Lecturer I, Department of Statistics

Ngozi C. Umelo-Ibemere

Ngozi Chizoma Umelo-Ibemere

Lecturer I

Biography

Umelo-Ibemere is a lecturer in the Department of Statistics, Federal University of Technology Owerri. She is fully involved in teaching, supervising and coordinating undergraduate projects. She has also participated in coordinating the Students’ Industrial Work Experience Scheme (SIWES) in the Department. She attended Obazu Community School, Mbieri and Dora Chinyere Nwankiti Juniorate, Inyishi where she obtained her First School Leaving Certificate (FSLC) and Senior School Certificate Examination (SSCE) respectively. She also holds B.Sc. Computer Science / Statistics and M.Sc. Statistics from the University of Nigeria, Nsukka. Umelo-Ibemere is a member of the Nigerian Statistical Association. She has research articles in Response Surface Designs and currently carrying out her doctoral research on “Optimal designs for multiresponse models”.

Qualifications
Affiliations
Courses Assigned to Teach
Experience
Research Interest
Publications

Academic Qualification

  • M.Sc. Statistics, 2011
  • B.Sc. Computer Science / Statistics, 2004

Affiliations

Member, Nigerian Statistical Association

Course Code/Course assigned to teach:

  • STA 515          Regression and Analysis of Variance II
  • STA 514          Design and Analysis of Experiments II
  • STA 451          Design and Analysis of Experiments I
  • STA 453          Laboratory for Experimental Design I
  • STA 338          Social and Economic Statistics
  • STA 211          Introduction to Statistics and Probability
  • STA 222          Statistical Inference II
  • STA 708          Experimental Design
  • STA 713          Biometric Methods

Experience

  • 2009 – 2011: Graduate Assistant, Federal University of Technology, Owerri
  • 2011 – Date: Lecturer, Federal University of Technology, Owerri

Research Interest

  • Optimal Design of Experiments
  • Response Surface Methodology

Publications

  1. Umelo-Ibemere, N.C. (2018). Extension of the Prediction Variances of the Face-Centred Central Composite Designs to Multiresponse Models. FUTOJNLS, Vol. 4, issue 1, 347-357.
  2. Chigbu, Polycarp E. and Umelo-Ibemere, Ngozi C. (2015). On Slope Estimation Capabilities of Some Second-Order Response Surface Designs. Journal of Statistics Applications & Probability, Vol. 4, 3, 361-366.
  3. Umelo-Ibemere, Ngozi C. and Amuji, Harrison O. (2015). Quantile Plots of the Prediction Variance of Partially Replicated Central Composite Design. International Journal of Statistics & Probability, Vol. 4, 2, 55-60.
  4. Amuji, Harrison O. and Umelo-Ibemere, Ngozi C. (2015). Application of Geometric q Programming in Modelling of Solid Waste Products (refuse): A Contribution to Combating Pollution, Uncontrolled spending and Climate Change. Journal of the Nigerian Association of Mathematical Physics, Vol. 31, 409-412.
  5. Amuji, Harrison O. and Umelo-Ibemere, Ngozi C. (2015). Comparison of the Reliability of Dry Cell Batteries. Journal of the Nigerian Association of Mathematical Physics, Vol. 31, 413-418.

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