Cluster sampling offers several advantages over other sampling techniques, particularly when dealing with large and dispersed populations. These benefits include cost and time reduction in data ...

To avoid sampling bias in data collection, ensure your sample accurately represents the entire population. Use random sampling methods where every member has an equal chance of being selected.

The emergence of the heterogeneous Internet of Things (IoT) has realized the demand for multi-attribute data collection in response to the increasing demand for information in diverse applications.