For more than half a century, data analysts have used graphs to represent statistical models. In particular, graphical "conditional independence" models have emerged as a useful class of models.

Statistical modeling lies at the heart of data science. Well-crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In ...

This report is a study of statistical models and methods for analyzing nonstandard mixtures of distributions in auditing. It was prepared by the Committee on Applied and Theoretical Statistics of the ...

In the process of business development planning for units, the demand for precise and comprehensive data support is becoming increasingly urgent. Beijing's Runquan Intelligent Data Collaborative ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

Data Analysis and Statistical Modeling Through our professional statisticians and statistically strong graduate students, we are qualified to provide you with consultation and guidance.

Characterization requires statistical SPICE models that have to come from the foundry, so the designers must have a willing foundry partner that wants to provide that data, explained Ruben Molina, ...