The purpose of this paper is to use multivariate statistical methods with asymmetric distributions approach, chemical analysis, and inductively coupled plasma–mass spectrometry (ICP-MS) device. We investigate data of heavy metal content from Akcay Riverwater to the Mediterranean involving Finike sea coast at Turkey. We determine the chemical content, origin of heavy metals of the surface water in Akcay River, which flows into the Mediterranean realted to the above-mentioned region by multivariate statistical analysis, pollution indices, and density maps involving numerical comments by numbers. With the help of special numbers represented by special chemical components and simmetric statistical methods given above, in this paper, we obtain many new relations and results. Furhermore, we give some comments, observations, and remarks about the results of this paper. These results have a high potential to be used not only in engineering fields and health sciences, but also in applied mathematics, statistics, and other fields.

中文翻译：

---

河流水中重金属含量的数据分析：多元统计分析和不等式

本文的目的是使用具有不对称分布方法，化学分析和电感耦合等离子体质谱仪（ICP-MS）的多元统计方法。我们调查了从阿克凯河水到涉及土耳其Finike海沿岸的地中海的重金属含量的数据。我们通过多变量统计分析，污染指数和涉及数字注释的密度图，确定了流入上述区域的地中海的阿克凯河中地表水的化学含量，重金属来源。借助上面给出的特殊化学成分表示的特殊数字和模拟统计方法，本文获得了许多新的关系和结果。此外，我们给出一些评论，观察，以及有关本文结果的评论。这些结果具有巨大的潜力，不仅可以用于工程领域和健康科学领域，而且可以用于应用数学，统计学和其他领域。