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Detailangaben zum Buch - Quantitative Methods In Linguistics


EAN (ISBN-13): 9781444360431
ISBN (ISBN-10): 1444360434
Erscheinungsjahr: 2011
Herausgeber: John Wiley & Sons

Buch in der Datenbank seit 2008-01-06T15:52:15+01:00 (Berlin)
Detailseite zuletzt geändert am 2023-08-21T17:36:00+02:00 (Berlin)
ISBN/EAN: 1444360434

ISBN - alternative Schreibweisen:
1-4443-6043-4, 978-1-4443-6043-1
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: keith johnson, amis kingsley
Titel des Buches: quantitative linguistics


Daten vom Verlag:

Autor/in: Keith Johnson
Titel: Quantitative Methods In Linguistics
Verlag: Wiley-Blackwell; John Wiley & Sons
296 Seiten
Erscheinungsjahr: 2011-09-23
Sprache: Englisch
35,99 € (DE)
Not available (reason unspecified)

EA; E101; E-Book; Nonbooks, PBS / Sprachwissenschaft, Literaturwissenschaft; Sprachwissenschaft, Linguistik; Linguistics; Linguistik; Phonologie; Phonology; Sprachwissenschaften; Syntax; Allg. Sprachwissenschaften; Syntax; Phonologie; BC

Acknowledgments. Design of the Book. 1. Fundamentals of Quantitative Analysis. 1.1 What We Accomplish in Quantitative Analysis. 1.2 How to Describe an Observation. 1.3 Frequency Distributions: A Fundamental Building Block ofQuantitative Analysis. 1.4 Types of Distributions. 1.5 Is Normal Data, Well, Normal?. 1.6 Measures of Central Tendency. 1.7 Measures of Dispersion. 1.8 Standard Deviation of the Normal Distribution. Exercises. 2. Patterns and Tests. 2.1 Sampling. 2.2 Data. 2.3 Hypothesis Testing. 2.3.1 The Central Limit Theorem. 2.3.2 Score Keeping. 2.3.3 H0: µ = 100. 2.3.4 Type I and Type II Error. 2.4 Correlation. 2.4.1 Covariance and Correlation. 2.4.2 The Regression Line. 2.4.3 Amount of Variance Accounted For. Exercises. 3. Phonetics. 3.1 Comparing Mean Values. 3.1.1 Cherokee Voice Onset Time: µ1971=µ2001. 3.1.2 Samples Have Equal Variance. 3.1.3 If the Samples Do Not Have Equal Variance. 3.1.4 Paired t Test: Are Men Different from Women?. 3.1.5 The Sign Test. 3.2 Predicting the Back of the Tongue from the Front: MultipleRegression. 3.2.1 The Covariance Matrix. 3.2.2 More than One slope: The bi. 3.2.3 Selecting a Model. 3.3 Tongue Shape Factors: Principal Components Analysis. Exercises. 4. Psycholinguistics. 4.1 Analysis of Variance: One Factor, More than Two Levels. 4.2 Two Factors: Interaction. 4.3 Repeated Measures. 4.3.1 An Example of Repeated Measures ANOVA. 4.3.2 Repeated Measures ANOVA with a Between-SubjectsFactor. 4.4 The "Language as Fixed Effect" Fallacy. 4.5 Exercises. 5. Sociolinguistics. 5.1 When the Data are Counts - Contingency Tables. 5.1.1 Frequency in a Contingency Table. 5.2 Working with Probabilities: The Binomial Distribution. 5.2.1 Bush or Kerry?. 5.3 An Aside about Maximum Likelihood Estimation. 5.4 Logistic Regression. 5.5 An Example from the [ integral ]treets of Columbus. 5.5.1 On the Relationship between x2 and G2. 5.5.2 More than One Predictor. 5.6 Logistic Regression as Regression: An Ordinal Effect -Age. 5.7 Varbrul/R Comparison. Exercises. 6. Historical Linguistics. 6.1 Cladistics: Where Linguistics and Evolutionary BiologyMeet. 6.2 Clustering on the Basis of Shared Vocabulary. 6.3 Cladistic Analysis: Combining Character-Based Subtrees. 6.4 Clustering on the Basis of Spelling Similarity. 6.5 Multidimensional Scaling: A Language Similarity Space. Exercises. 7. Syntax. 7.1 Measuring Sentence Acceptability. 7.2 A Psychogrammatical Law?. 7.3 Linear Mixed Effects in the Syntactic Expression of Agentsin English. 7.3.1 Linear Regression: Overall, and Separately by Verbs. 7.3.2 Fitting a Linear Mixed-Effects Model: Fixed and RandomEffects. 7.3.3 Fitting Five More Mixed-Effects Models: Finding the BestModel. 7.4 Predicting the Dative Alternation: Logistic Modeling ofSyntactic Corpora Data. 7.4.1 Logistic Model of Dative Alternation. 7.4.2 Evaluating the Fit of the Model. 7.4.3 Adding a Random Factor: Mixed Effects LogisticRegression. Exercises. Appendix 7A. References. Index

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