Survey sampling and estimation methods form the cornerstone of modern statistical inference, underpinning research across the social, medical, and natural sciences. At their heart, these methods ...

在大数据时代和调查成本攀升的背景下，非概率样本(Non-probability samples)的广泛应用面临选择偏差和不可忽略缺失(Nonignorable missingness)的双重挑战。来自国内的研究团队创新性地提出非线性超总体模型(Nonlinear superpopulation model)推断方法，通过建立响应概率估计框架 ...

This is a preview. Log in through your library . Abstract Numerous investigations, both theoretical and numerical, have been made of the distribution of the range in normal samples. One of the first ...

1. Distinguish between probability and non-probability sampling and discuss the advantages and disadvantages of each. If you can not specify the probability that any given individual will be in the ...

Statistics are often estimated from a sample rather than from the entire population. If the inclusion probability of the sample is unknown to the researcher, that is, a nonprobability sample, naively ...

Non-probability samples provide a challenging source of information for official statistics, because the data generating mechanism is unknown. Making inference from such samples therefore requires a ...