9788185589688 (1 risultati)
Editore: Capital, 2012
- Rilegato
Da: Vedams eBooks (P) Ltd, New Delhi, IndiaVedams eBooks (P) Ltd
Contatta il venditoreVenditore con 4 stelleCondizione: Usato - Come nuovo
EUR 50,19
EUR 17,50 spedizioneSpedito da India a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: As New. Contents: Preface. 1. Introduction. I. Tools/techniques for time series analysis: 2. Statistical characteristics of hydrologic time series. 3. Methods for testing normality of hydrologic time series. 4. Methods for time series analysis. 5. Stochastic modelling of time series. 6. Current status of t…ime series analysis in hydrological sciences. II. Salient case studies: 7. Efficacy of time series tests: a critical assessment. 8. Trend and homogeneity in subsurface hydrologic variables: case study in a hard-rock aquifer of western India. 9. Analysis of stream flow trend in the Susquehanna river basin, USA/Zhenxing Zhang, Robert D. Pody, Andrew D. Dehoff and John W. Balay. 10. Analysis of trends in low-flow time series of Canadian rivers/M.N. Khaliq and L. Sushama. 11. Exploring trends in climatological time series of Orissa, India using nonparametric trend tests/Dileep K. Panda and A. Kumar. 12. Analysis of trend and periodicity in long-term annual rainfall time series of Nigeria/Philip G. Oguntunde and Babatunde J. Abiodun. Appendices. Index. There is a dearth of relevant books dealing with both theory and application of time series analysis techniques, particularly in the field of water resources engineering. Therefore, many hydrologists and hydrogeologists face difficulties in adopting time series analysis as one of the tools for their research. This book fills this gap by providing a proper blend of theoretical and practical aspects of time series analysis. It deals with a comprehensive overview of time series characteristics in hydrology/water resources engineering, various tools and techniques for analyzing time series data, theoretical details of 31 available statistical tests along with detailed procedures for applying them to real-world time series data, theory and methodology of stochastic modelling, and current status of time series analysis in hydrological sciences. In addition, it demonstrate the application of most time series tests through a case study as well as presents a comparative performance evaluation of various time series tests, together with four invited case studies from India and abroad.
