English

The smoothness test for a density function

Statistics Theory 2018-09-11 v1 Statistics Theory

Abstract

The problem of testing hypothesis that a density function has no more than μ\mu derivatives versus it has more than μ\mu derivatives is considered. For a solution, the L2L^2 norms of wavelet orthogonal projections on some orthogonal "differences" of spaces from a multiresolution analysis is used. For the construction of the smoothness test an asymptotic distribution of a smoothness estimator is used. To analyze that asymptotic distribution, a new technique of enrichment procedure is proposed. The finite sample behaviour of the smoothness test is demonstrated in a numerical experiment in case of determination if a density function is continues or discontinues.

Keywords

Cite

@article{arxiv.1809.02691,
  title  = {The smoothness test for a density function},
  author = {Bogdan Ćmiel and Karol Dziedziul and Barbara Wolnik},
  journal= {arXiv preprint arXiv:1809.02691},
  year   = {2018}
}
R2 v1 2026-06-23T03:58:34.980Z