Inferential statistics

RSG works to identify accurate statistical representations for our clients’ needs. Turning raw data into decision making requires knowledgeable people, like our statisticians and analysts, who are skilled at reading and unpacking complex datasets. RSG develops structured experimental research designs, sampling plans, hypothesis testing, and parameter estimation through model fitting. We support both Frequentist (Classical) and Bayesian techniques across all of RSG’s core models and analyses. This is often coupled with our in-depth work in discrete choice modeling. We take our analyses one step further to communicate to our clients the key takeaways through the use of meaningful infographics and clear explanations that are easily incorporated into practical recommendations.

Large Informatics Framework for Vehicle Emissions Monitoring

RSG’s data and software teams designed and created a large and scalable informatics platform for extracting, transferring, and loading a vehicle emissions monitoring data

Read More

The Effects of the Built Environment on Physical Activity

Do the characteristics of a person’s community directly influence their health status and levels of physical activity? With funding from the National Institutes of

Read More

A Spatial and Statistical Modeling Framework for Transportation Data Products

RSG partnered with a major mapping firm to develop a suite of proprietary models and technologies for their new line of transportation-based data products.

Read More

Housing Choice Voucher Admin Fee Study

In partnership with Abt Associates, RSG completed a multi-year research effort for the U.S. Department of Housing and Urban Development’s Office of Policy Development

Read More

Sampling and Statistical Design: Washington State Seatbelt Compliance Study

In response to the National Highway Traffic Safety Administration (NHTSA) release of new Uniform Criteria for State Observational Surveys of Seatbelt Use, Washington Traffic

Read More