Estimates of the rate of approximation in a de-poissonization lemma
Andrei Yu. Zaitsev (2002)
Annales de l'I.H.P. Probabilités et statistiques
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Andrei Yu. Zaitsev (2002)
Annales de l'I.H.P. Probabilités et statistiques
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Francisco Javier Girón, Carmen del Castillo (2001)
RACSAM
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La distribución de Behrens-Fisher generalizada se define como convolución de dos distribuciones t de Student y se relaciona con la distribución gamma invertida por medio de un teorema de representación como una mixtura, respecto del parámetro de escala, de distribuciones normales cuando la distribución de mezcla es la convolución de dos distribuciones gamma invertidas. Un resultado importante de este artículo establece que la distribución de Behrens-Fisher con grados de libertad impares...
M. Fisz (1960)
Colloquium Mathematicae
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Saralees Nadarajah (2005)
Kybernetika
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The distributions of linear combinations, products and ratios of random variables arise in many areas of engineering. In this note, the exact distributions of , and are derived when and are independent normal and logistic random variables. The normal and logistic distributions have been two of the most popular models for measurement errors in engineering.
Manfred Stoll, James Roberts (1976)
Studia Mathematica
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A. Chakak, L. Imhali (2003)
RACSAM
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For a random rotation X = M e where M is a 3 x 3 rotation, ε is a trivariate random vector, and φ(ε) is a skew symmetric matrix, the least squares criterion consists of seeking a rotation M called the mean rotation minimizing tr[(M - E(X)) (M - E(X))]. Some conditions on the distribution of ε are set so that the least squares estimator is unbiased. Of interest is when ε is normally distributed N(0;Σ). Unbiasedness of the least squares estimator is dealt with according to eigenvalues...
J. M. Hammersley (1952)
Compositio Mathematica
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