Sammanfattning

When sampling from a continuous population (or distribution), we often want a rather small sample due to some cost attached to processing the sample or to collecting information in the field. Moreover, a probability sample that allows for design-based statistical inference is often desired. Given these requirements, we want to reduce the sampling variance of the Horvitz-Thompson estimator as much as possible. To achieve this, we introduce different approaches to using the local pivotal method for selecting well-spread samples from multidimensional continuous populations. The results of a simulation study clearly indicate that we succeed in selecting spatially balanced samples and improve the efficiency of the Horvitz-Thompson estimator.

Nyckelord

local pivotal method; spatial balance; spatial sampling

Publicerad i

Scandinavian Journal of Statistics
2018, Volym: 45, nummer: 3, sidor: 792-805
Utgivare: WILEY

SLU författare

• Grafström, Anton

  • Institutionen för skoglig resurshushållning, Sveriges lantbruksuniversitet
    

UKÄ forskningsämne

Sannolikhetsteori och statistik


Publikationens identifierare

DOI: https://doi.org/10.1111/sjos.12322

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/96607