Prof. (Mrs.) Atinuke Olusola Adebanji

Professor

Dept: Statistics and Actuarial Science
SF3, Department of Statistics and Actuarial Science
Faculty of Physical and Computational Sciences
College of Science
KNUST
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Research Areas/Interests

Multivariate Data Analysis MultiBlock Data Analysis Population and Development Statistics Reproductive and Public Health Epidemiology and Biosta...~more

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Research Projects (Current and Past)

  1. Michael Asamoah, Atinuke Adebanji and Romain Glele Kakai (2017); Small population size and large dimension performance of some equal mean discrimination functions, International Journal of Mathematics and Statistics, Vol 18, no. 1, pp 77 – 86. ISSN 0974-7117 (Print); ISSN 0973-8347 (Online).
  2. Richard Purbalanta and Atinuke Adebanji (2017); Bayesian Spatial Ordinal Models for Regional Household Poverty Severity; American Journal of Mathematics and Statistics; 7, no.2, pp.78-88. Doi10.5923/j.aajms.20170702.04
  3. Michael Asomaoh-Boaheng, Atinuke Adebanji and Oreoluwa Labeodan (2016); Some zero mean classification functions with unequal prior probabilities and non-normality; Journal of Statistical and Econometric Methods, 5, no.3, pp.11-31.
  4. Louis Asiedu, Atinuke Adebanji, Francis Oduro and Felix Mettle (2016); Statistical Assessment of PCA/SVD and FFT-PCA/SVD on Variable Facial Expressions; British Journal of Mathematics and Computer Science, Vol.12 (6), pp.1-14. Doi10.9734/bjmcs/2016/22141.
  5. Atinuke Adebanji, Michael Asamoah-Boaheng and Olivia Osei-Tutu (2016); Robustness of the Quadratic Discriminant Function to correlated and uncorrelated normal training samples, SpringerPlus, vol.5102. doi10.1186/s40064-016-1718-3
    URL http//www.springerplus.com/content/5/1/102
  6. Atinuke Adebanji, Michael Asamoah-Boaheng and Olivia Osei-Tutu (2016); Asymptotic performance of the quadratic discriminant function to skewed training samples, SpringerPlus, vol.51530. doi10.1186/s40064-016-3204-3 URL http//www.springerplus.com/content/5/1/102
  7. Louis Asiedu, Francis Oduro, Atinuke Adebanji, and Felix Mettle (2016); A statistical Assessment of Whitened PCA/SVD under variable environmental Constraints; International Journal of Ecological Economics and Statistics;37 No.1, pp 63-79.
  8. David Adedia, Atinuke Adebanji, Moremi Labeodan and Shola Adeyemi (2016); Ordinary Least Squares and Robust Estimators in Linear Regression Impacts of Outliers, Error and Response Contaminations; British Journal of Mathematics and Computer Science; vol.13 (4); 1-11. doi 10.9734/bjmcs/2016/22876.
  9. David Adedia, Atinuke Adebanji and Simon Appiah (2016); Leverage Effect on Robust Regression Estimators, Journal of Mathematical Theory and Modelling (iiste), vol.6, no.7, pp. 53-61. http//iiste.org/Journals/index.php/MTM/article/view/31546/32418.
  10. Abukari Alhassan, Hussein Salifu and Atinuke Adebanji (2016); Discriminant Analysis of farmers adoption of improved maize varieties in Wa Municipality, Upper West Region of Ghana; SpringerPlus5;1514. Doi. 101186/s40064-016-3196-z.
  11. Richard Puurbalanta and Atinuke Adebanji (2016); Household poverty-risk analysis and prediction using Bayesian Ordinal Probit Models, International Journal of Statistics and Applications, 6, no. 6, pp 399-407. doi 10.5923/j.statistics.20160606.09
  12. David Adedia, Atinuke Adebanji, Eric Okyere and Kwaku Agyen (2016); Leverages, Outliers and the performance of robust regression estimators; British Journal of Mathematics & Computer Science; vol.15, no.3, pp. 1-14. doi 10.9734/bjmcs/2016/24281.
  13. Atinuke Adebanji, Shola Adeyemi and Mark Gyamfi (2015); Empirical Analysis of factors associated with neonatal length of stay in Sunyani, Ghana; Journal of Public Health and Epidemiology, vol.7(3), pp. 59-64. doi 10.5897/jphe2014.0679
  14. Louis Asiedu, Atinuke Adebanji, Francis Oduro and Felix Mettle (2015); Statistical Evaluation of face recognition techniques under variable environmental constraints; International Journal of Statistics and probability, vol.4 No.4 pp. 93 – 111. doi10.5539/ijsp.v4n4p93.
  15. Odame Owiredu, Atinuke Adebanji and Romain Kakai (2014); ARIMA-Noise model for a segmented intervention analysis of maternal health policy on assisted delivery; International Journal of Applied Mathematics and Statistics; 52, No. 1, pp 62-71. ISSN 0973-1377
  16. Odame Owiredu, Atinuke Adebanji and Oreoluwapo Labeodan (2014); Using Holt Winter’s Multiplicative Model to Forecast Assisted Childbirths at the Teaching Hospital in Ashanti Region, Ghana; Journal of Biology, Agriculture and Healthcare (IISTE) Vol. 4, No.9, pp 83-88.
  17. Richard Puurbalanta, Atinuke Adebanji and Richard Clottey (2014); Poisson Log- Linear Analysis of Postpartum Length of Stay;The International Journal of Science and Technology, Vol.2 Issue 12, pp. 82 – 88.

