Statistical techniques for the study of language and language behaviour /:
No detailed description available for "Statistical Techniques for the Study of Language and Language Behaviour".
Gespeichert in:
| 1. Verfasser: | |
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| Weitere Verfasser: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin ; New York :
Mouton de Gruyter,
1993.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | No detailed description available for "Statistical Techniques for the Study of Language and Language Behaviour". |
| Beschreibung: | 1 online resource (xi, 400 pages) : illustrations |
| Format: | Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9783110871609 3110871602 |
Internformat
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| 245 | 1 | 0 | |a Statistical techniques for the study of language and language behaviour / |c Toni Rietveld, Roeland van Hout. |
| 246 | 3 | |a Statistical techniques for the study of language and language behavior | |
| 260 | |a Berlin ; |a New York : |b Mouton de Gruyter, |c 1993. | ||
| 300 | |a 1 online resource (xi, 400 pages) : |b illustrations | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 506 | |3 Use copy |f Restrictions unspecified |2 star |5 MiAaHDL | ||
| 533 | |a Electronic reproduction. |b [Place of publication not identified] : |c HathiTrust Digital Library, |d 2010. |5 MiAaHDL | ||
| 538 | |a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |u http://purl.oclc.org/DLF/benchrepro0212 |5 MiAaHDL | ||
| 583 | 1 | |a digitized |c 2010 |h HathiTrust Digital Library |l committed to preserve |2 pda |5 MiAaHDL | |
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Acknowledgements -- Permission of reproduction -- 1 Statistics and the study of language behaviour -- 1.1 The structure of the book -- 1.2 Basic statistical concepts -- 1.3 A few preliminary remarks -- 1.4 Other techniques -- 1.5 Language statistics -- 2 Analysis of variance -- 2.1 Introduction -- 2.2 A simple example -- 2.3 One-way analysis of variance -- 2.4 Testing effects: the F distribution -- 2.5 Multi-factorial designs and interaction -- 2.6 Random and fixed factors -- 2.7 Testing effects in a two-factor design | |
| 505 | 8 | |a 2.8 The interpretation of interactions2.9 Summary of the procedure -- 2.10 Other design types -- 2.11 A hierarchical three-factor design -- 2.12 Simple main effects -- 2.13 Post hoc comparisons and contrasts -- 2.14 Strength of association -- 2.15 Strange F ratios: testing hypotheses made difficult -- 2.16 Pooling and unequal cell frequencies -- 2.17 Overview of the steps in an analysis of variance -- 3 Multiple regression -- 3.1 Introduction -- 3.2 Simple regression -- 3.3 Tests of significance -- 3.4 Two independent variables -- 3.5 Selecting a model | |
| 505 | 8 | |a 3.6 Multicollinearity3.7 Coding nominal independent variables -- 3.8 Comparing regression lines -- 3.9 Measurement and specification errors -- 4 More ANOVA and MR: assumptions and alternatives -- 4.1 Introduction -- 4.2 Assumptions in analysis of variance -- 4.3 Homoscedasticity -- 4.4 The impact of transformations -- 4.5 Unbalanced designs: unequal cell frequencies -- 4.6 Repeated measures and MANOVA -- 4.7 A nonparametric alternative: randomization tests -- 4.8 Bootstrapping -- 4.9 Assumptions in linear multiple regression -- 4.10 Plots and diagnostics | |
| 505 | 8 | |a 4.11 Outliers and influential observations4.12 Linearizing transformations -- 4.13 Time series analysis -- 4.14 Alternative regression techniques -- 5 Reliability and agreement among raters -- 5.1 Introduction -- 5.2 Reliability: true scores and the error component -- 5.3 Interrater reliability -- 5.4 Interrater agreement -- 5.5 Intrarater reliability and agreement -- 6 Introductory matrix algebra -- 6.1 Introduction -- 6.2 Matrices and vectors -- 6.3 Matrix operations -- 6.4 Three applications -- 6.5 Some special matrices | |
| 505 | 8 | |a 6.6 Some key concepts in matrix algebra6.7 Some matrix operations for statistical data -- 7 Factor analysis -- 7.1 Introduction -- 7.2 Dimensionality reduction -- 7.3 Axis rotation and linear tranformation -- 7.4 Criteria for dimensionality reduction -- 7.5 The role of eigenvalues in principal component analysis -- 7.6 Loadings -- 7.7 A PC analysis with SPSS: the two-variable example -- 7.8 Principal component analysis or factor analysis? -- 7.9 How many factors/components are to be retained? -- 7.10 Which factor loadings are significant? -- 7.11 Data problems | |
