- News
- Subject and Goals
- Council and Annual Reports
- Contacts and Working Groups
- Lectures and Presentations
- Conferences and Seminars
- Publications
- Application Demos
- International Travels
- Visitors
- Past Events
- E-Synergy Login
SEARCH
MEMBERS OF RESEARCH CENTER
Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Publications
Goodness-of-fit tests based on observations quantized by hypothetical nad empirical quantiles.
Typ:
Research report
Authors:
Vajda I., van der Meulen E. C.
Name of edition:
Research report
Article number:
2160
Publisher:
ÚTIA AV ČR
Serie:
Praha
Year:
2006
Pages:
36
Keywords:
Goodness-of-fit, power divergences, asymptotic normality
attachment1:
IgorEdy-2160.pdf [file]
Anotation:
The research report studies goodnes-of-fit statistics defined by means of divergences, in particular power divergences, between hypothetical and empirical distributions quantized by means of hypothetical and empirical kvantiles taken as the quantization cutpoints. New asymptotic results and new relations to the classical goodness-of-fit statistcs are found.