Abstract: Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of ...

The inexorable momentum of 3D digital sampling is reshaping the landscape of the textile industry, charting the trajectory toward an inevitable future. As the paradigm shift gains acceleration, ...

Abstract: We describe a simple algorithm for sampling n-qubit Clifford operators uniformly at random. The algorithm outputs the Clifford operators in the form of quantum circuits with at most 5n + 2n ...

Pew Research Center designed this study to assess the current state of online survey sampling methods – both probability-based and opt-in – and determine their accuracy on general population estimates ...

Probability-based panel: This refers to a national survey panel recruited using random sampling from a database that includes most people in the population. Today, most such panels in the United ...

1 IBSS Corporation, Silver Spring, MD, United States 2 Northeast Fisheries Science Center, National Oceanic and Atmospheric Administration – National Marine Fisheries Service, Woods Hole, MA, United ...

1 Department of Studies in Statistics, University of Mysore, Mysore, India. 2 All India Institute of Speech and Hearing, Mysore, India. In many studies where sampling is used, such as environmental ...

One of the questions on the homework for Lab 3 for GE 103 (which covered statistical estimation and random sampling) asked students to come up with potential methods of collecting random samples from ...