Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

DeepDyve requires Javascript to function. Please enable Javascript on your browser to continue.

Long-Range Dependence and Sea Level Forecasting

Part of the SpringerBriefs in Statistics Book Series

DOI: 10.1007/978-3-319-01505-7

ISBN: 978-3-319-01504-0

Publisher: Springer International Publishing - Springer Journals

Aug 30, 2013

LitStream

Chapter 1Introduction

Ercan, Ali; Kavvas, M. Levent; Abbasov, Rovshan K.

Pages: 1 –5

[The stochastic approaches have been valuable in hydrological, geophysical and climatological research for representing a wide range of time series variability, uncertainty estimation, and generating future alternatives. Long-range dependence characteristics of the geophysical time series have...
LitStream

Chapter 2Long-Range Dependence and ARFIMA Models

Ercan, Ali; Kavvas, M. Levent; Abbasov, Rovshan K.

Pages: 7 –10

[In this chapter, long-range dependence concept, Hurst phenomenon and ARFIMA models are introduced and the earlier work on these subjects are reviewed. Several methodologies are introduced for the estimation of long-range dependence index (Hurst number or fractional difference parameter).]
LitStream

Chapter 3Forecasting, Confidence Band Estimation and Updating

Ercan, Ali; Kavvas, M. Levent; Abbasov, Rovshan K.

Pages: 11 –14

[In this chapter, forecasting, forecast confidence band estimation, and the forecast updating methodologies, provided for ARIMA models in the literature, are modified and presented for the ARFIMA models.]
LitStream

Chapter 4Case Study I: Caspian Sea Level

Ercan, Ali; Kavvas, M. Levent; Abbasov, Rovshan K.

Pages: 15 –37

[The case of the Caspian Sea level time series demonstrates that both the long range dependence and some secular long term trend may exist together in geophysical phenomena. Even after removing the long term trend from the Caspian Sea level time series, the residual time series still demonstrate...
LitStream

Chapter 5Case Study II: Sea Level Change at Peninsular Malaysia and Sabah-Sarawak

Ercan, Ali; Kavvas, M. Levent; Abbasov, Rovshan K.

Pages: 39 –48

[For the region of Peninsular Malaysia and Malaysia’s Sabah-Sarawak northern region of Borneo Island, long sea level records do not exist. In such case the Atmospheric-Oceanic Global Climate Model (AOGCM) projections for the 21st century can be downscaled to the Malaysia region by means of...
LitStream

Chapter 6Summary and Conclusion

Ercan, Ali; Kavvas, M. Levent; Abbasov, Rovshan K.

Pages: 49 –51

[Determining when to apply what model is a major challenge in statistical forecasting of a chaotic signal. The chaotic behavior of signals, like that of Caspian Sea level time series, renders the confidence band estimation and forecast updating components of forecasting quite significant for the...

results per page

Prev
1
Next

Browse All eBooks