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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

A. Taiwo

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Open access Sep 2026

Multi-Cyclic Persistence and Trend Structure of Atlantic and Pacific Climate Teleconnection Indices (AMO, ENSO/ONI, NAO), 1994-2022: Implications for Rainfall Variability in Nigeria

Rainfall variability across Nigeria is influenced by large-scale Atlantic and Pacific climate teleconnections, including the Atlantic Multidecadal Oscillation (AMO), El Niño-Southern Oscillation (ENSO), and North Atlantic Oscillation (NAO). Although rainfall–teleconnection relationships are well documented in West Afri...

Adensile Ridwan Raheem, A. Taiwo, T. Olatayo et al. · 0 citations
Open access Sep 2026

Development of Cook’s Distance and DFFITs Measures Based on Robust-M Kibria–Lukman Estimator for Detecting Influential Observations

Identifying influential observations is crucial in regression analysis because such points can distort parameter estimates, prediction accuracy, and overall statistical inference. Traditional diagnostics such as Cook’s Distance and DFFITs, developed under the Ordinary Least Squares (OLS) framework, perform poorly when...

G. Oluwarohunbi, T. Olatayo, A. Taiwo · 0 citations
Open access Sep 2026

Bayesian Analysis of Seasonal and Periodic Time Series: Evidence from Nigerian Monthly Rainfall, 1981–2024

Monthly rainfall in Nigeria exhibits pronounced annual seasonality, season-dependent variability, and changes in temporal dependence that may not be adequately represented by a single fixed-parameter model. This study presents a Bayesian modelling framework for monthly rainfall records from 37 Nigerian Meteorological A...

Augustine Yomi Oyenuga, T. Olatayo, A. Taiwo et al. · 0 citations
Open access Sep 2026

A New Robust LQS-NTP Estimator for Mitigating Correlated Endogenous Variables and Extreme Observations in Linear Regression Models: Theoretical Development and Applications

This study proposes a Robust Least Quantile of Squares–New Two-Parameter (LQS-NTP) estimator for addressing multicollinearity and extreme observations in linear regression models. The proposed estimator combines the high-breakdown robustness of the Least Quantile of Squares (LQS) method with the shrinkage properties of...

Adewale Abdulahi Titilola, T. Olatayo, A. Taiwo · 0 citations
Open access Sep 2026

Generalized Cook’s Distance and DFFITs for the New Biased-Based Estimator in the Presence of Multicollinearity and Outliers

Regression analysis is a powerful tool for modeling relationships between variables, but its reliability hinges on meeting key assumptions of the classical linear regression model. When multicollinearity and outliers are simultaneously present, traditional estimation techniques such as Ordinary Least Squares (OLS) beco...

Olanrewaju O. Oladiran, T. Olatayo, A. Taiwo · 0 citations

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