Autocorrelated errors in experimental data in the language sciences: Some solutions offered by Generalized Additive Mixed Models

R. Harald Baayen; Jacolien van Rij; Cécile de Cat; Simon Wood

doi:10.1007/978-3-319-69830-4

Autocorrelated errors in experimental data in the language sciences: Some solutions offered by Generalized Additive Mixed Models

R. Harald Baayen, Jacolien van Rij, Cécile de Cat, Simon Wood

Kunstmatige Intelligentie

Onderzoeksoutput › Academic › peer review

Originele taal-2	English
Titel	Mixed-Effects Regression Models in Linguistics
Redacteuren	Dirk Speelman, Kris Heylen, Dirk Geeraerts
Uitgeverij	Springer International Publishing AG
Hoofdstuk	4
Pagina's	49-69
ISBN van elektronische versie	978-3-319-69830-4
ISBN van geprinte versie	978-3-319-69828-1
DOI's	https://doi.org/10.1007/978-3-319-69830-4
Status	Published - 2018

Publicatie series

Naam	Quantitative Methods in the Humanities and Social Sciences
Uitgeverij	Springer International Publishing AG
ISSN van elektronische versie	2199-0956

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10.1007/978-3-319-69830-4

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Baayen, R. H., van Rij, J., de Cat, C., & Wood, S. (2018). Autocorrelated errors in experimental data in the language sciences: Some solutions offered by Generalized Additive Mixed Models. In D. Speelman, K. Heylen, & D. Geeraerts (editors), Mixed-Effects Regression Models in Linguistics (blz. 49-69). (Quantitative Methods in the Humanities and Social Sciences). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-69830-4

Baayen, R. Harald ; van Rij, Jacolien ; de Cat, Cécile et al. / Autocorrelated errors in experimental data in the language sciences : Some solutions offered by Generalized Additive Mixed Models. Mixed-Effects Regression Models in Linguistics. redacteur / Dirk Speelman ; Kris Heylen ; Dirk Geeraerts. Springer International Publishing AG, 2018. blz. 49-69 (Quantitative Methods in the Humanities and Social Sciences).

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title = "Autocorrelated errors in experimental data in the language sciences: Some solutions offered by Generalized Additive Mixed Models",

author = "Baayen, {R. Harald} and {van Rij}, Jacolien and {de Cat}, C{\'e}cile and Simon Wood",

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doi = "10.1007/978-3-319-69830-4",

language = "English",

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Baayen, RH, van Rij, J, de Cat, C & Wood, S 2018, Autocorrelated errors in experimental data in the language sciences: Some solutions offered by Generalized Additive Mixed Models. in D Speelman, K Heylen & D Geeraerts (uitgave), Mixed-Effects Regression Models in Linguistics. Quantitative Methods in the Humanities and Social Sciences, Springer International Publishing AG, blz. 49-69. https://doi.org/10.1007/978-3-319-69830-4

Autocorrelated errors in experimental data in the language sciences: Some solutions offered by Generalized Additive Mixed Models. / Baayen, R. Harald; van Rij, Jacolien; de Cat, Cécile et al.
Mixed-Effects Regression Models in Linguistics. uitgave / Dirk Speelman; Kris Heylen; Dirk Geeraerts. Springer International Publishing AG, 2018. blz. 49-69 (Quantitative Methods in the Humanities and Social Sciences).

Onderzoeksoutput › Academic › peer review

TY - CHAP

T1 - Autocorrelated errors in experimental data in the language sciences

T2 - Some solutions offered by Generalized Additive Mixed Models

AU - Baayen, R. Harald

AU - van Rij, Jacolien

AU - de Cat, Cécile

AU - Wood, Simon

PY - 2018

Y1 - 2018

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DO - 10.1007/978-3-319-69830-4

M3 - Chapter

SN - 978-3-319-69828-1

T3 - Quantitative Methods in the Humanities and Social Sciences

SP - 49

EP - 69

BT - Mixed-Effects Regression Models in Linguistics

A2 - Speelman, Dirk

A2 - Heylen, Kris

A2 - Geeraerts, Dirk

PB - Springer International Publishing AG

ER -

Baayen RH, van Rij J, de Cat C, Wood S. Autocorrelated errors in experimental data in the language sciences: Some solutions offered by Generalized Additive Mixed Models. In Speelman D, Heylen K, Geeraerts D, redacteurs, Mixed-Effects Regression Models in Linguistics. Springer International Publishing AG. 2018. blz. 49-69. (Quantitative Methods in the Humanities and Social Sciences). doi: 10.1007/978-3-319-69830-4