Mixed-Effects Regression Models in Linguistics

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Speelman, Dirk (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Heylen, Kris (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Geeraerts, Dirk (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Quantitative Methods in the Humanities and Social Sciences,
• Θέματα: Statistics .; Semantics.; Syntax.; Statistics for Social Sciences, Humanities, Law.

When data consist of grouped observations or clusters, and there is a risk that measurements within the same group are not independent, group-specific random effects can be added to a regression model in order to account for such within-group associations. Regression models that contain such group-s...

Πίνακας περιεχομένων:

• Chapter 1. Introduction
• Chapter 2. Mixed Models with Emphasis on Large Data Sets
• Chapter 3. The L2 Impact on Learning L3 Dutch: The L2 Distance Effect Job
• Chapter 4. Autocorrelated Errors in Experimental Data in the Language Sciences: Some Solutions Offered by Generalized Additive Mixed Models
• Chapter 5. Border Effects Among Catalan Dialects
• Chapter 6. Evaluating Logistic Mixed-Effects Models of Corpus-Linguistic Data in Light of Lexical Diffusion
• Chapter 7. (Non)metonymic Expressions for Government in Chinese: A Mixed-Effects Logistic Regression Analysis.