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

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...

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Bibliographic Details
Main Authors: Xinyi Zeng, Wenhao Gui
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Entropy
Subjects:
truncated normal distribution
generalized progressive hybrid censoring scheme
expectation maximization algorithm
Bayesian estimate
Tierney and Kadane approximation
importance sampling
Online Access:https://www.mdpi.com/1099-4300/23/2/186

Internet

https://www.mdpi.com/1099-4300/23/2/186

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