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Generalized Likelihood Ratio Tests and Uniformly Most Powerful Tests
The American Statistician, 1990Abstract For testing a one-sided hypothesis in a one-parameter family of distributions, it is shown that the generalized likelihood ratio (GLR) test coincides with the uniformly most powerful (UMP) test, assuming certain monotonicity properties for the likelihood function.
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Generalized differentiability of fuzzy-valued functions
Fuzzy Sets and Systems, 2013Barnabas Bede, Luciano Stefanini
exaly
Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models
Journal of the American Statistical Association, 2004Simon N Wood
exaly
The Beta Generalized Weibull distribution: Properties and applications
Reliability Engineering and System Safety, 2012Neetu Singla, Kanchan Jain
exaly

