Bayesian analysis for the Lomax model using noninformative priors
نویسندگان
چکیده
The Lomax distribution is an important member in the family. In this paper, we systematically develop objective Bayesian analysis of data from a distribution. Noninformative priors, including probability matching maximal information (MDI) prior, Jeffreys prior and reference are derived. propriety posterior under each subsequently validated. It revealed that MDI one priors yield improper posteriors, other second-order prior. A simulation study conducted to assess frequentist performance proposed approach. Finally, approach along with bootstrap method applied real set.
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ژورنال
عنوان ژورنال: Statistical theory and related fields
سال: 2022
ISSN: ['2475-4269', '2475-4277']
DOI: https://doi.org/10.1080/24754269.2022.2133466