2018
DOI: 10.3397/1/376635
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Determination of effective parameters for diagnosis and classification of air-conditioning refrigerant noise by logistic regression

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“…To gain greater understanding of the effects of health and wealth on settlement intention in migrants, we incorporated health factors, wealth factors, and social welfare factors into the regression equation and established a binary logistic regression model and a mixed effect logistic regression model. Due to the differences in the units and magnitudes of the independent variables, we cannot identify the relative influence of each variable on the probability of settlement intention ( 36 ). Normalization of units was carried out to identify the relative effect of continuous variables, including scores of health education, social organizational participation, GRP, economic advantages, and AQI, on the probability of settlement intention.…”
Section: Resultsmentioning
confidence: 99%
“…To gain greater understanding of the effects of health and wealth on settlement intention in migrants, we incorporated health factors, wealth factors, and social welfare factors into the regression equation and established a binary logistic regression model and a mixed effect logistic regression model. Due to the differences in the units and magnitudes of the independent variables, we cannot identify the relative influence of each variable on the probability of settlement intention ( 36 ). Normalization of units was carried out to identify the relative effect of continuous variables, including scores of health education, social organizational participation, GRP, economic advantages, and AQI, on the probability of settlement intention.…”
Section: Resultsmentioning
confidence: 99%