Bayesian ideas and data analysis

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.

• ISBN: 978-1-4398-0354-7
• Editorial: CRC Press
• Encuadernacion: Cartoné
• Páginas: 488
• Fecha Publicación: 12/07/2010
• Nº Volúmenes: 1
• Idioma: Inglés