This book is a definitive work that captures the current state of knowledge of Bayesian Analysis in Statistics and Econometrics and attempts to move it forward. It covers such topics as foundations, forecasting inferential matters, regression, computation and applications.
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.
This work provides descriptions, explanations and examples of the Bayesian approach to statistics, demonstrating the utility of Bayesian methods for analyzing real-world problems in the health sciences. The work considers the individual components of Bayesian analysis.;College or university bookstores may order five or more copies at a special student price, available on request from Marcel Dekker, Inc.