This volume presents in detail the fundamental theories of linear
regression analysis and diagnosis, as well as the relevant
statistical computing techniques so that readers are able to
actually model the data using the methods and techniques described
in the book. It covers the fundamental theories in linear
regression analysis and is extremely useful for future research in
this area. The examples of regression analysis using the
Statistical Application System (SAS) are also included. This book
is suitable for graduate students who are either majoring in
statistics/biostatistics or using linear regression analysis
substantially in their subject fields.
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