Monte Carlo statistical methods / Christian P. Robert, George Casella

Yazar:

Robert, Christian P, 1961-

Katkıda bulunan(lar):

Casella, George

text

Ortam türü:

unmediated

Taşıyıcı türü:

volume

ISBN:

0387212396
9780387212395

Konu(lar):

DDC sınıflandırma:

LOC sınıflandırması:

QA276 .R575 2004

İçindekiler:

-- Random Variable Generation -- Monte Carlo Integration -- Controlling Monte Carlo Variance -- Monte Carlo Optimization -- Markov Chains -- Metropolis-Hastings Algorithm -- Slice Sampler -- Two-Stage Gibbs Sampler -- Multi-Stage Gibbs Sampler -- Variable Dimension Models and Reversible Jump -- Diagnosing Convergence -- Perfect Sampling -- Iterated and Sequential Importance Sampling

Konular:"Monte Carlo statistical methods, particularly those based on Markov chains, are now an essential component of the standard set of techniques used by statisticians. This new edition has been revised towards a coherent and flowing coverage of these simulation techniques, with incorporation of the most recent developments in the field. In particular, the introductory coverage of random variable generation has been totally revised, with many concepts being unified through a fundamental theorem of simulation"--Back cover

Bu kütüphanenin etiketleri: Kütüphanedeki eser adı için etiket yok. Etiket eklemek için oturumu açın.

Mevcut
Materyal türü	Ana kütüphane	Koleksiyon	Yer numarası	Durum	İade tarihi	Barkod	Materyal Ayırtmaları
Kitap	Mehmet Akif Ersoy Merkez Kütüphanesi Genel Koleksiyon	Non-fiction	QA276 .R575 2004 (Rafa gözat(Aşağıda açılır))	Kullanılabilir		035549

Toplam ayırtılanlar: 0

Includes bibliographical references (pages 591-622) and indexes

"Monte Carlo statistical methods, particularly those based on Markov chains, are now an essential component of the standard set of techniques used by statisticians. This new edition has been revised towards a coherent and flowing coverage of these simulation techniques, with incorporation of the most recent developments in the field. In particular, the introductory coverage of random variable generation has been totally revised, with many concepts being unified through a fundamental theorem of simulation"--Back cover

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