  1. Michael Asamoah, Atinuke Adebanji and Nkansah Ababio (2014); Comparing the performance of zero mean classification functions under unequal misclassification cost; American Jr of Applied Mathematics and Statistics, vol.1, no. 6, 409 – 415; doi12691/ajams-2-6-9.
  2. Salako V.K, Adebanji and R. Kakai (2013); On the Empirical Performance of Non-Metric Multidimensional Scaling in Vegetation Studies; International Journal of Applied Mathematics and Statistics (IJAMAS),   Vol. 36; Issue # 6, 2013.
  3. Philemon Baah, Atinuke Adebanji and Romain Kakai (2013); Optimal Ratio of Continuous to Categorical Variables for the Two Group Location Model; International Journal of Applied Mathematics and Statistics (IJAMAS), 42; Issue # 12, pp 18-26.
  4. Lea Anzagra, Atinuke O. Adebanji and Peter T. Birteeb (2013); Average Time to Justice Delivery; A Case Study in the Upper West and East Regional District and Circuit Courts in Ghana; of Developing Country Studies (IISTE), Vol.3, No.5, pp 15-21; ISSN 2224-607X (Paper) ISSN 2225-0565 (Online).
  5. Oludare S. Ariyo and O.Adebanji (2011), Robust Linear Classisfier for Unequal Cost Ratios of Misclassifications; Central Bank of Nigeria (CBN) Journal of Applied Statistics, Vol 2 No. 1 pp 51 – 59.
  6. Atinuke Adebanji and Sagary Nokoe (2011); Effects of Mahalanobis Distance and Prior Probabilities on the performance of the Linear and Quadratic discriminant functions A Monte Carlo Approach; 127 pages; © 2011 LAMBERT Academic Publishing GmbH & Co. KG, Dudweiler Landstr Saabrucken, Germany ISBN 978-3-8465-2416-9, hard copy published in USA.
  7. Atinuke Adebanji, Sagary Nokoe and Shola Adeyemi (2010); Effects of Sample Size Ratio on the Performance of the Quadratic Discriminant Function; ASSET- An International Journal of the University of Agriculture, Abeokuta, Nigeria, Series B, Vol. 9 No. 1, pp 29 - 37.
  8. Atinuke Adebanji, Sagary Nokoe and Olutayo Iyaniwura (2010); Error Rates Stability of the Homoscedastic Discriminant Function; ASSET- An International Journal of the University of Agriculture, Abeokuta, Nigeria, Series B, Vol. 9 No. 2, pp 6 - 13.
  9. John Owino, Atinuke Adebanji, Marlyne Ingwe and Julia Njoroge (2010); Spatial Binomial Generalized Linear Model of Tree Species occurrence in Mt. Kenya region; The East Africa Journal of Statistics, Vol.2, No. 3.
  10. Atinuke Adebanji, Shola Adeyemi and Joseph Olutayo Iyaniwura (2008); Effects of Sample Size Ratios on the Performance of the Linear Discriminant Function; International Journal of Modern Mathematics; 3, No.1 pp 97-108 http//ijmm.dixiewpublishing.com/
  11. Atinuke Adebanji, Thomas Achia, Richard N’getich, John Owino and Anne Wangombe (2008); Spatial Durbin Model for Poverty Mapping and Analysis; European Journal for Social Sciences; 5 No.4, pp 195-205.
  12. Shola Adeyemi and Atinuke Adebanji (June 2007); Moments of Order Statistics from Doubly Truncated BURR XII Distributions A complementary note with Applications; Journal of Statistical Research (ISRT), Bangladesh. Pp 37 – 50. http//www.ajol.info/viewissue.php?jid=219&ab=ijs&id=2609
  13. Shola Adeyemi and Atinuke Adebanji (2006); The Exponentiated Generalized Extreme Value Distribution, Journal of Applicable Functional Differential Equations (JAFDE), India, vol.1 no.1, pp. 89-95.
  14. Atinuke Adebanji and Joseph Iyaniwura (2004); Discriminant Analysis as a Technique for Classifying Nigerian Households into Poverty Levels; Journal of Nigeria Institute of Social and Economic Research - Research for Development 20 no. 1. Pp 24 – 46. http//www.niser.org/abstract.htm
  15. Shola Adeyemi and Atinuke Adebanji (2004); The Exponentiated Generalized Pareto Distribution; Ife Journal of Science vol.6 no.2, pp 127-133. http//www.ajol.info/viewissue.php?jid=219&ab=ijs&id=2609

