\(k\)-sample test based on the common area of kernel density estimators
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Publication:951064
DOI10.1016/j.jspi.2008.02.008zbMath1146.62026OpenAlexW2036293601MaRDI QIDQ951064
Jacobo de Uña-Álvarez, Norberto Corral, Pablo Martínez-Camblor
Publication date: 29 October 2008
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2008.02.008
Related Items (11)
Searching for a common pooling pattern among several samples ⋮ On the topological data analysis extensions and comparisons ⋮ About the use of the overlap coefficient in the binary classification context ⋮ Similarity of samples and trimming ⋮ Comparing a large number of multivariate distributions ⋮ Nonparametric \(k\)-sample test based on kernel density estimator for paired design ⋮ Non-parametric \(k\)-sample tests: density functions vs distribution functions ⋮ Density comparison for independent and right censored samples via kernel smoothing ⋮ Studying the bandwidth in \(k\)-sample smooth tests ⋮ Unnamed Item ⋮ On automatic kernel density estimate-based tests for goodness-of-fit
Uses Software
Cites Work
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- Generalized likelihood ratio statistics and Wilks phenomenon
- Asymptotic Statistics
- K-Sample Analogues of the Kolmogorov-Smirnov and Cramer-V. Mises Tests
- Empirical likelihood tests for two-sample problems via nonparametric density estimation
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