Quantile Regression for Cross-Sectional and Time Series Data : Applications in Energy Markets Using R Paperback / softback
by Jorge M. Uribe, Montserrat Guillen
Part of the SpringerBriefs in Finance series
Paperback / softback
Description
This brief addresses the estimation of quantile regression models from a practical perspective, which will support researchers who need to use conditional quantile regression to measure economic relationships among a set of variables.
It will also benefit students using the methodology for the first time, and practitioners at private or public organizations who are interested in modeling different fragments of the conditional distribution of a given variable.
The book pursues a practical approach with reference to energy markets, helping readers learn the main features of the technique more quickly.
Emphasis is placed on the implementation details and the correct interpretation of the quantile regression coefficients rather than on the technicalities of the method, unlike the approach used in the majority of the literature.
All applications are illustrated with R.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:63 pages, 7 Illustrations, color; 6 Illustrations, black and white; X, 63 p. 13 illus., 7 illus. in
- Publisher:Springer Nature Switzerland AG
- Publication Date:31/03/2020
- Category:
- ISBN:9783030445034
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:63 pages, 7 Illustrations, color; 6 Illustrations, black and white; X, 63 p. 13 illus., 7 illus. in
- Publisher:Springer Nature Switzerland AG
- Publication Date:31/03/2020
- Category:
- ISBN:9783030445034
