2,946 research outputs found
Evidence based leadership
No full textAuthor Markus PodduikinMasterarbeit Johannes Kepler Universität Linz 2024Arbeit gesperr
Improving the search for monitoring tools using recommender technology
No full textAuthor Markus Eisl BSc.Masterarbeit Universität Linz 2023Arbeit gesperr
Improving the search for monitoring tools using recommender technology
No full textAuthor Markus Eisl BSc.Masterarbeit Universität Linz 2023Arbeit gesperr
metal-organic framework 4H, 4H-octafluoroazobenezene perfluoroazobenzene
No full textauthor: Markus RödlKumulative Masterarbeit aus einem ArtikelMasterarbeit University of Innsbruck 2022Arbeit gesperr
metal-organic framework 4H, 4H-octafluoroazobenezene perfluoroazobenzene
No full textauthor: Markus RödlKumulative Masterarbeit aus einem ArtikelMasterarbeit University of Innsbruck 2022Arbeit gesperr
Strategi Pelayanan Lintas Budaya Berdasarkan Markus 4:1-34
Get PDFHarming & Katarina, Cross-cultural Service Strategy based on Mark 4: 1-34. The author conducted a study of the text of Mark 4: 1-34 using qualitative research literature study using the biblical hermeneutic principle. Based on the analysis of the text of Mark 4: 1-34 the authors find there are four cross-cultural service strategies namely by understanding local culture, using media. Harming & Katarina, Strategi Pelayanan Lintas budaya Berdasarkan Markus 4:1-34. Penulis melakukan penelitian terhadap teks Markus 4:1-34 dengan menggunakan penelitian kualitatif studi pustaka dengan menggunakan prinsip hermeneutik Alkitab. Berdasarkan analisis terhadap teks Markus 4:1-34 penulis menemukan ada empat strategi pelayanan lintas budaya yaitu dengan memahami budaya lokal, menggunakan media yang ada dalam budaya, memberdayakan potensi yang ada, dan menciptakan terobosan
BEKKs: An R Package for Estimation of Conditional Volatility of Multivariate Time Series
Get PDFWe describe the R-Package BEKKs, which implements the estimation and diagnostic analysis of a prominent family of multivariate generalized autoregressive conditionally het- eroskedastic (MGARCH) processes, the so-called BEKK models. Unlike existing software packages, we make use of analytical derivatives implemented in efficient C++ code for non- linear log-likelihood optimization. This allows fast parameter estimation even in higher model dimensions N > 3. The baseline BEKK model is complemented with an asym- metric parametrization that allows for a flexible modelling of conditional (co)variances. Furthermore, we provide the user with the simplified scalar and diagonal BEKK models to deal with high dimensionality of heteroskedastic time series. The package is designed in an object-oriented way featuring a comprehensive toolbox of methods to investigate and interpret, for instance, volatility impulse response functions, risk estimation and fore- casting (VaR) and a backtesting algorithm to compare the forecasting performance of alternative BEKK models. For illustrative purposes, we analyse a bivariate ETF return series (S&P, US treasury bonds) and a four-dimensional system comprising, in addition, a gold ETF and changes of a log oil price by means of the suggested package. We find that the BEKKs package is more than 100 times faster for time series systems of dimension N > 3 than other existing packages
Development of a Software Tool for Analyzing Experimental Data of a Recycling Machine
No full textAuthor DI Markus Kirchmayr, BScMasterarbeit Universität Linz 2022Arbeit nach Ablauf der Sperre auf den öffentlichen PCs in den Bibliotheken der JKU+Medizin abrufba
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