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DR LUKE AKONGO ORAWO

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Staff Information
PERSONAL DETAILS
Designation
SENIOR LECTURER
Corporate Email
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Personal Email
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Job Category
Teaching
Phone Number
+254 726026441
Division / Faculty
Faculty of Science
Directorate / Dept
DEPT. OF MATHEMATICS
Section
Statistics
Address
P.O. Box 536, Egerton-Kenya
SUMMARY

A committed lecturer and researcher with over a decade of experience in teaching statistics for both undergraduate and graduate students at Egerton University. Proven ability to explain complicated mathematical statistics concepts in an easily understandable manner. Supervised graduate theses, and published articles in peer-reviewed journals. Expertly skilled in utilizing statistical computer software to analyze data and draw accurate conclusions.

ACADEMIC QUALIFICATIONS
  • Centro de Investigacion en Matematicas (CIMAT)-Guanajuato, MEXICO

          Ph.D in Statistics

          Graduation date: February, 2006.

  • şŁ˝ÇĆĆ˝â°ć– Njoro, Kenya

         M.Sc, in Statistics

        Graduation date: November, 1994

  • şŁ˝ÇĆĆ˝â°ć– Njoro, Kenya

         B.Sc (GEN)

         Graduation date: 1991

FIELDS OF SPECIALIZATION
  • Statistics
WORK EXPERIENCE
  • Egerton University, Mathematics Department, Njoro-KENYA

          Lecturer, May, 1994 – Jan, 2001

  • CIMAT, Departamento de Probabilidad y Estadistica,Guajuato-MEXICO

         Teaching Assistant, August, 2003 – August, 2005

  • Universidad de Sonora, Departamento de Matematicas, Hermosillo,-MEXICO.

