5 citations · 5 across the 2 of their papers we have counts for
5 papers
how well can sensitivity and sojourn time be estimated
Ayman Hijazy, András Zempléni
Chronic disease progression models are governed by three main parameters: sensitivity, preclinical intensity, and sojourn time. The estimation of these parameters helps in optimizi…
Trend detection in GEV models
László Németh, Zuzana Hübnerová, András Zempléni
In recent environmental studies extreme events have a great impact. The yearly and monthly maxima of environment related indices can be analysed by the tools of extreme value theor…
Mathematical modelling European temperature data: spatial differences in global warming
Csilla Hajas, András Zempléni
This paper shows an analysis of the gridded European precipitation data. We combine simple linear regression with data mining tools like clustering, and evaluate the strength of th…
Generalised block bootstrap and its use in meteorology
László Varga, András Zempléni
In an earlier paper Rakonczai et al. (2014), we have emphasized the effective sample size for autocorrelated data. The simulations were based on the block bootstrap methodology. Ho…
Weighted bootstrap in GARCH models
László Varga, András Zempléni
GARCH models are useful tools in the investigation of phenomena, where volatility changes are prominent features, like most financial data. The parameter estimation via quasi maxim…