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Regression analysis deal with the relationship between dependent and independent variables while correlation analysis is concerned with measuring the strength of the relationship between two or more variables. This book explains in detail about simple and multiple linear regression, assumption of linear regression, model adequacy checking, methods of variable selection, transformation of data, binary logistic regression, count regression model (poisson, negative binomial, zero inflated poisson and zero inflated negative binomial regression model, model selection, parameter estimation and goodness of fit test).…mehr

Produktbeschreibung
Regression analysis deal with the relationship between dependent and independent variables while correlation analysis is concerned with measuring the strength of the relationship between two or more variables. This book explains in detail about simple and multiple linear regression, assumption of linear regression, model adequacy checking, methods of variable selection, transformation of data, binary logistic regression, count regression model (poisson, negative binomial, zero inflated poisson and zero inflated negative binomial regression model, model selection, parameter estimation and goodness of fit test).
Autorenporträt
Yenew Alemu: Professor, Departamento de estatística, Colégio de ciências naturais e computacionais, Universidade de Injibara, Etiópia.