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

Vajda Igor



Název
Goodness-of-Fit Criteria Based on Observations Quantized by Hypothetical and Empirical Percentiles
Autor
lupa Vajda Igor UTIA-B - Ústav teorie informace a automatizace AV ČR, v. v. i.
Spoluautoři
lupa van der Meulen E.
Zdroj.dok.
lupa Handbook of Fitting Statistical Distributions with R. S. 1-56. - Boca Raton : CRC Press, 2010 / Karian Zaven A. ; Dudewicz Edward J.
Vyd.údaje
56 s.
Druh dok.
M
Jazyk dok.
eng
Země vyd.
US
Klíč.slova
Disparities * Power divergences * Empirical quantization * Asymptotic normality
URL
http://library.utia.cas.cz/separaty/2010/SI/vajda-goodness-of-fit criteria based on observations quantized by hypothetical and empirical percentiles.pdf
Databáze
zm - Část monografie
URL
http://library.utia.cas.cz/separaty/2010/SI/vajda-goodness-of-fit criteria based on observations quantized by hypothetical and empirical percentiles.pdf http://library.utia.cas.cz/separaty/2010/SI/vajda-goodness-of-fit criteria based on observations quantized by hypothetical and empirical percentiles.pdf
Trvalý link
http://hdl.handle.net/11104/0191047