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Adaptive and spatially adaptive testing of a nonparametric hypothesis
1996Preprint: Weierstraß-Institut für Angewandte Analysis und Stochastik, vol ...
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A NONPARAMETRIC HYPOTHESIS TEST VIA THE BOOTSTRAP RESAMPLING [PDF]
This paper adapts an already existing nonparametric hypothesis test to the bootstrap framework. The test utilizes the nonparametric kernel regression method to estimate a measure of distance between the models stated under the null hypothesis. The bootstraped version of the test allows to approximate errors involved in the asymptotic hypothesis test.
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Bayesian nonparametric hypothesis testing
In this thesis, we propose novel Bayesian Nonparametric hypothesis testing procedures for correlated data. First, we develop and study a proposal for comparing the distributions of paired samples. Next, we propose and analyze a hypothesis testing procedure for longitudinal data analysis.openaire +2 more sources
Multiple Hypothesis Testing-Based Cepstrum Thresholding for Nonparametric Spectral Estimation
IEEE Signal Processing Letters, 2022Petre Stoica, Prabhu Babu
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Nonparametric tests of hypothesis.
Nutrition (Burbank, Los Angeles County, Calif.), 1994K, Gauvreau, M, Pagano
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Nonparametric multivariate statistical process control charts: a hypothesis testing-based approach
Journal of Nonparametric Statistics, 2015exaly

