نتایج جستجو برای: fuzzy hypothesis testing
تعداد نتایج: 622539 فیلتر نتایج به سال:
the Agrin Hypothesis and providing important new infor-Neuroscience Program mation on reciprocal signaling mechanisms that regu-Department of Physiology and late synaptic differentiation (illustrated in Figure 1). Gau-Howard Hughes Medical Institute tam et al. (1996) describe the phenotype of a mouse in University of California, San Francisco which the differentially spliced exons required for ...
The empirical validity of the projeetivity hypothesis for Bulgarian is tested. It is shown that the justification of the hypothesis presented for other languages suffers serious methodological deficiencies. Our automated testing, designed to evade such deficiencies~ yielded results falsifying the hypothesis for Bulgarian: the non-projective constructions studied were in fact grammatical rather ...
This paper is an attempt at providing a fuzzy set-based approach to case-based decision. Case-based decision consists in selecting an action to be applied to a current problem on the basis of a set of cases storing the results of various actions applied to similar, previously encountered, problems. Recently, Gilboa and Schmeidler have presented an axiomatic justification of a counterpart of the...
This paper establishes a theory of decision making under uncertainty with fuzzy utilities. The extension of expected utility and stochastic dominance to the comparison of sets of random variables plays a crucial role. Their properties as fuzzy rankings are studied, and their definitions are further generalized to the comparison of fuzzy random variables. Also, a connection between expected util...
Background The risk-adjusted mortality rate (RAMR) is used widely by healthcare agencies to evaluate hospital performance. The RAMR is insensitive to case volume and requires a confidence interval for proper interpretation, which results in a hypothesis testing framework. Unfamiliarity with hypothesis testing can lead to erroneous interpretations by the public and other stakeholders. We argue t...
Spectrum sensing is a critical part in Cognitive radio networks to detect the available frequency resources, and its timeliness accuracy are extremely important. The conventional detectors usually fail be robust presence of noise uncertainty, hence an asynchronous cooperative spectrum approach based on sequential probability ratio detection fuzzy hypothesis testing proposed. In approach, done b...
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