Hipóteses Estatísticas Testadas por Diversos Softwares em Modelos com Dois Fatores

Authors

  • E.Y. Nakano
  • S.M. Oikawa

DOI:

https://doi.org/10.5540/tema.2004.05.01.0117

Abstract

O problema de interpretação das hipóteses testadas nos modelos com dois fatores cruzados e dados desbalanceados foi amplamente discutido com base no procedimento GLM do SAS (Iemma [1] e Mondardo [2]). Neste contexto, este trabalho teve como objetivo comparar os resultados de outros softwares estatísticos com aqueles fornecidos pelo procedimento GLM do SAS.

References

[1] A.F. Iemma, Análise de variância de dados desbalanceados, em “4o Congresso Brasileiro de Usuários do SAS”, Universidade de São Paulo, 1995, 111p.

M. Mondardo, “Estimabilidade de Funções Paramétricas com Dados Desbalanceados Através do PROC-GLM do SAS: Aplicações à Pesquisa Agropecuária”, Dissertação de Mestrado, ESALQ, USP, Piracicaba, SP, 1994.

S.M. Oikawa, “Hipóteses Estatísticas com Dados Desbalanceados nos Modelos de Efeitos Fixos Hierarquizados em Presença ou não de Esquema Fatorial”, Tese de Doutorado, ESALQ, USP, Piracicaba, SP, 1998.

S.R. Searle, “Linear Models”, John Wiley & Sons, New York, 1971.

X, “SAS User’s guide: Statistics version 6 edition ”, Cary, SAS Institute, 1990, 846p.

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Published

2004-06-01

How to Cite

Nakano, E., & Oikawa, S. (2004). Hipóteses Estatísticas Testadas por Diversos Softwares em Modelos com Dois Fatores. Trends in Computational and Applied Mathematics, 5(1), 117–124. https://doi.org/10.5540/tema.2004.05.01.0117

Issue

Vol. 5 No. 1 (2004)

Section

Original Article

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