Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Jan Koláček"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
Abstract For more than four decades, mass of Abrikosov vortices defied experimental observations. We demonstrate a method of its detection in high-temperature superconductors. Similarly to electrons, fluxons circulate in the direction given by the ma
Externí odkaz:
https://doaj.org/article/3b0f5de2bc8440b3a07493c820cb4f93
Autor:
Jana Svobodová, Jan Koláček
Publikováno v:
Statistika: Statistics and Economy Journal, Vol 98, Iss 3, Pp 295-304 (2018)
A significant part of research in terrorism studies focuses on the analysis of terrorist groups. An important issue for this type of research is that a large number of attacks are not attributed to a specific group. As an appropriate approach to solv
Externí odkaz:
https://doaj.org/article/9b04d19feffd40a7b40e28a9242ccf64
Autor:
Daniela Kuruczová, Jan Koláček
Publikováno v:
Statistika: Statistics and Economy Journal, Vol 97, Iss 3, Pp 107-115 (2017)
The focus of this paper is the nonparametric regression where the predictor is a functional random variable, and the response is a scalar. Functional kernel regression belongs to popular nonparametric methods used for this purpose. The two key prob
Externí odkaz:
https://doaj.org/article/0e92f666c40f48958186bc6bc00ed473
Autor:
Jan Koláček, Jitka Poměnková
Publikováno v:
Austrian Journal of Statistics, Vol 35, Iss 2&3 (2016)
The problem of boundary effects for nonparametric kernel regression is considered. We will follow the problem of bandwidth selection for Gasser-Müller estimator especially. There are two ways to avoid the difficulties caused by boundary effects in t
Externí odkaz:
https://doaj.org/article/05065cd80e4047e28663470b40147dac
Autor:
Jan Koláček, Rohana J. Karunamuni
Publikováno v:
Austrian Journal of Statistics, Vol 38, Iss 1 (2016)
The Receiver Operating Characteristic (ROC) curve is a statistical tool for evaluating the accuracy of diagnostics tests. The empirical ROC curve (which is a step function) is the most commonly used non-parametric estimator for the ROC curve. On the
Externí odkaz:
https://doaj.org/article/87451219196345789535d2609cba0211
Methods of kernel estimates represent one of the most effective nonparametric smoothing techniques. These methods are simple to understand and they possess very good statistical properties. This book provides a concise and comprehensive overview of s
Publikováno v:
Solid State Phenomena. 309:281-287
The publication outlines the issue of the experimental determination of modal parameters of structures using a method called operational modal analysis. The principle of the method and possible approaches of calculation of modal parameters are presen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::342b56faa2ca02ace9ee51148ad84b4d
https://doi.org/10.4028/www.scientific.net/ssp.309.281
https://doi.org/10.4028/www.scientific.net/ssp.309.281
Publikováno v:
Engineering Failure Analysis. 101:473-484
A top-priority task nowadays is to ensure quality, safety, and dependability of technical systems. As present systems are highly reliable, it is relatively unlikely for hard failure to occur frequently. One of the ways to avoid failures is by monitor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::745c8ab7f4e1cebf7874f7068d50ef06
https://doi.org/10.1016/j.engfailanal.2019.04.014
https://doi.org/10.1016/j.engfailanal.2019.04.014
Publikováno v:
Solid State Phenomena. 292:183-190
The paper deals with the design and development of a new and progressive structural types of footbridges with an external tendon used as a main load bearing member. Main goals of the paper are checking the possibilities of using such structures for m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::385ac84e5153970366ecf7928c036cc7
https://doi.org/10.4028/www.scientific.net/ssp.292.183
https://doi.org/10.4028/www.scientific.net/ssp.292.183
Publikováno v:
Communications in Statistics - Theory and Methods. 49:135-151
The present paper is focused on kernel estimation of the gradient of a multivariate regression function. Despite the importance of estimating partial derivatives of multivariate regression functions, the progress is rather slow. Our aim is to constru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92c961427445b7b52a52b44f1860b1f6
https://doi.org/10.1080/03610926.2018.1532518
https://doi.org/10.1080/03610926.2018.1532518