TY - JOUR
TI - Quasi-Systematic Sampling From a Continuous Population
UR - https://arxiv.org/abs/1607.04993
KW - binomial process, point process, Poisson process, renewal process, systematic sampling.
LA - en
AU - Wilhelm, M.
AU - Qualité, L.
AU - Tillé, Y.
PY - 2017
DA - .
AB - A specific family of point processes are introduced that allow to select samples for the purpose of estimating the mean or the integral of a function of a real variable. These processes, called quasi-systematic processes, depend on a tuning parameter $r>0$ that permits to control the likeliness of jointly selecting neighbor units in a same sample. When $r$ is large, units that are close tend to not be selected together and samples are well spread. When $r$ tends to infinity, the sampling design is close to systematic sampling. For all $r > 0$, the first and second-order unit inclusion densities are positive, allowing for unbiased estimators of variance.
Algorithms to generate these sampling processes for any positive real value of $r$ are presented. When $r$ is large, the estimator of variance is unstable. It follows that $r$ must be chosen by the practitioner as a trade-off between an accurate estimation of the target parameter and an accurate estimation of the variance of the parameter estimator. The method's advantages are illustrated with a set of simulations.
T2 - Computational Statistics and Data Analysis
VL - 105
SP - 11
EP - 23
ER -