Study of Weighted Kolmogorov-Smirnov homogeneity test's properties
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F18%3A00325066" target="_blank" >RIV/68407700:21340/18:00325066 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Study of Weighted Kolmogorov-Smirnov homogeneity test's properties
Original language description
In particle physics, homogeneity tests can be used to verify whether measured data's distribution corresponds to the distribution of a simulated Monte Carlo sample. However, Monte Carlo generator produces weighted samples because weights are used to modify the sample in order to take into account various attributes of a detector. Generalized homogeneity tests, such as the KolmogorovSmirnov test, allow us to test the homogeneity of weighted samples. Several approaches to generalizations of this test are compared with generalized chi-2 test in three numerical experiments, which focus on an in uence of weights' distribution on a probability of type-I error which is a key element of test's reliability.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/LTT18001" target="_blank" >LTT18001: Collaboration on experiments in Fermi National Accelerator Laboratory, USA</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SPMS 2018 - Stochastic and Physical Monitoring Systems, Proceedings of the international conference
ISBN
978-80-01-06501-3
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
107-114
Publisher name
Česká technika - nakladatelství ČVUT
Place of publication
Praha
Event location
Dobřichovice
Event date
Jun 18, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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