Box Matthew (39 results)

Hardcover. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Condition: Good. 1st Edition. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Condition: Very Good. Illustrated. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

paperback. Condition: Very Good.

paperback. Condition: New. In shrink wrap.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Soft cover. Condition: Very Good. No Jacket. Crease to the front cover, otherwise a near fine copy.

Paperback. Condition: 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.…

Condition: New. In English.

Condition: New.

Condition: New. pp. 272.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: Brand New. 272 pages. 8.00x5.00x1.00 inches. In Stock.

Soft cover. Condition: Fine. First Edition. CLEAN Fine 1991 first edition soft cover.

Paperback. Condition: 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.

Condition: Wie neu. guter bis sehr guter Zustand, broschiert, h4, P.

Condition: As New. Unread book in perfect condition.

Condition: New. In.

Paperback. Condition: 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.…

Condition: New.

Condition: 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. . . . . …

Condition: New.

Condition: New.

Hardback. Condition: 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.…

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: Brand New. 272 pages. 8.00x5.00x1.00 inches. In Stock.

Condition: 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. . . . . Books ship from the US and Ireland. …

Condition: New. pp. 272.