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Mr Ebenezer Afrifa-Yamoah

Overview of thesis

Imputations, Modelling and Optimal Sampling Design for Remote Camera Surveys

Aspects of fisheries management require effective monitoring of recreational fisheries to ensure sustainability. Unlike commercial fishers, recreational fishers are not required to report on catches and effort. The use of probability-based survey methods that expand estimates of catch and effort to population totals is common. Therefore, there is the need for independent validation and corroboration of recreational survey results.  Remote camera surveys are useful tool to validate boating activity (defined in launches or retrievals) and corroborate recreational fishing effort obtained from other studies, because they provide the opportunity for monitoring boating activities that may represent an extremely large sample or even a census of boating activities. However, there are challenges in the use of the remote cameras that need to be resolved. These include missing observations, the effect of environmental and climatic conditions on estimates of boating activities and the high cost of data interpretation. In this study, boat launches and retrievals will be analysed from an extensive network of boat ramp cameras along the Western Australian coastline, including metropolitan and remote areas. The aims of the study are to: develop an imputation scheme that incorporates environmental and climatic conditions to “fill in” missing observations due to camera outages;  build time series and regression models to understand the trends and patterns in boating activities; and design an optimal sampling scheme for the camera records to reduce data interpretation cost.

Qualifications

  • Master of Science (Mathematical Statistics), Norwegian University of Science and Technology, Norway (2014-206)
  • Master of Philosophy (Mathematical Statistics), Kwame Nkrumah University of Science and Technology, Ghana (2013-2016)
  • Master of Education (Mathematics), University of Education, Winneba, Ghana (2012-2014)
  • Bachelor of Science (Hons) (Statistics) (First Class), University of Cape Coast, Ghana (2009-2011)
  • Higher National Diploma (Statistics) (First Class), Kumasi Polytechnic, Ghana (2005-2008)

Awards and Recognition

  • Quota Scheme Scholarship, Norwegian University of Science and Technology, Trondheim, Norway
  • Department of Fisheries Research Agreement Scholarship, Edith Cowan  University, Perth, Australia

Research

Research Interests

  • Applied Statistics
  • Modelling
  • Mathematics Education

Past Teaching

  • 2013-2014: Teaching Assistant, Kwame Nkrumah University of Science and Technology, Accra City Campus, Ghana
  • 2011-2014: Mathematics Tutor, Gyaama Pensan Senior High Technical School, Ghana
  • 2008-2009, Teaching Assistant, Kumasi Technical University, formerly Kumasi Polytechnic, Ghana

Recent Publications (within the last five years)

Journal Articles

  • Afrifa-Yamoah E*., Okyere, G.A., Asare-Bediako, M., Bashiru I.I. Saeed (2016) A Robust Procedure for the Fit of One-way ANOVA Model underAdaptation on the Observed Samples, Journal of Mathematics and Statistical Sciences, Vol. 2016, 534-553.
  • Afrifa-Yamoah E.*, P. O. Cofie, Bashiru I. I. Saeed, Azumah Karim, Adu Paul (2016), Measuring and Relating Senior High School Students’ Achievement Motivation towards Mathematics Lessons, Education, Vol. 6 No. 4, pp. 89-95. doi: 10.5923/j.edu.20160604.01.
  • Afrifa-Yamoah E. (2016), Achievement Motivation as a Function of Participation, Strive, Willingness to Work and Maintaining Work: Application of Structural Equation Modelling (SEM), International Journal of Psychology and Behavioral Sciences, Vol. 6 No. 3, pp. 133-138. doi: 10.5923/j.ijpbs.20160603.06.
  • Amina Abubakari, Azumah Karim*, Bashiru I. I. Saeed and Afrifa-Yamoah E. (2016), Trend analysis of malaria cases in Ghana from 1985 – 2008, Sky Journal of Medicine and Medical Sciences Vol. 4(4), pp. 028 – 033.
  • Afrifa-Yamoah E*., Bashiru I. I. Saeed, Azumah Karim (2016), SARIMA Modelling and Forecasting of Monthly Rainfall in the Brong Ahafo Region of Ghana, World Environment, Vol. 6 No. 1, pp. 1-9. doi: 10.5923/j.env.20160601.01.
  • Afrifa-Yamoah E. (2015), Application of ARIMA Models in Forecasting Monthly Average Surface Temperature of Brong Ahafo Region of Ghana, International Journal of Statistics and Applications, Vol. 5 No. 5, pp. 237-246. doi: 10.5923/j.statistics.20150505.08.

Conference Publications/ Presentations

  • Afrifa-Yamoah E. and Okyere, G.A., A Robust Procedure for the Fit of One-way Analysis of Variance (ANOVA) models with Uncorrelated Errors, Poster presentation at AMISTAT 2015 Conference, Prague, Czech Republic.

Supervisors

  • Assoc. Prof. Ute Mueller, School of Science, Edith Cowan  University
  • Dr. Aiden Fisher, School of Science, Edith Cowan  University
  • Dr. Stephen Taylor, Research Scientist, Department of Primary Industries and Regional Development, WA

Contact

Eben
PhD Student
School of Science
Mobile: 0424559378
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