Discriminant Analysis

Authors

  • Maryam Abdul Hussein Asger
  • Sawsan Qasim Hadi

DOI:

https://doi.org/10.31272/jae.i142.1048

Keywords:

Discriminant analysis, , multivariate statistical analysis, discriminant function .

Abstract

      Discriminant analysis is regarded as one of the significant procedures in multivariate statistical analysis, which is concerned with how to distinguish or separate two or more groups based on certain standards that are similar in some characteristics, where each individual or observation belongs to the correct group through the use of the discriminant function. It is, i.e. the discriminant function, a linear combination of variables and is relied upon for the purpose of prediction and classification for new observations of one of the groups, which provides us with an integrated estimate of the efficiency of the classification rules and must give the least probability of classification error in order to obtain the best results. 

 

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References

1- Brown, K. (2000). Multivariate Statistical Analysis. Ph.D. thesis, New York university.

2- Press, S. J., & Wilson, S. (1978). Choosing between logistic regression and discriminant analysis. Journal of the American Statistical Association, 73(364), 699-705.‏ DOI: https://doi.org/10.1080/01621459.1978.10480080

3- Ramayah, T., Ahmad, N. H., Halim, H. A., & May-Chiun, S. R. M. Z. (2010). Discriminant analysis: An illustrated example. African Journal of Business Management, 4(9), 1654.‏

4- Thia, J. A. (2023). Guidelines for standardizing the application of discriminant analysis of principal components to genotype data. Molecular Ecology Resources, 23(3), 523-538.‏ DOI: https://doi.org/10.1111/1755-0998.13706

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Published

2024-05-26

How to Cite

Discriminant Analysis . (2024). Journal of Administration and Economics, 49(142), 284-287. https://doi.org/10.31272/jae.i142.1048

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