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Lecture Applied econometric time series (4e) - Chapter 2: Stationary time-series models

Lecture Applied econometric time series (4e) - Chapter 2: Stationary time-series models
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Lecture Applied econometric time series (4e) - Chapter 5: Multiequation time-series models

Lecture Applied econometric time series (4e) - Chapter 5: Multiequation time-series models
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Time Series Forecasting – Part I

Time Series Forecasting – Part I
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Appendix A: An Overview on Time Series Data Mining

Appendix A: An Overview on Time Series Data Mining
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Lecture Applied econometric time series (4e) - Chapter 1: Difference equations

Lecture Applied econometric time series (4e) - Chapter 1: Difference equations
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Lecture Applied econometric time series (4e) - Chapter 3: Modeling volatility

Lecture Applied econometric time series (4e) - Chapter 3: Modeling volatility
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Lecture Applied econometric time series (4e) - Chapter 6: Cointegration and error-correction models

Lecture Applied econometric time series (4e) - Chapter 6: Cointegration and error-correction models
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Lecture Applied econometric time series (4e) - Chapter 7: Nonlinear models and breaks

Lecture Applied econometric time series (4e) - Chapter 7: Nonlinear models and breaks
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Summary of Mathematics Doctoral Dissertation: Apply Markov chains model and fuzzy time series for forecasting

Summary of Mathematics Doctoral Dissertation: Apply Markov chains model and fuzzy time series for forecasting
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Similarity search for numerous patterns over multiple time series streams under dynamic time warping which supports data normalization

Similarity search for numerous patterns over multiple time series streams under dynamic time warping which supports data normalization
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Time series prediction: A combination of long short-term memory and structural time series models

Time series prediction: A combination of long short-term memory and structural time series models
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The partitioning method based on hedge algebras for fuzzy time series forecasting

The partitioning method based on hedge algebras for fuzzy time series forecasting
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Using hedge algebras and particle swarm optimization algorithm to build fuzzy time series model for forecasting

Using hedge algebras and particle swarm optimization algorithm to build fuzzy time series model for forecasting
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Lecture Applied econometric time series (4e) - Chapter 4: Models with trend

Lecture Applied econometric time series (4e) - Chapter 4: Models with trend
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An efficient tree based frequent temporal inter object pattern mining approach in time series databases

An efficient tree based frequent temporal inter object pattern mining approach in time series databases
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Permanent water bodies mapping in the Mekong river delta using seasonal time series C-band SAR data

Permanent water bodies mapping in the Mekong river delta using seasonal time series C-band SAR data
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Lecture Undergraduate econometrics, 2nd edition - Chapter 16: Regression with time series data

Lecture Undergraduate econometrics, 2nd edition - Chapter 16: Regression with time series data
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Forecasting of nitrogen content in the soil by hybrid time series model

Forecasting of nitrogen content in the soil by hybrid time series model
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Prediction of rainfall of Allahabad district by the development of autoregressive time series model

Prediction of rainfall of Allahabad district by the development of autoregressive time series model
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Lecture Undergraduate econometrics, 2nd edition - Chapter 16: Regression with time series data

Lecture Undergraduate econometrics, 2nd edition - Chapter 16: Regression with time series data
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