Name
Abstract | ||
|---|---|---|
In this article, we propose a shrinkage estimator for the scale parameter of the Gamma distribution when the prior information is available and compare it with minimum mean square error (MMSE) of its usual estimator in the sense of efficiency. The proposed shrinkage estimator has smaller Mean Square Error (MSE) than MMSE estimator when the prior estimate is good. The properties of shrinkage estimator have been studied in terms of bias and mean square error. Numerical illustrations are carried out to throw light on the performance of the proposed method of estimation other conventional estimators. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1080/03610918.2019.1705976 | COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION |
Keywords | DocType | Volume |
Gamma distribution, Minimum mean square error, Minimum variance unbiased estimator, Scale Parameter, Shrinkage estimator | Journal | 51 |
Issue | ISSN | Citations |
6 | 0361-0918 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gajendra K. Vishwakarma | 1 | 3 | 5.12 |
| Shubham Gupta | 2 | 0 | 0.34 |