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Estimation and Analysis of Insect Populations pp 169–189Cite as

A Review of Methods for Key Factor Analysis

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Part of the book series: Lecture Notes in Statistics ((LNS,volume 55))

Abstract

Key factor analysis is a term that has become standard for methods for analyzing data on the total numbers entering the stages for a series of sucessive egenerations of a stage structured population. This paper is a review of these methods, concentrating on ones that have developed from Varley & Gradwell’s graphical method based on k values. The winter moth in Wytham Wood is used as an example.

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References

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Author information

Authors and Affiliations

  1. Department of Mathematics and Statistics, University of Otago, P.O. Box 56, Dunedin, New Zealand

    Bryan F. J. Manly

  2. Department of Statistics, University of Wyoming, Laramie, 82071, Wyoming, USA

    Bryan F. J. Manly

Authors
  1. Bryan F. J. Manly
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Editor information

Editors and Affiliations

  1. Departments of Statistics and Zoology, University of Wyoming, Laramie, WY, 82071, USA

    Lyman L. McDonald

  2. Department of Mathematics and Statistics, University of Otago, Dunedin, New Zealand

    Bryan F. J. Manly

  3. Department of Plant, Soil and Insect Sciences, University of Wyoming, Laramie, WY, 82071, USA

    Jeffrey A. Lockwood

  4. Departments of Entomology and Forestry, Virginia Polytechnic Institute, Blacksburg, VA, 24061, USA

    Jesse A. Logan

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© 1989 Springer-Verlag Berlin Heidelberg

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Manly, B.F.J. (1989). A Review of Methods for Key Factor Analysis. In: McDonald, L.L., Manly, B.F.J., Lockwood, J.A., Logan, J.A. (eds) Estimation and Analysis of Insect Populations. Lecture Notes in Statistics, vol 55. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3664-1_11

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  • DOI: https://doi.org/10.1007/978-1-4612-3664-1_11

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-96998-5

  • Online ISBN: 978-1-4612-3664-1

  • eBook Packages: Springer Book Archive

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