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“Peng provides an excellent overview of data analysis using the powerful statistical software package SAS. This book is quite appropriate as a self-placed tutorial for researchers, as well as a textbook or supplemental workbook for data analysis courses such as statistics or research methods. Peng provides detailed coverage of SAS capabilities using step-by-step procedures and includes numerous comprehensive graphics and figures, as well as SAS printouts. Readers do not need a background in computer science or programming.
University of applied sciences bfi Vienna",Shortcomings:\1) I am not quite pleased with the didactic presentation of the data analysis methods considered in book - one needs in any case some other statistical book to understand the methods.2) I expected more from a book called \Data analysis...". You find there no more advanced data analysis methods than regression.
Despite offering several affordable packages, we were not allowed to require students to use SAS. \Excellent introduction to SAS and would be an excellent resource.
Shortcomings:
1) I am not quite pleased with the didactic presentation of the data analysis methods considered in book - one needs in any case some other statistical book to understand the methods. 2) I expected more from a book called "Data analysis...". You find there no more advanced data analysis methods than regression. 3) I was articularly looking for a statistical book with accompanied software SAS. This book is in fact about SAS language with some practical applications. Moreover, there is no connection to the SAS Enterprise Guide at all.
Despite offering several affordable packages, we were not allowed to require students to use SAS.
Excellent introduction to SAS and would be an excellent resource.
