Bibliography

Monography Chapter

Goodness-of-Fit Criteria Based on Observations Quantized by Hypothetical and Empirical Percentiles

: Handbook of Fitting Statistical Distributions with R, p. 1-56 , Eds: Karian Zaven A., Dudewicz Edward J.

: CEZ:AV0Z10750506

: Disparities, Power divergences, Empirical quantization, Asymptotic normality

: http://library.utia.cas.cz/separaty/2010/SI/vajda-goodness-of-fit criteria based on observations quantized by hypothetical and empirical percentiles.pdf

(eng): Goodness-of-fit disparity statistics are defined as appropriately scaled phi-disparities or phi-divergences of quantized hypothetical and empirical distributions. It is shown that the classical Pearson-type statistics are obtained if we quantize by means of hypothetical percentiles, and that new spacings-based disparity statistics are obtained if we quantize by means of empirical percentiles.

: BD