Latent variable models and factor analysis D.J. Bartholomew and M. Knott. Kendall's library of statistics 7.

Bartholomew, David J.:

ISBN 10: 034069243X / ISBN 13: 9780340692431

Verlag: London, Oxford Univ Press; Arnold, 1999

Beschreibung

Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 BAR 2nd.ed 9780340692431 Sprache: Englisch Gewicht in Gramm: 550.

Bestandsnummer des Verkäufers 2508901

Bibliografische Details

• Titel: Latent variable models and factor analysis D.J. Bartholomew and M. Knott. Kendall's library of statistics 7.
• Verlag: London, Oxford Univ Press; Arnold
• Erscheinungsjahr: 1999
• Sprache: Englisch
• ISBN-10: 034069243X
• ISBN-13: 9780340692431
• Einband: Hardcover
• Auflage: 2. Auflage
• Gewicht: 550 Gramm
• Verkäuferkataloge:
  • SA MATHEMATIK

Über diesen Titel

Inhaltsangabe

Hitherto latent variable modelling has hovered on the fringes of the statistical mainstream but if the purpose of statistics is to deal with real problems, there is every reason for it to move closer to centre stage. In the social sciences especially, latent variables are common and if they are to be handled in a truly scientific manner, statistical theory must be developed to include them. This book aims to show how that should be done. This second edition is a complete re-working of the book of the same name which appeared in the Griffin's Statistical Monographs in 1987. Since then there has been a surge of interest in latent variable methods which has necessitated a radical revision of the material but the prime object of the book remains the same. It provides a unified and coherent treatment of the field from a statistical perspective. This is achieved by setting up a sufficiently general framework to enable the derivation of the commonly used models. The subsequent analysis is then done wholly within the realm of probability calculus and the theory of statistical inference.Numerical examples are provided as well as the software to carry them out ( where this is not otherwise available). Additional data sets are provided in some cases so that the reader can aquire a wider experience of analysis and interpretation.

Über die Autorin bzw. den Autor

David Bartholomew is Professor of Statistics at the London School of Economics