Παρακολούθηση
Joseph NZABANITA
Joseph NZABANITA
Associate Professor, University of Rwanda
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ur.ac.rw
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Παρατίθεται από
Παρατίθεται από
Έτος
The impact of total and renewable energy consumption on economic growth in lower and middle- and upper-middle-income groups: Evidence from CS-DL and CCEMG analysis
JP Namahoro, J Nzabanita, Q Wu
Energy 237, 121536, 2021
332021
Fraud detection using neural networks: A case study of income tax
BF Murorunkwere, O Tuyishimire, D Haughton, J Nzabanita
Future Internet 14 (6), 168, 2022
182022
Small area estimation under a multivariate linear model for repeated measures data
I Ngaruye, J Nzabanita, D Rosen, M Singull
Communications in Statistics-Theory and Methods 46 (21), 10835-10850, 2017
172017
Estimation of parameters in the extended growth curve model with a linearly structured covariance matrix
J Nzabanita, D von Rosen, M Singull
Acta et Commentationes Universitatis Tartuensis de Mathematica 16 (1), 13-32, 2012
122012
Early detection of students at risk of poor performance in Rwanda higher education using machine learning techniques
E Masabo, J Nzabanita, I Ngaruye, C Ruranga, JP Nizeyimana, ...
International Journal of Information Technology 15 (6), 3201-3210, 2023
92023
Comparison of Tree-Based Machine Learning Algorithms to Predict Reporting Behavior of Electronic Billing Machines
BF Murorunkwere, JF Ihirwe, I Kayijuka, J Nzabanita, D Haughton
Information 14, 140, 2023
92023
Maximum likelihood estimation in the tensor normal model with a structured mean
J Nzabanita, D Von Rosen, M Singull
Linköping University Electronic Press, 2015
82015
Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project): study …
A Nishimwe, C Ruranga, C Musanabaganwa, R Mugeni, M Semakula, ...
BMC Medical Informatics and Decision Making 22, 214, 2022
62022
Comparison of Machine Learning Algorithms for Predicting the Out of Pocket Medical Expenditures in Rwanda
R Muremyi, N François, K Ignace, N Joseph, D Haughton
Journal of Health and Medical Research 1 (1), 32-41, 2019
62019
Business success prediction in Rwanda: a comparison of tree-based models and logistic regression classifiers
F Kipkogei, IH Kabano, BF Murorunkwere, N Joseph
SN Business & Economics 1, 1-19, 2021
52021
Predicting tax fraud using supervised machine learning approach
BF Murorunkwere, D Haughton, J Nzabanita, F Kipkogei, I Kabano
African Journal of Science, Technology, Innovation and Development 15 (6 …, 2023
42023
Compartmental mathematical modelling of dynamic transmission of COVID-19 in Rwanda
L Mpinganzima, JM Ntaganda, W Banzi, JP Muhirwa, BK Nannyonga, ...
IJID regions 6, 99-107, 2023
42023
Extended GMANOVA model with a linearly structured covariance matrix
J Nzabanita, D Von Rosen, M Singull
Mathematical Methods of Statistics 24, 280-291, 2015
42015
Bilinear and trilinear regression models with structured covariance matrices
J Nzabanita
Linköping University Electronic Press, 2015
42015
Prediction of prevalence of type 2 diabetes in Rwanda using the metropolis-hasting sampling
A Dukunde, JM Ntaganda, J Kasozi, J Nzabanita
African Health Sciences 21 (2), 702-709, 2021
32021
Zeros of Gaussian power series with dependent random variables
S Mukeru, MP Mulaudzi, J Nzabanita, MM Mpanda
22020
Productivity and competitiveness of Rwandan agriculture: a case study of the maize sector
E Musabanganji, C Ruranga, J Nzabanita, F Nkikabahizi, I Ndizeye, ...
AGROFOR 4 (1), 2019
22019
Bilinear regression model with Kronecker and linear structures for the covariance matrix
J Nzabanita, D Von Rosen, M Singull
Afrika Statistika 10 (2), 827-837, 2015
12015
Estimation in Multivariate Linear Models with Linearly Structured Covariance Matrices
J Nzabanita
Linköping University Electronic Press, 2012
12012
Analysis of the COVID-19 pandemic in Rwanda using a stochastic model
D Ndanguza, JP Ngendahayo, A Uwimana, JD Niyigena, IS Mbalawata, ...
Mathematics Open 3, 2350013, 2024
2024
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