A Class of Improved Estimators for the Scale Parameter of a Mixture Model of Exponential Distribution with Unknown Location
DOI10.1080/03610920903205198zbMath1201.62032OpenAlexW2063129677MaRDI QIDQ3058418
Publication date: 22 November 2010
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610920903205198
decision theorymixture of exponential distributionsmultivariate Lomax distributionStein's estimator of a scale parameterBrewster's and Zidek's estimator of a scale parameterexponential-inverse Gaussian distribution
Point estimation (62F10) Robustness and adaptive procedures (parametric inference) (62F35) Statistical decision theory (62C99)
Related Items (4)
Cites Work
- Unnamed Item
- Properties of an inverse Gaussian mixture of bivariate exponential distribution and its generalization
- Estimation of a scale parameter in mixture models with unknown location
- Bivariate extension of Lomax and finite range distributions through characterization approach
- Alternative estimators for the scale parameter of the exponential distribution with unknown location
- Modelling losses using an exponential-inverse Gaussian distribution
- Improving on equivariant estimators
- Inadmissibility of the usual estimator for the variance of a normal distribution with unknown mean
- Estimating the scale parameter of the exponential distribution with unknown location
- A characterization of Gumbel's bivariate exponential and lindley and Singpurwalla's bivariate lomax distributions
- Multivariate distributions for the life lengths of components of a system sharing a common environment
- A CLASS OF IMPROVED ESTIMATORS FOR THE SCALE PARAMETER OF AN EXPONENTIAL DISTRIBUTION WITH UNKNOWN LOCATION
- Multivariate Lomax distribution: properties and usefulness in reliability theory
- Estimation of the common scale of several shifted exponential distributions with unknown locations
- Inadmissibility of the Usual Scale Estimate for a Shifted Exponential Distribution
- A Multivariate Survival Distribution Generated by an Inverse Gaussian Mixture of Exponentials
- Minimax estimators of a normal variance
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