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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.

Statistics. --- Computer science. --- Statistical methods. --- Mathematics. --- Mathematical 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/Technology. --- Bayesian statistical decision theory --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Bayesian field theory. --- Bayesian statistical decision theory. --- Bayes' solution --- Bayesian analysis --- Field theory, Bayesian --- Applied mathematics. --- Engineering mathematics. --- Mathematical models. --- Popular works. --- Popular Science, general. --- Statistical decision --- Statistical physics --- Science (General). --- Informatics --- Science --- Math --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical methods --- Statistics . --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Models, Mathematical --- Simulation methods --- Engineering --- Engineering analysis --- Mathematical analysis --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

Science --- Statistical science --- Operational research. Game theory --- Mathematics --- Biomathematics. Biometry. Biostatistics --- Planning (firm) --- popularisering wetenschap --- toegepaste wiskunde --- stochastische analyse --- Bayesian statistics --- biostatistiek --- mathematische modellen --- biometrie --- wetenschappen --- informatietechnologie --- statistisch onderzoek