Asymptotic optimality of sequential designs for estimation.
Rekab, Kamel (1995)
International Journal of Mathematics and Mathematical Sciences
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Rekab, Kamel (1995)
International Journal of Mathematics and Mathematical Sciences
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Rekab, Kamel (1990)
Journal of Applied Mathematics and Stochastic Analysis
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M. Krzyśko (1984)
Applicationes Mathematicae
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Alicja Jokiel-Rokita (2006)
Applicationes Mathematicae
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The problem of estimating the mean of a normal distribution is considered in the special case when the data arrive at random times. Certain classes of Bayes sequential estimation procedures are derived under LINEX and reflected normal loss function and with the observation cost determined by a function of the stopping time and the number of observations up to this time.
A. Irle (1985)
Banach Center Publications
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Elżbieta Ferenstein (1985)
Banach Center Publications
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Mekki Terbeche, Broderick O. Oluyede, Ahmed Barbour (2005)
SORT
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A fully sequential approach to the estimation of the difference of two population means for distributions belonging to the exponential family of distributions is adopted and compared with the best fixed design. Results on the lower bound for the Bayes risk due to estimation and expected costs are presented and shown to be of first order efficiency. Applications involving the Poisson and exponential distributions with gamma priors as well as the Bernouilli distribution with beta priors...
Govindarajulu, Z. (2000)
International Journal of Mathematics and Mathematical Sciences
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H. Heckendorff (1985)
Banach Center Publications
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Aoshima, Makoto, Govindarajulu, Zakkula (2002)
International Journal of Mathematics and Mathematical Sciences
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R. Zieliński (1982)
Applicationes Mathematicae
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John A. Bather (1985)
Banach Center Publications
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N. Mukhopadhyay, T.N. Sriram ([unknown])
Metrika
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