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An Examination Of Computational Methods Related To G/M/C Queueing, Thomas Michaud Ms Jan 2019

An Examination Of Computational Methods Related To G/M/C Queueing, Thomas Michaud Ms

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The following examination of computational methods related to queues with general arrivals (i:i:d: but of unknown distribution), multiple identical servers with i:i:d: exponential service times, and ordinary first come, first served service (hereafter referred to as G/M/c to use existing naming conventions) seeks to investigate the current models and provide new results based on a draft convolution method proposed by El-Taha[3]. The new model will demonstrate the use of distributions with coefficients of variance ranging from zero to near infinity to provide flexibility in simulating a range of potential arrival distributions, and we include detailed results and software for both …


Discovering Predictors Of Readmission For Acute Myocardial Infarction In A Medicare Population: A Data Mining Approach, Daniel Macdonald Knowles Ms May 2014

Discovering Predictors Of Readmission For Acute Myocardial Infarction In A Medicare Population: A Data Mining Approach, Daniel Macdonald Knowles Ms

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Health care costs in the United States have risen at rates far exceeding the cost of living for many years. Previous attempts to control these costs have proven futile. Studies have shown that high per-capita spending in the U.S. does not equate to consistent quality of care or better outcomes.