December 4, 2025EntropyOpen Access

Non-Parametric Goodness-of-Fit Tests Using Tsallis Entropy Measures

View Full Paper

Ask AI

Bookmark

Authors

Discussion

Non-parametric tests exhibit enhanced power with Tsallis entropy in model calibration, suggesting improved measurement accuracy.

The goodness-of-fit tests demonstrate significant power, enhancing the accuracy of statistical measurements.
The k-nearest-neighbor estimator consistently achieves mean-square convergence under specific assumptions.
This analysis utilizes Monte Carlo experiments to evaluate the empirical size and runtime across multiple dimensions.
The findings underscore the importance of calibration for effective model fitting, particularly in high-dimensional spaces.

Mehmet Sıddık Çadirci (2025) studied this question.

View Full Paper

Ask AI

Bookmark