Corrigendum to: Fully Bayesian Estimation Under Dependent and Informative Cluster Sampling
نویسندگان
چکیده
منابع مشابه
Scalable Approximate Bayesian Inference for Outlier Detection under Informative Sampling
Government surveys of business establishments receive a large volume of submissions where a small subset contain errors. Analysts need a fast-computing algorithm to flag this subset due to a short time window between collection and reporting. We offer a computationallyscalable optimization method based on non-parametric mixtures of hierarchical Dirichlet processes that allows discovery of multi...
متن کاملBayesian Inference under Cluster Sampling with Probability Proportional to Size
Cluster sampling is common in survey practice, and the corresponding inference has been predominantly design-based. We develop a Bayesian framework for cluster sampling and account for the design effect in the outcome modeling. We consider a two-stage cluster sampling design where the clusters are first selected with probability proportional to cluster size, and then units are randomly sampled ...
متن کاملBayesian geostatistical modeling with informative sampling locations
We consider geostatistical models that allow the locations at which data are collected to be informative about the outcomes. Diggle et al. [2009] refer to this problem as preferential sampling, though we use the term informative sampling to highlight the relationship with the longitudinal data literature on informative observation times. In the longitudinal setting, joint models of the observat...
متن کاملBayesian geostatistical modelling with informative sampling locations.
We consider geostatistical models that allow the locations at which data are collected to be informative about the outcomes. A Bayesian approach is proposed, which models the locations using a log Gaussian Cox process, while modelling the outcomes conditionally on the locations as Gaussian with a Gaussian process spatial random effect and adjustment for the location intensity process. We prove ...
متن کاملEstimation of Subpopulation Parameters in One-stage Cluster Sampling Design
Sometimes in order to estimate population parameters such as mean and total values, we extract a random sample by cluster sampling method, and after completing sampling, we are interested in using the same sample to estimate the desired parameters in a subset of the population, which is said subpopulation. In this paper, we try to estimate subpopulation parameters in different cases when one-st...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Survey Statistics and Methodology
سال: 2022
ISSN: ['2325-0984', '2325-0992']
DOI: https://doi.org/10.1093/jssam/smac008