Statistics: A Bayesian
Perspective
Donald A. Berry Duke
University
Description:
Appropriate for a one-term
introductory statistics course, this text introduces statistical concepts and methods from
a predominantly Bayesian perspective. It covers standard topics taking the Bayesian view
that subjectivity is inevitable in science and that different conclusions from the same
study are normal and stresses the advantages of this approach in scientific inference. It
presents statistics as a means of integrating data into the scientific process and
stresses data analysis and experimental design ideas early.
Benefits:
Uncommonly interesting,
real-world examples, including case studies with data from experiments concerning
scientific questions.
Applications drawn
largely from medicine and sports, because both yield intrinsically effective data for
teaching statistics.
Chapter appendices that
provide specific instructions for running exercises on MINITAB?. The data disk also
contains MINITAB macros for that purpose.
516 pages