| 书目名称 | Indirect Sampling | | 编辑 | Pierre Lavallée | | 视频video | | | 概述 | Parameters are estimated by not sampling the target population, but another population that is linked to the target one.The proposed approach offers elegant and practical solutions | | 丛书名称 | Springer Series in Statistics | | 图书封面 |  | | 描述 | .Following the classical sampling theory, the survey statistician selects samples of people, businesses or others, in order to obtain the desired information. Drawing the samples is usually done by randomly selecting from a list representing the target population. In practice, this list is often not available. At best, the statistician only has access to a different list, indirectly related to the targeted population...The example of a survey of children where the statistician only has a list of adult persons is a typical case. In this case, the statistician first draws a sample of adults, and for each selected adult, the statistician then identifies his/her children. The survey is done from the latter. This is what is called indirect sampling...When indirect sampling is used jointly with the sampling of clusters of persons (families, for example), many complications arise for the survey statistician. One of the complications relates to the computation of the estimates from the survey. The production of estimates of simple totals or means can then become nightmares for the survey statistician. To solve this problem, the author proposes a simple solution, easy to implement, that is | | 出版日期 | Book 2007 | | 关键词 | clusters; links; production; survey sampling; unbiasedness; weighting | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-387-70782-2 | | isbn_softcover | 978-1-4419-2421-6 | | isbn_ebook | 978-0-387-70782-2Series ISSN 0172-7397 Series E-ISSN 2197-568X | | issn_series | 0172-7397 | | copyright | Springer-Verlag New York 2007 |
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发表于 2025-3-21 19:05:30
