampling and then all units have the same probability of being ch...
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ژورنال
عنوان ژورنال: Electronic Journal of Statistics
سال: 2012
ISSN: 1935-7524
DOI: 10.1214/12-ejs719