A Study on LINEX Loss Function with Different Estimating Methods

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ISSN Print: 2161-718X
ISSN Online: 2161-7198
www.scirp.org/journal/ojs
E-mail: ojs@scirp.org

"A Study on LINEX Loss Function with Different Estimating Methods"
written by N. Khatun, M. A. Matin,
published by Open Journal of Statistics, Vol.10 No.1, 2020

has been cited by the following article(s):

[1]	Estimation of Unknown Parameters of Truncated Normal Distribution under Adaptive Progressive Type II Censoring Scheme
	2021

[2]	Bayesian analysis of record statistic from the Inverse Weibull distribution under balanced loss function
	2021

[3]	Nonlinear Programming to Determine Best Weighted Coefficient of Balanced LINEX Loss Function Based on Lower Record Values
	2021

[4]	Estimation of unknown parameters of truncated normal distribution under adaptive progressive type II censoring scheme. Mathematics 2021, 9, 49
	2020

[1]	Bayesian Estimation Using Expected LINEX Loss Function: A Novel Approach with Applications Mathematics, 2022 DOI:10.3390/math10030436

[2]	Bayesian and Non-Bayesian Reliability Estimation of Stress-Strength Model for Power-Modified Lindley Distribution Computational Intelligence and Neuroscience, 2022 DOI:10.1155/2022/1154705

[3]	Bayesian Estimation of Different Scale Parameters Using a LINEX Loss Function Computational Intelligence and Neuroscience, 2022 DOI:10.1155/2022/4822212

[4]	Bayesian Analysis of Record Statistic from the Inverse Weibull Distribution under Balanced Loss Function Mathematical Problems in Engineering, 2021 DOI:10.1155/2021/6648462

[5]	Nonlinear Programming to Determine Best Weighted Coefficient of Balanced LINEX Loss Function Based on Lower Record Values Complexity, 2021 DOI:10.1155/2021/5273191

[6]	Estimation of Unknown Parameters of Truncated Normal Distribution under Adaptive Progressive Type II Censoring Scheme Mathematics, 2020 DOI:10.3390/math9010049

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