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Time Series Analysis: Regression Techniques (Quantitative Applications in the Social Sciences)

Time Series Analysis: Regression Techniques (Quantitative Applications in the Social Sciences)

Time Series Analysis: Regression Techniques (Quantitative Applications in the
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Time Series Analysis: Regression Techniques (Quantitative Applications in the Social Sciences) Paperback - 1990

by Ostrom, Charles W

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SAGE Publications, Inc, 1990-01-01. 1. paperback. Used: Good. 5.50x0.22x8.50. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Time Series Analysis: Regression Techniques (Quantitative Applications in the Social Sciences)
  • Author Ostrom, Charles W
  • Binding Paperback
  • Edition 1
  • Condition Used: Good
  • Pages 96
  • Volumes 1
  • Language ENG
  • Publisher SAGE Publications, Inc
  • Publication date 1990-01-01
  • Illustrated Yes
  • Bookseller's Inventory # SONG0803931352
  • ISBN 9780803931350 / 0803931352
  • Weight 0.25 lbs (0.11 kg)
  • Dimensions 8 x 5 x 0.23 in (20.32 x 12.70 x 0.58 cm)
  • Size 5.50x0.22x8.50
  • Category Sociology
  • Library of Congress Catalogue Number 89010715
  • Dewey Decimal Code 300.151
  • Quantity available 1

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Reader reviews for Time Series Analysis: Regression Techniques (Quantitative Applications in the Social Sciences)

From the publisher

"The text gives a good basis for understanding the ideas of the time series models and estimation, without overwhelming readers with the complexity of the subject."

--Journal of the American Statistical Association

Completely revised and updated, this second edition of Time Series Analysis examines techniques for the study of change based on regression analysis. Ostrom demonstrates how these regression techniques may be employed for hypothesis testing, estimating, and forecasting. In addition, analysis strategies for both lagged and nonlagged models are presented and alternative time-dependent processes are explored.


First line

This monograph is designed to serve as an in-depth introduction to a variation of the basic regression model that utilizes data of a special type-time series.

About the author

Charles W. Ostrom, Jr. is a Professor of Political Science. Professor Ostrom joined the MSU faculty in 1974 and taught in the Political Science Department continuously with the exception of sabbaticals at the University of Minnesota (1982-83), University of Nebraska-Lincoln (1992-93), and National Center for State Courts (2000-2001). Professor Ostrom received his Ph.D. from Indiana University in 1975. Professor Ostrom's current professional interests are focused on US trial courts. His work includes work on criminal sentencing, racial discrimination, trial court culture, judicial workload, and court performance. The aforementioned work has been funded by the National Institute of Justice. Professor Ostrom received the American Council on Education Fellowship for the 1992-93 class.

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