Iterative algorithms for short-term forecasting (Paperback)
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Iterative algorithms for short-term forecasting (2014)
DE PB NW RP
ISBN: 9783659634581 bzw. 3659634581, in Deutsch, LAP Lambert Academic Publishing Dez 2014, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, NDS, Germany.
This item is printed on demand - Print on Demand Titel. Neuware - The monograph examines the relaxation iterative algorithms for short-term forecasting of real processes. Their main structural features and the convergence are presented. These algorithms can work as with the small sample sizes (ranging from three records) so with the large amount of data (from three dozen up to thousand variables and up to five dozen of thousand records). Since in these algorithms is observed balance between speed and complexity of models which they build, there are suggested ways to increase the accuracy of solutions if volume of observations is small. For example, to accelerate drag selection for patients, there are used different sample divisions, adaptive prognosis and complex forecasting that takes into account low-frequency (trend) and high-frequency component (residue) of the real process. But one step forward forecast of space weather with a lot of records has shown the high accuracy on the examination sample without mentioned accuracy improvement tools. Comparison of oil price forecasts obtained via GMDH against well known methods showed greater accuracy for the first ones. This book is intended for specialists in the field of forecasting complex systems. 116 pp. Englisch.
This item is printed on demand - Print on Demand Titel. Neuware - The monograph examines the relaxation iterative algorithms for short-term forecasting of real processes. Their main structural features and the convergence are presented. These algorithms can work as with the small sample sizes (ranging from three records) so with the large amount of data (from three dozen up to thousand variables and up to five dozen of thousand records). Since in these algorithms is observed balance between speed and complexity of models which they build, there are suggested ways to increase the accuracy of solutions if volume of observations is small. For example, to accelerate drag selection for patients, there are used different sample divisions, adaptive prognosis and complex forecasting that takes into account low-frequency (trend) and high-frequency component (residue) of the real process. But one step forward forecast of space weather with a lot of records has shown the high accuracy on the examination sample without mentioned accuracy improvement tools. Comparison of oil price forecasts obtained via GMDH against well known methods showed greater accuracy for the first ones. This book is intended for specialists in the field of forecasting complex systems. 116 pp. Englisch.
2
Iterative algorithms for short-term forecasting
DE NW
ISBN: 9783659634581 bzw. 3659634581, in Deutsch, neu.
Lieferung aus: Deutschland, zzgl. Versandkosten.
The monograph examines the relaxation iterative algorithms for short-term forecasting of real processes. Their main structural features and the convergence are presented. These algorithms can work as with the small sample sizes (ranging from three records) so with the large amount of data (from three dozen up to thousand variables and up to five dozen of thousand records). Since in these algorithms is observed balance between speed and complexity of models which they build, there are suggested ways to increase the accuracy of solutions if volume of observations is small. For example, to accelerate drag selection for patients, there are used different sample divisions, adaptive prognosis and complex forecasting that takes into account low-frequency (trend) and high-frequency component (residue) of the real process. But one step forward forecast of space weather with a lot of records has shown the high accuracy on the examination sample without mentioned accuracy improvement tools. Comparison of oil price forecasts obtained via GMDH against well known methods showed greater accuracy for the first ones. This book is intended for specialists in the field of forecasting complex systems.
The monograph examines the relaxation iterative algorithms for short-term forecasting of real processes. Their main structural features and the convergence are presented. These algorithms can work as with the small sample sizes (ranging from three records) so with the large amount of data (from three dozen up to thousand variables and up to five dozen of thousand records). Since in these algorithms is observed balance between speed and complexity of models which they build, there are suggested ways to increase the accuracy of solutions if volume of observations is small. For example, to accelerate drag selection for patients, there are used different sample divisions, adaptive prognosis and complex forecasting that takes into account low-frequency (trend) and high-frequency component (residue) of the real process. But one step forward forecast of space weather with a lot of records has shown the high accuracy on the examination sample without mentioned accuracy improvement tools. Comparison of oil price forecasts obtained via GMDH against well known methods showed greater accuracy for the first ones. This book is intended for specialists in the field of forecasting complex systems.
3
Iterative algorithms for short-term forecasting
~EN NW AB
ISBN: 9783659634581 bzw. 3659634581, vermutlich in Englisch, neu, Hörbuch.
Lieferung aus: Österreich, Lieferzeit: 5 Tage, zzgl. Versandkosten.
