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All India Institute of Speech and Hearing, Mysuru
(An Autonomous institute Under Ministry of Health and Family Welfare, Government of India.)

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Multivariate analysis for the behavioral sciences / Kimmo Vehkalahti, Brian S. Everitt.

By: Contributor(s): Material type: TextPublisher: Boca Raton : CRC Press, Taylor & Francis Group, [2019]Edition: Second editionDescription: xxi, 415 pages ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780367656751
Subject(s): DDC classification:
  • 519.535 VEH E 23
LOC classification:
  • HA31.35 .E94 2019
Contents:
1. Data, Measurement, and Models. 2. Looking at Data. 3. Simple Linear and Locally Weighted Regression. 4.Multiple Linear Regression. 5. Generalized Linear Models. 6. Applying Logistic Regression. 7. Survival Analysis. 8. Analysis of Longitudinal Data I: Graphical Displays and Summary Measure Approach. 9. Analysis of Longitudinal Data II: Linear Mixed Effects Models for Normal Response Variables. 10. Analysis of Longitudinal Data III: Non-Normal Responses. 11. Missing Values. 12. Multivariate Data and Multivariate Analysis. 13. Principal Components Analysis. 14. Multidimensional Scaling and Correspondence Analysis. 15. Exploratory Factor Analysis. 16. Confirmatory Factor Analysis and Structural Equation Models. 17. Cluster Analysis. 18 Grouped Multivariate Data.
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Stack text books All India Institute of Speech and Hearing 44/1 519.535 VEH E;1 (Browse shelf) Available 23238
Reference text books All India Institute of Speech and Hearing R-21/2 519.535 VEH E (Browse shelf) Available 23027
Total holds: 0

Earlier edition published as: Multivariable modeling and multivariate analysis for the behavioral sciences / [by] Brian S. Everitt.

Includes bibliographical references (pages 385-399) and index.

1. Data, Measurement, and Models. 2. Looking at Data. 3. Simple Linear and Locally Weighted Regression. 4.Multiple Linear Regression. 5. Generalized Linear Models. 6. Applying Logistic Regression. 7. Survival Analysis. 8. Analysis of Longitudinal Data I: Graphical Displays and Summary Measure Approach. 9. Analysis of Longitudinal Data II: Linear Mixed Effects Models for Normal Response Variables. 10. Analysis of Longitudinal Data III: Non-Normal Responses. 11. Missing Values. 12. Multivariate Data and Multivariate Analysis. 13. Principal Components Analysis. 14. Multidimensional Scaling and Correspondence Analysis. 15. Exploratory Factor Analysis. 16. Confirmatory Factor Analysis and Structural Equation Models. 17. Cluster Analysis. 18 Grouped Multivariate Data.

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