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Beschreibung
A self-contained introduction to probability, exchangeability and Bayes¿ rule provides a theoretical understanding of the applied material.
Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves.
The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.
Details
| Verlag | Springer US |
| Ersterscheinung | 19. November 2010 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 435 Gramm |
| Format | Softcover |
| ISBN-13 | 9781441928283 |
| Auflage | Softcover reprint of hardcover 1st ed. 2009 |
| Seiten | 271 |
Schlagwörter
Econometrics, Mathematik für Informatiker, Operations Research - Management Science, Probability and Statistics in Computer Science, Probability Theory, Sociological Methods, Soziologie, Statistical Theory and Methods, Stochastik, Unternehmensforschung, Wahrscheinlichkeitsrechnung und Statistik, Ökonometrie und Wirtschaftsstatistik
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