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科图分类法:
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O212.4 版次： |
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中图分类法:
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O212.4 版次： |
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著者:
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Agresti, Alan. |
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题名:
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Categorical data analysis / / , |
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版次:
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3rd ed. |
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出版发行:
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出版地： Hoboken, NJ : 出版社： Wiley, 出版日期： c2013. |
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载体形态:
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xvi, 714 p. : ill. ; 27 cm. |
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内容提要:
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"A classic in its own right, this book continues to provide an introduction to modern generalized linear models for categorical variables. The text emphasizes methods that are most commonly used in practical application, such as classical inferences for two- and three-way contingency tables, logistic regression, loglinear models, models for multinomial (nominal and ordinal) responses, and methods for repeated measurement and other forms of clustered, correlated response data. Chapter headings remain essentially with the exception of a new one on Bayesian inference for parametric models. Other major changes include an expansion of clustered data, new research on analysis of data sets with robust variables, extensive discussions of ordinal data, more on interpretation, and additional exercises throughout the book. R and SAS are now showcased as the software of choice. An author web site with solutions, commentaries, software programs, and data sets is available"--Provided by publisher. |
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主题词:
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Multivariate analysis. |
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索书号:
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1 |