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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F10%3A00351256" target="_blank" >RIV/67985556:_____/10:00351256 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

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

Original language description

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 meansof hypothetical percentiles, and that new spacings-based disparity statistics are obtained if we quantize by means of empirical percentiles.

Czech name

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Czech description

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Type

C - Chapter in a specialist book

CEP classification

BD - Information theory

OECD FORD branch

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Project

<a href="/en/project/GAP202%2F10%2F0618" target="_blank" >GAP202/10/0618: Bregman distances, divergences, and optimal algorithms for information retrieval, decisions and learning</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2010

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name

Handbook of Fitting Statistical Distributions with R

ISBN

978-1-58488-711-9

Number of pages of the result

56

Pages from-to

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Number of pages of the book

1718

Publisher name

CRC Press

Place of publication

Boca Raton

UT code for WoS chapter

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