Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: K-2 rotated goodness-of-fit for multivariate data   Consider a set of multivariate distributions, $F_1,\dots,F_M$, aiming to
explain the same phenomenon. For instance, each $F_m$ may correspond to a
different candidate background model for calibration data, or to one of many
possible signal models we aim to validate on experimental data. In this
article, we show that tests for a wide class of apparently different models
$F_{m}$ can be mapped into a single test for a reference distribution $Q$. As a
result, valid inference for each $F_m$ can be obtained by simulating
\underline{only} the distribution of the test statistic under $Q$. Furthermore,
$Q$ can be chosen conveniently simple to substantially reduce the computational
time.

17
The categories of this paper are: q-fin
20
The categories of this paper are: acc-phys
14
The categories of this paper are: math-ph
29
The categories of this paper are: funct-an
26
The categories of this paper are: bayes-an
36
The categories of this paper are: cmp-lg
21
The categories of this paper are: adap-org
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ
28
The categories of this paper are: alg-geom
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
22
The categories of this paper are: chao-dyn
2
The categories of this paper are: math
13
The categories of this paper are: quant-ph
32
The categories of this paper are: atom-ph