An explicit procedure is given to obtain the exact maximum likelihood estimates of the parameters in a regression model with ARMA time series errors with possibly nonconsecutive data. The method is ...

Envelope models represent a significant advancement in multivariate regression analysis, offering an efficient dimension reduction tool that enhances both estimation precision and predictive ...

This article derives a new family of estimators, namely the minimum density power divergence estimators, as a robust generalization of the maximum likelihood estimator for the polytomous logistic ...

Regression is a statistical tool used to understand and quantify the relation between two or more variables. Regressions range from simple models to highly complex equations. The two primary uses for ...

The estimates for the House of Representatives come from a model, not just from a survey result. The difference between the two is that while a survey attempts to measure the whole of something by ...