Bayesian Theory and Methods with Applications [electronic resource] / by Vladimir Savchuk, Chris P. Tsokos.
Tipo de material:
TextoSeries Atlantis Studies in Probability and Statistics, 1Editor: Paris : Atlantis Press, 2011Descripción: XIV, 318 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789491216145Trabajos contenidos: SpringerLink (Online service)Tema(s): Statistics | Computer science | Statistical methods | Mathematics | Mathematical statistics | Statistics | Statistical Theory and Methods | Applications of Mathematics | Mathematical Modeling and Industrial Mathematics | Probability and Statistics in Computer Science | Biostatistics | Popular Science in Mathematics/Computer Science/Natural Science/TechnologyFormatos físicos adicionales: Sin títuloClasificación CDD: 519.5 Clasificación LoC:QA276-280Recursos en línea: de clik aquí para ver el libro electrónico Springer eBooksResumen: Bayesian methods are growing more and more popular, finding new practical applications in the fields of health sciences, engineering, environmental sciences, business and economics and social sciences, among others. This book explores the use of Bayesian analysis in the statistical estimation of the unknown phenomenon of interest. The contents demonstrate that where such methods are applicable, they offer the best possible estimate of the unknown. Beyond presenting Bayesian theory and methods of analysis, the text is illustrated with a variety of applications to real world problems.
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Bayesian methods are growing more and more popular, finding new practical applications in the fields of health sciences, engineering, environmental sciences, business and economics and social sciences, among others. This book explores the use of Bayesian analysis in the statistical estimation of the unknown phenomenon of interest. The contents demonstrate that where such methods are applicable, they offer the best possible estimate of the unknown. Beyond presenting Bayesian theory and methods of analysis, the text is illustrated with a variety of applications to real world problems.
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