On a test of normality based on the empirical moment generating function
Norbert Henze, Stefan Koch

TL;DR
This paper develops the theoretical foundation for a statistical test that assesses whether data follow a normal distribution using the empirical moment generating function.
Contribution
It provides the missing theoretical framework for a normality test based on the empirical moment generating function.
Findings
Established the asymptotic distribution of the test statistic.
Validated the test's effectiveness through simulations.
Offered a practical procedure for normality testing.
Abstract
We provide the lacking theory for a test of normality based on the empirical moment generating function.
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Taxonomy
TopicsStatistical Distribution Estimation and Applications · Financial Risk and Volatility Modeling · Probability and Risk Models
