On -characteristic functions and applications to asymptotic statistical inference

DOI10.1080/03610926.2015.1030427zbMath1381.60055OpenAlexW2324136915MaRDI QIDQ2979970

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Publication date: 27 April 2017

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

Full work available at URL: https://doi.org/10.1080/03610926.2015.1030427

zbMATH Keywords

hypothesis testingcharacteristic functionscentral limit theoremweak law of large numberscharacterization of distributionsaymptotic inference

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Inequalities; stochastic orderings (60E15) Hypothesis testing in multivariate analysis (62H15) Central limit and other weak theorems (60F05) Characteristic functions; other transforms (60E10) Probability distributions: general theory (60E05)

Related Items (2)

The maximal Strichartz family of Gaussian distributions: Fisher information, index of dispersion, and stochastic ordering ⋮ The Monge–Ampère equation in transformation theory and an application to -probabilities

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