These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

The federal statistical system is facing “unprecedented strain, uncertainty and transformation” in the face of staffing losses, funding pressures and threats to statistical integrity, according to a ...

Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...

Abstract: The problem of statistical inference in its various forms has been the subject of decades-long extensive research. Most of the effort has been focused on characterizing the behavior as a ...

Following the resumption of normal activity post-COVID, small states have been on a path to economic recovery, largely sustained by a rebound in tourism, which in many small states has reached ...

Copyright: © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Frequentist and Bayesian ...

The purpose of this course is to introduce students to using the R statistical software to perform basic to intermediate statistical data analysis in a replicable manner. The course will cover the ...