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Canonical Correlation And Correspondence Analysis Of Longitudinal Data
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Book Synopsis Canonical Correlation and Correspondence Analysis of Longitudinal Data by : Jayesh Srivastava
Download or read book Canonical Correlation and Correspondence Analysis of Longitudinal Data written by Jayesh Srivastava and published by . This book was released on 2007 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: Assessing the relationship between two sets of multivariate vectors is an important problem in statistics. Canonical correlation coefficients are used to study these relationships. Canonical correlation analysis (CCA) is a general multivariate method that is mainly used to study relationships when both sets of variables are quantitative. When the variables are qualitative (categorical), a technique called correspondence analysis (CA) is used. Canonical correspondence analysis (CCPA) is used to deal with the case when one set of variables is categorical and the other set is quantitative. By exploiting the interrelationships between these three techniques we first provide a theoretical basis for CCPA.
Book Synopsis Longitudinal Data Analysis by : Professor Catrien C J H C J H Bijleveld
Download or read book Longitudinal Data Analysis written by Professor Catrien C J H C J H Bijleveld and published by SAGE. This book was released on 1998-10-26 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: By looking at the processes of change over time - by carrying out longitudinal studies - researchers answer questions about learning, development, educational growth, social change and medical outcomes. However, longitudinal research has many faces. This book examines all the main approaches as well as newer developments (such as structural equation modelling, multilevel modelling and optimal scaling) to enable the reader to gain a thorough understanding of the approach and make appropriate decisions about which technique can be applied to the research problem. Conceptual explanations are used to keep technical terms to a minimum; examples are provided for each approach; issues of design, measurement and significance are considered; and a standard notation is used throughout.
Book Synopsis Canonical Correlation Analysis for Longitudinal Data by : Raymond McCollum
Download or read book Canonical Correlation Analysis for Longitudinal Data written by Raymond McCollum and published by . This book was released on 2010 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Nonlinear Canonical Correlation and Some Related Techniques by : Eeke van der Burg
Download or read book Nonlinear Canonical Correlation and Some Related Techniques written by Eeke van der Burg and published by . This book was released on 1988 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Longitudinal Data Analysis by : Toon Taris
Download or read book Longitudinal Data Analysis written by Toon Taris and published by SAGE. This book was released on 2000-11-13 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Toon Taris' survival guide takes the reader through the strengths and weaknesses of longitudinal research, making clear how to design a longitudinal study, how to collect data most effectively and how to interpret results.
Book Synopsis Correspondence analysis of longitudinal categorical data by : Peter G. van der Heijden
Download or read book Correspondence analysis of longitudinal categorical data written by Peter G. van der Heijden and published by . This book was released on 1987 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Correspondence Analysis of Longitudinal Categorical Data by : Peter G. M. Heijden
Download or read book Correspondence Analysis of Longitudinal Categorical Data written by Peter G. M. Heijden and published by . This book was released on 1987 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Canonical Correlation Analysis by : Bruce Thompson
Download or read book Canonical Correlation Analysis written by Bruce Thompson and published by SAGE. This book was released on 1984-11 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances both in statistical methodology and in computer automation are making canonical correlation analysis available to more and more researchers. In an essentially nonmathematical presentation that provides numerous examples, this volume explains the basic features of this sophisticated technique. Learn more about "The Little Green Book" - QASS Series! Click Here
Book Synopsis Some Aspects of Canonical Correlation Analysis by : Yu Shyr
Download or read book Some Aspects of Canonical Correlation Analysis written by Yu Shyr and published by . This book was released on 1994 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Relationship Between Canonical Correlations and Correspondence Analysis by :
Download or read book The Relationship Between Canonical Correlations and Correspondence Analysis written by and published by . This book was released on 1981 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Correspondence Analysis of longitudinal catergorical data by :
Download or read book Correspondence Analysis of longitudinal catergorical data written by and published by . This book was released on 1987 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Longitudinal Data with Serial Correlation by : Richard .H. Jones
