Factors affecting use of contraceptive methods among Ethiopian women - Mekonnen Amare, Bezarede
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Logistic regression is a statistical technique for predicting the probability of an event, given a set of predictor variables. The procedure is more sophisticated than the linear regression procedure. The binary logistic regression procedure empowers one to select the predictive model for dichotomous dependent variables. It describes the relationship between a dichotomous response variable and a set of explanatory variables. The logistic model, as a non-linear regression model, is a special case of generalized linear model where the assumptions of normality and constant variance of residuals…mehr

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Produktbeschreibung
Logistic regression is a statistical technique for predicting the probability of an event, given a set of predictor variables. The procedure is more sophisticated than the linear regression procedure. The binary logistic regression procedure empowers one to select the predictive model for dichotomous dependent variables. It describes the relationship between a dichotomous response variable and a set of explanatory variables. The logistic model, as a non-linear regression model, is a special case of generalized linear model where the assumptions of normality and constant variance of residuals are not satisfied. Binary response models are of major importance in the social sciences as well as in demography since many social phenomena are discrete or qualitative rather than quantitative in nature.
Autorenporträt
Bezarede Mekonnen Amare (MSc.), Mekonnnen Tadesse (ass.prof.). Bezarede Mekonnen, the author of this book obtained his first degree in Statistics on July 10, 2008 from Hawassa University and MSc. in Applied statistics on July 12, 2011 from Addis Ababa University. Currently the author of this book is a lecturer of statistics at Wollega University.