Format:
Online-Ressource (X, 280p. 34 illus., 16 illus. in color, digital)
ISBN:
9789400718616
,
1280794186
,
9781280794186
Series Statement:
SpringerLink
Content:
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 sereies 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 adition, it demonstrates 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.This book will not only serve as a textbook for the students and teachers in water resources engineering but will also serve as the most comprehensive reference to educate researchers/scientists about the theory and practice of time series analysis in hydrological sciences. This book will be very useful to the students, researchers, teachers and professionals involved in water resources, hydrology, ecology, climate change, earth science, and environmental studies.
Note:
Description based upon print version of record
,
Hydrologic Time Series Analysis:Theory and Practice; Preface; About the Authors; Acknowledgements; Contents; 1: Introduction; 1.1 Water Problems and Challenges: An Overview; 1.2 What is Time Series?; 1.3 Time Series Analysis; 1.4 Classification of Time Series; 1.4.1 Discrete or Continuous Time Series; 1.4.2 Full or Partial Duration Series; 1.4.3 Univariate or Multivariate; 1.5 Structure of Time Series; 1.6 Salient Characteristics of Time Series; 1.7 Time Series Analysis vis-a-vis Hydrology; References; Part I: Tools/Techniques for Time Sries Analysis
,
2: Statistical Characteristics of Hydrologic Time Series2.1 Measures of Location; 2.1.2 Robust Measure: Median; 2.1.3 Additional Measures of Location; 2.2 Measures of Spread/Dispersion; 2.2.1 Classical Measures; 2.2.2 Robust Measures; 2.3 Measures of Skewness; 2.3.1 Classical Measure of Skewness; 2.3.2 Robust Measure of Skewness; 2.4 Additional Robust Measures; 2.5 Measures of Peakedness or Flatness; 2.6 Statistical Measures for System Performance Evaluation; 2.6.1 Reliability; 2.6.2 Resilience; 2.6.3 Vulnerability; References; 3: Methods for Testing Normality of Hydrologic Time Series
,
3.1 Graphical Methods3.1.1 Frequency Plots/Histogram; 3.1.2 Stem-and-Leaf Plot; 3.1.3 Box and Whisker Plot; 3.1.4 Ranked Data Plot; 3.1.5 Quantile Plot; 3.1.6 Normal Probability Plot; 3.2 Statistical Methods; 3.2.1 Chi-Square Test; 3.2.2 Kolmogorov-Smirnov Test; 3.2.3 Lilliefors Test; 3.2.4 Anderson-Darling Test; 3.2.5 Cramér-von-Mises Test; 3.2.6 Shapiro-Wilk Test; 3.2.7 Probability Plot Correlation Coefficient; 3.2.8 Coefficient of Variation; 3.2.9 Range Tests; 3.2.9.1 Studentized Range Test; 3.2.9.2 Geary's Test; 3.2.10 Jarque Bera Test; 3.2.11 D'Agostino Pearson Omnibus Test; References
,
4: Methods for Time Series Analysis4.1 Methods for Checking Homogeneity; 4.1.1 The von Neumann Test; 4.1.2 Cumulative Deviations Test; 4.1.3 Bayesian Test; 4.1.4 Tukey Test for Multiple Comparisons; 4.1.5 Link-Wallace Test; 4.1.6 Dunnett Test; 4.1.7 Bartlett Test; 4.1.8 Hartley Test; 4.2 Methods for Checking Stationarity; 4.2.1 Student's t-test; 4.2.2 Simple t-test; 4.2.3 Mann-Whitney Test; 4.3 Methods for Detecting Trend; 4.3.1 Regression Test; 4.3.2 Spearman Rank Order Correlation Test; 4.3.3 Turning Point Test; 4.3.4 Kendall's Phase Test; 4.3.5 Wald-Wolfowitz Total Number of Runs Test
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4.3.6 Sum of Squared Lengths Test4.3.7 Adjacency Test; 4.3.8 Difference Sign Test; 4.3.9 Run Test on Successive Differences; 4.3.10 Wilcoxon-Mann-Whitney Rank Sum Test; 4.3.11 Inversions Test; 4.3.12 Kendall's Rank Correlation Test; 4.3.13 Mann-Kendall Test; 4.3.14 Sen's Slope Estimation Test; 4.3.15 Trend-Homogeneity Test; 4.4 Methods for Checking Periodicity; 4.5 Methods for Persistence Testing; 4.5.1 Autocorrelation Technique; 4.5.2 Spectral Technique; 4.6 Merits and Demerits of Time Series Methods; References; 5: Stochastic Modelling of Time Series; 5.1 Common Stochastic Processes
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5.1.1 Purely Random Process
Additional Edition:
ISBN 9789400718609
Additional Edition:
Buchausg. u.d.T. Machiwal, Deepesh Hydrologic time series analysis Neu Dehli : Captial Publishing Company, 2012 ISBN 9400718608
Additional Edition:
ISBN 9789400718609
Additional Edition:
Online-Ausg. bei Myilibrary Machiwal, Deepesh Hydrologic Time Series Analysis: Theory and Practice Dordrecht : Springer Netherlands, 2012 ISBN 9789400718609
Additional Edition:
ISBN 9789400718616
Language:
English
Subjects:
Geography
,
Mathematics
Keywords:
Hydrogeologie
;
Hydrologie
;
Gewässer
;
Grundwasser
;
Zeitreihenanalyse
;
Statistische Analyse
;
Hydrogeologie
;
Hydrologie
;
Gewässer
;
Grundwasser
;
Zeitreihenanalyse
;
Statistische Analyse
DOI:
10.1007/978-94-007-1861-6
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