Abstract: We design statistical hypothesis tests for performing leak detection in water pipeline channels. By applying an appropriate model for signal propagation, we show that the detection problem ...

Google is expanding access to incrementality testing, rolling out major updates designed to help advertisers of all sizes measure the true, causal impact of their ads – what’s driving results and what ...

Abstract: This work presents a lightweight statistical method for detecting nonstationarities in motor current signals, aiming to improve the diagnosis of transient events such as sudden load changes ...

ABSTRACT: We present here an alternative definition of the P-value for statistical hypothesis test of a real-valued parameter for a continuous random variable X. Our ...

In online A/B testing, we often face a significant practical challenge: the randomization unit differs from the analysis unit. Typically, control and treatment groups are randomly assigned at the user ...

Department of Pathology, University of British Columbia, Vancouver, British Columbia V6T 1Z7, Canada Michael Cuccione Childhood Cancer Research Program, BC Children’s Hospital Research Institute, ...

No matter how random you think you can be, you’re not nearly as good as you expect. A new book shows us how we inherently fall into patterns, and how that knowledge can help you outwit others.No ...

Statistical significance as results for hypothesis testing outline diagram. Labeled educational scheme with significant data and random noise comparison to understand research vector illustration.