Generalized robust regression techniques and adaptive cluster sampling for efficient estimation of population mean in case of rare and clustered populations [PDF]
Scientific ReportsSituations when field researchers are tempted to deviate from preselected sampling plan and to include nearby or related units in sample, then adaptive cluster sampling (ACS) offers a nearly completion solution.
Mir Subzar +6 more
doaj +3 more sources
REDACS: Regional emergency-driven adaptive cluster sampling for effective COVID-19 management. [PDF]
Stoch Anal Appl, 2023 As COVID-19 is spreading, national agencies need to monitor and track several metrics. Since we do not have perfect testing programs on the hand, one needs to develop an advanced sampling strategies for prevalence study, control and management.
Stehlík M +14 more
europepmc +2 more sources
On use of adaptive cluster sampling for variance estimation. [PDF]
J Appl StatAdaptive cluster sampling is particularly helpful whenever the target population is unique, dispersed unevenly, concealed or difficult to find. In the current investigation, under an adaptive cluster sampling approach, we propose a ratio-product ...
Alam S, Shabbir J, Nadeem M.
europepmc +2 more sources
Precision enhancement in variance estimation for complex environmental populations using adaptive cluster sampling [PDF]
HeliyonEstimating dispersion in populations that are extremely rare, hidden, geographically clustered, and hard to access is a well-known challenge. Conventional sampling approaches tend to overestimate the variance, even though it should be genuinely reduced ...
Muhammad Nouman Qureshi +6 more
doaj +2 more sources
Journal of Forest Science, 2012 Based on two species of Coastal Mangrove in Hainan of China, Sonneratia Apetala Buch-Ham and Sonneratia caseoli, we estimated the density of the two species to evaluate the efficiency of adaptive cluster sampling (ACS), simple random sampling (SRS) and ...
Y. Lei, J. Shi, T. Zhao
doaj +2 more sources
Cluster Networking and Cooperative Localization Based on Biogeography Optimization and Improved Super-Multidimensional Scaling for Multi-Unmanned Aerial Vehicles [PDF]
SensorsThe cooperative localization of Unmanned Aerial Vehicles (UAVs) has emerged as a pivotal application in Internet of Things (IoT) tasks. However, the frequent exchange of localization data among UAVs leads to significant energy consumption and escalates ...
Shuhao Zhang +4 more
doaj +2 more sources
A cluster-assisted differential evolution-based hybrid oversampling method for imbalanced datasets [PDF]
PeerJ Computer ScienceClass imbalance remains a significant challenge in machine learning, leading to biased models that favor the majority class while failing to accurately classify minority instances.
Muhammed Abdulhamid Karabiyik +2 more
doaj +3 more sources
RATIO ESTIMATORS FOR POPULATION VARIANCE IN ADAPTIVE CLUSTER SAMPLING
Pakistan journal of science, 2023 To estimate the variance for rare and cluster population has been the main problemin survey sampling. Three ratio type estimators were proposed for population variance utilizing thesingle auxiliary variable assuming the transformed population for ...
M. S.Chaudhry
semanticscholar +1 more source
Author Correction: Generalized robust regression techniques and adaptive cluster sampling for efficient estimation of population mean in case of rare and clustered populations [PDF]
Scientific ReportsMir Subzar +6 more
doaj +2 more sources
Two‐phase adaptive cluster sampling with circular field plots
Environmetrics, 2022 Adaptive cluster sampling (ACS) is extended to the case when the primary sampling units consist of circular field plots. When conducting field work for environmental monitoring, circular field plots are often preferred as they are easily set up by field ...
Wilmer Prentius, Anton Grafström
semanticscholar +1 more source