107 Seiten; Das hier angebotene Buch stammt aus einer teilaufgel�sten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (R�ckenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 250.

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Detalles bibliogr�ficos

T�tulo

An Introduction to Latent Variable Models. Monographs on Statistics and Applied Probability.

Editor

Chapmann and Hall

Fecha de publicaci�n

1984

Idioma

Ingl�s

ISBN 10

0412253100

ISBN 13

9780412253102

Encuadernaci�n

gebundene Ausgabe

Estado

Gut

Cat�logos de vendedores

200 Mathematik

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Sinopsis

Latent variable models are used in many areas of the social and behavioural sciences, and the increasing availability of computer packages for fitting such models is likely to increase their popularity. This book attempts to introduce such models to applied statisticians and research workers interested in exploring the structure of covari- ance and correlation matrices in terms of a small number of unob- servable constructs. The emphasis is on the practical application of the procedures rather than on detailed discussion of their mathe- matical and statistical properties. It is assumed that the reader is familiar with the most commonly used statistical concepts and methods, particularly regression, and also has a fair knowledge of matrix algebra. My thanks are due to my colleagues Dr David Hand and Dr Graham Dunn for helpful comments on the book, to Mrs Bertha Lakey for her careful typing of a difficult manuscript and to Peter Cuttance for assistance with the LlSREL package. In addition the text clearly owes a great deal to the work on structural equation models published by Karl Joreskog, Dag Sorbom, Peter Bentler, Michael Browne and others.

Rese�a del editor

Latent variable models are used in many areas of the social and behavioural sciences, and the increasing availability of computer packages for fitting such models is likely to increase their popularity. This book attempts to introduce such models to applied statisticians and research workers interested in exploring the structure of covari� ance and correlation matrices in terms of a small number of unob� servable constructs. The emphasis is on the practical application of the procedures rather than on detailed discussion of their mathe� matical and statistical properties. It is assumed that the reader is familiar with the most commonly used statistical concepts and methods, particularly regression, and also has a fair knowledge of matrix algebra. My thanks are due to my colleagues Dr David Hand and Dr Graham Dunn for helpful comments on the book, to Mrs Bertha Lakey for her careful typing of a difficult manuscript and to Peter Cuttance for assistance with the LlSREL package. In addition the text clearly owes a great deal to the work on structural equation models published by Karl Joreskog, Dag Sorbom, Peter Bentler, Michael Browne and others.

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