The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

We propose using the local kernel regression method to estimate the conditional mean function of a panel count model with time-varying coefficients. A partial log-likelihood with a local polynomial is ...

Learn how ARIMA models use time series data for accurate short-term forecasting. Discover its pros, cons, and essential tips ...

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 ...

Before building my model, I want to step back to offer an easy-to-understand definition of linear regression and why it’s vital to analyzing data. What is linear regression?

Enhance your skills in energy statistical analysis with our expanded three-day workshop. Dive deep into crucial topics like risk quantification and pricing models using practical exercises in Excel.

Learn how to perform regression analysis of your data in Microsoft Excel, a statistical process that helps you understand the relationship ...