Applications in Energy Markets Using R
E-Book, Englisch, 63 Seiten, eBook
Reihe: SpringerBriefs in Finance
ISBN: 978-3-030-44504-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Why and When Should Quantile Regression Be Used?- A Case of Study: Modelling Energy Markets by the Means of Quantile Regression.- Quantile Regression: A Methodological Overview.- Cross-Sectional Quantile Regression.- Time Series Quantile Regression.- Goodness of Fit in Quantile Regression Models.- Novel Approaches in Quantile Regression.- What Have We Learned from Quantile Regression? Implications for Economics and Finance.- Appendix: Programs for Quantile Regression and Implementation in R.