Passive sampling techniques have emerged as valuable tools for monitoring environmental contaminants, particularly in aquatic systems. These methods allow for the collection of samples over ...

Importance sampling and Monte Carlo methods are powerful statistical techniques used for estimating complex integrals, particularly in the context of Bayesian inference. These methods are ...

A research team at POSTECH has developed a novel multidimensional sampling theory to overcome the limitations of flat optics.

i.e. a sample of units from the population drawn in accordance with a well-prescribed selection mechanism. This report describes the various sample designs and weighting methods regularly used at ...

One of the key goals within the field of quantum computing is to achieve what is known as a quantum advantage. This term ...

Sampling is a type of scientific surveying which can save time and money and give information on the population of animals and plants. There are many different types of sampling; the most useful ...