Simple linear regression is commonly used in forecasting and financial analysis—for a company to tell how a change in the GDP could affect sales, for example.

Key Points Trend analysis is a method of using data to spot patterns for the sake of forecasting future events. There are ...

It’s widely accepted today that the phrase “big data” implies more than just storing more data. It also means doing more with data. There are arguably too many terms that we use to describe the ...

Specialization: Statistical Modeling for Data Science Applications Instructor: Brian Zaharatos, Director, Professional Master’s Degree in Applied Mathematics Prior knowledge needed: Basic calculus ...

One of the most important types of data analysis is called regression analysis. Read more on Analytics and data science or related topic Data management.

Panel count data are commonly encountered in analysis of recurrent events where the exact event times are unobserved. To accommodate the potential non-linear covariate effect, we consider a ...

The Data and Predictive Analytics Center (DPAC) creates and applies new, cutting-edge techniques to collect, transform, model, and visualize data. Analysis techniques are drawn from mathematics and ...

Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.

Abstract. A Cox-type regression model for the ratio between the mortality in a cohort and that in a reference population is introduced. By means of the model it is possible to include in the survival ...