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Innovations in Multivariate Statistical Analysis: A Festschrift for Heinz Neudecker

Posted By: AvaxGenius
Date: 20 Aug 2023 08:02:33
Innovations in Multivariate Statistical Analysis: A Festschrift for Heinz Neudecker

Innovations in Multivariate Statistical Analysis: A Festschrift for Heinz Neudecker by R. D. H. Heijmans, D. S. G. Pollock, A. Satorra
English | PDF | 2000 | 302 Pages | ISBN : 0792386361 | 22 MB

The three decades which have followed the publication of Heinz Neudecker's seminal paper `Some Theorems on Matrix Differentiation with Special Reference to Kronecker Products' in the Journal of the American Statistical Association (1969) have witnessed the growing influence of matrix analysis in many scientific disciplines. Amongst these are the disciplines to which Neudecker has contributed directly - namely econometrics, economics, psychometrics and multivariate analysis.
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Basic Principles of Structural Equation Modeling: An Introduction to LISREL and EQS (Repost)

Posted By: AvaxGenius
Date: 1 Aug 2022 14:16:29
Basic Principles of Structural Equation Modeling: An Introduction to LISREL and EQS (Repost)

Basic Principles of Structural Equation Modeling: An Introduction to LISREL and EQS by Ralph O. Mueller
English | PDF | 1996 | 252 Pages | ISBN : 0387945164 | 27.3 MB

During the last two decades, structural equation modeling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, psychology, and education. Although its roots can be traced back to the first half of this century, when Spearman (1904) developed factor analysis and Wright (1934) introduced path analysis, it was not until the 1970s that the works by Karl Joreskog and his associates (e. g. , Joreskog, 1977; Joreskog and Van Thillo, 1973) began to make general SEM techniques accessible to the social and behavioral science research communities.
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Gaussian and Non-Gaussian Linear Time Series and Random Fields (Repost)

Posted By: AvaxGenius
Date: 14 Sep 2020 03:28:08
Gaussian and Non-Gaussian Linear Time Series and Random Fields (Repost)

Gaussian and Non-Gaussian Linear Time Series and Random Fields by Murray Rosenblatt
English | PDF | 2000 | 252 Pages | ISBN : 1461270677 | 14.94 MB

Much of this book is concerned with autoregressive and moving av­ erage linear stationary sequences and random fields. These models are part of the classical literature in time series analysis, particularly in the Gaussian case.
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