Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Jan Kalina"'
Autor:
Jan Kalina
Publikováno v:
Serbian Journal of Management, Vol 17, Iss 1, Pp 207-218 (2022)
Although the mainstream economic doctrine relies on the concept of equilibrium, the current society has been recently facing serious challenges. While we can experience a gradually rise of the ideals of the knowledge society, we hold the opinion that
Externí odkaz:
https://doaj.org/article/bc9401c88190477da55c4750084d5e4b
Publikováno v:
Taiwanese Journal of Obstetrics & Gynecology, Vol 60, Iss 1, Pp 84-89 (2021)
Objective: The establishment of ongoing audits for first-trimester nuchal translucency (NT) measurements is of paramount importance. The exponentially weighted moving average (EWMA) chart has been published as an efficient tool for NT quality control
Externí odkaz:
https://doaj.org/article/fac1a75432b5438bae309b7547ad5468
Autor:
Jan Kalina
Publikováno v:
Serbian Journal of Management, Vol 15, Iss 2, Pp 193-203 (2020)
Quantile regression represents a popular and useful methodology for modeling quantiles of a response variable based on one or more independent variables. Directional quantiles represent an available extension to the linear regression model with a mul
Externí odkaz:
https://doaj.org/article/f850422a350d4e57b903182330c60946
Publikováno v:
Taiwanese Journal of Obstetrics & Gynecology, Vol 61, Iss 1, Pp 190- (2022)
Externí odkaz:
https://doaj.org/article/ef37d9e50364430ea381d32f6c51d350
Autor:
Jan Kalina
Publikováno v:
Serbian Journal of Management, Vol 12, Iss 1, Pp 157-169 (2017)
This work is devoted to statistical methods for the analysis of economic data with a large number of variables. The authors present a review of references documenting that such data are more and more commonly available in various theoretical and appl
Externí odkaz:
https://doaj.org/article/e8b1ff11a6984d569e515d49c323db25
Autor:
Jan Kalina, Dita Rensová
Publikováno v:
Serbian Journal of Management, Vol 10, Iss 1, Pp 131-140 (2015)
Data analysis in management applications often requires to handle data with a large number of variables. Therefore, dimensionality reduction represents a common and important step in the analysis of multivariate data by methods of both statistics a
Externí odkaz:
https://doaj.org/article/5ef516a85318478ba1d77e87f67f4ae7
Autor:
Jan Kalina
Publikováno v:
Serbian Journal of Management, Vol 9, Iss 1, Pp 131-144 (2014)
Information extraction from high-dimensional data represents an important problem in current applications in management or econometrics. An important problem from a practical point of view is the sensitivity of machine learning methods with respect
Externí odkaz:
https://doaj.org/article/798de97128b3495f900bdf8f113ce4b7
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
Autor:
Jan Kalina
Publikováno v:
Serbian Journal of Management, Vol 8, Iss 1, Pp 9-24 (2013)
This paper is devoted to highly robust methods for information extraction from data, with a special attention paid to methods suitable for management applications. The sensitivity of availabledata mining methods to the presence of outlying measuremen
Externí odkaz:
https://doaj.org/article/1f0deb09b35643989c8094fe6380e099
Autor:
Jan Kalina
Publikováno v:
Serbian Journal of Management, Vol 7, Iss 2, Pp 193-194 (2012)
Externí odkaz:
https://doaj.org/article/5f10931d30d345c881cf5bc7afa9f720