Binomial-exponential 2 Distribution: Different Estimation Methods and Weather Applications
2017; Sociedade Brasileira de Matemática Aplicada e Computacional; Volume: 18; Issue: 2 Linguagem: Inglês
10.5540/tema.2017.018.02.0233
ISSN2179-8451
AutoresHassan S. Bakouch, Sanku Dey, Pedro Luiz Ramos, Francisco Louzada,
Tópico(s)Soil Geostatistics and Mapping
ResumoIn this paper, we have considered different estimation methods of the unknown parameters of a binomial-exponential 2 distribution. First, we briefly describe different frequentist approaches such as the method of moments, modified moments, ordinary least-squares estimation, weightedleast-squares estimation, percentile, maximum product of spacings, Cramer-von Mises type minimum distance, Anderson-Darling and Right-tail Anderson-Darling, and compare them using extensive numerical simulations. We apply our proposed methodology to three real data sets related to the total monthly rainfall during April, May and September at Sao Carlos, Brazil.
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