Browsing by Subject "C13"
Now showing items 1-6 of 6
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One Value of Smoothing Parameter vs Interval of Smoothing Parameter Values in Kernel Density Estimation
(Wydawnictwo Uniwersytetu Łódzkiego, 2017)Ad hoc methods in the choice of smoothing parameter in kernel density estimation, although often used in practice due to their simplicity and hence the calculated efficiency, are characterized by quite big error. The ... -
Order statistics in control charts construction
(Wydawnictwo Uniwersytetu Łódzkiego, 2016)Order statistics are applied in construction of control charts that are used in statistical process control. Control charts monitor the average process level, volatility or extreme values: maximum and minimum. In the paper ... -
Risks of investment in personnel development: evidence from Ukrainian IT companies
(University of Lodz, 2015-06)In this paper, we examine key factors that influence the risks of investment in the development of human capital of a firm in the IT sector and estimate their weight in the overall risk. In particular, we single out the ... -
Scaled Consistent Estimation of Regression Parameters in Frailty Models
(Wydawnictwo Uniwersytetu Łódzkiego, 2018)A computationally attractive method of estimation of parameters for a class of frailty regression models is discussed. The method uses maximum likelihood estimation for the classical exponential regression model. Scaled ... -
Scaled Consistent Estimation of Regression Parameters in Frailty Models
(Wydawnictwo Uniwersytetu Łódzkiego, 2018)A computationally attractive method of estimation of parameters for a class of frailty regression models is discussed. The method uses maximum likelihood estimation for the classical exponential regression model. Scaled ... -
Selected Robust Logistic Regression Specification for Classification of Multi‑dimensional Functional Data in Presence of Outlier
(Wydawnictwo Uniwersytetu Łódzkiego, 2018)In this paper, the binary classification problem of multi‑dimensional functional data is considered. To solve this problem a regression technique based on functional logistic regression model is used. This model is ...