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A simple Bayesian estimation of the gumbel distribution

2008 IEEE International Conference on Industrial Engineering and Engineering Management, 2008
Practical use of Bayesian estimation of two-parameter Gumbel distribution often requires a two-dimensional joint prior distribution of the Gumbel parameters. It is particularly difficult to convince practitioners to believe any results from their subjective prior distribution.
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A Note on the Exchangeable Generalized Farlie-Gumbel-Morgenstern Distributions

Communications in Statistics - Simulation and Computation, 1975
In this note we find a necessary condition and a sufficient condition for a multivariate Farlie-Gumbel-Morgenstern (FGM) distribution to be positively dependent in a sense of Dykstra et al. (1973), Sidak (1973) and Shaked (197S). Applications of the results to problems in the theory of 8ayesian survey sampling and in reliability theory are discussed.
openaire   +2 more sources

ACCEPTANCE SAMPLING PLANS FOR PERCENTILES OF GUMBEL DISTRIBUTION

Far East Journal of Theoretical Statistics, 2021
Rao, B. Srinivas   +2 more
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A Review of the Gumbel-Max Trick and Its Extensions for Discrete Stochasticity in Machine Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Wouter Kool   +2 more
exaly  

Gumbel Mixture Modelling for Multiple Failure Data

Reliability Engineering and System Safety, 2023
Simon Oman   +2 more
exaly  

Stochastic Comparisons of Series and Parallel Systems With Independent Heterogeneous Gumbel and Truncated Gumbel Components

International Journal of Quality and Reliability Management, 2021
Fatih Kizilaslan
exaly  

Generalized Gumbel Distribution

Journal of Applied Statistics, 2010
Kahadawala Cooray
exaly  

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