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Condition: As New. Unread book in perfect condition.
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ARIMA vs. Spectral Analysis
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836466112 ISBN 13: 9783836466110
Condition: New.
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ARIMA vs. Spectral Analysis
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836466112 ISBN 13: 9783836466110
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 46.81
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ARIMA vs. Spectral Analysis
Language: English
Published by VDM Verlag Dr. Mueller e.K. 2008-02-15, 2008
ISBN 10: 3836466112 ISBN 13: 9783836466110
Paperback. Condition: New.
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ARIMA vs. Spectral Analysis
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836466112 ISBN 13: 9783836466110
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New.
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Paperback. Condition: Brand New. 140 pages. German language. 9.13x6.10x0.20 inches. In Stock.
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Internet Und Computerspielsucht Bei Kindern Und Jugendlichen -Language: German
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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ARIMA vs. Spectral Analysis
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836466112 ISBN 13: 9783836466110
Condition: New.
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Taschenbuch. Condition: Neu. ARIMA vs. Spectral Analysis | An Application on Mood Diaries | Sonja Katajun Lindenberg | Taschenbuch | 124 S. | Englisch | 2012 | AV Akademikerverlag | EAN 9783639439663 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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ARIMA vs. Spectral Analysis : An Application on Mood Diaries
Language: English
Published by VDM Verlag Dr. Müller Mär 2008, 2008
ISBN 10: 3836466112 ISBN 13: 9783836466110
Taschenbuch. Condition: Neu. Neuware - This book aims to introduce the reader to the time-domain and frequency-domain techniques of time series analysis.Both methods are compared and their equivalence is discussed. The application in psychological research is demonstrated on an example of mood diaries, similar to the study of Larsen and Kasimatis (1990). Univariate and bivariate time series analysis is done regarding the question whether time series techniques reveal deeper information than traditional methods. Special methodological issues and possible errors are discussed in terms of technical advancement. Empirical results showed that, contrary to the original study, there were no circaseptum rhythms in mood. Methodological results showed that the equivalence of both approaches can be used to crossvalidate the results for an improved model identification. Aggregation of mood raw data appears to be unjustifiable since mood processes differ very much between individuals. Recommendations are made for the user.
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Internet Und Computerspielsucht Bei Kindern Und Jugendlichen -Language: German
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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ARIMA vs. Spectral Analysis
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836466112 ISBN 13: 9783836466110
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 123.99
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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ARIMA vs. Spectral Analysis
Language: English
Published by VDM Verlag Dr. Mueller e.K., 2008
ISBN 10: 3836466112 ISBN 13: 9783836466110
Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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ARIMA vs. Spectral Analysis
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836466112 ISBN 13: 9783836466110
Condition: As New. Unread book in perfect condition.
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Condition: New. Prof. Dr. Katajun Lindenberg leitet die Abteilung Klinische Psychologie und Psychotherapie des Kindes- und Jugendalters sowie die Ambulanz fuer Kinder- und Jugendlichenpsychotherapie an der Johannes Gutenberg-Universitaet Mainz. Sonja Kewitz ist wiss. Mitarbe.
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ARIMA vs Spectral Analysis
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836466112 ISBN 13: 9783836466110
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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ARIMA vs Spectral Analysis
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836466112 ISBN 13: 9783836466110
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 48.44
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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ARIMA vs. Spectral Analysis
Language: English
Published by AV Akademikerverlag Jul 2012, 2012
ISBN 10: 363943966X ISBN 13: 9783639439663
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revision with unchanged content. This book aims to introduce the reader to the time-domain and frequency-domain techniques of time series analysis. Both methods are compared and their equivalence is discussed. The application in psychological research is demonstrated on an example of mood diaries, similar to the study of Larsen and Kasimatis (1990). Univariate and bivariate time series analysis is done regarding the question whether time series techniques reveal deeper information than traditional methods. Special methodological issues and possible errors are discussed in terms of technical advancement. Empirical results showed that, contrary to the original study, there were no circaseptum rhythms in mood. Methodological results showed that the equivalence of both approaches can be used to crossvalidate the results for an improved model identification. Aggregation of mood raw data appears to be unjustifiable since mood processes differ very much between individuals. Recommendations are made for the user. 124 pp. Englisch.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lindenberg Sonja KatajunSonja Katajun Lindenberg was a student of Psychology at the University of Heidelberg. Since 2008 she works as a a scientific member at the Center for Psychotherapy Research, University Hospital Heidelberg.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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ARIMA vs. Spectral Analysis
Language: English
Published by AV Akademikerverlag Jul 2012, 2012
ISBN 10: 363943966X ISBN 13: 9783639439663
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Revision with unchanged content. This book aims to introduce the reader to the time-domain and frequency-domain techniques of time series analysis. Both methods are compared and their equivalence is discussed. The application in psychological research is demonstrated on an example of mood diaries, similar to the study of Larsen and Kasimatis (1990). Univariate and bivariate time series analysis is done regarding the question whether time series techniques reveal deeper information than traditional methods. Special methodological issues and possible errors are discussed in terms of technical advancement. Empirical results showed that, contrary to the original study, there were no circaseptum rhythms in mood. Methodological results showed that the equivalence of both approaches can be used to crossvalidate the results for an improved model identification. Aggregation of mood raw data appears to be unjustifiable since mood processes differ very much between individuals. Recommendations are made for the user.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. This book aims to introduce the reader to the time-domain and frequency-domain techniques of time series analysis. Both methods are compared and their equivalence is discussed. The application in psychological research is demonstrated on an example of mood diaries, similar to the study of Larsen and Kasimatis (1990). Univariate and bivariate time series analysis is done regarding the question whether time series techniques reveal deeper information than traditional methods. Special methodological issues and possible errors are discussed in terms of technical advancement. Empirical results showed that, contrary to the original study, there were no circaseptum rhythms in mood. Methodological results showed that the equivalence of both approaches can be used to crossvalidate the results for an improved model identification. Aggregation of mood raw data appears to be unjustifiable since mood processes differ very much between individuals. Recommendations are made for the user.
