Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

Bayesian quantile regression and statistical modelling represent a growing paradigm in contemporary data analysis, extending conventional regression by estimating various conditional quantiles ...

Learn the 4 types of data analytics, the 7 key models, the top 10 best practices for data analytics in 2023 and more.

Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

Learning how to perform statistical data analysis in Microsoft Excel can help you improve your analytics and reporting. This guide takes you ...

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

Simulating a dc-dc converter in LTspice to model closed-loop voltage feedback. LTspice can be utilized to perform statistical tolerance analysis for complex circuits.

Liping Liu, Lining Jiang, Ding Zhang, An integrated model of statistical process control and condition-based maintenance for deteriorating systems, The Journal of the Operational Research Society, Vol ...