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Bivariate Time Series Analysis
Analysis of bivariate time series is necessary for detecting teleconnections and reconstructing climate but it is almost always done in natural...
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Analysis of Trivariate Time Series
The trivariate case presents an important transfer to really multivariate time series. It includes frequency domain characteristics which have not...
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Analysis of Scalar Time Series
The basics of theory of random processes including the concepts of stationarity, ergodicity, and linearity are given in simple form to help user to...
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Practical Time Series Analysis in Natural Sciences
This book presents an easy-to-use tool for time series analysis and allows the user to concentrate upon studying time series properties rather than...
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Time Series Analysis
Time series analysis is used to investigate the temporal behavior of a variable x(t). Examples include investigations into long-term records of...
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Extended singular spectrum analysis for processing incomplete heterogeneous geodetic time series
The singular spectrum analysis (SSA) is a powerful tool to de-noise the geodetic time series and extract geophysical signals of interest. However,...
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Moving Trend Analysis Methodology for Hydro-meteorology Time Series Dynamic Assessment
In the last 30 years, there are many publications in the literature due to global warming and climate change impacts exhibiting non-stationary...
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Modeling and forecasting rainfall patterns in India: a time series analysis with XGBoost algorithm
This study utilizes time series analysis and machine learning techniques to model and forecast rainfall patterns across different seasons in India....
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Innovative trend analysis for the streamflow sub-time series of the source Region of the Yangtze River
The Mann–Kendall (MK) trend test, Innovative Trend Analysis (ITA), double-ITA (D-ITA), triple-ITA (T-ITA), and Innovative Triangular Trend Analysis...
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GTS_CME: an open-source MATLAB-based software for the analysis of common mode errors in GNSS coordinate time series
Regional global navigation satellite system (GNSS) network analyses are often affected by spatially correlated errors, also known as common mode...
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XLKarst, an Excel tool for time series analysis, spring recession curve analysis and classification of karst aquifers
Karst aquifers are complex hydrogeological systems that require numerous in-situ measurements of hydrological and physico-chemical parameters to...
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Chaotic analysis of daily runoff time series using dynamic, metric, and topological approaches
The main goal of this work is summed up in a univariate chaotic analysis of the runoff series using a topological approach. As such, nineteen series...
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A Method of Strain Rate Calculation Based on GNSS Time Series and Its Accuracy Analysis
AbstractOur study is based on 68 continuous GNSS observation data time series in Sichuan-Yunnan covering 4 years. We detected and deleted the...
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Analysis of heating degree-days (HDD) data using machine learning and conventional time series methods
Heating degree-days (HDD) is a unit to measure the duration of cold weather during a 24-h period. Accurate HDD forecasting is crucial in terms of...
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Relationships between River and Groundwater Flow in an Alluvial Plain by Time Series Analysis and Numerical Modeling
Alluvial plains represent hydrological systems where the aquifer and the associated stream network are in hydraulic communication. In many instances,...
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Monitoring and Analysis of Surface Deformation in Songyuan City, Jilin Province Based on Time Series InSAR
Frequent occurrence of earthquakes and the massive exploitation of underground resources make Songyuan City an area prone to surface deformation....
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Wavelet-based de-noising approach for trend analysis and coherency relation in hydrological time series (case study: Ardabil plain)
The objective of this study was to examine the impact of de-noising using the wavelet transform (WT) as a preprocessing method on the trend of...
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Specifying a cascade water demand forecasting model using time-series analysis: a case of Jordan
This study aims to develop a model for forecasting water demand for 2021–2030 to examine water availability for municipality uses in the Al-Balqa...
