In this article, a new consistent estimator of Veram's entropy is introduced. We establish the entropy test based on the new information namely Verma Kullback-Leibler discrimination methodology. The results are used to introduce goodness-of-fit tests for normal and exponential distributions. The root of mean square errors, critical values, and powers for some alternatives are obtained by simulation. The proposed test is compared with other tests.
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IIMAS UNAM, Dept Probabil & Stat, Apdo Postal 20-126, Mexico City 01000, DF, MexicoIIMAS UNAM, Dept Probabil & Stat, Apdo Postal 20-126, Mexico City 01000, DF, Mexico
Contreras-Cristan, A.
Gutierrez-Pena, E.
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IIMAS UNAM, Dept Probabil & Stat, Apdo Postal 20-126, Mexico City 01000, DF, MexicoIIMAS UNAM, Dept Probabil & Stat, Apdo Postal 20-126, Mexico City 01000, DF, Mexico
Gutierrez-Pena, E.
Walker, S. G.
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Univ Texas Austin, Dept Math, Austin, TX 78712 USA
Univ Texas Austin, Dept Stat & Data Sci, Austin, TX 78712 USAIIMAS UNAM, Dept Probabil & Stat, Apdo Postal 20-126, Mexico City 01000, DF, Mexico