The earthquake magnitude data for Sudan Territory includes four types of magnitude scales (Moment Magnitude Mw, Surface wave magnitude Ms, Local magnitude ML and Body wave Magnitude mb). Unifying the magnitude scale of the compiled earthquake catalogue requires converting these scales to one appropriate scale, usually moment magnitude scale. Therefore, the current paper is presented to retrieve plausible magnitude regression relationships for Sudan Territory. For this reason, all earthquakes that reported by Mw and any other type of magnitude scale are separated and used to derive the earthquake magnitude regression relationships for studied area. The conversion equations are derived using three types of regressions; the standard least-square regression, the inverted standard least-square regression and the particular orthogonal regression. The residual analysis and the log-likelihood method are performed to judge the goodness of fit for each model. The analysis indicated that the models derived by the standard least-square regression for each data-set are well represent the magnitude data within the study area followed by those yielded by the orthogonal regression.

苏丹境内的地震震级数据包括四种震级尺度（矩震级Mw、面波震级Ms、局部震级ML和体波震级mb）。统一编制的地震目录的震级尺度需要将这些尺度转换为一个合适的尺度，通常是矩震级尺度。因此，目前的论文旨在检索苏丹领土的似是而非的量级回归关系。因此，Mw报告的所有地震和任何其他类型的震级尺度被分开并用于导出研究区域的地震震级回归关系。转换方程是使用三种类型的回归推导出来的；标准最小二乘回归、倒置标准最小二乘回归和特定正交回归。执行残差分析和对数似然法来判断每个模型的拟合优度。分析表明，每个数据集的标准最小二乘回归模型很好地代表了研究区域内的震级数据，其次是正交回归产生的数据。