| 546 | |a English. | ||
| 520 | |a No detailed description available for "Statistical Techniques for the Study of Language and Language Behaviour". | ||
| 650 | 0 | |a Linguistics |x Statistical methods. |0 http://id.loc.gov/authorities/subjects/sh85077229 | |
| 650 | 6 | |a Linguistique |x Méthodes statistiques. | |
| 650 | 7 | |a LANGUAGE ARTS & DISCIPLINES |x Linguistics |x Historical & Comparative. |2 bisacsh | |
| 650 | 7 | |a Linguistics |x Statistical methods |2 fast | |
| 650 | 1 | 7 | |a Taalwetenschap. |2 gtt |
| 650 | 1 | 7 | |a Statistische methoden. |2 gtt |
| 655 | 4 | |a Electronic book. | |
| 700 | 1 | |a Hout, Roeland van. | |
| 758 | |i has work: |a Statistical techniques for the study of language and language behaviour (Text) |1 https://id.oclc.org/worldcat/entity/E39PCG9dWqbkB6XRPGmhpKK68C |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Rietveld, Toni, 1949- |t Statistical techniques for the study of language and language behaviour. |d Berlin ; New York : Mouton de Gruyter, 1993 |w (DLC) 92035677 |w (OCoLC)26853594 |
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| author | Rietveld, Toni, 1949- |
| author2 | Hout, Roeland van |
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| callnumber-first | P - Language and Literature |
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| callnumber-raw | P138.5 .R54 1993 |
| callnumber-search | P138.5 .R54 1993 |
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| contents | Acknowledgements -- Permission of reproduction -- 1 Statistics and the study of language behaviour -- 1.1 The structure of the book -- 1.2 Basic statistical concepts -- 1.3 A few preliminary remarks -- 1.4 Other techniques -- 1.5 Language statistics -- 2 Analysis of variance -- 2.1 Introduction -- 2.2 A simple example -- 2.3 One-way analysis of variance -- 2.4 Testing effects: the F distribution -- 2.5 Multi-factorial designs and interaction -- 2.6 Random and fixed factors -- 2.7 Testing effects in a two-factor design 2.8 The interpretation of interactions2.9 Summary of the procedure -- 2.10 Other design types -- 2.11 A hierarchical three-factor design -- 2.12 Simple main effects -- 2.13 Post hoc comparisons and contrasts -- 2.14 Strength of association -- 2.15 Strange F ratios: testing hypotheses made difficult -- 2.16 Pooling and unequal cell frequencies -- 2.17 Overview of the steps in an analysis of variance -- 3 Multiple regression -- 3.1 Introduction -- 3.2 Simple regression -- 3.3 Tests of significance -- 3.4 Two independent variables -- 3.5 Selecting a model 3.6 Multicollinearity3.7 Coding nominal independent variables -- 3.8 Comparing regression lines -- 3.9 Measurement and specification errors -- 4 More ANOVA and MR: assumptions and alternatives -- 4.1 Introduction -- 4.2 Assumptions in analysis of variance -- 4.3 Homoscedasticity -- 4.4 The impact of transformations -- 4.5 Unbalanced designs: unequal cell frequencies -- 4.6 Repeated measures and MANOVA -- 4.7 A nonparametric alternative: randomization tests -- 4.8 Bootstrapping -- 4.9 Assumptions in linear multiple regression -- 4.10 Plots and diagnostics 4.11 Outliers and influential observations4.12 Linearizing transformations -- 4.13 Time series analysis -- 4.14 Alternative regression techniques -- 5 Reliability and agreement among raters -- 5.1 Introduction -- 5.2 Reliability: true scores and the error component -- 5.3 Interrater reliability -- 5.4 Interrater agreement -- 5.5 Intrarater reliability and agreement -- 6 Introductory matrix algebra -- 6.1 Introduction -- 6.2 Matrices and vectors -- 6.3 Matrix operations -- 6.4 Three applications -- 6.5 Some special matrices 6.6 Some key concepts in matrix algebra6.7 Some matrix operations for statistical data -- 7 Factor analysis -- 7.1 Introduction -- 7.2 Dimensionality reduction -- 7.3 Axis rotation and linear tranformation -- 7.4 Criteria for dimensionality reduction -- 7.5 The role of eigenvalues in principal component analysis -- 7.6 Loadings -- 7.7 A PC analysis with SPSS: the two-variable example -- 7.8 Principal component analysis or factor analysis? -- 7.9 How many factors/components are to be retained? -- 7.10 Which factor loadings are significant? -- 7.11 Data problems |
