study@cuea.edu +254 (0) 709 691-000
study@cuea.edu +254 (0) 709 691-000

Dr. Hellen Waititu

Dr. Hellen Waititu

Publications

  • Nsabimana, F., Waititu, H., & Nyakundi, C. (2023). Modeling dependence using Copula GARCH. Asian Journal of Probability and Statistics, 24(1), 45-61. https://doi.org/[DOI]

  • Tracy, K., Waititu, H., & Sewe, S. (2022). A copula-based approach for modeling the dependence between inflation and exchange rate in Kenya. Asian Journal of Probability and Statistics, 18(4), 59-84. https://doi.org/[DOI]

  • Odhiambo, V., Waititu, H., & Onwando, N. C. (2022). Nonparametric estimation of error variance under simple random sampling without replacement. International Journal of Mathematics and Computer Research, 10(10), 2925-2933. https://doi.org/[DOI]

  • Mundia, I., Waititu, H., Owuor, N., & Sewe, S. (2022). Evaluating the role of maternal income in mediating the effect of mother’s education on under-five child mortality in Kenya. Asian Journal of Probability and Statistics, 18(3), 10-22. https://doi.org/[DOI]

  • Waititu, H. W., Koskei, J. K., & Onyango, N. O. (2021). Analysis of balanced random survival forest using different splitting rules: Application on child mortality. International Journal of Statistics and Applications, 11(2), 37-49. https://doi.org/[DOI]

  • Waititu, H. W., Koskei, J. K., & Onyango, N. O. (2020). Determinants of under-five child mortality from KDHS data: A balanced random survival forests (BRSF) technique. International Journal of Statistics and Applications, 10(5), 118-130. https://doi.org/[DOI]

  • Waititu, H. W. (2021). Improved balanced random survival forest for the analysis of right censored data: Application in under-five mortality. PhD Thesis, Moi University.

  • Ngolo, N., Okuto, E., & Waititu, H. (2019). Application of Cox PH model on broilers in La Nyevu poultry farm in Kaloleni sub-county; A survival analysis case study. Bulletin of Mathematics and Statistics Research, 7(3).

  • Waititu, H. W., & Njenga, E. (2016). Non-parametric variance estimation using donor imputation method. American Journal of Theoretical and Applied Statistics, 5(5), 252-259. https://doi.org/[DOI]