Author: Jeffrey S. TanakaPublisher:
ISBN:
Category :
Languages : en
Pages : 180
Book Description
Some Results on the Estimation of Covariance Structure Models
Author: Jeffrey S. TanakaSome Results on the Estimation of Covariance Structure Models
Author: Jeffrey Scott TanakaPublisher:
ISBN:
Category : Analysis of variance
Languages : en
Pages : 396
Book Description
Covariance Structure Models
Author: J. Scott LongPublisher: SAGE Publications, Incorporated
ISBN:
Category : Mathematics
Languages : en
Pages : 104
Book Description
While many readers may be unfamiliar with the full complexity of the covariance structure model, many may have mastered at least one of its two components - each of which is a powerful and well-known statistical technique in its own right. The first is the confirmatory factor model frequently used in psychometrics; the second, the structural equation model, is familiar to econometricians. The discussion in this volume will be particularly useful for estimating models with equality constraints and correlated errors across some but not all equations. The final chapter includes a guide to appropriate software packages.
Nonlinear Estimation with a Known Covariance Structure Over Time
Author: Ralph Lawrence KodellPublisher:
ISBN:
Category :
Languages : en
Pages : 146
Book Description
Interaction and Nonlinear Effects in Structural Equation Modeling
Author: Randall E. SchumackerPublisher: Routledge
ISBN: 1351562630
Category : Psychology
Languages : en
Pages : 276
Book Description
This volume provides a comprehensive presentation of the various procedures currently available for testing interaction and nonlinear effects in structural equation modeling. By focusing on various software applications, the reader should quickly be able to incorporate one of the procedures into testing interaction or nonlinear effects in their own model. Although every attempt is made to keep mathematical details to a minimum, it is assumed that the reader has mastered the equivalent of a graduate-level multivariate statistics course which includes adequate coverage of structural equation modeling. This book will be of interest to researchers and practitioners in education and the social sciences.
Some Remarks on Estimating a Covariance Structure Model from a Sample Correlation Matrix
Author: Alberto Maydeu-OlivaresPublisher:
ISBN:
Category :
Languages : en
Pages : 36
Book Description
High-Dimensional Covariance Matrix Estimation
Author: Aygul ZagidullinaPublisher: Springer Nature
ISBN: 3030800652
Category : Business & Economics
Languages : en
Pages : 123
Book Description
This book presents covariance matrix estimation and related aspects of random matrix theory. It focuses on the sample covariance matrix estimator and provides a holistic description of its properties under two asymptotic regimes: the traditional one, and the high-dimensional regime that better fits the big data context. It draws attention to the deficiencies of standard statistical tools when used in the high-dimensional setting, and introduces the basic concepts and major results related to spectral statistics and random matrix theory under high-dimensional asymptotics in an understandable and reader-friendly way. The aim of this book is to inspire applied statisticians, econometricians, and machine learning practitioners who analyze high-dimensional data to apply the recent developments in their work.
Identification and Efficient Estimation in Disaggregated Models with Special Covariance Structure
Author: Jeffrey K. SpeakesStructural Equation Modeling
Author: Rick H. HoylePublisher: SAGE Publications
ISBN: 145224684X
Category : Social Science
Languages : en
Pages : 313
Book Description
This largely nontechnical volume reviews some of the major issues facing researchers who wish to use structural equation modeling. Individual chapters present recent developments on specification, estimation and testing, statistical power, software comparisons and analyzing multitrait/multimethod data. Numerous examples of applications are given and attention is paid to the underlying philosophy of structural equation modeling and to writing up results from structural equation modeling analyses.
Author: