Statistical fractal analysis in testing the Hypotheses with imprecise data

Autor: D. Kalpanapriya, N. Shobana Devi, M. Mubashir Unnissa, Dowlath Fathima
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: MethodsX, Vol 13, Iss , Pp 102945- (2024)
Druh dokumentu: article
ISSN: 2215-0161
DOI: 10.1016/j.mex.2024.102945
Popis: A new statistical hypothesis testing procedure using fractal analysis, incorporating the concept of lacunarity for interval population parameters when the sample data are real intervals, is introduced. The decision rules for accepting or rejecting the null and alternative hypotheses are provided, along with testing procedures and numerical examples. Additionally, the proposed tests are extended to statistical hypotheses involving fuzzy data samples with lacunarity.
Databáze: Directory of Open Access Journals