High-order ARX models can be used to approximate a quite general class of linear systems in a parametric model structure, and wellestablished methods can then be used to retrieve the true plant and noise models from the ARX polynomials. However, this commonly used approach is only valid when the plant is stable or if the unstable poles are shared with the true noise model. In this contribution,...

• Support Vector Machine (SVM) is known in classification and regression modeling. It has been receiving attention in the application of nonlinear functions. The aim is to motivate the use of the SVM approach to analyze the time series models. This is an effort to assess the performance of SVM in comparison with ARMA model. The applicability of this approach for a unit root situation is also co...

http://www.jstor.org Review: The Past, Present, and Future of Equal Educational Opportunity: A Call for a New Theory of Education Federalism Author(s): Kimberly Jenkins Robinson Review by: Kimberly Jenkins Robinson Source: The University of Chicago Law Review, Vol. 79, No. 1 (Winter 2012), pp. 427-466 Published by: The University of Chicago Law Review Stable URL: http://www.jstor.org/stable/41...

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We investigate whether corporations are following the “best disclosure practices” when presenting business reports on their Web sites. As a benchmark, we use the recommendations made by the Jenkins Committee (1994) to improve corporate reporting practices, to evaluate reports presented on corporate Web sites for their value, relevance, and quality of information. We compute a disclosure score u...

We have studied neural networks as models for time series forecasting, and our research compares the Box-Jenkins method against the neural network method for long and short term memory series. Our work was inspired by previously published works that yielded inconsistent results about comparative performance. We have since experimented with 16 time series of di ering complexity using neural netw...

The group method of data handling technique (GMDH) and Box-Jenkins methods are two wellknown time series forecasting of mathematical modeling. In this paper, we introduce a hybrid modeling which combines the GMDH method with the Box-Jenkins method to model time series data. The Box-Jenkins method was used to determine the useful input variables of GMDH method and then the GMDH method which work...