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Generalized Likelihood Ratio Tests and Uniformly Most Powerful Tests

The American Statistician, 1990
Abstract 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.
openaire   +1 more source

Generalized differentiability of fuzzy-valued functions

Fuzzy Sets and Systems, 2013
Barnabas Bede, Luciano Stefanini
exaly  

Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models

Journal of the American Statistical Association, 2004
Simon N Wood
exaly  

The Beta Generalized Weibull distribution: Properties and applications

Reliability Engineering and System Safety, 2012
Neetu Singla, Kanchan Jain
exaly  

Bayesian Two-Sample Hypothesis Testing Using the Uncertain Likelihood Ratio: Improving the Generalized Likelihood Ratio Test

IEEE Transactions on Signal Processing
James Zachary Hare   +3 more
openaire   +1 more source

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