A comparison between Robust regression analysis methods Applied statistical study of the most important demographic factors on the total fertility rate in Yemen for the period (1990-2013).

Abstract

the research aims to compare the estimators of robust regression methods (the robustM method - the robust MM method - the robustS method), the detection of the nature of the distribution of data, the discovery of abnormal and extreme data of the study variables, in addition to revealing the stability of time chains, and testing a relationship Joint integration by analyzing the relationship between the studied demographic variables represented in (infant mortality - the number of maternal deaths - raw death rate - the rate of widespread malnutrition - female death rate - child mortality rate under the age For every 1,000 neighborhood births) as independent variables, and the total fertility rate as a variable in the Republic of Yemen for the period (1990-2015). the research aims to compare the estimators of robust regression methods (the robustM method - the robust MM method - the robustS method), the detection of the nature of the distribution of data, the discovery of abnormal and extreme data of the study variables, in addition to revealing the stability of time chains, and testing a relationship Joint integration by analyzing the relationship between the studied demographic variables represented in (infant mortality - the number of maternal deaths - raw death rate - the rate of widespread malnutrition - female death rate - child mortality rate under the age For every 1,000 neighborhood births) as independent variables, and the total fertility rate as a variable in the Republic of Yemen for the period (1990-2015).