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Application of the Model with a Non-Gaussian Linear Scalar Filters to Determine Life Expectancy, Taking into Account the Cause of Death

机译:用非高斯线性标量滤波器应用模型,以确定预期寿命,考虑到死因

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It is well-known that civilization diseases shorten life expectancy. The most common causes of death in Poland, both for women and men, are cancer and cardiovascular disease. The aim of the article is to use the non-Gaussian scalar filter model to determine life expectancy based on death rates after eliminating one of the above causes of death. Based on the obtained results, it can be stated that depending on the sex and type of the cause of death, the life expectancy may extend to several years.
机译:众所周知,文明疾病缩短了预期寿命。波兰的最常见的死因是女性和男性,都是癌症和心血管疾病。该物品的目的是使用非高斯标量滤波器模型来根据死亡之后的死亡率确定预期寿命,以消除上述死亡原因之一。根据获得的结果,可以说,根据死亡原因的性和类型,预期寿命可能会延长到几年。

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