ARCHIVES
Research Article
Prioritizing Trail Bridge Construction Projects in Nepal Using Linear Discriminant Analysis
Om Bahadur Khadka1
Dr. Anirban Das2
Dr. Dilip Kumar Banerjee3
1Research Scholar, Department of Computer Science & Engineering, Seacom Skills University, Birbhum, West Bengal, India. 2Professor University of Engineering & Management, Kolkata, West Bengal, India. 3University Research Professor, Seacom Skills University, Birbhum, West Bengal, India.
Published Online: May-June 2024
Pages: 203-208
Cite this article
↗ https://www.doi.org/10.59256/ijire.20240503025
References
1. Hagen, T. (1960). Nepal: The Kingdom in the Himalayas. Oxford University Press.
2. Nepal Development Research Institute. (2019). Rural Infrastructure Development in Nepal: Challenges and Opportunities.
3. Helvetas. (2020). Annual Report 2020: Bridging the Gap in Rural Nepal.
4. Adhikari, B., & Lovett, J. C. (2006). Institutions and collective action: Does heterogeneity matter in community-based resource
management? Journal of Development Studies, 42(3), 426-445.
5. Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179-188.
6. Johnson, R., Brown, L., & Smith, K. (2017). Prioritizing rural road construction projects in Kenya using Linear Discriminant
Analysis. International Journal of Infrastructure Planning, 12(2), 145-159.
7. McLachlan, G. J. (2004). Discriminant Analysis and Statistical Pattern Recognition. Wiley-Interscience.
8. Hastie, T., Tibshirani, R., & Friedman, J. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction.
Springer.
9. Rao, C. R. (1948). The utilization of multiple measurements in problems of biological classification. Journal of the Royal Statistical
Society: Series B (Methodological), 10(2), 159-203.
10. Ripley, B. D. (1996). Pattern Recognition and Neural Networks. Cambridge University Press.
11. Jain, A. K., Duin, R. P., & Mao, J. (2000). Statistical pattern recognition: A review. IEEE Transactions on Pattern Analysis and
Machine Intelligence, 22(1), 4-37.
12. Krzanowski, W. J., & Marriott, F. H. C. (1995). Multivariate Analysis: Part 2, Classification, Covariance Structures and Repeated
Measurements. Arnold.
13. Hand, D. J. (1981). Discrimination and Classification. Wiley.
14. Venables, W. N., & Ripley, B. D. (2002). Modern Applied Statistics with S. Springer.
15. Rencher, A. C. (2002). Methods of Multivariate Analysis. Wiley-Interscience.
16. McLachlan, G. J. (2004). Discriminant Analysis and Statistical Pattern Recognition. Wiley-Interscience.
17. Johnson, R. A., & Wichern, D. W. (2007). Applied Multivariate Statistical Analysis. Pearson.
2. Nepal Development Research Institute. (2019). Rural Infrastructure Development in Nepal: Challenges and Opportunities.
3. Helvetas. (2020). Annual Report 2020: Bridging the Gap in Rural Nepal.
4. Adhikari, B., & Lovett, J. C. (2006). Institutions and collective action: Does heterogeneity matter in community-based resource
management? Journal of Development Studies, 42(3), 426-445.
5. Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179-188.
6. Johnson, R., Brown, L., & Smith, K. (2017). Prioritizing rural road construction projects in Kenya using Linear Discriminant
Analysis. International Journal of Infrastructure Planning, 12(2), 145-159.
7. McLachlan, G. J. (2004). Discriminant Analysis and Statistical Pattern Recognition. Wiley-Interscience.
8. Hastie, T., Tibshirani, R., & Friedman, J. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction.
Springer.
9. Rao, C. R. (1948). The utilization of multiple measurements in problems of biological classification. Journal of the Royal Statistical
Society: Series B (Methodological), 10(2), 159-203.
10. Ripley, B. D. (1996). Pattern Recognition and Neural Networks. Cambridge University Press.
11. Jain, A. K., Duin, R. P., & Mao, J. (2000). Statistical pattern recognition: A review. IEEE Transactions on Pattern Analysis and
Machine Intelligence, 22(1), 4-37.
12. Krzanowski, W. J., & Marriott, F. H. C. (1995). Multivariate Analysis: Part 2, Classification, Covariance Structures and Repeated
Measurements. Arnold.
13. Hand, D. J. (1981). Discrimination and Classification. Wiley.
14. Venables, W. N., & Ripley, B. D. (2002). Modern Applied Statistics with S. Springer.
15. Rencher, A. C. (2002). Methods of Multivariate Analysis. Wiley-Interscience.
16. McLachlan, G. J. (2004). Discriminant Analysis and Statistical Pattern Recognition. Wiley-Interscience.
17. Johnson, R. A., & Wichern, D. W. (2007). Applied Multivariate Statistical Analysis. Pearson.
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