obtained in two different cases of Chow – Lin method. The first case is to assume that the monthly regression residuals are …

This dissertation proposes a nonparametric quasi-likelihood approach to estimate regression coefficients in the class … of generalized linear regression models for longitudinal data analysis, where the covariance matrices of the longitudinal … used to estimate the regression coefficients for longitudinal data analysis. Local polynomial regression techniques are …

generation, congestion management, energy/environmental sustainability, and equity. A regression demand model is developed for …

Insolvenzprognose auf Basis der logistischen Regression übernommen. Es mussten dennoch auch einige ukrainische Spezifika berücksichtigt … Variablen in multivariater Regression und bietet viele theoretische Vorteile im Vergleich zu traditionellen statistischen …

Outliers in the data impair traditional estimators of location, variance, and regression parameters so researchers tend … location, scale, linear regression and multiple regression parameters are studied and compared to other estimators existing in … the literature. The concept of data depth is used to propose a new type of estimator for the regression parameters in …