Hypothesis testing is a procedure for evaluating the strength of a hypothesis. The methodology depends on the data and the reason for the analysis.

Hypothesis testing allows for testing an idea regarding a parameter of interest in a particular population set, using information that has been measured in a sample set.

The encompassing principle is used to develop a testing framework which unifies the literature on non-nested testing, allowing analysis of the relationship between alternative tests and in particular ...

Hypothesis Testing During validation, as well as during ongoing production testing, samples are used to make inferences and, ultimately, decisions about a larger population. The first step in such an ...

Specialization: Data Science Foundations: Statistical InferenceInstructor: Dr. Jem Corcoran, Associate Professor in Applied MathematicsPrior knowledge ...

However, most clustering algorithms assume knowledge of the number of clusters k. We propose to determine k automatically in a graph generated from a stochastic block model by using a hypothesis test ...