Titlebook: Sustainable Statistical and Data Science Methods and Practices; Reports from LISA 20 O. Olawale Awe,Eric A. Vance Book 2023 The Editor(s) (

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Estimating Relative Response Rates and Preferential Ranking of Subjects,ct’s responses or scores and reflect the effect of such ties on the subject’s relative tanks are developed. Test statistics are proposed for determining any significant differences between subjects in their relative responses or performance rates and for pair-wise comparisons of these rates. The proposed method is illustrated with some data.

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Predicting the Nature of Terrorist Attacks in Nigeria Using Bayesian Neural Network Model, was considered under different activation functions and training sets. The results showed that hyperbolic tangent activation function outperformed the other activation functions better in predicting the important variables in terrorist attacks in Nigeria.

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Re-examining Inflation and Its Drivers in Nigeria: A Machine Learning Approach,in Nigeria. Moreover, the bureau de exchange rate, among other important variables, proves to be the most important driver across all models. Therefore, the paper recommends that policy makers should prioritize stabilizing the exchange rate (BCD in particular) in order to achieve price stability.

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Exploring Feature Selection and Supervised Classification Algorithms for Predicting Obesity Among Rhis study is to compare the performance of six major Machine Learning (ML) algorithms for predicting obesity using common risk factors among rural women in a Nigerian State. Participants were selected from two communities in Ekiti State, Nigeria. A standard questionnaire was administered to 145 rura

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Re-examining Inflation and Its Drivers in Nigeria: A Machine Learning Approach,lation have evolved. Most studies examining inflation have adopted traditional econometric and statistical methods such as regression, which assume stringent functional and stochastic processes in fitting data. This study seeks to advance the exploration of inflation drivers in using machine learnin

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Estimating Relative Response Rates and Preferential Ranking of Subjects,creening test or severity of a condition of interest. The proposed method easily enables one to estimate in the form of a spreadsheet the median and other tiles of the distribution of the screening test scores. Statistical methods that could be used to as much as possible break any ties in the subje