A semi-parametric generalization of the proportional hazards regression model is defined, whereby the hazard functions can cross for different values of the covariates. In the two-sample comparison, ...

This paper proposes consistent testing methods for examining the effect of a policy treatment on the whole distribution of a response outcome within the setting of a regression discontinuity design.

Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...

Many compilation cycles are needed throughout the course of developing an FPGA design. As an IP vendor, it is imperative that changes to an IP core will not break the entire circuit. As a circuit ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...