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Monte Carlo Statistical Methods

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  • 684 Seiten
  • 24 Lesestunden

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The book presents a comprehensive exploration of Monte Carlo statistical methods, emphasizing those based on Markov chains, which are crucial for modern statisticians. This revised edition offers a cohesive and updated discussion of simulation techniques, integrating the latest advancements in the field. Notably, the introductory section on random variable generation has been thoroughly overhauled, unifying various concepts through a fundamental theorem of simulation, enhancing the reader's understanding of these essential methods.

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Monte Carlo Statistical Methods, George Casella, Robert-Christian Knorr

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Erscheinungsdatum
2004
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(Hardcover)
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