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Estimation for the three-parameter inverse Gaussian distribution under progressive Type-II censoring
Prasanta Basak
, N. Balakrishnan
Division of Mathematics & Natural Sciences (Altoona)
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peer-review
14
Scopus citations
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Dive into the research topics of 'Estimation for the three-parameter inverse Gaussian distribution under progressive Type-II censoring'. Together they form a unique fingerprint.
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Keyphrases
Parameter Estimation
100%
EM Algorithm
100%
Maximum Likelihood Estimation
100%
Three-parameter
100%
Inverse Gaussian Distribution
100%
Numerical Examples
50%
Two-parameter
50%
Numerical Methods
50%
Confidence Interval
50%
Monte Carlo Simulation
50%
Estimation Method
50%
Distribution-based
50%
Parameter Dependence
50%
Coverage Probability
50%
Asymptotic Variance
50%
Complete Sample
50%
Censored Sample
50%
Interval Estimation
50%
Lifetime Data
50%
Inferential Method
50%
Large Sample Theory
50%
Inverse Gaussian
50%
Missing Information Principle
50%
Asymptotic Covariance
50%
Progressively Type-II Censored Sample
50%
Mathematics
Progressive Type
100%
Large Sample Theory
50%