| Distribution of the elemental regression weights with t-distributed co-variate measurement errors I Seidu, E Nyarko, S Iddi, E Ranganai, K Doku-Amponsah |
2023 |
arXiv preprint arXiv:2312.07704, 2023 |
Natural Sciences |
0 |
| Error assessment of applying foreign life table in Ghana IK Baidoo, K Doku-Amponsah, EK Aidoo, FO Mettle |
2021 |
Science and Development 4 (2), 45-50, 2021 |
Natural Sciences |
0 |
| Estimation of Extreme Value Index using Regression-based Approach K Doku-Amponsah |
2021 |
— |
Natural Sciences |
0 |
| Large Large deviations for spatial telecommunication systems: The boolean model AK Boahen, T Katsekpor, K Doku-Amponsah |
2021 |
arXiv preprint arXiv:2108.11820, 2021 |
Engineering |
0 |
| Research Article Evaluation of the DWT-PCA/SVD Recognition Algorithm on Reconstructed Frontal Face Images L Asiedu, BO Essah, S Iddi, K Doku-Amponsah, FO Mettle |
2021 |
— |
Engineering |
0 |
| Research Article Modeling the Amount of Waste Generated by Households in the Greater Accra Region Using Artificial Neural Networks C Chapman-Wardy, L Asiedu, K Doku-Amponsah, FO Mettle |
2021 |
— |
Natural Sciences |
0 |
| Large deviations, asymptotic bounds on the number of positive individuals in a Bernoulli sample via the number of positive pool samples drawn on the bernoulli sample K Doku-Amponsah |
2020 |
arXiv preprint arXiv:2008.02151, 2020 |
Natural Sciences |
0 |
| GENERALISED BERNOULLI MODEL FOR CORRELATED BINARY RESPONSES: APPLICATION TO THE NATIONAL INCOME DYNAMICS STUDY (NIDS) DATASETS. M Fleku, ENN Nortey, A Lotsi, K Doku-Amponsah |
2019 |
South East Asian Journal of Mathematics & Mathematical Sciences 15 (1), 71, 2019 |
Natural Sciences |
0 |
| Local Large Deviation Principle, Large Deviation Principle for the Signal-to-Interference and Noise Ratio Graph Models K Doku-Amponsah |
2019 |
— |
Natural Sciences |
0 |
| Local Large Deviation Principle, Large Deviation Principle for the Signal-to-Interference and Noise Ratio Graph Models. E Sakyi-Yeboah, K Doku-Amponsah |
2019 |
arXiv preprint arXiv:1909.04529, 2019 |
Natural Sciences |
0 |
| JOINT LARGE DEVIATION RESULT FOR EMPIRICAL MEASURES OF THE COLOURED RANDOM GEOMETRIC GRAPH K Doku-Amponsah |
2018 |
— |
Natural Sciences |
0 |
| Large deviations for evolutionary processes on random networks with applications K Doku-Amponsah |
2018 |
— |
Natural Sciences |
0 |
| Modelling Ghana Stock Exchange Index with Stable Distributions G Kallah-Dagadu, ENN Nortey, K Doku-Amponsah |
2018 |
Science and Development Journal 2 (2), 1-10, 2018 |
Natural Sciences |
0 |
| Joint Large Deviation principle for empirical measures of the d-regular random graphs U Ibrahim, A Lotsi, K Doku-Amponsah |
2017 |
arXiv preprint arXiv:1711.05028, 2017 |
Natural Sciences |
0 |
| Local Large deviations for empirical locality measure of typed Random Graph Models K Doku-Amponsah |
2017 |
arXiv preprint arXiv:1708.03895, 2017 |
Natural Sciences |
0 |
| LOSSY ASYMPTOTIC EQUIPARTITION PROPERTY FOR WIRELESS SENSOR NETWORKS K Doku-Amponsah |
2017 |
arXiv preprint arXiv:1704.00243, 2017 |
Natural Sciences |
0 |
| Portfolio Optimization Using Minimum Variance Line Approach: A Case Study of the Social Security and National Insurance Trust N Nkum, A Lotsi, C Chapman-Wardy, K Doku-Amponsah |
2017 |
Ghana Social Science Journal, 2017 |
Social Sciences |
0 |
| APPLICATION OF THE HYPERGEOMETRIC MODEL IN ELECTORAL DISPUTES SETTLEMENT NH Somaayin, K Tibie, K Doku-Amponsah |
2016 |
GHANA SOCIAL SCIENCE 13 (2), 175, 2016 |
Social Sciences |
0 |
| Coloured Random Graphs, Simple Random Allocation of Coloured Balls into Coloured Bins K Doku-Amponsah |
2016 |
— |
Natural Sciences |
0 |
| Paired Comparison Choice Data Approach in Addressing the Issue of Teacher Force Recruitment in Ghana E Nyarko, IK Baidoo, K Doku-Amponsah |
2016 |
British Journal of Education, Society & Behavioural Science 18 (2), 1-8, 2016 |
Social Sciences |
0 |
| Statistical model for overdispersed count outcome with many zeros: an approach for direct marginal inference K Doku-Amponsah |
2015 |
— |
Natural Sciences |
0 |
| Large deviation principle for the empirical degree measure of preferential attachment random graphs K Doku-Amponsah, FO Mettle, ENN Nortey |
2014 |
arXiv preprint arXiv:1404.1205, 2014 |
Natural Sciences |
0 |
| A BASIC INFORMATION THEORY FOR FITNESS PREFERENTIAL ATTACHMENT RANDOM NETWORKS VIA LARGE DEVIATIONS K Doku-Amponsah |
2013 |
arXiv preprint arXiv:1312.1053, 2013 |
Natural Sciences |
0 |
| LARGE DEVIATION RESULTS FOR NEAR INTERMEDIATE RANDOM GEOMETRIC GRAPHS K Doku-Amponsah |
2013 |
arXiv preprint arXiv:1312.6326, 2013 |
Natural Sciences |
0 |
| Asymptotics of the partition function of Ising model on inhomogeneous random graphs K Doku-Amponsah |
2012 |
arXiv preprint arXiv:1203.5823, 2012 |
Natural Sciences |
0 |
