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Abstract

Robustness of Spacing-based Power Divergence Statistics

Boček Pavel

: Abstracts of Contributions to 7th International Workshop on Data - Algorithms - Decision Making, p. 23-23 , Eds: Janžura M., Ivánek J.

: 7th International Workshop on Data - Algorithms - Decision Making, (Mariánská, CZ, 27.11.2011-29.11.2011)

: CEZ:AV0Z10750506

: 1M0572, GA MŠk, GAP202/10/0618, GA ČR

: alpha-divergence, goodness-of-fit

: http://library.utia.cas.cz/separaty/2011/SI/bocek-robustness of spacing-based power divergence statistics.pdf

(eng): The robustness of spacing-based power divergence statistics, based on the asymptotic results introduced in 2010, are studied. The generated data, with normal distribution and contamination from 5 to 40 percent, are used for the computation of the statistics for selected representative orders of alpha greater -1/2. Rejection of hypothesis H0 was used as criterion for robustness. New version of program package PODISTAT was developed for the computation of the simulation study.

: BD

07.01.2019 - 08:39