Goodman algorithm

Goodman's algorithm is a method used in statistics and data analysis to improve the accuracy of estimations, especially when working with small sample sizes or uncertain data. It adjusts initial estimates by incorporating additional information or constraints, leading to more reliable results. Essentially, it refines predictions or calculations by systematically considering possible errors and uncertainties, making the conclusions more robust. This approach is useful across various fields, such as survey analysis, quality control, and decision-making, where ensuring the reliability of data-driven insights is critical.