Multivariate Analysis with LISREL (Springer Series in Statistics)
3319331523
9783319331522
Description:
This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the LISREL computer program. It presents not only the typical uses of LISREL, such as confirmatory factor analysis and structural equation models, but also several other multivariate analysis topics, including regression (univariate, multivariate, censored, logistic, and probit), generalized linear models, multilevel analysis, and principal component analysis. It provides numerous examples from several disciplines and discusses and interprets the results, illustrated with sections of output from the LISREL program, in the context of the example. The book is intended for masters and PhD students and researchers in the social, behavioral, economic and many other sciences who require a basic understanding of multivariate statistical theory and methods for their analysis of multivariate data. It can also be used as a textbook on various topics of multivariate statistical analysis.
Best prices to buy, sell, or rent ISBN 9783319331522
Frequently Asked Questions about Multivariate Analysis with LISREL (Springer Series in Statistics)
The price for the book starts from $139.20 on Amazon and is available from 5 sellers at the moment.
If you’re interested in selling back the Multivariate Analysis with LISREL (Springer Series in Statistics) book, you can always look up BookScouter for the best deal. BookScouter checks 30+ buyback vendors with a single search and gives you actual information on buyback pricing instantly.
As for the Multivariate Analysis with LISREL (Springer Series in Statistics) book, the best buyback offer comes from and is $ for the book in good condition.
The Multivariate Analysis with LISREL (Springer Series in Statistics) book is in very low demand now as the rank for the book is 6,472,261 at the moment. A rank of 1,000,000 means the last copy sold approximately a month ago.
Not enough insights yet.