How-To Geek on MSN

Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.

Understanding Hedonic Regression in Pricing Models

Learn how hedonic regression helps estimate factors affecting prices in real estate and consumer goods, aiding in precise ...

Data science roles in the industry

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...
The Motley Fool

What Is a Statistical Model? Overview and Example

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...
jnis.bmj

Statistical principles in neurointervention part 2. Multivariable analysis: generalized linear models, modification, confounding, and mediation

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...
Scientific Research Publishing

James, G., Witten, D., Hastie, T., Tibshirani, R., & Taylor, J. (2023). Linear Regression. In G. James, D. Witten, T. Hastie, R. Tibshirani, & J. Taylor (Eds.), An Introduction ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...
The New York Times

Bonds Beats the Babe! Statistical Model Crowns a New ‘Greatest’ in Baseball

A new ranking methodology places Barry Bonds over Babe Ruth as the game’s best player ever. Statisticians, at least, are cheering. By Alexander Nazaryan Every sport has its arguments over which player ...