Box jon (34 risultati)

Paperback. Condizione: Very Good. Prompt Shipment, shipped in Boxes, Tracking PROVIDEDMINORCREASING ELSEvery good clean copy.

Paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

softcover. Condizione: very good. Good to Very good condition.?Minor wear. Binding tight, pages clean. Pictures?available?upon request.? nd. Box, Birck (illustratore).

paperback. Condizione: Very Good.

Soft cover. Condizione: Very Good. 153 pages. Edward D Hoch "The Trial of Ben Snow" / Bob Tippee "Questionable Associations" / Robert Barnard "The Nick of Time" / Robert Rwohy "At a Rest Stop South of Portland" / Donald Olsen "No Hard Feelings" / James Powell "The Hot-Stove League" / Jon L Breen "The Jury Box" / Andrew Vachss "Family Resemblance" / Jeffry Scott "Jojo and Mr Punch" / William Forrest "The Game" / James Holding "Bylines" / Patricia Highsmith "A Safety in Numbers / George Baxt "Widow's Pique" / Ernest Savage "Shannon's Way" 160 pages. (SL#39).…

paperback. Condizione: New. In shrink wrap.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Paperback. Condizione: 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.…

Condizione: New.

Condizione: New.

Condizione: New. In English.

Condizione: New. pp. 272.

Condizione: As New. Unread book in perfect condition.

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

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

Condizione: As New. Unread book in perfect condition.

Condizione: 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. . . . . …

Paperback. Condizione: 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.…

Condizione: New.

Condizione: New.

Condizione: New. In English.

Hardback. Condizione: 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.…

Condizione: New.

Condizione: As New. Unread book in perfect condition.

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

Condizione: New. pp. 272.

Condizione: 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. …

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

Hardback. Condizione: 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.…