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PRINCIPLES OF MULTIVARIATE ANALYSIS: A USER'S PERSPECTIVE (OXFORD STATISTICAL SCIENCE 22)

by W.J. Krzanowski

Published by Oxford University Press. 2000

Very good condition. Revised Edition. Oxford Statistical Science Series 22. An introduction to the principles and methodology of modern multivariate statistical analysis. The author's emphasis is problem-orientated and he is at pains to stress geometrical intuition in preference to algebraic manipulation. Red & blue cardwraps. xxi and 586 pages including index.

Spine lightly faded and creasing caused by reading. Covers lightly edge-worn. Text block a little browned. Name in ink to top edge of first page else contents clean.

ISBN: 0198507089
Stock no. 1830317

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Contents

  • Introduction
  • Part I: Looking at Multivariate Data
  • 1 Motivation and Fundamental Concepts
  • 2 One-Way Graphical Representation of Data Matrices
  • 3 Graphical Methods for Association or Proximity Matrices
  • 4 Two-Way Graphical Representation of Data Matrices
  • 5 Analytical Comparison of two or more graphical representations
  • Part II: Samples, Populations and Models
  • 6 Data Inspection or Data Analysis?
  • 7 Distribution Theory
  • Part III: Analysing Ungrouped Data
  • 8 Estimation and Hypothesis Testing
  • 9 Reduction of Dimensionality: Inferential Aspects of Descriptive Methods
  • 10 Discrete Data
  • Part IV: Analysing Grouped Data
  • 11 Incorporating Group Structure: Descriptive Statistics
  • 12 Inferential Aspects: The Two-Group Case
  • 13 Inferential Aspects: More Than Two Groups
  • Part V: Analysing Association Among Variables
  • 14 Measuring and Interpreting Association
  • 15 Exploiting Observed Associations: Manifest-Variable Models
  • 16 Explaining Observed Associations: Latent-Variable Models
  • 17 Conclusion: Some General Multivariate Problems
  • Appendix
  • References
  • Index

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