Non-parametric tests are used when standard assumptions are not available. These tests don’t rely on distributions, often ...

Sankhyā: The Indian Journal of Statistics, Series A (2008-), Vol. 75, No. 1 (February 2013), pp. 118-138 (21 pages) Let X, Y and Z be three independent random variables from three different ...

Multivariate statistical inference encompasses methods that evaluate multiple outcomes or parameters jointly, allowing researchers to understand complex interdependencies within data. Permutation ...

We provide novel, high-order accurate methods for non-parametric inference on quantile differences between two populations in both unconditional and conditional settings. These quantile differences ...

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 ...