ID: 162645
Omschrijving
ISBN: 9780412040610
The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical terms, those developments have had surprisingly little impact on the way most data analysts handle missing values on a routine basis. Analysis of Incomplete Multivariate Data helps bridge the gap between theory and practice, making these missing-data tools accessible to a broad audience. It presents a unified, Bayesian approach to the analysis of incomplete multivariate data, covering datasets in which the variables are continuous, categorical, or both. The focus is applied, where necessary, to help readers thoroughly understand the statistical properties of those methods, and the behavior of the accompanying algorithms. All techniques are illustrated with real data examples, with extended discussion and pra
Dit artikel bestel je voordelig 2e hands op studystore.nlIn goede staat, snel in huis én gratis thuisbezorgd. Toelichting:De prijs in deze advertentie is gebaseerd op onze laagste 2e hands prijs (OP=OP).Zodra een 2e hands boek op is, kan het voorkomen dat je op Studystore het boek alleen nog nieuw kunt bestellen.
The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical terms, those developments have had surprisingly little impact on the way most data analysts handle missing values on a routine basis. Analysis of Incomplete Multivariate Data helps bridge the gap between theory and practice, making these missing-data tools accessible to a broad audience. It presents a unified, Bayesian approach to the analysis of incomplete multivariate data, covering datasets in which the variables are continuous, categorical, or both. The focus is applied, where necessary, to help readers thoroughly understand the statistical properties of those methods, and the behavior of the accompanying algorithms. All techniques are illustrated with real data examples, with extended discussion and pra
Dit artikel bestel je voordelig 2e hands op studystore.nlIn goede staat, snel in huis én gratis thuisbezorgd. Toelichting:De prijs in deze advertentie is gebaseerd op onze laagste 2e hands prijs (OP=OP).Zodra een 2e hands boek op is, kan het voorkomen dat je op Studystore het boek alleen nog nieuw kunt bestellen.