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Journal of Educational Statistics, 1992
The use of statistical methods to combine the results of independent empirical research studies (meta-analysis) has a long history. Meta-analytic work can be divided into two traditions: tests of the statistical significance of combined results and methods for combining estimates across studies.
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The use of statistical methods to combine the results of independent empirical research studies (meta-analysis) has a long history. Meta-analytic work can be divided into two traditions: tests of the statistical significance of combined results and methods for combining estimates across studies.
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Multivariate Analysis: Discriminant Analysis and Factor Analysis
2019In this chapter, we discuss two multivariate analysis models, which include discriminant analysis and factor analysis. In addition, we discuss principal component analysis. The derivations of both discriminant analysis and principal component analysis are presented in Appendices 1 and 2.
Cheng-Few Lee, Hong-Yi Chen, John Lee
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1985
Linear algebra and matrix theory are fundamental tools in mathematical and physical science, as well as fertile fields for research. This second edition of this acclaimed text presents results of both classic and recent matrix analysis using canonical forms as a unifying theme and demonstrates their importance in a variety of applications.
Roger A. Horn, Charles R. Johnson
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Linear algebra and matrix theory are fundamental tools in mathematical and physical science, as well as fertile fields for research. This second edition of this acclaimed text presents results of both classic and recent matrix analysis using canonical forms as a unifying theme and demonstrates their importance in a variety of applications.
Roger A. Horn, Charles R. Johnson
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American Journal of Respiratory and Critical Care Medicine, 2000
Jongste, Johan, Alving, K
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Jongste, Johan, Alving, K
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