MTU Cork Library Catalogue

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Applied factor analysis in the natural sciences / Richard Reyment and K. G. Joreskog.

By: Reyment, R. A.
Contributor(s): Jöreskog, K. G.
Material type: materialTypeLabelBookPublisher: Cambridge : Cambridge University Press, 1996Edition: 2nd ed.Description: xii, 371 p. ; 23 cm. + pbk.ISBN: 0521575567 ; 0521412420 .Subject(s): Factor analysisDDC classification: 550.15195354
Contents:
Introduction -- Basic mathematical and statistical concepts -- Aims, ideas and models of factor analysis -- R-mode methods -- Q-mode methods -- Q-R-mode methods -- Steps in the analysis -- Examples and case histories.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Lending 550.15195354 (Browse shelf(Opens below)) 1 Available 00015435
Total holds: 0

Enhanced descriptions from Syndetics:

Applied multivariate statistics has grown into a research area of almost unlimited potential in the natural sciences. The methods introduced in this book can successfully reduce masses of data to manageable and interpretable form. The authors give special attention to methods of robust estimation and the identification of atypical and influential observations. This textbook aims to introduce students of the natural sciences to the powerful technique of factor analysis and to provide them with the background necessary to be able to undertake analyses on their own. The authors explain new concepts in detail, and provide mathematical background where needed.

Previous ed.: 1993.

Bibliography: p. 351- 362. - Includes index.

Introduction -- Basic mathematical and statistical concepts -- Aims, ideas and models of factor analysis -- R-mode methods -- Q-mode methods -- Q-R-mode methods -- Steps in the analysis -- Examples and case histories.

Table of contents provided by Syndetics

  • 1 Introduction
  • 2 Basic mathematical and statistical concepts
  • 3 Aims, ideas, and models of factor analysis
  • 4 R-Mode methods
  • 5 Q-Mode methods
  • 6 Q-R-Mode Methods
  • 7 Steps in the analysis
  • 8 Examples and case histories

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