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Digital Library Federation, December 2002.</subfield><subfield code="u">http://purl.oclc.org/DLF/benchrepro0212</subfield><subfield code="5">MiAaHDL</subfield></datafield><datafield tag="583" ind1="1" ind2=" "><subfield code="a">digitized</subfield><subfield code="c">2010</subfield><subfield code="h">HathiTrust Digital Library</subfield><subfield code="l">committed to preserve</subfield><subfield code="2">pda</subfield><subfield code="5">MiAaHDL</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Print version record.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Acknowledgements -- Permission of reproduction -- 1 Statistics and the study of language behaviour -- 1.1 The structure of the book -- 1.2 Basic statistical concepts -- 1.3 A few preliminary remarks -- 1.4 Other techniques -- 1.5 Language statistics -- 2 Analysis of variance -- 2.1 Introduction -- 2.2 A simple example -- 2.3 One-way analysis of variance -- 2.4 Testing effects: the F distribution -- 2.5 Multi-factorial designs and interaction -- 2.6 Random and fixed factors -- 2.7 Testing effects in a two-factor design</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">2.8 The interpretation of interactions2.9 Summary of the procedure -- 2.10 Other design types -- 2.11 A hierarchical three-factor design -- 2.12 Simple main effects -- 2.13 Post hoc comparisons and contrasts -- 2.14 Strength of association -- 2.15 Strange F ratios: testing hypotheses made difficult -- 2.16 Pooling and unequal cell frequencies -- 2.17 Overview of the steps in an analysis of variance -- 3 Multiple regression -- 3.1 Introduction -- 3.2 Simple regression -- 3.3 Tests of significance -- 3.4 Two independent variables -- 3.5 Selecting a model</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">3.6 Multicollinearity3.7 Coding nominal independent variables -- 3.8 Comparing regression lines -- 3.9 Measurement and specification errors -- 4 More ANOVA and MR: assumptions and alternatives -- 4.1 Introduction -- 4.2 Assumptions in analysis of variance -- 4.3 Homoscedasticity -- 4.4 The impact of transformations -- 4.5 Unbalanced designs: unequal cell frequencies -- 4.6 Repeated measures and MANOVA -- 4.7 A nonparametric alternative: randomization tests -- 4.8 Bootstrapping -- 4.9 Assumptions in linear multiple regression -- 4.10 Plots and diagnostics</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">4.11 Outliers and influential observations4.12 Linearizing transformations -- 4.13 Time series analysis -- 4.14 Alternative regression techniques -- 5 Reliability and agreement among raters -- 5.1 Introduction -- 5.2 Reliability: true scores and the error component -- 5.3 Interrater reliability -- 5.4 Interrater agreement -- 5.5 Intrarater reliability and agreement -- 6 Introductory matrix algebra -- 6.1 Introduction -- 6.2 Matrices and vectors -- 6.3 Matrix operations -- 6.4 Three applications -- 6.5 Some special matrices</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">6.6 Some key concepts in matrix algebra6.7 Some matrix operations for statistical data -- 7 Factor analysis -- 7.1 Introduction -- 7.2 Dimensionality reduction -- 7.3 Axis rotation and linear tranformation -- 7.4 Criteria for dimensionality reduction -- 7.5 The role of eigenvalues in principal component analysis -- 7.6 Loadings -- 7.7 A PC analysis with SPSS: the two-variable example -- 7.8 Principal component analysis or factor analysis? 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| genre | Electronic book. |
| genre_facet | Electronic book. |
| id | ZDB-4-EBA-ocn622890677 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:17:12Z |
| institution | BVB |
| isbn | 9783110871609 3110871602 |
| language | English |
| oclc_num | 622890677 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xi, 400 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 1993 |
| publishDateSearch | 1993 |
| publishDateSort | 1993 |
| publisher | Mouton de Gruyter, |
| record_format | marc |
