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Mortality modeling using probability distributions. APPLICATION in greek mortality data

机译:使用概率分布进行死亡率建模。

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A number of different probability distributions describing age-specific mortality have been proposed. The most common ones, Gompertz and Gompertz - Makeham distributions have received wide acceptance and describe fairly well mortality data over a period of 60-70years, but generally do not give the desired results for old and/or young ages. This paper proposes a new mathematical distribution (thereafter named ANBE), that results from the combination of the above distributions with Beta distribution. Beta distribution has been chosen for its flexibility to different dataset. Tested for its goodness of fit, ANBE shows a higher predictive ability for males and females, especially at higher ages. This new probability density function could also be applied in populations other than the Greek, subject to appropriate parameter detection (e.g. Maximum Likelihood). The application relies on mortality data collected and provided by ELSTAT for year 2011. Population data were used in order to calculate age and sex-specific mortality rates based on the estimated mean population of one-year interval age-group for the year concerned. According to our findings, the B.ANBE mortality model presents satisfactory results on appropriate evaluation criteria (AIC, BIC).
机译:已经提出了许多描述特定年龄死亡率的不同概率分布。最常见的Gompertz和Gompertz-Makeham分布已被广泛接受,并描述了60-70年期间的相当不错的死亡率数据,但通常不能给出预期的老年和/或青年年龄的结果。本文提出了一种新的数学分布(以下称为ANBE),它是上述分布与Beta分布相结合的结果。选择Beta发行版是因为它具有针对不同数据集的灵活性。经过测试,ANBE对男性和女性具有更高的预测能力,尤其是在较高年龄的人群中。该新的概率密度函数还可以应用于除希腊语之外的其他人群,但要经过适当的参数检测(例如,最大似然)。该应用程序依赖于ELSTAT收集并提供的2011年死亡率数据。使用人口数据是根据相关年份一年间隔年龄组的估计平均人口来计算年龄和特定性别的死亡率。根据我们的发现,在适当的评估标准(AIC,BIC)下,B.ANBE死亡率模型显示出令人满意的结果。

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