Observation error model selection by information criteria vs. normality testing

Research article (Studia Geophysica et Geodaetica, 2015) · cited 22× · AI/ML
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Observation error model selection by information criteria vs. normality testing

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Observation error model selection by information criteria vs. normality testing is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Observation error model selection by information criteria vs. normality testing. Retrieved May 24, 2026, from https://4ort.xyz/entity/observation-error-model-selection-by-information-criteria-vs-normality-testing
MLA “Observation error model selection by information criteria vs. normality testing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/observation-error-model-selection-by-information-criteria-vs-normality-testing.
BibTeX @misc{4ortxyz_observation-error-model-selection-by-information-criteria-vs-normality-testing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Observation error model selection by information criteria vs. normality testing}}, year = {2026}, url = {https://4ort.xyz/entity/observation-error-model-selection-by-information-criteria-vs-normality-testing}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Observation error model selection by information criteria vs. normality testing — https://4ort.xyz/entity/observation-error-model-selection-by-information-criteria-vs-normality-testing (retrieved 2026-05-24)

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