The monograph examines the relaxation iterative algorithms for short-term forecasting of real processes. Their main structural features and the convergence are presented. These algorithms can work as with the small sample sizes (ranging from three records) so with the large amount of data (from three dozen up to thousand variables and up to five dozen of thousand records). Since in these algorithms is observed balance between speed and complexity of models which they build, there are suggested ways to increase the accuracy of solutions if volume of observations is small. For example, to accelerate drag selection for patients, there are used different sample divisions, adaptive prognosis and complex forecasting that takes into account low-frequency (trend) and high-frequency component (residue) of the real process. But one step forward forecast of space weather with a lot of records has shown the high accuracy on the examination sample without mentioned accuracy improvement tools. Comparison of oil price forecasts obtained via GMDH against well known methods showed greater accuracy for the first ones. This book is intended for specialists in the field of forecasting complex systems.
The monograph examines the relaxation iterative algorithms for short-term forecasting of real processes. Their main structural features and the convergence are presented. These algorithms can work as with the small sample sizes (ranging from three records) so with the large amount of data (from three dozen up to thousand variables and up to five dozen of thousand records). Since in these algorithms is observed balance between speed and complexity of models which they build, there are suggested ways to increase the accuracy of solutions if volume of observations is small. For example, to accelerate drag selection for patients, there are used different sample divisions, adaptive prognosis and complex forecasting that takes into account low-frequency (trend) and high-frequency component (residue) of the real process. But one step forward forecast of space weather with a lot of records has shown the high accuracy on the examination sample without mentioned accuracy improvement tools. Comparison of oil price forecasts obtained via GMDH against well known methods showed greater accuracy for the first ones. This book is intended for specialists in the field of forecasting complex systems.
4
Iterative algorithms for short-term forecasting
~EN PB NW
ISBN: 9783659634581 bzw. 3659634581, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Iterative algorithms for short-term forecasting: The monograph examines the relaxation iterative algorithms for short-term forecasting of real processes. Their main structural features and the convergence are presented. These algorithms can work as with the small sample sizes (ranging from three records) so with the large amount of data (from three dozen up to thousand variables and up to five dozen of thousand records). Since in these algorithms is observed balance between speed and complexity of models which they build, there are suggested ways to increase the accuracy of solutions if volume of observations is small. For example, to accelerate drag selection for patients, there are used different sample divisions, adaptive prognosis and complex forecasting that takes into account low-frequency (trend) and high-frequency component (residue) of the real process. But one step forward forecast of space weather with a lot of records has shown the high accuracy on the examination sample without mentioned accuracy improvement tools. Comparison of oil price forecasts obtained via GMDH against well known methods showed greater accuracy for the first ones. This book is intended for specialists in the field of forecasting complex systems. Englisch, Taschenbuch.
Iterative algorithms for short-term forecasting: The monograph examines the relaxation iterative algorithms for short-term forecasting of real processes. Their main structural features and the convergence are presented. These algorithms can work as with the small sample sizes (ranging from three records) so with the large amount of data (from three dozen up to thousand variables and up to five dozen of thousand records). Since in these algorithms is observed balance between speed and complexity of models which they build, there are suggested ways to increase the accuracy of solutions if volume of observations is small. For example, to accelerate drag selection for patients, there are used different sample divisions, adaptive prognosis and complex forecasting that takes into account low-frequency (trend) and high-frequency component (residue) of the real process. But one step forward forecast of space weather with a lot of records has shown the high accuracy on the examination sample without mentioned accuracy improvement tools. Comparison of oil price forecasts obtained via GMDH against well known methods showed greater accuracy for the first ones. This book is intended for specialists in the field of forecasting complex systems. Englisch, Taschenbuch.
5
Symbolbild
Iterative algorithms for short-term forecasting (Paperback) (2014)
DE PB NW RP
ISBN: 9783659634581 bzw. 3659634581, in Deutsch, LAP Lambert Academic Publishing, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, The Book Depository EURO [60485773], Gloucester, UK, United Kingdom.
Language: English Brand New Book ***** Print on Demand *****.
Von Händler/Antiquariat, The Book Depository EURO [60485773], Gloucester, UK, United Kingdom.
Language: English Brand New Book ***** Print on Demand *****.
7
Iterative algorithms for short-term forecasting
EN NW
ISBN: 9783659634581 bzw. 3659634581, in Englisch, OmniScriptum GmbH & Co. KG, OmniScriptum GmbH & Co. KG, OmniScriptum GmbH & Co. KG, neu.
Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten, Free Shipping on eligible orders over $25.
Kondrashova Nina, Paperback, English-language edition, Pub by OmniScriptum GmbH & Co. KG.
Kondrashova Nina, Paperback, English-language edition, Pub by OmniScriptum GmbH & Co. KG.
8
Iterative algorithms for short-term forecasting (2014)
~EN PB NW
ISBN: 9783659634581 bzw. 3659634581, vermutlich in Englisch, Taschenbuch, neu.
Lieferung aus: Deutschland, Next Day, Versandkostenfrei.
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