Correctly analyze and apply tools of regression analysis to model relationship between variables and make predictions given a set of input variables Successfully conduct experiments based on best ...

A pricing model based on a stock's past performance may be used to predict movements within the selected time range. It may break down when faced with later events. As a standard, statistical ...

Theoretical econometricians investigate the properties of existing statistical tests and procedures for estimating unknowns in the model. They also seek to develop new statistical procedures that are ...

Big data has gotten too big. Now, a research team with statisticians from Cornell has developed a data representation method inspired by quantum mechanics that handles large data sets more efficiently ...

Yaorusheng / Getty Images An automated valuation model (AVM) is a real estate appraisal approach that uses statistical modeling techniques and software to value properties. What Is an Automated ...

Statistical physics is a branch of physics that uses probability theory and statistics to solve physical problems that usually involve systems composed of a large number of units. Its main purpose ...

Sampling theory contains situations in which estimates can be improved by using explicit models. For example, if the sample design is unknown, or a sample results in only few observations per ...

This work focuses on combining observations from field experiments with detailed computer simulations of a physical process to carry out statistical inference. Of particular interest here is ...

The University of Alabama at Birmingham Spinal Cord Injury Model System (UAB-SCIMS) maintains this Information Network as a resource to promote knowledge in the areas of research, health and quality ...