| spelling | Rietveld, Toni, 1949- https://id.oclc.org/worldcat/entity/E39PBJcBWBTQMGtxycxbxfbPQq http://id.loc.gov/authorities/names/n92098892 Statistical techniques for the study of language and language behaviour / Toni Rietveld, Roeland van Hout. Statistical techniques for the study of language and language behavior Berlin ; New York : Mouton de Gruyter, 1993. 1 online resource (xi, 400 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier data file Includes bibliographical references and index. Use copy Restrictions unspecified star MiAaHDL Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010. MiAaHDL Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL Print version record. Acknowledgements -- Permission of reproduction -- 1 Statistics and the study of language behaviour -- 1.1 The structure of the book -- 1.2 Basic statistical concepts -- 1.3 A few preliminary remarks -- 1.4 Other techniques -- 1.5 Language statistics -- 2 Analysis of variance -- 2.1 Introduction -- 2.2 A simple example -- 2.3 One-way analysis of variance -- 2.4 Testing effects: the F distribution -- 2.5 Multi-factorial designs and interaction -- 2.6 Random and fixed factors -- 2.7 Testing effects in a two-factor design 2.8 The interpretation of interactions2.9 Summary of the procedure -- 2.10 Other design types -- 2.11 A hierarchical three-factor design -- 2.12 Simple main effects -- 2.13 Post hoc comparisons and contrasts -- 2.14 Strength of association -- 2.15 Strange F ratios: testing hypotheses made difficult -- 2.16 Pooling and unequal cell frequencies -- 2.17 Overview of the steps in an analysis of variance -- 3 Multiple regression -- 3.1 Introduction -- 3.2 Simple regression -- 3.3 Tests of significance -- 3.4 Two independent variables -- 3.5 Selecting a model 3.6 Multicollinearity3.7 Coding nominal independent variables -- 3.8 Comparing regression lines -- 3.9 Measurement and specification errors -- 4 More ANOVA and MR: assumptions and alternatives -- 4.1 Introduction -- 4.2 Assumptions in analysis of variance -- 4.3 Homoscedasticity -- 4.4 The impact of transformations -- 4.5 Unbalanced designs: unequal cell frequencies -- 4.6 Repeated measures and MANOVA -- 4.7 A nonparametric alternative: randomization tests -- 4.8 Bootstrapping -- 4.9 Assumptions in linear multiple regression -- 4.10 Plots and diagnostics 4.11 Outliers and influential observations4.12 Linearizing transformations -- 4.13 Time series analysis -- 4.14 Alternative regression techniques -- 5 Reliability and agreement among raters -- 5.1 Introduction -- 5.2 Reliability: true scores and the error component -- 5.3 Interrater reliability -- 5.4 Interrater agreement -- 5.5 Intrarater reliability and agreement -- 6 Introductory matrix algebra -- 6.1 Introduction -- 6.2 Matrices and vectors -- 6.3 Matrix operations -- 6.4 Three applications -- 6.5 Some special matrices 6.6 Some key concepts in matrix algebra6.7 Some matrix operations for statistical data -- 7 Factor analysis -- 7.1 Introduction -- 7.2 Dimensionality reduction -- 7.3 Axis rotation and linear tranformation -- 7.4 Criteria for dimensionality reduction -- 7.5 The role of eigenvalues in principal component analysis -- 7.6 Loadings -- 7.7 A PC analysis with SPSS: the two-variable example -- 7.8 Principal component analysis or factor analysis? -- 7.9 How many factors/components are to be retained? -- 7.10 Which factor loadings are significant? -- 7.11 Data problems English. No detailed description available for "Statistical Techniques for the Study of Language and Language Behaviour". Linguistics Statistical methods. http://id.loc.gov/authorities/subjects/sh85077229 Linguistique Méthodes statistiques. LANGUAGE ARTS & DISCIPLINES Linguistics Historical & Comparative. bisacsh Linguistics Statistical methods fast Taalwetenschap. gtt Statistische methoden. gtt Electronic book. Hout, Roeland van. has work: Statistical techniques for the study of language and language behaviour (Text) https://id.oclc.org/worldcat/entity/E39PCG9dWqbkB6XRPGmhpKK68C https://id.oclc.org/worldcat/ontology/hasWork Print version: Rietveld, Toni, 1949- Statistical techniques for the study of language and language behaviour. Berlin ; New York : Mouton de Gruyter, 1993 (DLC) 92035677 (OCoLC)26853594 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=559311 Volltext |