          Lectuer, August, 2006 – August, 2008

  • Egerton University, Mathematics Department, Njoro-KENYA

         Lecturer, September, 2008 – September, 2015

  • Egerton University, Mathematics Department, Njoro-KENYA

         Senior Lecturer, September, 2015 –Present

RESEARCH INTERESTS
  • Sequential Methods in Clinical Trials
  • Bayesian Statistical Inference
  • Likelihood Based Statistical Inference
LIST OF PUBLICATIONS
  1. Orawo L.A. (2006). “Advances in Bayesian Sequential Analysis for Clinical Trials’’, Ph.D Thesis.
  2. Orawo L.A. and Christen J.A. (2006) “Bayesian Sequential Analysis for Multiple-arm Clinical trials’’, Journal of statistical computing, 19: 99-109.
  3. Mwangi C., Islam A., Orawo L.(2014), “Efficiency of the Adaptive Cluster Sampling Designs in Estimation of Rare Population”, Open Journal of Statistics, 4, 412-418.
  4. Akuno A.O. Orawo L.A., Islam A.S.(2014) “One-Sample Bayesian Predictive Analyses for an Exponential Non-homogeneous Poisson Process in Software Reliability”, Open Journal of Statistics, 4, 402-411.
  5. Akuno A.O. Orawo L.A., Islam A.S.(2014) “Two-Sample Bayesian Predictive Analyses for an Exponential Non-homogeneous Poisson Process in Software Reliability”, Open Journal of Statistics, 4, 742-750.
  6. Mutunga, T.N., Islam, A.S., Orawo, L. (2014). Estimation of Asymmetric Garch Models: The Estimating Functions Approach. International Journal of Applied Science and technology, Vol 4. No. 5, page 198-209.
  7. Janiffer, N.M., Islam, A., and Luke, O. (2014). Estimating Equations for Estimation of Mcdonald Generalized Beta-Binomial Parameters. Open Journal of Statistics, (4): 702- 709.
  8. Mutunga, T. , Islam, A. and Orawo, L. (2015) Implementation of the Estimating Functions Approach in Asset Returns Volatility Forecasting Using First Order Asymmetric GARCH Models. Open Journal of Statistics, 5, 455-464. doi:
  9. Poti Abaja Owili, Luke Orawo, Dankit Nassiuma(2015)., Estimation of Missing Valuesfor Pure Bilinear Time Series Models with Student-t Innovations, International Journal of Statistics and Applications, Vol. 5 No. 6, pp. 293-
  10. Poti Owili Abaja, Dankit Nassiuma, Luke Orawo(2015). Imputation of Missing Values for Pure Bilinear Time Series Models with Normally Distributed Innovations. American Journal of Applied Mathematics and Statistics.; 3(5):199-
  11. Poti Abaja Owili, Dankit Nassiuma, Luke Orawo, (2015) Efficiency of Imputation Techniques for Missing Values of Pure Bilinear Models with GARCH Innovations, American Journal of Mathematics and Statistics, Vol. 5 No. 5, pp. 316-324. doi: 10.5923/j.ajms.20150505.13.
  12. Mwangi, O.W., Islam, A. and Luke, O. (2015), Bootstrap Confidence Intervals for Proportions of Un-equal Sized Groups Adjusted for Overdispersion. Open Journal of Statistics, 5, 502-510.
  13. Bichanga Lawrence Areba, Ali Islam, Orawo Luke. (2016), "C(Alpha) Tests for Testing Homogeneity of Proportions in the Presence of McDONALD Generalized Beta-Binomial Dispersion, International Journal of Science and Research (IJSR), Volume 4 Issue 11, 2066 - 2074.
  14. Albert Orwa Akuno, Timothy Mutunga Ndonye, Janiffer Mwende Nthiwa, Luke Akong’o Orawo, (2016). Regression Approach to Parameter Estimation of an Exponential Software Reliability Model, American Journal of Theoretical and Applied Statistics. Vol. 5, No. 3, pp. 80-86. doi: 10.11648/j.ajtas.20160503.11.
  15. Maina Kamau, Dr Isaac Ochieng, and Dr Luke Orawo. (2016)“Effects of Strategic Factors on Organizational Performance; A Case Study of the Kenya Geothermal Development Sector (Kengen)”. International Journal Of Management And Economics Invention 2, no. 09 : 833-851. Accessed April 20, 2021.
  16. Cheruiyot, N., Orawo, L. and Islam, A. (2018) Bayesian Predictive Analyses for Logarithmic Non-Homogeneous Poisson Process in Software Reliability. Open Access Library Journal, 5, 1-13.
  17. Cheruiyot, N., Orawo, L. and Islam, A. (2019) Predictive Analyses of Logarithmic Non -Homogeneous Poisson Process in Software Reliability Using Bayesian Approach with Informative Priors. American Journal of Mathematics and Statistics, 9(2): 57-65
  18. Mweleli, R. , Orawo, L. , Tamba, C. and Okenye, J. (2020) Interval Estimation in a Two Parameter Weibull Distribution Based on Type-2 Censored Data. Open Journal of Statistics, 10, 1039-1056.
  19. Kinyanjui Paul Kimani, Tamba, C. , Orawo, L. , and Okenye, J. (2020): Missing Data Imputation in Multivariate t Distribution with Unknown Degrees of Freedom Using Expectation Maximization Algorithm and Its Stochastic Variants’. , 15, no. 3, pp. 263-272.
  20. Orawo, L.A. (2021): Confidence Intervals for the Binomial Proportion: A Comparison of Four Methods.Open Journal of Statistics , 11, 806-816.
  21. Orawo Luke Akongo (2021). Likelihood-Based Confidence Intervals for the Parameters of a Simple Linear Regression Model with Cauchy Errors. International Journal of Statistical Distributions and Applications. Vol. 7, No. 4, pp. 108-114. doi: 10.11648/j.ijsd.20210704.15.
  22. Kering Emmanuel Kibet, Orawo Luke Akongo, Ali Salim Islam, Estimation of Parameters of the Weibull Geometric Model for Gap Times of Recurrent Events, International Journal of Statistics and Applications, Vol. 12 No. 2, 2022, pp. 49-53. doi: 10.5923/j.statistics.20221202.04.
  23. Orawo Luke Akongo. Profile Likelihood Confidence Intervals for the Parameters of a Nonhomogeneous Poisson Process with Linear Rate, American Journal of Theoretical and Applied Statistics. Volume 11, Issue 3, May 2022 , pp. 102-108. doi: 10.11648/j.ajtas.20221103.14.
  24. Otieno Collins, Orawo Luke Akong’o, Matiri George Munene, Justin Obwoge Okenye. Bayesian Interval Estimation in a Non-Homogeneous Poisson Process with Delayed S-Shaped Intensity Function, American Journal of Theoretical and Applied Statistics. Volume 12, Issue 3, May 2023 , pp. 43-50. doi: 10.11648/j.ajtas.20231203.12
  25. Collins, O. , Orawo Luke Akong’o. and Munene, M. (2023) One-Sample Bayesian Predictive Analyses for a Nonhomogeneous Poisson Process with Delayed S-Shaped Intensity Function Using Non-Informative Priors. Open Journal of Statistics, 13, 717-733. doi: .
  26. Otieno, F.A.,Tamba, C.L., Okenye, J.O. and Orawo, L.A.(2023) Dynamic Spatio-Temporal Model-ing in Disease Mapping.Open Journal of Statistics, 13, 893-916.
TEACHING AREAS
  • Probability and Statistics
  • Statistical Computer Programming
  • Theory of Estimation
  • Testing of Hypotheses
  • Applied Multivariate Analysis
  • Measure Theory and Probability
  • Advanced Statistical Inference
  • Linear Models
  • Bayesian Inference
  • Statistical Computing
  • Biometrics
POSTGRADUATE SUPERVISION
MASTERS LEVEL :

