<b>Improvement of the Wald method applied to the evaluation of zero-inflated binomial linear functions

Authors

  • Cleide Silveira Brasil Peixoto Universidade Federal de Lavras
  • Marcelo Angelo Cirillo Universidade Federal de Lavras
  • Augusto Maciel da Silva Universidade Federal de Santa Maria

DOI:

https://doi.org/10.4025/actascitechnol.v37i1.21250

Keywords:

binomial families, probability of coverage, simulation

Abstract

The Wald method is grounded on a statistic based on the asymptotic approximation of normal distribution. The method has shown incoherent values at a nominal level of confidence for the probability of coverage in intervallic estimates, mainly in small samples, noticeable in linear functions formed by binomial proportions. Current analysis improves this method used in inferring from binomial linear functions, taking into consideration zero-inflated samples. Improvement was assessed byMonte Carlosimulation techniques within different scenarios. Results show that the improvement proposed is recommended in situations in which sampling proportions are close to 0,5 and produce a maximum variance of the binomial proportions involved in the composition of the linear function.

 

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Author Biographies

Cleide Silveira Brasil Peixoto, Universidade Federal de Lavras

Doutoranda em Estatí­stica e Experimentação Agropecuária

Marcelo Angelo Cirillo, Universidade Federal de Lavras

Prof. Adjunto ní­vel IV - Departamento de Ciências Exatas - Universidade Federal de Lavras. Atua nas áreas: Estatí­stica Computacional, Superfí­cie de Resposta, Análise Multivariada, Modelos Generalizados e Estatí­stica Aplicada a Ciências dos Alimentos

Augusto Maciel da Silva, Universidade Federal de Santa Maria

Prof. Assistente, Departamento de Exatas, Atua nas áreas inferencia estatí­stica e análise multivariada

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Published

2015-01-06

How to Cite

Peixoto, C. S. B., Cirillo, M. A., & Silva, A. M. da. (2015). <b>Improvement of the Wald method applied to the evaluation of zero-inflated binomial linear functions. Acta Scientiarum. Technology, 37(1), 47–54. https://doi.org/10.4025/actascitechnol.v37i1.21250

Issue

Section

Statistics

 

0.8
2019CiteScore
 
 
36th percentile
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0.8
2019CiteScore
 
 
36th percentile
Powered by  Scopus

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