Improving the parameter estimation under interval-censored exponential lifetimes
The present study proposes several methods for improving the parameter estimation of interval-censored exponential lifetime data. These methods can be regarded as the versions of substitution method which are based on the most probable time of occurring failures or the meantime of failures in each inspection interval. Based on simulation studies, the methods proposed in this present study can improve the existing estimators which are based on the midpoint of inspection intervals “or” the exponential probability plot.
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The parameter estimation methods for the exponential distribution under interval censored data; A comparison study
Nader Asadian, Mohamad Hossein Poursaeed *
Journal of Quality Engineering and Management, -
Smallest Confidence Region for the Mean and Standard Deviation of Two-Parameter Uniform Distribution
MohammadHossein Poursaeed*
Journal of Statistical Sciences,