Uniform Location Model: Equivariant Estimation based on Progressively Censored Samples

T. Leo Alexander

doi:https://doi.org/10.14445/22315373/IJMTT-V19P502

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 19 | Number 1 | Year 2015 | Article Id. IJMTT-V19P502 | DOI : https://doi.org/10.14445/22315373/IJMTT-V19P502

Uniform Location Model: Equivariant Estimation based on Progressively Censored Samples

T. Leo Alexander

Abstract

In this paper, we consider uniform model and obtain minimum risk Equivariant estimators of the parameters based on type-II progressively censored samples under Standardized quadratic loss function, Absolute error loss function and Linex loss function. These generalize the corresponding results for Type-II censored samples. Leo Alexander (2000).

Keywords

Equivariant estimation, Location model, Optimal estimation, Progressive censored sampleand Uniform model.

References

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Citation :

T. Leo Alexander, "Uniform Location Model: Equivariant Estimation based on Progressively Censored Samples," International Journal of Mathematics Trends and Technology (IJMTT), vol. 19, no. 1, pp. 7-13, 2015. Crossref, https://doi.org/10.14445/22315373/IJMTT-V19P502