Download or read book Longitudinal Data with Serial Correlation written by Richard .H. Jones and published by CRC Press. This book was released on 1993-02-01 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains methods of accounting for correlations in the data from the repeated observation of subjects over a long period. For graduate students of biostatistics, statistics, or other disciplines that collect longitudinal data. Assumes a first-year graduate knowledge of statistical theory and methods, particularly the matrix approach to regression analysis, but no familiarity with state space methodology. Includes some FORTRAN subroutines. Annotation copyright by Book News, Inc., Portland, OR
Book Synopsis Analysis of Longitudinal and Cluster-correlated Data by : Nan M. Laird
Download or read book Analysis of Longitudinal and Cluster-correlated Data written by Nan M. Laird and published by IMS. This book was released on 2004 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Practical Longitudinal Data Analysis by : David J. Hand
Download or read book Practical Longitudinal Data Analysis written by David J. Hand and published by CRC Press. This book was released on 1996-03-01 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text describes regression-based approaches to analyzing longitudinal and repeated measures data. It emphasizes statistical models, discusses the relationships between different approaches, and uses real data to illustrate practical applications. It uses commercially available software when it exists and illustrates the program code and output. The data appendix provides many real data sets-beyond those used for the examples-which can serve as the basis for exercises.
Book Synopsis Longitudinal Data Analysis by : Garrett Fitzmaurice
Download or read book Longitudinal Data Analysis written by Garrett Fitzmaurice and published by CRC Press. This book was released on 2008-08-11 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory
Book Synopsis Analysis of Longitudinal Data with Example by : You-Gan Wang
Download or read book Analysis of Longitudinal Data with Example written by You-Gan Wang and published by CRC Press. This book was released on 2022-01-28 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: Development in methodology on longitudinal data is fast. Currently, there are a lack of intermediate /advanced level textbooks which introduce students and practicing statisticians to the updated methods on correlated data inference. This book will present a discussion of the modern approaches to inference, including the links between the theories of estimators and various types of efficient statistical models including likelihood-based approaches. The theory will be supported with practical examples of R-codes and R-packages applied to interesting case-studies from a number of different areas. Key Features: •Includes the most up-to-date methods •Use simple examples to demonstrate complex methods •Uses real data from a number of areas •Examples utilize R code
Book Synopsis Modern Quantification Theory by : Shizuhiko Nishisato
Download or read book Modern Quantification Theory written by Shizuhiko Nishisato and published by Springer Nature. This book was released on 2021-07-22 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a new look at well-established quantification theory for categorical data, referred to by such names as correspondence analysis, dual scaling, optimal scaling, and homogeneity analysis. These multiple identities are a consequence of its large number of properties that allow one to analyze and visualize the strength of variable association in an optimal solution. The book contains modern quantification theory for analyzing the association between two and more categorical variables in a variety of applicative frameworks. Visualization has attracted much attention over the past decades and given rise to controversial opinions. One may consider variations of plotting systems used in the construction of the classic correspondence plot, the biplot, the Carroll-Green-Schaffer scaling, or a new approach in doubled multidimensional space as presented in the book. There are even arguments for no visualization at all. The purpose of this book therefore is to shed new light on time-honored graphical procedures with critical reviews, new ideas, and future directions as alternatives. This stimulating volume is written with fresh new ideas from the traditional framework and the contemporary points of view. It thus offers readers a deep understanding of the ever-evolving nature of quantification theory and its practice. Part I starts with illustrating contingency table analysis with traditional joint graphical displays (symmetric, non-symmetric) and the CGS scaling and then explores logically correct graphs in doubled Euclidean space for both row and column variables. Part II covers a variety of mathematical approaches to the biplot strategy in graphing a data structure, providing a useful source for this modern approach to graphical display. Part II is also concerned with a number of alternative approaches to the joint graphical display such as bimodal cluster analysis and other statistical problems relevant to quantification theory.
