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Stochastic parameter regression models / Paul Newbold, Theodore Bos.
LIBRA HA31.3 .N49 1985
Available from offsite location
- Format:
- Book
- Author/Creator:
- Newbold, Paul.
- Series:
- Quantitative applications in the social sciences ; no. 07-051.
- Sage university papers series. Quantitative applications in the social sciences ; no. 07-051
- Language:
- English
- Subjects (All):
- Regression analysis.
- Stochastic processes.
- Physical Description:
- 80 pages : illustrations ; 22 cm.
- Place of Publication:
- Beverly Hills : Sage Publications, [1985]
- Summary:
- This excellent introduction to stochastic parameter regression models is more advanced and technically difficult than other papers in this series. These models allow relationships to vary through time, rather than requiring them to be fixed, without forcing the analyst to specify and analyze the causes of the time-varying relationships. This volume will be most useful to those with a good working knowledge of standard regression models and who wish to understand methods which deal with relationships that vary slowly over time, but for which the exact causes of variation cannot be identified.
- Notes:
- Bibliography: pages 77-79.
- OCLC:
- 12279644
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