References

CLASSIFICATION OF HIGHER EDUCATION LOANS USING MULTINOMIAL LOGISTIC REGRESSION MODEL


[1] http://helb.co.ke.

[2] P. Chacha, Logistic Regression Versus Neural Networks in Classification of Binary Data, Master’s Thesis, Jomo Kenyatta University of Agriculture and Technology, 2007.

[3] Delany and Moore, Classification of Primary Food Choices of Alligators in a Lake, Master’s Thesis, Florida Lake, 1987.

[4] D. K. Muriithi, J. Waititu and A. Waititu, Ordinal logistic regression versus multiple binary logistic regression model for predicting student loan allocation, Journal of Agriculture, Science and Technology 14(1) (2012).

[5] W.-Y. H. and D. R. B., Using multinomial logistic regression analysis to understand anglers willingness to substitute other fishing locations, Proceedings of the Northeastern Research Symposium (2006), GTR-NRS-P-14.

[6] J. P., C.-Y. and N. R. N., Using multinomial logistic models to predict adolescent behavioural risk, Journal of Modern Applied Statistical Methods 2(1) (2003).

[7] R. McKelvey and W. Zavoina, A statistical model for the analysis of ordinal level variable, Journal of Mathematical Sociology 4 (1975), 103-120.

[8] Y. Wang, A multinomial logistic regression modelling approach for anomaly intrusion detection, Computers Security 24 (2005), 662-674.

[9] M. Wedel, Concomitant variables in finite mixture models, Statistica Neerlandica 56 (2002).