Sprache: Englisch
Verlag: Greenhaven Press (edition 1), 2005
ISBN 10: 0737725613 ISBN 13: 9780737725612
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Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 0521691559 ISBN 13: 9780521691550
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Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 0521691559 ISBN 13: 9780521691550
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Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 0521691559 ISBN 13: 9780521691550
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paperback. Zustand: New. In shrink wrap.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 0521691559 ISBN 13: 9780521691550
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Verlag: Cambridge University Press, 2014
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Sprache: Englisch
Verlag: Cambridge University Press, GB, 2014
ISBN 10: 0521691559 ISBN 13: 9780521691550
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In den WarenkorbPaperback. Zustand: New. Time series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time series properties of their data as a nuisance rather than a substantively meaningful dynamic process to be modeled and interpreted. Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics. Janet M. Box-Steffensmeier, John R. Freeman, Jon C. Pevehouse and Matthew P. Hitt cover a wide range of topics including ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting. This book is aimed at researchers and graduate students who have taken at least one course in multivariate regression. Examples are drawn from several areas of social science, including political behavior, elections, international conflict, criminology, and comparative political economy.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 0521691559 ISBN 13: 9780521691550
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Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 0521691559 ISBN 13: 9780521691550
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Sprache: Englisch
Verlag: Cambridge University Press CUP, 2014
ISBN 10: 0521691559 ISBN 13: 9780521691550
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Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 0521691559 ISBN 13: 9780521691550
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In den WarenkorbPaperback. Zustand: Brand New. 272 pages. 8.00x5.00x1.00 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 0521871166 ISBN 13: 9780521871167
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Erstausgabe
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Paperback. Zustand: Good. No Jacket. Cover shows light edgewear; This could have light cosmetic flaws, but remains in good condition. No dust jacket included with this book. Secure packaging for safe delivery.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 0521871166 ISBN 13: 9780521871167
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Sprache: Englisch
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Sprache: Englisch
Verlag: Cambridge University Press, 2014
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Sprache: Englisch
Verlag: Cambridge University Press, GB, 2014
ISBN 10: 0521691559 ISBN 13: 9780521691550
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In den WarenkorbPaperback. Zustand: New. Time series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time series properties of their data as a nuisance rather than a substantively meaningful dynamic process to be modeled and interpreted. Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics. Janet M. Box-Steffensmeier, John R. Freeman, Jon C. Pevehouse and Matthew P. Hitt cover a wide range of topics including ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting. This book is aimed at researchers and graduate students who have taken at least one course in multivariate regression. Examples are drawn from several areas of social science, including political behavior, elections, international conflict, criminology, and comparative political economy.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 0521871166 ISBN 13: 9780521871167
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Zustand: New. This book provides instruction and examples of the core methods in time series econometrics, drawing from several main fields of the social sciences. Series: Analytical Methods for Social Research. Num Pages: 292 pages, 93 b/w illus. 30 tables. BIC Classification: JHBC; PBT; PBW. Category: (U) Tertiary Education (US: College). Dimension: 228 x 152 x 21. Weight in Grams: 520. . 2014. Hardback. . . . .
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 0521871166 ISBN 13: 9780521871167
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Sprache: Englisch
Verlag: Cambridge University Press, GB, 2014
ISBN 10: 0521871166 ISBN 13: 9780521871167
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In den WarenkorbHardback. Zustand: New. Time series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time series properties of their data as a nuisance rather than a substantively meaningful dynamic process to be modeled and interpreted. Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics. Janet M. Box-Steffensmeier, John R. Freeman, Jon C. Pevehouse and Matthew P. Hitt cover a wide range of topics including ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting. This book is aimed at researchers and graduate students who have taken at least one course in multivariate regression. Examples are drawn from several areas of social science, including political behavior, elections, international conflict, criminology, and comparative political economy.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 0521871166 ISBN 13: 9780521871167
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: Cambridge University Press CUP, 2014
ISBN 10: 0521871166 ISBN 13: 9780521871167
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. pp. 272.