The Wald test is a statistical test used to assess the significance of individual coefficients in a statistical model. It evaluates whether the estimated parameters significantly differ from a hypothesized value, typically zero, by comparing the squared ratio of the estimated parameter to its standard error. This test is crucial in robust estimation and hypothesis testing as it provides insights into the influence of individual predictors within models that may not adhere to strict assumptions of normality.
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