Analysis of stochastic models of networks is quite important in light of
the huge influx of network data in social, information and bio sciences, but
a proper statistical analysis of features of different stochastic models of networks
is still underway.We propose bootstrap subsampling methods for finding
empirical distribution of count...
Full Text:
Supplement to Subsampling Bootstrap of Count Features of
Analysis of stochastic models of networks is quite important in light of
the huge influx of network data in social, information and bio sciences, but
a proper statistical analysis of features of different stochastic models of networks
is still underway.We propose bootstrap subsampling methods for finding
empirical distribution of count...
Full Text:
Subsampling bootstrap of count features of networks
Analysis of stochastic models of networks is quite important in light of the huge influx of network data in social, information and bio sciences, but a proper statistical analysis of features of different stochastic models of networks is still underway.We propose bootstrap subsampling methods for finding empirical distribution of count...
Water quality agencies and scientists are increasingly adopting standardized sampling methodologies because of the challenges associated with interpreting data derived from dissimilar protocols. Here, we compare 13 protocols for monitoring streams from different regions and countries around the globe. Despite the spatially diverse range of countries assessed, many aspects of...
Microclimate variables such as air temperature and relative humidity influence habitat conditions and ecological processes
in riparian forests. The increased relative humidity levels within riparian areas are essential for many plant and wildlife
species. Information about relative humidity patterns within riparian areas and adjacent uplands are necessary for the
prescription...