Authors :
Uma Srivastava; Harish Kumar
Volume/Issue :
Volume 7 - 2022, Issue 7 - July
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3zsZHo9
DOI :
https://doi.org/10.5281/zenodo.6956269
Abstract :
This paper estimates the single cut-point in the
mean of a Burr III Sequence and its scale parameters
before and after the cut point. We introduce a strong
estimator of the parameters with the help of Bayesian
inference approach, by persevering these estimatorsin the
criteria used to estimate the cut-point under Linear
Exponential Loss Function. The simulation technique is
used compare the estimators. Open-source R software is
used in the simulation section. We have taken real data to
estimate the parameters of the sequence and then
hypothetical observations of the sequence to prove their
robustness of the estimators.
Keywords :
Cut Point, Burr III Sequence, Bayesian Inference, Linear Exponential Loss
This paper estimates the single cut-point in the
mean of a Burr III Sequence and its scale parameters
before and after the cut point. We introduce a strong
estimator of the parameters with the help of Bayesian
inference approach, by persevering these estimatorsin the
criteria used to estimate the cut-point under Linear
Exponential Loss Function. The simulation technique is
used compare the estimators. Open-source R software is
used in the simulation section. We have taken real data to
estimate the parameters of the sequence and then
hypothetical observations of the sequence to prove their
robustness of the estimators.
Keywords :
Cut Point, Burr III Sequence, Bayesian Inference, Linear Exponential Loss
