Bayesian estimation of Erlang distribution under different generalized truncated distributions as priors
Journal of Modern Applied Statistical Methods, ISSN: 1538-9472, Vol: 11, Issue: 2, Page: 416-442
2012
- 2Citations
- 743Usage
- 4Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations2
- Citation Indexes2
- CrossRef2
- Usage743
- Downloads703
- Abstract Views40
- Captures4
- Readers4
Article Description
Various generalized truncated distributions are considered as independent informative priors for estimating shape and scale parameters of the Erlang distribution. In addition, various special cases are also discussed. © 2012 JMASM, Inc.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84875264416&origin=inward; http://dx.doi.org/10.22237/jmasm/1351743180; https://jmasm.com/index.php/jmasm/article/view/622; https://digitalcommons.wayne.edu/jmasm/vol11/iss2/14; https://digitalcommons.wayne.edu/cgi/viewcontent.cgi?article=1043&context=jmasm; https://dx.doi.org/10.22237/jmasm/1351743180
The Netherlands Press
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