最大似然估计法预测尼泊尔新生儿出生体重

G. Dhungana
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引用次数: 0

摘要

新生儿的第一次体重是其成长和寿命表现进步的重要指标。正常出生体重的儿童比低出生体重和超重的儿童更健康。总共1111个数据来自2016年国家人口健康调查数据集和用于估计新生儿平均出生的R环境。使用正态分布的最大似然估计来确定新生儿的平均体重。通过KS检验和pdf正态曲线图验证了估计值。根据标准正态分布,还预测了低出生体重和超重的患病率。儿童新生儿体重均值为(2.94 kg) 2940 g,标准差为(0.573 kg) 573 g。低出生体重和高出生体重的比例分别为22.04%和3.14%。尼泊尔新生儿的平均体重一般,但低出生体重的患病率在尼泊尔仍然很高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of Birth Weight of Newborn Nepalese’ Babies by Maximum Likelihood Estimation
The first weight of newborn babies is a vital indicator of their growth and progress in the performance of their life span. Normal birth weight children are healthier than low birth weight and overweight. Total 1111 data were taken from the 2016 NDHS data set and the R environment used to estimate the average birth of newborn babies. The maximum likelihood estimate of normal distribution is used to determine the average (SD) weight of newborn babies. The estimated value is validation by KS test and pdf plot with normal curve. Prevalence of low birth weight and overweight from the standard normal distribution has also been predicted. The mean weight of newborn infants of the children is (2.94 kg) 2940 grams and the standard deviation is (0.573 kg) 573 grams. The percentage of low birth weight and high birth weight is 22.04% and 3.14% respectively. The average weight of Nepalese newborn babies is ordinary, but the prevalence of low birth weight is still high in Nepal.
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