Spatially Correlated Poisson Sampling
نویسنده
چکیده
A new method for sampling from a finite population that is spread in one, two or more dimensions is presented. Weights are used to create strong negative correlations between the inclusion indicators of nearby units. The method can be used to produce unequal probability samples that are well spread over the population in every dimension, without any spatial stratification. Since the method is very general there are numerous possible applications, especially in sampling of natural resources where spatially balanced sampling has proven to be efficient. Two examples show that the method gives better estimates than other commonly used designs.
منابع مشابه
Hierarchical Bayesian Analysis of Bivariate Poisson Regression Model
This article is concerned with the analysis of correlated count data, a class of model in which the correlation between the counts is presented by correlated unobserved heterogeneity components. A Hierarchical Bayesian analysis is used for estimation of the parameters. A Gibbs sampling algorithm is suggested for find posterior densities of parameters. The proposed method is applied to IVF data ...
متن کاملVariable Radii Poisson - Disk Sampling extended version
We introduce three natural and well-defined generalizations of maximal Poisson-disk sampling. The first is to decouple the disk-free (inhibition) radius from the maximality (coverage) radius. Selecting a smaller inhibition radius than the coverage radius yields samples which mix advantages of Poisson-disk and uniform-random samplings. The second generalization yields hierarchical samplings, by ...
متن کاملQuantification of integrated HIV DNA by repetitive-sampling Alu-HIV PCR on the basis of poisson statistics.
BACKGROUND Quantification of integrated proviral HIV DNA by repetitive-sampling Alu-HIV PCR is a candidate virological tool to monitor the HIV reservoir in patients. However, the experimental procedures and data analysis of the assay are complex and hinder its widespread use. Here, we provide an improved and simplified data analysis method by adopting binomial and Poisson statistics. METHODS ...
متن کاملA Generalization of Poisson Convergence to “Gibbs Convergence” with Applications to Statistical Mechanics
We prove a theorem which generalizes Poisson convergence for sums of independent random variables taking the values 0 and 1 to a type of “Gibbs convergence” for strongly correlated random variables. The theorem is then used to develop a lattice-to-continuum theory for statistical mechanics.
متن کاملApplication of a Doubly Stochastic Poisson Model to the Spatial Prediction of Unexploded Ordnance
The efficient characterization of sites contaminated with unexploded ordnance (UXO) is necessary prior to returning these sites to the public domain. Characterization plans must be based on an accurate prediction of the UXO distribution. A doubly stochastic Poisson process is proposed as the underlying model controlling the spatial distribution of UXO. This model allows the single parameter (in...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012