Some non-parametric tests for the k-sample problem
M. Fisz (1960)
Colloquium Mathematicae
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Displaying similar documents to “Pitman efficiencies of -goodness-of-fit tests”
Some non-parametric tests for the k-sample problem
Goodness-of-fit tests based on -divergence
Teresa Pérez, Julio A. Pardo (2003)
Kybernetika
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In this paper a new family of statistics based on -divergence for testing goodness-of-fit under composite null hypotheses are considered. The asymptotic distribution of this test is obtained when the unspecified parameters are estimated by maximum likelihood as well as minimum -divergence.
Goodness-of-fit test for the family of logistic distributions.
N. Aguirre, Mikhail S. Nikulin (1994)
Qüestiió
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Chi-squared goodness-of-fit test for the family of logistic distributions id proposed. Different methods of estimation of the unknown parameters θ of the family are compared. The problem of homogeneity is considered.
Asymptotic optimality of new adaptive test in regression model
Tadeusz Inglot, Teresa Ledwina (2006)
Annales de l'I.H.P. Probabilités et statistiques
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Statistical choice of non-separated one-parameter models.
José Tiago de Oliveira (1985)
Trabajos de Estadística e Investigación Operativa
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The purpose of this paper is to study the asymptotic choice between two models {F(x|α), α ∈ A ⊆ R} and {G(x|β), β ∈ B ⊆ R}, A and B being intervals but such that for (α, β}, and only for this pair, we have F(x|α) = G(x|β).