Estimator Cramer Von Mises bagi Parameter Distribusi Kumaraswamy-Lindley

<em>The Kumaraswamy-Lindley (KL) distribution is a combination of the Lindley distribution and the Kumaraswamy distribution. The KL distribution is widely used to examine lifetime data. The importance of the application of the KL distribution in explaining lifetime data makes it necessary to estimate distribution parameters well. Therefore, this research will discuss the Cramer Von Mises Estimator (ECM) for the Kumaraswamy-Lindley distribution parameters. The formula for the ECM is obtained and the simulation is carried out using the same initial parameters with different generation sample sizes. The simulation results show that for the same initial parameters, estimation with a larger sample size has better results.</em>

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Publication Details

Journal
Indonesian Journal of Applied Statistics
Published
2024-10-28
DOI
https://doi.org/10.13057/ijas.v7i1.79911
Primary Topic
Computer Science and Engineering
Type
article
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article

Estimator Cramer Von Mises bagi Parameter Distribusi Kumaraswamy-Lindley

Bagus Arya Saputra, Zani Anjani Rafsanjani
Indonesian Journal of Applied Statistics
Computer Science and Engineering
article

Estimator Cramer Von Mises bagi Parameter Distribusi Kumaraswamy-Lindley

Bagus Arya Saputra, Zani Anjani Rafsanjani
article en

Abstract

<em>The Kumaraswamy-Lindley (KL) distribution is a combination of the Lindley distribution and the Kumaraswamy distribution. The KL distribution is widely used to examine lifetime data. The importance of the application of the KL distribution in explaining lifetime data makes it necessary to estimate distribution parameters well. Therefore, this research will discuss the Cramer Von Mises Estimator (ECM) for the Kumaraswamy-Lindley distribution parameters. The formula for the ECM is obtained and the simulation is carried out using the same initial parameters with different generation sample sizes. The simulation results show that for the same initial parameters, estimation with a larger sample size has better results.</em>

Indonesian Journal of Applied StatisticsVol. 7(1)
Diponegoro University (ID)
Openalex Percentile: Top 76%
Computer Science and Engineering
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