Theoretical Chemistry
Random sampling is a statistical technique used to select a subset of individuals from a larger population in such a way that each individual has an equal chance of being chosen. This method ensures that the sample is representative of the population, minimizing bias and allowing for more reliable conclusions to be drawn from the analysis. In computational methods, like Monte Carlo simulations and importance sampling, random sampling plays a crucial role in generating data points to estimate properties of complex systems.
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