'Weakly stationary time series' diaporamas de présentation

Weakly stationary time series - PowerPoint PPT Presentation

Estimation of the spectral density function

Estimation of the spectral density function

Estimation of the spectral density function. The spectral density function, f ( l ) The spectral density function, f ( x ), is a symmetric function defined on the interval [- p , p ] satisfying. and.

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1.49k views • 147 slides
Estimation of the spectral density function

Estimation of the spectral density function

Estimation of the spectral density function. The spectral density function, f ( l ) The spectral density function, f ( x ), is a symmetric function defined on the interval [- p , p ] satisfying. and.

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1.67k views • 144 slides
The Spectral Representation of Stationary Time Series

The Spectral Representation of Stationary Time Series

The Spectral Representation of Stationary Time Series. Stationary time series satisfy the properties: Constant mean ( E ( x t ) = m ) Constant variance (Var( x t ) = s 2 ) Correlation between two observations ( x t , x t + h ) dependent only on the distance h.

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660 views • 65 slides
The Spectral Representation of Stationary Time Series

The Spectral Representation of Stationary Time Series

The Spectral Representation of Stationary Time Series. Stationary time series satisfy the properties: Constant mean ( E ( x t ) = m ) Constant variance (Var( x t ) = s 2 ) Correlation between two observations ( x t , x t + h ) dependent only on the distance h.

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652 views • 65 slides
Analyzing stochastic time series Tutorial

Analyzing stochastic time series Tutorial

Kingston University, Dept. Computing, Information Systems and Mathematics. Analyzing stochastic time series Tutorial. Malgorzata Kotulska Department of Biomedical Engineering & Instrumentation Wroclaw University of Technology, Poland. Outline.

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772 views • 52 slides
Time Series Analysis

Time Series Analysis

Time Series Analysis. PART II. Econometric Forecasting

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505 views • 33 slides
Time Series Analysis

Time Series Analysis

Time Series Analysis. PART II. Econometric Forecasting

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476 views • 33 slides

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