scientific article; zbMATH DE number 7288657
zbMath1455.62046MaRDI QIDQ5141661
Unnamed Author, Aditi Kar Gangopadhyay
Publication date: 18 December 2020
Full work available at URL: http://www.pvamu.edu/aam/wp-content/uploads/sites/182/2020/12/10_R1387_AAM_Gangopadhyay_AKG_032220_Published_121020.pdf
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
inadmissibilityentropy loss functionUMRU estimatorselection ruleuniform distributionsnatural estimatorsgeneralized Stein loss (GSL) function
Exact distribution theory in statistics (62E15) Extreme value theory; extremal stochastic processes (60G70) Probability distributions: general theory (60E05) Characterization and structure theory of statistical distributions (62E10)
Related Items (2)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On risk unbiased estimation after selection
- Estimation after selection from exponential populations with unequal scale parameters
- Estimation of the parameter of the selected uniform population under the entropy loss function
- Estimating parameters of a selected Pareto population
- Estimating the parameter of the population selected from discrete exponential family
- Simultaneous estimation of Poisson means of the selected subset
- On selecting the largest success probability under unequal sample sizes
- On estimating the location parameter of the selected exponential population under the LINEX loss function
- Improving on equivariant estimators
- Estimation after selection from gamma populations with unequal known shape parameters
- On estimating the scale parameter of the selected uniform population under the entropy loss function
- Admissible and minimax estimation of the parameter of the selected Pareto population under squared log error loss function
- On some inadmissibility results for the scale parameters of selected gamma populations
- On estimating the scale parameter of the selected gamma population under the scale invariant squared error loss function
- Selecting The Exponential Population Having The Larger Guarantee Time With Unequal Sample Sizes
- Estimation After Selection Under Reflected Normal Loss Function
- Average worth estimation of the selected subset of Poisson populations
- Selecting the Better of Two Binomial Populations: Optimal Decision Rules
- On Selecting a Subset Which Contains All Populations Better Than a Standard
- Extension of a Two-Stage Conditionally Unbiased Estimator of the Selected Population to the Bivariate Normal Case
- Estimating the mean of the selected uniform population
- Selecting the better binomial population with unequal sample sizes
- Estimating the parameter of selected uniform population under the squared log error loss function
- A General Concept of Unbiasedness
This page was built for publication: