Analysis of qualitative data. Volume 2, New developments /

Analysis of Qualitative Data.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Haberman, Shelby J. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Academic Press, a subsidiary of Harcourt Brace Jovanovich, Publishers, 1979.
Temas:
Log-linear models.
Contingency tables.
Social sciences > Statistical methods.
Social sciences > Methodology.
Tableaux de contingence.
Sciences sociales > M�ethodes statistiques.
Mod�eles log-lin�eaires.
Sciences sociales > M�ethodes qualitatives.
MATHEMATICS > Applied.
MATHEMATICS > Probability & Statistics > General.
Social sciences > Methodology
Contingency tables
Log-linear models
Social sciences > Statistical methods
Data-analyse.
Kwalitatieve gegevens.
Estatistica Aplicada As Ciencias Exatas.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover; New Developments; Copyright Page; Table of Contents; Preface; Contents of Volume 1; Chapter 6. Multinomial Response Models; 6.1 Multinomial Response Models for Two-Way Tables; 6.2 Multinomial Response Models for Multi-Way Tables; 6.3 Multinomial Response Models for One or More Continuous Independent Variables; EXERCISES; Chapter 7. Incomplete Tables; 7.1 Incomplete Two-Way Tables and Migration; 7.2 Quasi-Independence, Age at First Marriage and Current Age; 7.3 Hierarchical Models for Incomplete Multi-Way Tables; 7.4 Models for Incomplete Tables with Ordered Categories; EXERCISES.
  • Chapter 8. Symmetrical Tables8.1 Symmetry, Quasi-Symmetry, and Marginal Homogeneity for Two-Way Tables; 8.2 Distance Models; 8.3 Symmetry Models for Multi-Way Tables; EXERCISES; Chapter 9. Adjustment of Data; 9.1 Adjustment of Marginal Tables; 9.2 Adjustment of Marginal Totals Using Unsaturated Models; 9.3 Related Applications; EXERCISES; Chapter 10. Latent-Class Models; 10.1 Maximum Likelihood Equations for the Traditional Latent-Class Model; 10.2 Iterative Proportional Fitting and Latent-Class Models; 10.3 The Scoring Algorithm; 10.4 Alternative Latent-Class Models for Table 7.29.
  • 10.5 Models with Several Latent Variables10.6 General Latent-Class Models; EXERCISES; Appendix: Computer Programs for Computation of Maximum Likelihood Estimates; A.1 FREQ; A.2 LAT; References; Example Index; Subject Index.

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