Mathematics > Statistics Theory
[Submitted on 24 Aug 2015]
Title:Comments on the estimate for Pareto Distribution
View PDFAbstract:Dixit and Jabbari Nooghabi (2010) had derived the MLE and UMVUE of the probability density function (pdf) and cumulative distributive function (cdf). Further, it had been shown that MLE is more efficient than UMVUE. He, Zhou and Zhang (2014) have also derived the same and made a remark that the work of Dixit and Jabbari Nooghabi (2010) is not correct. We have made a comments with detail algebra that our results are correct. Further, we have also given the R code.
Current browse context:
math.ST
References & Citations
Bibliographic and Citation Tools
Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)
Code, Data and Media Associated with this Article
alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)
Demos
Recommenders and Search Tools
Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)
arXivLabs: experimental projects with community collaborators
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.