The empirical characteristic function and large sample hypothesis testing

DOI10.1016/0047-259X(80)90083-4zbMath0432.62027OpenAlexW2005358109MaRDI QIDQ1138863

John Kellermeier

Publication date: 1980

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0047-259x(80)90083-4

zbMATH Keywords

Poisson distributionempirical characteristic functionlimiting distributionsBessel functionmixturescritical regionshypothesis of symmetryphoton countingnon-central negative binomial distributiongeneralized negative hypergeometriclarge sample hypothesis testingneural countingnon-central geometric distributionsPolya-Aeppli

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Gaussian processes (60G15) Asymptotic distribution theory in statistics (62E20) Inference from stochastic processes (62M99)

Related Items (3)

Checking the adequacy of the multivariate semiparametric location shift model ⋮ A multivariate empirical characteristic function test of independence with normal marginals ⋮ Unnamed Item

Cites Work

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• The empirical characteristic function and its applications

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