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Fraud Detection Using Neural Networks: A Case Study of Income Tax

Future internet, 2022-06, Vol.14 (6), p.168

2022

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Prediction of the Prevalence of Hypertension and Associated Risk Factors in Rwanda Using Gibbs Sampling Method

Diseases, 2023-06, Vol.11 (2), p.87

2023

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Comparison of Tree-Based Machine Learning Algorithms to Predict Reporting Behavior of Electronic Billing Machines

Information (Basel), 2023-03, Vol.14 (3), p.140

2023

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Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project): study design and rationale

BMC medical informatics and decision making, 2022-08, Vol.22 (1), p.1-214, Article 214

2022

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Child stunting prevalence determination at sector level in Rwanda using small area estimation

BMC nutrition, 2023-12, Vol.9 (1), p.147-147, Article 147

2023

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Assessment of the socioeconomic impact of COVID-19 in Rwanda: Findings from a country-wide community survey, preliminary analysis to inform further global research

Research in Globalization, 2024-06, Vol.8, p.100230, Article 100230

2024

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Zeros of Gaussian power series with dependent random variables

Illinois journal of mathematics, 2020-12, Vol.64 (4)

2020

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Predicting tax fraud using supervised machine learning approach

African journal of science, technology, innovation and development, 2023-09, Vol.15 (6), p.731-742

2023

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Business success prediction in Rwanda: a comparison of tree-based models and logistic regression classifiers

SN Business & Economics, 2021-08, Vol.1 (8), Article 101

2021

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Prediction of prevalence of type 2 diabetes in Rwanda using the metropolis-hasting sampling

African health sciences, 2021-06, Vol.21 (2), p.702-709

2021

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Small area estimation under a multivariate linear model for repeated measures data

Communications in statistics. Theory and methods, 2017-11, Vol.46 (21), p.10835-10850

2017

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Early detection of students at risk of poor performance in Rwanda higher education using machine learning techniques

International journal of information technology (Singapore. Online), 2023-08, Vol.15 (6), p.3201-3210

2023

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Estimation of Parameters in the Growth Curve Model with a Linearly Structured Covariance Matrix: A Simulation Study

International journal of scientific engineering and technology, 2017, Vol.6 (1), p.45

2017

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PRODUCTIVITY AND COMPETITIVENESS OF RWANDAN AGRICULTURE: A CASE STUDY OF THE MAIZE SECTOR

AGROFOR, 2019-10, Vol.4 (1)

2019

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Extended GMANOVA model with a linearly structured covariance matrix

Mathematical methods of statistics, 2015-10, Vol.24 (4), p.280-291

2015

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Bilinear and Trilinear Regression Models With Structured Covariance Matrices

Nzabanita, Joseph

2015

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ProQuest

Estimation in Multivariate Linear Models With Linearly Structured Covariance Matrices

Nzabanita, Joseph

2012

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ProQuest

Growth curve model for analyzing the effects of Calcium foliar feed on the wilting rate of post-harvest rose flowers

African Journal of Applied Statistics, 2021-07, Vol.8 (2), p.1181-1197

2021

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Growth curve model for analyzing the effects of Calcium foliar feed on the wilting rate of post-harvest rose flowers

African Journal of Applied Statistics, 2021-01, Vol.8 (1), p.1147-1164

2021

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Growth curve model for analyzing the effects of Calcium foliar feed on the wilting rate of post-harvest rose flowers

African Journal of Applied Statistics, 2021-01, Vol.8 (1), p.1547-1563

2021

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Estimation of parameters in the extended growth curve model with a linearly structured covariance matrix

Acta et commentationes Universitatis Tartuensis de mathematica, 2012, Vol.16 (1), p.13-32

2012

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Space Decomposition and Estimation in Multivariate Linear Models

Recent Developments in Multivariate and Random Matrix Analysis, 2020, p.267-286

2020

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Bilinear regression model with Kronecker and linear structures for the covariance matrix

Afrika statistika, 2015, Vol.10 (2), p.837-827

2015

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Fraud Detection Using Neural Networks: A Case Study of Income Tax

Prediction of the Prevalence of Hypertension and Associated Risk Factors in Rwanda Using Gibbs Sampling Method

Comparison of Tree-Based Machine Learning Algorithms to Predict Reporting Behavior of Electronic Billing Machines

Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project): study design and rationale

Child stunting prevalence determination at sector level in Rwanda using small area estimation

Assessment of the socioeconomic impact of COVID-19 in Rwanda: Findings from a country-wide community survey, preliminary analysis to inform further global research

Zeros of Gaussian power series with dependent random variables

Predicting tax fraud using supervised machine learning approach

Business success prediction in Rwanda: a comparison of tree-based models and logistic regression classifiers

Prediction of prevalence of type 2 diabetes in Rwanda using the metropolis-hasting sampling

Small area estimation under a multivariate linear model for repeated measures data

Early detection of students at risk of poor performance in Rwanda higher education using machine learning techniques

Estimation of Parameters in the Growth Curve Model with a Linearly Structured Covariance Matrix: A Simulation Study

PRODUCTIVITY AND COMPETITIVENESS OF RWANDAN AGRICULTURE: A CASE STUDY OF THE MAIZE SECTOR

Compartmental mathematical modelling of dynamic transmission of COVID-19 in Rwanda

Extended GMANOVA model with a linearly structured covariance matrix

Compartmental Mathematical Modelling of Dynamic Transmissions of COVID-19 in Rwanda

Bilinear and Trilinear Regression Models With Structured Covariance Matrices

Estimation in Multivariate Linear Models With Linearly Structured Covariance Matrices

Growth curve model for analyzing the effects of Calcium foliar feed on the wilting rate of post-harvest rose flowers

Growth curve model for analyzing the effects of Calcium foliar feed on the wilting rate of post-harvest rose flowers

Growth curve model for analyzing the effects of Calcium foliar feed on the wilting rate of post-harvest rose flowers

Estimation of parameters in the extended growth curve model with a linearly structured covariance matrix

Space Decomposition and Estimation in Multivariate Linear Models

Bilinear regression model with Kronecker and linear structures for the covariance matrix

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