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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
A numericalexample is also provided
📌 3 Key Takeaways
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Objective & Hypothesis:In this study, maximum likelihood, proportion and modiŞed maximum likelihood estimators ofdiscrete Burr distribution parameters based on Type I censored sample are obtained.
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Key Findings & Data:Monte Carlo simulationstudy is performed to compare these estimators in terms of their biases and mean squared errors.
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Conclusion & Impact:A numericalexample is also provided
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Discrete Burr distribution · Maximum likelihood · ModiŞed maximum likelihood
Abstract
In this study, maximum likelihood, proportion and modiŞed maximum likelihood estimators ofdiscrete Burr distribution parameters based on Type I censored sample are obtained. Monte Carlo simulationstudy is performed to compare these estimators in terms of their biases and mean squared errors. A numericalexample is also provided
Keywords
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Cite This Article
AKDOĞAN, Y., KUŞ, C., KINACI., İ. (2014). POINT ESTIMATION OF PARAMETERS IN DISCRETE BURR DISTRIBUTION BASED ON TYPE. Türkiye İstatistik Derneği İstatistik Dergisi, Cilt: 7 - Sayı: 3, 80–86. https://ajindex.com/articles/812579