影响东爪哇预期寿命的因素:用贝叶斯模型平均方法预测

Harun Al Azies, V. M. Dewi
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引用次数: 2

摘要

这项研究预测了影响印度尼西亚东爪哇预期寿命的因素。特别地,本研究比较了线性回归模型和贝叶斯平均模型(BMA)的预测结果。该研究使用了东爪哇省中央统计局(BPS) 2015年的数据集。数据探索结果表明,东爪哇人均预期寿命为70.68岁,邦多沃索县是人均预期寿命最低的地区,为65.73岁,泗水市是东爪哇人均预期寿命最高的地区,为73.85岁。推论研究的结果表明,预计影响东爪哇预期寿命的因素是婴儿死亡率和10岁及以上人口的文盲率。BMA模型与回归模型的比较结果表明,BMA模型可以根据标准误差值估计模型参数,从而更有效地估计参数,因此BMA模型比回归模型更适合预测东爪哇地区预期寿命的影响因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors Affecting Life Expectancy in East Java: Predictions with A Bayesian Model Averaging Approach
This study predicts the factors that influence life expectancy in East Java, Indonesia. In particular, this study compares the prediction results between the linear regression model and the Bayesian Model Averaging (BMA). The study used a 2015 data set from the Central Bureau of Statistics (BPS) of the province of East Java.The results of data exploration show that the life expectancy in East Java is 70.68 years, the Bondowoso regency is the region with the lowest life expectancy at 65.73 years and the city of Surabaya is the area with the highest life expectancy value in East Java, which is 73.85 years.The results of the inference study indicate that the factors that are expected to affect life expectancy in East Java are the infant mortality rate and the illiteracy rate of the population aged 10 and over.The results of the comparison between the BMA and the regression show that the BMA is a better model for predicting the factors that affect life expectancy in East Java than the regression model because the BMA model can estimate the parameters more efficiently by estimating the model parameters based on the standard error value.
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