Statistical approximation generally refers to techniques used in statistics and data analysis to estimate or simplify complex mathematical formulations, models, or data distributions. The goal of statistical approximation is to produce a useful representation or estimate of a population or process when exact solutions are impractical or impossible to derive. Here are a few key aspects and methods related to statistical approximation: 1. **Point Estimation**: This involves using sample data to estimate a population parameter (like the mean, variance, etc.).
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