Statistical inference in the context of censored data and competing risks represents a crucial area in reliability engineering, biomedical research, and numerous safety-critical applications. This ...

The analysis of correlated binary data is pivotal in many fields, particularly in clinical research where paired organ measurements (for example, eyes or ears) inherently exhibit dependency.

This article resulted from our participation in the session on the “role of expert opinion and judgment in statistical inference” at the October 2017 ASA Symposium on Statistical Inference. We present ...

If program staff suspects you may have used AI tools to complete assignments in ways not explicitly authorized or suspect other violations of the honor code, they will contact you via email. Be sure ...

This course is compulsory on the MSc in Statistics, MSc in Statistics (Financial Statistics), MSc in Statistics (Financial Statistics) (Research), MSc in Statistics (Research), MSc in Statistics ...

The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...

The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. It's easy to forget that beneath the surface of every smart ...

When you use the statistical analysis features in Excel, you are leveraging one of the most powerful tools available for data manipulation and interpretation. Excel is not just a spreadsheet ...