Statistical Inferences and Applications of the Half Exponential Power Distribution | Zendy

Wenhao Gui | Zendy

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Statistical Inferences and Applications of the Half Exponential Power Distribution

Author(s) -

Wenhao Gui

Publication year - 2013

Publication title -

journal of quality and reliability engineering

Language(s) - English

Resource type - Journals

eISSN - 2314-8047

pISSN - 2314-8055

DOI - 10.1155/2013/219473

Subject(s) - estimator , statistical inference , moment (physics) , exponential distribution , monte carlo method , exponential function , mathematics , method of moments (probability theory) , distribution (mathematics) , inference , statistical physics , maximum likelihood , power (physics) , computer science , statistics , artificial intelligence , mathematical analysis , physics , classical mechanics , quantum mechanics

We investigate the statistical inferences and applications of the half exponential power distribution for the first time. The proposed model defined on the nonnegative reals extends the half normal distribution and is more flexible. The characterizations and properties involving moments and some measures based on moments of this distribution are derived. The inference aspects using methods of moment and maximum likelihood are presented. We also study the performance of the estimators using the Monte Carlo simulation. Finally, we illustrate it with two real applications

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