Latent Variable Models and Factor Analysis (Kendall's Library of Statistics)
Editorial Reviews
Book Description
Latent variables, variables that cannot be observed directly, have numerous applications, particularly in psychometrics and sociology, and this new edition provides a comprehensive and unified treatment. Extensively revised and including much recent work, the book develops a framework for
handling latent variables with standard statistical methods. It includes an introductory chapter, followed by a careful development of the General Linear Latent Variable Model (GLLVM). A large class of latent variable models turns out to be special cases of GLLVM, and the book devotes a number of
chapters to specific models. The treatment aims to be mathematically complete and emphasizes questions of precision and goodness of fit. The book features numerous examples and concludes with a critique of some of the popular and widely used linear models.
Book Info
Designed to give a soundly based theoretical framework for latent variable modelling, and to show that, with current desktop computing power, the methods are easily implemented. Provides a unified and coherent treatment of the field from a statistical perspective.
Latent Variable Models and Factor Analysis (Kendall's Library of Statistics),D. J. Bartholomew,M. Knott,A Hodder Arnold Publication,034069243X,Factor analysis,Latent structure analysis,Latent variables,Mathematics,Multivariate Analysis,Probability & Statistics - General,Probability & Statistics - Multivariate Analysis,Science/Mathematics,Mathematical modelling,Mathematics / Statistics,Mathematics | Probability & Statistics,Probability & statistics,Social research & statistics
Books Review:
Recommended Books