Zobrazeno 1 - 10
of 125
pro vyhledávání: '"Jana Jurečková"'
Publikováno v:
Entropy, Vol 21, Iss 1, p 63 (2019)
This paper focuses on test procedures under corrupted data. We assume that the observations Z i are mismeasured, due to the presence of measurement errors. Thus, instead of Z i for i = 1 , … , n, we observe X i = Z i + δ V i, with an unknown param
Externí odkaz:
https://doaj.org/article/0e7f5aaaa96c47a78c98ead60f8bffae
Publikováno v:
Entropy, Vol 20, Iss 12, p 966 (2018)
We consider the likelihood ratio test of a simple null hypothesis (with density f 0 ) against a simple alternative hypothesis (with density g 0 ) in the situation that observations X i are mismeasured due to the presence of measurement errors. Thus i
Externí odkaz:
https://doaj.org/article/7c902aeaac8847b685357fcf41c37a26
Publikováno v:
Austrian Journal of Statistics, Vol 32, Iss 1&2 (2016)
Shapiro and Wilk (1965) proposed a highly intuitive goodness-of-fit test of normality with nuisance location and scale parameters. The test has received a considerable attention in the literature; its asymptotic null distribution is covered by the re
Externí odkaz:
https://doaj.org/article/1e0455922f954e6985e245b5c425eff7
Publikováno v:
Revstat Statistical Journal, Vol 2, Iss 1 (2004)
We propose an estimator of the Pareto tail index m of a distribution, that competes well with the Hill, Pickands and moment estimators. Unlike the above estimators, that are based only on the extreme observations, the proposed estimator uses all obse
Externí odkaz:
https://doaj.org/article/09eb0515d5be4f039c665aca1a49ab09
Publikováno v:
Metrika. 86:443-453
Publikováno v:
Applications of Mathematics. 65:257-269
We address the problem of estimating quantile-based statistical functionals, when the measured or controlled entities depend on exogenous variables which are not under our control. As a suitable tool we propose the empirical process of the average re
Autor:
Jana Jurečková, Jan Kalina
Publikováno v:
Applications of Mathematics. 65:227-228
Publikováno v:
Robust Statistical Methods with R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44433917d59a1a9ff6ec730fa99f9465
https://doi.org/10.1201/b21993-7
https://doi.org/10.1201/b21993-7