科图分类法:
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O21/2 版次: |
中图分类法:
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O21 版次: |
著者:
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Hilbe, Joseph M., |
题名:
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Modeling count data / / , |
出版发行:
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出版地: New York, NY : 出版社: Cambridge University Press, 出版日期: 2014. |
载体形态:
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xv, 283 p. : ill. ; 25 cm. |
内容提要:
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"This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of linear regression and works up to an analysis of the Poisson and negative binomial models, and to the problem of overdispersion. Examples in Stata, R, and SAS code enable readers to adapt models for their own purposes, making the text an ideal resource for researchers working in public health, ecology, econometrics, transportation, and other related fields"-- |
主题词:
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Multivariate analysis. |
主题词:
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Statistics. |
主题词:
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Linear models (Statistics) |
索书号:
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O21/2 |