Zieliński (2012) showed the existence of the shortest confidence interval for a probability of success in a negative binomial distribution. The method of obtaining such an interval was presented as well. Unfortunately, the confidence interval obtained has one disadvantage: it does not keep the prescribed confidence level. In the present article, a small modification is introduced, after which the resulting shortest confidence interval does not have that disadvantage.
The existence of the shortest confidence interval for the probability of success in a negative binomial distribution is shown. The method of obtaining such an interval is presented as well. The interval obtained is compared with the Clopper-Pearson shortest confidence interval for the probability in the binomial model.
In gaussian linear models with known matrices covariance, the problem of robust estimation of a given linear function f of variance components is considered. An estimator of robust is constructed which is the most stable (most model-robust) to changes of the kurtosis of the original distributions.
Ryszard Zieliński (1 July1932 - 30 April 2012) Ryszard Zielinski was born on 1 July 1932 in Warsaw, where he lived till the fall of the Warsaw Uprising in October 1944. After the Uprising the whole family was relocated from Warsaw to the German transit camp in Prushkov, near Warsaw. After his mother passed away he moved to the nearby city of Piastow. In 1950 he enrolled in the Main School of Planning and Statistics (SGPIS, currently The Warsaw School of Economics), and in 1953 he obtained...
For two normal distributions N(μ₁,σ²) and N(μ₂,σ²) the problem is to decide whether |μ₁-μ₂|≤ ε for a given ε. Two decision rules are given: maximin and bayesian for σ² known and unknown.
Standard statistical procedures for variance in Gaussian models are not robust against departures from normality. One of the possible reasons is that the variance of the variance estimate depens on kurtosis of the underlying distribution. In the paper, the most robust estimate of the variance in a class of quadratic forms is constructed.
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