A bias-robust estimate of the scale parameter of the exponential distribution under violation of the hazard function
J. Bartoszewicz, R. Zieliński (1985)
Applicationes Mathematicae
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Displaying similar documents to “Mean-square-error-robustness of linear estimates in the exponential model”
A bias-robust estimate of the scale parameter of the exponential distribution under violation of the hazard function
A most bias-robust linear estimate of the scale parameter of the exponential distribution
R. Zieliński (1983)
Applicationes Mathematicae
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On the linear combinations of spacings and the restricted range in the exponential populations
G. S. Lingappaiah (1983)
Applicationes Mathematicae
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On robust estimation in the simplest exponential model
R. Zieliński, W. Zieliński (1984)
Applicationes Mathematicae
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On the most bias-robust linear estimates of the scale parameter of the exponential distribution
J. Bartoszewicz (1984)
Applicationes Mathematicae
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Bias-robust estimates based on order statistics and spacings in the exponential model
J. Bartoszewicz (1987)
Applicationes Mathematicae
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Analysis on the individual efficiency prediction in the composed error frontier model. A Monte Carlo study.
Rafaela Dios Palomares, Antonio Ramos Millán, José Angel Roldán-Casas (2002)
Qüestiió
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This study seeks to analyse some important questions related to the Stochastic Frontier Model, such as the method proposed by Jondrow et al (1982) to separate the error term into its two components, and the measure of efficiency given by Timmer (1971). To this purpose, a Monte Carlo experiment has been carried out using the Half-Normal and Normal-Exponential specifications throughout the rank of the γ parameter. The estimation errors have been eliminated, so that the intrinsic variability...
Exact simultaneous location-scale tests for two shifted exponential samples
Amitava Mukherjee, Zhi Lin Chong, Marco Marozzi (2019)
Kybernetika
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The failure time distribution for various items often follows a shifted (two-parameter) exponential model and not the traditional (one-parameter) exponential model. The shifted exponential is very useful in practice, in particular in the engineering, biomedical sciences and industrial quality control when modeling time to event or survival data. The open problem of simultaneous testing for differences in origin and scale parameters of two shifted exponential distributions is addressed....
Gamma-Admissibility of Estimators in the One-Parameter Exponential Family.
J. Eichenauer-Herrmann ([unknown])
Metrika
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Inadmissibility of two estimators of reliability in the exponential case
J. Bartoszewicz (1983)
Applicationes Mathematicae
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Generalized probability functions.
Souto Martinez, Alexandre, Silva González, Rodrigo, Sangaletti Terçariol, César Augusto (2009)
Advances in Mathematical Physics
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Tables for processes with exponential white noise
Jiří Anděl, Karel Zvára (1988)
Kybernetika
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Further discussion on second-order efficiency for estimation.
S. Eguchi (1993)
Qüestiió
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On non-existence of moment estimators of the GED power parameter
Bartosz Stawiarski (2016)
Discussiones Mathematicae Probability and Statistics
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We reconsider the problem of the power (also called shape) parameter estimation within symmetric, zero-mean, unit-variance one-parameter Generalized Error Distribution family. Focusing on moment estimators for the parameter in question, through extensive Monte Carlo simulations we analyze the probability of non-existence of moment estimators for small and moderate samples, depending on the shape parameter value and the sample size. We consider a nonparametric bootstrap approach and prove...