Modeling unobserved heterogeneity using finite mixture random parameters for spatially correlated discrete count data
Summary
Modeling unobserved heterogeneity using finite mixture random parameters for spatially correlated discrete count data is a scholarly article[1].
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Modeling unobserved heterogeneity using finite mixture random parameters for spatially correlated discrete count data's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Modeling unobserved heterogeneity using finite mixture random parameters for spatially correlated discrete count data. Retrieved May 24, 2026, from https://4ort.xyz/entity/modeling-unobserved-heterogeneity-using-finite-mixture-random-parameters-for-spatially-correlated-discrete-count-data
MLA“Modeling unobserved heterogeneity using finite mixture random parameters for spatially correlated discrete count data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modeling-unobserved-heterogeneity-using-finite-mixture-random-parameters-for-spatially-correlated-discrete-count-data.
BibTeX@misc{4ortxyz_modeling-unobserved-heterogeneity-using-finite-mixture-random-parameters-for-spatially-correlated-discrete-count-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modeling unobserved heterogeneity using finite mixture random parameters for spatially correlated discrete count data}}, year = {2026}, url = {https://4ort.xyz/entity/modeling-unobserved-heterogeneity-using-finite-mixture-random-parameters-for-spatially-correlated-discrete-count-data}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Modeling unobserved heterogeneity using finite mixture random parameters for spatially correlated discrete count data — https://4ort.xyz/entity/modeling-unobserved-heterogeneity-using-finite-mixture-random-parameters-for-spatially-correlated-discrete-count-data (retrieved 2026-05-24)
