degenerate-generalized likelihood ratio test for one-sided composite hypotheses

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ID: 211114
2012
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Abstract
We propose the degenerate-generalized likelihood ratio test (DGLRT) for one-sided composite hypotheses in cases of independent and dependent observations. The theoretical results show that the DGLRT has controlled error probabilities and stops sampling with probability 1 under some regularity conditions. Moreover, its stopping boundaries are constants and can be easily determined using the provided searching algorithm. According to the simulation studies, the DGLRT has less overall expected sample sizes and less relative mean index (RMI) values in comparison with the sequential probability ratio test (SPRT) and double sequential probability ratio test (2-SPRT). To illustrate the application of it, a real manufacturing data are analyzed.
Reference Key
xiang2012mathematicaldegenerate-generalized Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Dongdong Xiang;Xiaolong Pu;Lei Wang;Yan Li
Journal journal of power sources
Year 2012
DOI
10.1155/2012/538342
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