Employ shrinkage technique during estimate normal distribution mean

Abdul-Nabi, Ahmed Issa; Salman, Abbas Najim; Ameen, Maymona M.

doi:10.1080/09720502.2021.1892274

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Shrinkage Estimation Methods (Sh)1

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2023

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“…Where (1 − Ψ (α ub )) signifies to trust of α 0 and Ψ (α ub ) mentions to the belief of αub , which could be fixed value or depends on αub or can be discovered by reducing the MSE for αsh ; see [12,13,14,15]. In this section, we look at how sample sizes n, m and k affect the shrinkage weight factor in Eq.…”

Section: Shrinkage Estimation Methods (Sh)mentioning

confidence: 99%

Comparison Various Estimation Methods for R = P (Y1 < X < Y2) Utilizing Restricted Generalized Weibull Distribution

2023

Advances in the Theory of Nonlinear Analysis and Its Application

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The stress-strength S-S method employs a variety of estimation techniques, including maximum likelihood, shrinkage and least square, to determine and estimate the reliability of a particular system R = P (Y 1 < X < Y 2 ) while the system contains a single component with strength X subject to two stresses, Y 1 and Y 2 . With the consumption of Monte Carlo simulation and the statistical measurement Mean Squared Error (MSE), the various estimation methods have been evaluated according to the Restricted Generalized Weibull Distribution (RGWD), the stresses Y 1 and Y 2 and the strength X constitute independent, non-identical random variables in our S-S model.

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Section: Shrinkage Estimation Methods (Sh)mentioning

confidence: 99%

Comparison Various Estimation Methods for R = P (Y1 < X < Y2) Utilizing Restricted Generalized Weibull Distribution

2023

Advances in the Theory of Nonlinear Analysis and Its Application

View full text Add to dashboard Cite

show abstract

Employ shrinkage technique during estimate normal distribution mean

Cited by 1 publication

References 3 publications

Comparison Various Estimation Methods for R = P (Y1 < X < Y2) Utilizing Restricted Generalized Weibull Distribution

Comparison Various Estimation Methods for R = P (Y1 < X < Y2) Utilizing Restricted Generalized Weibull Distribution

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