收入分析采用更大的平衡器函数,即weghted Square

Jefri Radjabaycolle, A. Z. Wattimena, Indriana Umul Mu'minin, Gabriela Haumahu
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引用次数: 0

摘要

加权最小二乘(WLS)方法是OLS方法的发展,当数据中存在异常值时,加权最小二乘方法将提供比OLS方法更准确的解决方案。OLS方法生成的模型有可能仍然包含离群值,而WLS方法将数据中的离群值最小化。使用OLS方法确定的收入结果小于使用WLS方法确定的收入结果,这意味着如果对OLS方法中影响收入结果的因素的每个结果(根据标准)给定固定值,则渔民的平均收入为2,225 .220印尼盾。而使用WLS方法的渔民的平均收入为1015840卢比。使用OLS方法鉴定出两个异常值,使用WLS方法后没有异常值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analisis Pendapatan Menggunakan Metode Weighted Least Square (Wls) dengan Fungsi Pembobot Huber
The Weighted Least Square (WLS) method is a development of the OLS method which will provide a more accurate solution than the OLS method when outliers are identified in the data. It is possible that the model generated by the OLS method still contains outliers, while the WLS method minimizes outliers in the data. The income result determined using the OLS method is less than the income result using the WLS method, which means that if a fixed value is given (according to the standard) for each result of the factors that affect the income result in the OLS method, the average fisherman income is IDR 2,225 .220. While the average income of fishermen using the WLS method is Rp. 1,015,840. There were two outliers identified using the OLS method and after using the WLS method there were no outliers.
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