Dr. Ohakwe Johnson

Area Of Specialization:

Time Series Analysis And Forecasting

Thesis:

Characteristics And Tables Of Moments Of The Purely Diagonal And Linear Moving Average Time Series Models.

Courses Taught

1. MTH 101 – GENERAL MATHEMATICS I

2. MTH 102 – GENERAL MATHEMATICS II

3. MTH 202 – ORDINARY DIFFERENTIAL EQUATIONS

4. MTH 207 – REAL ANALYSIS 1

5. MTH 208 – REAL ANALYSIS II

6. STA 111 – PROBABILITY I

7. STA 211 – PROBABILITY AND STATISTICS I

8. STA 230 – INFERENTIAL STATISTICS II

9. STA 232 – LAB. FOR STA 230 – INFERENTIAL STATISTICS I

10. STA 311 – PROBABILITY AND STATISTICS II

11. STA 321 – DISTRIBUTION THEORY

12. STA 342 – SAMPLING AND SURVEY METHODS I

13. STA 344 – STATISTICAL QUALITY CONTROL

14. STA 346 – LAB. FOR STA 344 – STATISTICAL QUALITY CONTROL.

15. STA 361 – OPERATIONS RESEARCH I

16. STA 363 – LAB. FOR OPERATIONS RESEARCH I

17. STA 413 – TIME SERIES ANALYSIS

18. STA 423 – DESIGN AND ANALYSIS OF EXPERIMENTS

19. STA 424 – ANALYSIS OF VARIANCE

20. STA 451 – INFERENTIAL STATISTICS III

21. STA 453 – LAB. FOR INFERENTIAL STATISTICS III

22. STA 713 – TIME SERIES ANALYSIS FOR PG STUDENTS.

Research Interest

My research interests lie primarily in the areas of Statistical Modeling in general and Time Series Analysis and Forecasting in particular.

My dissertation work focused on comparing a linear stationary process: a first order moving average process and nonlinear process: a simple purely diagonal bilinear time series.

While my research interests have gravitated towards problems in time series analysis (inference, estimation, prediction and general properties of time series models), i still have a strong interest in the application of extreme value theory in my approach to solving problems in time series analysis. Linear time series models with non-normal innovations have also been frequent objects of study in my research.

Finally, i also wish to say that i have interest in distribution theory- where i have derived the distributions of some density functions under various transformations and data analysis – where i have applied sound statistical techniques to analyse socio-economic, economic and environmental data

Selected Publications

1. Ohakwe, J And I. S. Iwueze, Characterizations Of The Moments Of The Purely Diagonal Bilinear Time Series Model Of Order One, Interstat Journal Of Statistics: no. 2, june 2009.

http://interstat.statjournals.net/year/2009/abstracts/0906002.php

2. Iheanyi S. Iwueze And Ohakwe Johnson,

Covariance Analysis Of The Squares Of The Diagonal Completely Bilinear Time Series Models, Brazilian Journal Of Probability And Statistics, vol. 25, 2011, no. 1, 90 – 98

DOI: 10.1214/09-bjps111

www.imstat.org/bjps/papers/bjps111.pdf

3. Innocent.C. Nnorom, Ohakwe Johnson And Oladele Osibanjo, Survey Of Willingness Of Residents To Participate In Electronic Waste Recycling In Nigeria – A Case Study Of Mobile Phone Recycling, Journal Of Cleaner Production, Elsevier, 17 (2009) 1629 – 1637.

DOI:10.1016/J.Jclepro.2009.08.009

Award: No 15 On The List Of Top 25 Hottest Articles, October – December, 2009(Science Direct Top 25 Hottest Articles).

http://top25.sciencedirect.com/subject/energy/11/journal/journal-of-cleaner-production/09596526/archive/24/

4. J. Ohakwe, O. Iwuoha And E. L. Otuonye.

Condition For Successful Square Transformation In Time Series Modeling. Applied Mathematics, vol. 4, 2013, 680 – 687,

DOI: 10.4236/am.2013.44093

5. J. Ohakwe and D. C. Chikezie.

Power Transformations And Unit Mean And Constant Variance Assumptions Of The Multiplicative Error Model: The Generalized Gamma Distribution. British Journal Of Mathematics And Computer Science. 4(2), 2014, pp. 288 – 306.

6. O.E. Okererke, I.S. Iwueze and J. Ohakwe. Necessary Conditions For The Application Of Moving Average Process Of Order Three, Applied Mathematics, vol. 6, 2015, pp. 173 – 181.

Doi: 10.4236/am.2015.61017.

Dr. Ohakwe Johnson