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Condition: Ottime. italiano Condizioni dell'esterno: Ottime Condizioni dell'interno: Ottime.
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Psicobufale Dall'Anoressia alla Zoofobia, come difendersi dalle balle raccontate dai media e continuare a credere nella psicologia
Published by Rizzoli, 2008
First Edition
Condition: buono. Psicologia Essay writing Psychology cartone edit. con titoli al dorso e sovrac. ill. - prima edizione OTTIME CONDIZIONI.
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Psicobufale. Dall'anoressia alla zoofobia, come difendersi dalle balle raccontate dai media e continuare a credere nella psicologia
Language: Italian
Published by Rizzoli, Milano, 2008
Seller: Librerie Dedalus e Minotauro, Trieste, TS, Italy
Seller rating 4 out of 5 stars
First Edition
Rilegato. Condition: ottimo. Dust Jacket Condition: ottimo. prima edizione.
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Condition: Used: Like New. Libro nuovo, la copertina riporta lievi segni di giacenza. Consegna 24/48 ore 51a6.
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Psicobufale. Dall'anoressia alla zoofobia, come difendersi dalle balle raccontate dai media e continuare a credere nella psicologia
Seller: Librerie Dedalus e Minotauro, Trieste, TS, Italy
Seller rating 4 out of 5 stars
Rilegato. Condition: nuovo.
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Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation (Statistics for Social and Behavioral Sciences)
Book 31 of 40: Statistics for Social and Behavioral SciencesSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 137.84
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation (Statistics for Social and Behavioral Sciences)
Book 31 of 40: Statistics for Social and Behavioral SciencesSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 137.84
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation
Book 31 of 40: Statistics for Social and Behavioral SciencesLanguage: English
Published by Springer International Publishing, 2018
ISBN 10: 3319811274 ISBN 13: 9783319811277
Kartoniert / Broschiert. Condition: New.
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Seasonal Adjustment Methods and Real Time Trend-Cycle Prediction
Book 31 of 40: Statistics for Social and Behavioral SciencesLanguage: English
Published by Springer International Publishing, 2016
ISBN 10: 3319318209 ISBN 13: 9783319318202
Condition: New.
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Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation
Book 31 of 40: Statistics for Social and Behavioral SciencesLanguage: English
Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319811274 ISBN 13: 9783319811277
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores widely used seasonal adjustment methods and recent developments in real time trend-cycle estimation. It discusses in detail the properties and limitations of X12ARIMA, TRAMO-SEATS and STAMP - the main seasonal adjustment methods used by statistical agencies. Several real-world cases illustrate each method and real data examples can be followed throughout the text. The trend-cycle estimation is presented using nonparametric techniques based on moving averages, linear filters and reproducing kernel Hilbert spaces, taking recent advances into account. The book provides a systematical treatment of results that to date have been scattered throughout the literature. Seasonal adjustment and real time trend-cycle prediction play an essential part at all levels of activity in modern economies. They are used by governments to counteract cyclical recessions, by central banks to control inflation, by decision makers for better modeling and planning and by hospitals, manufacturers, builders, transportation, and consumers in general to decide on appropriate action. This book appeals to practitioners in government institutions, finance and business, macroeconomists, and other professionals who use economic data as well as academic researchers in time series analysis, seasonal adjustment methods, filtering and signal extraction. It is also useful for graduate and final-year undergraduate courses in econometrics and time series with a good understanding of linear regression and matrix algebra, as well as ARIMA modelling.
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Hardcover. Condition: Brand New. 300 pages. 9.50x6.25x1.00 inches. In Stock.
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Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation
Book 31 of 40: Statistics for Social and Behavioral SciencesLanguage: English
Published by Springer International Publishing Mai 2018, 2018
ISBN 10: 3319811274 ISBN 13: 9783319811277
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 -This book explores widely used seasonal adjustment methods and recent developments in real time trend-cycle estimation. It discusses in detail the properties and limitations of X12ARIMA, TRAMO-SEATS and STAMP - the main seasonal adjustment methods used by statistical agencies. Several real-world cases illustrate each method and real data examples can be followed throughout the text. The trend-cycle estimation is presented using nonparametric techniques based on moving averages, linear filters and reproducing kernel Hilbert spaces, taking recent advances into account. The book provides a systematical treatment of results that to date have been scattered throughout the literature. Seasonal adjustment and real time trend-cycle prediction play an essential part at all levels of activity in modern economies. They are used by governments to counteract cyclical recessions, by central banks to control inflation, by decision makers for better modeling and planning and by hospitals, manufacturers, builders, transportation, and consumers in general to decide on appropriate action. This book appeals to practitioners in government institutions, finance and business, macroeconomists, and other professionals who use economic data as well as academic researchers in time series analysis, seasonal adjustment methods, filtering and signal extraction. It is also useful for graduate and final-year undergraduate courses in econometrics and time series with a good understanding of linear regression and matrix algebra, as well as ARIMA modelling. 300 pp. Englisch.
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Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation
Book 31 of 40: Statistics for Social and Behavioral SciencesLanguage: English
Published by Springer International Publishing Jun 2016, 2016
ISBN 10: 3319318209 ISBN 13: 9783319318202
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores widely used seasonal adjustment methods and recent developments in real time trend-cycle estimation. It discusses in detail the properties and limitations of X12ARIMA, TRAMO-SEATS and STAMP - the main seasonal adjustment methods used by statistical agencies. Several real-world cases illustrate each method and real data examples can be followed throughout the text. The trend-cycle estimation is presented using nonparametric techniques based on moving averages, linear filters and reproducing kernel Hilbert spaces, taking recent advances into account. The book provides a systematical treatment of results that to date have been scattered throughout the literature. Seasonal adjustment and real time trend-cycle prediction play an essential part at all levels of activity in modern economies. They are used by governments to counteract cyclical recessions, by central banks to control inflation, by decision makers for better modeling and planning and by hospitals, manufacturers, builders, transportation, and consumers in general to decide on appropriate action. This book appeals to practitioners in government institutions, finance and business, macroeconomists, and other professionals who use economic data as well as academic researchers in time series analysis, seasonal adjustment methods, filtering and signal extraction. It is also useful for graduate and final-year undergraduate courses in econometrics and time series with a good understanding of linear regression and matrix algebra, as well as ARIMA modelling. 300 pp. Englisch.
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