Publications in Refereed Proceedings

 

  1. Atinuke Adebanji (2018); Statistical Models for Healthcare Intervention assessment, XXIXth International Biometric Conference, 8th of July, Barcelona Convention Centre, Barcelona, Spain.
  2. Atinuke Adebanji (2017); Statistical estimation of neonatal mortality risk. 5Th workshop on games and decisions in risk and reliability. GDRR 2017 at the Academy of sciences, Madrid, Spain, 7-9 June, 2017.
  3. Atinuke Adebanji and Harry Tagbor (2016); Spatial Analysis of under-5 malaria in Ghana (DHS 2008) for public health intervention evaluation. Proceedings of Women in Science and Technology for the Developing World Fifth General Assembly and International Conference, May 16-19, 2016, Kuwait.
  4. Philemon Baah  and  Atinuke  Adebanji  (2012);  7th International  Salford Analytics  and  Data   Mining  Conference,  San  Diego,  California,  United States from May 23-25, 2012.
  5. Abukari Alhassan and Atinuke Adebanji  (2011);  Discriminant Analysis as a tool for under five years anthropometric classification in Ghana; Biennial conference of  Sub-Saharan  Africa  Network  (SUSAN)  of  International  Biometric  Society,  2011 Conference;  Global  trends  in  quality  of  life  through  Biometry;  University   of  Botswana, Gaborone; conference proceedings; pp 85-94.
  6. Nicholas Titiloye, Ossie Afriyie and Atinuke Adebanji, Abstracts of the 6th Joint Meeting of the British Division of the International Academy of Pathology and the Pathological Society of Great Britain & Ireland, 10-13 May 2011, On-line Supplement to the Journal of Pathology, Volume 224, Issue S2, Pages S1–S39.
  7. Akinlawon Oludotun, Adebanji Atinuke and Asiribo Ebenezer (2009); Minimizing the Kurtosis Displayed by Financial Data using Conditional Distribution; Proceedings of 3rd International Conference on Science and National Development and the Theme is Relevance of Science In The Attainment of Vision 20/2020; pp 51-58.
  8. A.Akintunde, O.E.Asiribo, A.O.Adebanji, A.A.Adelakun and S.O.N. Agwuegbo (2009); Stochastic Modelling of Daily Precipitation in Abeokuta. Proceedings of 3rd International Conference on Science and National Development and the Theme is Relevance of Science In The Attainment of Vision 20/2020; pp 108 – 118.
  9. Atinuke Adebanji and Samuel Manda (2005); Asymptotic effect(s) of the Mahalanobis Distance on the performance of the Linear Discriminant Function (COLNAS 2004 Conference proceedings pp 52 - 62.
  10. Atinuke Adebanji and Sam Ofodile (2005); Body mass index (BMI) of the mother as nutritional status indicator for child age 0-5 years. Published in the proceedings of Third World Organization for Women in Sciences (TWOWS) International Conference pp 284 - 286 - Women’s Impact on Science and Technology in the New Millennium, Bangalore, India, 21-25 November 2005.
  11. Shola Adeyemi and Atinuke Adebanji (Dec 2005); Some recurrence relations for moments of order statistics from a generalized log-logistic distribution Proceedings of the International Conference in honour of Profs E. O. Oshodi and J. O. Amao, pp 13 – 19.
  12. Adebanji Atinuke and Sagary Nokoe (2004); Malnutrition in Nigerian Children (0-5years); Classification and Distribution (IBC 2004, Cairns (Australia) conference proceedings. http//www.ozaccom.com.au/cairns2004/contsess_fri.html
  13. Atinuke Adebanji (2003); The Quadratic Classifier for Household Poverty Classification; Biometry in Poverty Alleviation programmes, SUSAN 2003 conference proceedings. pp 56-59  http//www.tibs.org/WorkArea/downloadasset.aspx?id=636
  14. Adebanji Atinuke And Sagary Nokoe (2003); Evaluating the Quadratic Classifier; World scientific Publishing, Singapore, PP. 369-374. http//eproceedings.worldscinet.com/9789812702487/9789812702487_0020.html

