Distributed hypothesis testing (DHT) and source coding are interrelated domains that address the challenges of reliable communication and decision-making in networked systems. In DHT, multiple nodes ...

We propose new tests of the martingale hypothesis based on generalized versions of the Kolmogorov-Smirnov and Cramér-von Mises tests. The tests are distribution-free and allow for a weak drift in the ...

For any probability model $M\equiv \{p(x|\theta,\omega),\theta \in \Theta,\omega \in \Omega \}$ assumed to describe the probabilistic behaviour of data x∈ X, it is ...

In the realm of technical product development, hypothesis testing acts as a bridge between design, data and decision-making. It enables teams to move beyond assumptions and validate their ideas ...

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program: Define a composite hypothesis and the level of significance for a test with ...

In Hypothesis Testing 1, 2 and 3, you have used normal and t-distributions to test hypotheses. Chi-Square tests use the Chi-Square probability distribution. You will be introduced to the use of that ...

Gating indicators recommended by CDC for phased reopening following COVID-19 shutdowns include “sustained decreases” or a “downward trajectory…over a 14-day period” in public health statistics. These ...