Mixed-Effects Regression Models in Linguistics
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Mixed-Effects Regression Models in Linguistics
Heylen, Kris; Speelman, Dirk; Geeraerts, Dirk
Springer International Publishing AG
06/2019
146
Mole
Inglês
9783319888507
15 a 20 dias
454
Descrição não disponível.
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 O?ered 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.
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effects models;generalized linear mixed models;linguistics;mixed models;regression;semantics
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 O?ered 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.