Chi-squared goodness-of-fit test for the family of logistic distributions
Neige Aguirre, Mikhail Nikulin (1994)
Kybernetika
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Neige Aguirre, Mikhail Nikulin (1994)
Kybernetika
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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.
Mikhail S. Nikulin, Vassiliy G. Voinov (1995)
Qüestiió
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An analytical problem, which arises in the statistical problem of comparing the means of two normal distributions, the variances of which -as well as their ratio- are unknown, is well known in the mathematical statistics as the Behrens-Fisher problem. One generalization of the Behrens-Fisher problem and different aspect concerning the estimation of the common mean of several independent normal distributions with different variances are considered and one solution is proposed. ...
Tiago de Oliveira, J. (1965)
Portugaliae mathematica
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Jan Beirlant, László Györfi (1994)
Kybernetika
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