Outliers may provide useful information about the development and manufacturing process. Analysts use various statistical methods to evaluate outliers and to reduce their impact on the analysis. This ...

Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. The application of statistical methods extracts information from ...

As a data scientist, I have a handful of books that serve as important resources for my work in the field – “Statistical Learning with Sparsity – The Lasso and Generalizations” by Trevor Hastie, ...

The sequential probability ratio tests (SPRT's) for the correlation coefficient, ρ, of a bivariate normal distribution proposed by Kowalski [3] and Pradhan and Sathe [4] reduce to SPRT's of a binomial ...

Neural networks have revolutionised the landscape of machine learning, yielding unprecedented performance in complex tasks ranging from image recognition to natural language processing. At the heart ...