Paper Title:
Application of Progressively Statistical Discriminant Models
  Abstract

Discriminant analysis is an important multivariate statistical analysis, and plays an important part in pattern classification, data mining, machine learning et al. In this paper, based on principle of progressively statistical discriminant analysis under Fisher rule, a progressively statistical discriminant model is set up. The authors analyzed the data about the occurrence of the second generation of the corn borer in 21 years from 1985 to 2006 (except 1990) at Linyi, Shandong Province, and then set up three graded recognition pattern. The results tested the pest data showed that the fitting rate is 95.24%, 92.31% and 100% respectively, and that accuracy of forecast is satisfactory.

  Info
Periodical
Edited by
Qi Luo
Pages
1922-1925
DOI
10.4028/www.scientific.net/AMM.55-57.1922
Citation
B. C. Fan, "Application of Progressively Statistical Discriminant Models", Applied Mechanics and Materials, Vols. 55-57, pp. 1922-1925, 2011
Online since
May 2011
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Price
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