Bootstrap and clustering techniques are foundational tools across scientific disciplines, playing a particularly important role in spatial analysis. However, traditional bootstrap methods often fall short in preserving spatial dependencies and complex attribute relationships during resampling....

In Cameroon, major inequalities exist in women's access to antenatal care (ANC), yet underlying circumstance drivers remain understudied. Using recently available Demographic and Health Survey data, we conducted multilevel model and spatial analyses to identify circumstance factors driving ANC...

Understanding the density of possible prices in one-minute intervals provides traders, investors, and financial institutions with the data necessary for making informed decisions, managing risk, optimizing trading strategies, and enhancing the overall efficiency of the cryptocurrency market....