Stationary Process: Mathematics, Stochastic Process, Joint Probability Pistribution, Time Series, Cyclostationary Process, Law of Large Numbers, Cumulative Distribution Function - Couverture souple

 
9786130330996: Stationary Process: Mathematics, Stochastic Process, Joint Probability Pistribution, Time Series, Cyclostationary Process, Law of Large Numbers, Cumulative Distribution Function
Couverture souple
ISBN 10 : 6130330995 ISBN 13 : 9786130330996
Editeur : Betascript Publishing, 2010

Synopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. 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.

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Éditeur
Betascript Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
6130330995
ISBN 13 
9786130330996
Reliure
Broché
Nombre de pages
76
Éditeur
Surhone Lambert M., Timpledon Miriam T., Marseken Susan F.
Coordonnées du fabricant
non disponible
Personne responsable
non disponible