Completed

  1. Karisa Lenox Kombe (2013): Maximum Likelihood Estimation in Simple Linear Regression with Cauchy Errors
  2. Siele Dickson (2013): Interval Estimation for the Beta-Binomial Dispersion Parameter
  3. Mwangi Charles Wambugu. (2015): Determination of an Efficient sampling Design for Rare and Clustered Population using Design based Estimators
  4. Mutunga T. Ndonye. (2015): Parameter Estimation of the Asymmetric Garch Models using the Estimation Functions Approach
  5. Janiffer Mwende Nthiwa. (2015): Estimation of the Parameters of McDonald Generalized Beta-Binomial Distribution Using Estimating Functions
  6. Akuno A.Orwa. (2015): Predictive Analyses for an Exponential Non-homogeneous Poison Process in Software Reliability.
  7. Kariuki V. Waithera. (2015): Estimation of Parameters of a Non-Homogeneous Poisson Process with Log-Linear Intensity Function
  8. Mwangi, O.Wanjeri (2015), Bootstrap Confidence Intervals for Proportions of Un-equal Sized Groups Adjusted for Overdispersion
  9. Bichanga Lawrence Areba (2016), "C(Alpha) Tests for Testing Homogeneity of Proportions in the Presence of McDONALD Generalized Beta-Binomial Dispersion.
  10. Cheruiyot Nickson (2019): Bayesian Predictive Analyses for Non-Homogenous Poisson Process in Software Reliability with Musa-Okumoto Intensity Function
  11. Paul K. Kinyanjui (2020): Imputation of Missing Values in Multivariate t- Distribution using Expectation Maximization Algorithm and its Stochastic Variant Methods

Ongoing

  1. Mweleli Raphael Masila (in progress): Interval Estimation in a Two Parameter Weibull Distribution based Type-2 Censored Data
  2. Kering Emmanuel Kibet (in progress): Estimation of the Parameters of the Weibull Geometric Model for Gap Times of Recurrent Events
  3. Collins Otieno (in progress): Bayesian Interval Estimation and Predictive Analyses in a Nonhomogeneous Poisson Process with Delayed S-shaped Intensity Function
  4. Flavian Awere Otieno (in progress): Bayesian Spatio-Temporal Modelling of Meningitis Epidemiology in Kenya
  5. Velmah Jepkoech Kiprop (in progress): Interval Estimation in Pool Testing with Retesting Strategy
  6. Gitau Beth Wambui (in progress): Estimation of Parameters in Multiple Linear Regression Models with Asymmetric Error Distribution
PhD. LEVEL :
  1. Poti Owili Abaja (2016): Imputation of Missing Values for Bilinear Time Series Models, PhD Thesis, Kabarak University-Kenya
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