Bayesian analysis for the Lomax model using noninformative priors

Publication typeJournal Article
Publication date2022-10-14
scimago Q3
wos Q2
SJR0.319
CiteScore1.2
Impact factor1.3
ISSN24754269, 24754277
Statistics and Probability
Computational Theory and Mathematics
Applied Mathematics
Statistics, Probability and Uncertainty
Analysis
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GOST Copy
He D., Sun D., Zhu Q. Bayesian analysis for the Lomax model using noninformative priors // Statistical Theory and Related Fields. 2022. pp. 1-8.
GOST all authors (up to 50) Copy
He D., Sun D., Zhu Q. Bayesian analysis for the Lomax model using noninformative priors // Statistical Theory and Related Fields. 2022. pp. 1-8.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1080/24754269.2022.2133466
UR - https://doi.org/10.1080/24754269.2022.2133466
TI - Bayesian analysis for the Lomax model using noninformative priors
T2 - Statistical Theory and Related Fields
AU - He, Daojiang
AU - Sun, Dongchu
AU - Zhu, Qing
PY - 2022
DA - 2022/10/14
PB - Taylor & Francis
SP - 1-8
SN - 2475-4269
SN - 2475-4277
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2022_He,
author = {Daojiang He and Dongchu Sun and Qing Zhu},
title = {Bayesian analysis for the Lomax model using noninformative priors},
journal = {Statistical Theory and Related Fields},
year = {2022},
publisher = {Taylor & Francis},
month = {oct},
url = {https://doi.org/10.1080/24754269.2022.2133466},
pages = {1--8},
doi = {10.1080/24754269.2022.2133466}
}