We study multiple linear regression model under non-normally distributed random error by considering the family of generalized secant hyperbolic distributions. derive estimators parameters using modified maximum likelihood methodology and explore properties so obtained. show that proposed are more efficient robust than commonly used least square estimators. also develop relevant test hypothesis...

Multivariate multiple linear regression (MMLR), which occurs in a number of practical applications, generalizes traditional least squares (multivariate regression) to right-hand sides. We extend recent MLR analyses sketched MMLR general Schatten p-norms by interpreting the problem as multiplicative perturbation. Our work represents an extension Maher's results on p-norms. derive expressions for...

Global warming is one metric of climate change which defined as an increase in the average global temperature. Residential buildings contribute significantly to pollution that causes change. It essential have a comprehensive understanding functions highly energy efficient view projected projections, quality their heating systems, and impact on human health well-being. Thus, this study, effects ...

caesarean section (c-section) rates have been increasing dramatically in the past decades around the world. this increase has been attributed to multiple factors such as maternal, socio-demographic and institutional fac-tors. therefore, this study examines the impact of maternal, socio-demographic and relevant characteristics on caesar-ean delivery in the northern region of bangladesh.this stud...