Mixed-effects regression models in linguistics. ([2018])

• Record Type: Book
• Further Information: Note: Dirk Speelman, Kris Heylen, Dirk Geeraerts, editors.
• Editors: Speelman, Dirk; Heylen, Kris; Geeraerts, Dirk
• Contents: Introduction -- Mixed models with emphasis on large data sets -- The L2 impact on learning L3 Dutch: the L2 distance effect -- Autocorrelated errors in experimental data in the language sciences: some solutions offered by generalized additive mixed models -- Border effects among Catalan dialects -- Evaluating logistic mixed-effects models of corpus-linguistic data in light of lexical diffusion -- (Non)metonymic expressions for government in Chinese: a mixed-effects logistic regression analysis.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2018
• Extent: 1 online resource (VII, 146 pages), 35 illustrations, 18 illustrations in color
• Subjects: 410.1/51; Statistics; Linguistics -- Statistical methods; Grammar, Comparative and general -- Syntax; Semantics; Grammar, Comparative and general; LANGUAGE ARTS & DISCIPLINES -- Linguistics -- Historical & Comparative; Statistics; Grammar, Comparative and general -- Syntax; Semantics; Language Arts & Disciplines -- Linguistics -- Semantics; Language Arts & Disciplines -- Grammar & Punctuation; Semantics, discourse analysis, etc; Grammar, syntax & morphology; Social Science -- Statistics; Social research & statistics; Statistics; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law; Semantics; Syntax; Electronic books
• Languages: English
• ISBNs: 9783319698304; 3319698303
• Related ISBNs: 9783319698281; 3319698281
• Notes: Note: References7 (Non) metonymic Expressions for government in Chinese: A Mixed-Effects Logistic Regression Analysis; 1 Introduction; 2 Methodology; 2.1 Data Collection; 2.1.1 Corpus Design; 2.1.2 Potential Expressions for government and Data Retrieval; 2.1.3 Meaning Identification in Contexts; 2.2 The Variables; 2.2.1 The Response Variable Meto; 2.2.2 The Predictors; 2.2.3 Summary of the Variables; 2.3 The Mixed-Effects Logistic Regression Model; 2.3.1 The Random Effect: Verb; 2.3.2 Model Selection and Diagnostics; 2.3.3 The Regression Output; 3 The General Regression Model for government.
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