Emphasizing the use of WinBUGS and R to analyze real data, thsi book presents statistical tools to address scientific questions. It highlights foundational issues in statistics, the importance of making accurate predictions, and the need for scientists and statisticians to collaborate in analyzing data.
Introducing Bayesian methods, this book emphasizes that the primary role of statistics is to provide appropriate tools for addressing scientific questions. As such, the authors present a collaborative approach to data analysis involving both scientists and statisticians that can be used to model unknown parameters using scientific information, called prior information or apriori. Keeping the mathematics to a minimum, the text focuses on applications, statistical ideas, models, and interpretations. It features WinBUGS throughout the computational problems and uses Monte Carlo methods for all simulations.
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