A Primer of Multivariate Statistics

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ID: 290942
1975
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Abstract
Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis. This edition retains its conversational writing style while focusing on classical techniques. The book gives the reader a feel for why one should consider diving into more detailed treatments of computer-modeling and latent-variable techniques, such as non-recursive path analysis, confirmatory factor analysis, and hierarchical linear modeling. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis.
Reference Key
openalex_W2093949644 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors David Strauss, Richard J. Harris
Journal biometrics
Year 1975
DOI
10.2307/2529445
URL
https://doi.org/10.2307/2529445
Keywords Keywords not found

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