Home ›
Entities
› academia
› An empirical approach to determine a threshold for assessing overdispersion in Poisson and negative binomial models for count data
An empirical approach to determine a threshold for assessing overdispersion in Poisson and negative binomial models for count data
Research article (Communications in Statistics - Simulation and Computation, 2017) · cited 156× · AI/ML
An empirical approach to determine a threshold for assessing overdispersion in Poisson and negative binomial models for count data
Summary
An empirical approach to determine a threshold for assessing overdispersion in Poisson and negative binomial models for count data is a scholarly article[1].
Key Facts
An empirical approach to determine a threshold for assessing overdispersion in Poisson and negative binomial models for count data's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). An empirical approach to determine a threshold for assessing overdispersion in Poisson and negative binomial models for count data. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-empirical-approach-to-determine-a-threshold-for-assessing-overdispersion-in-poisson-and-negative-binomial-models-for-
MLA“An empirical approach to determine a threshold for assessing overdispersion in Poisson and negative binomial models for count data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-empirical-approach-to-determine-a-threshold-for-assessing-overdispersion-in-poisson-and-negative-binomial-models-for-.
BibTeX@misc{4ortxyz_an-empirical-approach-to-determine-a-threshold-for-assessing-overdispersion-in-poisson-and-negative-binomial-models-for-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An empirical approach to determine a threshold for assessing overdispersion in Poisson and negative binomial models for count data}}, year = {2026}, url = {https://4ort.xyz/entity/an-empirical-approach-to-determine-a-threshold-for-assessing-overdispersion-in-poisson-and-negative-binomial-models-for-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An empirical approach to determine a threshold for assessing overdispersion in Poisson and negative binomial models for count data — https://4ort.xyz/entity/an-empirical-approach-to-determine-a-threshold-for-assessing-overdispersion-in-poisson-and-negative-binomial-models-for- (retrieved 2026-05-24)
