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2 Reviews
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Average Customer Review
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14 of 18 people found the following review helpful:
4.0 out of 5 stars
helpful!
Highly recommended to any graduate student who wants to handle with discrete dependent variable in his statistical analysis. Authors explain probit, logit, log-linear model... very clearly with many examples supported by their web-site.
Published on June 5, 2000
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2 of 11 people found the following review helpful:
1.0 out of 5 stars
Not recommended at all...
If you are looking a book for categorical variables this one is definitely not your first choice. There are others excellent books on the topic such as Agresti's first book (easier to read) or Simonoff's, which will guide you and give you a clear picture of categorical data analysis. Otherwise try Jobson's :Applied Multivariate Data Analysis, which is a top book. Daniel...
Published on January 11, 2007 by Vasilios Kaditis
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14 of 18 people found the following review helpful:
4.0 out of 5 stars
helpful!,
By A Customer
This review is from: Statistical Methods for Categorical Data Analysis (Paperback)
Highly recommended to any graduate student who wants to handle with discrete dependent variable in his statistical analysis. Authors explain probit, logit, log-linear model... very clearly with many examples supported by their web-site.
2 of 11 people found the following review helpful:
1.0 out of 5 stars
Not recommended at all...,
By
This review is from: Statistical Methods for Categorical Data Analysis (Paperback)
If you are looking a book for categorical variables this one is definitely not your first choice. There are others excellent books on the topic such as Agresti's first book (easier to read) or Simonoff's, which will guide you and give you a clear picture of categorical data analysis. Otherwise try Jobson's :Applied Multivariate Data Analysis, which is a top book. Daniel Powers book will not teach you the subject so you better avoid it!
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Statistical Methods for Categorical Data Analysis by Yu Xie (Paperback - November 12, 1999)
Used & New from: $11.00
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