New scenarios in diabetes treatment have been opened in the last ten years by continuous glucose monitoring (CGM) sensors. In particular, Non-Invasive CGM sensors are particularly appealing, even ...

5 Alternative methods Besides trimming and winsorizing, there are other methods to deal with outliers in regression, such as transforming the data, using robust estimators, or adding dummy variables.

According to a new study Creatinine emerged as the most significant factor linked to hyperuricemia in breast cancer patients. It was independently associated with the condition and ...

Vertical and horizontal relative peripheral refraction (RPR) are associated with faster axial length progression and higher ...

Star 0 Code Issues Pull requests multivariate-distributions multivariate-data multivariate-testing multivariate-regression multivariate-polynomials multivariate-analysis multivariate-statistics ...

The constrained optimization problem is first reduced to a multivariate linear regression via constraint elimination. As a major contribution of this paper, a coordinate descent algorithm (CDA) is ...

With another play-calling change, Baker Mayfield's third season with the Tampa Bay Buccaneers could be an issue.

The demo creates a linear support vector regression model, evaluates the model accuracy on the training and test data, and then uses the model to predict the target y value for x = [-0.1660, 0.4406, ...

clustering classification multivariate-analysis correspondence-analysis forward-search mahalanobis-distance m-estimation visualization-tools robust-regression robust-estimation robust-statistics ...

Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic! Donald Trump issues warning to AOC after impeachment push Food Network announces Anne ...