  1. Owusu, L., Apprey, C., Diji, A. K. and Adebanji, A. (2021); Association between Iron supplementation and anaemia in pregnant women in Ghana; Nutrition and Food Science, Emerald, https://doi.org/1108/nfs-03-2021-0105
  2. Aidoo, E. N.,Eric N. Aidoo, Richard T. Ampofo, Gaston E. Awashie, Simon K. Appiah and  Atinuke O. Adebanji(2021); Modelling COVID?19 incidence in the African sub?region using smooth transition autoregressive model; Modeling Earth Systems and Environment, Springer; https://doi.org/10.1007/s40808-021-01136-1
  3. Adedia, D., Adebanji, A. O., and Appiah, S. K. (2021); Calculating Non Centrality parameter for power analysis under structural equation modelling: An alternative; Pakistan Journal of Statistics and Operation Research,Vol 17, No. 1, pp 273-289, http://dx.doi.org/10.18187/pjsor.v17i1.3148.
  4. Asosega, K., Adebanji, A.O., and Abdul Wahab, I., (2021); Spatial analysis of the prevalence of obesity and overweight among women in Ghana; BMJ Open, 11(1)e041659, DOI:10.1136/bmjopen-2020-041659.
  5. Aidoo, E. N, Adebanji, A. O., Awashie, G. E. and Appiah, S. K., (2021); The effects of weather on the spread of COVID-19: evidence from Ghana. Bulletin of the National Research Centre, SpringerOpen 45, 20, https://doi.org/10.1186/s42269-021-00484-3.
  6. Adedia, D., Adebanji, A. O., and Appiah, S. K. (2020); Comparative analysis of some structural equation model estimation methods with application to coronary heart disease risk. Journal of Probability and Statistics, pp :1-15.
  7. Wilhemina Adoma Pels, Atinuke Olusola Adebanji, Sampson Twumasi-Ankrah (2020); Comparison of Parameter Estimators for Generalized Pareto Distribution under Peak over Threshold. Mathematics and Statistics, 8(6), 711 - 720. DOI: 10.13189/ms.2020.080612.
  8. Paul Butakor, Qi Guo and Atinuke O. Adebanji (2020); Using structural equation modeling to examine the relationship between Ghanaian teachers' emotional intelligence, job satisfaction, professional identity, and work engagement; Psychology in the Schools, Wiley Online, https://doi.org/10.1002/pits.22462.
  9. David Adedia , Atinuke Adebanji and Simon Kojo Appiah (2020); Comparative Analysis of some Structural Equation Model Estimation methods with applications to Coronary Heart Disease Risk; HindawiJournal of Probability and Statistics, 2020, Article ID 4181426, 15 pages 2020 https://doi.org/10.1155/2020/4181426
  10. Emmanuel D. J. Owusu-Ansah,  Atinuke Adebanji and Eric Nimako-Aidoo (2020); Data Driven Modeling of Projected Mitigation and Suppressing Strategy Interventions for SARS-COV 2 in Ghana, Populations and Evolution (q-bio.PE); Applications (stat.AP), arXiv:2004.0900.
  11. Killian Asosega, David Adedia. and Atinuke Adebanji, (2020); Sensitivity Analysis of the Quadratic Discriminant Function for Predicting Pregnancy Outcomes. Journal of Scientific Research and Reports, 26(2), 60-69. https://doi.org/10.9734/jsrr/2020/v26i230225
  12. Ebenezer Kojo Ocran, Atinuke Adebanji and Solomon Sarpong, S (2019); Modelling domestic tourism demand for Ghana. Journal of Tourism, Hospitality and Sports, ISSN (Paper) 2312-5187, Vol. 40, pp 94-109.
  13. Ebenezer Kojo Ocran, Atinuke Adebanji and Solomon Sarpong, (2019);The impact of sociodemographic factors on domestic tourism expenditure in Ghana. Journal of Tourism, Hospitality and Sports, ISSN (Paper) Vol. 41, pp 35-45.
  14. Pels, W.A., Twumasi-Ankrah, S. and O. Adebanji (2019); Information Criterion for Selecting Competing Models using different Weighting Schemes. International Journal of Applied Mathematics and Statistics, 58(2), 54-63.

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