Modern statistical modelling is increasingly focused on reducing bias and enhancing the accuracy of parameter estimates. Traditional maximum likelihood estimation, while powerful, can encounter ...

“In a manufacturing environment, your amplifier design doesn't have a performance: it only has performance statistics.” We design a more manufacturable product We eliminate (or at least reduce) the ...

ABSTRACT A generalized method is presented to derive a ‘‘two scale’’ raindrop size distribution (DSD) model over a spatial or temporal domain in which a statistical rain parameter relation exists. The ...

Introduces exploratory data analysis, probability theory, statistical inference, and data modeling. Topics include discrete and continuous probability distributions, expectation, laws of large numbers ...