泊松回归及其在婚姻统计中的应用

Ozan Altunbaş, Özlem DENİZ BAŞAR
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引用次数: 0

摘要

回归分析中的因变量可能表现为正态分布,但可能有两个值。数据集是通过定量或定性地测量因变量的条件而产生的。有各种方法来评估和建模这些组中的数据。其中一种方法是泊松回归模型。在研究中,考察了土耳其的婚姻数量、平均结婚年龄和影响因素。在此背景下,从TUIK分析了2001年至2010年间发生在土耳其的婚姻数据。在分析中,接受结婚次数作为因变量,年龄和结婚年限作为自变量。分析结果显示,2001 ~ 2010年间,结婚人数最多的男性年龄层为25 ~ 29岁,女性年龄层为20 ~ 24岁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
POISSON REGRESSION AND APPLICATION TO MARRIAGE STATISTICS
Dependent variables in regression analyzes may show normal distribution but may have two values. Data sets are created by measuring the conditions of dependent variables quantitatively or qualitatively. There are various methods for evaluating and modeling the data in these groups. One of these methods is the poisson regression model. In the research, the number of marriages in Turkey, the average age of marriage and the factors affecting them are examined. In this context, the marriage data that took place in Turkey between the years 2001-2010 are analyzed from TUIK. In analysis, number of marriages was accepted as the dependent variable, age and years of marriage as the independent variable. As a result of the analyzes, it has been determined that the age group with the highest number of marriages for men between the years 2001-2010 is the 25-29 age group, and the 20-24 age group for women.
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