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Nonparametric hypothesis testing for a spatial signal
Journal of the American Statistical Association, 2002Summary form only given. Nonparametric hypothesis testing for a spatial signal can involve a large number of hypotheses. For instance, two satellite images of the same scene, taken before and after an event, could be used to test a hypothesis that the event has no environmental impact.
Xiaotong Shen +2 more
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Nonparametric Hypothesis Testing with Parametric Rates of Convergence
International Economic Review, 1991Nonparametric estimators are frequently criticized for their poor performance in small samples. In this paper, the author considers using kernel methods for the estimation of the expected derivatives of a regression function. The proposed estimators are shown to be asymptotically normal and n-consistent.
Paul Rilstone
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Nonparametric hypothesis testing for intensity of the poisson process
Mathematical Methods of Statistics, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yu. I. Ingster, Y. Kutoyants
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Inferential Statistics III: Nonparametric Hypothesis Testing
Statistics for Biomedical Engineers and Scientists, 2019A. P. King, R. Eckersley
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Nonparametric conditional local independence testing
Annals of Statistics, 2022Conditional local independence is an asymmetric independence relation among continuous time stochastic processes. It describes whether the evolution of one process is directly influenced by another process given the histories of additional processes, and
Alexander Mangulad Christgau +2 more
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Data-Driven Nonparametric Hypothesis Testing
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018We investigate a nonparametric hypothesis testing problem, in which we assume a testing data stream is generated by one of a set of distributions (hypotheses), and the goal is to test which one of the multiple distributions generates the testing data stream, i.e., which hypothesis occurs.
Yixian Liu, Yingbin Liang, Shuguang Cui
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Bayesian nonparametric hypothesis testing for longitudinal data analysis
Computational Statistics & Data Analysis, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Luz Adriana Pereira +3 more
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A nonparametric hypothesis test for heteroscedasticity
Journal of Nonparametric Statistics, 2016ABSTRACTIn this paper, a hypothesis test for heteroscedasticity is proposed in a nonparametric regression model. The test statistic, which uses the residuals from a nonparametric fit of the mean function, is based on an adaptation of the well-known Levene's test.
Seonjin Kim, Adriano Z. Zambom
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Nonparametric hypothesis testing in clustered survival model
Communications in Statistics - Simulation and Computation, 2017A nonparametric test for the presence of clustering in survival data is proposed. Assuming a model that incorporates the clustering effect into the Cox Proportional Hazards model, simulation studie...
John de Guzman Eustaquio +1 more
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