Comparison of forecasts using univariate and multivariate models

Univariate and multivariate Pareto models

The Pareto distribution has long been recognized as a suitable model for many non-negative socio-economic variables. Univariate and multivariate variations abound. Some unification is possible by representing the Pareto variables in terms of independent gamma distributed components. Further unification is sometimes possible since some of the frequently used multivariate Pareto models share the ...

Recent Advances in Univariate and Multivariate Models

What univariate models can tell us about multivariate macroeconomic models

A longstanding feature of macroeconomic forecasting has been that a wide variety of multivariate models have struggled to out-predict univariate representations. We seek an explanation of this feature in terms of population properties. We show that if we know the univariate properties of a time-series yt these constrain tightly both the dimensions and the predictive power of the multivariate ma...

Linear Model Theory: Univariate, Multivariate, and Mixed Models

Description: A precise and accessible presentation of linear model theory, illustrated with data examples Statisticians often use linear models for data analysis and for developing new statistical methods. Most books on the subject have historically discussed univariate, multivariate, and mixed linear models separately, whereas Linear Model Theory: Univariate, Multivariate, and Mixed Models pre...

Analyzing CAD competence with univariate and multivariate learning curve models

Understanding how learning occurs, and what improves or impedes the learning process is of importance to academicians and practitioners; however, empirical research on validating learning curves is sparse. This paper contributes to this line of research by collecting and analyzing CAD (computer-aided design) procedural and cognitive performance data for novice trainees during 16-weeks of traini...