Accounting for auto‐dependency in binary dyadic time series data: A comparison of model‐ and permutation‐based approaches for testing pairwise associations

Research article (British Journal of Mathematical and Statistical Psychology, 2020) · cited 13× · AI/ML
Press Enter · cited answer in seconds

Accounting for auto‐dependency in binary dyadic time series data: A comparison of model‐ and permutation‐based approaches for testing pairwise associations

Summary

Accounting for auto‐dependency in binary dyadic time series data: A comparison of model‐ and permutation‐based approaches for testing pairwise associations is a scholarly article[1].

Key Facts

  • Accounting for auto‐dependency in binary dyadic time series data: A comparison of model‐ and permutation‐based approaches for testing pairwise associations's instance of is recorded as scholarly article[2].

📑 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). Accounting for auto‐dependency in binary dyadic time series data: A comparison of model‐ and permutation‐based approaches for testing pairwise associations. Retrieved May 24, 2026, from https://4ort.xyz/entity/accounting-for-autodependency-in-binary-dyadic-time-series-data-a-comparison-of-model-and-permutationbased-approaches-fo
MLA “Accounting for auto‐dependency in binary dyadic time series data: A comparison of model‐ and permutation‐based approaches for testing pairwise associations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/accounting-for-autodependency-in-binary-dyadic-time-series-data-a-comparison-of-model-and-permutationbased-approaches-fo.
BibTeX @misc{4ortxyz_accounting-for-autodependency-in-binary-dyadic-time-series-data-a-comparison-of-model-and-permutationbased-approaches-fo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Accounting for auto‐dependency in binary dyadic time series data: A comparison of model‐ and permutation‐based approaches for testing pairwise associations}}, year = {2026}, url = {https://4ort.xyz/entity/accounting-for-autodependency-in-binary-dyadic-time-series-data-a-comparison-of-model-and-permutationbased-approaches-fo}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Accounting for auto‐dependency in binary dyadic time series data: A comparison of model‐ and permutation‐based approaches for testing pairwise associations — https://4ort.xyz/entity/accounting-for-autodependency-in-binary-dyadic-time-series-data-a-comparison-of-model-and-permutationbased-approaches-fo (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/accounting-for-autodependency-in-binary-dyadic-time-series-data-a-comparison-of-model-and-permutationbased-approaches-fo · Last refreshed: