Bayesian statistics


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Bayesian statistics

[¦bāz·ē·ən stə′tis·tiks]
(statistics)
An approach to statistics in which estimates are based on a synthesis of a prior distribution and current sample data.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
References in periodicals archive ?
Bayesian statistics provides researchers the information they need when deciding about statistical hypothesis (Cohen, 1994) so introducing it in educational programs will be helpful for scientific progress.
"By using Bayesian statistics in this uniquely-designed trial we had hoped that it would enable us to demonstrate clinical success faster than more traditional study designs.
Lynch, Introduction to Applied Bayesian Statistics and Estimation for Social Scientists, Springer New York, New York, NY, USA, 2007.
Proceedings ofthe Fourth Valencia International Meeting on Bayesian Statistics, Oxford: Oxford University Press, 1992; pp.
Several alternatives to p-values have been proposed, [8,9] including confidence intervals and Bayesian statistics. A confidence interval provides two-dimensional information, the point estimate (signal) and the width of the confidence interval (noise), thus it can potentially be more informative than a p-value and should always be reported.
Keywords: Bayesian statistics, growth model, inter-individual competition, Picea likiangensis forest, spatial autocorrelation.
Part V: These sections include chapters regarding experimental design, inferential statistics and computer design, Bayesian statistics, and predictive modeling.
for the Use of Bayesian Statistics in Medical Device Clinical Trials, "Bayesian statistics is an approach for learning from evidence as it accumulates.
Hahn shows how Bayesian statistics can help generate insights into business and management data, and provides sections that demonstrate in detail the use of Bayesian approaches with actual business data.