Correcting statistical models via empirical distribution functions

DOI10.1007/s00180-015-0607-5zbMath1342.65053DBLPjournals/cstat/MunteanuW16OpenAlexW1476137427WikidataQ59469749 ScholiaQ59469749MaRDI QIDQ736634

Max Wornowizki, Alexander Munteanu

Publication date: 4 August 2016

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-015-0607-5

zbMATH Keywords

efficient algorithmKolmogorov-Smirnov testnonparametric mixture modelquantify discrepancy between data and model

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric hypothesis testing (62G10) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Uses Software

• R
• CORSIKA
• BatchExperiments

Cites Work

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• On Bayesian nonparametric modelling of two correlated distributions
• Strict \(L_{\infty }\) isotonic regression
• Density estimation and comparison with a penalized mixture approach
• Alternative EM methods for nonparametric finite mixture models
• Approximation Theorems of Mathematical Statistics
• Nonparametric inference in multivariate mixtures
• Almost Nonparametric Inference for Repeated Measures in Mixture Models

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