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Statistical Inference of Truncated Normal Distribution Based on the Generalized Progressive Hybrid Censoring

In this paper, the parameter estimation problem of a truncated normal distribution is discussed based on the generalized progressive hybrid censored data. The desired maximum likelihood estimates of unknown quantities are firstly derived through the Newton–Raphson algorithm and the expectation maxim...

詳細記述

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書誌詳細
出版年:Entropy (Basel)
主要な著者: Zeng, Xinyi, Gui, Wenhao
フォーマット: Artigo
言語:Inglês
出版事項: MDPI 2021
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7912873/
https://ncbi.nlm.nih.gov/pubmed/33540595
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e23020186
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