... | @@ -17,9 +17,9 @@ Commonly, overdispersion arises in count data models, while underdispersion is l |
... | @@ -17,9 +17,9 @@ Commonly, overdispersion arises in count data models, while underdispersion is l |
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2. **Calculate the Dispersion Statistic**:
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2. **Calculate the Dispersion Statistic**:
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- For **Poisson regression**, the dispersion statistic is calculated as:
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- For **Poisson regression**, the dispersion statistic is calculated as:
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$$
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$$
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\text{Dispersion} = \frac{\sum_{i=1}^{n} (y_i - \hat{y}_i)^2 / \hat{y}_i}{n - p}
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\text{Dispersion} = \frac{\sum_{i=1}^{n} (y_i - \hat{y}_i)^2 / \hat{y}_i}{n - p}
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$$
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$$
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Where:
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Where:
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- $y_i$ is the observed value.
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- $y_i$ is the observed value.
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