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Books > Science & Mathematics > Mathematics > Probability & statistics
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Statistical Methods for Categorical Data Analysis (Hardcover, 2nd edition)
Loot Price: R2,129
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Statistical Methods for Categorical Data Analysis (Hardcover, 2nd edition)
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This book provides a comprehensive introduction to methods and
models for categorical data analysis and their applications in
social science research. An explicit aim of the book is to
integrate the transformational and the latent variable approach,
two diverse but complementary traditions dealing with the analysis
of categorical data. This is the first introductory text to cover
models and methods for discrete dependent variables,
cross-classifications, and longitudinal data in a rigorous, yet
accessible, manner in a single volume.The second edition of this
book includes new material on multilevel models for categorical
data. Several chapters have undergone extensive revisions and
extensions to include new applications and examples. Highlights of
the 2nd edition include a detailed discussion of classical and
Bayesian estimation techniques for hierarchical/multilevel models,
extensive coverage of discrete-time hazard models and Cox
regression models, and methods for evaluating and accommodating
departures from model assumptions. The accompanying website
contains programming scripts to replicate each example using
various statistical packages, which has proven to be an invaluable
resource for instructors, students, and researchers. This book
presents the essential methods and models that form the core of
contemporary social statistics. The book covers a remarkable range
of models that have applications in sociology, demography,
psychometrics, econometrics, political science, biostatistics, and
other fields. It will be especially useful as a graduate textbook
for students in advanced social statistics courses and as a
reference book for applied researchers. Companion website also
available, at https://webspace.utexas.edu/dpowers/www/
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