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Measure of Departure from Extended Marginal Homogeneity for Square Contingency Tables with Ordered Categories

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Detalhes bibliográficos
Resumo:For the analysis of square contingency tables, Tomizawa and Makii (2001), and Tomizawa, Miyamoto and Ashihara (2003) considered the measures to represent the degree of departure from marginal homogeneity (MH). Tomizawa (1984) considered an extended marginal homogeneity (EMH) model for square tables with ordered categories. This paper proposes a measure to represent the degree of departure from EMH. The measure proposed is expressed by using the Cressie and Read’s (1984) power-divergence or Patil and Taillie’s (1982) diversity index. The measure would be useful for comparing the degree of departure from EMH in several tables. Examples are given.
Autores principais:Yamamoto , Kouji
Outros Autores:Yukari Furuya , Yukari Furuya; Tomizawa , Sadao
Assunto:cumulative probability Kullback–Leibler information marginal homogeneity measure ordered category power-divergence Shannon entropy square contingency table
Ano:2007
País:Portugal
Tipo de documento:artigo
Tipo de acesso:unknown
Instituição associada:Instituto Nacional de Estatística
Idioma:inglês
Origem:REVSTAT-Statistical Journal
Descrição
Resumo:For the analysis of square contingency tables, Tomizawa and Makii (2001), and Tomizawa, Miyamoto and Ashihara (2003) considered the measures to represent the degree of departure from marginal homogeneity (MH). Tomizawa (1984) considered an extended marginal homogeneity (EMH) model for square tables with ordered categories. This paper proposes a measure to represent the degree of departure from EMH. The measure proposed is expressed by using the Cressie and Read’s (1984) power-divergence or Patil and Taillie’s (1982) diversity index. The measure would be useful for comparing the degree of departure from EMH in several tables. Examples are given.