The Wald Test is a statistical test used to assess the significance of individual coefficients in a regression model. It evaluates whether a specific parameter is significantly different from zero, helping to understand the contribution of predictors in generalized linear models (GLMs) like Poisson regression. This test is particularly useful for model diagnostics and determining how well the model fits the data.
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