
Time Series Models (eBook, PDF)
PAYBACK Punkte
36 °P sammeln!
Time Series Models (eBook, PDF)
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Manfred Deistler is Emeritus Professor of Econometrics and System Theory at the Institute of Statistics and Mathematical Methods in Economics at the TU Wien, Vienna, Austria. His research interests include time series analysis, systems identification and econometrics. He is a Fellow of the Econometric Society, the IEEE, and the Journal of Econometrics.
Wolfgang Scherrer is a Professor of Econometrics and System Theory at the Institute of Statistics and Mathematical Methods in Economics at the TU Wien, Vienna, Austria. His research interests include time series analysis, econometrics, dynamic factor models and applications in the area of energy supply.
Wolfgang Scherrer is a Professor of Econometrics and System Theory at the Institute of Statistics and Mathematical Methods in Economics at the TU Wien, Vienna, Austria. His research interests include time series analysis, econometrics, dynamic factor models and applications in the area of energy supply.
Produktdetails
- Verlag: Springer International Publishing
- Seitenzahl: 201
- Erscheinungstermin: 21. Oktober 2022
- Englisch
- ISBN-13: 9783031132131
- Artikelnr.: 66225123
"The book is not too long, with roughly 200 pages, which is advantageous for the use in lectures. ... it is also well suited for seminars following such lectures on more advanced topics in time series analysis. ... the book fills a small but important gap in the literature, finding its place in the plethora of time series textbooks." (Claudia Kirch, zbMATH 1532.62006, 2024)
"This lecture note is recommended as a textbook that is quite plainly written for graduate students and research workers who are interested in deeply understanding time series modeling." (Yuzo Hosoya, Mathematical Reviews, October, 2023)
"This lecture note is recommended as a textbook that is quite plainly written for graduate students and research workers who are interested in deeply understanding time series modeling." (Yuzo Hosoya, Mathematical Reviews, October, 2023)
Für dieses Produkt wurde noch keine Bewertung abgegeben. Wir würden uns sehr freuen, wenn du die erste Bewertung schreibst!
Eine Bewertung schreiben
Eine Bewertung schreiben
Andere Kunden interessierten sich für