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

Whenever inference for variance components is required, the choice between one-sided and two-sided tests is crucial. This choice is usually driven by whether or not negative variance components are ...

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 ...

This paper reviews methodological issues if non-probability data are used to compile official statistics. Two different research lines can be identified to use non-probabilty data sources in the ...