Sentence examples for population estimation for from inspiring English sources

For a precise assessment of the spatial variability of shelters, an accurate population estimation for each residential building is desirable.

The population estimation for 1934 is deduced from an extrapolation in between the values for 1921 and 1942.

Our population estimates are based on the United Nations Development Program/Iraq Ministry of Planning and Development Cooperation population estimations for 2004.

A comparison of genetic and standard indirect methods for population estimation of various species shows that both over and under estimation of the true population size occurs with the latter [22]-[25 [22]-[25t the genetic method can yield more precise results as well as information on group membership and movements [26].

For the population estimation of the variables, the two-sided 95% confidence interval will be obtained.

As a result, we relied on the NSDUH for the general population estimation of opioid use, despite its known limitations [ 16, 17].

Population estimations of wild ungulates are available for deer from 1986 (http://www-rbd.ebd.csic.es/Seguimiento/mediobiologico.htm) and for wild boar in 1994 [16] and in 2006 (http://www-rbd.ebd.csic.es/Seguimiento/mediobiologico.htm).ebd.csic.es/Seguimiento/mediobiologico.htm

In this perspective, ranging and tag population estimation are required informations for designing cooperative reader networks for large-scale RFID systems characterized by real-time requirements, high identification reliability, and accurate localization.

Analysis parameters included admixture model, correlated allele frequencies among populations, estimation of separate alpha for each population, and burn-in period of 20,000 iterations followed by 10,000 Markov chain Monte Carlo replications.

Demographic data was also put to use for population estimation based on the dwelling units.

Here, we develop a spatially explicit theory for population estimation that allows us to examine the estimation precision under different survey designs and individual distribution patterns (e.g. random/clustered sampling and individual distribution).