Home › Entities › academia › Modeling Linguistic Variables With Regression Models: Addressing Non-Gaussian Distributions, Non-independent Observations, and Non-linear Predictors With Random Effects and Generalized Additive Models for Location, Scale, and Shape

Modeling Linguistic Variables With Regression Models: Addressing Non-Gaussian Distributions, Non-independent Observations, and Non-linear Predictors With Random Effects and Generalized Additive Models for Location, Scale, and Shape

Research article (Frontiers in Psychology, 2018) · cited 51× · AI/ML
academia openalex:W2801080079
Press Enter · cited answer in seconds

Modeling Linguistic Variables With Regression Models: Addressing Non-Gaussian Distributions, Non-independent Observations, and Non-linear Predictors With Random Effects and Generalized Additive Models for Location, Scale, and Shape

Summary

Modeling Linguistic Variables With Regression Models: Addressing Non-Gaussian Distributions, Non-independent Observations, and Non-linear Predictors With Random Effects and Generalized Additive Models for Location, Scale, and Shape is a scholarly article[1].

Key Facts

  • Modeling Linguistic Variables With Regression Models: Addressing Non-Gaussian Distributions, Non-independent Observations, and Non-linear Predictors With Random Effects and Generalized Additive Models for Location, Scale, and Shape's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Modeling Linguistic Variables With Regression Models: Addressing Non-Gaussian Distributions, Non-independent Observations, and Non-linear Predictors With Random Effects and Generalized Additive Models for Location, Scale, and Shape. Retrieved May 24, 2026, from https://4ort.xyz/entity/modeling-linguistic-variables-with-regression-models-addressing-non-gaussian-distributions-non-independent-observations-
MLA “Modeling Linguistic Variables With Regression Models: Addressing Non-Gaussian Distributions, Non-independent Observations, and Non-linear Predictors With Random Effects and Generalized Additive Models for Location, Scale, and Shape.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modeling-linguistic-variables-with-regression-models-addressing-non-gaussian-distributions-non-independent-observations-.
BibTeX @misc{4ortxyz_modeling-linguistic-variables-with-regression-models-addressing-non-gaussian-distributions-non-independent-observations-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modeling Linguistic Variables With Regression Models: Addressing Non-Gaussian Distributions, Non-independent Observations, and Non-linear Predictors With Random Effects and Generalized Additive Models for Location, Scale, and Shape}}, year = {2026}, url = {https://4ort.xyz/entity/modeling-linguistic-variables-with-regression-models-addressing-non-gaussian-distributions-non-independent-observations-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Modeling Linguistic Variables With Regression Models: Addressing Non-Gaussian Distributions, Non-independent Observations, and Non-linear Predictors With Random Effects and Generalized Additive Models for Location, Scale, and Shape — https://4ort.xyz/entity/modeling-linguistic-variables-with-regression-models-addressing-non-gaussian-distributions-non-independent-observations- (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/modeling-linguistic-variables-with-regression-models-addressing-non-gaussian-distributions-non-independent-observations- · Last refreshed: