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Time Series: Statistics, Signal Processing, Mathematical Finance, Econometrics, Spatial Analysis, Time Reversibility, Cross-Correlation, Wavelet, Autocorrelation, Marginal Distribution - Softcover

 
9786130354916: Time Series: Statistics, Signal Processing, Mathematical Finance, Econometrics, Spatial Analysis, Time Reversibility, Cross-Correlation, Wavelet, Autocorrelation, Marginal Distribution

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics, signal processing and financial mathematics, a time series is a sequence of data points, measured typically at successive times spaced at uniform time intervals. Examples of time series are the daily closing value of the Dow Jones index or the annual flow volume of the Nile River at Aswan. Time series analysis comprises methods for analysing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to forecast future events based on known past events: to predict data points before they are measured. An example of time series forecasting in econometrics is predicting the opening price of a stock based on its past performance.

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Published by VDM Verlag Dr. Müller e.K., 2010
ISBN 10: 6130354916 ISBN 13: 9786130354916
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