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The high social costs associated with bankruptcy have spurred searches for better prediction capability. We propose a nonparametric approach for bankruptcy prediction, using data envelopment analysis (DEA) model to identify the boundaries of bankruptcy and non-bankruptcy. The benchmarks of non-bankruptcy and bankruptcy can construct two piecewise frontiers to dominate two convexity classes. Overlap...
Increasing sizes of benchmarks make detailed simulation an extremely time consuming process. Statistical techniques such as the SimPoint methodology have been proposed in order to address this problem during the initial design phase. The SimPoint methodology attempts to identify repetitive, long, large-grain phases in programs and predict the performance of the architecture based on its aggregate...
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