African Journal of Applied Statistics

Publisher: Statistics and Probability African Society

The African Journal of Applied Statistics (AJAS) publishes original articles on applied sciences, preferably using African data and supporting African development.

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Mathematical prediction of the Jatropha curcas L. plant yield: comparing Multiple Linear Regression and Artificial Neural Network Multilayer Perceptron models

(2020)

Corrective Measures in Linear Regression Model Plagued with Heteroscedasticity: A Monte Carlo Approach

Oluwayemisi Oyeronke ALABA, et al. (2019)

On Extreme Value Index Estimation under Random Censoring

Richard MINKAH, et al. (2018)

Classification of the Gambian Online Newspapers by keywords : an unsupervized study and Data Streaming Platform

Gane Samb LO, et al. (2018)

Investigating Predictors of Inflation in Nigeria: BMA and WALS Techniques

Mohammed Musa TUMALA, et al. (2018)

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Mathematical prediction of the Jatropha curcas L. plant yield: comparing Multiple Linear Regression and Artificial Neural Network Multilayer Perceptron models

Corrective Measures in Linear Regression Model Plagued with Heteroscedasticity: A Monte Carlo Approach

On Extreme Value Index Estimation under Random Censoring

Classification of the Gambian Online Newspapers by keywords : an unsupervized study and Data Streaming Platform

Investigating Predictors of Inflation in Nigeria: BMA and WALS Techniques

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