TY - BOOK ID - 8434637 TI - Bayesian Theory and Methods with Applications AU - Savchuk, Vladimir. AU - Tsokos, Chris P. PY - 2011 SN - 9491216139 9491216147 PB - Paris : Atlantis Press : Imprint: Atlantis Press, DB - UniCat KW - Statistics. KW - Computer science. KW - Statistical methods. KW - Mathematics. KW - Mathematical statistics. KW - Statistical Theory and Methods. KW - Applications of Mathematics. KW - Mathematical Modeling and Industrial Mathematics. KW - Probability and Statistics in Computer Science. KW - Biostatistics. KW - Popular Science in Mathematics/Computer Science/Natural Science/Technology. KW - Bayesian statistical decision theory KW - Mathematics KW - Physical Sciences & Mathematics KW - Mathematical Statistics KW - Bayesian field theory. KW - Bayesian statistical decision theory. KW - Bayes' solution KW - Bayesian analysis KW - Field theory, Bayesian KW - Applied mathematics. KW - Engineering mathematics. KW - Mathematical models. KW - Popular works. KW - Popular Science, general. KW - Statistical decision KW - Statistical physics KW - Science (General). KW - Informatics KW - Science KW - Math KW - Statistical inference KW - Statistics, Mathematical KW - Statistics KW - Probabilities KW - Sampling (Statistics) KW - Statistical methods KW - Statistics . KW - Biological statistics KW - Biology KW - Biometrics (Biology) KW - Biostatistics KW - Biomathematics KW - Models, Mathematical KW - Simulation methods KW - Engineering KW - Engineering analysis KW - Mathematical analysis KW - Statistical analysis KW - Statistical data KW - Statistical science KW - Econometrics UR - https://www.unicat.be/uniCat?func=search&query=sysid:8434637 AB - 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. ER -