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New method detects errors in regression models, improving accuracy and reliability.
The article discusses how the assumption of equal variance in regression models may not always be correct. It focuses on dealing with different variances in nonlinear regression models by using random weighted variance functions. The researchers developed tests to check if the assumption of equal variance holds true, and if not, they provided a method to estimate the random weights.
