Simulation results are reported on methods that allow both within group and between group heteroscedasticity when testing the hypothesis that independent groups have identical regression parameters. The methods are based on a combination of extant techniques, but their finite-sample properties have not been studied. Included are results on the impact of removing all leverage points or just bad ...

Data mapping is the essence of being human. This report follows the process of data mapping; the transmission of a structured utterance from one domain to another. It starts with signals in the world and moves through experience and engagement with the world through those signals. The paper develops descriptions of the materials and mechanisms of data mapping. The descriptions are aids and conv...

Digital inequality, or the unequal access and use of information communication technologies, inhibits under-privileged people from opportunities in the digital world. Although government and private organizations have devoted considerable resources to address this inequality, issues remain unsolved. A theory-based investigation of the phenomenon is essential for effective policy-making and inte...

The traditional estimation of mixture regression models is based on the normal assumption of component errors and thus is sensitive to outliers or heavy-tailed errors. A robust mixture regression model based on the t−distribution by extending the mixture of t−distributions to the regression setting is proposed. However, this proposed new mixture regression model is still not robust to high leve...

The detection of influential observations for the standard least squares regression model is a question that has been extensively studied. LAD regression diagnostics offers alternative approaches whose main feature is the robustness. In this paper a new approach for nonparametric detection of influencial observations in LAD regression models is presented and compared with other classical method...

Following EU’s Lisbon strategy development of knowledge-based economy has become one of the headline objectives for the government of Latvia. In this paper we conceptualize driving forces and responses of government’s commitment towards this objective. We investigate feedback loops that underlie dynamics of knowledge industry development. Increase in domestic Research and Development (R&D) acti...

vision and then adopted after an extensive design process. OISD may serve to be a more powerful model of change in that it capitalizes on powerful system concepts such as positive feedback and key leverage points, while still retaining a pragmatic orientation. The six phases of OISD are described below. The phases are loose and overlapping; they naturally would probably occur in sequential orde...

Notwithstanding the usefulness of system dynamics in analyzing complex policy problems, policy design is far from straightforward and in many instances trialand-error driven. To address this challenge, we propose to combine system dynamics with network controllability, an emerging field in network science, to facilitate the detection of effective leverage points in system dynamics models and th...

For many natural systems there is an advantage in their simulating on a computer. In this article, a way how to determine the influence of the predator-prey simulation’s parameters on the model’s behaviour based on the leverage points is examined. An investigation whether it is possible to sort the parameters according to the importance and if it is possible to automate the process to a certain...