Expectation identity of the negative binomial distribution and its application in the calculations of high-order origin moments

Publication type: Journal Article
Publication date: 2025-02-19
Taylor & Francis
scimago Q3
wos Q3
SJR: 0.462
CiteScore: 2.2
Impact factor: 0.8
ISSN: 03610926, 1532415X
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Zhang Y. Y. Expectation identity of the negative binomial distribution and its application in the calculations of high-order origin moments // Communications in Statistics - Theory and Methods. 2025. pp. 1-10.
GOST all authors (up to 50) Copy
Zhang Y. Y. Expectation identity of the negative binomial distribution and its application in the calculations of high-order origin moments // Communications in Statistics - Theory and Methods. 2025. pp. 1-10.
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RIS Copy
TY - JOUR
DO - 10.1080/03610926.2025.2461627
UR - https://www.tandfonline.com/doi/full/10.1080/03610926.2025.2461627
TI - Expectation identity of the negative binomial distribution and its application in the calculations of high-order origin moments
T2 - Communications in Statistics - Theory and Methods
AU - Zhang, Ying Ying
PY - 2025
DA - 2025/02/19
PB - Taylor & Francis
SP - 1-10
SN - 0361-0926
SN - 1532-415X
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Zhang,
author = {Ying Ying Zhang},
title = {Expectation identity of the negative binomial distribution and its application in the calculations of high-order origin moments},
journal = {Communications in Statistics - Theory and Methods},
year = {2025},
publisher = {Taylor & Francis},
month = {feb},
url = {https://www.tandfonline.com/doi/full/10.1080/03610926.2025.2461627},
pages = {1--10},
doi = {10.1080/03610926.2025.2461627}
}