-order selection criteria (both information theoretic based and bootstrap-based). Also, we show that for some models the performance of … the bootstrap-based criterion improves significantly by using the proposed partial-model selection searching method. Index … Terms— Model order estimation, model selection, information theoretic criteria, bootstrap 1. INTRODUCTION Several model …

estimator (CME), the bootstrap and the more recently proposed hook-and-loop resampling based model selection. The advantages and …

lower budgetary uncertainty – for producers and the Federal government – and in meeting multilateral commitments for …

rational description of the uncertainty inherent in both domains, the analysis of their interaction. Little research to date …

Generally speaking, psychologists have suggested three traditional views of how people cope with uncertainty. They are … uncertainty, such as the recent global financial crisis, these coping methods often result in innovation in industry. Richards … analysis, reveals that coping with uncertainty manifests itself in ways that have resulted in innovations in design, marketing …

availability of uncertain soil information and production uncertainty can lead risk-averse farmers to apply more fertilizers and … generate more pollution. Ignoring the impact of uncertainty and risk preferences of farmers leads to a significant …

when deciding to enroll in the Conservation Reserve Program (CRP) under uncertainty. A theoretical model is employed to …

abatement investment and taxes when the cost of the environmental regulation varies spatially under uncertainty. It contributes … environmental regulation uncertainty. An increase in the cost of the environmental regulation moves a risk-averse firm closer to the …. Uncertainty about environmental regulations in the form of the abatement investment and taxes also leads a risk-averse firm to …