An introduction to categorical data analysis (Wiley Series in Probability & Statistics: Probability Section) - Hardcover
Inhaltsangabe
A non-technical introduction featuring the most important techniques for analyzing categorical data such as classical inferences for two- and three-way contingency tables, logistic regression, log linear models, and matched-pairs data. Contains more than 200 exercises and approximately 100 examples of authentic data sets.
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Über die Autorin bzw. den Autor
ALAN AGRESTI is a professor in the Department of Statistics at the University of Florida. He has published extensively and has served on the editorial boards of several journals. He is the author of two advanced texts, including the bestselling Categorical Data Analysis, and the coauthor of Statistical Methods for the Social Sciences.
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An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics)
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An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics)
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An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics)
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An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics)
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An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics)
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An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics)
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Hardcover. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Bestandsnummer des Verkäufers G0471113387I3N00
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An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics)
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Hardcover. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Bestandsnummer des Verkäufers G0471113387I3N00
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An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics)
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Hardcover. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Bestandsnummer des Verkäufers G0471113387I3N00