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Stationary Process
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High Quality Content by WIKIPEDIA articles! In the mathematical sciences, a stationary process (or strict(ly) stationary process or strong(ly) stationary process) is a stochastic process whose joint probability distribution does not change when shifted in time or space. As a result, parameters such as the mean and variance, if they exist, also do not change over time or position. Stationarity is used as a tool in time series analysis, where the raw data are often transformed to become stationary, for example, economic data are often seasonal and/or dependent on the price level. Processes are described as trend stationary if they are a linear combination of a stationary process and one or more processes exhibiting a trend. Transforming these data to leave a stationary data set for analysis is referred to as de-trending.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786130330996
- Editor Lambert M. Surhone, Miriam T. Timpledon, Susan F. Marseken
- Sprache Englisch
- Größe H224mm x B154mm x T15mm
- Jahr 2009
- EAN 9786130330996
- Format Kartonierter Einband
- ISBN 978-613-0-33099-6
- Titel Stationary Process
- Untertitel Mathematics, Stochastic Process, Joint Probability Pistribution, Time Series, Cyclostationary Process, Law of Large Numbers, Cumulative Distribution Function
- Gewicht 131g
- Herausgeber Betascript Publishers
- Anzahl Seiten 76
- Genre Mathematik
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