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B. P. Carlin & T. A. Louis (2008) Bayesian Methods for Data Analysis, third edition. Boca Raton: Chapman & Hall/CRC. 552 pages. US$69.95. ISBN: 978-1584886976
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B. P. Carlin & T. A. Louis (2008) Bayesian Methods for Data Analysis, third edition. Boca Raton: Chapman & Hall/CRC. 552 pages. US$69.95. ISBN: 978-1584886976
Published online by Cambridge University Press:
01 January 2025
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References
Hogg, R.V., & Craig, A.T. (1978). Introduction to mathematical statistics, (4th ed.). New York: MacMillan.Google Scholar
Mood, A.M., Graybill, F.A., & Boes, D.C. (1974). Introduction to the Theory of Statistics, (3rd ed.). New York: McGraw-Hill.Google Scholar
Lunn, D.J., Thomas, A., Best, N., & Spiegelhalter, D. (2000). WinBUGS—a Bayesian modelling framework: concepts, structure, and extensibility. Statistics and Computing, 10, 325–337.CrossRefGoogle Scholar
R Development Core Team (2009). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org.Google Scholar