Discover how event studies assess the impact of significant events on stock values and enhance investment strategies through empirical analysis techniques.

Logistic regression is a statistical method used to model binary outcome variables, such as whether a patient recovers or not, using a set of predictors. There are many competing methods for ...

Dr. Scott Simpson, professor of Chemistry and chair of the Department of Chemistry, is a co-author of a newly accepted paper in the Journal of Chemical Information and Modeling that could help ...

Milestone articles have highlighted the frequency and types of statistical errors in research,1–5 yet fundamental errors persist across various disciplines. With a background in biostatistics and over ...

The following is a summary of a story that originally appears on the Trinity College of Arts & Sciences website. As a new assistant professor in Duke’s Department of Statistical Science, Lasse ...

An interdisciplinary team of University of Tennessee, Knoxville researchers recently published in Biophysical Journal on their development of a new statistical method that improves analysis in ...

Notes Credit not given for more than one of STAT 1410 or 2430; Asynchronous online Section Description Basic Statistical Methods provides an introduction to basic statistical concepts and methods, ...

Imagine that you’re a scientist, and among many possible model processes that might have produced a particular set of data, how do you choose the best model? In studying everything from climate change ...

Abstract: The purpose of this methods and concepts tutorial is to present the homodyned K-distribution (HKD) statistical modeling of the echo envelope of received radio frequency (RF) signals in the ...