Photo by tamiminaser from unsplash
In this paper we deal with the problem of testing for the equality of $k$ probability distributions defined on $(\mathcal{X},\mathcal{B})$, where $\mathcal{X}$ is a metric space and $\mathcal{B}$ is the… Click to show full abstract
In this paper we deal with the problem of testing for the equality of $k$ probability distributions defined on $(\mathcal{X},\mathcal{B})$, where $\mathcal{X}$ is a metric space and $\mathcal{B}$ is the corresponding Borel $\sigma$-field. We introduce a test statistic based on reproducing kernel Hilbert space embeddings and derive its asymptotic distribution under the null hypothesis. Simulations show that the introduced procedure outperforms known methods.
Keywords:
kernel based;
method sample;
based method;
sample problem;
problem functional;
problem
Journal Title: Communications in Statistics - Theory and Methods
Year Published: 2020
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!
Journal Title: Communications in Statistics - Theory and Methods
Year Published: 2020
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!