A study of the effect of the loss function on Bayes Estimate, posterior risk and hazard function for Lindley distribution

By Sajid Ali, Muhammad Aslam, Syed Mohsin Ali Kazmi. 2013

64 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7ca6015e4f1b3aa28c0dda77e91d53802f7ab0bd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Sanku Dey
2. Fernando Antonio Moala
3. Devendra Kumar
4. Sajid Ali

In Statistics and Probability

1. Sanku Dey
2. Devendra Kumar
3. Fernando Antonio Moala
4. Sajid Ali

Citations in the corpus

• On the Bayesian estimation of the weighted Lindley distribution (2015, background): “More detail about these loss function can be seen in Ali et al.[13] The following Table 1 will show the BEs and their PRs under above-mentioned loss functions.”
• Statistical properties and different methods of estimation of Gompertz distribution with application (2018, methodology): “Below we provide an MCMC algorithm and the loss functions (See Ali et al. (2013); Dey et al. (2015)) used to compute the Bayes estimates and their respective posterior risk (see Table 2).”