| spellingShingle | Rietveld, Toni, 1949- Statistical techniques for the study of language and language behaviour / Acknowledgements -- Permission of reproduction -- 1 Statistics and the study of language behaviour -- 1.1 The structure of the book -- 1.2 Basic statistical concepts -- 1.3 A few preliminary remarks -- 1.4 Other techniques -- 1.5 Language statistics -- 2 Analysis of variance -- 2.1 Introduction -- 2.2 A simple example -- 2.3 One-way analysis of variance -- 2.4 Testing effects: the F distribution -- 2.5 Multi-factorial designs and interaction -- 2.6 Random and fixed factors -- 2.7 Testing effects in a two-factor design 2.8 The interpretation of interactions2.9 Summary of the procedure -- 2.10 Other design types -- 2.11 A hierarchical three-factor design -- 2.12 Simple main effects -- 2.13 Post hoc comparisons and contrasts -- 2.14 Strength of association -- 2.15 Strange F ratios: testing hypotheses made difficult -- 2.16 Pooling and unequal cell frequencies -- 2.17 Overview of the steps in an analysis of variance -- 3 Multiple regression -- 3.1 Introduction -- 3.2 Simple regression -- 3.3 Tests of significance -- 3.4 Two independent variables -- 3.5 Selecting a model 3.6 Multicollinearity3.7 Coding nominal independent variables -- 3.8 Comparing regression lines -- 3.9 Measurement and specification errors -- 4 More ANOVA and MR: assumptions and alternatives -- 4.1 Introduction -- 4.2 Assumptions in analysis of variance -- 4.3 Homoscedasticity -- 4.4 The impact of transformations -- 4.5 Unbalanced designs: unequal cell frequencies -- 4.6 Repeated measures and MANOVA -- 4.7 A nonparametric alternative: randomization tests -- 4.8 Bootstrapping -- 4.9 Assumptions in linear multiple regression -- 4.10 Plots and diagnostics 4.11 Outliers and influential observations4.12 Linearizing transformations -- 4.13 Time series analysis -- 4.14 Alternative regression techniques -- 5 Reliability and agreement among raters -- 5.1 Introduction -- 5.2 Reliability: true scores and the error component -- 5.3 Interrater reliability -- 5.4 Interrater agreement -- 5.5 Intrarater reliability and agreement -- 6 Introductory matrix algebra -- 6.1 Introduction -- 6.2 Matrices and vectors -- 6.3 Matrix operations -- 6.4 Three applications -- 6.5 Some special matrices 6.6 Some key concepts in matrix algebra6.7 Some matrix operations for statistical data -- 7 Factor analysis -- 7.1 Introduction -- 7.2 Dimensionality reduction -- 7.3 Axis rotation and linear tranformation -- 7.4 Criteria for dimensionality reduction -- 7.5 The role of eigenvalues in principal component analysis -- 7.6 Loadings -- 7.7 A PC analysis with SPSS: the two-variable example -- 7.8 Principal component analysis or factor analysis? -- 7.9 How many factors/components are to be retained? -- 7.10 Which factor loadings are significant? -- 7.11 Data problems Linguistics Statistical methods. http://id.loc.gov/authorities/subjects/sh85077229 Linguistique Méthodes statistiques. LANGUAGE ARTS & DISCIPLINES Linguistics Historical & Comparative. bisacsh Linguistics Statistical methods fast Taalwetenschap. gtt Statistische methoden. gtt |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85077229 |
| title | Statistical techniques for the study of language and language behaviour / |
| title_alt | Statistical techniques for the study of language and language behavior |
| title_auth | Statistical techniques for the study of language and language behaviour / |
| title_exact_search | Statistical techniques for the study of language and language behaviour / |
| title_full | Statistical techniques for the study of language and language behaviour / Toni Rietveld, Roeland van Hout. |
| title_fullStr | Statistical techniques for the study of language and language behaviour / Toni Rietveld, Roeland van Hout. |
| title_full_unstemmed | Statistical techniques for the study of language and language behaviour / Toni Rietveld, Roeland van Hout. |
| title_short | Statistical techniques for the study of language and language behaviour / |
| title_sort | statistical techniques for the study of language and language behaviour |
| topic | Linguistics Statistical methods. http://id.loc.gov/authorities/subjects/sh85077229 Linguistique Méthodes statistiques. LANGUAGE ARTS & DISCIPLINES Linguistics Historical & Comparative. bisacsh Linguistics Statistical methods fast Taalwetenschap. gtt Statistische methoden. gtt |
| topic_facet | Linguistics Statistical methods. Linguistique Méthodes statistiques. LANGUAGE ARTS & DISCIPLINES Linguistics Historical & Comparative. Linguistics Statistical methods Taalwetenschap. Statistische methoden. Electronic book. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=559311 |
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