Imagen de cubierta local
Imagen de cubierta local

Applied multivariate analysis John E. Overall, C. James Klett

Por: Tipo de material: TextoTextoIdioma: Inglés Series McGraw Hill Series in PsychologyDetalles de publicación: New York McGraw-Hill Book 1972Descripción: xiii, 500 p. il. 24 cmISBN:
  • 070479356
Tema(s): Clasificación CDD:
  • 001.624 21 O796a 1972
Recursos en línea:
Contenidos:
1 Patient evaluation and description. 2 Essential matrix concepts and calculations. 3 Principal-components analysis. 4 General algebraic formulation of factor analysis. 5 Principal-axes factor analysis. 6 Orthogonal powered-vector factor analysis. 7 Oblique primary- and reference-factor structures. 8 Empirical methods for developing Classification typologies. 9 Discriminant function for two groups. 10 multiple discriminant analysis. 11 Tests of multivariate hypotheses. 12 Decision procedures for assigning individuals among several groups. 13 Normal-probability-density model for classification among several groups. 14 Use of canonical variates for classification. 15 Simple profile-analysis methods for classification. 16 Pattern-probability model for classification using qualitative data. 17Multiple linear regression and correlation. 18 Complex least-squares analysis of variance.
Tipo de ítem: Recurso electrónico
Etiquetas de esta biblioteca: No hay etiquetas de esta biblioteca para este título. Ingresar para agregar etiquetas.
Valoración
    Valoración media: 0.0 (0 votos)
Existencias
Biblioteca actual Biblioteca de origen Signatura Copia número Estado Fecha de vencimiento Código de barras Reserva de ítems
BIBLIOTECA CIESS Acervo Digital BIBLIOTECA CIESS Acervo Digital 001.624 O796a 1972 1 Disponible PDF3105
Total de reservas: 0

1 Patient evaluation and description. 2 Essential matrix concepts and calculations. 3 Principal-components analysis. 4 General algebraic formulation of factor analysis. 5 Principal-axes factor analysis. 6 Orthogonal powered-vector factor analysis. 7 Oblique primary- and reference-factor structures. 8 Empirical methods for developing Classification typologies. 9 Discriminant function for two groups. 10 multiple discriminant analysis. 11 Tests of multivariate hypotheses. 12 Decision procedures for assigning individuals among several groups. 13 Normal-probability-density model for classification among several groups. 14 Use of canonical variates for classification. 15 Simple profile-analysis methods for classification. 16 Pattern-probability model for classification using qualitative data. 17Multiple linear regression and correlation. 18 Complex least-squares analysis of variance.

Haga clic en una imagen para verla en el visor de imágenes

Imagen de cubierta local