Accuracies of univariate and multivariate genomic prediction models in African cassava

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...

Comparing Univariate and Multivariate Indices in Drought Monitoring

In this study, drought characteristics of Arak, Bandar Anzali, Tabriz, Tehran, Rasht, Zahedan, Shiraz and Kerman stations during the statistical period of 1956 to 2015 were studied by Reconnaissance Drought Index (RDI) and Standardized Precipitation Index. Precipitation and temperature data were needed to calculate RDI. Precipitation data was also required to estimate SPI. In this study, Drinc ...

Approximate accuracies of prediction from random regression models

A procedure for obtaining approximate reliabilities of estimated breeding values under a random regression model is presented. The method is based on a concept of an equivalent number of progeny, with subsequent selection index approximation of reliability utilising equivalent progeny information on the animal and its parents. The accuracy of the proposed approximation was tested using a multip...