Regression diagnostics is the basic requirement to apply regression analysis to reach reliable conclusions. Generalized linear models also required diagnostics for its implementation. The construction of partial residuals using response residuals for the inverse Gaussian regression model is carried out to explore the structure and usefulness for visualizing diagnostics and curvature as a function of selected predictors. The current study established the performance of partial residual plots over conventional diagnostic methods. The comparison has been made using aerial biomass data and with the help of simulation study. It has been observed that partial residual plots provide much better diagnosis than do conventional methods. Moreover, multiple diagnostics in a single display provide better perceptive towards lack of fit, specification, and data anomalies.

中文翻译：

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通过逆高斯回归中的部分残差图进行诊断

回归诊断是应用回归分析得出可靠结论的基本要求。广义线性模型还需要对其实施进行诊断。使用逆高斯回归模型的响应残差构建部分残差是为了探索将诊断和曲率可视化为所选预测变量的函数的结构和有用性。当前的研究确定了部分残差图优于传统诊断方法的性能。使用空中生物量数据并借助模拟研究进行了比较。据观察，部分残差图比传统方法提供了更好的诊断。此外，单个显示器中的多个诊断提供了对不合身、规格、