A test of fit for a continuous distribution based on the empirical convex conditional mean function

DOI10.1080/03610926.2015.1019151zbMath1366.62076OpenAlexW2319153730MaRDI QIDQ2979619

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Publication date: 25 April 2017

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2015.1019151

zbMATH Keywords

Monte Carlo studycharacterizationgoodness-of-fit testempirical estimationconvex conditional mean function

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Cites Work

• Tests for location-scale families based on the empirical characteristic function
• Tests for normal mixtures based on the empirical characteristic function
• Goodness-of-fit tests and minimum distance estimation via optimal transformation to uniform\-ity
• Goodness-of-fit tests based on empirical characteristic functions
• The empirical characteristic function and its applications
• Tests of fit for exponentiality based on a characterization via the mean residual life function
• A test for uniformity based on informational energy
• Characterization based on convex conditional mean function
• Approximation Theorems of Mathematical Statistics
• A goodness-of-fit test of simple hypotheses based on the empirical characteristic function
• GOODNESS-OF-FIT TESTS BASED ON A NEW CHARACTERIZATION OF THE EXPONENTIAL DISTRIBUTION
• A Class of Goodness-of-fit Tests Based on Transformation
• A New Goodness-of-Fit Test Based on the Empirical Characteristic Function
• A test for normality based on the empirical characteristic function

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